Total Progressive Motility Count as a Predictor of Clinical Pregnancy in Intrauterine Insemination: A Prospective Cohort Study

Total Progressive Motility Count as a Predictor of Clinical Pregnancy in Intrauterine Insemination: A Prospective Cohort Study | 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 Research Article Total Progressive Motility Count as a Predictor of Clinical Pregnancy in Intrauterine Insemination: A Prospective Cohort Study Zahra Kaveh, Fatemeh davari Tanha, Mahbod Ebrahimi, Sara Lotfi, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5730261/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 Introduction Infertility is the inability to achieve pregnancy after one year of unprotected intercourse. However, over 50% of couples undergoing infertility evaluations will conceive within 2 to 3 years, either naturally or with the help of interventions such as intrauterine insemination or in vitro fertilization, leading to a successful pregnancy. The study aimed to assess the impact of total progressive motile sperm count on the live birth rate in intrauterine insemination (IUI) procedures. Material and Methods This prospective cohort study was conducted during 2022–2023 at Yas Hospital Complex of Tehran University of Medical Sciences, Iran on infertile couples who were referred to this center for IUI. Participants were mothers under 43 years old with a sperm count of at least 1 million. Ovarian stimulation was conducted using various protocols, and sperm was prepared using the swim-up method. The luteal phase was supported with progesterone, and pregnancies were confirmed through ultrasound and β-hCG measurement. Results In this study, 374 cases underwent 581 IUI cycles. The clinical pregnancy rate was 23.5%, and the live birth rate was 14.4%. In cases of clinical pregnancy, sperm count, TPMS, and TMSC were significantly higher, and abnormal morphology and SDFA were significantly lower compared to cases with no clinical pregnancy. There was no statistically significant difference in sperm indices between groups in cases of abortion and live birth. Factors such as shorter duration of marriage, primary infertility, infertility origin (male or female), absence of varicocele, clomiphene consumption, and decreased SDFA are all associated with an increased likelihood of achieving clinical pregnancy. The data we obtained indicates that TPMS and TMSC can predict clinical pregnancy. The area under the curve for clinical pregnancy was 0.628 for TPMC and 0.598 for TMSC. When the cutoff value for TPMC was set at 50%, the specificity for clinical pregnancy was 46%, and the sensitivity was 67%. Similarly, for TMSC, at a cutoff value of 51.50% for a clinical pregnancy, the specificity and sensitivity were 70% and 58%, respectively. The data shows that the number and percentage of live births and clinical pregnancies increase as the quantity within the respective groups increases. Conclusion The study found that both the total motile sperm count (TMSC) and total progressive motile sperm count (TPMC) was significant factors in predicting the success of Intrauterine Insemination (IUI). TPMC was identified as a significant predictor of clinical pregnancy and live birth rates in IUI procedures Intrauterine insemination sperm analysis total motile sperm count total progressive motile sperm count Figures Figure 1 Introduction Infertility is commonly characterized by the inability to achieve pregnancy following one year of unprotected intercourse. Nonetheless, over fifty percent of couples undergoing infertility evaluations will achieve conception within 2 to 3 years, either spontaneously or with the aid of interventions such as IUI or IVF, ultimately resulting in a successful pregnancy.( 1 – 3 ). Intrauterine insemination (IUI) is a method that has been used for years in the treatment of infertile couples. The IUI method is the first reference assisted reproductive technique in mild to moderate male infertility, which is a non-invasive, much simpler and cheaper method than classical in vitro fertilization and intracytoplasmic sperm injection (ICSI). The success of IUI depends on many factors such as drugs, time and number of cycles and the total number of motile sperm after washing. Another important factor affecting the success of IUI is the number of motile sperm entering the uterus ( 4 ). Total motile sperm count (TMC) or total progressive motile sperm count (TPMC), which is more accurate, can be used as a method to evaluate the severity of male infertility; it can express information about the volume of semen and the concentration of sperm and its progressive mobility. Studies show that men with lower TPMC have lower pregnancy rates. Also, TPMC has a better correlation with normal pregnancy rate and IUI success than other sperm parameters ( 5 , 6 ). TPMC can be measured before and after sperm preparation. IUI is less successful when the total number of inseminated motile spermatozoa is low and the morphology after washing is poor ( 7 ). In patients with mild male factor infertility, if the TPMC before washing is above 75 million and the TPMC after washing is above 65 million, we can expect a clinical pregnancy above 10%. However, in infertile patients with an unknown cause, this value is less than 10% ( 8 ). The present study was conducted with the aim of determining the effect of total progressive motile sperm count on the rate of live births (LBR) in assisted reproductive technology IUI. Materials and Methods This prospective cohort study was conducted during May 2022 to May 2023 at Yas Hospital Complex of Tehran University of Medical Sciences, Iran on infertile couples who were referred to this center for IUI. After this study, the ethics committee of the university also obtained written consent from the couples to participate in the study; mothers less than 43 years old who were able to perform autologous IUI cycles and NMSI more than 1 million participated in the study. Before performing IUI, assessments of the need to obtain descriptions and examinations, including the current blood profile, were performed. Transvaginal ultrasound was performed between days 1 and 5 of the menstrual cycle, and hysterosalpingography between days 7 and 14 of the menstrual cycle. Sperm analysis, according to WHO recommendations, was performed for all couples. IUI was performed after ovarian stimulation with one of the classic protocols, or stimulation with gonadotropin or stimulation with a combination of gonadotropin and clomiphene citrate. Clomiphene citrate was prescribed for women with anovulatory problems at a dose of 50 to 100 mg from day 2 to 7 of the cycle. If at least one follicle ≥ 16 mm and endometrium ≥ 7 mm, ovulation was performed with gonadotropin. Gonadotropin was used only in cases where the ovulatory movement did not respond to clomiphene citrate. The patient's history determines the dosage of the drug, and in cases with no ovulation, treatment is prescribed on days 2 or 3 of the cycle and on days 4 to 7 in patients with a regular cycle. All cycle’s with ≥ 5 mature follicles were reduced, and in cases with more than three follicles, the risk of multiple births was examined for the continuation of the cycle with couples. Patients were monitored using ultrasound and blood levels of LH, estradiol, and progesterone. Sperm was prepared by the swim-up method. After liquefaction of the sperm in 3–5 ml of the medium that reached the temperature of 37 degrees, it was centrifuged for 10 minutes at a speed of 600 g, and then it was dissolved in 3–5 ml of the same medium at 37 degrees for 3 minutes at a speed of 600 g was centrifuged. Then approximately 1 ml of medium two material incubated at 37° is added to the created, and the result is incubated for at least 1 hour at 37° until motile spermatozoa migrate to the surface. The supernatant was centrifuged at 600 g for 5 minutes and added to 0.3 ml of medium 2. Then, according to the WHO order, the amount of sperm was measured and the number of motile sperm inseminated (NMSI) was determined. IUI will be done within 26 to 36 hours after ovulation using a catheter. The luteal phase is supported with the help of vaginal progesterone twice a day or oral duphaston tablets twice a day from the day of IUI. It will continue for five weeks until the ultrasound confirms the pregnancy. Quantitative measurement of βhCG is performed 15 days after IUI, and if it is higher than 100 IU/mL, it will be considered positive. In the continuation of the pregnancy, it will be confirmed with the help of ultrasound by observing the amniotic sac and the heart activity of the fetus. A live birth is when a baby is born with signs of life after 20 weeks of pregnancy. Qualitative variables were tested using a one-sample Kolmogorov–Smirnov test to confirm normality. Categorical data were assessed by χ2 test or Fisher’s exact test as appropriate. Non-normality distribution data was analysed by a non-parametric test (Mann-Whitney U test and Kruskal-Wallis test). Binary logistic regression was performed to gain associated factors with clinical pregnancy. Receiver operating characteristic (ROC) curves were calculated to determine the predictive value between TPMSC and the clinical pregnancy and live birth. A p value of < 0.05 was considered statistically significant. IBM SPSS Statistics V.22 was used to analyse data. Ethics approval and consent to participate This study was officially registered as a research project with the Ethics Committee of Tehran University of Medical Sciences (IR.TUMS.MEDICINE.REC.1401.190). Before participation, comprehensive explanations were provided to all potential participants about the study's objectives, procedures, and potential risks. After receiving this information, written informed consent was obtained from each patient who agreed to participate. Significantly, no fees were charged to patients involved in the study. At any stage, participants were free to withdraw if they no longer wished to continue, and all necessary treatment and care measures were upheld to support their well-being. All ethical considerations were rigorously adhered to throughout the research process, ensuring the confidentiality and privacy of patient information, along with other pertinent ethical issues. Results In this study, 374 cases underwent 581 IUI cycles. Semen samples were taken fresh from spouses and frozen samples were not used. None of the participants dropped out during the study. Demographic characteristics of the patients are shown in Table 1. Sperm measurements are shown in Table 2. In examining the results of IUI, chemical pregnancy was 30.7%, clinical pregnancy was 23.5%, miscarriage was 4.8%, ectopic pregnancy was 3.2%, and