Maternal serum anti-Müllerian hormone at 11-13 weeks' gestation in the prediction of preeclampsia

A Scoping Review of Risk Factors of Hypertensive Disorders of Pregnancy in Black Women Living in High-Income Countries: An Intersectional Approach

BACKGROUND

Hypertensive disorders of pregnancy (HDP) are maternity-related increases in blood pressure (eg, gestational hypertension, preeclampsia, and eclampsia). Compared with women of other races in high-income countries, Black women have a comparatively higher risk of an HDP. Intersectionality helps to provide a deeper understanding of the multifactorial identities that affect health outcomes in this high-risk population.

OBJECTIVE

In this review, we sought to explore the literature on HDP risk factors in Black women living in high-income countries and to assess the interaction of these risk factors using the conceptual framework of intersectionality.

METHODS

We conducted this review using the Arksey and O'Malley methodology with enhancements from Levac and colleagues. Published articles in English on HDP risk factors with a sample of not less than 10% of Black women in high-income countries were included. Six databases, theses, and dissertations were searched from January 2000 to July 2021. A thematic analysis was used to summarize the results.

RESULTS

A final total of 36 studies were included from the 15 480 studies retrieved; 4 key themes of HDP risks were identified: (1) biological; (2) individual traditional; (3) race and ethnicity, geographical location, and immigration status; and (4) gender related. These intersectional HDP risk factors intersect to increase the risk of HDP among Black women living in high-income countries.

CONCLUSION

Upstream approaches are recommended to lower the risks of HDP in this population.

Dietary acid load and risk of diminished ovarian reserve: a case-control study

BACKGROUND

The epidemiologic evidence on the association between acid load potential of diet and the risk of diminished ovarian reserve (DOR) is scarce. We aim to explore the possible relationship between dietary acid load (DAL), markers of ovarian reserve and DOR risk in a case-control study.

METHODS

370 women (120 women with DOR and 250 women with normal ovarian reserve as controls), matched by age and BMI, were recruited. Dietary intake was obtained using a validated 80-item semi-quantitative food frequency questionnaire (FFQ). The DAL scores including the potential renal acid load (PRAL) and net endogenous acid production (NEAP) were calculated based on nutrients intake. NEAP and PRAL scores were categorized by quartiles based on the distribution of controls. Antral follicle count (AFC), serum antimullerian hormone (AMH) and anthropometric indices were measured. Logistic regression models were used to estimate multivariable odds ratio (OR) of DOR across quartiles of NEAP and PRAL scores.

RESULTS

Following increase in PRAL and NEAP scores, serum AMH significantly decreased in women with DOR. Also, AFC count had a significant decrease following increase in PRAL score (P = 0.045). After adjustment for multiple confounding variables, participants in the top quartile of PRAL had increased OR for DOR (OR: 1.26; 95%CI: 1.08-1.42, P = 0.254).

CONCLUSION

Diets with high acid-forming potential may negatively affect ovarian reserve in women with DOR. Also, high DAL may increase the risk of DOR. The association between DAL and markers of ovarian reserve should be explored in prospective studies and clinical trials.

Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications

Introduction

Machine learning (ML) corresponds to a wide variety of methods that use mathematics, statistics and computational science to learn from multiple variables simultaneously. By means of pattern recognition, ML methods are able to find hidden correlations and accomplish accurate predictions regarding different conditions. ML has been successfully used to solve varied problems in different areas of science, such as psychology, economics, biology and chemistry. Therefore, we wondered how far it has penetrated into the field of obstetrics and gynecology.

Aim

To describe the state of art regarding the use of ML in the context of pregnancy diseases and complications.

Methodology

Publications were searched in PubMed, Web of Science and Google Scholar. Seven subjects of interest were considered: gestational diabetes mellitus, preeclampsia, perinatal death, spontaneous abortion, preterm birth, cesarean section, and fetal malformations.

