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Performance of Ovarian Response Prediction Index As Predictor of Ovarian Response
Зохиогч
Bolormaa Dagvadorj
Nasantogtokh Erdenebileg
Enkhmaa Davaasuren
Altantuya Shirchinjav
Enkhtsetseg Jamsranjav
Он
2022 оны зургаадугаар сарын 30
Төрөл
journal article
Хэвлэгч
Mongolian National University of Medical Sciences
Journal
Central Asian Journal of Medical Sciences
Volume
8
Issue
2
Start Page
127
End Page
134
ISSN
2413-8681
2414-9772
Хураангуй
Objective: We aimed to evaluate potential predictors of response to controlled ovarian stimulation (COS), including follicle stimulating hormone (FSH), Estradiol, antral follicle count (AFC), and ovarian response prediction index (ORPI). Methods: In this prospective, single center study, we recruited 55 infertile women underwent the first cycle of in vitro fertilization/ intracytoplasmic injection/intrauterine insemination (IVF/ICSI/IUI). We measured serum FSH and anti-mullerian hormone (AMH) level by ELISA and evaluated AFC. In accordance with formula, AMH x AFC / patient's age, ORPI was calculated. Results: The study participants are aged between 25 to 48 in infertility women. The mean age of the participants are 34.5 ± 5.5. The hormonal predictors, as well as ovarian response, are presented in Table 2. Predict ovarian hypo response by E2 and ORPI. Multivariable models improved the predictive accuracy for hypo-response (AUC > 0.6). With regard to the hyper-response, ORPI, E2 and AFC showed good predictors. In the multivariable model, the ORPI, E2 and AFC presented the best predictive accuracy, with an AUC 0.81, a sensitivity of 87 %, and a specificity of 67 %. Conclusion: ORPIndex is predicting the hyper-response more accurately than the ovarian hypo- response in infertility women. Participant’s ovarian reserve biomarkers (AFC and E level) was significantly increased predictive accuracy.