Skip to main content
Reproductive Biology and Endocrinology : RB&E logoLink to Reproductive Biology and Endocrinology : RB&E
. 2021 Apr 9;19:55. doi: 10.1186/s12958-021-00738-9

Thin endometrium is associated with the risk of hypertensive disorders of pregnancy in fresh IVF/ICSI embryo transfer cycles: a retrospective cohort study of 9,266 singleton births

Xiaojie Liu 1,2,3, Jingwan Wang 1,2,3, Xiao Fu 1,2,3, Jing Li 1,2,3, Meng Zhang 1,2,3, Junhao Yan 2,3, Shanshan Gao 2,3,, Jinlong Ma 2,3,
PMCID: PMC8034143  PMID: 33836788

Abstract

Background

Thin endometrial thickness (EMT) has been suggested to be associated with reduced incidence of pregnancy rate after in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment, but the effect of thin endometrium on obstetric outcome is less investigated. This study aims to determine whether EMT affects the incidence of obstetric complications in fresh IVF/ICSI-embryo transfer (ET) cycles.

Methods

We conducted a retrospective cohort study collecting a total of 9266 women who had singleton livebirths after fresh IVF/ICSI-ET treatment cycles at the Center for Reproductive Medicine Affiliated to Shandong University between January 2014 and December 2018. The women were divided into three groups according to the EMT: 544 women with an EMT ≤8 mm, 6234 with an EMT > 8–12 mm, and 2488 with an EMT > 12 mm. The primary outcomes were the incidence of obstetric complications including hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), placental abruption, placenta previa, postpartum hemorrhage (PPH) and cesarean section. Multivariable logistic regression analysis was performed to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for associations between the EMT measured on the day of human chorionic gonadotropin (HCG) trigger and the risk of the outcomes of interest.

Results

The HDP incidence rate of pregnant women was highest in EMT ≤ 8 mm group and significantly higher than those in EMT from > 8–12 mm and EMT > 12 mm group, respectively (6.8% versus 3.6 and 3.5%, respectively; P = 0.001). After adjustment for confounding variables by multivariate logistic regression analysis, a thin EMT was still statistically significant associated with an increased risk of HDP. Compared with women with an EMT > 8–12 mm, women with an EMT ≤8 mm had an increased risk of HDP (aOR = 1.853, 95% CI 1.281–2.679, P = 0.001).

Conclusion

A thin endometrium (≤8 mm) was found to be associated with an increased risk of HDP after adjustment for confounding variables, indicating that the thin endometrium itself is a risk factor for HDP. Obstetricians should remain aware of the possibility of HDP when women with a thin EMT achieve pregnancy through fresh IVF/ICSI–ET treatment cycles.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12958-021-00738-9.

Keywords: Endometrial thickness, Hypertensive disorders of pregnancy, Fresh IVF/ICSI embryo transfer, Obstetric complication, Perinatal outcome

Background

Assisted reproductive technology (ART) has been widely applied in infertility treatment and the technology advance has greatly increased the live birth rate in recent years [1, 2]. Therefore, achieving healthy perinatal outcome became a new focus reproductive medicine. Numerous studies have shown that compared with spontaneous conception, ART pregnancies are associated with increased risks for obstetric complications such as preeclampsia, gestational diabetes mellitus (GDM) and placental anomalies [36]. It is still unclear what risk factors in ART cycles may be related to these adverse obstetric complications. A study by Wang YA et al. and a later meta-analysis revealed that this may be attributed to a higher frequency of multiple gestations after ART [7, 8]. But another systematic review and meta-analysis has shown that women with singleton ART pregnancies still have a higher incidence of obstetric and perinatal complications compared with their counterparts with spontaneous conception [9].

The embryo quality and endometrial receptivity play an important role in fresh in vitro fertilization/intracytoplasmic sperm injection-embryo transfer (IVF/ICSI–ET) pregnancy outcome. Endometrial receptivity is the ability of an endometrium allowing normal implantation [10]. Meanwhile, the endometrial thickness (EMT) is considered as one of the key factors influencing endometrial receptivity [11]. Several cohort studies demonstrated that the EMT on the day of human chorionic gonadotropin (HCG) administration was related to IVF/ICSI pregnancy rates and was regarded as a possible predictor for pregnancy outcomes [1214]. A recent systematic review and meta-analysis showed that the implantation rates, pregnancy rates, ongoing pregnancy rates, and live birth rates in women with a lower EMT were reduced compared with those with a higher EMT [15]. In addition, an EMT of less than 7.5 mm was found to be associated with increased risks of adverse obstetric outcomes in a retrospective cohort study of 864 singleton deliveries [16].

Only a few studies have explored the association between EMT and obstetric outcomes after IVF/ICSI–ET, with controversial results, and the sample sizes of most previous research were limited (generally less than 5000). Therefore, we performed this retrospective cohort study including 9266 fresh embryo transfer (ET) cycles with singleton birth after controlling some pregnancy complication-related factors. This study aimed to provide an up-to-date evidence to determine a more accurate relationship between EMT measured on the day of HCG trigger in fresh IVF/ICSI–ET cycles and the risk of obstetric complications including hypertensive disorders of pregnancy (HDP), GDM, placental abruption, placenta previa, postpartum hemorrhage (PPH) and cesarean section.