Current state

ML has been widely applied in all the included subjects. Its uses are varied, the most common being the prediction of perinatal disorders. Other ML applications include (but are not restricted to) biomarker discovery, risk estimation, correlation assessment, pharmacological treatment prediction, drug screening, data acquisition and data extraction. Most of the reviewed articles were published in the last five years. The most employed ML methods in the field are non-linear. Except for logistic regression, linear methods are rarely used.

Future challenges

To improve data recording, storage and update in medical and research settings from different realities. To develop more accurate and understandable ML models using data from cutting-edge instruments. To carry out validation and impact analysis studies of currently existing high-accuracy ML models.

Conclusion

The use of ML in pregnancy diseases and complications is quite recent, and has increased over the last few years. The applications are varied and point not only to the diagnosis, but also to the management, treatment, and pathophysiological understanding of perinatal alterations. Facing the challenges that come with working with different types of data, the handling of increasingly large amounts of information, the development of emerging technologies, and the need of translational studies, it is expected that the use of ML continue growing in the field of obstetrics and gynecology.

Serum anti-Müllerian hormone levels are associated with perinatal outcomes in women undergoing IVF/ICSI: A multicenter retrospective cohort study

INTRODUCTION

Anti-Müllerian hormone (AMH) level has long been considered as a serum biomarker of ovarian reserve clinically, while emerging data suggest that serum AMH level may also predict pregnancy outcomes. However, whether pregestational serum AMH levels are related to perinatal outcomes among women undergoing in vitro fertilization (IVF)/intracytoplasmic sperm injection (ICSI) cycles is unknown.

OBJECTIVE

To explore the association between different AMH levels and perinatal outcomes in women with live births in IVF/ICSI.

METHODS

This multicenter retrospective cohort study was conducted among three different provinces in China, from January 2014 to October 2019. A total of 13,763 IVF/ICSI cycles with 5657 live-delivery pregnant women and 6797 newborns were recruited. Participants were categorized into three groups according to the <25th (low), 25 to 75th (average), and >75th (high) percentile of serum AMH concentration. Perinatal outcomes were compared among groups. Subgroup analyses were conducted based on the number of live births.

RESULTS

Among women with singleton deliveries, low and high AMH levels increased the risk of intrahepatic cholestasis of pregnancy (ICP) (aOR1 = 6.02, 95%CI: 2.10-17.22; aOR2 = 3.65, 95%CI:1.32-10.08) and decreased the risk of macrosomia (aOR1 = 0.65, 95%CI:0.48-0.89; aOR2 = 0.72, 95%CI:0.57-0.96), while low AMH reduced the risk of large for gestational age (LGA, aOR=0.74, 95%CI:0.59-0.93) and premature rupture of membrane (PROM, aOR=0.50, 95%CI:0.31-0.79)compared with the average AMH group. In women with multiple deliveries, high AMH levels increased the risks of gestational diabetes mellitus (GDM, aOR=2.40, 95%CI:1.48-3.91) and pregnancy-induced hypertension (PIH, aOR=2.26, 95%CI:1.20-4.22) compared with the average AMH group, while low AMH levels increased the risk of ICP (aOR=14.83, 95%CI:1.92-54.30). However, there was no evidence of differences in preterm birth, congenital anomaly, and other perinatal outcomes among the three groups in both singleton and multiple deliveries.

CONCLUSIONS

Abnormal AMH levels increased the risk of ICP regardless of the number of live births for women undergoing IVF/ICSI, while high AMH levels increased the risks of GDM and PIH in multiple deliveries. However, serum AMH levels were not associated with adverse neonatal outcomes in IVF/ICSI. The underlying mechanism warrants further investigation.

Preconception ovarian reserve and placenta-mediated pregnancy complications among infertile women

RESEARCH QUESTION

Are preconception ovarian reserve markers, such as Anti-Mullerian hormone and antral follicle count, associated with preeclampsia and placenta mediated pregnancy complications among women with unexplained infertility who conceive with superovulation?

