A descriptive study to correlate biochemical and biophysical markers of ovarian reserve among infertile women
Journal Title: International Journal of Clinical Obstetrics and Gynaecology - Year 2018, Vol 2, Issue 2
Abstract
Objectives: To study correlation between ovarian reserve with biophysical markers (antral follicle count and ovarian volume) and biochemical markers (S. FSH, S. Inhibin B, and S. AMH) and use these markers to predict poor ovarian response to ovarian induction. Methods: This is a prospective observational study. One hundred infertile women attending the Obst & Gynae Dept, sms medical college Jaipur were recruited. Blood samples were collected on day 2/day 3 for assessment of S. FSH, S. Inhibin B, and S. AMH and TVS were done for antral follicle count and ovarian volume. Clomephene citrate 100 mg 1OD was given from day 2 to 6, and patients were followed up with serial USG measurements. The numbers of dominant follicles ([or = 14 mm) at the time of hCG administration were counted. Patients with 3 follicles in the 1st cycle were subjected to the 2nd cycle of clomephene 100 mg 1OD from day 2 to day 6 with Inj HMG 150 IU given i.m. starting from day 8 and every alternate day until at least one leading follicle attained C18 mm. Development of3 follicles at end of the 2nd cycle was considered as poor response. Results: Univariate analyses showed that s. inhibin B presented the highest (ROCAUC = 0.862) discriminating potential for predicting poor ovarian response, In multivariate logistic regression model, the variables age, FSH, AMH, INHIBIN B, and AFC remained significant, and the resulting model showed a predicted accuracy of 84.4%. Conclusion: A derived multimarker computation by a logistic regression model for predicting poor ovarian response was obtained through this study. Thus, potential poor responders could be identified easily, and appropriate ovarian stimulation protocol could be devised for such pts. Keywords Anti-mullerian hormone Logistic regression analysis Poor responders Inhibin B Antral follicle count
Authors and Affiliations
Dr. Sharda Sarel, Dr. Lata Rajoria, Dr. Kusumlata Meena, Dr. Neha Sharma
Keywords
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