Methods

Study design and population

This is a retrospective cohort study conducted at the Center for Reproductive Medicine Affiliated to Shandong University. The study protocol was approved by the Institutional Review Board of Center for Reproductive Medicine Affiliated to Shandong University. We extracted data of all live births following fresh IVF/ICSI-ET treatment cycles in our reproductive center between January 2014 and December 2018. Our inclusion criteria were: [1] patients with a singleton birth, [2] patients under the age of 45 years. Exclusion criteria were: [1] patients undergoing preimplantation genetic testing (PGT) cycles, oocyte donation cycles, or frozen embryo transfer (FET) cycles, [2] patients with chronic hypertension or diabetes mellitus before the index pregnancy, [3] patients with multiple births, [4] patients with congenital or acquired uterine malformations. [5] patients who were diagnosed with intrauterine disease (e.g., endometrial polyps, uterine fibroids, intrauterine adhesion), and regardless of whether they have received surgical treatment or not. Finally, a total of 9266 women under the age of 45 years were included in this study.

IVF/ICSI protocols

The methods of ovarian stimulation protocols and ET protocols in our reproduction medicine center have been described in detail elsewhere [17, 18]. There were several stimulation protocols in our study: gonadotropin-releasing hormone (GnRH) agonist long protocols (4904 cycles, 52.92%), GnRH agonist short protocols (2211 cycles, 23.86%), flexible GnRH antagonist protocols (1660 cycles, 17.91%), GnRH agonist super long protocols (424 cycles, 4.58%), and other protocols (67 cycles, 0.72%). Other protocols are improvement protocols based on the individual treatment. The selection of different ovarian stimulation protocols was depending on patients’ individual conditions, including patient’s age, body weight, infertility causes, and ovarian function. HCG at a dose of 4000 to 10,000 IU was administrated intramuscularly to induce oocyte maturation when two or more follicles reached a mean diameter of 18 mm. The dual trigger was also applied in portion of GnRH antagonist protocols. Transvaginal ultrasound-guided oocyte retrieval was carried out 34 to 38 h after HCG administration. For patients who received fresh ET in our center, oral dydrogesterone and utrogestan vaginal capsules were used for lutealphase support, which was started immediately on the day of oocyte retrieval and was continued until 10 weeks of conception. Fertilization of the oocytes were performed by IVF or ICSI according to the male partner’s sperm quality. Usually, clinicians in our reproductive center recommend ICSI instead of conventional IVF or intrauterine insemination (IUI) if sperm concentration below 5*106/ml, or sperm morphology (normal forms) results of below 5%, or sperm progressive motility below 10% (a + b grade). High-quality embryos were picked out for cleavage-stage embryo or blastocyst transfer at 3 or 5 days after fertilization, respectively.

Endometrial thickness assessment

The thickness of endometrium was measured to the nearest 0.1 mm by doctors highly trained in ultrasound monitoring of the same team. These doctors used the same ultrasound machines with intracavity probe according to the same standardized protocols in our department (Toshiba Color Ultrasound Aplio 500, Toshiba Co., Ltd., Japan). Thickness was measured in the midsagittal plane as the maximal distance from one interface of endometrial-myometrial to the other wall of the uterus. EMT on the day of ovulation trigger was recorded and used for statistical analysis in this research. Patients were divided into three groups depending on EMT: ≤8 mm, > 8–12 mm, and ≥ 12 mm, which was consistent with previous studies [17, 19, 20]. In addition, the optimal cut-off threshold for a thin endometrium to discriminate HDP is 8.08 mm with an Area Under the Curve of 61.2% in a receiver operating characteristic curve (Fig. S1).

Patients’ follow up

In the early pregnancy, patients return to our reproductive centre for serum or ultrasound examinations. The 1st follow-up was performed around 14th days after embryo transfer, and biochemical pregnancy was assessed by measuring the serum level of HCG-beta subunit. The 2nd follow-up was performed at 5 and 6 weeks after embryo transfer, and clinical pregnancy was detected with the confirmation of gestational sacs by transvaginal. Ongoing pregnancy was confirmed at the 3rd follow-up, which was performed at 12th week of gestation (around 9 to 10 weeks after ET). Subsequent prenatal care was then performed in the obstetric department. The patients received telephone surveys by trained nurses in perinatal period, and standardized questionnaires were used to collect information including perinatal complications, gestational weeks, birth date, delivery mode, newborn gender and birth weight, neonatal diseases, treatment and prognosis. To avoid potential bias, the patients would be defined as loss of follow-up after at least five times failed attempts to contact by telephone. The follow-up information was recorded in detail and then saved together with previous treatment information in the electronic medical records. The data of this research were extracted from the electronic database of our hospital and a total of 137 patients (1.5% of all subjects who met the inclusion criteria) lost to follow-up or with core data missing in the electronic data base were excluded.

Outcome measures

The primary outcomes of our study were HDP, GDM, placental abruption, placenta previa, postpartum hemorrhage (PPH) and cesarean section. Live birth was defined as the delivery of a live-born infant after 28 weeks gestation. HDP included gestational hypertension (blood pressure ≥ 140/90 mmHg at least two occasions more than 4 h apart after 20 weeks’ gestation), preeclampsia (gestational hypertension and the coexistence of one or both of the following new-onset conditions: proteinuria; other maternal organ dysfunction), and eclampsia [21]. In this research, we excluded patients with chronic hypertension—which may be diagnosed before pregnancy or in the early stages of pregnancy (< 20 weeks’ gestation) [21]. GDM was defined as any degrees of abnormal glucose metabolism during pregnancy that was not clearly overt diabetes prior to gestation [22]. The 75-g OGTT (oral glucose tolerance test) was performed for woman at 24–28 weeks of gestation, with plasma glucose measurement when she is fasting (in the morning after an overnight fast of at least 8 h) and at 1 and 2 h. The diagnosis of GDM is made when any of the following plasma glucose values are met or exceeded: fasting: 92 mg/dL (5.1 mmol/L); 1 h: 180 mg/dL (10.0 mmol/L); 2 h: 153 mg/dL (8.5 mmol/L) [22]. Placenta previa was defined as an abnormal location of the placenta over or in close proximity to the internal cervical os [23]. Placental abruption was defined as a premature separation of the placenta before delivery [24]. According to the American College of Obstetrician and Gynecologists (ACOG) practice bulletin, postpartum hemorrhage was defined as cumulative blood loss ≥1000 mL or blood loss accompanied by symptoms of hypovolemia within 24 h after childbirth regardless of delivery mode [25].

