Intro
Severe acute respiratory syndrome coronavirus-2
(SARS-CoV-2) is a virus that wreaked havoc in the lives
of millions of people across the world since its appearance
in December 2019. The disease it causes is named
Coronavirus disease-19 (COVID-19). The toll it has taken
on the lives and livelihoods of people in a short timespan
is unparalleled by any other microbiological agent in one
entire century ( 1 ). There is no known effective cure for
the disease caused by SARS-CoV-2 infection. However,
preventive methods have been widely used effectively
( 2 , 3 ). Apart from non-pharmacological measures like
masking, social distancing and handwashing one effective
way to prevent disease severity caused by SARS-CoV2
is vaccination. Vaccination has been proven to reduce
disease severity and deaths caused by the virus ( 4 ).
There were some concerns regarding vaccines amongst
prospective parents that led to initial vaccine hesitancy
( 5 ). One of them was that vaccines may lower fertility. One possible reason cited for this concern was that
a common adverse-effect following vaccination is fever
and that fever in early pregnancy could affect pregnancy
continuation or healthy fetal development. Indeed, phase
1/2 trials and real world studies on different vaccines have
found fever as an adverse effect reported by 25-40% of
recipients after first or second dose vaccine ( 6 ). Also, a
meta-analysis of observational studies, found an association between fever in early pregnancy and fetal neural
tube defects [pooled odds ratio (OR)=2.90, 95% confidence interval (CI)=2.22-3.79] ( 7 ). In this analysis, the
authors found that the risk for fetal adverse congenital
anomalies including neural tube defects, congenital heart
defects and oral clefts was linked to the degree of fever
with temperatures ≥38.9°C for ≥24 hours increasing and
antipyretic ingestion reducing that risk respectively, suggesting that hyperthermia alone may pose an independent
risk apart from the pathogenicity of the offending agent to
the development of congenital anomalies.
However, early studies in mice have not revealed any
detrimental effect of Chimpanzee Adenoviral vector vaccine against SARS-CoV2 developed by Oxford group
(ChAdOx1 nCoV-19) on reproduction or fetal pup toxicity ( 8 ). Also, an interim report published by the CDC
based on its v-safe registry of pregnant women who have
received COVID-19 messenger Ribonucleic Acid vaccines (COVID-19 mRNA vaccine) and reports from 913
vaccinated pregnant women in Israel, found no evidence
of an increase in adverse events amongst women with
completed pregnancies or their offspring ( 9 , 10 ).
The question of whether COVID-19 vaccination could
affect fertility, and not fetal outcomes, however, had not
been addressed through any published study till November 2021, although societies had issued guidelines before
this that fertility concerns are unfounded in the absence
of a plausible explanation ( 11 , 12 ). In the correspondence addressed to the Lancet editor, the authors of the
Oxford Vaccine Development group, sub analysed their
data to look at fertility rates in women who participated in
the phase 3 ChAdOx1 vaccine trial ( 13 ). They found that
spontaneous fertility rate, as measured by spontaneous
conceptions in the trial period, were similar in the controls (n=43) and the test vaccinated group (n=50) with a
fertility rate ratio of 1·14 (0.76-1.71).
Real world natural fertility assessment amongst couples having unprotected regular intercourse might require
an epidemiological study, hence might be expensive and
time-consuming. Fertility could also be assessed as a
measure of success after assisted reproduction. In vitro
fertilization (IVF), a form of assisted reproductive technique, is undertaken routinely at several centres in couples
for various indications like severe male factor infertility,
tubal infertility, severe endometriosis or unexplained infertility. Of all vaccine types, BNT162b2 (mRNA vaccine
developed by Pfizer) is the most researched in IVF populations. In a cohort of 35 consecutive consenting women
undergoing IVF, Bentov et al. ( 14 ), identified COVID 19
IgG antibody from follicular fluid in those who received
mRNA vaccine and in those who were recovering from
COVID 19. But they did not find significant differences
in the outcomes of human chorionic gonadotropin (hCG)
day estrogen and progesterone, follicular fluid progesterone, oocyte numbers or oocyte maturity rates in the three
study arms of those vaccinated (n=9), those recently recovering from COVID 19 infection (n=9) and those unvaccinated and uninfected (n=14). Similarity in IVF stimulation parameters and embryological results were also
seen by Orvieto et al. ( 15 ) when comparing outcomes in
36 individuals in their pre and post BNT162b2 vaccinated
states. Recent publications involving 1583 women by Wu
et al. ( 16 ) exist but are limited by their retrospective nature and the type of vaccine studied, i.e. inactivated COVID-19 vaccination alone.
