Intro
The use of assisted reproductive technology (ART) has increased substantially over
time, with ART procedures now accounting for 1.5 to 5.9% of all births in
high-income countries ( da Silva et
al. , 2020 ). However, some studies have suggested that ART
singletons are at an increased risk of preterm birth, low birth weight (LBW),
congenital anomalies, and perinatal mortality ( Banica
et al ., 2021 ; Chang
et al ., 2020 ). Despite these risks, the number of
pregnancies conceived through ART continues to grow ( Guo et al ., 2020 ). The effects of ART on newborn health
remain an open question ( da Silva et
al ., 2020 ), as early life events are believed to play a
crucial role in modulating the risk of certain diseases during later periods ( Mohammadi et al ., 2023 ; Nobile et al ., 2022 ).
Meanwhile, ART has undergone considerable changes over the last decade as well
( Chang et al ., 2020 ;
Kushnir et al ., 2017 ;
Reig & Seli, 2019 ). Consequently,
research is still needed to investigate the association of ART with pregnancy
outcomes ( da Silva et al .,
2020 ).
Studies have shown that endometrial thickness (EMT) is associated with the outcomes
of pregnancies conceived through ART ( Kasius
et al ., 2014 ). A thicker endometrium is believed to
be beneficial for proper implantation and the ultimate success of ART procedures
( Banker et al ., 2021 ).
However, there is no clear consensus on the ideal EMT for successful pregnancy
outcomes, with varying opinions and recommendations among fertility specialists
( Mahajan & Sharma, 2016 ). Many
studies suggest that a thickness of 7 mm or more is associated with a high chance of
pregnancy success ( Liu et al .,
2018 ; Wang et al. ,
2018 ), while others have found that a thickness of 9 mm or more is ideal
( Zhao et al ., 2012 ).
More data are required to enhance comprehension of the precise correlation between
EMT and ART outcomes, thereby enabling the development of more effective fertility
interventions ( Kasius et al .,
2014 ; Mahajan & Sharma, 2016 ).
For the safety evaluation and standardization of the practice, the perinatal
outcomes of ART still require careful evaluation ( Beltran Anzola et al ., 2019 ; Kushnir et al ., 2017 ).
We conducted this study to evaluate the effect of EMT on the outcomes of ART. Our
hypothesis was that EMT affects birth weight (BW) and the risk of preterm delivery.
We incorporated a number of maternal characteristics into our statistical models to
control their confounding effects on the relations between EMT and ART outcomes.
Methods
This study was a retrospective cohort analysis of deliveries following ART
between 2018 and 2022. All patients were treated for infertility at the
Department of Infertility at a teaching hospital affiliated with a University of
Medical Sciences. The department is well-equipped and the hospital is a large
referral and subspecialty center.
The study protocol was conducted in accordance with the Declaration of Helsinki.
Ethics approval was obtained from the Institutional Review Board (IRB) of the
University of Medical Sciences. The study used information from participants’
medical records and did not involve any measurements on patients. No identifying
information was extracted from patients’ records. All participants provided
written informed consent for their treatment and received verbal and written
explanations of the nature and purpose of the procedures.
The study included women aged 18 years or older who had conceived a singleton
pregnancy of 22 weeks or more or weighing 500g or more using ART. Based on the
available information, the procedures were performed for patients with tubal
factor infertility, polycystic ovary syndrome, light to moderate decreased semen
quality in the male partner, or unexplained infertility. None of the included
patients had ovarian cysts larger than 4 cm, hypogonadotropic hypogonadism,
endometriosis stage 3-4, and liver, kidney, or thyroid disease. The procedures
were not prescribed for women with severe diabetes, cardiovascular disease, or
other comorbidities that interfered with the treatments. Women who developed
gestational hypertension or diabetes, those who underwent previous in-vitro
fertilization or intracytoplasmic sperm injection with their current partner,
and users of donor oocytes or frozen oocytes were excluded as well. Patients
with incomplete records were also excluded.
We used controlled ovary stimulation for ICSI and gonadotropin-releasing
hormone agonists or antagonists to prevent premature ovulation.