DESIGN

This is a secondary analysis of women with unexplained infertility who had a singleton live birth after enrollment in the Analysis of Multiple Intrauterine Gestations after Ovarian Stimulation (AMIGOS) trial that randomized couples to superovulation with letrozole, clomiphene, or gonadotropins with insemination for up to 4 cycles.

RESULTS

Compared to controls (N = 156), women who developed preeclampsia (N = 17) had lower Anti-Mullerian hormone levels (2.24 ± 1.20 vs. 2.89 ± 2.32, p = 0.07) and lower antral follicle count (18 ± 7.67 vs. 21 ± 11.43, p = 0.16); though these differences were not statistically significant. There was no relationship between Anti-Mullerian hormone (OR: 1.00, 95% CI: 0.76-1.25) or antral follicle count (OR: 0.98, 95% CI 0.93-1.04) with preeclampsia and between Anti-Mullerian hormone (OR: 1.00, 95% CI: 0.83-1.17) and antral follicle count (OR: 1.00, 95% CI: 0.97-1.04) with placenta medicated pregnancy complications after adjusting for age, BMI and race.

CONCLUSIONS

Preconception ovarian reserve markers are not associated with preeclampsia and placenta mediated pregnancy complications among women with unexplained infertility who conceive with superovulation with insemination.

Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm

BACKGROUND

The risk factors of hypertensive disorders in pregnancy (HDP) could be summarized into three categories: clinical epidemiological factors, hemodynamic factors and biochemical factors.

OBJECTIVE

To establish models for early prediction and intervention of HDP.

METHODS

This study used the three types of risk factors and support vector machine (SVM) to establish prediction models of HDP at different gestational weeks.

RESULTS

The average accuracy of the model was gradually increased when the pregnancy progressed, especially in the late pregnancy 28-34 weeks and ⩾ 35 weeks, it reached more than 92%.

CONCLUSION

Multi-risk factors combined with dynamic gestational weeks' prediction of HDP based on machine learning was superior to static and single-class conventional prediction methods. Multiple continuous tests could be performed from early pregnancy to late pregnancy.

Association between ovarian reserve and preeclampsia: a cohort study

Background

The risk of cardiovascular disease in women increases after menopause. It has been shown that women with lower pre-menopausal ovarian reserve may experience increased cardiovascular risk. We sought to determine whether there is any association between ovarian reserve, as assessed by Anti-Mullerian hormone (AMH), and preeclampsia (PE).

Methods

Subjects of this study were selected from among participants of the Tehran Lipid and Glucose Study (TLGS), a population-based cohort with a 15-year follow-up (1998–2014). Out of 2412 women aged 20–50 years, there were 781 women who met eligibility criteria, including having comprehensive data on their reproductive assessment and ovarian reserve status, identified based on age-specific AMH levels according to the exponential–normal three-parameter model that was measured before pregnancy.

There were 80 and 701 participants in the preeclampsia and non-PE groups, respectively. The association between dichotomous outcome variable PE and age-specific AMH quartiles was evaluated using pooled logistic regression.

Results

PE was observed in 23 (11.1%), 12 (6.4%), 26 (13.3%) and 19 (10%) women in the 1st, 2nd, 3rd and 4th quartiles of pre-pregnancy age-specific AMH, respectively (P = 0.16). Median and inter-quartile range of serum AMH levels was 1.05 (0.36–2.2) mg/L in women who experienced PE compared with 0.85 (0.28–2.1) mg/L in women with normotensive pregnancies (P = 0.53). Based on the pooled logistic regression analysis, the effect of age-specific AMH quartiles on PE progression (adjusted for age, BMI, smoking status, and family history of hypertension) were not significant (OR_{1st vs 4th}: 1.5, P-value: 0.1, CI: (0.9, 2.4)).

