Late reproduction is associated with extended female survival but not with familial longevity.

RESEARCH QUESTION: Are age at last childbirth and number of children, as facets of female reproductive health, related to individual lifespan or familial longevity? DESIGN: This observational study included 10,255 female participants from a multigenerational historical cohort, the LINKing System for historical family reconstruction (LINKS), and 1258 female participants from 651 long-lived families in the Leiden Longevity Study (LLS). Age at last childbirth and number of children, as outcomes of reproductive success, were compared with individual and familial longevity using the LINKS dataset. In addition, the genetic predisposition in the form of a polygenic risk score (PRS) for age at menopause was studied in relation to familial longevity using the LLS dataset. RESULTS: For each year increase in the age of the birth of the last child, a woman's lifespan increased by 0.06 years (22 days; P = 0.002). The yearly risk for having a last child was 9% lower in women who survived to the oldest 10% of their birth cohort (hazard ratio 0.91, 95% CI 0.86-0.95). Women who came from long-living families did not have a higher mean age of last childbirth. There was no significant association between familial longevity and genetic predisposition to age at menopause. CONCLUSIONS: Female reproductive health associates with a longer lifespan. Familial longevity does not associate to extended reproductive health. Other factors in somatic maintenance that support a longer lifespan are likely to have an impact on reproductive health.

A systematic review of the association between modifiable lifestyle factors and circulating anti-Müllerian hormone.

BACKGROUND: Levels of anti-Müllerian hormone (AMH) are known to be associated with lifestyle determinants such as smoking and oral contraception (OC) use. When measuring AMH in clinical practice, it is essential to know which factors may influence circulating levels or ovarian reserve in general. OBJECTIVE AND RATIONALE: To date, there is no systematic review or summarizing consensus of the nature and magnitude of the relation between AMH and modifiable lifestyle factors. The purpose of this review was to systematically assess the evidence on association of lifestyle behaviors with circulating AMH levels. SEARCH METHODS: We performed a pre-registered systematic review of publications in Embase and PubMed on the lifestyle factors BMI, smoking, OC use, alcohol consumption, caffeine consumption, physical activity, and waist-hip ratio (WHR) in relation to circulating AMH levels up to 1 November 2023. The search strategy included terms such as 'Anti-Mullerian hormone', 'lifestyle', and 'women'. Studies were considered eligible if the association between at least one of the lifestyle factors of interest and AMH was assessed in adult women. The quality of included studies was assessed using the Study Quality Assessment Tools of the National Heart, Lung, and Blood Institute. The results were presented as ranges of the most frequently used association measure for studies that found a significant association in the same direction. OUTCOMES: A total of 15 072 records were identified, of which 65 studies were eligible for inclusion, and 66.2% of the studies used a cross-sectional design. The majority of studies investigating BMI, smoking, OC use, and physical activity reported significant inverse associations with AMH levels. For WHR, alcohol, and caffeine use, the majority of studies did not find an association with AMH. For all determinants, the effect measures of the reported associations were heterogeneous. The mean difference in AMH levels per unit increase in BMI ranged from -0.015 to -0.2 ng/ml in studies that found a significant inverse association. The mean difference in AMH levels for current smokers versus non-smokers ranged from -0.4 to -1.1 ng/ml, and -4% to -44%, respectively. For current OC use, results included a range in relative mean differences in AMH levels of -17% to -31.1%, in addition to a decrease of 11 age-standardized percentiles, and an average decrease of 1.97 ng/ml after 9 weeks of OC use. Exercise interventions led to a decrease in AMH levels of 2.8 pmol/l to 13.2 pmol/l after 12 weeks in women with polycystic ovary syndrome or a sedentary lifestyle. WIDER IMPLICATIONS: Lifestyle factors are associated with differences in AMH levels and thus should be taken into account when interpreting individual AMH measurements. Furthermore, AMH levels can be influenced by the alteration of lifestyle behaviors. While this can be a helpful tool for clinical and lifestyle counseling, the nature of the relation between the observed differences in AMH and the true ovarian reserve remains to be assessed. REGISTRATION NUMBER: PROSPERO registration ID: CRD42022322575.

