Predictors of readmission for postpartum preeclampsia
Rodney A. McLaren, Melissa Magenta, Laura Gilroy, Maria Gabriela G.M. Duarte, Sujatha Narayanamoorthy, Jeremy Weedon, Howard Minkoff
Abstract
Objective: To develop a predictive model for re-admission for postpartum preeclampsia (PPEC).Methods: A case-control study; cases were patients re-admitted for PPEC; controls were not re-admitted. Mixed linear modelling was used to develop a predictive model on the training set, then validated on the validation set.Results: Two-hundred-sixty-nine patients were readmitted, and matched to 538 controls. A risk calculator was developed and yielded a sensitivity and specificity for readmission of 80.9% and 53.5%, respectively.Conclusion: A predictive model using age, race, discharge blood pressures, and preeclampsia was able to predict re-admission for PPEC with a high level of sensitivity.