Does intervention with clindamycin and a live biotherapeutic drug containing Lactobacillus crispatus impact the reproductive outcome of IVF patients with abnormal vaginal microbiota: a randomised double-blind, placebo-controlled multicentre trial

Does intervention with clindamycin and a live biotherapeutic drug containing Lactobacillus crispatus impact the reproductive outcome of IVF patients with abnormal vaginal microbiota: a randomised double-blind, placebo-controlled multicentre trial | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Does intervention with clindamycin and a live biotherapeutic drug containing Lactobacillus crispatus impact the reproductive outcome of IVF patients with abnormal vaginal microbiota: a randomised double-blind, placebo-controlled multicentre trial Thor Haahr, Nina Freiesleben, Mette Jensen, Helle Elbaek, Birgit Alsbjerg, and 9 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4271948/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The aim of the present randomised, double-blind, placebo-controlled trial was to investigate whether antibiotics and live lactobacilli would improve clinical pregnancy rates in IVF patients with abnormal vaginal microbiota (AVM) defined by high quantitative PCR loads of Fannyhessea vaginae and Gardnerella spp. IVF patients were randomised prior to embryo transfer into three parallel groups 1:1:1. Group one (CLLA) received clindamycin 300 mg ×2 daily for 7 days followed by vaginal Lactobacillus crispatus until the day of pregnancy scan, using the investigational drug LACTIN-V. Group two (CLPL) received clindamycin and placebo LACTIN-V, and finally, group three (PLPL) received an identical placebo of both drugs. A total of 1533 patients were screened, and 338 patients were randomised. The clinical pregnancy rate per embryo transfer was 42% (95%CI 32-52%), 46% (95%CI 36-56%) and 45% (95%CI 35-56%) in the CLLA, CLPL, PLPL groups respectively. Thus, treatment of AVM does not improve reproductive outcome. The EudraCT (European Union Drug Regulating Authorities Clinical Trials Database) clinical trial identifier is 2016-002385-31; first registration day 2016-07-11. Health sciences/Medical research/Outcomes research Health sciences/Health care/Therapeutics/Drug therapy/Antimicrobial therapy Figures Figure 1 Introduction A symbiotic relationship exists between reproductive-age women and a “normal” Lactobacillus dominant vaginal microbiota, reducing the acquisition of sexually transmitted infections such as Chlamydia , Herpes, HPV and HIV 1 – 4 . In contrast, the reproductive implications of subclinical non- Lactobacillus dominant vaginal dysbiosis are less clear. A non- Lactobacillus dominant vaginal dysbiosis can be defined either by molecular methods or by microscopy, predominantly dividing vaginal dysbiosis into bacterial vaginosis (BV) and aerobic vaginitis (AV) type 5 . BV-type vaginal dysbiosis is usually dominated by Gardnerella spp. and Fannyhessea vaginae whereas AV-type is dominated by Streptococcus spp. and Enterobacteriacae 5 , 6 . Vaginal dysbiosis is relatively common in the IVF population as seen in a recent systematic review and meta-analysis, including 26 studies, in which the prevalence of vaginal dysbiosis overall was 19% (95%CI 18–20%) 7 . The underlying hypothesis of the present study is that vaginal dysbiotic microbiota ascends to the endometrium, hampering embryo implantation and early pregnancy. As evidence behind this hypothesis, it has been reported that patients with BV have an increased risk of typical BV-type bacteria (e.g. Gardnerella ) in the endometrium 8 . In one study, the odds ratio was 5.7 (95% CI, 1.8–18.3) for endometrial bacterial colonization in women with BV as compared to women without BV 9 . Moreover, in infertile women, there may be a link between the endometrial bacterial composition and chronic endometritis – interestingly including both BV- and AV-type bacteria 10 , 11 . In the IVF population, a recent systematic review and meta-analysis reported a significantly reduced clinical pregnancy rate per embryo transfer in patients with vaginal dysbiosis, RR = 0.82 (95%CI 0.70–0.95, I 2 = 49%) as well as an increased risk of early pregnancy loss (RR 1.49 ;95%CI 1.15–1.94, I 2 = 38%) when compared to IVF patients without vaginal dysbiosis 7 . Moreover, recent studies, exploring endometrial microbiota in IVF patients reported that Lactobacillus dominant – especially Lactobacillus crispatus dominant – endometrial microbiota is associated with the most optimal reproductive outcome 12 , 13 . In contrast, the typical BV- and AV-type bacterial composition of endometrial dysbiosis were associated with poor reproductive outcomes 13 . Finally, in a prospective cohort of women undergoing ultrasound scans during the first trimester, euploid pregnancy loss was associated with a Lactobacillus -depleted vaginal microbiota 14 . In modern IVF, even young women < 35 years cannot be expected to exceed implantation rates of 60–70% following euploid blastocyst transfer 15 . Moreover, it is widely accepted that the remaining approximately 30–40% of implantation failures are a black box which may predominantly be caused by uterine factors. In this aspect, it might be hypothesized that genital tract dysbiosis could contribute to failed embryo implantation and early pregnancy loss. However, the evidence is inconclusive as to whether genital tract dysbiosis is causally involved in infertility. The vaginal dysbiosis primarily investigated herein is termed abnormal vaginal microbiota (AVM) and defined by high quantitative PCR loads of Fannyhessea vaginae and Gardnerella spp. as explained in methods. AVM is a BV-type vaginal dysbiosis with an assumed high risk of endometrial dysbiosis and poor reproductive outcome. Previously we reported on the advantages of a molecular-based diagnosis of vaginal dysbiosis in IVF patients 16 . Herein it was discussed 1) that a more objective diagnosis could be made as microscopists had significant inter-rater variability using Nugent score and 2) a molecular test enabled dichotomisation of the Nugent intermediate group which is difficult to interpret clinically; and 3) the establishment of quantitative thresholds using key vaginal bacteria to detect IVF patients at risk of a poor reproductive outcome due to ascending bacterial infection – ie. the assumption was that the more bacteria in the vagina the more likely they were to ascend to the endometrium. Considering intervention, we decided to use clindamycin as it has been shown previously that Gardnerella isolates from patients with chronic endometritis are highly resistant towards metronidazole and not clindamycin 17 . Apart from standard antibiotic treatment of BV, a so-called live biotherapeutic product containing live L. crispatus CTV-05 (LACTIN-V) has recently been shown to significantly reduce recurrent BV after 12 and 24 weeks posttreatment when used as an add-on to standard antibiotic therapy 18 . However, a potential effect on reproductive outcome of antibiotic treatment and LACTIN-V in IVF patients has not been investigated. Thus, we aimed to investigate whether diagnosis and treatment of a BV-type vaginal dysbiosis prior to embryo transfer would improve reproductive outcomes in IVF patients. Results Patient enrolment Between December 7, 2017, and September 21, 2022, a total of 1533 IVF patients were screened for AVM. Subsequently, a total of 338 patients were randomised. Failure to meet the inclusion criteria was predominantly due to absence of AVM (N = 1003). Despite being positive for AVM, a total of 19 patients declined to participate in the RCT and in addition, 36 patients became spontaneously pregnant before randomisation. For the intention to treat (ITT) analysis, we excluded 3 patients who were withdrawn within 24 hours after randomisation in which we did not record further data in our database. One patient developed appendicitis (took one tablet of clindamycin), another patient did not take any study medication at all as the pills were too big to swallow, and the last patient was randomised despite not being positive for AVM because of a reading error that was discovered early. During the time of the interim analysis, we discovered a laboratory error that resulted in five patients being incorrectly randomised and who underwent full study protocol despite not having AVM at the time of screening. Thus, it was decided to compensate with five additional patients who had the same randomization allocation as the incorrectly diagnosed and randomised patients. Considering modified (m)ITT analysis, we decided not to include the five patients who were incorrectly diagnosed and randomised, but instead included the additional five patients randomised. Moreover, four patients were randomised erroneously as the AVM screening test was more than 90 days old before actual randomisation. Finally, one patient turned out to be pregnant few days after randomisation. Thus, the abovementioned 10 patients who did not meet in/exclusion criteria and additionally 59 patients who did not undergo embryo transfer < 63days from randomisation were not included in the mITT analysis. For the mITT analysis, this resulted in 94 patients allocated to clindamycin and LACTIN-V (CLLA), 88 patients receiving clindamycin and placebo (CLPL), and 84 patents allocated to placebo clindamycin and placebo LACTIN-V (PLPL). A detailed overview can be seen in the Consort flowchart, Fig. 1 . Baseline characteristics In Table 1 the baseline characteristics are shown at the mITT level. There were no statistically significant differences between the three groups in any of the background variables. Most patients (88%) were randomised in a fresh cycle and this study reports no differences between groups considering the number of oocytes retrieved and the availability of a blastocyst for transfer. A total of 14 patients (5%) received antibiotic prophylaxis at the time of oocyte retrieval due to e.g. endometriosis. Notably, prophylactic antibiotic treatment is not a standard to all patients at oocyte retrieval in the participating clinics. Table 1 Background data for all patients analysed per modified intention to treat* Clindamycin/LACTIN-V (N = 94) Clindamycin/Placebo (N = 88) Placebo/Placebo (N = 84) P-value Age 31.5 (4.7) 31.8 (4.5) 31.4 (4.7) 0.88 BMI 24.4 (3.7) 25.3 (4.1) 25.2 (4.6) 0.26 Infertility years 2.2 (1.7) 2.3 (1.6) 2.2 (1.5) 0.99 Primary infertility 61 (65%) 52 (59%) 58 (69%) 0.44 Antibiotics within one month from randomization 0 2 (2%) 1 (1%) 0.41 Tubal factor 7 (7%) 13 (15%) 10 (12%) 0.29 Male factor 38(40%) 45 (51%) 43 (51%) 0.26 Idiopathic 35 (37%) 24 (27%) 22 (26%) 0.20 Anovulation/ovarian 10 (11%) 5 (6%) 5 (6%) 0.36 Endometriosis 2 (2%) 4 (5%) 2 (2%) 0.67 Other 14 (15%) 7 (8%) 11 (13%) 0.33 Non-Caucasian ethnicity 5 (5%) 7 (8%) 5 (6%) 0.82 Vaginal douching 18 (19%) 26 (30%) 17 (20%) 0.20 Smoking prior to IVF 8 (9%) 6 (7%) 3 (4%) 0.36 Randomized in FET cycle 9 (10%) 12 (14%) 11 (13%) 0.69 Follicles at oocyte retrieval 11.0 (6.6) 11.6 (5.3) 10.9 (5.6) 0.75 Oocytes retrieved 9.2 (5.4) 10.1 (4.7) 8.9 (4.7) 0.29 Antibiotics at oocyte retrieval 3 (3%) 4 (5%) 7 (8%) 0.35 FET 25 (27%) 24 (27%) 23 (27%) 1.00 Double embryo transfer 1 (1%) 1 (1%) 3 (4%) 0.45 Blastocyst transfer 81 (86%) 79 (90%) 75 (89%) 0.77 Data are shown as mean (SD) for continuous data and n (%) for categorical data. *All patients with an embryo transfer less than 63 days from the active treatment start to cycle day 1 in the same menstrual cycle that the embryo transfer was performed. BMI = Body mass index FET = Frozen embryo transfer Primary outcome In the primary analysis considering the mITT population, the crude clinical pregnancy rate per embryo transfer was 41% (95%CI 32–53%), 47% (95%CI 37–58%) and 45% (95%CI 36–57%) in the CLLA, CLPL, PLPL groups respectively. Following adjustment for embryo quality and female age the clinical pregnancy rate was 42% (95%CI 32–52%), 46% (95%CI 36–56%) and 45% (95%CI 35–56%) in the CLLA, CLPL, and PLPL groups respectively, Table 2 . The average effect of the two active groups compared to the PLPL group was close to unity, aRR 0.98 (95%CI 0.74–1.29). Both the PP and the ITT analyses were similar to the mITT analysis and did not show any statistically significant differences between the three groups, supplementary Table S1 . Table 2 Crude and adjusted chance/risk of reproductive outcomes based on modified intention to treat criteria* Clindamycin/LACTIN-V (N = 94) Clindamycin/Placebo (N = 88) Placebo/Placebo (N = 84) Both active arms versus Placebo/Placebo** HCG positives 57 (61%) 62% (52–71%) 58 (66%) 65% (56–75%) 50 (60%) 59% (49–69%) aRR 1.07 (0.87–1.32) Clinical pregnancy week 7–9 39 (41%) 42% (32–52%) 41 (47%) 46% (36–56%) 38 (45%) 45% (35–56%) aRR 0.98 (0.74–1.29) Ongoing pregnancy week 10–12 38 (40%) 41% (31–51%) 40 (45%) 45% (35–55%) 37 (44%) 44% (34–54%) aRR 0.97 (0.73–1.29) Early pregnancy loss 19 (33%) 34% (21–46%) 18 (31%) 31% (19–43%) 13 (26%) 26% (14–38%) aRR 1.24 (0.73–2.11) Live birth 37 (39%) 40% (30–50%) 40 (45%) 45% (35–55%) 34 (40%) 40% (30–51%) aRR 1.05 (0.77–1.42) Gemelli 0 0 0 N/A Preterm birth < 37weeks 4 (4%) 2 (2%) 4 (5%) *** Median birth weight (IQR) 3580 grams (2930–3935) 3488 grams (3140–3665) 3813 grams (3220–4035) *** Unless otherwise indicated, top line is the crude number of outcome N (%) and were possible below the adjusted proportion and 95.1% confidence intervals adjusted for female age and embryo quality as based on the statistical model. aRR = adjusted risk ratio. IQR = Interquartile range. *All patients with an embryo transfer less than 63 days from the active treatment start to cycle day 1 in the same menstrual cycle as the embryo transfer **Average effect of the two active arms compared to placebo. ***Not statistically different between groups. Secondary outcomes The secondary outcomes from the mITT analysis can be seen in Table 2 . The adjusted positive hCG rate per embryo transfer was 62% (95%CI 52–71%), 65% (95%CI 56–75%) and 59% (95%CI 49–69%) in the CLLA, CLPL, PLPL group respectively. The adjusted ongoing pregnancy rate was 41% (95%CI 31–51%), 45% (95%CI 35–55%) and 44% (95%CI 34–55%) in the CLLA, CLPL, PLPL group respectively. Finally, the adjusted live birth rate did not differ significantly, 40% (95%CI 30–50%), 45% (95%CI 35–55%) and 40% (95%CI 30–51%) in the CLLA, CLPL, PLPL groups respectively. There were no preterm births prior to week 34 and the number of preterm births prior to week 37 was 4 (4%), 2 (2%) and 4 (5%) in the CLLA, CLPL, PLPL group respectively, P = 0.72. Adverse events The adverse events differed significantly between groups, Table 3 . We report statistically significant increase in diarrhoea and abdominal pain in the two active clindamycin groups compared to the PLPL group, RR 2.92 (95%CI 1.26–6.76) and RR 2.19 (95%CI 1.05–4.58). An increased risk of vaginal candidiasis was close to statistical significance in the two clindamycin groups compared to PLPL. Compared to the two arms receiving placebo LACTIN-V, more patients experienced vaginal itching in the active LACTIN-V arm, RR 4.09 (95%CI 1.26–13.29). Finally, a significant higher proportion of patients suspected that they received active clindamycin in the two active clindamycin groups compared to the PLPL group, RR 1.46 (95%CI 1.09–1.95). There was nearly 100% compliance to study medication. For clindamycin, patients were asked to return the pillbox to the clinic after completion and 232/335 (69%) did whereas the remainder told the clinic that they forgot the pillbox but took all pills. Only 3 patients returned clindamycin pills due to the tablets being too big for them to swallow. Moreover, a total of seven serious adverse events were registered without being suspected as adverse reactions. The list of serious adverse events can be seen in supplementary Table S2 . Table 3 Adverse events reported from randomization day to embryo transfer day for the intention to treat group (N = 335) Clindamycin/LACTIN-V (N = 110) Clindamycin/Placebo (N = 111) Placebo/Placebo (114) P-value Fatigue 12 (11%) 11 (10%) 15 (13%) 0.73 Diarrhoea 12 (11%) 22 (20%) 6 (5%) 0.003 Vaginal discharge 13 (12%) 14 (13%) 22 (19%) 0.24 Vaginal itching 8 (7%) 2 (2%) 2 (3%) 0.05 Vaginal pain 2 (2%) 2 (2%) 2 (2%) 1.00 Vaginal smell 1 (1%) 1 (1%) 1 (1%) 1.00 Vaginal bleeding 0 3 (3%) 0 0.07 Vaginal rash 2 (2%) 1 (1%) 0 0.22 Vaginal candida 4 (4%) 2 (2%) 0 0.07 UTI 0 0 0 N/A Dysuria 2 (2%) 1 (1%) 1 (1%) 0.70 Nausea 8 (7%) 16 (14%) 17 (15%) 0.14 Bloating 23 (21%) 24 (22%) 19 (17%) 0.60 Headache 4 (4%) 6 (5%) 7 (6%) 0.74 Abdominal pain 15 (14%) 19 (17%) 8 (7%) 0.06 Heartburn 1 (1%) 3 (3%) 0 0.13 Urticaria 0 1 (1%) 0 0.66 Do you think you received clindamycin 43 (48%) 57 (67%) 32 (40%) 0.001 Do you think you received LACTIN-V 27 (30%) 32 (38%) 22 (28%) 0.12 Bad experience using LACTIN-V 2 (2%) 2 (2%) 4 (4%) 0.60 Compliance to clindamycin/placebo 109 (99%) 109 (98%) 114 (100%) 0.32 Compliance to LACTIN-V/placebo 107 (97%) 110 (99%) 113 (99%) 0.46 Compliance is here defined as those patients reporting taking all study medicine notwithstanding those patients who took all study medicine but in a wrong way. UTI = Urinary tract infection. Treatment of AVM and posthoc analyses on reproductive outcome As stated in the research protocol 19 , consecutive vaginal samples were taken during the RCT; among them on the day of randomisation and at embryo transfer. In the mITT population, the total number of AVM positives on the randomisation day was 78% (204/261, 95%CI 73–83%). Thus, due to a potential misclassification bias due to randomising AVM negatives, we made a post-hoc sensitivity analysis on the mITT-level for all patients with AVM at the randomisation day. However, we found no significant differences in reproductive outcomes between the randomised groups as based on AVM at randomisation day (Table 4 ) . Moreover, patients without AVM at randomisation day (N = 57) had an overall clinical pregnancy rate non-significantly different when compared to AVM positives, 49% (95%CI 36–62%). The number of patients who were successfully treated for AVM at embryo transfer (AVM at randomisation but not at embryo transfer) was 100% (61/61), 75% (43/57) and 36% (22/61) in the CLLA, CLPL and PLPL groups respectively, P < 0.01. All the above-mentioned treatment success rates were significantly different compared both pairwise within the respective groups to the spontaneous cure rate prior to randomisation as well as significantly different when compared independently between groups. In addition, we report an overall non-significantly increased clinical pregnancy rate in case of AVM at embryo transfer, RR 1.13 (95%CI 0.81–1.56) when compared to patients not having AVM at embryo transfer. This was primarily seen in the PLPL group in which a higher but statistically non-significant clinical pregnancy rate was seen in the AVM positive group when compared to AVM negatives at embryo transfer day, RR 1.63 (95%CI 0.96–2.76). In Table 4 , we also report the reproductive outcome in patients stratified by vaginal community state types (CST) on randomisation day using deferred data analysis from 16s rRNA gene sequencing as described in methods. Within CST IV-A + B (BV-type), CST IV-C (AV-type) and CST I, II, III, V ( Lactobacillus dominant CSTs), we did not see significant effect of either of the three treatment groups, Table 4 . Subsequently we compared the overall CST IV group against the combined group of all Lactobacillus dominant CSTs on the day of randomisation regardless of allocated treatment and by mITT criteria and report a significantly higher clinical pregnancy rate in the Lactobacillus dominant group, RR 1.36 (95%CI 1.00-1.85). For comparison, this was not seen in the comparative Lactobacillus dominant group at embryo transfer in which the clinical pregnancy rate was non-significantly lower compared to patients with CST IV at embryo transfer, RR 0.93 (95%CI 0.71–1.22). Finally, we investigated a potential differential effect between patients randomised in fresh and frozen embryo transfer cycles and observed no statistically significant differences between groups (data not shown). Table 