Abstract

and outcomes Age (y) (mean) E2 Day of ov trigger (pg/ml) Total no. retrieved eggs Total no. MII eggs had such a prediction based on age alone. Compared with age-based controls, PredictIVF-D showed 75% improved predictive power, ability to discriminate cases with differential prognoses (10% improvement in area-underthe-curve in a receiver operating characteristic analysis), while extending the dynamic range from four discrete, age-based probabilities to a continuous spectrum ranging from 7 to 60%. Table 1 shows the population distribution and error for five different prognostics groups. CONCLUSION(S): Using a validated, multi-center IVF prediction model, we showed that a large portion of patients with prior IVF would receive a significantly different predicted probability compared with agebased counseling, at improved predictive power and discrimination, and reliable accuracy.

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