Preeclampsia prediction with blood pressure measurements: A global external validation of the ALSPAC models.

OBJECTIVE: The prediction of preeclampsia in pregnancy has resulted in a plethora of prognostic models. Yet, very few make it past the development stage and most fail to influence clinical practice. The timely identification of high-risk pregnant women could deliver a tailored antenatal care regimen, particularly in low-resource settings. This study externally validated and calibrated previously published models that predicted the risk of preeclampsia, based on blood pressure (BP) at multiple time points in pregnancy, in a geographically diverse population. METHODS: The prospective INTERBIO-21st Fetal Study included 3,391 singleton pregnancies from Brazil, Kenya, Pakistan, South Africa, Thailand and the UK, 2012-2018. Preeclampsia prediction was based on baseline characteristics, BP and deviation from the expected BP trajectory at multiple time points in pregnancy. The prediction rules from the Avon Longitudinal Study of Parents and Children (ALSPAC) were implemented in the INTERBIO-21st cohort. RESULTS: Model discrimination was similar to the development cohort. Performance was best with baseline characteristics and a BP measurement at 34 weeks' gestation (AUC 0.85, 95 % CI 0.80-0.90). The ALSPAC models largely overestimated the true risk of preeclampsia incidence in the INTERBIO-21st cohort. CONCLUSIONS: After recalibration, these prediction models could potentially serve as a risk stratifying tool to help identify women who might benefit from increased surveillance during pregnancy.

Role of AMH in Prediction of Menopause.

Anti-Müllerian Hormone (AMH) is produced by small antral follicles and has evolved over the past three decades as an assumed potential marker of the number of follicles in the human ovaries, also known as ovarian reserve. This quantitative measure, given the gradual decline over time and its non-replenishable feature, could be the dreamed marker for predicting the final exhaustion of ovarian storage: the post-menopause. This introductory chapter summarizes current knowledge with regard to the contribution of serum AMH measurements to predict age of normal menopause and critically discuss its potential in this regard. Furthermore, its predictive role in the context of menopause in association with several frequently occurring fertility disorders such as premature menopause, polycystic ovarian syndrome and endometriosis are discussed. Overall, while ovarian reserve markers including AMH are unmistakably related to age at menopause, they are insufficiently precise to inform on an individual's journey of ovarian aging.

Serum anti-Müllerian hormone levels in women are unstable in the postpartum period but return to normal within 5 months: a longitudinal study.

PURPOSE: Anti-Müllerian hormone (AMH) levels fall during pregnancy but the amount of time required for AMH levels to return to normal has not been accurately determined. We have previously shown that AMH levels have yet to return to normal in some women at 3-months postpartum. In this study, AMH levels were examined at 1- and 5-months postpartum to examine whether AMH levels had returned to normal within this interval. METHODS: Longitudinal study involving 38 pregnant women, with serum samples taken in the first trimester, third trimester, 1-month postpartum, 5-months postpartum and 4-6 years postpartum. Participants were recruited from a tertiary maternity clinic (single centre). All women in the study were intending to breastfeed exclusively for at least 5 months, with all 38 participants achieving this at 1-month postpartum and 36/38 after 5 months. RESULTS: Serum AMH concentrations had not returned to expected non-pregnant levels by 1-month postpartum. At 5-months postpartum, mean AMH concentrations were similar to expected non-pregnant levels but the rank order of AMH concentrations was still dissimilar to the non-pregnant state. CONCLUSIONS: The regulation of AMH secretion appears to be distinctly different in non-pregnant, pregnant and postpartum populations. This may affect the conclusions that can be drawn from AMH measurements in women during pregnancy and the postpartum period.

Anti-Müllerian Hormone Levels and Risk of Cancer in Women.