Statistical analysis

Continuous data were represented as mean ± standard deviation, and were compared by one-way analysis of variance (ANOVA) or Welch’s ANOVA. Welch’s ANOVA was used if the data failed the assumption of equal variances. Otherwise, the one-way ANOVA was used. Categorical data are represented as frequencies and percentages, and univariate analysis including Pearson chi-square test or Fisher’s exact test was used to compare the distribution among groups. A logistic regression model incorporating restricted cubic splines (RCSs) was performed for the multivariate analysis to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for associations between the EMT measured on the day of HCG trigger and the risk of HDP. Adjusted variables included age, body mass index (BMI), estradiol and progesterone level on HCG administration day, parity, type of ART treatment, protocol for controlled ovarian stimulation, type of infertility, number of embryos transferred, stage of embryo transferred, previous cesarean section, endometriosis, and polycystic ovary syndrome (PCOS). Endometriosis was defined as the presence of endometrial tissue outside the uterine cavity [26]. The definition of PCOS was based on the Rotterdam definition—that PCOS can be diagnosed in woman existing of at least two of the three following characteristics: clinical and/or biochemical hyperandrogenism, ovulatory dysfunction and polycystic ovarian morphology [27, 28]. For variables of age, BMI, estradiol and progesterone level on HCG administration day, RCSs were generated to adjust for the non-linear relationship between these continuous variables and the outcomes of interest. When modelling RCS, knots location of the spline was tested according to Harrell’s recommendations [29], and model fitting was assessed on the basis of the Akaike information criterion (AIC). Then, models with knots placed at the 5th, 35th, 65th, and 95th percentile of these four continuous variables were proved to be optimal based on the minimum value of AIC. A P-value of less than 0.05 was considered statistically significant. All statistical analyses were performed with the Statistical Package for the Social Sciences (version 24.0; SPSS Inc., USA) and Statistics Analysis System (version 9.4; SAS Institute Inc., USA).

Results

During our study period, 9266 singletons born following fresh IVF/ICSI-ET cycles met our study criteria, including 544 women with an EMT ≤8 mm, 6234 with an EMT > 8–12 mm, and 2488 with an EMT > 12 mm, and we defined the women with an EMT > 8–12 mm as a reference group. The demographic and main treatment characteristics are presented in Table 1. Mean endometrial thicknesses were 7.57 ± 0.71 mm, 10.52 ± 1.06 mm, and 13.38 ± 1.11 mm in the EMT ≤8, > 8–12 and > 12 mm groups, respectively. Statistically significant differences were found in age, parity, the type and cause of infertility, ovarian stimulation protocol, progesterone level on HCG trigger day and the number of embryos transferred among the three groups, as shown in Table 1.

Table 1.

Demographic and main treatment characteristics for women with singleton live births according to endometrial thickness

Characteristics EMT ≤ 8 mm 8 < EMT ≤ 12 mm EMT > 12 mm P value
(n = 544) (n = 6234) (n = 2488)
Age (y)abc 32.39 ± 4.43 30.91 ± 4.30 30.46 ± 4.33 < 0.001e
BMI (kg/m2) 23.55 ± 3.36 23.50 ± 3.55 23.69 ± 3.65 NSe
Parity, n (%) ab < 0.001f
 First 362 (66.5) 4800 (77.0) 1912 (76.8)
 High order 182 (33.5) 1434 (23.0) 576 (23.2)
 Primary infertility, n (%) abc 167 (30.7) 2982 (47.8) 1340 (53.9) < 0.001f
Cause of infertility, n (%) abc < 0.001f
 Oviduct factors 241 (44.3) 1844 (29.6) 668 (26.8)
 Male factor 128 (23.5) 1749 (28.1) 745 (29.9)
 Ovulation problems 20 (3.7) 321 (5.1) 120 (4.8)
 Multiple causes 43 (7.9) 896 (14.4) 364 (14.6)
 Unexplained 67 (12.3) 872 (14.0) 351 (14.1)
 Other 45 (8.3) 552 (8.9) 240 (9.6)
Type of ART treatment, n (%) NSf
 IVF 396 (72.8) 4476 (71.9) 1755 (70.5)
 ICSI 148 (27.2) 1758 (28.2) 733 (29.5)
Ovarian stimulation protocol, n (%) c < 0.001f
 GnRH antagonist protocol 102 (18.8) 1153 (18.5) 405 (16.3)
 GnRH agonist long protocol 202 (37.1) 3183 (51.1) 1519 (61.1)
 GnRH agonist short protocol 187 (34.4) 1580 (25.3) 444 (17.8)
 GnRH agonist super long protocol 37 (6.8) 275 (4.4) 112 (4.5)
 Other protocol 16 (2.9) 43 (0.7) 8 (0.3)
 EMT on HCG trigger day, (mm)abc 7.57 ± 0.71 10.52 ± 1.06 13.38 ± 1.11 < 0.001d
 Progesterone level on HCG trigger day (ng/mL) ac 0.77 ± 0.37 0.82 ± 0.35 0.80 ± 0.34 0.001e
 E2 level on HCG trigger day (pg/mL) 2856.69 ± 1442.43 2878.68 ± 1431.83 2952.69 ± 1455.60 NSe
Number of embryos transferred, n (%) ab 0.002f
 1 210 (38.6) 1952 (31.3) 782 (31.4)
 2 334 (61.4) 4282 (68.7) 1706 (68.6)
 Blastocyst transfer, n (%) 165 (30.3) 1603 (25.7) 632 (25.4) 0.05f