live birth was 14.4% (Table 3). In the analysis of meaning groups based on the specified pregnancy in cases of chemical pregnancy, the two factors of sperm count and TPMC were statistically higher than in cases of no chemical pregnancy. In cases of clinical pregnancy, sperm count, TPMS, and TMSC were significantly higher, and abnormal morphology and SDFA were significantly lower than in cases of no clinical pregnancy (Table 4). In cases of abortion and live birth, there was no statistically significant difference in sperm indices between groups (Table 5). The logistic regression analysis results indicate that a shorter duration of marriage, primary infertility, infertility origin include male or female, no varicocele, clomiphene consumption and decreased SDFA are all associated with an increased likelihood of achieving clinical pregnancy. In contrast, long duration of marriage, secondary infertility, mixed infertility, varicocele, letrozole consumption and higher SDFA causes lower the possibility of pregnancy. In the logistic regression analysis of live births, none of the studied changes had a significant effect (Table 6). ROC curve was performed on participants to determine the predictive value of TPMS and TMSC in clinical pregnancy and live birth (Figure 1). The obtained data showed that TPMS and TMSC have predictive value in clinical pregnancy. The level under the curve for clinical pregnancy was 0.628 for TPMC and 0.598 for TMSC. Based on the cutoff value of 50% for TPMC, the specificity was 46%, and the specificity was 67% for clinical pregnancy. Also, the specificity and specificity of TMSC in the cutoff value of 51.50% for clinical pregnancy were 70% and 58%, respectively (Table 7). Table 8 comprehensively summarizes the live births and clinical pregnancies within the TPMC and TMSC groups. The data distinctly illustrates a progressive increase in the number and percentage of live births and clinical pregnancies as the quantity within the respective groups escalates. Discussion The success rate of natural or medicated intrauterine insemination (IUI) cycles in couple infertility varies. The success rate usually ranges from 10–20% per turn. The question of the probability of success of assisted reproductive methods such as IUI is always raised by couples. In IUI, there are fewer risks and costs compared to in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI), but the live birth rate is lower. In the conducted studies, several variables have been investigated in terms of increasing the probability of pregnancy in the method, including the type of infertility, the causes of infertility, characteristic’s sperm and related factors ( 9 , 10 ). Numerous research studies have delved into the association between total motile sperm count (TMSC) and pregnancy outcomes within the context of Intrauterine Insemination (IUI). In a retrospective analysis conducted by Akhil Muthigi et al. ( 11 ), the clinical pregnancy rate was examined for each IUI cycle. The findings revealed a noteworthy correlation between higher TMSC levels and heightened clinical pregnancy rates. Additionally, the study observed a consistent linear decline in the clinical pregnancy rate as TMSC decreased. For instance, the clinical pregnancy rate stood at 16% when the TMSC was measured at 9 million, whereas it diminished to approximately 4% when the TMSC was less than 250 thousand. The primary objective of the IUI method is the precise selection of motile sperm with suitable quality, characterized by TMSC and TPMC indices, followed by the transfer of the selected sperm into the uterine cavity. Limited research has been conducted on the association between TMSC and TPMC with clinical pregnancies and live births. Orkun Tan et al.'s study ( 12 ) revealed that TPMSC is an independent predictor of pregnancy, alongside women's age and type of ovarian stimulation. At the same time, other seminal parameters did not exhibit significant predictive capability for pregnancy. The current study's findings support that TMSC and TPMC indices are meaningful predictors of clinical pregnancy, consistent with similar studies ( 13 ). In a study by Laka Dinelli et al. ( 14 ) concerning the prediction of pregnancy following Intrauterine Insemination (IUI), it was observed that the pregnancy rate is higher when Total Motile Sperm Count (TPMSC) exceeds 1 million compared to when it is less than 1 million. These findings align with the results of the present study. In Dinelli et al.'s study, TPMSC was assessed as a qualitative index divided into two groups: below 1 million and above 1 million. Conversely, in the study by Orkun Tan et al. ( 12 ), TPMSC was categorized into five groups, revealing that values surpassing 0.5 million offer a greater likelihood of pregnancy than values below 0.5 million. Our ongoing research has uncovered a positive correlation between an elevated TPMC value and an increased likelihood of achieving a clinical pregnancy. Preliminary findings suggest that a higher TPMS value may potentially indicate fertility and successful pregnancy outcomes. To determine the cut-off level for the predictive value of TPMSC, Bollendorf et al. ( 15 ) set a threshold value of 2 million inseminated rapidly progressing sperm to obtain a satisfactory pregnancy rate. However, in the study of Elvan Koyun Ok et al. ( 16 ), the value was 10 million. For TPMSC, after washing, they determined a useful threshold value for IUI success. In the study of Haiyan Lin et al. ( 17 ), the sensitivity and specificity of TMSC and TPMC indices in predicting clinical pregnancies at the cut-off of 55 million were 50% and 86.5%, respectively. In the present study, the sensitivity and specificity at the cut-off of 50% were 70% and 58%, respectively, for the TMSC index and 46% and 67%, respectively, for TPMC. Differences in cut-off values ​​in different studies have caused differences in sensitivity and specificity. Limitation The study has several limitations that warrant consideration: • Relatively Low Specificity and Sensitivity of TPMC and TMSC as Predictive Markers: The findings indicate that the specificity and sensitivity of Total Progressive Motile Count (TPMC) and Total Motile Sperm Count (TMSC) as standalone predictive markers are relatively low. This reduces their clinical utility and underscores the need for additional biomarkers or integrated models to enhance predictive accuracy. • Lack of Adjustment for Certain Confounding Factors: Key confounding factors such as maternal BMI, endometrial thickness, and prior pregnancy history were not accounted for in the analysis. These variables may impact the study outcomes, and future research should incorporate them to strengthen the robustness of the findings. • Single-Center Nature of the Study: The study’s single-center design limits the generalizability of the results to a wider population. Conducting multi-center studies with diverse patient groups is suggested to validate the findings and improve their broader applicability. Conclusions The study results indicated that both the Total Motile Sperm Count (TMSC) and Total Progressive Motile Sperm Count (TPMC) indices significantly contributed to accurately predicting the outcomes of Intrauterine Insemination (IUI) with a high degree of precision. Notably, TPMC was identified as a significant predictor of clinical pregnancy and live birth rates in IUI procedures Declarations Acknowledgements We want to thank all the patients and their families who participated in this study, as it would not have been possible without their cooperation and trust. We would also like to thank the medical staff of Yas Complex Hospital, especially the staff of the IVF and OB & GYN departments, for their support and guidance throughout the study. We would also like to thank the Vali Asr Reproductive Health Research Center staff and the Family Health Research Institute for their valuable assistance and cooperation. Consent for Publication The authors have obtained consent for publication from all individuals whose personal data is included in this study. All participants were informed about the purpose of the study and provided written consent prior to inclusion. Availability of Data and Material The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request. All relevant data are within the paper and its supplementary information files. Competing Interests The authors declare that they have no competing interests related to this study. There are no financial or personal relationships that could influence the work reported in this paper. Funding The authors declare that no funding was received for this study. Author Contribution Zahra Kaveh: As a medical student, she may have assisted in data collection, conducted literature reviews, or contributed to drafting sections of the paper.Fatemeh Davari Tanha: As an MD in the IVF unit, she likely contributed expertise in obstetrics and gynecology, overseeing clinical aspects of the research related to reproductive health.Mahbod Ebrahimi: Also an MD in the IVF unit, he may have collaborated on clinical assessments and contributed to the analysis and interpretation of results.Sara Lotfi: As an MD in obstetrics and gynecology, she could have contributed to the clinical research aspect, bringing insights from her work in Qom.Elham Rashidi: Her MD background in OB& GYN might indicate she played a role in clinical evaluations and contributing to the writing and methodology sections.Elham Feizabad: Being part of the Vali-E-Asr Reproductive Health Research Center, she may have contributed data analysis or conducted specific research inquiries into reproductive health topics.Samaneh Etesami (Corresponding Author): As the corresponding author, she likely coordinated the research project, liaised with other authors, and ensured the manuscript met publication standards. 