OBJECTIVES: To examine if age-specific anti-Müllerian hormone (AMH) levels are associated with cancer risk; and to investigate if age-related AMH trajectories differ between women who develop cancer and women who do not. More specifically, we examined associations with breast cancer, cancers in other tissues expressing AMH receptor AMHR2, and cancers in non-AMHR2-expressing tissues. STUDY DESIGN: We included longitudinal data from 3025 women in the prospective Doetinchem Cohort Study. Cox proportional hazards models were used to assess the association of baseline age-specific AMH tertiles with cancer. We applied linear mixed models to compare age-related AMH trajectories between women who were diagnosed with cancer and women who were not. MAIN OUTCOME MEASURES: Cancer (n = 385; 139 breast cancers, 112 cancers in other AMHR2-expressing tissues, 134 cancers in non-AMHR2-expressing tissues). RESULTS: Overall, baseline age-specific AMH levels were not associated with cancer risk, although in women ≤ 40 years an increased risk was suggested for breast cancer (HRT2:T1 = 2.06, 95%CI = 0.95-4.48; HRT3:T1 = 2.03, 95%CI = 0.91-4.50). Analysis of age-related AMH trajectories suggested that AMH levels were higher at younger ages and declined faster in women who were diagnosed with cancer compared with women who were not, but our results did not provide evidence for actual differences in trajectories. CONCLUSIONS: Our results did not provide evidence for an association between age-specific AMH levels and age-related trajectories and risk of cancer. However, effect estimates for breast cancer were in line with risk-increasing effects found in previous studies.

Prediction models for preeclampsia: A systematic review.

BACKGROUND: Preeclampsia is a disease specific to pregnancy that can cause severe maternal and foetal morbidity and mortality. Early identification of women at higher risk for preeclampsia could potentially aid early prevention and treatment. Although a plethora of preeclampsia prediction models have been developed in recent years, individualised prediction of preeclampsia is rarely used in clinical practice. OBJECTIVES: The objective of this systematic review was to provide an overview of studies on preeclampsia prediction. STUDY DESIGN: Relevant research papers were identified through a MEDLINE search up to 1 January 2017. Prognostic studies on the prediction of preeclampsia or preeclampsia-related disorders were included. Quality screening was performed with the Quality in Prognostic Studies (QUIPS) tool. RESULTS: Sixty-eight prediction models from 70 studies with 425,125 participants were selected for further review. The number of participants varied and the gestational age at prediction varied widely across studies. The most frequently used predictors were medical history, body mass index, blood pressure, parity, uterine artery pulsatility index, and maternal age. The type of predictor (maternal characteristics, ultrasound markers and/or biomarkers) was not clearly associated with model discrimination. Few prediction studies were internally (4%) or externally (6%) validated. CONCLUSIONS: To date, multiple and widely varying models for preeclampsia prediction have been developed, some yielding promising results. The high degree of between-study heterogeneity impedes selection of the best model, or an aggregated analysis of prognostic models. Before multivariable preeclampsia prediction can be clinically implemented universally, further validation and calibration of well-performing prediction models is needed.

Can Menopause Prediction Be Improved With Multiple AMH Measurements? Results From the Prospective Doetinchem Cohort Study.

CONTEXT: Anti-Müllerian hormone (AMH) levels are used worldwide as a screening tool for the duration of the female reproductive lifespan. Although AMH levels are associated with age at menopause, individual predictions of menopause with a single AMH measurement are unreliable. OBJECTIVE: This study investigated whether individual AMH decline patterns can improve the prediction of menopause compared with a single measurement. DESIGN: The study population comprised 2434 premenopausal women from the population-based Doetinchem Cohort Study. Participants were followed up every 5 years for a total of 20 years, and AMH was measured in 6699 plasma samples with the picoAMH assay. Longitudinal statistical modeling was combined with time varying Cox modeling, to integrate multiple AMH measurements per woman. RESULTS: The mean age at menopause was 50 years, and 7.4% of the women who reached menopause during follow-up did so before age 45 years. For a 25-year-old, the AMH decline rate between ages 20 and 25 years increased the C-statistic of menopause prediction from 0.64 to 0.69. Beyond that age, the AMH decline rate did not improve predictions of menopause or early menopause. For women younger than age 30 years, for whom menopause prediction is arguably most relevant, the models underestimated the risk of early menopause. CONCLUSION: These results suggest that knowledge of the AMH decline rate does not improve the prediction of menopause. Based on the low discriminative ability and underestimation of the risk of early menopause, the use of AMH as a screening method for the timing of menopause cannot currently be advocated.