4 Sensitivity analysis showing crude number of reproductive outcomes expressed as N (%;95%CI) in the respective groups under modified intention to treat (mITT) criteria and with deferred vaginal swab diagnosis from the time of randomisation. HCG positives Clinical pregnancy week 7–9 Ongoing pregnancy week 10–12 Early pregnancy loss Live birth AVM positive (CLLA, N = 72) 44 (61%;50–72%) 32 (44%;33–56%) 31 (43%;32–55%) 13 (29%; 16–43%) 30 (42%;30–53%) AVM positive (CLPL, N = 64) 40 (63%;51–74%) 26 (41%;29–53%) 26 (41%;29–53%) 14 (35%; 20–50%) 26 (41%;29–53%) AVM positive (PLPL, N = 68) 41 (60%;49–72%) 31 (46%;34–57%) 31 (46%;34–57%) 10 (24%;11–38%) 30 (44%;32–56%) AVM negative (CLLA, N = 20) 12 (60%;38–82%) 7 (35%;14–56%) 7 (35%;14–56%) 5 (41%) 7 (35%) AVM negative (CLPL, N = 23) 17 (74%;56–92%) 14 (61%;41–81%) 13 (57%;36–77%) 4 (24%) 13 (57%) AVM negative (PLPL, N = 14) 9 (64%;39–89%) 7 (50%;24–76%) 6 (43%;17–69%) 3 (33%) 4 (28%) CST I + II + III + V (CLLA, N = 14) 9 (64%;39–89%) 7 (50%; 24–76%) 7 (50%; 24–76%) 2 (22%) 7 (50%; 24–76%) CST I + II + III + V (CLPL, N = 14) 10 (71%;48–95%) 8 57%; 31–83%) 8 57%; 31–83%) 2 (20%) 8 (57%; 31–83%) CST I + II + III + V (PLPL, N = 14) 11 (79%;57–100%) 9 (64%; 39–89%) 9 (64%; 39–89%) 2 (18%) 7 (50%; 24–76%) CST IV-A + B (CLLA, N = 67) 41 (61%;49–73%) 29 (43%; 31–55%) 28 (42%; 30–54%) 13 (32%; 17–46%) 27 (40%; 29–52%) CST IV-A + B (CLPL, N = 61) 38 (62%;50–75%) 25 (41%;29–53%) 24 (39%; 27–52%) 14 (37%; 21–52%) 24 (39%; 27–52%) CST IV-A + B (PLPL, N = 55) 31 (56%;43–70%) 23 (42%;29–55%) 23 (42%; 29–55%) 8 (26%; 10–41%) 22 (40%; 27–53%) CST IV-C (CLLA, N = 5) 3 (60%) 1 (20%) 1 (20%) 2 (66%) 1 (20%) CST IV-C (CLPL, N = 7) 6 (86%) 5 (71%) 5 (71%) 1 (17%) 5 (71%) CST IV-C (PLPL, N = 8) 7 (88%) 5 (63%) 4 (50%) 3 (43%) 4 (50%) Crude number of N outcome and (%;95%CI) where possible for all patients with a vaginal swab positive for the indexed group at the time of randomisation and according to mITT conditions. CST = Community state type by VALENCIA classification 5 . AVM = abnormal vaginal microbiota by qPCR. For comparisons where N outcome was less than 5, the 95%CI is not shown as data is very sparse and difficult to interpret. Discussion The present drug intervention trial found no evidence of an improved reproductive outcome in the two active treatment groups (CLLA and CLPL), separately or combined when compared to placebo (PLPL) in IVF patients diagnosed with AVM. In contrast, patients reported significantly more adverse events such as abdominal pain, diarrhoea, and vaginal itching in the active treatment groups. Importantly, the reproductive outcome of the three groups was very close to unity despite superior treatment efficacy of AVM in the CLLA and CLPL group compared to the PLPL group. In posthoc analysis, we report similar results for patients having CST IV on randomisation day in whom we observed no significant treatment effect on reproductive outcome when comparing intervention with CLLA and CLPL to PLPL. The result of the present study was unexpected as multiple studies report association between genital tract dysbiosis and reproductive outcome in IVF patients. One of those association studies was from our group in 2016 16 in which a comparable group of IVF patients with untreated AVM had a clinical pregnancy rate per embryo transfer of 9% (2/22) compared to 44% (27/62) in the PLPL group of the present study. In consideration of the small sample size in the initial study, we hypothesized a more conservative effect of intervention in the present study where clinical pregnancy rate per embryo transfer was estimated to 20% in the PLPL group compared to 40% in the CLPL group. However, based on the results of the present study, this hypothesis may now be rejected. Moreover, because we observed superior treatment efficacy of AVM in the CLLA and CLPL groups compared to the PLPL group, the present study questions the biological plausibility that BV-type vaginal dysbiosis (AVM or CST IV-A + B) may negatively affect the reproductive outcome. In addition, intervention with CLLA, CLPL and PLPL did not seem to negatively affect reproductive outcome in neither AVM negative patients nor patients with a Lactobacillus dominant CST. As regards external validity of the initial findings, a systematic review and meta-analysis was recently performed to investigate the overall association between vaginal dysbiosis and reproductive outcomes in IVF patients 7 . The results of the meta-analysis were somewhat conflicting; Although the vaginal dysbiosis group had lower risk of clinical pregnancy per embryo transfer (RR 0.82 ;95%CI 0.70–0.95, 25 studies) as well as an increased risk of early pregnancy loss (RR 1.49 ;95%CI 1.15–1.94, 20 studies) compared to the non-dysbiosis group, the impact on live birth rate of both the overall vaginal dysbiosis group and a sub-stratified BV-type vaginal dysbiosis group was statistically non-significant, RR 0.94 (95%CI 0.76–1.16, 14 studies) and RR 0.96 (95%CI 0.76–1.21, 13 studies). Although this might be due to fewer studies with follow-up at the time of live birth, the true impact of vaginal dysbiosis on reproductive outcome of IVF patients may in any case be smaller than hypothesized in the power calculation of the present study. However, neither in planned nor in posthoc analyses of the present study was it possible to extract any treatment effect on reproductive outcome when comparing the CLLA, CLPL and PLPL groups. In contrast, we report in a posthoc analysis that patients who had a spontaneous occuring Lactobacillus dominant CST at randomisation day seemed to have a better clinical pregnancy rate regardless of the allocated treatment group and interestingly this effect was not seen in the corresponding Lactobacillus dominant group at embryo transfer day which was impacted by the allocated treatment. This might be interpreted as an a priori more optimal reproductive outcome in the patients with a spontaneous occurring Lactobacillus dominant CST and thus an effect independent of treatment. In fact, the findings of the present study are somewhat in line with the recent debate regarding treatment of BV for the prevention of preterm birth in which a significant association between BV and preterm birth was reported by a meta-analysis 20 , but the largest intervention trial 21 did not show any benefit from treatment. Consequently, clinical guidelines 22 , 23 do not recommend treating BV in order to reduce preterm birth. In the present study, we report a significantly higher AVM cure rate of 36% in the PLPL group from the time of randomisation to embryo transfer as compared to the overall spontaneous AVM cure rate of 22% from screening to randomisation. This difference may indicate a positive AVM treatment effect of the LACTIN-V placebo containing mainly maltodextrin (a glucose polymer) which theoretically might have contributed to a higher pregnancy rate in the PLPL group. A study in rhesus macaques indeed showed that a vaginal gel with maltose (a dimer of glucose) significantly increased the abundance of Lactobacillus in the vagina 24 . However, restricting the analysis of the present study to IVF patients who remained AVM positive at embryo transfer and who were given PLPL showed a clinical pregnancy rate of 58% (23/40) as compared to PLPL patients not having AVM at embryo transfer who had a clinical pregnancy rate of 35% (12/34), RR 1.63 (95%CI 0.96–2.76). Results were similar for grouping by CST IV in PLPL patients at embryo transfer day (data not shown). Thus, the potential treatment effect on AVM or CST IV of the PLPL seems independent and not related to the pregnancy outcome. Moreover, if causal inference does exist between AVM/CST IV and poor reproductive outcome it would be expected that the substantial number of AVM/CST IV positives in the PLPL group had a poorer reproductive outcome – which we did not see. As based on the abovementioned lack of biological plausibility of an active effect of PLPL on the reproductive outcome, we do not consider that an active placebo effect has impacted the results of the reproductive outcome, albeit a control group of AVM positives with no intervention would have been optimal. The most recent Cochrane systematic review and meta-analysis on the use of antibiotics prior to embryo transfer published November 2023 reported low certainty according to GRADE, considering all reproductive outcomes including clinical pregnancy rate, odds ratio 1.01 (95%CI 0.67–1.55, 2 RCTs) in the treated group compared to the untreated group 25 . The finding of the present RCT adds certainty to the conclusions published previously, albeit it is important to note that both studies included in the Cochrane review considered IVF patients not targeted for genital tract dysbiosis prior to embryo transfer. To the best of our knowledge, only a few smaller intervention studies have been published in IVF patients diagnosed with vaginal or endometrial dysbiosis, also reporting on reproductive outcomes. Eldivan et al. 26 randomised IVF patients on the first day of ovarian stimulation to screening and subsequent treatment for BV, trichomoniasis, chlamydia and gonorrhoea. The comparator was patients who were randomised to no screening for the abovementioned microorganisms but were treated as standard patients. A total of 17/45 (38%) IVF patients were positive for BV using Nugent’s criteria, and they received treatment with oral metronidazole 500mg two times daily for 7 days before embryo transfer. Despite treatment, only 4/17 (24%) conceived (hCG positive) in the BV-treated group compared to a conception rate of 12/28 (43%) in patients screened negative for BV. In the unscreened group, the conception rate was 14/40 (35%). Although the results were not statistically significant, the study suggested that the poor reproductive outcome in the BV-positive group persisted regardless of metronidazole treatment. The present RCT adds to that explanation as the reproductive outcome of the present study was close to unity in the two active treatment arms compared to PLPL. Thus, treatment of vaginal dysbiosis does not seem to increase reproductive outcome of IVF patients but as previously discussed, an IVF patient with a Lactobacillus dominant CST may rather have an a priori better reproductive outcome by an unknown mechanism. One of the primary strengths of the present study is a rigorous design, monitored according to the ICH-GCP guidelines and with adequate power to investigate the reproductive outcome in an IVF setting. We had relatively broad inclusion criteria, at large mimicking the clinical setting of daily standard IVF patients in which this intervention was intended. This RCT intended to investigate screening and treating vaginal dysbiosis as an add-on to standard clinical practice as we hypothesized that this might have been a future strategy for all IVF patients regardless of infertility diagnosis. Now, after study completion and our results showing no difference, it can be discussed whether a more targeted approach in certain patient groups would yield different results. As an example, we included patients in both fresh and frozen embryo transfer cycles as we considered treatment prior to embryo transfer to be the primary objective and, thus, disregarded any differential effect that these two IVF treatments (fresh/frozen cycle) might have on the vaginal microbiota and the reproductive outcome. Randomising in frozen embryo transfer cycles only would eliminate the potential bias from randomisation before oocyte retrieval, as patients in a fresh cycle may not have embryo transfer within the study intervention period. However, in the present study, we did not see any statistical difference in primary outcome across the randomised groups when comparing fresh and frozen embryo transfer cycles, (data not shown). One of the important limitations of the present study is the spontaneous AVM cure rate of 22% from screening to randomisation. Based on recent evidence regarding temporal dynamics of the vaginal microbiota 27 , this spontaneous cure rate is probably what might be expected. Nevertheless, sensitivity analysis of AVM or CST IV positive patients from the vaginal swabs taken on the day of randomisation did not yield different results, Table 4 . AVM diagnosis was used in the present study as this study was designed in 2016 where 16S rRNA gene sequencing was not as available as today and because the turn-around time would not allow timely intervention. Moreover, we considered the importance of targeting total abundance of BV bacteria and not the relative abundance as in 16S rRNA gene sequencing. We consider AVM a BV-type vaginal dysbiosis based on previous findings of high sensitivity and specificity towards Nugent score BV 16 and CST IV 28 , however small differences exist and strictly speaking we only investigated AVM in the present study. Finally, the assumption that vaginal dysbiosis can be used as a proxy of the endometrial dysbiosis might be challenged and, thus, we cannot exclude that a specific screening and treatment for endometrial dysbiosis would yield different results. In conclusion, the results of this RCT does not support treatment of AVM or CST IV in IVF patients with clindamycin alone or in combination with LACTIN-V prior to embryo transfer in order to improve reproductive outcomes. Thus, screening the general IVF population for BV-type vaginal dysbiosis does not seem to be useful in a clinical setting. Moreover, the present RCT challenges the hypothesis that a BV-type vaginal dysbiosis might be causally linked to reproductive outcome as successful treatment of AVM and CST IV seemed independent and not related to reproductive success. Declarations Acknowledgements We are grateful to the patients participating in this study as well as the many health/research professionals helping this trial to be completed. Research nurses at the respective clinics as well as laboratory technicians at Statens Serum institute should be commended for their work. We acknowledge Osel Inc. and Tom Parks especially for the collaboration on this project. In addition to the unrestricted research grant from Osel, Inc. previously mentioned, other granters were Axel Muusfeldts Foundation grant number 2018-1311, A.P. Møller Foundation for Medical Research grant number 18-L-0173, Central Denmark Region Hospital MIDT Foundation grant number 421506 and a PhD scholarship from Aarhus University, Denmark to TH. Author contributions TH wrote the first draft and made statistical analysis. NlCF was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. AP was part of patient recruitment, project administration, results interpretation and review and editing. MBJ was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. HOE was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. BA was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. RL was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. LP was part of patient recruitment, project administration, results interpretation and review and editing. HSN was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. VH was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. TRP was part of project administration, data curation and review and editing. ASH was part of literature search and review and editing. JSJ was part of conceptualisation, methodology, supervision, project administration, data curation, funding acquisition, results interpretation and review and editing. PH was part of conceptualisation, methodology, supervision, project administration, data curation, funding acquisition, results interpretation and review and editing. All authors had access to the study data and had final responsibility for the decision to submit for publication. PH and TH directly accessed and verified the underlying data reported in the manuscript. Competing interests statement JSJ, PH and TH are listed as inventors in an international patent application (PCT/US2018/040882), involving the therapeutic use of vaginal lactobacilli to improve IVF outcomes. TH received honoraria for lectures from Gedeon Richter. PH received unrestricted research grants outside this study from Merck, IBSA and Gedeon Richter as well as honoraria for lectures from MSD, Merck, Gedeon-Richter, and Theramex. JSJ received grants, speaker’s fee, and non-financial support from Hologic, speaker’s fees from LeoPharma and grants from Nabriva, all outside the submitted work and serves on the scientific advisory board of Roche Molecular Systems, Abbott Molecular and Cepheid. NLCF received unrestricted research grant from Gedeon Richter and honoraria for lectures from Merck. HSN received through her institution research grant from Ferring and Freya Biosciences and honoraria for lectures from Merck, IBSA, Gedeon Richter, Novo Nordisk, Cook medical and Ferring. References Wiesenfeld HC et al (2002) Lower genital tract infection and endometritis: insight into subclinical pelvic inflammatory disease. Obstet Gynecol 100:456–463 Martin HL et al (1999) Vaginal lactobacilli, microbial flora, and risk of human immunodeficiency virus type 1 and sexually transmitted disease acquisition. J Infect Dis 180:1863–1868 Cherpes TL, Meyn LA, Krohn MA, Lurie JG, Hillier SL (2003) Association between acquisition of herpes simplex virus type 2 in women and bacterial vaginosis. Clin Infect Dis 37:319–325 Fu J, Zhang H (2023) Meta-analysis of the correlation between vaginal microenvironment and HPV infection. Am J Transl Res 15:630–640 France MT et al (2020) VALENCIA: a nearest centroid classification method for vaginal microbial communities based on composition. Microbiome 8:166 Oerlemans EFM et al (2020) The Dwindling Microbiota of Aerobic Vaginitis, an Inflammatory State Enriched in Pathobionts with Limited TLR Stimulation. Diagnostics (Basel) 10 Maksimovic Celicanin M, Haahr T, Humaidan P, Skafte-Holm A (2024) Vaginal dysbiosis - the association with reproductive outcomes in IVF patients: a systematic review and meta-analysis. Curr Opin Obstet Gynecol. 10.1097/GCO.0000000000000953 Mitchell CM et al (2015) Colonization of the upper genital tract by vaginal bacterial species in nonpregnant women. American Journal of Obstetrics and Gynecology 212, 611.e1-611.e9 Swidsinski A et al (2013) Presence of a polymicrobial endometrial biofilm in patients with bacterial vaginosis. PLoS ONE 8:e53997 Liu Y et al (2019) Endometrial microbiota in infertile women with and without chronic endometritis as diagnosed using a quantitative and reference range-based method. Fertil Steril. 10.1016/j.fertnstert.2019.05.015 Moreno I et al (2018) The diagnosis of chronic endometritis in infertile asymptomatic women: a comparative study of histology, microbial cultures, hysteroscopy, and molecular microbiology. American Journal of Obstetrics & Gynecology 218, 602.e1-602.e16 Bui BN et al (2023) The endometrial microbiota of women with or without a live birth within 12 months after a first failed IVF/ICSI cycle. Sci Rep 13:3444 Moreno I et al (2022) Endometrial microbiota composition is associated with reproductive outcome in infertile patients. Microbiome 10:1 Grewal K et al (2022) Chromosomally normal miscarriage is associated with vaginal dysbiosis and local inflammation. BMC Med 20:38 Vitagliano A, Paffoni A, Viganò P (2023) Does maternal age affect Assisted Reproduction Technology success rates after euploid embryo transfer? A systematic review and meta-analysis. Fertil Steril S0015–0282(23):00169–00163. 10.1016/j.fertnstert.2023.02.036 Haahr T et al (2016) Abnormal vaginal microbiota may be associated with poor reproductive outcomes: a prospective study in IVF patients. Hum Reprod 31:795–803 Petrina MAB, Cosentino LA, Wiesenfeld HC, Darville T, Hillier SL (2019) Susceptibility of endometrial isolates recovered from women with clinical pelvic inflammatory disease or histological endometritis to antimicrobial agents. Anaerobe 56:61–65 Cohen CR et al (2020) Randomized Trial of Lactin-V to Prevent Recurrence of Bacterial Vaginosis. N Engl J Med 382:1906–1915 Haahr T et al (2020) Effect of clindamycin and a live biotherapeutic on the reproductive outcomes of IVF patients with abnormal vaginal microbiota: protocol for a double-blind, placebo-controlled multicentre trial. BMJ Open 10:e035866 Leitich H, Kiss H (2007) Asymptomatic bacterial vaginosis and intermediate flora as risk factors for adverse pregnancy outcome. Best Pract Res Clin Obstet Gynecol 21:375–390 Subtil D et al (2018) Early clindamycin for bacterial vaginosis in pregnancy (PREMEVA): a multicentre, double-blind, randomised controlled trial. Lancet 392:2171–2179 Haahr T et al (2016) Treatment of bacterial vaginosis in pregnancy in order to reduce the risk of spontaneous preterm delivery - a clinical recommendation. Acta Obstet Gynecol Scand. 