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Tables Table 1 Distribution of demographic characteristics in study participants Variables Participants N = 374 mother height (cm), Mean ± SD 2.57 ± 162.35 mother weight, Mean ± SD 8.45 ± 57.67 mother Body mass index (kg / m2 ), Mean ± SD 2.79 ± 21.84 duration of marriage (years), Mean ± SD 1.66 ± 3.58 man’s age (years), Mean ± SD 6.32 ± 37.46 Female’s age (years), Mean ± SD 5.58 ± 34.11 Infertility duration (years), Mean ± SD 4.22 ± 6.68 Infertility kind, n (%) primary 345 (92.2) secondary 29 (7.8) Infertility Origin, n (%) male 138 (36.9) female 139 (37.2) mixed 97 (25.9) Gonadotropin drugs, n (%) Letrozole 220 (58.8) Clomiphene 154 (41.2) Varicocele, n (%) negative 290 (77.5) positive 84 (22.5) Testicular surgery history, n (%) negative 331 (88.5) positive 43 (11.5) IUI history, n (%) once time IUI 167 (44.7) twice IUI 207 (55.3) SD: standard deviation Table 3 Distribution of outcome of IUI in study participants Variables Participants N = 374 Beta-hCG, n (%) negative 259 (69.3) positive 115 (30.7) Gestational sac, n (%) negative 286 (76.5) positive 88 (23.5) Abortion, n (%) negative 356 (95.2) positive 18 (4.8) Ectopic pregnancy, n (%) negative 362 (96.8) positive 12 (3.2) Live birth Rate, n (%) negative 320 (85.6) positive 54 (14.4) Beta-hCG: Beta-Human Chorionic Gonadotropin Table 4 Comparison of sperm characteristics in the chemical and clinical pregnant participants Variables Chemical Pregnancy Pvalue* Clinical Pregnancy Pvalue* negative (n = 259) positive (n = 115) negative (n = 286) positive (n = 88) Sperm (× 10 6 ), Mean ± SD 29.89 ± 20.05 38.00 ± 24.06 0.001 30.61 ± 19.87 38.14 ± 25.95 0.022 abnormal morphology (%), Mean ± SD 90.22 ± 9.95 90.32 ± 5.26 0.089 90.55 ± 9.59 89.27 ± 5.26 0.001 TMSC (× 10 6 ), Mean ± SD 17.65 ± 16.42 23.86 ± 21.10 0.004 17.68 ± 16.15 25.67 ± 22.68 0.003 TPMC(× 10 6 ), Mean ± SD 14.00 ± 13.89 20.18 ± 18.63 0.001 14.11 ± 13.72 21.73 ± 20.02 0.001 TMS (% ), Mean ± SD 53.86 ± 23.28 56.18 ± 21.04 0.364 52.79 ± 23.14 60.38 ± 19.83 0.005 TPM (% ), Mean ± SD 40.98 ± 22.11 46.49 ± 19.68 0.029 40.39 ± 21.84 50.09 ± 18.70 0.001 SDFA (% ), Mean ± SD 16.40 ± 6.80 16.73 ± 7.85 0.642 17.23 ± 7.63 14.15 ± 4.46 0.001 SD: standard deviation, TMSC: total motile sperm count, TPMC: total progressive motility count, TMS: total motile sperm, TPM: total progressive motility, SDFA: sperm DNA fragmentation assay *Mann-Whitney U, Pvalue less 0.05 was considered significant Table 5 Comparison of sperm characteristics in abortion and live birth participants Variables live birth Pvalue* Abortion Pvalue* negative (n = 320) positive (n = 54) negative (n = 356) positive (n = 18) Sperm, Mean ± SD 31.90 ± 21.65 35.22 ± 21.70 0.224 32.35 ± 21.53 33.00 ± 24.65 0.906 abnormal morphology (%), Mean ± SD 90.34 ± 9.10 89.69 ± 6.54 0.184 90.42 ± 8.40 86.78 ± 14.26 0.276 TMSC (× 10 6 ), Mean ± SD 19.19 ± 18.19 21.77 ± 18.19 0.167 19.42 ± 17.89 22.40 ± 23.78 0.796 TPMC(× 10 6 ), Mean ± SD 15.53 ± 15.71 18.08 ± 15.91 0.136 15.76 ± 15.46 18.65 ± 20.84 0.723 TMSC (% ), Mean ± SD 54.24 ± 22.80 56.56 ± 21.55 0.482 54.46 ± 22.45 56.78 ± 26.24 0.598 TPMC (% ), Mean ± SD 42.11 ± 21.61 46.04 ± 20.81 0.163 42.50 ± 21.44 46.06 ± 23.34 0.504 SDFA (% ), Mean ± SD 16.66 ± 7.34 16.59 ± 5.76 0.310 16.52 ± 7.17 16.23 ± 6.60 0.970 SD: standard deviation, TMSC: total motile sperm count, TPMC: total progressive motility count, TMS: total motile sperm, TPM: total progressive motility, SDFA: sperm DNA fragmentation assay *Mann-Whitney U, Pvalue less 0.05 was considered significant Table 6 logistic regression analysis to prediction of clinical pregnancy in participants Variables B P value OR 95%CI Lower Upper man age .046 .253 1.047 .968 1.132 Female age .028 .519 1.028 .944 1.120 duration of marriage (years) − .760 .001 .468 .348 .629 Infertility kind Secondary Primary 1.421 .013 4.142 1.350 12.708 Infertility duration − .068 .150 .934 .851 1.025 Infertility Origin mixed male 1.239 .053 3.452 .982 12.127 female 3.519 .001 33.761 8.461 134.706 varicocele positive negative 1.943 .001 6.980 2.234 21.807 Testicular surgery negative positive .891 .201 2.439 .621 9.569 IUI history twice IUI once time IUI .755 .909 1.040 .528 2.052 Gonadotropin drugs Letrozole Clomiphene 1.670 .001 5.313 2.440 11.568 Sperm count − .032 .171 .969 .926 1.014 abnormal morphology .013 .530 1.014 .972 1.057 TPMC (%) .115 .232 1.122 .929 1.354 TMSC (%) − .067 .481 .935 .776 1.127 SDFA (%) − .112 .007 .894 .824 .970 Table 7 Sensitivity and Specificity of TPMC and TMSC with live birth and clinical pregnancy in participants Variables AUC* Pvalue Cutoff value Sensitivity Specificity live birth TPMC (%) 0.559 0.156 50.50% 0.426 0.653 TMSC (%) 0.530 0.470 51.50% 0.648 0.397 clinical pregnancy TPMC (%) 0.628 0.001 50.0% 0.466 0.675 TMSC (%) 0.598 0.003 51.50% 0.705 0.580 *Area Under the ROC Curve Table 8 live birth and clinical pregnancy in TPMC and TMSC groups Variables Group 1 Group 2 Group 3 Group 4 Total TPMC (× 10 6 ) < 1 1-4.9 5-9.9 ≥ 10 Clinical pregnancy, n (%) 4 (4.5) 5 (5.7) 24 (27.3) 55 (62.5) 88 (100) Live birth, n (%) 1 (1.9) 10 (18.5) 10 (18.5) 33 (61.1) 54 (100) TMSC (× 10 6 ) < 1 1-4.9 5-9.9 ≥ 10 Clinical pregnancy, n (%) 4 (4.5) 5 (5.7) 14 (15.9) 65 (73.9) 88 (100) Live birth, n (%) 1 (1.9) 7 (13.0) 11 (20.4) 35 (64.8) 54 (100) Additional Declarations No competing interests reported. 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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-5730261","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":436334155,"identity":"34ce3aa0-521b-4273-b783-c9ca15dd705d","order_by":0,"name":"Zahra Kaveh","email":"","orcid":"","institution":"Tehran university of medical science","correspondingAuthor":false,"prefix":"","firstName":"Zahra","middleName":"","lastName":"Kaveh","suffix":""},{"id":436334156,"identity":"2798b4a8-feeb-43dd-ab09-6943a72f91c6","order_by":1,"name":"Fatemeh davari Tanha","email":"","orcid":"","institution":"IVF Unit- OB\u0026 GYN Department Yas Complex hospital, Tehran University of medical sciences . Tehran","correspondingAuthor":false,"prefix":"","firstName":"Fatemeh","middleName":"davari","lastName":"Tanha","suffix":""},{"id":436334157,"identity":"35c682b8-a1e2-4788-87b5-c2cc3466fe77","order_by":2,"name":"Mahbod Ebrahimi","email":"","orcid":"","institution":"IVF Unit- OB\u0026 GYN Department Yas Complex hospital, Tehran University of medical sciences . Tehran","correspondingAuthor":false,"prefix":"","firstName":"Mahbod","middleName":"","lastName":"Ebrahimi","suffix":""},{"id":436334158,"identity":"f2f69def-7f4b-4de4-ba07-86f3a86f898b","order_by":3,"name":"Sara Lotfi","email":"","orcid":"","institution":"school of medicine","correspondingAuthor":false,"prefix":"","firstName":"Sara","middleName":"","lastName":"Lotfi","suffix":""},{"id":436334159,"identity":"7363c4e0-d3f5-47e6-94aa-0fc80486541c","order_by":4,"name":"Elham Rashidi","email":"","orcid":"","institution":"OB\u0026 GYN Department Yas Complex hospital, Tehran University of medical sciences","correspondingAuthor":false,"prefix":"","firstName":"Elham","middleName":"","lastName":"Rashidi","suffix":""},{"id":436334160,"identity":"2a4b3bf6-e9aa-451c-a7e8-bb59f334b0ee","order_by":5,"name":"Elham Feizabad","email":"","orcid":"","institution":"Tehran University of Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"Elham","middleName":"","lastName":"Feizabad","suffix":""},{"id":436334161,"identity":"39ad85f2-7204-4d83-9d22-c45d37d4b0ad","order_by":6,"name":"Samaneh Etesami","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA2UlEQVRIiWNgGAWjYBAC+wYwJVE/nx3EMrAgrMWADaKFcWPPARBXgmgtDIwNNxLAeonQIt98+MPPHAtmxpnPr274USDBwN/enYBXiz0bW5pk7zYJNnbpnLKbPUCHSZw5u4GAw3jMGHi3SfAwzs5Ju8ED1GIgkUtIC//nj3+3SUgw3DyTdvMPcVp4GKSBthgw3GA/dptIW9LMpGW3SSQY9uSw3ZYxkOAh6Bf75sOPP77dVpcgz3782c03f2zk+Nt78WtBAjwGYJJY5SDA/oAU1aNgFIyCUTCCAAC5Y0Je9zfCxwAAAABJRU5ErkJggg==","orcid":"","institution":"OB\u0026 GYN Department Yas Complex hospital, Tehran University of medical sciences","correspondingAuthor":true,"prefix":"","firstName":"Samaneh","middleName":"","lastName":"Etesami","suffix":""}],"badges":[],"createdAt":"2024-12-29 13:53:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5730261/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5730261/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":79747957,"identity":"55ba2403-b178-4514-a41c-cfeca5cbbf7c","added_by":"auto","created_at":"2025-04-02 09:03:54","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":44911,"visible":true,"origin":"","legend":"\u003cp\u003eROC curve of TPMCs and TMSCs with and live birth (A) clinical pregnancy (B) in participants\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5730261/v1/63307954c73b6ae423b764d5.png"},{"id":84562543,"identity":"fdf3f140-1a4b-4802-b03b-4933ed37345a","added_by":"auto","created_at":"2025-06-13 13:24:04","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":947971,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5730261/v1/786066b7-ada0-402d-87e2-2d2f89002a7c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eTotal Progressive Motility Count as a Predictor of Clinical Pregnancy in Intrauterine Insemination: A Prospective Cohort Study\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eInfertility is commonly characterized by the inability to achieve pregnancy following one year of unprotected intercourse. Nonetheless, over fifty percent of couples undergoing infertility evaluations will achieve conception within 2 to 3 years, either spontaneously or with the aid of interventions such as IUI or IVF, ultimately resulting in a successful pregnancy.(\u003cspan additionalcitationids=\"CR2\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eIntrauterine insemination (IUI) is a method that has been used for years in the treatment of infertile couples. The IUI method is the first reference assisted reproductive technique in mild to moderate male infertility, which is a non-invasive, much simpler and cheaper method than classical in vitro fertilization and intracytoplasmic sperm injection (ICSI). The success of IUI depends on many factors such as drugs, time and number of cycles and the total number of motile sperm after washing. Another important factor affecting the success of IUI is the number of motile sperm entering the uterus (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eTotal motile sperm count (TMC) or total progressive motile sperm count (TPMC), which is more accurate, can be used as a method to evaluate the severity of male infertility; it can express information about the volume of semen and the concentration of sperm and its progressive mobility. Studies show that men with lower TPMC have lower pregnancy rates. Also, TPMC has a better correlation with normal pregnancy rate and IUI success than other sperm parameters (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e, \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). TPMC can be measured before and after sperm preparation. IUI is less successful when the total number of inseminated motile spermatozoa is low and the morphology after washing is poor (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). In patients with mild male factor infertility, if the TPMC before washing is above 75\u0026nbsp;million and the TPMC after washing is above 65\u0026nbsp;million, we can expect a clinical pregnancy above 10%. However, in infertile patients with an unknown cause, this value is less than 10% (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eThe present study was conducted with the aim of determining the effect of total progressive motile sperm count on the rate of live births (LBR) in assisted reproductive technology IUI.