The study question of whether recent COVD-19 vaccination could alter fertility outcomes can therefore be addressed in women undergoing IVF through a prospective
cohort study involving adequate number of individuals,
accounting for appropriate vaccine types and confounders and studying patient-oriented outcomes. This was our
study objective.
Results
A total of 734 oocyte retrieval cycles took place in the
study duration at the centre of study, of which 617 met the
inclusion criteria. Of these 63 declined to participate and
52 cycles had incomplete information on vaccine data,
leaving a total of 502 OCR cycles, having complete information
available for analysis ( Fig .1 ). Because of repeated
COVID waves (January-February 2022) since study
initiation, screening criteria application and refusal of some
patients to participate, the expected sample size of 712
could not be met.
Participant flowchart showing vaccine status at OCR: VS(OCR) and at
embryo transfer: VS(tr). OCR; Oocyte retrieval, VS(OCR); Vaccine status at
OCR, and VS(tr)=; Vaccine status at embryo transfer
A total of 179 cumulative ongoing pregnancies resulted from 502 oocyte retrieval cycles (35.7%), through a
total of 582 intended embryo transfer cycles (30.7%) in
the study duration. Of these 135 ongoing pregnancies resulted from 472 first transfers (28.6%), 39 from 97 second
transfers (39.8%), 4 from 11 third transfers (36.4%) and 1
from 1 fourth transfer (100%).
Vaccine status (VSOCR) for 502 oocyte retrieval cycles
was no dose=63, 1 dose=87 and ≥2 dose=352. Of those
vaccinated, 71.8% had received ChAdOx1, an adenoviral
vector vaccine manufactured by Astra Zeneca, 20.3% had
received Covaxin, (inactivated whole virion vaccine, manufactured by Bharat Biotech, India) and 7.9% had received
other mRNA vaccines like Pfizer/Moderna. Vaccine status
(VSTr) for 582 transfer cycles was: no dose=66, 1 dose=82
and ≥2 doses=434 ( Table S1 , See Supplementary Online
Information at www.ijfs.ir ). Median time to embryo transfer from last vaccine dose was 146 days (IQR: 80-220).
None of these women were lost to follow up.
The distribution of demographic data and cycle characteristics based on VSOCR are shown in Table 1 . It reveals significant baseline differences in women’s age,
with those receiving no doses being younger than those
receiving 1 or ≥2 dose (31.9 ± 4.6 vs. 33 ± 3.3 vs. 34.3 ±
3.9, P<0.01). This reflected on hCG day mean estradiol
levels (2251 vs. 1830 vs. 1609, P<0.01) and marginally
though insignificantly on total oocyte numbers: 13.1 ±
8.4 vs. 11.4 ± 7.7 vs. 10.9 ± 6.4, P=0.09 (ß=0.27, 95%
CI=-0.65 to 0.89). The mean total utilizable embryos:
2.7 ± 1.8 vs. 2.5 ± 1.9 vs. 2.7 ± 2.0, P=0.78 (ß=0.42, 95%
CI=0.15 to 0.69), and mean oocyte utilization rate: 21.2
± 13.2 vs. 25.1 ± 19.0 vs. 26.7 ± 18.8, P=0.08, (ß=3.94,
95% CI=1.26 to 6.23); in the three cohorts appeared to
increase with increasing vaccine doses. ( Table 2 ). Beta
reflects the unit change in oocyte numbers, total utilizable numbers and total utilization rates with each dose increase in vaccine which although appears to be a change
in a positive direction, but the value appears too small
for it to make a clinical difference. Embryological outcomes based on type Specific Vaccine Status also did not
reveal any significant differences in mean total oocytes,
mean total utilizable embryos or mean oocyte utilization
rate ( Table S2 , See Supplementary Online Information
at www.ijfs.ir ).