Values are presented as mean ± standard deviation or n (%). ANOVA analysis of variance, BMI body mass index, EMT endometrial thickness, HCG human chorionic gonadotropin, E2 estradiol, NS not statistically significant

aStatistically significant differences between EMT ≤8 and 8 < EMT ≤12 mm groups

bStatistically significant differences between EMT ≤8 mm and EMT > 12 mm groups

cStatistically significant differences between 8 < EMT ≤12 mm and EMT > 12 mm groups

dWelch’s ANOVA

eOne-way ANOVA

fPearson chi-square test

Obstetric complications for women with singleton live births according to EMT groups are presented in Table 2. The HDP incidence rate was highest in women with an EMT ≤8 mm and significantly higher than those in women with an EMT > 8–12 mm and EMT > 12 mm, respectively (6.8% versus 3.6 and 3.5%, respectively; P = 0.001). In addition, there were no statistically significant differences in rates of GDM, placental abruption, placenta previa, PPH and cesarean section among the three groups. We further performed univariate regression analysis of variables which were potential predictors of the incidence of HDP, as shown in Table 3. The risk of HDP was statistically significant increased in the EMT ≤ 8 mm group compared with those from the EMT > 8–12 mm group (OR 1.958; 95% CI, 1.367–2.805; P < 0.001), and there was no statistically significant difference in the incidence of HDP between the EMT > 8–12 and > 12 mm groups. At the same time, maternal age, BMI, and previous cesarean section were also potential predictors for HDP. A multivariate logistic regression incorporating RCSs was subsequently conducted and EMT was still significantly associated with HDP after adjusting for confounding variables (Table 3). Compared with women with an EMT > 8–12 mm, women with an EMT ≤8 mm had an adjusted odds ratio (aOR) of 1.853 (95% CI, 1.281–2.679, P = 0.001), and we found no statistically significant difference between the EMT > 8–12 and > 12 mm groups.

Table 2.

Obstetric complications for women with singleton live births according to endometrial thickness

Outcomes EMT ≤ 8 mm 8 < EMT ≤ 12 mm EMT > 12 mm P value
(n = 544) (n = 6234) (n = 2488)
HDP, n (%) ab 37 (6.8) 224 (3.6) 88 (3.5) 0.001c
GDM, n (%) 52 (9.6) 469 (7.5) 187 (7.5) 0.224 c
Placental abruption, n (%) 4 (0.7) 15 (0.2) 11 (0.4) 0.054 d
Placenta previa, n (%) 10 (1.8) 81 (1.3) 43 (1.7) 0.232 c
PPH, n (%) 2 (0.4) 19 (0.3) 7 (0.3) 0.894 d
Cesarean section, n (%) 346 (63.6) 3862 (62.0) 1526 (61.3) 0.604 d

HDP hypertensive disorders of pregnancy; HDP include gestational hypertension, preeclampsia, and eclampsia, GDM gestational diabetes mellitus, PPH postpartum hemorrhage

aStatistically significant differences between EMT ≤8 mm and 8 mm < EMT ≤12 mm groups

bStatistically significant differences between EMT ≤8 mm and EMT > 12 mm groups

cPearson chi-square test

dFisher’s exact test

Table 3.

Univariate and multivariate analysis of predictor variables for HDP

Predictor variable OR (95% CI) P value aOR (95% CI) P value
EMT on HCG trigger day (mm)
  ≤ 8 1.958 (1.367–2.805) < 0.001a 1.853 (1.281–2.679) 0.001a
  > 8–12 1 1
  > 12 0.984 (0.765–1.265) 0.898 1.000 (0.775–1.291) 0.999
Parity
 First 1 1
 High order 1.007 (0.783–1.295) 0.955 0.774 (0.550–1.088) 0.141
ART treatment typy
 IVF 1 1
 ICSI 0.923 (0.725–1.174) 0.514 0.961 (0.751–1.229) 0.751
Ovarian stimulation protocol
 GnRH antagonist protocol 1 1
 GnRH agonist long protocol 1.004 (0.740–1.362) 0.981 1.071 (0.784–1.463) 0.667
 GnRH agonist short protocol 1.346 (0.967–1.875) 0.078 1.205 (0.848–1.712) 0.298
 GnRH agonist super long protocol 1.319 (0.776–2.243) 0.306 1.184 (0.688–2.037) 0.542
Other protocol 1.318 (0.402–4.323) 0.648 0.878 (0.259–2.969) 0.834
Type of infertility
 Primary 1 1
 Secondary 1.155 (0.932–1.433) 0.188 1.034 (0.798–1.340) 0.799
Number of embryos transferred
 1 1 1
 2 0.828 (0.663–1.036) 0.099 0.738 (0.503–1.084) 0.121
Stage of embryo transferred
 Cleavage-stage transfer 1 1
 Blastocyst transfer 1.089 (0.857–1.384) 0.485 0.938 (0.762–1.154) 0.542
Previous cesarean section
 No 1 1
 Yes 0.577 (0.357–0.933) 0.025a 0.471 (0.275–0.804) 0.006a
Endometriosis
 No 1 1
 Yes 0.218 (0.030–1.565) 0.13 0.213 (0.029–1.545) 0.126
PCOS
 No 1 1
 Yes 1.195 (0.886–1.611) 0.243 1.031 (0.749–1.419) 0.853