Anti-Müllerian Hormone Trajectories Are Associated With Cardiovascular Disease in Women: Results From the Doetinchem Cohort Study.

BACKGROUND: Earlier age at menopause is widely considered to be associated with an increased risk of cardiovascular disease. However, the underlying mechanisms of this relationship remain undetermined. Indications suggest that anti-Müllerian hormone (AMH), an ovarian reserve marker, plays a physiological role outside of the reproductive system. Therefore, we investigated whether longitudinal AMH decline trajectories are associated with an increased risk of cardiovascular disease (CVD) occurrence. METHODS: This study included 3108 female participants between 20 and 60 years of age at baseline of the population-based Doetinchem Cohort. Participants completed ≥1 of 5 consecutive quinquennial visits between 1987 and 2010, resulting in a total follow-up time of 20 years. AMH was measured in 8507 stored plasma samples. Information on total CVD, stroke, and coronary heart disease was obtained through a hospital discharge registry linkage. The association of AMH trajectories with CVD was quantified with joint modeling, with adjustment for age, smoking, oral contraceptive use, body mass index, menopausal status, postmenopausal hormone therapy use, diastolic blood pressure, total cholesterol, high-density lipoprotein cholesterol, and glucose levels. RESULTS: By the end of follow-up, 8.2% of the women had suffered from CVD, 4.9% had suffered from coronary heart disease, and 2.6% had experienced a stroke. After adjustment, each ng/mL lower logAMH level was associated with a 21% higher risk of CVD (hazard ratio, 1.21; 95% confidence interval, 1.07-1.36) and a 26% higher risk of coronary heart disease (hazard ratio, 1.25; 95% confidence interval, 1.08-1.46). Each additional ng/mL/year decrease of logAMH was associated with a significantly higher risk of CVD (hazard ratio, 1.46; 95% confidence interval, 1.14-1.87) and coronary heart disease (hazard ratio, 1.56; 95% confidence interval, 1.15-2.12). No association between AMH and stroke was found. CONCLUSIONS: These results indicate that AMH trajectories in women are independently associated with CVD risk. Therefore, we postulate that the decline of circulating AMH levels may be part of the pathophysiology of the increased cardiovascular risk of earlier menopause. Confirmation of this association and elucidation of its underlying mechanisms are needed to place these results in a clinical perspective.

Early Vascular Damage in Young Women with DM-1 and Its Relation to Anti-Müllerian Hormone: A Cross-Sectional Study.

Vascular function is suggested to be associated with ovarian reserve, but the relationship with microvascular function has never been studied. In this cross-sectional pilot study, the relationship of microvascular damage markers with AMH was studied in premenopausal women. Twenty-two regularly cycling women with type 1 diabetes (DM-1) and a reference group of 20 healthy regularly cycling women were included, from whom blood was drawn in the early follicular phase of the menstrual cycle. The main outcome was the correlation between circulating progenitor cells (CPCs), markers for early vascular damage, and AMH, a marker for ovarian reserve. Secondary endpoints for early vascular impairment were circulating angiogenic cells and additional biomarkers. Median AMH levels were 2.2 µg/L [1.2-3.5] in the DM-1 group and 2.1 µg/L [0.85-3.8] in the reference group. CPCs were significantly decreased in women with DM-1; 1204 ± 537 CD34+/CD45dim cells were counted in the DM-1 group, compared to 2264 ± 1124 in the reference group. CPCs and other markers of early vascular damage were not correlated with AMH levels in a multivariable analysis. These results underscore previous findings of early vascular damage in DM-1 and suggest that there may not be a relationship between vascular function and ovarian reserve. Trial Registration. This trial is registered with Clinicaltrials.gov NCT01665716.

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.