Ongoing pregnancy rates per embryo transfer cycle are
shown in Table 3. No significant differences emerged in
the ongoing pregnancy rates (27.3% vs. 24.4% vs. 32.5%,
aOR=1.38, 95% CI=0.3-5.6, P=0.52) or pregnancy loss
rates per embryo transfer cycle (13.6% vs. 13.4% vs.
15.2%, aOR=0.97, 95% CI=0.18-5.2, P=0.97) between
the three cohorts. Cumulative ongoing pregnancy rates
per oocyte retrieval cycle till at least six months from
oocyte retrieval, were also not different based on vaccination status. (36.5% vs. 34.5% vs. 35.5%, aOR=1.53,
95% CI=0.57-4.07, P=0.35). Within the Cohort of ≥1
dose, vaccine type did not influence clinical outcomes
of ongoing clinical pregnancies per embryo transfer cycle or cumulative pregnancies per oocyte retrieval cycle ( Table S3 , See Supplementary Online Information at
www.ijfs.ir ).
To assess the role of time since last vaccine dose on
embryo transfer outcomes, a ROC was established using
time since last vaccine dose till embryo transfer as the
independent variable and ongoing pregnancies as the dependent variable. The ROC revealed a sharp demarcation
at 190 days, roughly corresponding to 6 months, being
non-discriminatory for outcomes above this interval and
rising above the line of no significance for intervals under
this. This suggested that any vaccination effect on embryo
transfer outcomes existed till up to 6 months ( Fig .2 ).
ROC analysis using time since last dose and outcomes of embryo
transfer. A. ROC curve for all time intervals from vaccination to embryo
transfer showing a sharp demarcation at the intersection with the marked
line. This point represents 190 days suggesting that any vaccination
effect on embryo transfer outcomes ceases to exist beyond 190 days. B.
ROC curve showing association between ongoing pregnancies per embryo
transfer with COVID-19 vaccination for intervals <190 days [AUC=0.59
(95% CI=0.54-0.66, P<0.01]. ROC; Receiver operator curve, AUC; Area under curve, and CI; Confidence interval.
Demographic detail and cycle characteristics as per vaccine status at oocyte retrieval (n=502)
Data are presented as mean ± SD or n (%). Significance level or P value calculated by using a; Chi square test for categorical variables, b; One way ANOVA for normally distributed con-
tinuous variables, c; Kruskal Wallis test for non-normally-distributed continuous variables, BMI; Body mass index, AMH; Anti-mullerian hormone, OCR; Oocyte retrieval, COS; Controlled
ovarian stimulation, Gn; Gonadotropin, hMG; Human menopausal gonadotropin, rec; Recombinant, FSH; Follicle stimulating hormone, LH; Luteinizing hormone, hCG; Human chorionic
gonadotropin, GnRH; Gonadotropin releasing hormone agonist, IVF; In vitro fertilization, and ICSI; Intracytoplasmic sperm injection.
Embryological outcomes and cumulative ongoing pregnancy outcomes as per vaccine status at oocyte retrieval (n=502)
Data are presented as mean ± SD or n (%). *; P value is unadjusted and calculated using chi square test for categorical variables and one way ANOVA for continuous variables, a; Oocyte
retrieval cycles resulting in intrauterine viable pregnancy having cardiac activity at or beyond 12 weeks as a result of transfer of one or all embryos formed. Oocyte retrieval cycles that
did not result in an ongoing pregnancy till the study termination date were labelled as 0 and those that did were labelled as 1. The label 0 includes cycles with no utilizable embryos,
cycles with no pregnancy after transfer of all utilizable embryos, cycles with a miscarriage prior to 12 weeks and cycles with embryos continuing to be in storage till study termination, b;
Regression coefficient calculated for continuous outcomes using Linear regression and, c; Odds ratio calculated for binary outcomes using logistic regression. Adjustments have been
made for pre-treatment variables of age, infertility duration, infertility diagnosis, previous pregnancies, BMI, consultant administering treatment, AMH, prior covid infections, vaccine
doses and vaccine type, CI; Confidence interval, BMI; Body mass index, and AMH; Anti-mullerian hormone.
