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Updated: Jun 16, 2025
Fertility Preservation Through Oocyte Vitrification: Clinical and Laboratory Perspectives
Published on: September 16, 2021
The Association of AMH Level with the Number and Quality of Oocytes in Women Undergoing IVF/ICSI: A Single-Center
Zohreh Heidary1, Masoumeh Masoumi1, Mohadese Dashtkoohi1
1Vali-E-Asr Reproductive Health Research Center, Family Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
Background:
The recognized role of Anti-Müllerian hormone (AMH) as a marker for women's biological age and ovarian reserve prompts debate on its efficacy in predicting oocyte quality during IVF/ICSI. Recent findings challenging this view compelled us to conduct this study to examine the correlation between AMH levels and quantity/quality of oocytes in IVF/ICSI procedures.
Methods:
The data were collected retrospectively from the medical records of 320 women between 25-42 years old. The included patients were divided into two groups: the high AMH group (>1.1 ng/ml) and the low AMH (=<1.1 ng/ml) group. The high AMH group comprised 213 patients, while the low AMH group consisted of 107 patients. Spearman's correlation coefficient and Multinomial logistic regression were computed to assess the relationships between different variables.
Results:
Significant positive correlations were detected between AMH level and the number of aspirated follicles (rho=0.741, p<0.001), retrieved oocytes (rho=0.659, p<0.001), M2 oocytes (rho=0.624, p<0.001), grade A embryos (rho=0.419, p<0.001), and grade AB embryos (rho=0.446, p<0.001. In contrast, AMH levels had negative associations with the number and duration of cycles (p<0.05). AMH emerged as a statistically significant independent predictor of the number of M2 oocytes.
Conclusions:
Serum AMH level could represent the quantity and quality of oocytes following IVF/ICSI treatments. Future studies should aim to delve deeper into the correlations between AMH levels and both the quality and quantity of embryos. Additionally, it would be beneficial to consider the influence of sperm factors, as well as assess pregnancy rates.
