The relationship between anti-Müllerian hormone (AMH) levels and pregnancy outcomes in patients undergoing assisted reproductive techniques (ART)

Author:

Umarsingh Shalini1,Adam Jamila Khatoon1,Krishna Suresh Babu Naidu1

Affiliation:

1. Biomedical and Clinical Technology, Faculty of Health Sciences, Durban University of Technology, Durban, South Africa

Abstract

A variety of predictors are available for ovarian stimulation cycles in assisted reproductive technology (ART) forecasting ovarian response and reproductive outcome in women including biomarkers such as anti- Müllerian hormone (AMH). The aim of our present study was to compare the relationship between AMH levels and pregnancy outcomes in patients undergoing intra-cytoplasmic sperm injection (ICSI). Overall, fifty patients (n = 50), aged 20–45 years were recruited for the present prospective study. Three AMH levels were presented with high often poly cystic ovarian syndrome (PCOS) amongst 52.4% patients, 40.5% in normal and 7.1% in low to normal, correspondingly. There was statistically significant relationship between AMH and day of embryo transfer (p < 0.05). The Pearson analysis between AMH, age, E2 and FSH displayed no statistically significant relationship between E2 and AMH (p < 0.05) and negative correlation between FSH and age (p > 0.05). The area under the receiver operating characteristic curve for E2 was 0.725 and for AMH levels as predictors of CPR was 0.497 indicating E2 as better predictor than AMH. The number of oocytes, mature oocytes and fertilized oocytes all presented a weak positive relationship to AMH. Our results confirm the clinical significance of AMH to accurately predict ovarian reserve as a marker and its limitations to use as predictor for a positive pregnancy outcome. Additional prospective studies should be conducted to validate the predictive capability of AMH levels for the outcome of clinical pregnancy.

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Reference29 articles.

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3. Basal FSH concentration as a predictor of IVF outcome in older women undergoing stimulation with GnRH antagonist;Caroppo;Reproductive Biomedicine Online,2006

4. Use of the antral follicle count to predict the outcome of assisted reproductive technologies;Chang;Fertility and Sterility,1998

5. Serum level of anti-mülerian hormone in early follicular phase as a predictor of ovarian reserve and pregnancy outcome in assisted reproductive technology cycles;Dehghani;Archives of Iranian Medicine,2008

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