ART assisted reproductive technology, IVF in vitro fertilization, ICSI intracytoplasmic sperm injection, EMT endometrial thickness, HCG human chorionic gonadotropin, GDM gestational diabetes mellitus, GnRH gonadotropin-releasing hormone, PCOS polycystic ovary syndrome, OR odds ratio, CI confidence interval, aOR adjusted odds ratio

For variables of age, BMI, estradiol and progesterone level on HCG administration day, restricted cubic splines were generated to adjust for the non-linear relationship between these continuous variables and HDP. Thus, quantitative results were not presented

a P < 0.05

Discussion

In recent years, more and more attention has been paid on the obstetric complications after IVF/ICSI-ET. The aim of this retrospective study was to explore the association between EMT on HCG trigger day and obstetric complications. We examined the predictive value of EMT on clinical outcomes in order to provide a basis for judging the optimal opportunity of ET. A thin endometrial thickness (≤8 mm) was found to be associated with an increased risk of HDP after adjusting for confounding variables, suggesting that the thin endometrium itself is a risk factor for HDP.

HDP is a group of common clinical complications in perinatal period, and a leading cause of maternal morbidity and mortality [30]. Several earlier studies have shown that advanced maternal age, primiparity, twin pregnancy, maternal comorbidities such as chronic hypertension, diabetes, overweight and obesity, and HDP history are risk factors for HDP [3133]. Therefore, we included only singleton births born to women under the age of 45 years without chronic hypertension or diabetes and adjusted for most of the above risk factors which may affect perinatal outcomes. Moreover, previous cesarean section tended to be a protective factor for HDP, but no previous studies have reported similar findings. The detailed reason for this result is unclear and requires further exploration. In addition to the known causes, the risk factors of HDP and other obstetric complications related to IVF/ICSI-ET parameters need to be further explored. The absence of the corpus luteum [34, 35] and the reduction of immunological tolerance to paternal antigens in semen through surgically obtained sperm [3638] has been supported to be risk factors for preeclampsia in the literature. And, of course, the EMT has been focused to confirm the predictive value of obstetric complications and perinatal outcomes in recent studies. Our findings are consistent to some extent with one recent study which reported that an EMT < 7.5 mm was associated with an increased risk of obstetric complications in fresh IVF cycles [16]. However, obstetric complications were defined as one or more of the placenta-related pregnancy complications (e.g., preeclampsia, placental abruption, manual removal of adherent placenta, and small for gestational age) in that study, and the separate prevalence of preeclampsia was 5.4 and 4.2% in group EMT < 7.5 mm and group EMT ≥7.5 mm (P > 0.05), respectively [16]. By retrospectively analyzing 3157 singleton deliveries, a study of Guo Z et al. [17] showed that the risk of delivering a small for gestational age (SGA) infant was higher in pregnancies with an EMT ≤ 7.5 mm compared with those with an EMT > 12 mm in fresh IVF/ICSI–ET, but no statistically significant differences were found in rates of obstetric complications. A recent research based on 5251 singleton births resulting from FET found that an EMT < 9 mm was associated with an increased risk of placenta previa [19]. He et al. reported that following ART, the risk of PPH was increased significantly when the EMT < 10 mm, and no significant differences were found in HDP, placenta previa and placental abruption [39]. However, there was no statistically significant difference in the rates of both placenta previa and PPH among the three groups in our study about fresh transfer. One possible reason for the discrepancy in different research might exist in the above studied subjects included fresh transfer, frozen transfer, or both, and our study only had fresh transfers.

The clear etiology and pathophysiology of HDP are yet to be elucidated. Preeclampsia is often accompanied by placental hypoperfusion and ischaemia [31, 40, 41]. The main cause of placental hypoperfusion is uterine spiral artery remodeling disorder [42]. Defective deep placentation is one of the possible causes of a spectrum of obstetrical syndromes (including gestational hypertension, preeclampsia, abruption placentae, and spontaneous mid-trimester abortion), which may be associated with restricted remodeling of the spiral arteries in inner myometrium [43]. During normal pregnancy, the remodeling of uterine spiral artery can reach the inner third of the myometrium, and cytotrophoblasts may deeply invade the spiral arteries within the uterine wall. By contrast, in preeclampsia, cytotrophoblast invasion of the uterus is generally shallow. Because spiral artery remodeling fails to reach the myometrium to some degree, the blood flow of placental perfusion was further limited when preeclampsia occurs [44, 45]. Our results suggested that the thin endometrium itself has a significant role in the above-mentioned process and that an appropriate endometrial thickness is important for reducing the incidence of placenta-related pregnancy complications. Further studies are needed to elucidate the histological and molecular mechanism for the effect of thin endometrium on placenta-related pregnancy complications.

To the best of our knowledge, our research is the largest single centre study of its kind, and the first to demonstrate the significant relationship between the thin endometrium and HDP in fresh IVF/ICSI transfer cycles. The EMT of our fertility patients was assessed by trained sonographers of the same team, and the embryos were cultured in the same laboratory conditions, thus the potential bias was minimal. We also recognize that our study has some limitations. Firstly, not all confounders were taken into account due to the retrospective nature of this study. For example, because of the lack of more detailed records, maternal life habit such as smoking were not adequately controlled. A previous cross-sectional study reported that the prevalence of smoking among Chinese pregnant women was only 3.8% [46]. Therefore, the unavailability of smoking data might have minimal impact on the effect estimates in this study. Secondly, maternal age was higher in the thin endometrium group than the other two groups in our study. Several previous studies also reported that older mothers were tended to have a thinner EMT [16, 17, 47]. However, we used an RCS to adjust for age in multivariate analysis, which may achieve a better adjustment of this variable. Thirdly, 68% of the patients transferred two embryos. Therefore, we additionally conducted a subgroup analysis by the number of embryos transferred (Table S1), and results from the two subgroups (one ET and two ET, respectively) were similar with the main results. Thus, the number of embryos transferred may have minimal influence on our results.