10.1111/aogs.12933 US Preventive Services Task Force (2020) Screening for Bacterial Vaginosis in Pregnant Persons to Prevent Preterm Delivery: US Preventive Services Task Force Recommendation Statement. JAMA 323:1286–1292 Zhang Q-Q et al (2020) Prebiotic Maltose Gel Can Promote the Vaginal Microbiota From BV-Related Bacteria Dominant to Lactobacillus in Rhesus Macaque. Front Microbiol 11:594065 Ameratunga D, Yazdani A, Kroon B (2023) Antibiotics prior to or at the time of embryo transfer in ART. Cochrane Database Syst Reviews. 10.1002/14651858.CD008995.pub3 Eldivan Ö et al (2016) Does screening for vaginal infection have an impact on pregnancy rates in intracytoplasmic sperm injection cycles? Turk J Obstet Gynecol 13:11–15 Defining Vaginal Community Dynamics (2023) : daily microbiome transitions, the role of menstruation, bacteriophages and bacterial genes. https://www.researchsquare.com 10.21203/rs.3.rs-3028342/v1 Haahr T et al (2018) Vaginal microbiota and IVF outcomes: development of a simple diagnostic tool to predict patients at risk of a poor reproductive outcome. J Infect Dis. 10.1093/infdis/jiy744 Srinivasan S et al (2010) Temporal Variability of Human Vaginal Bacteria and Relationship with Bacterial Vaginosis. PLoS ONE 5:e10197 Forney LJ et al (2010) Comparison of self-collected and physician-collected vaginal swabs for microbiome analysis. J Clin Microbiol 48:1741–1748 Wittes J (2002) Sample size calculations for randomized controlled trials. Epidemiol Rev 24:39–53 Jensen JS, Björnelius E, Dohn B, Lidbrink P (2004) Use of TaqMan 5’ nuclease real-time PCR for quantitative detection of Mycoplasma genitalium DNA in males with and without urethritis who were attendees at a sexually transmitted disease clinic. J Clin Microbiol 42:683–692 Datcu R et al (2013) Vaginal microbiome in women from Greenland assessed by microscopy and quantitative PCR. BMC Infect Dis 13(2334–):480 Golob JL et al (2017) Stool Microbiota at Neutrophil Recovery Is Predictive for Severe Acute Graft vs Host Disease After Hematopoietic Cell Transplantation. Clin Infect Diseases: Official Publication Infect Dis Soc Am 65:1984–1991 Martin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J 17:10–12 Callahan BJ et al (2016) DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods 13:581–583 Harris PA et al (2009) Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inf 42:377–381 Online methods Study design The present randomised, double-blind, parallel-group, placebo-controlled trial (RCT) was conducted at three University-affiliated fertility clinics and one private fertility clinic in Denmark. The EudraCT clinical trial identifier is 2016-002385-31; first registration day 2016-07-11. The current version of the protocol is 11, 2021-04-29. The trial protocol was published in 2020 19 . The primary centre from which the ethical approval was accepted was Skive Regional Hospital. Patients Inclusion criteria were, female aged 18-42 years old, BMI <35, negative chlamydia/gonorrhoea test within 6 months of IVF treatment, normal cervical smear within 3 years of IVF treatment, written informed consent, and abnormal vaginal microbiota (AVM), according to criteria stated below with the vaginal swab being obtained less than 90 days before the randomisation day. Exclusion criteria were Hepatitis/HIV positivity, intrauterine malformations and severe concomitant disease, including inflammatory bowel disease. Patients were not allowed to take vaginal probiotics, neuromuscular blocking drugs, immunosuppressive medication, or investigational drug preparations other than the study product. Each patient could only participate once. Patients were approached when attending their first, second or third IVF stimulation cycle or frozen embryo transfer (FET) therefrom. If eligible, a vaginal swab was collected by the treating physician (N=1238) or the patient herself (N=273) using the ESwab™ system (Copan, Brescia, Italy). Previous studies found that self-collection of vaginal swabs is as valid as physician obtained swabs both considering qPCR of e.g. Gardnerella 29 and sequencing 30 . The ESwab™ was subsequently shipped for central testing at Statens Serum Institut, Copenhagen where it was analysed for AVM according to criteria stated below and as previously reported 16 . AVM is a qPCR-based diagnosis of a BV-type vaginal dysbiosis, targeting a high absolute abundance of Gardnerella spp. and Fannyhessea vaginae with 93% sensitivity and 93% specificity compared to BV diagnosed by Nugent score (Gold standard) 16 . Patients were randomised on the first day of ovarian stimulation or during the first days of elective FET allowing for at least 12 days of study medication. Randomisation, masking and intervention The present RCT randomised three parallel groups 1:1:1. The first active treatment arm (CLLA) consisted of oral clindamycin 300 mg two times daily for 7 days followed by vaginal LACTIN-V (Osel Inc.). LACTIN-V is an investigational drug that contains L. crispatus CTV-05 (2×10 9 CFU/dose, 200 mg, delivered with pre-filled, single-use vaginal applicators) which was applied vaginally once daily after the last day of clindamycin treatment for a total of 7 consecutive days; thereafter twice weekly up to a total usage of 21 applicators or until completion of the clinical pregnancy scan at week 7–9. The second active treatment arm (CLPL) consisted of oral clindamycin 300 mg, twice daily for 7 days followed by a LACTIN-V placebo as in the regimen described above. Finally, the inactive treatment arm (PLPL) consisted of an identically appearing clindamycin placebo and a LACTIN-V placebo. Placebo clindamycin consisted of encapsulated mannitol. The placebo LACTIN-V formulation contained the same ingredients as LACTIN-V, without L. crispatus CTV-05. Randomisation code and allocation concealment was performed by the pharmacy providing the study medication, using a computer-generated code. The identical medication packs were labelled with the randomisation number and received at the IVF centres from the pharmacy in blocks of 15, five of each of the three treatments, to secure equal distribution of treatment arms at the centres. The randomisation number was continuous and unique for each patient, and it was prelabelled from the pharmacy before distribution to the clinics; thus, both patients and study personnel were blinded to the intervention. The pharmacy did not play any role in or had knowledge about the IVF treatment. The first person to investigate the unblinded dataset was an external statistician at Aarhus University, Denmark who analysed the reproductive outcome. After that, data was unblinded for the principal investigators. Outcomes The primary outcome was clinical pregnancy rate, defined as an ultrasound proven intrauterine fetal heartbeat at gestational week 7–9. Secondary outcomes were live birth rate, biochemical pregnancy rate (hCG positive 9–11 days after embryo transfer according to local laboratory standards), implantation rate, pregnancy loss, preterm birth rate, birth weight and adverse events. Considering adverse events, we recorded all adverse events reported to the clinics from the day of randomisation to the day of embryo transfer, including an adverse event questionnaire on the day of embryo transfer. Patients without embryo transfer were approached to also fill in the questionnaire. Compliance to medication was defined as those patients reporting to take all study medicine notwithstanding those patients who took all study medicine, but inadvertently in a wrong way. Outcomes were analysed by intention to treat (ITT), modified intention to treat (mITT) and per protocol (PP). ITT included all randomised patients except those withdrawn from the study within 24 hours from randomisation. For the mITT analysis, additionally, patients needed to fulfil in/exclusion criteria and to have embryo transfer less than 63 days from the active treatment start to cycle day 1 in the same menstrual cycle in which the embryo transfer was performed. For the PP analysis, additionally, all patients should adhere strictly to the protocol. Two authors (TH and MBJ) stratified patients for the mITT and PP analysis independently prior to breaking the randomization code. Sample size We estimated a 40% chance for clinical pregnancy per embryo transfer in the active treatment arm as compared to the placebo arm which was estimated to have a maximum of 20% chance of clinical pregnancy/transfer based on a previous study 16 . By a two-sample proportion test with a power of 80% and an alpha at 5%, the aim was to randomise 92 patients in each group. A potential difference between the two active arms was considered exploratory and consequently, this was not part of the power calculation, but we decided to include the same number of patients in the CLLA arm to investigate a potential added benefit of LACTIN-V. An interim analysis was performed, and to adjust for this, we added 10% more patients to the 92 randomised patients as suggested in Wittes et al. 31 . We estimated that 10% of couples would have no embryos for transfer after randomisation in fresh cycles, and we adjusted for this by adding another 10% to each randomised group, that is, 92+19=111. Interim analysis was pre-planned and conducted at the time 167 patients were randomised. At this point and under the conditions described previously 19 , the study board decided to continue the trial on March 12 th , 2020. Statistics For each treatment group CLLA, CLPL and PLPL the estimated proportions, risk ratios (RR) and their confidence intervals were calculated using uni- and multivariate logistic regression analyses by generalized linear models with log-link function. The significance level for the final analysis was set at 4.9% (95.1% confidence intervals) due to the preplanned interim analysis where an alpha of 0.1% was used. The outcomes were analysed with and without adjusting for the following confounders: quality of the embryo (blastocyst/cleavage state –preimplantation genetic testing for aneuploidy (PGT-A) was not performed in this study) and female age (continuous variable) which are well-described parameters affecting pregnancy rates. It was also pre-planned to adjust for double embryo transfer and for private/public clinics, however, only five patients received double embryo transfer without achieving clinical pregnancy. Furthermore only 10 patients were included from the one participating private IVF clinic of whom only one patient had a clinical pregnancy. These numbers were not sufficient to adjust for double embryo transfer and private/public centre in the statistical model. We pre-planned to adjust for the abovementioned confounders since the primary analysis (mITT) was not performed per randomised patient but per transferred patient. The linear relation between the log of odds and age was evaluated using splines. To examine the sensitivity of the estimates, all the outcomes were further analysed under PP and ITT conditions. In Tables 1 and 3 , we used Fisher’s exact test for binary variables, whereas the ANOVA was used for the continuous variables. We decided to provide a statistical test in Table 1 because all patients randomised did not necessarily have an embryo transfer and as such were not eligible for mITT analysis. Safety analysis ( Table 3 ) was done per ITT. All these analyses were performed in STATA version 18 (StataCorp LLC). Laboratory methods After arrival of the vaginal eSwab specimen at the central laboratory at Statens Serum Institute (SSI), DNA from 100 µL of the vaginal screening sample was released boiling in 300 µL Chelex resin slurry as previously described 32 . Quantitative (q)PCRs detecting Gardnerella spp. (previously described as G. vaginalis ) and Fannyhessea (F.) vaginae (previously Atopobium vaginae ) were performed as previously described 33 . A vaginal sample was considered positive if having more than 5.7 × 10 7 and/or 5.7 × 10 6 copies/ml for Gardnerella spp. and F. vaginae, respectively. DNA extraction of vaginal samples was performed on a MagNAPure instrument (Roche Molecular Systems Inc., Pleasanton, CA, USA), using off-board enzymatic lysis by mixing 100 µL of sample with 150 µL MagNAPure bacterial lysis buffer with final concentrations of lysozyme (20mg/mL), mutanolysin (250U/mL) and lysostaphin (22U/mL) (Merck Life Sciences, Søborg, Denmark) for 60 minutes at 37°C. A total of 200µl was extracted, using the Pathogen Universal 200 MagNA Pure protocol and eluted in 100µl. The quality of the DNA extraction process was documented by simultaneous extraction of a vaginal mock community (ATCC® MSA-2007™, LGC Standards, Teddington, UK). After dissolving the bacteria according to the manufacturer’s instructions, the pellet of the vaginal mock community was re-suspended in 1 mL PBS and 10 µL 100µL ESwab® (Copan) transport medium. Negative controls for H 2 O were analysed on the same plates as the samples. Primers for 16S qPCR and amplification for 16S Illumina sequencing were the same as used by Fredricks et al . (Table S3) and have previously been published 34 . For the sequencing, adapters and spacers added to the primer sequences, see Table S4. Amplification of the 16S Illumina sequencing, Kapa HiFi HotStart polymerase ready mix (Sigma-Aldrich) was used with the primer sequences described above, but with adaptors with heterogeneity spacers for MiSeq indexing and sequencing as described in Table S4. The indexing PCR was carried out using 2x KAPA HiFi, Nextera XT DNA Library Prep Kit v2 for indexing (384 combinations) (Illumina) and with 2 μL amplicon from the amplification PCR in a final volume of 25 μL on a 2720 Thermal Cycler using the following conditions: 3 min at 95 °C, 15 cycles of 20s at 98 °C, 15 s at 55 °C and 45 s at 72 °C, and final 5 min elongation step at 72 °C. After indexing, post-PCR cleanup was performed using a 1:1 ratio of AMPure XP beads (Beckman Coulter) following manufacturer’s instructions before quantification using AccuClear Ultra High Sensitivity dsDNA Quantification Kit (Biotium) following manufacturer’s instructions. Subsequently, samples were pooled in equimolar concentrations and quantified using the Qubit dsDNA HS assay kit (Thermo Fisher Scientific) prior to sequencing on a MiSeq with a 600-cycle MiSeq Reagent Kit v3 (Illumina) and a pool of libraries loaded at 10 pM final concentrations. Bioinformatics pipeline The amplicon samples were multiplexed on multiple sequencing run (with 20% phiX spike in). Nextera XT barcode incorporation and sequencing using the Illumina MiSeq platform (Illumina, Inc., San Diego, United States), with 300 bp paired-end reads, this was performed according to the manufacturer’s directions. Raw reads were demultiplexed using bcl2fastq (RRID:SCR_015058). Primers and heterogeneity spacers were trimmed using cutadapt (v. 2.3) in paired-end mode at an 8% error rate 35 . Subsequent sequence analysis was performed in Rstudio (v. 2022.07.0; R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.) with R version 4.2.1. Decontamination was done using the Decontam package (v. 1.18.0) using method “either” with frequency threshold = 0.1 and prevalence threshold = 0.5. Amplicon Sequence Variants were called using the dada2 pipeline (v. 1.26.0) using the function "filterAndTrim" with following parameters: truncLen = (270, 210), maxEE = 2, truncQ = 2, maxN = 0 36 . Community state types were subsequently computed according to the publication by France et al 5 . Role of the funding source PH, TH and JSJ received—through their institutions—an unrestricted research grant from Osel, Inc., which produces LACTIN-V. A clinical trial agreement was made ensuring full data ownership and publication rights to PH. Osel Inc. had inputs to study design but no role in data collection, data analysis, data interpretation, or writing of the present manuscript. Data handling Study data was collected and managed, using REDCap electronic data capture tools 37 hosted at Aarhus University and monitored by the University affiliated ICH-GCP unit. The randomization code was broken April 21, 2023, when the primary outcome was monitored, and patients had been stratified to ITT, mITT or PP analysis. Data availability statement In 2028, five years after study completion we are obliged to deliver the deidentified clinical trial data to the Danish National Archives upon which the data is accessible for all interested parties. The metadata and statistical analysis-log can be made available to reviewers upon submission. Researchers interested in the individual participant data prior to 2028 may contact the first author to access the data under a data sharing agreement as decided by the Danish Data Protection Agency. The full study protocol with statistical analysis plan is uploaded with this manuscript, albeit it has to a great extent already been published 19 . Sequencing data will be uploaded to a relevant data repository with accession codes given when this manuscript has been accepted for publication. Methods-only references 28. Wittes, J. Sample size calculations for randomized controlled trials. Epidemiol Rev 24 , 39–53 (2002). 29. Jensen, J. S., Björnelius, E., Dohn, B. & Lidbrink, P. Use of TaqMan 5’ nuclease real-time PCR for quantitative detection of Mycoplasma genitalium DNA in males with and without urethritis who were attendees at a sexually transmitted disease clinic. J Clin Microbiol 42 , 683–692 (2004). 30. Datcu, R. et al. Vaginal microbiome in women from Greenland assessed by microscopy and quantitative PCR. BMC infectious diseases 13 , 480-2334-13–480 (2013). 31. Golob, J. L. et al. Stool Microbiota at Neutrophil Recovery Is Predictive for Severe Acute Graft vs Host Disease After Hematopoietic Cell Transplantation. Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America 65 , 1984–1991 (2017). 32. Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet.journal 17 , 10–12 (2011). 33. Callahan, B. J. et al. DADA2: High-resolution sample inference from Illumina amplicon data. Nat. Methods 13 , 581–583 (2016). 34. Harris, P. A. et al. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 42 , 377–381 (2009) Additional Declarations Yes there is potential Competing Interest. JSJ, PH and TH are listed as inventors in an international patent application (PCT/US2018/040882), involving the therapeutic use of vaginal lactobacilli to improve IVF outcomes. TH received honoraria for lectures from Gedeon Richter. PH received unrestricted research grants outside this study from Merck, IBSA and Gedeon Richter as well as honoraria for lectures from MSD, Merck, Gedeon-Richter, and Theramex. JSJ received grants, speaker’s fee, and non-financial support from Hologic, speaker’s fees from LeoPharma and grants from Nabriva, all outside the submitted work and serves on the scientific advisory board of Roche Molecular Systems, Abbott Molecular and Cepheid. NLCF received unrestricted research grant from Gedeon Richter and honoraria for lectures from Merck. HSN received through her institution research grant from Ferring and Freya Biosciences and honoraria for lectures from Merck, IBSA, Gedeon Richter, Novo Nordisk, Cook medical and Ferring. Supplementary Files nreditorialpolicychecklist.pdf nrreportingsummary.pdf 29042021protokolbeskrivelseversion11.pdf Supplementum.