Validation of performance of multiparametric risk prediction models for preeclampsia in early pregnancy and determination of the best fit model for Indian Population

Preeclampsia occurs in 2–8% of pregnancies worldwide and is the second leading cause of direct maternal and fetal deaths. In India, the reported incidence of eclampsia varies from 0.17 to 3.7% and maternal mortality of eclamptic women varies from 2.2% to 23%. The early detection of the risk of this complication may allow for the improvement of the maternal and fetal outcome by increasing patient surveillance or by initiating a therapeutic intervention. The current prediction model used across the globe, especially in the UK, is a multiparametric test involving biophysical and biomarkers to predict the occurrence of preeclampsia. There is a concern that the implementation of the screening protocols may require local modification and the estimate of performance from the literature may not be applicable to all populations. Thus, it is important to evaluate the performance of various multiparametric tests for screening of preeclampsia in the Indian population and validate the same.