Predictors of readmission for postpartum preeclampsia

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.

KEYWORDS:

• Hypertensive disease in pregnancy
• postpartum preeclampsia
• prediction model
• risk factors

Acknowledgments

This study was presented as a virtual poster presentation at the 2021 ACOG Annual Clinical and Scientific Meeting, April 30-2 May 2021

Disclosure statement

No potential conflict of interest was reported by the author(s).