\u003c/p\u003e"},{"header":"Materials and Methods","content":"\u003cp\u003eThis prospective cohort study was conducted during May 2022 to May 2023 at Yas Hospital Complex of Tehran University of Medical Sciences, Iran on infertile couples who were referred to this center for IUI. After this study, the ethics committee of the university also obtained written consent from the couples to participate in the study; mothers less than 43 years old who were able to perform autologous IUI cycles and NMSI more than 1\u0026nbsp;million participated in the study. Before performing IUI, assessments of the need to obtain descriptions and examinations, including the current blood profile, were performed. Transvaginal ultrasound was performed between days 1 and 5 of the menstrual cycle, and hysterosalpingography between days 7 and 14 of the menstrual cycle. Sperm analysis, according to WHO recommendations, was performed for all couples.\u003c/p\u003e \u003cp\u003eIUI was performed after ovarian stimulation with one of the classic protocols, or stimulation with gonadotropin or stimulation with a combination of gonadotropin and clomiphene citrate. Clomiphene citrate was prescribed for women with anovulatory problems at a dose of 50 to 100 mg from day 2 to 7 of the cycle. If at least one follicle\u0026thinsp;\u0026ge;\u0026thinsp;16 mm and endometrium\u0026thinsp;\u0026ge;\u0026thinsp;7 mm, ovulation was performed with gonadotropin. Gonadotropin was used only in cases where the ovulatory movement did not respond to clomiphene citrate. The patient's history determines the dosage of the drug, and in cases with no ovulation, treatment is prescribed on days 2 or 3 of the cycle and on days 4 to 7 in patients with a regular cycle. All cycle\u0026rsquo;s with \u0026ge;\u0026thinsp;5 mature follicles were reduced, and in cases with more than three follicles, the risk of multiple births was examined for the continuation of the cycle with couples. Patients were monitored using ultrasound and blood levels of LH, estradiol, and progesterone.\u003c/p\u003e \u003cp\u003eSperm was prepared by the swim-up method. After liquefaction of the sperm in 3\u0026ndash;5 ml of the medium that reached the temperature of 37 degrees, it was centrifuged for 10 minutes at a speed of 600 g, and then it was dissolved in 3\u0026ndash;5 ml of the same medium at 37 degrees for 3 minutes at a speed of 600 g was centrifuged. Then approximately 1 ml of medium two material incubated at 37\u0026deg; is added to the created, and the result is incubated for at least 1 hour at 37\u0026deg; until motile spermatozoa migrate to the surface. The supernatant was centrifuged at 600 g for 5 minutes and added to 0.3 ml of medium 2. Then, according to the WHO order, the amount of sperm was measured and the number of motile sperm inseminated (NMSI) was determined.\u003c/p\u003e \u003cp\u003eIUI will be done within 26 to 36 hours after ovulation using a catheter. The luteal phase is supported with the help of vaginal progesterone twice a day or oral duphaston tablets twice a day from the day of IUI. It will continue for five weeks until the ultrasound confirms the pregnancy. Quantitative measurement of βhCG is performed 15 days after IUI, and if it is higher than 100 IU/mL, it will be considered positive. In the continuation of the pregnancy, it will be confirmed with the help of ultrasound by observing the amniotic sac and the heart activity of the fetus. A live birth is when a baby is born with signs of life after 20 weeks of pregnancy.\u003c/p\u003e \u003cp\u003eQualitative variables were tested using a one-sample Kolmogorov\u0026ndash;Smirnov test to confirm normality. Categorical data were assessed by χ2 test or Fisher\u0026rsquo;s exact test as appropriate. Non-normality distribution data was analysed by a non-parametric test (Mann-Whitney U test and Kruskal-Wallis test). Binary logistic regression was performed to gain associated factors with clinical pregnancy. Receiver operating characteristic (ROC) curves were calculated to determine the predictive value between TPMSC and the clinical pregnancy and live birth. A p value of \u0026lt;\u0026thinsp;0.05 was considered statistically significant. IBM SPSS Statistics V.22 was used to analyse data.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was officially registered as a research project with the Ethics Committee of Tehran University of Medical Sciences (IR.TUMS.MEDICINE.REC.1401.190). Before participation, comprehensive explanations were provided to all potential participants about the study\u0026apos;s objectives, procedures, and potential risks. After receiving this information, written informed consent was obtained from each patient who agreed to participate. Significantly, no fees were charged to patients involved in the study. At any stage, participants were free to withdraw if they no longer wished to continue, and all necessary treatment and care measures were upheld to support their well-being. All ethical considerations were rigorously adhered to throughout the research process, ensuring the confidentiality and privacy of patient information, along with other pertinent ethical issues.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eIn this study, 374 cases underwent 581 IUI cycles. Semen samples were taken fresh from spouses and frozen samples were not used. None of the participants dropped out during the study.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eDemographic characteristics of the patients are shown in Table 1. Sperm measurements are shown in Table 2. In examining the results of IUI, chemical pregnancy was 30.7%, clinical pregnancy was 23.5%, miscarriage was 4.8%, ectopic pregnancy was 3.2%, and live birth was 14.4% (Table 3). In the analysis of meaning groups based on the specified pregnancy in cases of chemical pregnancy, the two factors of sperm count and TPMC were statistically higher than in cases of no chemical pregnancy. In cases of clinical pregnancy, sperm count, TPMS, and TMSC were significantly higher, and abnormal morphology and SDFA were significantly lower than in cases of no clinical pregnancy (Table 4). In cases of abortion and live birth, there was no statistically significant difference in sperm indices between groups (Table 5).\u003c/p\u003e\n\u003cp\u003eThe logistic regression analysis results indicate that a shorter duration of marriage, primary infertility, infertility origin include male or female, no varicocele, clomiphene consumption and decreased SDFA are all associated with an increased likelihood of achieving clinical pregnancy. In contrast, long duration of marriage, secondary\u0026nbsp;infertility, mixed infertility, varicocele, letrozole consumption and higher SDFA causes lower the possibility of pregnancy. In the logistic regression analysis of live births, none of the studied changes had a significant effect (Table 6).\u003c/p\u003e\n\u003cp\u003eROC curve was performed on participants to determine the predictive value of TPMS and TMSC in clinical pregnancy and live birth (Figure 1). The obtained data showed that TPMS and TMSC have predictive value in clinical pregnancy. The level under the curve for clinical pregnancy was 0.628 for TPMC and 0.598 for TMSC. Based on the cutoff value of 50% for TPMC, the specificity was 46%, and the specificity was 67% for clinical pregnancy. Also, the specificity and specificity of TMSC in the cutoff value of 51.50% for clinical pregnancy were 70% and 58%, respectively (Table 7). Table 8 comprehensively summarizes the live births and clinical pregnancies within the TPMC and TMSC groups. The data distinctly illustrates a progressive increase in the number and percentage of live births and clinical pregnancies as the quantity within the respective groups escalates.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe success rate of natural or medicated intrauterine insemination (IUI) cycles in couple infertility varies. The success rate usually ranges from 10\u0026ndash;20% per turn. The question of the probability of success of assisted reproductive methods such as IUI is always raised by couples. In IUI, there are fewer risks and costs compared to in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI), but the live birth rate is lower. In the conducted studies, several variables have been investigated in terms of increasing the probability of pregnancy in the method, including the type of infertility, the causes of infertility, characteristic\u0026rsquo;s sperm and related factors (\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eNumerous research studies have delved into the association between total motile sperm count (TMSC) and pregnancy outcomes within the context of Intrauterine Insemination (IUI). In a retrospective analysis conducted by Akhil Muthigi et al. (\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e), the clinical pregnancy rate was examined for each IUI cycle. The findings revealed a noteworthy correlation between higher TMSC levels and heightened clinical pregnancy rates. Additionally, the study observed a consistent linear decline in the clinical pregnancy rate as TMSC decreased. For instance, the clinical pregnancy rate stood at 16% when the TMSC was measured at 9\u0026nbsp;million, whereas it diminished to approximately 4% when the TMSC was less than 250 thousand.\u003c/p\u003e\u003cp\u003eThe primary objective of the IUI method is the precise selection of motile sperm with suitable quality, characterized by TMSC and TPMC indices, followed by the transfer of the selected sperm into the uterine cavity. Limited research has been conducted on the association between TMSC and TPMC with clinical pregnancies and live births. Orkun Tan et al.'s study (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e) revealed that TPMSC is an independent predictor of pregnancy, alongside women's age and type of ovarian stimulation. At the same time, other seminal parameters did not exhibit significant predictive capability for pregnancy. The current study's findings support that TMSC and TPMC indices are meaningful predictors of clinical pregnancy, consistent with similar studies (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn a study by Laka Dinelli et al. (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e) concerning the prediction of pregnancy following Intrauterine Insemination (IUI), it was observed that the pregnancy rate is higher when Total Motile Sperm Count (TPMSC) exceeds 1\u0026nbsp;million compared to when it is less than 1\u0026nbsp;million. These findings align with the results of the present study. In Dinelli et al.'s study, TPMSC was assessed as a qualitative index divided into two groups: below 1\u0026nbsp;million and above 1\u0026nbsp;million. Conversely, in the study by Orkun Tan et al. (\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e), TPMSC was categorized into five groups, revealing that values surpassing 0.5\u0026nbsp;million offer a greater likelihood of pregnancy than values below 0.5\u0026nbsp;million. Our ongoing research has uncovered a positive correlation between an elevated TPMC value and an increased likelihood of achieving a clinical pregnancy. Preliminary findings suggest that a higher TPMS value may potentially indicate fertility and successful pregnancy outcomes.