Conclusions

In summary, our data suggested that there is a significant relationship between EMT measured on the day of HCG trigger and HDP in fresh IVF/ICSI–ET cycles, and a thin endometrial lining (EMT ≤ 8 mm) is a risk factor for HDP. However, more prospective cohort studies and mechanism studies are needed to verify our conclusion. Therefore, clinicians should pay close attention to endometrial development for judging the optimal opportunity of ET, and obstetricians should remain aware of the possibility of HDP when women with a thin EMT achieve pregnancy by fresh IVF/ICSI–ET treatment cycles.

Supplementary Information

Additional file 1. (874.3KB, docx)

Acknowledgements

The authors thank the clinicians, nurses, laboratory staff and information engineers of the Center for Reproductive Medicine Affiliated to Shandong University for their contribution. Moreover, the authors thank the infertile couples who participated in this study.

Abbreviations

IVF/ICSI

In vitro fertilization/intracytoplasmic sperm injection

ET

Embryo transfer

HDP

Hypertensive disorders of pregnancy

GDM

Gestational diabetes mellitus

PPH

Postpartum hemorrhage

ART

Assisted reproductive technology

EMT

Endometrial thickness

HCG

Human chorionic gonadotropin

PGT

Preimplantation genetic testing

FET

Frozen embryo transfer

GnRH

Gonadotropin-releasing hormone

BMI

Body mass index

PCOS

Polycystic ovary syndrome

ORs

Odds ratios

aOR

Adjusted odds ratio

95% CIs

95% confidence intervals

ANOVA

Analysis of variance

RCS

Restricted cubic spline.

Authors’ contributions

SG and JM contributed to the study concept and design of this study. XL, JW, and XF analyzed data and drafted the paper. LY, JL, and MZ contributed to the review and the revision of the manuscript. All authors approved the final submitted and published versions.

Funding

This study was supported by The National Key Research and Development Program of China (2016YFC1000202 and 2018YFC1002804).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

This study was approved by the Institutional Review Board of Center for Reproductive Medicine Affiliated to Shandong University. Written informed consent was waived due to the retrospective nature, and patients’ data were used anonymously.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Shanshan Gao, Email: sdszgaoshanshan@163.com.

Jinlong Ma, Email: majinlong_sdu@163.com.

