ISSN 1518 0557
Expand  evaluation  of  the  ovarian  response  prediction  index (ORPI)  for  individualised  controlled  ovarian  stimulation - Oral presentation in the 11 th REDLARA Congress - Panama

2013; 17
Joao Batista A Oliveira, Claudia G Petersen, Ana L Mauri, Mario Cavagna, Ricardo L R Baruffi, Jose G Franco Jr
JBRA Assist. Reprod. 2013; 17 (2):77-83

Received March 02, 2013
Accepted April 13, 2013
Abstract

Objective: to expand the evaluation of a new ovarian response prediction index (ORPI), which was based on the AMH, AFC and age, and to verify its reability as a predictor of ovarian response to stimulation in assisted reproductive technology (ART) cycles. Methods: A total of 129 patients enrolled in the ICSI programme were included. The ORPI values were calculated by multiplying the AMH level (ng/ml) by the number of antral follicles (2–9 mm), and the result was divided by the age (years) of the patient (ORPI=(AMH x AFC)/ Patient age). Results: Spearman’s test revealed significant correlations (P<0.0001) between the ORPI and the number of oocytes collected and the number of follicles. Logistic regression revealed that ORPI values were significantly associated with the likelihood of collecting ≥4 oocytes (OR=45.56), ≥4 MII oocytes (OR=6.01) and ≥15 oocytes (OR=6.15; P<0.0001). Based on the ROC curves, the ORPI accurately predicted a low ovarian response (<4 oocytes retrieved; area under the curve (AUC):0.91), collection of ≥4 MII oocytes (AUC:0.85) and an excessive ovarian response (≥15 oocytes retrieved; AUC:0.89). Conclusions: The ORPI exhibited an excellent ability to predict a low ovarian response and a good ability to predict a collection of ≥4 MII oocytes, an excessive ovarian response. The ORPI might be used to improve the cost-benefit ratio of ovarian stimulation regimens by guiding the selection of medications and by modulating the doses and regimens according to the actual needs of the patients.


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doi: 10.5935/1518-0557.20130010

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