Follicle-stimulating hormone injections were administered until the
follicular diameter of 18 mm was reached ( Huang et al ., 2022 ; Ribeiro & Sousa, 2023 ; Rodriguez-Wallberg et al ., 2022 ). A
10000-unit human chorionic gonadotropin (hCG) was injected and after 36
hours the oocytes were retrieved using a transvaginal ultrasound probe to
guide a specialized needle through the vaginal wall and into the ovaries and
were fertilized with husband sperms. If endometrium was at least 7 mm,
progesterone was administered for 3 or 5 days and then the embryo or
blastocyst was transferred. For frozen-ET, retrieved oocytes were fertilized
in the laboratory with ICSI and the embryo was cryopreserved using
vitrification ( Arian et al .,
2023 ; Lee et
al ., 2022 ; Roelens &
Blockeel, 2022 ). The endometrium was primed with estradiol until
the EMT reached at least 7 mm, progesterone was administered for 3 days, and
the frozen embryo was thawed and transferred into the uterus using a
flexible catheter under ultrasound guidance. Pregnancy was investigated two
weeks later using a serum beta-hCG test and sonography.
The EMT (mm) was assessed by measuring the maximum distance between the
endometrial-myometrial interface of the anterior and posterior walls of the
uterus in the median longitudinal plane ( Zhao et al ., 2012 ). Sonography facilitates
precise measurements of structural thickness in various anatomical contexts
( Mohammadi & Mohammadi,
2023 ). Transvaginal sonography was employed by obstetricians for
accurate measurements. A high-frequency transvaginal ultrasound probe
operating at a frequency of 8 MHz was utilized. To maintain patient safety
and aseptic conditions, the probe was sterilized and covered with a
disposable sheath. The measurement was performed 11-12 hours prior to hCG
injection using Doppler Ultrasound (E-CUBE 9, Alpinion Medical Systems Co.,
Ltd., Seoul, Republic of Korea). Before the procedure, patients should have
a full bladder. The patient was positioned on an examination table, with the
pelvic area exposed. Careful insertion of the transabdominal probe was
performed by the sonographer. The probe was connected to a high-resolution
ultrasound machine. During the examination, the identification of the
thickest segment of the endometrium was carried out, and measurements were
taken at multiple points to ensure accuracy.
Body mass index (BMI; kg/m 2 ) was calculated as the weight (kg) divided
by the square of height (m 2 ). Systolic blood pressure (SBP) and
diastolic blood pressure (DBP) were measured using a cuff mercury
sphygmomanometer following 10 minutes of rest. Blood hypertension was identified
in patients who exhibited SBP values greater than or equal to 130 mmHg and/or
DBP of 85 mmHg or higher. Additionally, patients who had a history of
hypertension and were receiving anti-hypertensive drug treatment were also
classified as having blood hypertension. Gestational hypertension was identified
when the blood pressure exceeded 140/90 mm Hg in a woman who had normal blood
pressure prior to 20 weeks of gestation and lacked proteinuria, ( Hasan et al ., 2020 ).
Preeclampsia was diagnosed when a patient with gestational hypertension also
presented with proteinuria ( Xiong et
al ., 2002 ). The investigation for diabetes involved
assessing fasting blood sugar (FBS), considering a value of 95 mg/dL or higher,
or the use of medication for elevated glucose levels. Gestational diabetes was
diagnosed if two or more of the following criteria were met: FBS of 95 mg/dL or
higher, a one-hour oral glucose tolerance test result of 180 mg/dL or higher, a
two-hour result of 155 mg/dL or higher, or a three-hour result of 140 mg/dL or
higher ( Shokri et al .,
2022 ).
Continuous variables are presented as mean (SD), while categorical data are
described as absolute numbers (%). To compare the means of continuous variables,
independent t-tests were utilized. Differences in categorical variables among
the study subgroups were examined using χ2 tests. Furthermore, a
multivariable linear model was developed to predict neonates’ birth weight (BW)
incorporating maternal characteristics and neonates’ sex as predictor variables.
The level of significance was set at two-tailed α=0.05. All statistical
analyses were carried out using R version 4.0.2 for Windows ( https://www.r-project.org/ ).
Results
Of 219 included patients, 23 women were still pregnant, 12 had thyroid disease, 11
developed gestational diabetes, 11 were diagnosed as having gestational
hypertension, 31 conceived twins or multiple pregnancies, 22 were users of donated
oocytes, and 9 had incomplete records. The analytic sample included 100 patients
with a mean (SD) age of 32.8 (6.2) years and a minimum and maximum age of 19 and 46
years. Table 1 shows the characteristics of
the study sample.
Maternal characteristics of the study sample (n=100).
significant at p <0.05.
The mean EMTs were 9.2 (1.2) and 9.0 (1.1) mm in non-preterm and preterm neonates,
respectively. Univariate analysis showed that there was no statistically significant
relationship between the EMT and preterm labor [ t (93.4)=1.248,
p =0.215, Cohen’s d (95%CI)=0.26 (-0.15, 0.66).