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4271948","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":359712124,"identity":"0672245d-cbb5-41ac-857b-42c98daaf095","order_by":0,"name":"Thor Haahr","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAkklEQVRIiWNgGAWjYDACCQY2IGkDYhoTp4MHoiWNdC2HSdBiL9187MGPmvP5ug3Mmw2Is0XmWLphz7HbltsOsBUnEOmwHDMJHrbbBmYHeIwPEK1F8s+/cyRqkeZtOwDWQqTDbqSlScv2JRuYHWYrJs777DOSj0m++WZnYHa8ebMEUVoQgJlE9aNgFIyCUTAK8AAAznIoU95/ZmYAAAAASUVORK5CYII=","orcid":"https://orcid.org/0000-0001-9304-5299","institution":"Aarhus University","correspondingAuthor":true,"prefix":"","firstName":"Thor","middleName":"","lastName":"Haahr","suffix":""},{"id":359712125,"identity":"4fb40bc2-bd6e-46b1-a9dd-20ef0b2e6e25","order_by":1,"name":"Nina Freiesleben","email":"","orcid":"","institution":"University Hospital Copenhagen Hvidovre","correspondingAuthor":false,"prefix":"","firstName":"Nina","middleName":"","lastName":"Freiesleben","suffix":""},{"id":359712126,"identity":"1fc02430-b510-4789-9d2e-d54724d09aa5","order_by":2,"name":"Mette Jensen","email":"","orcid":"","institution":"Fertility clinic Skive","correspondingAuthor":false,"prefix":"","firstName":"Mette","middleName":"","lastName":"Jensen","suffix":""},{"id":359712127,"identity":"314b5933-8052-4177-9c80-1c07393b7f73","order_by":3,"name":"Helle Elbaek","email":"","orcid":"","institution":"Fertility clinic Skive","correspondingAuthor":false,"prefix":"","firstName":"Helle","middleName":"","lastName":"Elbaek","suffix":""},{"id":359712128,"identity":"2df3b821-6493-45f6-84c6-6e3c96e8adf6","order_by":4,"name":"Birgit Alsbjerg","email":"","orcid":"","institution":"Fertility clinic Skive","correspondingAuthor":false,"prefix":"","firstName":"Birgit","middleName":"","lastName":"Alsbjerg","suffix":""},{"id":359712129,"identity":"e6caa241-fd42-4edd-b22a-097952017b56","order_by":5,"name":"Rita Laursen","email":"","orcid":"","institution":"Fertiility cliniic Skive","correspondingAuthor":false,"prefix":"","firstName":"Rita","middleName":"","lastName":"Laursen","suffix":""},{"id":359712130,"identity":"ed79d45c-9d70-46be-b360-eea5d20609be","order_by":6,"name":"Lisbeth Praetorius","email":"","orcid":"","institution":"Hvidovre Hospital","correspondingAuthor":false,"prefix":"","firstName":"Lisbeth","middleName":"","lastName":"Praetorius","suffix":""},{"id":359712131,"identity":"eac09178-8fcc-4bb7-8a45-ff04950ee092","order_by":7,"name":"Henriette Nielsen","email":"","orcid":"https://orcid.org/0000-0003-2106-8103","institution":"Copenhagen University Hospital, Hvidovre, Denmark","correspondingAuthor":false,"prefix":"","firstName":"Henriette","middleName":"","lastName":"Nielsen","suffix":""},{"id":359712132,"identity":"2218ea32-2934-4d1d-b2cd-1751efb11f73","order_by":8,"name":"Anja Pinborg","email":"","orcid":"","institution":"The Fertility Clinic, Copenhagen University Hospital, Rigshospitalet","correspondingAuthor":false,"prefix":"","firstName":"Anja","middleName":"","lastName":"Pinborg","suffix":""},{"id":359712133,"identity":"99833965-7ed6-40a3-89fb-2d342fc5d1e6","order_by":9,"name":"Vibeke Hartvig","email":"","orcid":"","institution":"Stork","correspondingAuthor":false,"prefix":"","firstName":"Vibeke","middleName":"","lastName":"Hartvig","suffix":""},{"id":359712134,"identity":"0640b65a-3dc4-4d5d-a4c3-f1369f4e70ff","order_by":10,"name":"Thomas Pedersen","email":"","orcid":"","institution":"Statens Serum Institut","correspondingAuthor":false,"prefix":"","firstName":"Thomas","middleName":"","lastName":"Pedersen","suffix":""},{"id":359712135,"identity":"47c8603e-4d48-49f7-94b4-9889ea62f584","order_by":11,"name":"Axel Skafte-Holm","email":"","orcid":"https://orcid.org/0000-0001-6759-2758","institution":"Statens Serum Institut","correspondingAuthor":false,"prefix":"","firstName":"Axel","middleName":"","lastName":"Skafte-Holm","suffix":""},{"id":359712136,"identity":"7b7d1609-2e45-4b4f-89c0-d0be410d3218","order_by":12,"name":"Jørgen Jensen","email":"","orcid":"","institution":"Statens Serum Institut","correspondingAuthor":false,"prefix":"","firstName":"Jørgen","middleName":"","lastName":"Jensen","suffix":""},{"id":359712137,"identity":"61465c03-4e3e-4232-a19d-42603be9122d","order_by":13,"name":"Peter Humaidan","email":"","orcid":"","institution":"The Fertility Clinic Skive","correspondingAuthor":false,"prefix":"","firstName":"Peter","middleName":"","lastName":"Humaidan","suffix":""}],"badges":[],"createdAt":"2024-04-15 21:40:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4271948/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4271948/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":65783090,"identity":"77fa5ae9-7872-4e0e-b284-c033ed3d4f14","added_by":"auto","created_at":"2024-10-02 15:25:23","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":673796,"visible":true,"origin":"","legend":"\u003cp\u003eConsort flowchart\u003c/p\u003e","description":"","filename":"floatimage1.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-4271948/v1/e5bab2d4766ffe580f4b9751.jpeg"},{"id":82239326,"identity":"fe63d0d0-e6bb-4525-88ce-55bed4911bd7","added_by":"auto","created_at":"2025-05-08 07:43:23","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1828810,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4271948/v1/ca4e1e8c-2436-4e1e-8744-45a5f76cbfac.pdf"},{"id":65783486,"identity":"f489629e-ed5d-41ca-8f8d-ca768e44ee12","added_by":"auto","created_at":"2024-10-02 15:33:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":1682897,"visible":true,"origin":"","legend":"","description":"","filename":"nreditorialpolicychecklist.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4271948/v1/02ee3b1c34568d4fecca9a42.pdf"},{"id":65783087,"identity":"7d6b36ef-ff16-4818-b21d-7eeaa9efbaf3","added_by":"auto","created_at":"2024-10-02 15:25:23","extension":"pdf","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":1651079,"visible":true,"origin":"","legend":"","description":"","filename":"nrreportingsummary.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4271948/v1/47cfe70cb87fcb28e0340c17.pdf"},{"id":65783091,"identity":"bedef966-6026-4944-843f-2dcc46121ad9","added_by":"auto","created_at":"2024-10-02 15:25:23","extension":"pdf","order_by":8,"title":"","display":"","copyAsset":false,"role":"supplement","size":1564651,"visible":true,"origin":"","legend":"","description":"","filename":"29042021protokolbeskrivelseversion11.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4271948/v1/bd19d3f52ca754f8d2841001.pdf"},{"id":65783086,"identity":"d0cf4f3f-9e8e-40ae-9a8e-f5c09ae15c0f","added_by":"auto","created_at":"2024-10-02 15:25:23","extension":"docx","order_by":9,"title":"","display":"","copyAsset":false,"role":"supplement","size":21946,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementum.docx","url":"https://assets-eu.researchsquare.com/files/rs-4271948/v1/637a6ca660a86f13cd863af8.docx"}],"financialInterests":"\u003cb\u003eYes\u003c/b\u003e there is potential Competing Interest.\nJSJ, PH and TH are listed as inventors in an international patent application (PCT/US2018/040882), involving the therapeutic use of vaginal lactobacilli to improve IVF outcomes. TH received honoraria for lectures from Gedeon Richter. PH received unrestricted research grants outside this study from Merck, IBSA and Gedeon Richter as well as honoraria for lectures from MSD, Merck, Gedeon-Richter, and Theramex. JSJ received grants, speaker’s fee, and non-financial support from Hologic, speaker’s fees from LeoPharma and grants from Nabriva, all outside the submitted work and serves on the scientific advisory board of Roche Molecular Systems, Abbott Molecular and Cepheid. NLCF received unrestricted research grant from Gedeon Richter and honoraria for lectures from Merck. HSN received through her institution research grant from Ferring and Freya Biosciences and honoraria for lectures from Merck, IBSA, Gedeon Richter, Novo Nordisk, Cook medical and Ferring.","formattedTitle":"Does intervention with clindamycin and a live biotherapeutic drug containing Lactobacillus crispatus impact the reproductive outcome of IVF patients with abnormal vaginal microbiota: a randomised double-blind, placebo-controlled multicentre trial","fulltext":[{"header":"Introduction","content":"\u003cp\u003eA symbiotic relationship exists between reproductive-age women and a \u0026ldquo;normal\u0026rdquo; \u003cem\u003eLactobacillus\u003c/em\u003e dominant vaginal microbiota, reducing the acquisition of sexually transmitted infections such as \u003cem\u003eChlamydia\u003c/em\u003e, Herpes, HPV and HIV\u003csup\u003e\u003cspan additionalcitationids=\"CR2 CR3\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e. In contrast, the reproductive implications of subclinical non-\u003cem\u003eLactobacillus\u003c/em\u003e dominant vaginal dysbiosis are less clear. A non-\u003cem\u003eLactobacillus\u003c/em\u003e dominant vaginal dysbiosis can be defined either by molecular methods or by microscopy, predominantly dividing vaginal dysbiosis into bacterial vaginosis (BV) and aerobic vaginitis (AV) type\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e. BV-type vaginal dysbiosis is usually dominated by \u003cem\u003eGardnerella\u003c/em\u003e spp. and \u003cem\u003eFannyhessea vaginae\u003c/em\u003e whereas AV-type is dominated by \u003cem\u003eStreptococcus\u003c/em\u003e spp. and \u003cem\u003eEnterobacteriacae\u003c/em\u003e\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e,\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eVaginal dysbiosis is relatively common in the IVF population as seen in a recent systematic review and meta-analysis, including 26 studies, in which the prevalence of vaginal dysbiosis overall was 19% (95%CI 18\u0026ndash;20%)\u003csup\u003e7\u003c/sup\u003e. The underlying hypothesis of the present study is that vaginal dysbiotic microbiota ascends to the endometrium, hampering embryo implantation and early pregnancy. As evidence behind this hypothesis, it has been reported that patients with BV have an increased risk of typical BV-type bacteria (e.g. \u003cem\u003eGardnerella\u003c/em\u003e) in the endometrium\u003csup\u003e\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. In one study, the odds ratio was 5.7 (95% CI, 1.8\u0026ndash;18.3) for endometrial bacterial colonization in women with BV as compared to women without BV\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e. Moreover, in infertile women, there may be a link between the endometrial bacterial composition and chronic endometritis \u0026ndash; interestingly including both BV- and AV-type bacteria\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eIn the IVF population, a recent systematic review and meta-analysis reported a significantly reduced clinical pregnancy rate per embryo transfer in patients with vaginal dysbiosis, RR\u0026thinsp;=\u0026thinsp;0.82 (95%CI 0.70\u0026ndash;0.95, I\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;49%) as well as an increased risk of early pregnancy loss (RR 1.49 ;95%CI 1.15\u0026ndash;1.94, I\u003csup\u003e2\u003c/sup\u003e\u0026thinsp;=\u0026thinsp;38%) when compared to IVF patients without vaginal dysbiosis\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e. Moreover, recent studies, exploring endometrial microbiota in IVF patients reported that \u003cem\u003eLactobacillus\u003c/em\u003e dominant \u0026ndash; especially \u003cem\u003eLactobacillus crispatus\u003c/em\u003e dominant \u0026ndash; endometrial microbiota is associated with the most optimal reproductive outcome\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. In contrast, the typical BV- and AV-type bacterial composition of endometrial dysbiosis were associated with poor reproductive outcomes\u003csup\u003e\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e. Finally, in a prospective cohort of women undergoing ultrasound scans during the first trimester, euploid pregnancy loss was associated with a \u003cem\u003eLactobacillus\u003c/em\u003e-depleted vaginal microbiota\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eIn modern IVF, even young women\u0026thinsp;\u0026lt;\u0026thinsp;35 years cannot be expected to exceed implantation rates of 60\u0026ndash;70% following euploid blastocyst transfer\u003csup\u003e\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e. Moreover, it is widely accepted that the remaining approximately 30\u0026ndash;40% of implantation failures are a black box which may predominantly be caused by uterine factors. In this aspect, it might be hypothesized that genital tract dysbiosis could contribute to failed embryo implantation and early pregnancy loss. However, the evidence is inconclusive as to whether genital tract dysbiosis is causally involved in infertility. The vaginal dysbiosis primarily investigated herein is termed abnormal vaginal microbiota (AVM) and defined by high quantitative PCR loads of \u003cem\u003eFannyhessea vaginae\u003c/em\u003e and \u003cem\u003eGardnerella\u003c/em\u003e spp. as explained in methods. AVM is a BV-type vaginal dysbiosis with an assumed high risk of endometrial dysbiosis and poor reproductive outcome. Previously we reported on the advantages of a molecular-based diagnosis of vaginal dysbiosis in IVF patients\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e. Herein it was discussed 1) that a more objective diagnosis could be made as microscopists had significant inter-rater variability using Nugent score and 2) a molecular test enabled dichotomisation of the Nugent intermediate group which is difficult to interpret clinically; and 3) the establishment of quantitative thresholds using key vaginal bacteria to detect IVF patients at risk of a poor reproductive outcome due to ascending bacterial infection \u0026ndash; ie. the assumption was that the more bacteria in the vagina the more likely they were to ascend to the endometrium. Considering intervention, we decided to use clindamycin as it has been shown previously that \u003cem\u003eGardnerella\u003c/em\u003e isolates from patients with chronic endometritis are highly resistant towards metronidazole and not clindamycin\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e. Apart from standard antibiotic treatment of BV, a so-called live biotherapeutic product containing live \u003cem\u003eL. crispatus\u003c/em\u003e CTV-05 (LACTIN-V) has recently been shown to significantly reduce recurrent BV after 12 and 24 weeks posttreatment when used as an add-on to standard antibiotic therapy\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e. However, a potential effect on reproductive outcome of antibiotic treatment and LACTIN-V in IVF patients has not been investigated. Thus, we aimed to investigate whether diagnosis and treatment of a BV-type vaginal dysbiosis prior to embryo transfer would improve reproductive outcomes in IVF patients.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003ePatient enrolment\u003c/h2\u003e \u003cp\u003eBetween December 7, 2017, and September 21, 2022, a total of 1533 IVF patients were screened for AVM. Subsequently, a total of 338 patients were randomised. Failure to meet the inclusion criteria was predominantly due to absence of AVM (N\u0026thinsp;=\u0026thinsp;1003). Despite being positive for AVM, a total of 19 patients declined to participate in the RCT and in addition, 36 patients became spontaneously pregnant before randomisation.\u003c/p\u003e \u003cp\u003eFor the intention to treat (ITT) analysis, we excluded 3 patients who were withdrawn within 24 hours after randomisation in which we did not record further data in our database. One patient developed appendicitis (took one tablet of clindamycin), another patient did not take any study medication at all as the pills were too big to swallow, and the last patient was randomised despite not being positive for AVM because of a reading error that was discovered early.\u003c/p\u003e \u003cp\u003eDuring the time of the interim analysis, we discovered a laboratory error that resulted in five patients being incorrectly randomised and who underwent full study protocol despite not having AVM at the time of screening. Thus, it was decided to compensate with five additional patients who had the same randomization allocation as the incorrectly diagnosed and randomised patients. Considering modified (m)ITT analysis, we decided not to include the five patients who were incorrectly diagnosed and randomised, but instead included the additional five patients randomised. Moreover, four patients were randomised erroneously as the AVM screening test was more than 90 days old before actual randomisation. Finally, one patient turned out to be pregnant few days after randomisation. Thus, the abovementioned 10 patients who did not meet in/exclusion criteria and additionally 59 patients who did not undergo embryo transfer\u0026thinsp;\u0026lt;\u0026thinsp;63days from randomisation were not included in the mITT analysis. For the mITT analysis, this resulted in 94 patients allocated to clindamycin and LACTIN-V (CLLA), 88 patients receiving clindamycin and placebo (CLPL), and 84 patents allocated to placebo clindamycin and placebo LACTIN-V (PLPL). A detailed overview can be seen in the Consort flowchart, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eBaseline characteristics\u003c/h2\u003e \u003cp\u003eIn Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e the baseline characteristics are shown at the mITT level. There were no statistically significant differences between the three groups in any of the background variables. Most patients (88%) were randomised in a fresh cycle and this study reports no differences between groups considering the number of oocytes retrieved and the availability of a blastocyst for transfer. A total of 14 patients (5%) received antibiotic prophylaxis at the time of oocyte retrieval due to e.g. endometriosis. Notably, prophylactic antibiotic treatment is not a standard to all patients at oocyte retrieval in the participating clinics.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eBackground data for all patients analysed per modified intention to treat*\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClindamycin/LACTIN-V (N\u0026thinsp;=\u0026thinsp;94)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eClindamycin/Placebo\u003c/p\u003e \u003cp\u003e(N\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePlacebo/Placebo\u003c/p\u003e \u003cp\u003e(N\u0026thinsp;=\u0026thinsp;84)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eP-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e31.5 (4.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e31.8 (4.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e31.4 (4.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBMI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e24.4 (3.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e25.3 (4.1)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e25.2 (4.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eInfertility years\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2.2 (1.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.3 (1.