\u003c/p\u003e\u003cp\u003eTo determine the cut-off level for the predictive value of TPMSC, Bollendorf et al. (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e) set a threshold value of 2\u0026nbsp;million inseminated rapidly progressing sperm to obtain a satisfactory pregnancy rate. However, in the study of Elvan Koyun Ok et al. (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e), the value was 10\u0026nbsp;million. For TPMSC, after washing, they determined a useful threshold value for IUI success.\u003c/p\u003e\u003cp\u003eIn the study of Haiyan Lin et al. (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e), the sensitivity and specificity of TMSC and TPMC indices in predicting clinical pregnancies at the cut-off of 55\u0026nbsp;million were 50% and 86.5%, respectively. In the present study, the sensitivity and specificity at the cut-off of 50% were 70% and 58%, respectively, for the TMSC index and 46% and 67%, respectively, for TPMC. Differences in cut-off values ​​in different studies have caused differences in sensitivity and specificity.\u003c/p\u003e\u003cp\u003e\u003cb\u003eLimitation\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe study has several limitations that warrant consideration:\u003c/p\u003e\u003cp\u003e\u0026bull; Relatively Low Specificity and Sensitivity of TPMC and TMSC as Predictive Markers: The findings indicate that the specificity and sensitivity of Total Progressive Motile Count (TPMC) and Total Motile Sperm Count (TMSC) as standalone predictive markers are relatively low. This reduces their clinical utility and underscores the need for additional biomarkers or integrated models to enhance predictive accuracy.\u003c/p\u003e\u003cp\u003e\u0026bull; Lack of Adjustment for Certain Confounding Factors: Key confounding factors such as maternal BMI, endometrial thickness, and prior pregnancy history were not accounted for in the analysis. These variables may impact the study outcomes, and future research should incorporate them to strengthen the robustness of the findings.\u003c/p\u003e\u003cp\u003e\u0026bull; Single-Center Nature of the Study: The study\u0026rsquo;s single-center design limits the generalizability of the results to a wider population. Conducting multi-center studies with diverse patient groups is suggested to validate the findings and improve their broader applicability.\u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eThe study results indicated that both the Total Motile Sperm Count (TMSC) and Total Progressive Motile Sperm Count (TPMC) indices significantly contributed to accurately predicting the outcomes of Intrauterine Insemination (IUI) with a high degree of precision. Notably, TPMC was identified as a significant predictor of clinical pregnancy and live birth rates in IUI procedures\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe want to thank all the patients and their families who participated in this study, as it would not have been possible without their cooperation and trust. We would also like to thank the medical staff of Yas Complex Hospital, especially the staff of the IVF and OB \u0026amp; GYN departments, for their support and guidance throughout the study. We would also like to thank the Vali Asr Reproductive Health Research Center staff and the Family Health Research Institute for their valuable assistance and cooperation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors have obtained consent for publication from all individuals whose personal data is included in this study. All participants were informed about the purpose of the study and provided written consent prior to inclusion.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of Data and Material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request. All relevant data are within the paper and its supplementary information files.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting Interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests related to this study. There are no financial or personal relationships that could influence the work reported in this paper.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that no funding was received for this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contribution\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eZahra Kaveh: As a medical student, she may have assisted in data collection, conducted literature reviews, or contributed to drafting sections of the paper.Fatemeh Davari Tanha: As an MD in the IVF unit, she likely contributed expertise in obstetrics and gynecology, overseeing clinical aspects of the research related to reproductive health.Mahbod Ebrahimi: Also an MD in the IVF unit, he may have collaborated on clinical assessments and contributed to the analysis and interpretation of results.Sara Lotfi: As an MD in obstetrics and gynecology, she could have contributed to the clinical research aspect, bringing insights from her work in Qom.Elham Rashidi: Her MD background in OB\u0026amp; GYN might indicate she played a role in clinical evaluations and contributing to the writing and methodology sections.Elham Feizabad: Being part of the Vali-E-Asr Reproductive Health Research Center, she may have contributed data analysis or conducted specific research inquiries into reproductive health topics.Samaneh Etesami (Corresponding Author): As the corresponding author, she likely coordinated the research project, liaised with other authors, and ensured the manuscript met publication standards.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eDiagnostic evaluation of the infertile male: a committee opinion. Fertility and sterility. 2015;103(3):e18-25.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBarratt CLR, Bj\u0026ouml;rndahl L, De Jonge CJ, Lamb DJ, Osorio Martini F, McLachlan R, et al. The diagnosis of male infertility: an analysis of the evidence to support the development of global WHO guidance-challenges and future research opportunities. Human reproduction update. 2017;23(6):660\u0026ndash;80.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBuck Louis GM, Sundaram R, Schisterman EF, Sweeney A, Lynch CD, Kim S, et al. Semen quality and time to pregnancy: the Longitudinal Investigation of Fertility and the Environment Study. Fertility and sterility. 2014;101(2):453\u0026ndash;62.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMollaahmadi L, Keramat A, Ghiasi A, Hashemzadeh M. The relationship between semen parameters in processed and unprocessed semen with intrauterine insemination success rates. Journal of the Turkish German Gynecological Association. 2019;20(1):1\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDahan MH, Tan SL, Nair S, Feinberg Isaacs T. An Analysis of pre and post-Processing Semen Parameters at The Time of Intrauterine Insemination; and The Confounding Effects of Total Motile Sperm Counts on Pregnancy Outcome: A Prospective Cohort Study. International journal of fertility \u0026amp; sterility. 2023;18(1):20\u0026ndash;5.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eVogiatzi P, Pouliakis A, Sakellariou M, Athanasiou A, Athanasiou A, Colaghis A, et al. Male Age and Progressive Sperm Motility Are Critical Factors Affecting Embryological and Clinical Outcomes in Oocyte Donor ICSI Cycles. Reproductive sciences (Thousand Oaks, Calif). 2022;29(3):883\u0026ndash;95.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eJeong M, Kim SK, Kim H, Lee JR, Jee BC, Kim SH. Predictive value of sperm motility before and after preparation for the pregnancy outcomes of intrauterine insemination. Clinical and experimental reproductive medicine. 2021;48(3):255\u0026ndash;61.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLin H, Li Y, Ou S, Jiao X, Wang W, Humaidan P, et al. Role of the total progressive motile sperm count (TPMSC) in different infertility factors in IUI: a retrospective cohort study. BMJ open. 2021;11(2):e040563.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCostello MF. Systematic review of the treatment of ovulatory infertility with clomiphene citrate and intrauterine insemination. The Australian \u0026amp; New Zealand journal of obstetrics \u0026amp; gynaecology. 2004;44(2):93\u0026ndash;102.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRandall GW, Gantt PA. Intrauterine insemination results in couples requiring extended semen transport time. International journal of fertility and women's medicine. 2007;52(1):28\u0026ndash;34.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMuthigi A, Jahandideh S, Bishop LA, Naeemi FK, Shipley SK, O'Brien JE, et al. Clarifying the relationship between total motile sperm counts and intrauterine insemination pregnancy rates. Fertility and sterility. 2021;115(6):1454\u0026ndash;60.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTan O, Ha T, Carr BR, Nakonezny P, Doody KM, Doody KJ. Predictive value of postwashed total progressively motile sperm count using CASA estimates in 6871 non-donor intrauterine insemination cycles. Journal of assisted reproduction and genetics. 2014;31(9):1147\u0026ndash;53.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOsmanlıoğlu Ş, Ş\u0026uuml;k\u0026uuml;r YE, Tokg\u0026ouml;z VY, \u0026Ouml;zmen B, S\u0026ouml;nmezer M, Berker B, et al. Intrauterine insemination with ovarian stimulation is a successful step prior to assisted reproductive technology for couples with unexplained infertility. Journal of obstetrics and gynaecology: the journal of the Institute of Obstetrics and Gynaecology. 2022;42(3):472\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDinelli L, Courbi\u0026egrave;re B, Achard V, Jouve E, Deveze C, Gnisci A, et al. Prognosis factors of pregnancy after intrauterine insemination with the husband's sperm: conclusions of an analysis of 2,019 cycles. Fertility and sterility. 2014;101(4):994\u0026ndash;1000.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBollendorf A, Check JH, Lurie D. Evaluation of the effect of the absence of sperm with rapid and linear progressive motility on subsequent pregnancy rates following intrauterine insemination or in vitro fertilization. Journal of andrology. 