Preeclampsia prediction model using the dipstick test for proteinuria during early gestation

ObjectiveThe aim of our study was to develop prediction model for preeclampsia (PE) using routinely examined items in early pregnancy especially dipstick test for proteinuria.MethodThe Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study recruited pregnant women and we included 9,086 of them in analysis. Maternal basic characteristics were obtained by self-report, and blood pressure and dipstick test of proteinuria were obtained by medical record at regular antenatal care. The outcome was defined as PE including superimposed preeclampsia. We developed prediction model without dipstick test of proteinuria (model 1) and model with it (model 2), and we compared them by the mean of area under the receiver operating characteristic curve (mAUROC) using five-fold cross validation.ResultsmAUROC of model 1 was 0.769 (95% CI; 0.741 to 0.797) and that of model 2 was 0.785 (95% CI; 0.758 to 0.812). The difference of two mAUROCs was 0.016 (95% CI; 0.004 to 0.028). In model 2, detection rates at false-positive rate of 5%, 10% and 20% were 40%, 49% and 64%, respectively.ConclusionsWe could develop prediction model for PE using routine antenatal care items and it was improved by including dipstick test for proteinuria.