Clinical outcomes as per vaccine status at ET (n=582)
Data are presented as n (%). *; Adjusted odds ratio calculated using Binary Logistic regression after adjusting for age, infertility duration, previous pregnancies, infertility diagnosis,
consultant delivering treatment, BMI, AMH, prior COVID infections, whether fresh or frozen embryo transfer, vaccine type and number of vaccine doses in 582 embryo transfer cycles. CI;
Confidence interval, NA; Not applicable, and ET; Embryo transfe
For intervals <190 days, AUC was significant (0.59,
95% CI=0.54-0.66, P<0.01) suggesting that as time
since vaccine increased from 0-190 days, the ongoing pregnancy results marginally increased ( Table S4 ,
See Supplementary Online Information at www.ijfs.ir ).
The effect was most pronounced for intervals up to 60
days from the last dose of vaccine, with a sensitivity,
specificity, positive predictive value, and negative predictive value for ongoing pregnancy of 89.4, 21, 33.7
and 80.9% respectively. The adjusted OR for ongoing
pregnancy above 60 days was 2.85 (95% CI=1.50-5.46,
P=0.001, Table 4 ).
Effect of demographic and vaccine associated variables on odds of ongoing pregnancy in vaccine exposed embryo transfer cycles (n=516)
*; Logistic regression analysis has been used to calculate adjusted odds of ongoing pregnancy in embryo transfer cycles that had prior vaccine exposure and CI; Confidence interval.
Discussion
This prospective observational cohort study involving 502
IVF cycles, does not find an overall influence of COVID 19
vaccination on IVF outcomes of mean total utilizable embryos and mean oocyte utilization rates, or ongoing pregnancies
and pregnancy losses per embryo transfer cycle or cumulative ongoing pregnancies per oocyte retrieval cycle based on
COVID-19 vaccination status. However, in the vaccinated
cohort, it does show a marginal influence of time elapsed
between last vaccine dose to embryo transfer, with durations
shorter than 60 days tending to lower ongoing pregnancies.
Our study results show that the vaccinated arm and the
unvaccinated cohorts might have a slight difference in
AMH values with the vaccinated arm having lower mean
AMH values than the unvaccinated. We do not believe that
vaccination affected or lowered their ovarian reserve since,
existing studies have unequivocally shown that COVID-19
vaccination does not influence ovarian reserve as seen
through AMH testing three months to one year after vaccination ( 18 , 19 ). In our study, the difference in AMH between cohorts is accounted for by a difference in women’s
mean age. As to why the vaccinated arm was marginally
older than the unvaccinated arm could be explained either
as a chance finding or perhaps that the younger women either did not have early access to vaccines due to limited
initial vaccine availability ( 20 ) or that they did not feel the
need to get vaccinated early on because of the perception of
milder COVID disease in the younger population.
Our study results also demonstrate that despite being older
and having lower ovarian reserve, parameters that significantly influence cumulative ongoing pregnancies in IVF,
both the vaccinated cohorts continued to have similar ongoing pregnancy rates as the unvaccinated cohort. This finding
although contradictory to conventional wisdom, can be explained by the fact that vaccinated individuals can be considered to have greater protection from SARS CoV-2 viral
transmission and manifestation of severe disease. Unvaccinated individuals, unless previously exposed to the virus, do
not have that protection and hence likely to contract the virus
leading to cytokine release, activation of cellular and humoral
immunity, and development of fever, factors that negatively
influence embryo implantation and miscarriages ( 21 ). Based
on this premise, the expectation is that, during the pandemic
with ongoing susceptibility to new infections, unvaccinated
individuals should either have a similar or lower implantation
rate than the vaccinated individuals. But the opposing effect
of younger age and higher AMH in the unvaccinated cohort,
perhaps neutralizes that effect in our study.