References

  • 1.Farquhar C, Marjoribanks J. Assisted reproductive technology: an overview of Cochrane Reviews. Cochrane Database Syst Rev. 2018;8(8):Cd010537. doi: 10.1002/14651858.CD010537.pub5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Kushnir VA, Barad DH, Albertini DF, Darmon SK, Gleicher N. Systematic review of worldwide trends in assisted reproductive technology 2004-2013. Reprod Biol Endocrinol. 2017;15(1):6. doi: 10.1186/s12958-016-0225-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Romundstad LB, Romundstad PR, Sunde A, von Düring V, Skjaerven R, Vatten LJ. Increased risk of placenta previa in pregnancies following IVF/ICSI; a comparison of ART and non-ART pregnancies in the same mother. Hum Reprod (Oxford, England) 2006;21(9):2353–2358. doi: 10.1093/humrep/del153. [DOI] [PubMed] [Google Scholar]
  • 4.Vermey BG, Buchanan A, Chambers GM, Kolibianakis EM, Bosdou J, Chapman MG, et al. Are singleton pregnancies after assisted reproduction technology (ART) associated with a higher risk of placental anomalies compared with non-ART singleton pregnancies? A systematic review and meta-analysis. BJOG. 2019;126(2):209–18. 10.1111/1471-0528.15227. [DOI] [PubMed]
  • 5.Wang YA, Nikravan R, Smith HC, Sullivan EA. Higher prevalence of gestational diabetes mellitus following assisted reproduction technology treatment. Hum Reprod (Oxford, England) 2013;28(9):2554–2561. doi: 10.1093/humrep/det270. [DOI] [PubMed] [Google Scholar]
  • 6.Woo I, Hindoyan R, Landay M, Ho J, Ingles SA, McGinnis LK, et al. Perinatal outcomes after natural conception versus in vitro fertilization (IVF) in gestational surrogates: a model to evaluate IVF treatment versus maternal effects. Fertil Steril. 2017;108(6):993–998. doi: 10.1016/j.fertnstert.2017.09.014. [DOI] [PubMed] [Google Scholar]
  • 7.Qin J, Wang H, Sheng X, Liang D, Tan H, Xia J. Pregnancy-related complications and adverse pregnancy outcomes in multiple pregnancies resulting from assisted reproductive technology: a meta-analysis of cohort studies. Fertil Steril. 2015;103(6):1492–1497. doi: 10.1016/j.fertnstert.2015.03.018. [DOI] [PubMed] [Google Scholar]
  • 8.Wang YA, Chughtai AA, Farquhar CM, Pollock W, Lui K, Sullivan EA. Increased incidence of gestational hypertension and preeclampsia after assisted reproductive technology treatment. Fertil Steril. 2016;105(4):920–926. doi: 10.1016/j.fertnstert.2015.12.024. [DOI] [PubMed] [Google Scholar]
  • 9.Pandey S, Shetty A, Hamilton M, Bhattacharya S, Maheshwari A. Obstetric and perinatal outcomes in singleton pregnancies resulting from IVF/ICSI: a systematic review and meta-analysis. Hum Reprod Update. 2012;18(5):485–503. doi: 10.1093/humupd/dms018. [DOI] [PubMed] [Google Scholar]
  • 10.Lessey BA, Young SL. What exactly is endometrial receptivity? Fertil Steril. 2019;111(4):611–617. doi: 10.1016/j.fertnstert.2019.02.009. [DOI] [PubMed] [Google Scholar]
  • 11.Paulson RJ. Introduction: endometrial receptivity: evaluation, induction and inhibition. Fertil Steril. 2019;111(4):609–610. doi: 10.1016/j.fertnstert.2019.02.029. [DOI] [PubMed] [Google Scholar]
  • 12.Kumbak B, Erden HF, Tosun S, Akbas H, Ulug U, Bahçeci M. Outcome of assisted reproduction treatment in patients with endometrial thickness less than 7 mm. Reprod BioMed Online. 2009;18(1):79–84. doi: 10.1016/S1472-6483(10)60428-2. [DOI] [PubMed] [Google Scholar]
  • 13.Liu KE, Hartman M, Hartman A, Luo ZC, Mahutte N. The impact of a thin endometrial lining on fresh and frozen-thaw IVF outcomes: an analysis of over 40 000 embryo transfers. Hum Reprod (Oxford, England) 2018;33(10):1883–1888. doi: 10.1093/humrep/dey281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yuan X, Saravelos SH, Wang Q, Xu Y, Li TC, Zhou C. Endometrial thickness as a predictor of pregnancy outcomes in 10787 fresh IVF-ICSI cycles. Reprod BioMed Online. 2016;33(2):197–205. doi: 10.1016/j.rbmo.2016.05.002. [DOI] [PubMed] [Google Scholar]
  • 15.Gao G, Cui X, Li S, Ding P, Zhang S, Zhang Y. Endometrial thickness and IVF cycle outcomes: a meta-analysis. Reprod BioMed Online. 2020;40(1):124–133. doi: 10.1016/j.rbmo.2019.09.005. [DOI] [PubMed] [Google Scholar]
  • 16.Oron G, Hiersch L, Rona S, Prag-Rosenberg R, Sapir O, Tuttnauer-Hamburger M, et al. Endometrial thickness of less than 7.5 mm is associated with obstetric complications in fresh IVF cycles: a retrospective cohort study. Reprod BioMed Online. 2018;37(3):341–8. 10.1016/j.rbmo.2018.05.013. [DOI] [PubMed]
  • 17.Guo Z, Xu X, Zhang L, Zhang L, Yan L, Ma J. Endometrial thickness is associated with incidence of small-for-gestational-age infants in fresh in vitro fertilization-intracytoplasmic sperm injection and embryo transfer cycles. Fertil Steril. 2020;113(4):745–752. doi: 10.1016/j.fertnstert.2019.12.014. [DOI] [PubMed] [Google Scholar]
  • 18.Shi Y, Sun Y, Hao C, Zhang H, Wei D, Zhang Y, et al. Transfer of fresh versus frozen embryos in ovulatory women. N Engl J Med. 2018;378(2):126–36. 10.1056/NEJMoa1705334. [DOI] [PubMed]
  • 19.Jing S, Li X, Zhang S, Gong F, Lu G, Lin G. The risk of placenta previa and cesarean section associated with a thin endometrial thickness: a retrospective study of 5251 singleton births during frozen embryo transfer in China. Arch Gynecol Obstet. 2019;300(5):1227–1237. doi: 10.1007/s00404-019-05295-6. [DOI] [PubMed] [Google Scholar]
  • 20.Zhang J, Liu H, Mao X, Chen Q, Si J, Fan Y, et al. Effect of endometrial thickness on birthweight in frozen embryo transfer cycles: an analysis including 6181 singleton newborns. Hum Reprod (Oxford, England) 2019;34(9):1707–1715. doi: 10.1093/humrep/dez103. [DOI] [PubMed] [Google Scholar]
  • 21.Gestational Hypertension and Preeclampsia: ACOG Practice Bulletin, Number 222. Obstet Gynecol. 2020;135(6):e237–e60. [DOI] [PubMed]
  • 22.2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(Suppl 1):S14–s31. [DOI] [PubMed]