1996;17(5):550\u0026ndash;7.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eOk EK, Doğan OE, Okyay RE, G\u0026uuml;lekli B. The effect of post-wash total progressive motile sperm count and semen volume on pregnancy outcomes in intrauterine insemination cycles: a retrospective study. Journal of the Turkish German Gynecological Association. 2013;14(3):142\u0026ndash;5.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLin H, Li Y, Ou S, Jiao X, Wang W, Haahr T, et al. The relationship of total progressive motile sperm count with the outcome of IUI? An analysis of 5171 cycles. Gynecological endocrinology: the official journal of the International Society of Gynecological Endocrinology. 2022;38(11):954\u0026ndash;9.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cdiv class=\"gridtable\"\u003e\n \u003ctable id=\"Tab1\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eDistribution of demographic characteristics in study participants\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eParticipants\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eN\u0026thinsp;=\u0026thinsp;374\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emother height (cm), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.57\u0026thinsp;\u0026plusmn;\u0026thinsp;162.35\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emother weight, Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.45\u0026thinsp;\u0026plusmn;\u0026thinsp;57.67\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emother Body mass index (kg / m2 ), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.79\u0026thinsp;\u0026plusmn;\u0026thinsp;21.84\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eduration of marriage (years), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.66\u0026thinsp;\u0026plusmn;\u0026thinsp;3.58\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eman\u0026rsquo;s age (years), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6.32\u0026thinsp;\u0026plusmn;\u0026thinsp;37.46\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFemale\u0026rsquo;s age (years), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5.58\u0026thinsp;\u0026plusmn;\u0026thinsp;34.11\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eInfertility duration (years), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.22\u0026thinsp;\u0026plusmn;\u0026thinsp;6.68\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eInfertility kind, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eprimary\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e345 (92.2)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003esecondary\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e29 (7.8)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eInfertility Origin, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e138 (36.9)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003efemale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e139 (37.2)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emixed\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e97 (25.9)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eGonadotropin drugs, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLetrozole\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e220 (58.8)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eClomiphene\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e154 (41.2)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVaricocele, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e290 (77.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e84 (22.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTesticular surgery history, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e331 (88.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e43 (11.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eIUI history, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eonce time IUI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e167 (44.7)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003etwice IUI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e207 (55.3)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\"\u003eSD: standard deviation\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003e\u003cimg 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\" width=\"670\" height=\"258\"\u003e\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab3\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eDistribution of outcome of IUI in study participants\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eParticipants\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003eN\u0026thinsp;=\u0026thinsp;374\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eBeta-hCG, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e259 (69.3)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e115 (30.7)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eGestational sac, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e286 (76.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e88 (23.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAbortion, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e356 (95.2)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e18 (4.8)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eEctopic pregnancy, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e362 (96.8)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e12 (3.2)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLive birth Rate, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e320 (85.6)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e54 (14.4)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"3\"\u003eBeta-hCG: Beta-Human Chorionic Gonadotropin\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab4\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eComparison of sperm characteristics in the chemical and clinical pregnant participants\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eChemical Pregnancy\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePvalue*\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eClinical Pregnancy\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePvalue*\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;259)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;115)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;286)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;88)\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSperm (\u0026times; 10\u003csup\u003e6\u003c/sup\u003e), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e29.89\u0026thinsp;\u0026plusmn;\u0026thinsp;20.05\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e38.00\u0026thinsp;\u0026plusmn;\u0026thinsp;24.06\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e30.61\u0026thinsp;\u0026plusmn;\u0026thinsp;19.87\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e38.14\u0026thinsp;\u0026plusmn;\u0026thinsp;25.95\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.022\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eabnormal morphology (%), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e90.22\u0026thinsp;\u0026plusmn;\u0026thinsp;9.95\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e90.32\u0026thinsp;\u0026plusmn;\u0026thinsp;5.26\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.089\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e90.55\u0026thinsp;\u0026plusmn;\u0026thinsp;9.59\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e89.27\u0026thinsp;\u0026plusmn;\u0026thinsp;5.26\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMSC (\u0026times; 10\u003csup\u003e6\u003c/sup\u003e), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e17.65\u0026thinsp;\u0026plusmn;\u0026thinsp;16.42\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e23.86\u0026thinsp;\u0026plusmn;\u0026thinsp;21.10\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.004\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e17.68\u0026thinsp;\u0026plusmn;\u0026thinsp;16.15\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e25.67\u0026thinsp;\u0026plusmn;\u0026thinsp;22.68\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.003\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPMC(\u0026times; 10\u003csup\u003e6\u003c/sup\u003e), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e14.00\u0026thinsp;\u0026plusmn;\u0026thinsp;13.89\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e20.18\u0026thinsp;\u0026plusmn;\u0026thinsp;18.63\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e14.11\u0026thinsp;\u0026plusmn;\u0026thinsp;13.72\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e21.73\u0026thinsp;\u0026plusmn;\u0026thinsp;20.02\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMS (% ), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e53.86\u0026thinsp;\u0026plusmn;\u0026thinsp;23.28\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e56.18\u0026thinsp;\u0026plusmn;\u0026thinsp;21.04\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.364\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e52.79\u0026thinsp;\u0026plusmn;\u0026thinsp;23.14\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e60.38\u0026thinsp;\u0026plusmn;\u0026thinsp;19.83\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.005\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPM (% ), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e40.98\u0026thinsp;\u0026plusmn;\u0026thinsp;22.11\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e46.49\u0026thinsp;\u0026plusmn;\u0026thinsp;19.68\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.029\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e40.39\u0026thinsp;\u0026plusmn;\u0026thinsp;21.84\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e50.09\u0026thinsp;\u0026plusmn;\u0026thinsp;18.70\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSDFA (% ), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16.40\u0026thinsp;\u0026plusmn;\u0026thinsp;6.80\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16.73\u0026thinsp;\u0026plusmn;\u0026thinsp;7.85\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.642\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e17.23\u0026thinsp;\u0026plusmn;\u0026thinsp;7.63\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e14.15\u0026thinsp;\u0026plusmn;\u0026thinsp;4.46\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\"\u003eSD: standard deviation, TMSC: total motile sperm count, TPMC: total progressive motility count, TMS: total motile sperm, TPM: total progressive motility, SDFA: sperm DNA fragmentation