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2.2 (1.5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePrimary infertility\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e61 (65%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e52 (59%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e58 (69%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.44\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAntibiotics within one month from randomization\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.41\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eTubal factor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7 (7%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13 (15%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10 (12%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.29\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMale factor\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e38(40%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e45 (51%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e43 (51%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.26\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIdiopathic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e35 (37%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24 (27%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22 (26%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAnovulation/ovarian\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e10 (11%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5 (6%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5 (6%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEndometriosis\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4 (5%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.67\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOther\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e14 (15%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7 (8%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11 (13%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.33\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNon-Caucasian ethnicity\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e5 (5%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e7 (8%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e5 (6%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.82\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal douching\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e18 (19%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e26 (30%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e17 (20%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.20\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSmoking prior to IVF\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8 (9%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6 (7%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3 (4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.36\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRandomized in FET cycle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9 (10%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12 (14%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e11 (13%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.69\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFollicles at oocyte retrieval\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e11.0 (6.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11.6 (5.3)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e10.9 (5.6)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.75\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOocytes retrieved\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e9.2 (5.4)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e10.1 (4.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8.9 (4.7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.29\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAntibiotics at oocyte retrieval\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3 (3%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4 (5%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7 (8%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.35\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFET\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e25 (27%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24 (27%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e23 (27%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDouble embryo transfer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3 (4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.45\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBlastocyst transfer\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e81 (86%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e79 (90%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e75 (89%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e0.77\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eData are shown as mean (SD) for continuous data and n (%) for categorical data.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e*All patients with an embryo transfer less than 63 days from the active treatment start to cycle day 1 in the same menstrual cycle that the embryo transfer was performed.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eBMI\u0026thinsp;=\u0026thinsp;Body mass index\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eFET\u0026thinsp;=\u0026thinsp;Frozen embryo transfer\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003ePrimary outcome\u003c/h2\u003e \u003cp\u003eIn the primary analysis considering the mITT population, the crude clinical pregnancy rate per embryo transfer was 41% (95%CI 32\u0026ndash;53%), 47% (95%CI 37\u0026ndash;58%) and 45% (95%CI 36\u0026ndash;57%) in the CLLA, CLPL, PLPL groups respectively. Following adjustment for embryo quality and female age the clinical pregnancy rate was 42% (95%CI 32\u0026ndash;52%), 46% (95%CI 36\u0026ndash;56%) and 45% (95%CI 35\u0026ndash;56%) in the CLLA, CLPL, and PLPL groups respectively, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The average effect of the two active groups compared to the PLPL group was close to unity, aRR 0.98 (95%CI 0.74\u0026ndash;1.29). Both the PP and the ITT analyses were similar to the mITT analysis and did not show any statistically significant differences between the three groups, supplementary \u003cb\u003eTable S1\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eCrude and adjusted chance/risk of reproductive outcomes based on modified intention to treat criteria*\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClindamycin/LACTIN-V (N\u0026thinsp;=\u0026thinsp;94)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eClindamycin/Placebo\u003c/p\u003e \u003cp\u003e(N\u0026thinsp;=\u0026thinsp;88)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePlacebo/Placebo\u003c/p\u003e \u003cp\u003e(N\u0026thinsp;=\u0026thinsp;84)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eBoth active arms versus Placebo/Placebo**\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHCG positives\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e57 (61%)\u003c/p\u003e \u003cp\u003e62% (52\u0026ndash;71%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e58 (66%)\u003c/p\u003e \u003cp\u003e65% (56\u0026ndash;75%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e50 (60%)\u003c/p\u003e \u003cp\u003e59% (49\u0026ndash;69%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eaRR 1.07 (0.87\u0026ndash;1.32)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eClinical pregnancy week 7\u0026ndash;9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e39 (41%)\u003c/p\u003e \u003cp\u003e42% (32\u0026ndash;52%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e41 (47%)\u003c/p\u003e \u003cp\u003e46% (36\u0026ndash;56%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e38 (45%)\u003c/p\u003e \u003cp\u003e45% (35\u0026ndash;56%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eaRR 0.98 (0.74\u0026ndash;1.29)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOngoing pregnancy week 10\u0026ndash;12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e38 (40%)\u003c/p\u003e \u003cp\u003e41% (31\u0026ndash;51%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e40 (45%)\u003c/p\u003e \u003cp\u003e45% (35\u0026ndash;55%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e37 (44%)\u003c/p\u003e \u003cp\u003e44% (34\u0026ndash;54%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eaRR 0.97 (0.73\u0026ndash;1.29)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEarly pregnancy loss\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e19 (33%)\u003c/p\u003e \u003cp\u003e34% (21\u0026ndash;46%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18 (31%)\u003c/p\u003e \u003cp\u003e31% (19\u0026ndash;43%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e13 (26%)\u003c/p\u003e \u003cp\u003e26% (14\u0026ndash;38%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eaRR 1.24 (0.73\u0026ndash;2.11)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLive birth\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e37 (39%)\u003c/p\u003e \u003cp\u003e40% (30\u0026ndash;50%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e40 (45%)\u003c/p\u003e \u003cp\u003e45% (35\u0026ndash;55%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e34 (40%)\u003c/p\u003e \u003cp\u003e40% (30\u0026ndash;51%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eaRR 1.05 (0.77\u0026ndash;1.42)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eGemelli\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePreterm birth\u0026thinsp;\u0026lt;\u0026thinsp;37weeks\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4 (4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4 (5%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMedian birth weight (IQR)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e3580 grams\u003c/p\u003e \u003cp\u003e(2930\u0026ndash;3935)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3488 grams\u003c/p\u003e \u003cp\u003e(3140\u0026ndash;3665)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3813 grams (3220\u0026ndash;4035)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e***\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eUnless otherwise indicated, top line is the crude number of outcome N (%) and were possible below the adjusted proportion and 95.1% confidence intervals adjusted for female age and embryo quality as based on the statistical model. aRR\u0026thinsp;=\u0026thinsp;adjusted risk ratio. IQR\u0026thinsp;=\u0026thinsp;Interquartile range.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e*All patients with an embryo transfer less than 63 days from the active treatment start to cycle day 1 in the same menstrual cycle as the embryo transfer\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e**Average effect of the two active arms compared to placebo.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003e***Not statistically different between groups.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eSecondary outcomes\u003c/h2\u003e \u003cp\u003eThe secondary outcomes from the mITT analysis can be seen in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. The adjusted positive hCG rate per embryo transfer was 62% (95%CI 52\u0026ndash;71%), 65% (95%CI 56\u0026ndash;75%) and 59% (95%CI 49\u0026ndash;69%) in the CLLA, CLPL, PLPL group respectively. The adjusted ongoing pregnancy rate was 41% (95%CI 31\u0026ndash;51%), 45% (95%CI 35\u0026ndash;55%) and 44% (95%CI 34\u0026ndash;55%) in the CLLA, CLPL, PLPL group respectively. Finally, the adjusted live birth rate did not differ significantly, 40% (95%CI 30\u0026ndash;50%), 45% (95%CI 35\u0026ndash;55%) and 40% (95%CI 30\u0026ndash;51%) in the CLLA, CLPL, PLPL groups respectively. There were no preterm births prior to week 34 and the number of preterm births prior to week 37 was 4 (4%), 2 (2%) and 4 (5%) in the CLLA, CLPL, PLPL group respectively, P\u0026thinsp;=\u0026thinsp;0.72.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec7\" class=\"Section2\"\u003e \u003ch2\u003eAdverse events\u003c/h2\u003e \u003cp\u003eThe adverse events differed significantly between groups, Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e. We report statistically significant increase in diarrhoea and abdominal pain in the two active clindamycin groups compared to the PLPL group, RR 2.92 (95%CI 1.26\u0026ndash;6.76) and RR 2.19 (95%CI 1.05\u0026ndash;4.58). An increased risk of vaginal candidiasis was close to statistical significance in the two clindamycin groups compared to PLPL. Compared to the two arms receiving placebo LACTIN-V, more patients experienced vaginal itching in the active LACTIN-V arm, RR 4.09 (95%CI 1.26\u0026ndash;13.29). Finally, a significant higher proportion of patients suspected that they received active clindamycin in the two active clindamycin groups compared to the PLPL group, RR 1.46 (95%CI 1.09\u0026ndash;1.95). There was nearly 100% compliance to study medication. For clindamycin, patients were asked to return the pillbox to the clinic after completion and 232/335 (69%) did whereas the remainder told the clinic that they forgot the pillbox but took all pills. Only 3 patients returned clindamycin pills due to the tablets being too big for them to swallow. Moreover, a total of seven serious adverse events were registered without being suspected as adverse reactions. The list of serious adverse events can be seen in supplementary \u003cb\u003eTable S2\u003c/b\u003e.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAdverse events reported from randomization day to embryo transfer day for the intention to treat group (N\u0026thinsp;=\u0026thinsp;335)\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eClindamycin/LACTIN-V (N\u0026thinsp;=\u0026thinsp;110)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eClindamycin/Placebo\u003c/p\u003e \u003cp\u003e(N\u0026thinsp;=\u0026thinsp;111)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003ePlacebo/Placebo\u003c/p\u003e \u003cp\u003e(114)\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eP-value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eFatigue\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12 (11%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e11 (10%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e15 (13%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.73\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDiarrhoea\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e12 (11%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e22 (20%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e6 (5%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.003\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal discharge\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e13 (12%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14 (13%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22 (19%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.24\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal itching\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8 (7%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2 (3%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal pain\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal smell\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.00\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal bleeding\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3 (3%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal rash\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.22\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVaginal candida\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4 (4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.07\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUTI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003eN/A\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDysuria\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.70\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eNausea\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e8 (7%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e16 (14%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e17 (15%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.14\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBloating\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e23 (21%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e24 (22%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e19 (17%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeadache\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e4 (4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6 (5%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e7 (6%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.74\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAbdominal pain\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e15 (14%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19 (17%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e8 (7%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.06\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHeartburn\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3 (3%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.13\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUrticaria\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1 (1%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDo you think you received clindamycin\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e43 (48%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e57 (67%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e32 (40%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.001\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDo you think you received LACTIN-V\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e27 (30%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e32 (38%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e22 (28%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBad experience using LACTIN-V\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2 (2%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4 (4%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.60\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCompliance to clindamycin/placebo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e109 (99%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e109 (98%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e114 (100%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.32\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCompliance to LACTIN-V/placebo\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e107 (97%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e110 (99%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e113 (99%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.46\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eCompliance is here defined as those patients reporting taking all study medicine notwithstanding those patients who took all study medicine but in a wrong way.\u003c/td\u003e\u003c/tr\u003e \u003ctr\u003e\u003ctd colspan=\"5\"\u003eUTI\u0026thinsp;=\u0026thinsp;Urinary tract infection.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eTreatment of AVM and posthoc analyses on reproductive outcome\u003c/h2\u003e \u003cp\u003eAs stated in the research protocol\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e, consecutive vaginal samples were taken during the RCT; among them on the day of randomisation and at embryo transfer. In the mITT population, the total number of AVM positives on the randomisation day was 78% (204/261, 95%CI 73\u0026ndash;83%). Thus, due to a potential misclassification bias due to randomising AVM negatives, we made a post-hoc sensitivity analysis on the mITT-level for all patients with AVM at the randomisation day. However, we found no significant differences in reproductive outcomes between the randomised groups as based on AVM at randomisation day (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e\u003cb\u003e)\u003c/b\u003e. Moreover, patients without AVM at randomisation day (N\u0026thinsp;=\u0026thinsp;57) had an overall clinical pregnancy rate non-significantly different when compared to AVM positives, 49% (95%CI 36\u0026ndash;62%). The number of patients who were successfully treated for AVM at embryo transfer (AVM at randomisation but not at embryo transfer) was 100% (61/61), 75% (43/57) and 36% (22/61) in the CLLA, CLPL and PLPL groups respectively, P\u0026thinsp;\u0026lt;\u0026thinsp;0.01. All the above-mentioned treatment success rates were significantly different compared both pairwise within the respective groups to the spontaneous cure rate prior to randomisation as well as significantly different when compared independently between groups. In addition, we report an overall non-significantly increased clinical pregnancy rate in case of AVM at embryo transfer, RR 1.13 (95%CI 0.81\u0026ndash;1.56) when compared to patients not having AVM at embryo transfer. This was primarily seen in the PLPL group in which a higher but statistically non-significant clinical pregnancy rate was seen in the AVM positive group when compared to AVM negatives at embryo transfer day, RR 1.63 (95%CI 0.96\u0026ndash;2.76). In Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e, we also report the reproductive outcome in patients stratified by vaginal community state types (CST) on randomisation day using deferred data analysis from 16s rRNA gene sequencing as described in methods. Within CST IV-A\u0026thinsp;+\u0026thinsp;B (BV-type), CST IV-C (AV-type) and CST I, II, III, V (\u003cem\u003eLactobacillus\u003c/em\u003e dominant CSTs), we did not see significant effect of either of the three treatment groups, Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. Subsequently we compared the overall CST IV group against the combined group of all \u003cem\u003eLactobacillus\u003c/em\u003e dominant CSTs on the day of randomisation regardless of allocated treatment and by mITT criteria and report a significantly higher clinical pregnancy rate in the \u003cem\u003eLactobacillus\u003c/em\u003e dominant group, RR 1.36 (95%CI 1.00-1.85). For comparison, this was not seen in the comparative \u003cem\u003eLactobacillus\u003c/em\u003e dominant group at embryo transfer in which the clinical pregnancy rate was non-significantly lower compared to patients with CST IV at embryo transfer, RR 0.93 (95%CI 0.71\u0026ndash;1.22). Finally, we investigated a potential differential effect between patients randomised in fresh and frozen embryo transfer cycles and observed no statistically significant differences between groups (data not shown).