Our results that embryological and clinical outcomes are
not affected by COVID-19 vaccination are similar to the
study by Wu et al. ( 16 ) but different from those reported by
Chen et al. ( 22 ).
Wu et al. ( 16 ), in a retrospective study, compared IVF
outcomes in 240 women vaccinated with either Corona-
Vac or Sinopharm before ovarian stimulation with 1343
unvaccinated women. Linear regression analysis revealed that the number of oocytes retrieved (regression
coefficient (B)=-0.299, P=0.264), embryos suitable for
transfer (B=-0.203, P=0.127) and blastocysts (B=-0.250,
P=0.105) were not associated with the status of vaccination before ovarian stimulation, after adjusting for confounders. The ongoing pregnancy rate in women of the
vaccinated group was also not significantly lower than
that in the unvaccinated group (36.3 vs. 40.7%, P=0.199)
(adjusted OR=0.91, 95% CI=0.68-1.22, P=0.52) ( 16 ).
Whereas, in another retrospective observational study,
Chen et al. ( 22 ) compared IVF outcomes in 268 women
receiving inactivated or recombinant COVID-19 vaccination with 268 controls, and observed a decreased fertilization (63.07 vs. 67.13%, P=0.01) and mature oocyte
number (8.86 ± 6.13 vs. 9.28 ± 5.38, P=0.01) in women
vaccinated with the inactivated vaccine when compared
to unvaccinated women. However, Chen et al’s study reaffirmed the safety of COVID-19 vaccination, with respect
to blastulation, implantation, clinical pregnancy, and miscarriage rates irrespective of the type of vaccine received.
The other significant finding of our study was that within
the vaccinated cohort, time since last dose influenced embryo
transfer results marginally with an AUC of 0.59. The best ongoing pregnancy rates were seen 60 days after the last vaccine
dose was received. This time influence appears contrary to the
above-mentioned results which do not indicate influence of
vaccination on embryo transfers, perhaps because in our study
only 14.9%, n=87 of all transfers were at intervals shorter than
sixty days and only in this interval, the influence of vaccine
on embryo transfer outcomes appeared negative. Influence
of time elapsed since last dose on embryo transfer outcomes
has been seen by other authors too. A large cohort study from
China by Shi et al. ( 23 ) looked at the effect of time since inactivated SARS CoV 2 vaccine on embryo transfer outcomes
and recommended that it was best to wait for two months after the last vaccine dose before performing embryo transfers.
Previous studies have revealed that the type I viral envelope
protein and human syncytin-1 protein involved in the
formation of the placenta share analogous structural features ( 24 ). It
has been claimed that vaccine induced antibodies against the
spike protein may cross-react with syncytin-1 leading to poor
implantation and early pregnancy losses. COVID-19 vaccine
(ChAdOx1) mediated antibody generation peaks in the body
at two weeks and thereafter starts to decline with a mean
halflife of 79 days ( 25 ). It is therefore possible to see the weak
time effect on embryo transfer outcomes in our study as the
effect of activation of peak vaccine mediated immunity on
endometrial receptivity or implantation in the initial days.
Contrarily, one other large scale retrospective study by
Brandão et al. ( 26 ), comparing 890 individuals receiving
mRNA vaccine with 3272 unvaccinated historical controls
from before the pandemic, and Chen et al’s ( 22 ) retrospective
study involving 280 women that received inactivated vaccine
do not find the influence of time elapsed since vaccination on
embryo transfer outcomes. Therefore, it is also possible that
other unaccounted for factors are at play in our study, like new
COVID infections after embryo transfer, a variable that our
study does not account for, and that this could have
confounded the time effect. However, the outcome of mean oocyte utilization accounts for all episodes of prior and current infections
as well as vaccine status and the finding that the
embryological outcomes of mean total utilizable embryos and mean
oocyte utilization rate are unimpacted by vaccine status, vaccine
type, time since vaccine dose or previous COVID infections is
reassuring to clinicians and patients alike.