Conclusions

Age-specific AMH may not be a suitable marker for prediction of PE. Further longitudinal studies, considering pre-conception measurement of AMH, are recommended for better interpretation of the association between ovarian reserve status and PE.

Serum anti mullerian hormone and renalase levels in predicting the risk of preeclampsia

OBJECTIVE

The aim of the study was to explore the association of serum AMH and Renalase with the risk of preeclampsia thereby assessing them as screening tools, reducing the risk of gravid consequences of preeclampsia.

MATERIALS AND METHODS

This cross-sectional study recruited n = 95 pregnant women between 14 and 32 gestational weeks. They were categorized as a) women with gestational hypertension (n = 45); b) women with pre-eclampsia (n = 20) and c) normotensive pregnant women (n = 30) according to the ACOG criteria. Anthropometrics data and blood and urine samples were collected. AMH and Renalase levels were measured by ELISA assay.

RESULTS

The mean age of study cohort was 27.3 ± 6.2 year and weight was 65.1 ± 14.1 kg. Blood pressures were significantly higher in pre-eclamptic patients versus both the gestational hypertensive females and controls (p < 0.05). AMH was found to be significantly higher in controls but no difference was observed between gestational hypertensive and pre-eclamptic patients. No difference was seen for serum Renalase among the three groups (p > 0.05). AMH showed a negative weak correlation with diastolic blood pressure (r = -0.272; p = 0.008) that remained significant even after adjustment (r = -0.236; p = 0.023) whereas Renalase did not show any difference (r = -0.051; p > 0.05). Females with low levels of AMH were 1.07 times at risk of developing hypertension even after adjustment for age and BMI (p < 0.05).

CONCLUSION

Low AMH levels may lead to hypertension in pregnancy suggesting a role in detecting vascular diseases as well as its effect on ovarian aging. However, further research is required to establish a causal relationship.

Maternal serum anti-Müllerian hormone in Sudanese women with preeclampsia

Objectives

A case–control study was conducted at Omdurman Maternity Tertiary Hospital, Sudan, during the period from May to August 2014 to investigate AMH level in women with preeclampsia compared to healthy controls. The cases were women with preeclampsia and healthy pregnant women were the controls. The obstetrics and medical history was gathered using a questionnaire. AMH level was measured using ELISA.

Results

There was no significant difference between the two groups (40 in each arm of the study) in the age, parity and gestational age. Thirty-three of the 40 cases were patients with severe preeclampsia. There was no significant difference in median inter-quartile of the AMH level between the women with preeclampsia and the controls [0.700 (0.225–1.500) vs. 0.700 (0.400–1.275) ng/ml, P = 0.967]. In a linear regression model there was no association between the log of AMH and age, parity, gestational age, BMI, hemoglobin level and preeclampsia.

Anti-Müllerian Hormone as a marker of ovarian reserve in relation to cardio-metabolic health: a narrative review

The final hallmark of diminishing ovarian reserve is menopause, a state known to be inextricably linked to the deterioration of female cardiovascular health. The menopausal transition is associated with an increased risk of future cardiovascular morbidity and mortality, irrespective of chronological age. The aim of this narrative review is to identify studies investigating the association between Anti-Müllerian Hormone (AMH), a marker of ovarian reserve status, and factors of cardio-metabolic risk. Both for regularly cycling women and women with polycystic ovary syndrome (PCOS), current reports are conflicting and heterogeneous, with some indicating presence and others absence of a correlation between AMH and cardio-metabolic risk factors. The occurrence of hypertensive complications in pregnancy, known to increase the risk of later cardiovascular sequelae, is associated with reduced AMH levels in various study populations. Further research remains a prerequisite in order to further elucidate a possible common mechanism for ovarian and cardiovascular decline. More knowledge of the temporal or causal association between ovarian and cardiovascular decline may enable timely identification of women with increased risk of cardiovascular disease or early onset ovarian aging. Following this, AMH may in the future play a role beyond the scope of female reproduction.