Journal of Human Reproductive Science
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ORIGINAL ARTICLE Table of Contents   
Year : 2013  |  Volume : 6  |  Issue : 1  |  Page : 27-31
Anti-mullerian hormone and antral follicle count as predictors of ovarian response in assisted reproduction


1 Department of Obstetrics and Gynacology, GSL Medical College and General Hospital, Rajahmundry, Andhra Pradesh, India
2 Department of Medicine, GSL Medical College and General Hospital, Rajahmundry, Andhra Pradesh, India
3 Center for Infertility Management and Assisted Reproduction, Edappal and Kochi, Kerala, India

Correspondence Address:
Y Himabindu
Department of Obstetrics and Gynecology, GSL Medical College and General Hospital, Rajahmundry 534 296, Andhra Pradesh
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0974-1208.112377

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Objective: The objective of this study was to test the hypothesis that AMH and antral follicle count (AFC) are good predictors of ovarian response to controlled ovarian stimulation and to compare them. Materials and Methods: This observational cross-sectional study included 56 subjects aged between 25 and 42 years who were enrolled between 1 st January and 31 st December 2010 for their first intracytoplasmic sperm injection (ICSI) program. Baseline hormone profiles including serum levels of Estradiol (E2), Follicle-stimulating hormone (FSH), Luteinizing hormone (LH), and Anti-mullerian Hormone (AMH) were determined on day 3 of the previous cycle. The antral follicle count measurements were performed on days 3-5 of the same menstrual cycle. Antral follicles within the bilateral ovaries between 2-6 mm were recorded. The subjects were treated with long protocol for ovarian stimulation. Ovulation was induced with 10,000 IU of human chorionic gonadotropin (hCG) when at least 3 follicles attained the size of more than 17 mm. Transvaginal oocyte retrieval was performed under ultrasound guidance 36 hours after hCG administration. An oocyte count less than 4 and absence of follicular growth with controlled ovarian hyper stimulation was considered as poor ovarian response. Oocyte count of 4 or more was considered as normal ovarian response. Results: Statistical analysis was performed using SPSS software trail version 16.0. Subjects were divided into 2 groups, depending on the ovarian response. The mean oocyte counts were 12.27 ± 6.06 and 2.22 ± 1.24 in normal and poor responders, respectively, ( P = 001). Multiple regression analysis revealed AMH and antral follicle count as predictors of ovarian response (β coefficient ± SE for AMH was 1.618 ± 0.602 ( P = 0.01) and for AFC, it was, 0.528 ± 0.175 ( P = 0.004). AFC was found to be a better predictor of ovarian response compared to AMH in controlled ovarian hyper stimulation. Conclusion: The observations made in this study revealed that both AMH and AFC are good predictors of ovarian response; AFC being a better predictor compared to AMH.


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