To the best of our knowledge, three studies on fertility
after ChAdOx1 exist in the literature so far, one from the
phase three trial setting of ChAdOx1 vaccine ( 13 ), one in
mice to demonstrate no known fetal toxicity ( 8 ) and one in
men, demonstrating no difference in semen parameters
before and after ChAdOx1 vaccination ( 27 ). And none of these
looks at the time influence of ChAdOx1 on embryo transfer
outcomes. The strengths of our study therefore are,
analysis of the effect of type specific vaccine effects on IVF
outcomes, chiefly the less studied Adenoviral Vector Vaccine,
ChAdOx-1, and a regression analysis accounting for the
effect of confounders like vaccine type, vaccine doses and
previous COVID infections on primary outcomes. The
limitations include failure to meet an appropriate sample size.
Conclusions
COVID-19 vaccination does not appear to influence
embryological outcomes like fertilization rates, mean total
utilizable embryos or mean oocyte utilization rate or
cumulative ongoing pregnancies per oocyte retrieval cycle.
Duration since vaccination has a marginally significant
negative effect on embryo transfer outcomes, with intervals less
than 60 days since vaccination likely to negatively affect
results. Future research should secondarily examine the
results from existing literature, taking into account specific
vaccine types to ascertain these findings.
Materials Methods
Institutional Ethics Committee Approval (Ethics Committee, Sir Ganga Ram Hospital) was received for this
prospective cohort study vide letter No. EC/08/21/1948.
Informed Consent was taken from all participants. The
eligibility criteria included couples undergoing IVF or intracytoplasmic sperm injection (ICSI) cycles at the centre
of study. Inclusions were couples undergoing IVF/ICSI
with self-eggs and transfer in self. Exclusions were donor oocyte cycles, donor sperm cycles, surrogacy cycles,
women undergoing IVF for fertility preservation and
those refusing to participate.
The study included women undergoing oocyte retrieval
cycles from 1st June 2021 to 31st March 2022. Results
from all embryo transfers occurring till 1st October 2022
(i-e.) six months after the last oocyte retrieval cycle, were
analysed.
Demographic data including age (in years), infertility
duration (in years), body mass index (Kg/m 2 ), infertility indication (male, tubal, unexplained, endometriosis,
combined), previous pregnancies (no prior pregnancies,
previous pregnancies resulting in no live birth, previous
pregnancies resulting in at least one live birth), Anti-Mullerian Hormone (ng/ml), history of previous COVID-19
infection (yes/no) and IVF cycle data including gonadotropin type [human menopausal gonadotropin (hMG),
recombinant follicle stimulating hormone (FSH) or combined], total gonadotropin dose (IU), estradiol on the day
of ovulation trigger (pg/ml) and type of ovulation trigger
(hCG/GnRH agonist/dual) were collected. Data on retrieved oocyte number (n), fertilization rates in IVF and
ICSI cycles (%), total utilizable embryos formed (n) and
oocyte utilization rates (%) were calculated. Total utilizable embryos were calculated as the sum of all day-3
embryos and day 5/6 blastocysts formed from one cycle
that were either transferred or cryopreserved. Mean oocyte utilization rate was calculated as the percentage of
total utilizable embryos to total retrieved oocytes. Data
on cycles with no embryos available for transfer, cycles
with embryos continuing to be in cryo-storage till study
termination date and results of each embryo transfer cycle, whether resulting in no pregnancy, pregnancy loss or
an ongoing pregnancy were recorded. Positive pregnancy
was defined as serum bhCG value of >25 mIU/ml 11 days
after a blastocyst transfer or 13 days after a day-3 embryo transfer. An ongoing pregnancy was defined as the
presence of gestational sac in utero with cardiac activity
seen on an ultrasound scan at twelve weeks gestation. A
pregnancy loss was defined as all pregnancies from the
point of positive bhCG that resulted in a pregnancy loss
till 12 weeks gestation including a biochemical pregnancy
loss, blighted ovum, missed abortion and an ectopic pregnancy. Dates of oocyte retrieval, fresh and frozen embryo
transfer were recorded as well.
