Dataset Information

Anti-Mullerian Hormone Levels and Urinary Cortisol in Women With Chronic Abdominal Pain.

ABSTRACT: OBJECTIVE:To explore the association of hypothalamic-pituitary-adrenal activity with ovarian functioning in women with and without chronic abdominal pain (CAP). DESIGN AND SETTING:A secondary data analysis was performed with data from female participants in a natural history protocol at the National Institutes of Health. PARTICIPANTS:A total of 36 women (age range = 19-39 years, mean = 27.11 years) were included in the study. METHODS:This pilot study was conducted with a subset of participants enrolled in a natural history protocol conducted in the Hatfield Clinical Research Center at the National Institutes of Health. The parent study included participants with and without CAP who provided a 5-hour urine sample for determination of cortisol levels and serum samples for determination of circulating levels of cortisol, luteinizing hormone, and follicle-stimulating hormone. CAP was defined as presence or absence of chronic pain for at least 6 months and was determined via self-report. RESULTS:Anti-Müllerian hormone (AMH) concentrations declined significantly with age as expected. When AMH levels were dichotomized as normal or abnormal (defined as higher or lower than age-specific normative ranges, respectively), there were significant associations between abnormal AMH levels and CAP and urine cortisol levels. Participants with CAP or low urine cortisol levels were significantly more likely to have abnormal AMH levels. CONCLUSION:Results suggest that chronic abdominal pain and hypothalamic-pituitary-adrenal dysregulation may be associated with abnormal AMH levels.

SUBMITTER: Hardy TM

PROVIDER: S-EPMC5107147 | biostudies-literature | 2016 Nov - Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Anti-Müllerian Hormone Levels and Urinary Cortisol in Women With Chronic Abdominal Pain.

Hardy Theresa M TM McCarthy Donna O DO Fourie Nicolaas H NH Henderson Wendy A WA

Journal of obstetric, gynecologic, and neonatal nursing : JOGNN 20160914 6

<h4>Objective</h4>To explore the association of hypothalamic-pituitary-adrenal activity with ovarian functioning in women with and without chronic abdominal pain (CAP).<h4>Design and setting</h4>A secondary data analysis was performed with data from female participants in a natural history protocol at the National Institutes of Health.<h4>Participants</h4>A total of 36 women (age range = 19-39 years, mean = 27.11 years) were included in the study.<h4>Methods</h4>This pilot study was conducted wi ...[more]

PMID: 27639111

Similar Datasets

Project description:Aims/hypothesisGiven its role in ovarian follicle development, circulating anti-Müllerian hormone (AMH) is considered to be a marker of reproductive ageing. Although accelerated reproductive ageing has been associated with a higher risk of type 2 diabetes, research on the relationship between AMH and type 2 diabetes risk is scarce. Therefore, we aimed to investigate whether age-specific AMH levels and age-related AMH trajectories are associated with type 2 diabetes risk in women.MethodsWe measured AMH in repeated plasma samples from 3293 female participants (12,460 samples in total), aged 20-59 years at recruitment, from the Doetinchem Cohort Study, a longitudinal study with follow-up visits every 5 years. We calculated age-specific AMH tertiles at baseline to account for the strong AMH-age correlation. Cox proportional hazards models adjusted for confounders were used to assess the association between baseline age-specific AMH tertiles and incident type 2 diabetes. We applied linear mixed models to compare age-related AMH trajectories for women who developed type 2 diabetes with trajectories for women who did not develop diabetes.ResultsDuring a median follow-up of 20 years, 163 women developed type 2 diabetes. Lower baseline age-specific AMH levels were associated with a higher type 2 diabetes risk (HRT2vsT3 1.24 [95% CI 0.81, 1.92]; HRT1vsT3 1.62 [95% CI 1.06, 2.48]; ptrend?=?0.02). These findings seem to be supported by predicted AMH trajectories, which suggested that plasma AMH levels were lower at younger ages in women who developed type 2 diabetes compared with women who did not. The trajectories also suggested that AMH levels declined at a slower rate in women who developed type 2 diabetes, although differences in trajectories were not statistically significant.Conclusions/interpretationWe observed that lower age-specific AMH levels were associated with a higher risk of type 2 diabetes in women. Longitudinal analyses did not show clear evidence of differing AMH trajectories between women who developed type 2 diabetes compared with women who did not, possibly because these analyses were underpowered. Further research is needed to investigate whether AMH is part of the biological mechanism explaining the association between reproductive ageing and type 2 diabetes. Graphical abstract.