assay\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\"\u003e*Mann-Whitney U, Pvalue less 0.05 was considered significant\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab5\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eComparison of sperm characteristics in abortion and live birth participants\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003elive birth\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePvalue*\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAbortion\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePvalue*\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;320)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;54)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;356)\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003cdiv class=\"SimplePara\"\u003e(n\u0026thinsp;=\u0026thinsp;18)\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSperm, Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e31.90\u0026thinsp;\u0026plusmn;\u0026thinsp;21.65\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e35.22\u0026thinsp;\u0026plusmn;\u0026thinsp;21.70\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.224\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e32.35\u0026thinsp;\u0026plusmn;\u0026thinsp;21.53\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e33.00\u0026thinsp;\u0026plusmn;\u0026thinsp;24.65\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.906\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eabnormal morphology (%), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e90.34\u0026thinsp;\u0026plusmn;\u0026thinsp;9.10\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e89.69\u0026thinsp;\u0026plusmn;\u0026thinsp;6.54\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.184\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e90.42\u0026thinsp;\u0026plusmn;\u0026thinsp;8.40\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e86.78\u0026thinsp;\u0026plusmn;\u0026thinsp;14.26\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.276\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMSC (\u0026times; 10\u003csup\u003e6\u003c/sup\u003e), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e19.19\u0026thinsp;\u0026plusmn;\u0026thinsp;18.19\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e21.77\u0026thinsp;\u0026plusmn;\u0026thinsp;18.19\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.167\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e19.42\u0026thinsp;\u0026plusmn;\u0026thinsp;17.89\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e22.40\u0026thinsp;\u0026plusmn;\u0026thinsp;23.78\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.796\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPMC(\u0026times; 10\u003csup\u003e6\u003c/sup\u003e), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e15.53\u0026thinsp;\u0026plusmn;\u0026thinsp;15.71\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e18.08\u0026thinsp;\u0026plusmn;\u0026thinsp;15.91\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.136\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e15.76\u0026thinsp;\u0026plusmn;\u0026thinsp;15.46\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e18.65\u0026thinsp;\u0026plusmn;\u0026thinsp;20.84\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.723\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMSC (% ), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e54.24\u0026thinsp;\u0026plusmn;\u0026thinsp;22.80\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e56.56\u0026thinsp;\u0026plusmn;\u0026thinsp;21.55\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.482\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e54.46\u0026thinsp;\u0026plusmn;\u0026thinsp;22.45\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e56.78\u0026thinsp;\u0026plusmn;\u0026thinsp;26.24\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.598\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPMC (% ), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e42.11\u0026thinsp;\u0026plusmn;\u0026thinsp;21.61\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e46.04\u0026thinsp;\u0026plusmn;\u0026thinsp;20.81\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.163\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e42.50\u0026thinsp;\u0026plusmn;\u0026thinsp;21.44\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e46.06\u0026thinsp;\u0026plusmn;\u0026thinsp;23.34\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.504\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSDFA (% ), Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16.66\u0026thinsp;\u0026plusmn;\u0026thinsp;7.34\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16.59\u0026thinsp;\u0026plusmn;\u0026thinsp;5.76\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.310\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16.52\u0026thinsp;\u0026plusmn;\u0026thinsp;7.17\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e16.23\u0026thinsp;\u0026plusmn;\u0026thinsp;6.60\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.970\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\"\u003eSD: standard deviation, TMSC: total motile sperm count, TPMC: total progressive motility count, TMS: total motile sperm, TPM: total progressive motility, SDFA: sperm DNA fragmentation assay\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\"\u003e*Mann-Whitney U, Pvalue less 0.05 was considered significant\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab6\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003elogistic regression analysis to prediction of clinical pregnancy in participants\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"2\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eB\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eP value\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eOR\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e95%CI\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLower\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eUpper\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eman age\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.046\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.253\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.047\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.968\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.132\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eFemale age\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.028\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.519\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.028\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.944\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.120\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eduration of marriage (years)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026minus;\u0026thinsp;.760\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.468\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.348\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.629\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eInfertility kind\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSecondary\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePrimary\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.421\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.013\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4.142\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.350\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e12.708\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eInfertility duration\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026minus;\u0026thinsp;.068\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.150\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.934\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.851\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.025\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eInfertility Origin\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emixed\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003emale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.239\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.053\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3.452\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.982\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e12.127\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003efemale\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e3.519\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e33.761\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e8.461\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e134.706\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003evaricocele\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.943\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e6.980\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.234\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e21.807\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTesticular surgery\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003enegative\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003epositive\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.891\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.201\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.439\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.621\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e9.569\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eIUI history\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003etwice IUI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eonce time IUI\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.755\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.909\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.040\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.528\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.052\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eGonadotropin drugs\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLetrozole\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eClomiphene\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.670\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5.313\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e2.440\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e11.568\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSperm count\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026minus;\u0026thinsp;.032\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.171\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.969\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.926\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.014\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eabnormal