Vaccine data including type of vaccine received: whether inactivated whole virion vaccine, adenoviral vector
vaccine or mRNA vaccine; number of doses received, and
their dates of receipt were collected on the day of oocyte
retrieval as per their details on the COWIN app. Patient
reported adverse events, if any, after vaccination were recorded. Since vaccine status is a time dependent variable
and embryo transfer could take place remote from oocyte
retrieval date, vaccine status was checked once more on
the day of embryo transfer and vaccine status reassigned
at transfer day.
Three comparison cohorts were created at two time
points based on vaccination status (VS) as those with no
prior COVID-19 vaccination exposure and those with 1
and ≥2 dose COVID-19 vaccination exposure. The first
timepoint was at oocyte retrieval (VSOCR) and the
second was at embryo transfer (VSTr). Embryological
outcomes were compared in the three VSOCR cohorts. And
embryo transfer outcomes were compared in the three
VSTr groups. Similarly, time since last vaccine dose was
calculated twice as t(OCR) as the difference in days
between last dose to oocyte retrieval and t(Tr) as the
difference in days between last dose to embryo transfer.
Embryological outcomes studied were mean total
oocytes retrieved, fertilization rates, total utilizable embryos
and mean oocyte utilization rates per oocyte retrieval
cycle. Embryo transfer outcomes studied were ongoing
pregnancy rates and pregnancy loss rates per fresh or
frozen embryo transfer cycle. Cumulative ongoing
pregnancy rates per oocyte retrieval cycle were also calculated
and defined as ongoing pregnancies resulting from
transfer of all fresh and frozen embryos formed in one oocyte
retrieval cycle. The oocyte retrieval cycle was considered
completed if it resulted in an ongoing singleton/twin
pregnancy or in the absence of an ongoing pregnancy when all
utilizable embryos were exhausted or the study duration
of six months from oocyte retrieval was over.
Based on our previously published work that demonstrates
( 17 ) a 40% ongoing pregnancy rate per started cycle
( 16 ), and assuming a 10% lowering of ongoing pregnancies
in the vaccinated arm, and an 80% power with a 5% error
margin, a total of 712 subjects were required to estimate a
significant difference in ongoing pregnancy rate.
Comparative analysis was done amongst the three cohorts using One way ANOVA for normally distributed
numerical data and Kruskal Wallis test for skewed data.
Categorical variables were compared using the chi-square
test. Regression coefficient beta (ß) was calculated using
linear regression analysis for mean total utilizable embryos and mean oocyte utilization rates. Adjusted odds ratios
(OR) were calculated using logistic regression analysis
for ongoing pregnancy rates, pregnancy loss rates and
cumulative pregnancy rates. Appropriate adjustments for
confounders of age, infertility duration, infertility diagnosis, consultant administering treatment, anti-mullerian
hormone (AMH), prior covid infections, Vaccine doses
and vaccine type were made to calculate ß and aOR. ß indicates the value by which the mean of dependent numerical variables i.e. total utilizable embryos and mean oocyte
utilization rates would increase, or decrease for every unit
increase in the independent variable which in this case
was the number of vaccine doses, after adjusting for the
above stated confounders. Similarly, aOR indicates the
OR for dependent binary variables: ongoing pregnancy
rate, pregnancy loss rate and cumulative ongoing pregnancy rate in the three vaccine cohorts after adjusting for
above stated confounders.
To determine the influence of time elapsed since vaccine
administration to embryo transfer on ongoing pregnancy
rate, a receiver operator curve (ROC) was drawn and area
under the curve (AUC) estimated. If time influenced results significantly, then a cut-off for the time interval that
most discriminated between positive and negative results
was determined based on maximum sensitivity and specificity values. aOR for ongoing pregnancy rate per embryo
transfer in the vaccinated cohort as per the time interval
cut-off was additionally calculated using binary logistic
regression. All analyses were done on Statistical Product
and Service Solutions software (version 28).
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