Performance of prognostic modelling of high and low ovarian response to ovarian stimulation for IVF

AbstractSTUDY QUESTIONWhat is the performance of previously established regression models in predicting low and high ovarian response to 150 μg corifollitropin alfa/GnRH-antagonist ovarian stimulation in an independent dataset?SUMMARY ANSWERThe outcome of ovarian stimulation with 150 μg corifollitropin alfa in a fixed, multiple dose GnRH-antagonist protocol can be validly predicted using logistic regression models with AMH being of paramount importance.WHAT IS KNOWN ALREADYPredictors of ovarian response have been identified in FSH/GnRH agonist protocols as well as ovarian stimulation with corifollitropin alfa/GnRH-antagonist. Multivariable response models have been established already, however, external validation of model performance has so far been lacking.STUDY DESIGN, SIZE, DURATIONData from a prospective, multi-centre (n = 5), multi-national, investigator-initiated, observational cohort study were analysed. Infertile women (n = 211), body weight>60 kg, were undergoing ovarian stimulation with 150 μg corifollitropin alfa in a GnRH-antagonist multiple dose protocol for transvaginal oocyte retrieval for IVF. Demographic, sonographic and endocrine parameters were prospectively assessed on cycle Day 2 or 3 of spontaneous menstruation before ovarian stimulation. Main outcomes were low (<6 oocytes) and high (>18 oocytes) ovarian response.PARTICIPANTS/MATERIALS, SETTING, METHODSFirstly, previously established prediction models for low ovarian response (LOR) and high ...
Source: Human Reproduction - Category: Reproduction Medicine Source Type: research