Similarly, we did not find a significant association between the EMT and stillbirth
or IUFD [9.1 (1.2) vs . 9.1 (1.1) mm in alive and dead neonates,
respectively; t (50.5)=0.151, p =0.880,
d =0.04 (-0.51, 0.59)]. However, there was a significant
correlation between the EMT and the BW, Pearson’s r (95%CI)=0.3
(0.1, 0.5), t (72)=2.404, p =0.018. Figure 1 illustrates the relationships between
EMT and preterm labor or BW.
Figure 1 (Left) The relationship between mean EMT and preterm labor. Error bars
represent 95%CI for mean estimation. (Right) The association between EMT
and BW. The black line represents linear regression and the shaded gray
area displays the confidence interval around the regression line. There
is a positive linear relationship between EMT and BW. The narrow
confidence interval shows that the regression line fits the data well.
EMT, Endometrial Thickness; BW, Birth Weight.
(Left) The relationship between mean EMT and preterm labor. Error bars
represent 95%CI for mean estimation. (Right) The association between EMT
and BW. The black line represents linear regression and the shaded gray
area displays the confidence interval around the regression line. There
is a positive linear relationship between EMT and BW. The narrow
confidence interval shows that the regression line fits the data well.
EMT, Endometrial Thickness; BW, Birth Weight.
To investigate the effects of EMT on BW we developed a multivariable linear model for
predicting BW adjusted for age, baseline BMI, FBS, gravidity, SBP, and neonate’s
sex. The stepwise model selection was performed using Akaike Information Criterion.
Table 2 presents the result of the linear
regression, F (4, 69)=3.850, p =0.007, adjusted R
squared = 0.135. Overall, the model implied that EMT was a significant predictor of
BW. Although maternal FBS and age were not significant predictors of neonatal BW,
they approached significance with a p value of 0.068 and 0.092. We
investigated the criteria for EMT of 8 and 9 mm concerning pregnancy outcomes ( Table 3 ). Our analyses showed that EMT
≥8 was a significant predictor of AGA, while no other comparisons reached
statistical significance. As a conservative approach, our results indicated that an
EMT of ≥9 was not associated with adverse pregnancy outcomes. However, an EMT
of ≥8 was sufficient to ensure a safe pregnancy.
Linear model specification for predicting BW using stepwise predictor
selection.
significant at p <0.001
Perinatal outcomes.
significant at p <0.05
Discussion
We conducted this study to investigate the effects of EMT during embryo transfer on
infant BW and the rate of preterm labor. Our study included patients without any
pregnancy complications, and all participating mothers had an EMT of at least 7 mm
at the time of embryo transfer. Our findings indicated that there was no
statistically significant association between the EMT and the occurrence of preterm
labor. Similarly, we did not observe a significant association between the EMT and
the incidence of stillbirth or IUFD. However, we identified a significant
correlation between the EMT and BW. The multivariable linear model, adjusted for
age, baseline BMI, FBS levels, gravidity, SBP, and the sex of the neonate, confirmed
the significant role of EMT in predicting neonatal BW. In our study, we evaluated
two criteria for EMT, specifically 8 mm and 9 mm, in relation to pregnancy outcomes.
Our analyses revealed that an EMT of ≥8 mm was a significant predictor of
appropriate-for-gestational-age (AGA) neonates, while none of the other comparisons
reached statistical significance. Taking a conservative approach, our results
indicated that an EMT of ≥9 mm is not associated with adverse pregnancy
outcomes. However, an EMT of ≥8 mm was considered sufficient to ensure a safe
pregnancy. Some of our findings are consistent with those reported in the existing
literature.
Researchers investigated the roles of EMTs on pregnancy outcomes ( Ma et al ., 2017 ; Martel et al ., 2021 ; Shaodi et al ., 2020 ; Zhang et al ., 2019 ; Zhang et al. , 2023 ). In one
study, after adjusting for maternal age and BMI, a multivariate logistic model
identified a significant association between EMT and live birth rate with a lower
live birth in women with EMT ≤8 mm ( Ma
et al ., 2017 ). In another study conducted by Shaodi et al. (2020) , the
impact of EMT on the embryo transfer day on pregnancy outcomes was assessed. A
multivariable model was adjusted for the age, duration of infertility, BMI,
infertility type, and number and type of embryos transferred. They found a
significant correlation between the EMT ≥8.7 mm and the live birth rate and
concluded that the live birth rate would be reduced with a very thin endometrium.
( Shaodi et al ., 2020 ).