  • 23.Jauniaux E, Alfirevic Z, Bhide AG, Belfort MA, Burton GJ, Collins SL, et al. Placenta Praevia and placenta Accreta: diagnosis and management: green-top guideline No. 27a. BJOG. 2019;126(1):e1–e48. 10.1111/1471-0528.15306. [DOI] [PubMed]
  • 24.Oyelese Y, Ananth CV. Placental abruption. Obstet Gynecol. 2006;108(4):1005–1016. doi: 10.1097/01.AOG.0000239439.04364.9a. [DOI] [PubMed] [Google Scholar]
  • 25.No PB. 183: Postpartum Hemorrhage. Obstet Gynecol. 2017;130(4):e168–ee86. doi: 10.1097/AOG.0000000000002351. [DOI] [PubMed] [Google Scholar]
  • 26.Vercellini P, Viganò P, Somigliana E, Fedele L. Endometriosis: pathogenesis and treatment. Nat Rev Endocrinol. 2014;10(5):261–275. doi: 10.1038/nrendo.2013.255. [DOI] [PubMed] [Google Scholar]
  • 27.Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril. 2004;81(1):19–25. [DOI] [PubMed]
  • 28.Escobar-Morreale HF. Polycystic ovary syndrome: definition, aetiology, diagnosis and treatment. Nat Rev Endocrinol. 2018;14(5):270–284. doi: 10.1038/nrendo.2018.24. [DOI] [PubMed] [Google Scholar]
  • 29.Harrell FE. Regression modeling strategies with applications to linear models, logistic and ordinal regression, and survival analysis (second edition) Switzerland: Springer International Publishing AG; 2015. [Google Scholar]
  • 30.Mol BWJ, Roberts CT, Thangaratinam S, Magee LA, de Groot CJM, Hofmeyr GJ. Pre-eclampsia. Lancet. 2016;387(10022):999–1011. doi: 10.1016/S0140-6736(15)00070-7. [DOI] [PubMed] [Google Scholar]
  • 31.Phipps EA, Thadhani R, Benzing T, Karumanchi SA. Pre-eclampsia: pathogenesis, novel diagnostics and therapies. Nat Rev Nephrol. 2019;15(5):275–289. doi: 10.1038/s41581-019-0119-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Umesawa M, Kobashi G. Epidemiology of hypertensive disorders in pregnancy: prevalence, risk factors, predictors and prognosis. Hypertens Res. 2017;40(3):213–220. doi: 10.1038/hr.2016.126. [DOI] [PubMed] [Google Scholar]
  • 33.Ye C, Ruan Y, Zou L, Li G, Li C, Chen Y, et al. The 2011 survey on hypertensive disorders of pregnancy (HDP) in China: prevalence, risk factors, complications, pregnancy and perinatal outcomes. PLoS One. 2014;9(6):e100180-e. doi: 10.1371/journal.pone.0100180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Li Y, Zhao S, Yu Y, Ma C, Zheng Y, Niu Y, et al. Risk factors associated with pre-eclampsia in pregnancies conceived by ART. Reprod BioMed Online. 2019;39(6):969–75. 10.1016/j.rbmo.2019.09.006. [DOI] [PubMed]
  • 35.Wang Z, Liu H, Song H, Li X, Jiang J, Sheng Y, et al. Increased risk of pre-eclampsia after frozen-thawed embryo transfer in programming cycles. Front Med. 2020;7:104. 10.3389/fmed.2020.00104. [DOI] [PMC free article] [PubMed]
  • 36.Kenny LC, Kell DB. Immunological tolerance, pregnancy, and preeclampsia: the roles of semen microbes and the father. Front Med. 2017;4:239. doi: 10.3389/fmed.2017.00239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Saftlas AF, Rubenstein L, Prater K, Harland KK, Field E, Triche EW. Cumulative exposure to paternal seminal fluid prior to conception and subsequent risk of preeclampsia. J Reprod Immunol. 2014;101–102:104–110. doi: 10.1016/j.jri.2013.07.006. [DOI] [PubMed] [Google Scholar]
  • 38.Galaviz-Hernandez C, Sosa-Macias M, Teran E, Garcia-Ortiz JE, Lazalde-Ramos BP. Paternal determinants in preeclampsia. Front Physiol. 2018;9:1870. doi: 10.3389/fphys.2018.01870. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.He L, Zhang Z, Li H, Li Y, Long L, He W. Correlation between endometrial thickness and perinatal outcome for pregnancies achieved through assisted reproduction technology. J Perinat Med. 2019;48(1):16–20. doi: 10.1515/jpm-2019-0159. [DOI] [PubMed] [Google Scholar]
  • 40.Burton GJ, Woods AW, Jauniaux E, Kingdom JC. Rheological and physiological consequences of conversion of the maternal spiral arteries for uteroplacental blood flow during human pregnancy. Placenta. 2009;30(6):473–482. doi: 10.1016/j.placenta.2009.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Naderi S, Tsai SA, Khandelwal A. Hypertensive Disorders of Pregnancy. Curr Atheroscler Rep. 2017;19(3):15. doi: 10.1007/s11883-017-0648-z. [DOI] [PubMed] [Google Scholar]
  • 42.Fisher SJ. Why is placentation abnormal in preeclampsia? Am J Obstet Gynecol. 2015;213(4 Suppl):S115–S122. doi: 10.1016/j.ajog.2015.08.042. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Brosens I, Pijnenborg R, Vercruysse L, Romero R. The “great obstetrical syndromes” are associated with disorders of deep placentation. Am J Obstet Gynecol. 2011;204(3):193–201. doi: 10.1016/j.ajog.2010.08.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Burrows TD, King A, Loke YW. Expression of adhesion molecules by endovascular trophoblast and decidual endothelial cells: implications for vascular invasion during implantation. Placenta. 1994;15(1):21–33. doi: 10.1016/S0143-4004(05)80233-4. [DOI] [PubMed] [Google Scholar]
  • 45.Lyall F, Robson SC, Bulmer JN. Spiral Artery Remodeling and Trophoblast Invasion in Preeclampsia and Fetal Growth Restriction: Relationship to Clinical Outcome. Hypertension. 2013. [DOI] [PubMed]
  • 46.Xu X, Rao Y, Wang L, Liu S, Guo JJ, Sharma M, et al. Smoking in pregnancy: a cross-sectional study in China. Tob Induc Dis. 2017;15:35. doi: 10.1186/s12971-017-0140-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Wang L, Lv S, Mao W, Bai E, Yang X. Fecundity disorders in older women: declines in follicular development and endometrial receptivity. BMC Womens Health. 2020;20(1):115. doi: 10.1186/s12905-020-00979-7. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1. (874.3KB, docx)

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


Articles from Reproductive Biology and Endocrinology : RB&E are provided here courtesy of BMC

RESOURCES