Project description:BackgroundTo determine the effects of age and the serum anti-Müllerian hormone (AMH) level on in vitro fertilization (IVF) outcomes, especially among young women with low serum AMH levels and older women with high AMH levels.MethodsThis study was a cohort study in which a total of 9431 women aged 20-51?years who were undergoing their first IVF cycles were recruited. Ovarian response parameters included the number of retrieved oocytes, the number of 2 pronuclear zygotes (2PN), and the frequency of good-quality embryos (GQE). Pregnancy outcomes included the clinical pregnancy rate (CPR), live birth rate (LBR), miscarriage rate (MR), and cumulative CPR and LBR (CCPR and CLBR).ResultsAmong women under 35?years of age, the ovarian response, CPR, CCPR, LBR and CLBR (p?<?0.01) were significantly lower in the low-AMH group than in the average-AMH and high-AMH groups. In women above 35?years of age, the ovarian response, CPR, CCPR and CLBR (p?<?0.01) were significantly higher in the average-AMH and low-AMH groups. The LBR in the older high-AMH group was significantly higher (37.45% vs 20.34%, p?<?0.01) than that in the older low-AMH group, but there was no difference (37.45% vs 32.46%, p?=?0.11) compared with the older average-AMH group. When there was a discrepancy between age and the AMH level, the young low-AMH group showed a poorer ovarian response but a better CPR (58.01% vs 49.44%, p?<?0.01) and LBR (48.52% vs 37.45%, p?<?0.01) than the older high-AMH group. However, the CCPR (65.37% vs 66.11%, p?=?0.75) and CLBR (56.35% vs 52.89%, p?=?0.15) between the two groups were comparable. The conservative CLBR in the two discrepancy groups increased until the third embryo transfer and reached a plateau thereafter.Conclusion(s)Even with a relatively low AMH level, young women still had better pregnancy outcomes following IVF than older women. However, increasing the AMH level improves the cumulative outcomes of the older group to a comparable level through a notable and superior ovarian response.

Project description:BackgroundPreviously, we reported a model for assessing ovarian reserves using 4 predictors: anti-Müllerian hormone (AMH) level, antral follicle count (AFC), follicle-stimulating hormone (FSH) level, and female age. This model is referred as the AAFA (anti-Müllerian hormone level-antral follicle count-follicle-stimulating hormone level-age) model.ObjectiveThis study aims to explore the possibility of establishing a model for predicting ovarian reserves using only 3 factors: AMH level, FSH level, and age. The proposed model is referred to as the AFA (anti-Müllerian hormone level-follicle-stimulating hormone level-age) model.MethodsOocytes from ovarian cycles stimulated by gonadotropin-releasing hormone antagonist were collected retrospectively at our reproductive center. Poor ovarian response (<5 oocytes retrieved) was defined as an outcome variable. The AFA model was built using a multivariable logistic regression analysis on data from 2017; data from 2018 were used to validate the performance of AFA model. Measurements of the area under the curve (AUC), sensitivity, specificity, positive predictive value, and negative predicative value were used to evaluate the performance of the model. To rank the ovarian reserves of the whole population, we ranked the subgroups according to the predicted probability of poor ovarian response and further divided the 60 subgroups into 4 clusters, A-D, according to cut-off values consistent with the AAFA model.ResultsThe AUCs of the AFA and AAFA models were similar for the same validation set, with values of 0.853 (95% CI 0.841-0.865) and 0.850 (95% CI 0.838-0.862), respectively. We further ranked the ovarian reserves according to their predicted probability of poor ovarian response, which was calculated using our AFA model. The actual incidences of poor ovarian response in groups from A-D in the AFA model were 0.037 (95% CI 0.029-0.046), 0.128 (95% CI 0.099-0.165), 0.294 (95% CI 0.250-0.341), and 0.624 (95% CI 0.577-0.669), respectively. The order of ovarian reserve from adequate to poor followed the order from A to D. The clinical pregnancy rate, live-birth rate, and specific differences in groups A-D were similar when predicted using the AFA and AAFA models.ConclusionsThis AFA model for assessing the true ovarian reserve was more convenient, cost-effective, and objective than our original AAFA model.

Dataset Information

Anti-Mullerian Hormone Levels and Urinary Cortisol in Women With Chronic Abdominal Pain.

Publications

Anti-Müllerian Hormone Levels and Urinary Cortisol in Women With Chronic Abdominal Pain.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets