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The Value of Anti-Müllerian Hormone in Predicting Ovulation Induced by Aromatase Inhibitors in Women With Polycystic Ovary Syndrome. | LitMetric

The Value of Anti-Müllerian Hormone in Predicting Ovulation Induced by Aromatase Inhibitors in Women With Polycystic Ovary Syndrome.

J Obstet Gynaecol Can

Department of Obstetrics and Gynecology, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam; Hue Center for Reproductive Endocrinology and Infertility, Hue University of Medicine and Pharmacy, Hue University, Hue, Vietnam.

Published: November 2023

Objectives: This study aimed to evaluate the value of anti-Müllerian hormone (AMH) in predicting ovulation induced by aromatase inhibitors (AI) and pregnancy outcomes in women with polycystic ovary syndrome (PCOS).

Methods: From January 2018 to December 2020, this prospective cohort study enrolled women with PCOS aged between 18 and 45 years who underwent ovulation induction using AI protocol and intrauterine insemination (IUI) for infertility at a Center for Reproductive Endocrinology and Infertility, University Hospital. Receiver operating characteristic curves were used to estimate the chance of ovulation responses and pregnancy outcomes.

Results: In total, 64% of 65 women with PCOS were recruited following AI treatment, and the clinical pregnancy rate was 19.4% following IUI. Patients who experienced ovulation had a lower mean serum AMH concentration than non-responders (7.11 ng/mL vs. 8.95 ng/mL, respectively), but the difference was not statistically significant. Between the pregnancy and non-pregnancy groups, statistically significant differences in AMH concentrations were observed (8.71 ng/mL vs. 6.73 ng/mL, respectively, P = 0.040). The area under the curve of the receiver operating characteristic for non-ovulation prediction was 0.445, 95% CI (0.284-0.606) with P = 0.467, and for clinical pregnancy was 0.735, 95% CI (0.561-0.910) with P = 0.104.

Conclusions: In women with PCOS, the AMH level does not predict ovarian responsiveness to AI treatment, but it does predict the success of IUI cycles.

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Source
http://dx.doi.org/10.1016/j.jogc.2023.07.003DOI Listing

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