In a recent retrospective cohort study, Martel
et al. (2021) investigated the effects of EMT on BW
and obstetric complication rate after hormone-replaced frozen-ET. The median
endometrial thickness was 8.60 mm. The sample was dichotomized into two groups of
EMT <7 and ≥7 mm. Neonates born from EMT <7 mm were born earlier and
with lower BW (2,749.9 vs . 3,345.2 g). Nevertheless, the EMT was
not significantly associated with obstetric complications, even when adjusted for
age and medical history. They showed that EMT was not associated with the incidence
of preterm birth ( p =0.67) and that the rates of preterm birth were
not statistically different in women with a thin versus thick
endometrium (28.6% vs . 8.5%, p =0.12). Moreover,
there was no significant difference in rates of SGA infants between mothers with an
EMT of <7 and those with an ETM of ≥7 mm (20.0% vs . 3.0%,
p =0.15). Martel et
al . (2021) reported that EMT was significantly correlated
with birth weight ( p <0.03). In a study conducted by Zhang et al . (2023) on
frozen-ET, the mean birth weight was 85.1 g higher in the EMT ≥ 12 mm group
and 25.9 g higher in the 8-12 mm EMT group than in the EMT <8 mm group. They
concluded that the BW is lower for newborns delivered by patients with a thinner
endometrium. A significant difference in BW has been reported in another study
comparing EMT <8 and EMT ≥10 mm ( Zhang
et al ., 2019 ).
Our study particularly replicated some of Martel’s results ( Martel et al ., 2021 ). While our model was
adjusted for the known confounders of BW, we lowered the likelihood of bias at the
level of the study design by restricting our sample to mothers without health
unfavorable conditions. Moreover, we included patients with ≥7 mm EMT for
embryo transfer. These allowed us to select a more homogenous sample and lower the
effects of factors interacting with normal BW. In our multivariable model, we
incorporated EMT as a continuous variable instead of a dichotomous feature. This
prevented the loss of information by categorizing EMTs. However, our univariate
analysis did not reveal an important difference in the outcomes of pregnancy using
EMT cutoffs of 8 and 9 mm. Overall, the mechanism underlying the relationship
between EMT and neonatal BW is multifactorial. However, it is believed that a thin
endometrium may lead to higher oxygen tension and increases exposure to reactive
oxygen species that can be unhealthy for the fetus ( Casper, 2011 ). Thin endometria lack a functional layer which means that
the fetus is exposed to the large spiral arteries and increased oxygen tension,
often resulting in a lack of oxygen supply ( Casper,
2011 ). Deficiencies in deep placentation and remodeling of arteries as a
result of a thin endometrium can adversely affect blood flow to the placenta and
uteroplacental circulation, ultimately affecting the developing fetus ( Zhang et al ., 2019 ).
Meanwhile, additional research is still needed to investigate how the thickness of
the endometrium is associated with specific obstetric complications and to select
the optimal EMT cutoff for clinical decision-making.
The study presented in this manuscript has some limitations that should be
considered when interpreting the results. First, this study was a retrospective
cohort, and the sample was limited to patients treated at a single center.
Consequently, the generalizability of the findings to a broader population may
be limited. Furthermore, we assessed short-term outcomes and did not investigate
long-term effects, such as the potential impact of EMT on child development or
long-term health outcomes. Conducting a long-term study would provide a valuable
complement to the assessment of the safety of existing EMT criteria. Moreover,
while we attempted to control for potential confounding factors in our
statistical analysis, there may still be unmeasured confounders that could
affect the results. A larger sample size is necessary when incorporating a
substantial number of covariates. In our study, we specifically included mothers
who did not have significant obesity, HTN, or diabetes. To establish and
generalize our findings, further prospective longitudinal studies with larger
sample sizes are warranted. Particularly, the recruitment of specific patient
groups, such as individuals with pregnancy complications or baseline health
conditions, and extending the follow-up period would contribute to a more
comprehensive and generalized conclusion. These modifications would enable a
deeper understanding of the relationship between endometrial thickness EMT and
the various outcomes of interest.
We investigated the relationship between the EMT during embryo transfer and BW or
preterm labor. All participating mothers had an EMT of at least 7 mm at the time
of embryo transfer. The results indicated that an EMT of ≥7 mm did not
demonstrate a significant association with preterm labor, and stillbirth or
IUFD. However, our adjusted model revealed that the EMT plays a significant role
in predicting newborn weight. In a conservative approach, we found that newborns
resulting from embryo transfers with maternal EMT ≥9 mm did not show an
increased risk for unfavorable pregnancy outcomes. However, our study revealed
that EMT ≥8 mm would be safe for newborn health as well. These findings
suggest that maintaining an EMT of at least 8 mm during embryo transfer is
associated with favorable outcomes for newborns, while an EMT of 9 mm or more
reduces the likelihood of adverse pregnancy outcomes to a greater extent.
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