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSensitivity analysis showing crude number of reproductive outcomes expressed as N (%;95%CI) in the respective groups under modified intention to treat (mITT) criteria and with deferred vaginal swab diagnosis from the time of randomisation.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"6\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHCG positives\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eClinical pregnancy week 7\u0026ndash;9\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eOngoing pregnancy week 10\u0026ndash;12\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eEarly pregnancy loss\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c6\"\u003e \u003cp\u003eLive birth\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAVM positive\u003c/p\u003e \u003cp\u003e(CLLA, N\u0026thinsp;=\u0026thinsp;72)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e44\u003c/p\u003e \u003cp\u003e(61%;50\u0026ndash;72%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e32\u003c/p\u003e \u003cp\u003e(44%;33\u0026ndash;56%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e31\u003c/p\u003e \u003cp\u003e(43%;32\u0026ndash;55%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e13\u003c/p\u003e \u003cp\u003e(29%; 16\u0026ndash;43%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e30\u003c/p\u003e \u003cp\u003e(42%;30\u0026ndash;53%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAVM positive\u003c/p\u003e \u003cp\u003e(CLPL, N\u0026thinsp;=\u0026thinsp;64)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e40\u003c/p\u003e \u003cp\u003e(63%;51\u0026ndash;74%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e26\u003c/p\u003e \u003cp\u003e(41%;29\u0026ndash;53%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e26\u003c/p\u003e \u003cp\u003e(41%;29\u0026ndash;53%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003cp\u003e(35%; 20\u0026ndash;50%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e26\u003c/p\u003e \u003cp\u003e(41%;29\u0026ndash;53%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAVM positive\u003c/p\u003e \u003cp\u003e(PLPL, N\u0026thinsp;=\u0026thinsp;68)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e41\u003c/p\u003e \u003cp\u003e(60%;49\u0026ndash;72%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e31\u003c/p\u003e \u003cp\u003e(46%;34\u0026ndash;57%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e31\u003c/p\u003e \u003cp\u003e(46%;34\u0026ndash;57%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e10\u003c/p\u003e \u003cp\u003e(24%;11\u0026ndash;38%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e30\u003c/p\u003e \u003cp\u003e(44%;32\u0026ndash;56%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAVM negative\u003c/p\u003e \u003cp\u003e(CLLA, N\u0026thinsp;=\u0026thinsp;20)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e12\u003c/p\u003e \u003cp\u003e(60%;38\u0026ndash;82%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(35%;14\u0026ndash;56%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(35%;14\u0026ndash;56%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e(41%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(35%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAVM negative\u003c/p\u003e \u003cp\u003e(CLPL, N\u0026thinsp;=\u0026thinsp;23)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e17\u003c/p\u003e \u003cp\u003e(74%;56\u0026ndash;92%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e14\u003c/p\u003e \u003cp\u003e(61%;41\u0026ndash;81%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e13\u003c/p\u003e \u003cp\u003e(57%;36\u0026ndash;77%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e4\u003c/p\u003e \u003cp\u003e(24%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e13\u003c/p\u003e \u003cp\u003e(57%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAVM negative\u003c/p\u003e \u003cp\u003e(PLPL, N\u0026thinsp;=\u0026thinsp;14)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003cp\u003e(64%;39\u0026ndash;89%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(50%;24\u0026ndash;76%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6\u003c/p\u003e \u003cp\u003e(43%;17\u0026ndash;69%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e3\u003c/p\u003e \u003cp\u003e(33%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4\u003c/p\u003e \u003cp\u003e(28%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST I\u0026thinsp;+\u0026thinsp;II\u0026thinsp;+\u0026thinsp;III\u0026thinsp;+\u0026thinsp;V\u003c/p\u003e \u003cp\u003e(CLLA, N\u0026thinsp;=\u0026thinsp;14)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9\u003c/p\u003e \u003cp\u003e(64%;39\u0026ndash;89%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(50%; 24\u0026ndash;76%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(50%; 24\u0026ndash;76%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e(22%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(50%; 24\u0026ndash;76%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST I\u0026thinsp;+\u0026thinsp;II\u0026thinsp;+\u0026thinsp;III\u0026thinsp;+\u0026thinsp;V\u003c/p\u003e \u003cp\u003e(CLPL, N\u0026thinsp;=\u0026thinsp;14)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e10\u003c/p\u003e \u003cp\u003e(71%;48\u0026ndash;95%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e8\u003c/p\u003e \u003cp\u003e57%; 31\u0026ndash;83%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e8\u003c/p\u003e \u003cp\u003e57%; 31\u0026ndash;83%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e(20%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e8\u003c/p\u003e \u003cp\u003e(57%; 31\u0026ndash;83%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST I\u0026thinsp;+\u0026thinsp;II\u0026thinsp;+\u0026thinsp;III\u0026thinsp;+\u0026thinsp;V\u003c/p\u003e \u003cp\u003e(PLPL, N\u0026thinsp;=\u0026thinsp;14)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e11\u003c/p\u003e \u003cp\u003e(79%;57\u0026ndash;100%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e9\u003c/p\u003e \u003cp\u003e(64%; 39\u0026ndash;89%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e9\u003c/p\u003e \u003cp\u003e(64%; 39\u0026ndash;89%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e(18%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(50%; 24\u0026ndash;76%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST IV-A\u0026thinsp;+\u0026thinsp;B\u003c/p\u003e \u003cp\u003e(CLLA, N\u0026thinsp;=\u0026thinsp;67)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e41\u003c/p\u003e \u003cp\u003e(61%;49\u0026ndash;73%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e29\u003c/p\u003e \u003cp\u003e(43%; 31\u0026ndash;55%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e28\u003c/p\u003e \u003cp\u003e(42%; 30\u0026ndash;54%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e13\u003c/p\u003e \u003cp\u003e(32%; 17\u0026ndash;46%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e27\u003c/p\u003e \u003cp\u003e(40%; 29\u0026ndash;52%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST IV-A\u0026thinsp;+\u0026thinsp;B\u003c/p\u003e \u003cp\u003e(CLPL, N\u0026thinsp;=\u0026thinsp;61)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e38\u003c/p\u003e \u003cp\u003e(62%;50\u0026ndash;75%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e25\u003c/p\u003e \u003cp\u003e(41%;29\u0026ndash;53%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e24\u003c/p\u003e \u003cp\u003e(39%; 27\u0026ndash;52%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e14\u003c/p\u003e \u003cp\u003e(37%; 21\u0026ndash;52%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e24\u003c/p\u003e \u003cp\u003e(39%; 27\u0026ndash;52%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST IV-A\u0026thinsp;+\u0026thinsp;B\u003c/p\u003e \u003cp\u003e(PLPL, N\u0026thinsp;=\u0026thinsp;55)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e31\u003c/p\u003e \u003cp\u003e(56%;43\u0026ndash;70%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e23\u003c/p\u003e \u003cp\u003e(42%;29\u0026ndash;55%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e23\u003c/p\u003e \u003cp\u003e(42%; 29\u0026ndash;55%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e8\u003c/p\u003e \u003cp\u003e(26%; 10\u0026ndash;41%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e22\u003c/p\u003e \u003cp\u003e(40%; 27\u0026ndash;53%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST IV-C\u003c/p\u003e \u003cp\u003e(CLLA, N\u0026thinsp;=\u0026thinsp;5)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3\u003c/p\u003e \u003cp\u003e(60%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e(20%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e(20%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e2\u003c/p\u003e \u003cp\u003e(66%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e(20%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST IV-C\u003c/p\u003e \u003cp\u003e(CLPL, N\u0026thinsp;=\u0026thinsp;7)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e6\u003c/p\u003e \u003cp\u003e(86%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e(71%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e(71%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e1\u003c/p\u003e \u003cp\u003e(17%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e(71%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCST IV-C\u003c/p\u003e \u003cp\u003e(PLPL, N\u0026thinsp;=\u0026thinsp;8)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e7\u003c/p\u003e \u003cp\u003e(88%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e5\u003c/p\u003e \u003cp\u003e(63%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4\u003c/p\u003e \u003cp\u003e(50%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e \u003cp\u003e3\u003c/p\u003e \u003cp\u003e(43%)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e \u003cp\u003e4\u003c/p\u003e \u003cp\u003e(50%)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"6\"\u003eCrude number of N outcome and (%;95%CI) where possible for all patients with a vaginal swab positive for the indexed group at the time of randomisation and according to mITT conditions. CST\u0026thinsp;=\u0026thinsp;Community state type by VALENCIA classification\u003csup\u003e\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e. AVM\u0026thinsp;=\u0026thinsp;abnormal vaginal microbiota by qPCR. For comparisons where N outcome was less than 5, the 95%CI is not shown as data is very sparse and difficult to interpret.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe present drug intervention trial found no evidence of an improved reproductive outcome in the two active treatment groups (CLLA and CLPL), separately or combined when compared to placebo (PLPL) in IVF patients diagnosed with AVM. In contrast, patients reported significantly more adverse events such as abdominal pain, diarrhoea, and vaginal itching in the active treatment groups. Importantly, the reproductive outcome of the three groups was very close to unity despite superior treatment efficacy of AVM in the CLLA and CLPL group compared to the PLPL group. In posthoc analysis, we report similar results for patients having CST IV on randomisation day in whom we observed no significant treatment effect on reproductive outcome when comparing intervention with CLLA and CLPL to PLPL.\u003c/p\u003e \u003cp\u003eThe result of the present study was unexpected as multiple studies report association between genital tract dysbiosis and reproductive outcome in IVF patients. One of those association studies was from our group in 2016\u003csup\u003e16\u003c/sup\u003e in which a comparable group of IVF patients with untreated AVM had a clinical pregnancy rate per embryo transfer of 9% (2/22) compared to 44% (27/62) in the PLPL group of the present study. In consideration of the small sample size in the initial study, we hypothesized a more conservative effect of intervention in the present study where clinical pregnancy rate per embryo transfer was estimated to 20% in the PLPL group compared to 40% in the CLPL group. However, based on the results of the present study, this hypothesis may now be rejected. Moreover, because we observed superior treatment efficacy of AVM in the CLLA and CLPL groups compared to the PLPL group, the present study questions the biological plausibility that BV-type vaginal dysbiosis (AVM or CST IV-A\u0026thinsp;+\u0026thinsp;B) may negatively affect the reproductive outcome. In addition, intervention with CLLA, CLPL and PLPL did not seem to negatively affect reproductive outcome in neither AVM negative patients nor patients with a \u003cem\u003eLactobacillus\u003c/em\u003e dominant CST. As regards external validity of the initial findings, a systematic review and meta-analysis was recently performed to investigate the overall association between vaginal dysbiosis and reproductive outcomes in IVF patients\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u003c/sup\u003e. The results of the meta-analysis were somewhat conflicting; Although the vaginal dysbiosis group had lower risk of clinical pregnancy per embryo transfer (RR 0.82 ;95%CI 0.70\u0026ndash;0.95, 25 studies) as well as an increased risk of early pregnancy loss (RR 1.49 ;95%CI 1.15\u0026ndash;1.94, 20 studies) compared to the non-dysbiosis group, the impact on live birth rate of both the overall vaginal dysbiosis group and a sub-stratified BV-type vaginal dysbiosis group was statistically non-significant, RR 0.94 (95%CI 0.76\u0026ndash;1.16, 14 studies) and RR 0.96 (95%CI 0.76\u0026ndash;1.21, 13 studies). Although this might be due to fewer studies with follow-up at the time of live birth, the true impact of vaginal dysbiosis on reproductive outcome of IVF patients may in any case be smaller than hypothesized in the power calculation of the present study. However, neither in planned nor in posthoc analyses of the present study was it possible to extract any treatment effect on reproductive outcome when comparing the CLLA, CLPL and PLPL groups. In contrast, we report in a posthoc analysis that patients who had a spontaneous occuring \u003cem\u003eLactobacillus\u003c/em\u003e dominant CST at randomisation day seemed to have a better clinical pregnancy rate regardless of the allocated treatment group and interestingly this effect was not seen in the corresponding \u003cem\u003eLactobacillus\u003c/em\u003e dominant group at embryo transfer day which was impacted by the allocated treatment. This might be interpreted as an \u003cem\u003ea priori\u003c/em\u003e more optimal reproductive outcome in the patients with a spontaneous occurring \u003cem\u003eLactobacillus\u003c/em\u003e dominant CST and thus an effect independent of treatment. In fact, the findings of the present study are somewhat in line with the recent debate regarding treatment of BV for the prevention of preterm birth in which a significant association between BV and preterm birth was reported by a meta-analysis\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e, but the largest intervention trial\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e did not show any benefit from treatment. Consequently, clinical guidelines\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e,\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e do not recommend treating BV in order to reduce preterm birth.\u003c/p\u003e \u003cp\u003eIn the present study, we report a significantly higher AVM cure rate of 36% in the PLPL group from the time of randomisation to embryo transfer as compared to the overall spontaneous AVM cure rate of 22% from screening to randomisation. This difference may indicate a positive AVM treatment effect of the LACTIN-V placebo containing mainly maltodextrin (a glucose polymer) which theoretically might have contributed to a higher pregnancy rate in the PLPL group. A study in rhesus macaques indeed showed that a vaginal gel with maltose (a dimer of glucose) significantly increased the abundance of \u003cem\u003eLactobacillus\u003c/em\u003e in the vagina\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e. However, restricting the analysis of the present study to IVF patients who remained AVM positive at embryo transfer and who were given PLPL showed a clinical pregnancy rate of 58% (23/40) as compared to PLPL patients not having AVM at embryo transfer who had a clinical pregnancy rate of 35% (12/34), RR 1.63 (95%CI 0.96\u0026ndash;2.76). Results were similar for grouping by CST IV in PLPL patients at embryo transfer day (data not shown). Thus, the potential treatment effect on AVM or CST IV of the PLPL seems independent and not related to the pregnancy outcome. Moreover, if causal inference does exist between AVM/CST IV and poor reproductive outcome it would be expected that the substantial number of AVM/CST IV positives in the PLPL group had a poorer reproductive outcome \u0026ndash; which we did not see. As based on the abovementioned lack of biological plausibility of an active effect of PLPL on the reproductive outcome, we do not consider that an active placebo effect has impacted the results of the reproductive outcome, albeit a control group of AVM positives with no intervention would have been optimal.\u003c/p\u003e \u003cp\u003eThe most recent Cochrane systematic review and meta-analysis on the use of antibiotics prior to embryo transfer published November 2023 reported low certainty according to GRADE, considering all reproductive outcomes including clinical pregnancy rate, odds ratio 1.01 (95%CI 0.67\u0026ndash;1.55, 2 RCTs) in the treated group compared to the untreated group\u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e. The finding of the present RCT adds certainty to the conclusions published previously, albeit it is important to note that both studies included in the Cochrane review considered IVF patients not targeted for genital tract dysbiosis prior to embryo transfer. To the best of our knowledge, only a few smaller intervention studies have been published in IVF patients diagnosed with vaginal or endometrial dysbiosis, also reporting on reproductive outcomes. Eldivan et al.