morphology\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.013\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.530\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.014\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.972\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.057\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPMC (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.115\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.232\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.122\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.929\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.354\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMSC (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026minus;\u0026thinsp;.067\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.481\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.935\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.776\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1.127\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSDFA (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026minus;\u0026thinsp;.112\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.007\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.894\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.824\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e.970\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab7\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSensitivity and Specificity of TPMC and TMSC with live birth and clinical pregnancy in participants\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eAUC*\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003ePvalue\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eCutoff value\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSensitivity\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eSpecificity\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003elive birth\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPMC (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.559\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.156\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e50.50%\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.426\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.653\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMSC (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.530\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.470\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e51.50%\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.648\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.397\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"2\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eclinical pregnancy\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPMC (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.628\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.001\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e50.0%\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.466\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.675\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMSC (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.598\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.003\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e51.50%\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.705\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e0.580\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"7\"\u003e*Area Under the ROC Curve\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable id=\"Tab8\" border=\"1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 8\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cdiv class=\"SimplePara\"\u003elive birth and clinical pregnancy in TPMC and TMSC groups\u003c/div\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eVariables\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eGroup 1\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eGroup 2\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eGroup 3\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eGroup 4\u003c/div\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTotal\u003c/div\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTPMC (\u0026times; 10\u003csup\u003e6\u003c/sup\u003e)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1-4.9\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5-9.9\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026ge;\u0026thinsp;10\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eClinical pregnancy, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4 (4.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5 (5.7)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e24 (27.3)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e55 (62.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e88 (100)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLive birth, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1 (1.9)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e10 (18.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e10 (18.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e33 (61.1)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e54 (100)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eTMSC (\u0026times; 10\u003csup\u003e6\u003c/sup\u003e)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026lt;\u0026thinsp;1\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1-4.9\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5-9.9\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e\u0026ge;\u0026thinsp;10\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\u0026nbsp;\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eClinical pregnancy, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e4 (4.5)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e5 (5.7)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e14 (15.9)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e65 (73.9)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e88 (100)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003eLive birth, n (%)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e1 (1.9)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e7 (13.0)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e11 (20.4)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e35 (64.8)\u003c/div\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cdiv class=\"SimplePara\"\u003e54 (100)\u003c/div\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"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":"Intrauterine insemination, sperm analysis, total motile sperm count, total progressive motile sperm count","lastPublishedDoi":"10.21203/rs.3.rs-5730261/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5730261/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eIntroduction\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eInfertility is the inability to achieve pregnancy after one year of unprotected intercourse. However, over 50% of couples undergoing infertility evaluations will conceive within 2 to 3 years, either naturally or with the help of interventions such as intrauterine insemination or in vitro fertilization, leading to a successful pregnancy. The study aimed to assess the impact of total progressive motile sperm count on the live birth rate in intrauterine insemination (IUI) procedures.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMaterial and Methods\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis prospective cohort study was conducted during 2022–2023 at Yas Hospital Complex of Tehran University of Medical Sciences, Iran on infertile couples who were referred to this center for IUI. Participants were mothers under 43 years old with a sperm count of at least 1\u0026nbsp;million. Ovarian stimulation was conducted using various protocols, and sperm was prepared using the swim-up method. The luteal phase was supported with progesterone, and pregnancies were confirmed through ultrasound and β-hCG measurement.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eIn this study, 374 cases underwent 581 IUI cycles. The clinical pregnancy rate was 23.5%, and the live birth rate was 14.4%. In cases of clinical pregnancy, sperm count, TPMS, and TMSC were significantly higher, and abnormal morphology and SDFA were significantly lower compared to cases with no clinical pregnancy. There was no statistically significant difference in sperm indices between groups in cases of abortion and live birth. Factors such as shorter duration of marriage, primary infertility, infertility origin (male or female), absence of varicocele, clomiphene consumption, and decreased SDFA are all associated with an increased likelihood of achieving clinical pregnancy. The data we obtained indicates that TPMS and TMSC can predict clinical pregnancy. The area under the curve for clinical pregnancy was 0.628 for TPMC and 0.598 for TMSC. When the cutoff value for TPMC was set at 50%, the specificity for clinical pregnancy was 46%, and the sensitivity was 67%. Similarly, for TMSC, at a cutoff value of 51.50% for a clinical pregnancy, the specificity and sensitivity were 70% and 58%, respectively. The data shows that the number and percentage of live births and clinical pregnancies increase as the quantity within the respective groups increases.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe study found that both the total motile sperm count (TMSC) and total progressive motile sperm count (TPMC) was significant factors in predicting the success of Intrauterine Insemination (IUI). TPMC was identified as a significant predictor of clinical pregnancy and live birth rates in IUI procedures\u003c/p\u003e","manuscriptTitle":"Total Progressive Motility Count as a Predictor of Clinical Pregnancy in Intrauterine Insemination: A Prospective Cohort Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-04-02 09:03:50","doi":"10.21203/rs.3.rs-5730261/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":"2170e84f-0228-4d3a-ba3c-9697a5cda2f7","owner":[],"postedDate":"April 2nd, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-07-15T11:08:43+00:00","versionOfRecord":[],"versionCreatedAt":"2025-04-02 09:03:50","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5730261","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5730261","identity":"rs-5730261","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}