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A Risk Prediction Model For The Assessment And Triage Of Women With Hypertensive Disorders Of Pregnancy In Low-Resourced Settings: The Minipiers (Pre-Eclampsia Integrated Estimate Of Risk) Multi-Country Prospective Cohort Study, Beth A. Payne, Jennifer A. Hutcheon, J. Mark Ansermino, David R. Hall, Zulfiqar Ahmed Bhutta, Shereen Z. Bhutta, Christine Biryabarema, William A. Grobman, Henk Groen, Farizah Haniff, Jing Li, Laura A. Magee, Mario Merialdi, Annettee Nakimuli, Ziguang Qu, Rozina Sikandar Sultanali, Nelson Sass, Diane Sawchuck, D. Wilhelm Steyn, Mariana Widmer, Jian Zhou, Peter Von Dadelszen

Department of Obstetrics & Gynaecology

Background: Pre-eclampsia/eclampsia are leading causes of maternal mortality and morbidity, particularly in low- and middle- income countries (LMICs). We developed the miniPIERS risk prediction model to provide a simple, evidence-based tool to identify pregnant women in LMICs at increased risk of death or major hypertensive-related complications.

Methods and Findings: From 1 July 2008 to 31 March 2012, in five LMICs, data were collected prospectively on 2,081 women with any hypertensive disorder of pregnancy admitted to a participating centre. Candidate predictors collected within 24 hours of admission were entered into a step-wise backward elimination logistic regression model to predict a composite …