\u003csup\u003e\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e\u003c/sup\u003e randomised IVF patients on the first day of ovarian stimulation to screening and subsequent treatment for BV, trichomoniasis, chlamydia and gonorrhoea. The comparator was patients who were randomised to no screening for the abovementioned microorganisms but were treated as standard patients. A total of 17/45 (38%) IVF patients were positive for BV using Nugent\u0026rsquo;s criteria, and they received treatment with oral metronidazole 500mg two times daily for 7 days before embryo transfer. Despite treatment, only 4/17 (24%) conceived (hCG positive) in the BV-treated group compared to a conception rate of 12/28 (43%) in patients screened negative for BV. In the unscreened group, the conception rate was 14/40 (35%). Although the results were not statistically significant, the study suggested that the poor reproductive outcome in the BV-positive group persisted regardless of metronidazole treatment. The present RCT adds to that explanation as the reproductive outcome of the present study was close to unity in the two active treatment arms compared to PLPL. Thus, treatment of vaginal dysbiosis does not seem to increase reproductive outcome of IVF patients but as previously discussed, an IVF patient with a \u003cem\u003eLactobacillus\u003c/em\u003e dominant CST may rather have an \u003cem\u003ea priori\u003c/em\u003e better reproductive outcome by an unknown mechanism.\u003c/p\u003e \u003cp\u003e One of the primary strengths of the present study is a rigorous design, monitored according to the ICH-GCP guidelines and with adequate power to investigate the reproductive outcome in an IVF setting. We had relatively broad inclusion criteria, at large mimicking the clinical setting of daily standard IVF patients in which this intervention was intended. This RCT intended to investigate screening and treating vaginal dysbiosis as an add-on to standard clinical practice as we hypothesized that this might have been a future strategy for all IVF patients regardless of infertility diagnosis. Now, after study completion and our results showing no difference, it can be discussed whether a more targeted approach in certain patient groups would yield different results. As an example, we included patients in both fresh and frozen embryo transfer cycles as we considered treatment prior to embryo transfer to be the primary objective and, thus, disregarded any differential effect that these two IVF treatments (fresh/frozen cycle) might have on the vaginal microbiota and the reproductive outcome. Randomising in frozen embryo transfer cycles only would eliminate the potential bias from randomisation before oocyte retrieval, as patients in a fresh cycle may not have embryo transfer within the study intervention period. However, in the present study, we did not see any statistical difference in primary outcome across the randomised groups when comparing fresh and frozen embryo transfer cycles, (data not shown). One of the important limitations of the present study is the spontaneous AVM cure rate of 22% from screening to randomisation. Based on recent evidence regarding temporal dynamics of the vaginal microbiota\u003csup\u003e\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e\u003c/sup\u003e, this spontaneous cure rate is probably what might be expected. Nevertheless, sensitivity analysis of AVM or CST IV positive patients from the vaginal swabs taken on the day of randomisation did not yield different results, Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. AVM diagnosis was used in the present study as this study was designed in 2016 where 16S rRNA gene sequencing was not as available as today and because the turn-around time would not allow timely intervention. Moreover, we considered the importance of targeting total abundance of BV bacteria and not the relative abundance as in 16S rRNA gene sequencing. We consider AVM a BV-type vaginal dysbiosis based on previous findings of high sensitivity and specificity towards Nugent score BV\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e and CST IV\u003csup\u003e\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e, however small differences exist and strictly speaking we only investigated AVM in the present study. Finally, the assumption that vaginal dysbiosis can be used as a proxy of the endometrial dysbiosis might be challenged and, thus, we cannot exclude that a specific screening and treatment for endometrial dysbiosis would yield different results.\u003c/p\u003e \u003cp\u003eIn conclusion, the results of this RCT does not support treatment of AVM or CST IV in IVF patients with clindamycin alone or in combination with LACTIN-V prior to embryo transfer in order to improve reproductive outcomes. Thus, screening the general IVF population for BV-type vaginal dysbiosis does not seem to be useful in a clinical setting. Moreover, the present RCT challenges the hypothesis that a BV-type vaginal dysbiosis might be causally linked to reproductive outcome as successful treatment of AVM and CST IV seemed independent and not related to reproductive success.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cem\u003eAcknowledgements\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe are grateful to the patients participating in this study as well as the many health/research professionals helping this trial to be completed. Research nurses at the respective clinics as well as laboratory technicians at Statens Serum institute should be commended for their work. We acknowledge Osel Inc. and Tom Parks especially for the collaboration on this project. In addition to the unrestricted research grant from Osel, Inc. previously mentioned, other granters were Axel Muusfeldts Foundation grant number 2018-1311, A.P. M\u0026oslash;ller Foundation for Medical Research grant number 18-L-0173, Central Denmark Region Hospital MIDT Foundation grant number 421506 and a PhD scholarship from Aarhus University, Denmark to TH.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAuthor contributions\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eTH wrote the first draft and made statistical analysis. NlCF was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. AP was part of patient recruitment, project administration, results interpretation and review and editing. MBJ was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. HOE was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. BA was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. RL was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. LP was part of patient recruitment, project administration, results interpretation and review and editing. HSN was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. VH was part of conceptualisation, patient recruitment, project administration, results interpretation and review and editing. TRP was part of project administration, data curation and review and editing. ASH was part of literature search and review and editing. JSJ was part of conceptualisation, methodology, supervision, project administration, data curation, funding acquisition, results interpretation and review and editing. PH was part of conceptualisation, methodology, supervision, project administration, data curation, funding acquisition, results interpretation and review and editing.\u003c/p\u003e\n\u003cp\u003eAll authors had access to the study data and had final responsibility for the decision to submit for publication. PH and TH directly accessed and verified the underlying data reported in the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eCompeting interests statement\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eJSJ, PH and TH are listed as inventors in an international patent application (PCT/US2018/040882), involving the therapeutic use of vaginal lactobacilli to improve IVF outcomes. TH received honoraria for lectures from Gedeon Richter. PH received unrestricted research grants outside this study from Merck, IBSA and Gedeon Richter as well as honoraria for lectures from MSD, Merck, Gedeon-Richter, and Theramex. JSJ received grants, speaker\u0026rsquo;s fee, and non-financial support from Hologic, speaker\u0026rsquo;s fees from LeoPharma and grants from Nabriva, all outside the submitted work and serves on the scientific advisory board of Roche Molecular Systems, Abbott Molecular and Cepheid. NLCF received unrestricted research grant from Gedeon Richter and honoraria for lectures from Merck. HSN received through her institution research grant from Ferring and Freya Biosciences and honoraria for lectures from Merck, IBSA, Gedeon Richter, Novo Nordisk, Cook medical and Ferring.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eWiesenfeld HC et al (2002) Lower genital tract infection and endometritis: insight into subclinical pelvic inflammatory disease. Obstet Gynecol 100:456\u0026ndash;463\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMartin HL et al (1999) Vaginal lactobacilli, microbial flora, and risk of human immunodeficiency virus type 1 and sexually transmitted disease acquisition. J Infect Dis 180:1863\u0026ndash;1868\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCherpes TL, Meyn LA, Krohn MA, Lurie JG, Hillier SL (2003) Association between acquisition of herpes simplex virus type 2 in women and bacterial vaginosis. Clin Infect Dis 37:319\u0026ndash;325\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFu J, Zhang H (2023) Meta-analysis of the correlation between vaginal microenvironment and HPV infection. Am J Transl Res 15:630\u0026ndash;640\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFrance MT et al (2020) VALENCIA: a nearest centroid classification method for vaginal microbial communities based on composition. Microbiome 8:166\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOerlemans EFM et al (2020) The Dwindling Microbiota of Aerobic Vaginitis, an Inflammatory State Enriched in Pathobionts with Limited TLR Stimulation. Diagnostics (Basel) 10\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMaksimovic Celicanin M, Haahr T, Humaidan P, Skafte-Holm A (2024) Vaginal dysbiosis - the association with reproductive outcomes in IVF patients: a systematic review and meta-analysis. Curr Opin Obstet Gynecol. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1097/GCO.0000000000000953\u003c/span\u003e\u003cspan address=\"10.1097/GCO.0000000000000953\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMitchell CM et al (2015) Colonization of the upper genital tract by vaginal bacterial species in nonpregnant women. \u003cem\u003eAmerican Journal of Obstetrics and Gynecology\u003c/em\u003e 212, 611.e1-611.e9\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSwidsinski A et al (2013) Presence of a polymicrobial endometrial biofilm in patients with bacterial vaginosis. PLoS ONE 8:e53997\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLiu Y et al (2019) Endometrial microbiota in infertile women with and without chronic endometritis as diagnosed using a quantitative and reference range-based method. Fertil Steril. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.fertnstert.2019.05.015\u003c/span\u003e\u003cspan address=\"10.1016/j.fertnstert.2019.05.015\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMoreno I et al (2018) The diagnosis of chronic endometritis in infertile asymptomatic women: a comparative study of histology, microbial cultures, hysteroscopy, and molecular microbiology. \u003cem\u003eAmerican Journal of Obstetrics \u0026amp; Gynecology\u003c/em\u003e 218, 602.e1-602.e16\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBui BN et al (2023) The endometrial microbiota of women with or without a live birth within 12 months after a first failed IVF/ICSI cycle. Sci Rep 13:3444\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMoreno I et al (2022) Endometrial microbiota composition is associated with reproductive outcome in infertile patients. Microbiome 10:1\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGrewal K et al (2022) Chromosomally normal miscarriage is associated with vaginal dysbiosis and local inflammation. BMC Med 20:38\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVitagliano A, Paffoni A, Vigan\u0026ograve; P (2023) Does maternal age affect Assisted Reproduction Technology success rates after euploid embryo transfer? A systematic review and meta-analysis. Fertil Steril S0015\u0026ndash;0282(23):00169\u0026ndash;00163. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.fertnstert.2023.02.036\u003c/span\u003e\u003cspan address=\"10.1016/j.fertnstert.2023.02.036\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHaahr T et al (2016) Abnormal vaginal microbiota may be associated with poor reproductive outcomes: a prospective study in IVF patients. Hum Reprod 31:795\u0026ndash;803\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePetrina MAB, Cosentino LA, Wiesenfeld HC, Darville T, Hillier SL (2019) Susceptibility of endometrial isolates recovered from women with clinical pelvic inflammatory disease or histological endometritis to antimicrobial agents. Anaerobe 56:61\u0026ndash;65\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCohen CR et al (2020) Randomized Trial of Lactin-V to Prevent Recurrence of Bacterial Vaginosis. N Engl J Med 382:1906\u0026ndash;1915\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHaahr T et al (2020) Effect of clindamycin and a live biotherapeutic on the reproductive outcomes of IVF patients with abnormal vaginal microbiota: protocol for a double-blind, placebo-controlled multicentre trial. BMJ Open 10:e035866\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLeitich H, Kiss H (2007) Asymptomatic bacterial vaginosis and intermediate flora as risk factors for adverse pregnancy outcome. Best Pract Res Clin Obstet Gynecol 21:375\u0026ndash;390\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSubtil D et al (2018) Early clindamycin for bacterial vaginosis in pregnancy (PREMEVA): a multicentre, double-blind, randomised controlled trial. Lancet 392:2171\u0026ndash;2179\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHaahr T et al (2016) Treatment of bacterial vaginosis in pregnancy in order to reduce the risk of spontaneous preterm delivery - a clinical recommendation. Acta Obstet Gynecol Scand. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/aogs.12933\u003c/span\u003e\u003cspan address=\"10.1111/aogs.12933\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eUS Preventive Services Task Force (2020) Screening for Bacterial Vaginosis in Pregnant Persons to Prevent Preterm Delivery: US Preventive Services Task Force Recommendation Statement. JAMA 323:1286\u0026ndash;1292\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eZhang Q-Q et al (2020) Prebiotic Maltose Gel Can Promote the Vaginal Microbiota From BV-Related Bacteria Dominant to Lactobacillus in Rhesus Macaque. Front Microbiol 11:594065\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAmeratunga D, Yazdani A, Kroon B (2023) Antibiotics prior to or at the time of embryo transfer in ART. Cochrane Database Syst Reviews. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1002/14651858.CD008995.pub3\u003c/span\u003e\u003cspan address=\"10.1002/14651858.CD008995.pub3\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eEldivan \u0026Ouml; et al (2016) Does screening for vaginal infection have an impact on pregnancy rates in intracytoplasmic sperm injection cycles? Turk J Obstet Gynecol 13:11\u0026ndash;15\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDefining Vaginal Community Dynamics (2023) : daily microbiome transitions, the role of menstruation, bacteriophages and bacterial genes. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.researchsquare.com\u003c/span\u003e\u003cspan address=\"https://www.researchsquare.com\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.21203/rs.3.rs-3028342/v1\u003c/span\u003e\u003cspan address=\"10.21203/rs.3.rs-3028342/v1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHaahr T et al (2018) Vaginal microbiota and IVF outcomes: development of a simple diagnostic tool to predict patients at risk of a poor reproductive outcome. J Infect Dis. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1093/infdis/jiy744\u003c/span\u003e\u003cspan address=\"10.1093/infdis/jiy744\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSrinivasan S et al (2010) Temporal Variability of Human Vaginal Bacteria and Relationship with Bacterial Vaginosis. PLoS ONE 5:e10197\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eForney LJ et al (2010) Comparison of self-collected and physician-collected vaginal swabs for microbiome analysis. J Clin Microbiol 48:1741\u0026ndash;1748\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWittes J (2002) Sample size calculations for randomized controlled trials. Epidemiol Rev 24:39\u0026ndash;53\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJensen JS, Bj\u0026ouml;rnelius E, Dohn B, Lidbrink P (2004) Use of TaqMan 5\u0026rsquo; nuclease real-time PCR for quantitative detection of Mycoplasma genitalium DNA in males with and without urethritis who were attendees at a sexually transmitted disease clinic. J Clin Microbiol 42:683\u0026ndash;692\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDatcu R et al (2013) Vaginal microbiome in women from Greenland assessed by microscopy and quantitative PCR. BMC Infect Dis 13(2334\u0026ndash;):480\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGolob JL et al (2017) Stool Microbiota at Neutrophil Recovery Is Predictive for Severe Acute Graft vs Host Disease After Hematopoietic Cell Transplantation. Clin Infect Diseases: Official Publication Infect Dis Soc Am 65:1984\u0026ndash;1991\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMartin M (2011) Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J 17:10\u0026ndash;12\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCallahan BJ et al (2016) DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods 13:581\u0026ndash;583\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHarris PA et al (2009) Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inf 42:377\u0026ndash;381\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Online methods","content":"\u003cp\u003e\u003cem\u003eStudy design\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe present randomised, double-blind, parallel-group, placebo-controlled trial (RCT) was conducted at three University-affiliated fertility clinics and one private fertility clinic in Denmark. The EudraCT clinical trial identifier is 2016-002385-31; first registration day 2016-07-11. The current version of the protocol is 11, 2021-04-29. The trial protocol was published in 2020\u003csup\u003e19\u003c/sup\u003e. The primary centre from which the ethical approval was accepted was\u0026nbsp;Skive Regional Hospital.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003ePatients\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eInclusion criteria were, female aged 18-42 years old, BMI \u0026lt;35, negative chlamydia/gonorrhoea test within 6 months of IVF treatment, normal cervical smear within 3 years of IVF treatment, written informed consent, and abnormal vaginal microbiota (AVM), according to criteria stated below with the vaginal swab being obtained less than 90 days before the randomisation day. Exclusion criteria were Hepatitis/HIV positivity, intrauterine malformations and severe concomitant disease, including inflammatory bowel disease. Patients were not allowed to take vaginal probiotics, neuromuscular blocking drugs, immunosuppressive medication, or investigational drug preparations other than the study product. Each patient could only participate once. Patients were approached when attending their first, second or third IVF stimulation cycle or frozen embryo transfer (FET) therefrom. If eligible, a vaginal swab was collected by the treating physician (N=1238) or the patient herself (N=273) using the ESwab\u0026trade; system (Copan, Brescia, Italy).\u0026nbsp;Previous studies found that self-collection of vaginal swabs is as valid as physician obtained swabs both considering qPCR of e.g.\u0026nbsp;\u003cem\u003eGardnerella\u003c/em\u003e\u003csup\u003e29\u003c/sup\u003e and sequencing\u003csup\u003e30\u003c/sup\u003e\u003cstrong\u003e.\u0026nbsp;\u003c/strong\u003eThe ESwab\u0026trade; was subsequently shipped for central testing at Statens Serum Institut, Copenhagen where it was analysed for AVM according to criteria stated below and as previously reported\u003csup\u003e16\u003c/sup\u003e. AVM is a qPCR-based diagnosis of a BV-type vaginal dysbiosis, targeting a high absolute abundance of \u003cem\u003eGardnerella\u0026nbsp;\u003c/em\u003espp. and \u003cem\u003eFannyhessea vaginae\u003c/em\u003e with 93% sensitivity and 93% specificity compared to BV diagnosed by Nugent score (Gold standard)\u003csup\u003e16\u003c/sup\u003e. Patients were randomised on the first day of ovarian stimulation or during the first days of elective FET allowing for at least 12 days of study medication.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRandomisation, masking and intervention\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe present RCT randomised three parallel groups 1:1:1. The first active treatment arm (CLLA) consisted of oral clindamycin 300\u0026thinsp;mg two times daily for 7 days followed by vaginal LACTIN-V (Osel Inc.). LACTIN-V is an investigational drug that contains \u003cem\u003eL. crispatus\u003c/em\u003e CTV-05 (2\u0026times;10\u003csup\u003e9\u0026thinsp;\u003c/sup\u003eCFU/dose, 200\u0026thinsp;mg, delivered with pre-filled, single-use vaginal applicators) which was applied vaginally once daily after the last day of clindamycin treatment for a total of 7 consecutive days; thereafter twice weekly up to a total usage of 21 applicators or until completion of the clinical pregnancy scan at week 7\u0026ndash;9.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe second active treatment arm (CLPL) consisted of oral clindamycin 300\u0026thinsp;mg, twice daily for 7 days followed by a LACTIN-V placebo as in the regimen described above.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFinally, the inactive treatment arm (PLPL) consisted of an identically appearing clindamycin placebo and a LACTIN-V placebo. Placebo clindamycin consisted of encapsulated mannitol. The placebo LACTIN-V formulation contained the same ingredients as LACTIN-V, without \u003cem\u003eL. crispatus\u003c/em\u003e CTV-05.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eRandomisation code and allocation concealment was performed by the pharmacy providing the study medication, using a computer-generated code. The identical medication packs were labelled with the randomisation number and received at the IVF centres from the pharmacy in blocks of 15, five of each of the three treatments, to secure equal distribution of treatment arms at the centres. The randomisation number was continuous and unique for each patient, and it was prelabelled from the pharmacy before distribution to the clinics; thus, both patients and study personnel were blinded to the intervention. The pharmacy did not play any role in or had knowledge about the IVF treatment. The first person to investigate the unblinded dataset was an external statistician at Aarhus University, Denmark who analysed the reproductive outcome. After that, data was unblinded for the principal investigators.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eOutcomes\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe primary outcome was clinical pregnancy rate, defined as an ultrasound proven intrauterine fetal heartbeat at gestational week 7\u0026ndash;9. Secondary outcomes were live birth rate, biochemical pregnancy rate (hCG positive 9\u0026ndash;11 days after embryo transfer according to local laboratory standards), implantation rate, pregnancy loss, preterm birth rate, birth weight and adverse events. Considering adverse events, we recorded all adverse events reported to the clinics from the day of randomisation to the day of embryo transfer, including an adverse event questionnaire on the day of embryo transfer. Patients without embryo transfer were approached to also fill in the questionnaire.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eCompliance to medication was defined as those patients reporting to take all study medicine notwithstanding those patients who took all study medicine, but inadvertently in a wrong way. Outcomes were analysed by intention to treat (ITT), modified intention to treat (mITT) and per protocol (PP). ITT included all randomised patients except those withdrawn from the study within 24 hours from randomisation. For the mITT analysis, additionally, patients needed to fulfil in/exclusion criteria and to have embryo transfer less than 63 days from the active treatment start to cycle day 1 in the same menstrual cycle in which the embryo transfer was performed. For the PP analysis, additionally, all patients should adhere strictly to the protocol. Two authors (TH and MBJ) stratified patients for the mITT and PP analysis independently prior to breaking the randomization code.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eSample size\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eWe estimated a 40% chance for clinical pregnancy per embryo transfer in the active treatment arm as compared to the placebo arm which was estimated to have a maximum of 20% chance of clinical pregnancy/transfer based on a previous study\u003csup\u003e16\u003c/sup\u003e. By a two-sample proportion test with a power of 80% and an alpha at 5%, the aim was to randomise 92 patients in each group. A potential difference between the two active arms was considered exploratory and consequently, this was not part of the power calculation, but we decided to include the same number of patients in the CLLA arm to investigate a potential added benefit of LACTIN-V. An interim analysis was performed, and to adjust for this, we added 10% more patients to the 92 randomised patients as suggested in Wittes et al.\u003csup\u003e31\u003c/sup\u003e. We estimated that 10% of couples would have no embryos for transfer after randomisation in fresh cycles, and we adjusted for this by adding another 10% to each randomised group, that is, 92+19=111. Interim analysis was pre-planned and conducted at the time 167 patients were randomised. At this point and under the conditions described previously\u003csup\u003e19\u003c/sup\u003e, the study board decided to continue the trial on March 12\u003csup\u003eth\u003c/sup\u003e, 2020.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eStatistics\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eFor each treatment group CLLA, CLPL and PLPL the estimated proportions, risk ratios (RR) and their confidence intervals were calculated using uni- and multivariate logistic regression analyses by generalized linear models with log-link function. The significance level for the final analysis was set at 4.9% (95.1% confidence intervals) due to the preplanned interim analysis where an alpha of 0.1% was used. The outcomes were analysed with and without adjusting for the following confounders: quality of the embryo (blastocyst/cleavage state \u0026ndash;preimplantation genetic testing for aneuploidy (PGT-A) was not performed in this study) and female age (continuous variable) which are well-described parameters affecting pregnancy rates. It was also pre-planned to adjust for double embryo transfer and for private/public clinics, however, only five patients received double embryo transfer without achieving clinical pregnancy. Furthermore only 10 patients were included from the one participating private IVF clinic of whom only one patient had a clinical pregnancy. These numbers were not sufficient to adjust for double embryo transfer and private/public centre in the statistical model. We pre-planned to adjust for the abovementioned confounders since the primary analysis (mITT) was not performed per randomised patient but per transferred patient. The linear relation between the log of odds and age was evaluated using splines. To examine the sensitivity of the estimates, all the outcomes were further analysed under PP and ITT conditions. In \u003cstrong\u003eTables 1\u003c/strong\u003e and \u003cstrong\u003e3\u003c/strong\u003e, we used Fisher\u0026rsquo;s exact test for binary variables, whereas the ANOVA was used for the continuous variables. We decided to provide a statistical test in Table 1 because all patients randomised did not necessarily have an embryo transfer and as such were not eligible for mITT analysis. Safety analysis (\u003cstrong\u003eTable 3\u003c/strong\u003e) was done per ITT. All these analyses were performed in STATA version 18 (StataCorp LLC).\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eLaboratory methods\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eAfter arrival of the vaginal eSwab specimen at the central laboratory at Statens Serum Institute (SSI), DNA from 100 \u0026micro;L of the vaginal screening sample was released boiling in 300\u0026nbsp;\u0026micro;L Chelex resin slurry as previously described\u003csup\u003e32\u003c/sup\u003e. Quantitative (q)PCRs detecting \u003cem\u003eGardnerella spp.\u0026nbsp;\u003c/em\u003e(previously described as \u003cem\u003eG. vaginalis\u003c/em\u003e) and \u003cem\u003eFannyhessea (F.) vaginae\u0026nbsp;\u003c/em\u003e(previously \u003cem\u003eAtopobium vaginae\u003c/em\u003e) were performed as previously described\u003csup\u003e33\u003c/sup\u003e.\u0026nbsp;A vaginal sample was considered positive if having more than 5.7 \u0026times; 10\u003csup\u003e7\u003c/sup\u003e and/or 5.7 \u0026times; 10\u003csup\u003e6\u003c/sup\u003e copies/ml for \u003cem\u003eGardnerella spp.\u0026nbsp;\u003c/em\u003eand \u003cem\u003eF. vaginae,\u003c/em\u003e respectively.\u0026nbsp;DNA extraction of vaginal samples was performed on a MagNAPure instrument \u0026nbsp;(Roche Molecular Systems Inc., Pleasanton, CA, USA), using off-board enzymatic lysis by mixing 100 \u0026micro;L of sample with 150 \u0026micro;L MagNAPure bacterial lysis buffer with final concentrations of lysozyme \u0026nbsp;(20mg/mL), mutanolysin (250U/mL) and lysostaphin (22U/mL) (Merck Life Sciences, S\u0026oslash;borg, Denmark) for 60 minutes at 37\u0026deg;C. A total of 200\u0026micro;l was extracted, using the Pathogen Universal 200 MagNA Pure protocol and eluted in 100\u0026micro;l. The quality of the DNA extraction process was documented by simultaneous extraction of a vaginal mock community (ATCC\u0026reg; MSA-2007\u0026trade;, LGC Standards, Teddington, UK). After dissolving the bacteria according to the manufacturer\u0026rsquo;s instructions, the pellet of the vaginal mock community was\u0026nbsp;re-suspended in 1 mL PBS and 10 \u0026micro;L 100\u0026micro;L ESwab\u0026reg; (Copan) transport medium.\u0026nbsp;Negative controls for H\u003csub\u003e2\u003c/sub\u003eO were analysed on the same plates as the samples.\u0026nbsp;Primers for 16S qPCR and amplification for 16S Illumina sequencing were the same as used by Fredricks \u003cem\u003eet al\u003c/em\u003e. (Table S3) and have previously been published\u003csup\u003e34\u003c/sup\u003e.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eFor the sequencing, adapters and spacers added to the primer sequences, see Table S4. Amplification of the 16S Illumina sequencing, Kapa\u0026nbsp;HiFi HotStart\u0026nbsp;polymerase ready mix (Sigma-Aldrich) was used with the primer sequences described above, but with adaptors with heterogeneity spacers for MiSeq indexing and sequencing as described in Table S4. The indexing PCR was carried out using 2x KAPA HiFi, Nextera XT DNA Library Prep Kit v2 for indexing (384 combinations) (Illumina) and with 2 \u0026mu;L amplicon from the amplification PCR in a final volume of 25 \u0026mu;L on a 2720 Thermal Cycler using the following conditions: 3 min at 95 \u0026deg;C, 15 cycles of 20s at 98 \u0026deg;C, 15 s at 55 \u0026deg;C and 45 s at 72 \u0026deg;C, and final 5 min elongation step at 72 \u0026deg;C. After indexing, post-PCR cleanup was performed using a 1:1 ratio of AMPure XP beads (Beckman Coulter) following manufacturer\u0026rsquo;s instructions before quantification using AccuClear Ultra High Sensitivity dsDNA Quantification Kit (Biotium) following manufacturer\u0026rsquo;s instructions. Subsequently, samples were pooled in equimolar concentrations and quantified using the Qubit dsDNA HS assay kit (Thermo Fisher Scientific) prior to sequencing on a MiSeq with a 600-cycle MiSeq Reagent Kit v3 (Illumina) and a pool of libraries loaded at 10 pM final concentrations.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eBioinformatics pipeline\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eThe amplicon samples were multiplexed on multiple sequencing run (with 20% phiX spike in). Nextera XT barcode incorporation and sequencing using the Illumina MiSeq platform (Illumina, Inc., San Diego, United States), with 300 bp paired-end reads, this was performed according to the manufacturer\u0026rsquo;s directions. Raw reads were demultiplexed using bcl2fastq (RRID:SCR_015058). Primers and heterogeneity spacers were trimmed using cutadapt (v. 2.3) in paired-end mode at an 8% error rate\u003csup\u003e35\u003c/sup\u003e. Subsequent sequence analysis was performed in Rstudio (v. 2022.07.0; R Core Team (2022). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.) with R version 4.2.1. Decontamination was done using the Decontam package (v. 1.18.0) using method \u0026ldquo;either\u0026rdquo; with frequency threshold = 0.1 and prevalence threshold = 0.5. Amplicon Sequence Variants were called using the dada2 pipeline (v. 1.26.0) using the function \u0026quot;filterAndTrim\u0026quot; with following parameters: truncLen = (270, 210), maxEE = 2, truncQ = 2, maxN = 0\u003csup\u003e36\u003c/sup\u003e. Community state types were subsequently computed according to the publication by France et al\u003csup\u003e5\u003c/sup\u003e.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eRole of the funding source\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003ePH, TH and JSJ received\u0026mdash;through their institutions\u0026mdash;an unrestricted research grant from Osel, Inc., which produces LACTIN-V. A clinical trial agreement was made ensuring full data ownership and publication rights to PH. Osel Inc. had inputs to study design but no role in data collection, data analysis, data interpretation, or writing of the present manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eData handling\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eStudy data was collected and managed, using REDCap\u0026nbsp;electronic data capture tools\u003csup\u003e37\u003c/sup\u003e hosted at Aarhus University and monitored by the University affiliated ICH-GCP unit. The randomization code was broken April 21, 2023, when the primary outcome was monitored, and patients had been stratified to ITT, mITT or PP analysis.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eData availability statement\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003eIn 2028, five years after study completion we are obliged to deliver the deidentified clinical trial data to the Danish National Archives upon which the data is accessible for all interested parties. The metadata and statistical analysis-log can be made available to reviewers upon submission. Researchers interested in the individual participant data prior to 2028 may contact the first author to access the data under a data sharing agreement as decided by the Danish Data Protection Agency. The full study protocol with statistical analysis plan is uploaded with this manuscript, albeit it has to a great extent already been published\u003csup\u003e19\u003c/sup\u003e. Sequencing data will be uploaded to a relevant data repository with accession codes given when this manuscript has been accepted for publication.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eMethods-only references\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e28.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Wittes, J. Sample size calculations for randomized controlled trials. \u003cem\u003eEpidemiol Rev\u003c/em\u003e \u003cstrong\u003e24\u003c/strong\u003e, 39\u0026ndash;53 (2002).\u003c/p\u003e\n\u003cp\u003e29.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Jensen, J. S., Bj\u0026ouml;rnelius, E., Dohn, B. \u0026amp; Lidbrink, P. Use of TaqMan 5\u0026rsquo; nuclease real-time PCR for quantitative detection of Mycoplasma genitalium DNA in males with and without urethritis who were attendees at a sexually transmitted disease clinic. \u003cem\u003eJ Clin Microbiol\u003c/em\u003e \u003cstrong\u003e42\u003c/strong\u003e, 683\u0026ndash;692 (2004).\u003c/p\u003e\n\u003cp\u003e30.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Datcu, R. \u003cem\u003eet al.\u003c/em\u003e Vaginal microbiome in women from Greenland assessed by microscopy and quantitative PCR. \u003cem\u003eBMC infectious diseases\u003c/em\u003e \u003cstrong\u003e13\u003c/strong\u003e, 480-2334-13\u0026ndash;480 (2013).\u003c/p\u003e\n\u003cp\u003e31.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Golob, J. L. \u003cem\u003eet al.\u003c/em\u003e Stool Microbiota at Neutrophil Recovery Is Predictive for Severe Acute Graft vs Host Disease After Hematopoietic Cell Transplantation. \u003cem\u003eClinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America\u003c/em\u003e \u003cstrong\u003e65\u003c/strong\u003e, 1984\u0026ndash;1991 (2017).\u003c/p\u003e\n\u003cp\u003e32.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. \u003cem\u003eEMBnet.journal\u003c/em\u003e \u003cstrong\u003e17\u003c/strong\u003e, 10\u0026ndash;12 (2011).\u003c/p\u003e\n\u003cp\u003e33.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Callahan, B. J. \u003cem\u003eet al.\u003c/em\u003e DADA2: High-resolution sample inference from Illumina amplicon data. \u003cem\u003eNat. Methods\u003c/em\u003e \u003cstrong\u003e13\u003c/strong\u003e, 581\u0026ndash;583 (2016).\u003c/p\u003e\n\u003cp\u003e34.\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Harris, P. A. \u003cem\u003eet al.\u003c/em\u003e Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. \u003cem\u003eJ Biomed Inform\u003c/em\u003e \u003cstrong\u003e42\u003c/strong\u003e, 377\u0026ndash;381 (2009)\u003c/p\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4271948/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4271948/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe aim of the present randomised, double-blind, placebo-controlled trial was to investigate whether antibiotics and live lactobacilli would improve clinical pregnancy rates in IVF patients with abnormal vaginal microbiota (AVM) defined by high quantitative PCR loads of Fannyhessea vaginae and Gardnerella spp. IVF patients were randomised prior to embryo transfer into three parallel groups 1:1:1. Group one (CLLA) received clindamycin 300 mg ×2 daily for 7 days followed by vaginal Lactobacillus crispatus until the day of pregnancy scan, using the investigational drug LACTIN-V. Group two (CLPL) received clindamycin and placebo LACTIN-V, and finally, group three (PLPL) received an identical placebo of both drugs. A total of 1533 patients were screened, and 338 patients were randomised. The clinical pregnancy rate per embryo transfer was 42% (95%CI 32-52%), 46% (95%CI 36-56%) and 45% (95%CI 35-56%) in the CLLA, CLPL, PLPL groups respectively. Thus, treatment of AVM does not improve reproductive outcome.\u003c/p\u003e\n\u003cp\u003eThe EudraCT (European Union Drug Regulating Authorities Clinical Trials Database) clinical trial identifier is 2016-002385-31; first registration day 2016-07-11.\u003c/p\u003e","manuscriptTitle":"Does intervention with clindamycin and a live biotherapeutic drug containing Lactobacillus crispatus impact the reproductive outcome of IVF patients with abnormal vaginal microbiota: a randomised double-blind, placebo-controlled multicentre trial","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-10-02 15:25:18","doi":"10.21203/rs.3.rs-4271948/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"f84a966a-a8c8-437f-b271-e65b961edf1b","owner":[],"postedDate":"October 2nd, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":38277812,"name":"Health sciences/Medical research/Outcomes research"},{"id":38277813,"name":"Health sciences/Health care/Therapeutics/Drug therapy/Antimicrobial therapy"}],"tags":[],"updatedAt":"2025-05-08T07:35:16+00:00","versionOfRecord":[],"versionCreatedAt":"2024-10-02 15:25:18","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4271948","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4271948","identity":"rs-4271948","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}