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Performance of the fullPIERS model in predicting adverse maternal outcomes in pre-eclampsia using patient data from the PIERS (Pre-eclampsia Integrated Estimate of RiSk) cohort, collected on admission.

TitlePerformance of the fullPIERS model in predicting adverse maternal outcomes in pre-eclampsia using patient data from the PIERS (Pre-eclampsia Integrated Estimate of RiSk) cohort, collected on admission.
Publication TypeJournal Article
Year of Publication2013
AuthorsPayne, BA, Hodgson, S, Hutcheon, J, Joseph, KS, Li, J, Lee, T, Magee, LA, Qu, Z, von Dadelszen, P
Corporate AuthorsPIERS Study Group
JournalBJOG
Volume120
Issue1
Pagination113-8
Date Published2013 Jan
ISSN1471-0528
KeywordsERSAdult, Female, HELLP Syndrome, Humans, Maternal Mortality, Models, Biological, Patient Admission, PIERS, Pre-Eclampsia, Pregnancy, Pregnancy Outcome, Risk Assessment, Risk Factors
Abstract

The fullPIERS (Pre-eclampsia Integrated Estimate of RiSk) model is a promising tool for the prediction of adverse outcomes in pre-eclampsia, developed using the worst values for predictor variables measured within 48 hours of admission. We reassessed the performance of fullPIERS using predictor variables obtained within 6 and 24 hours of admission, and found that the stratification capacity, calibration ability, and classification accuracy of the model remained high. The fullPIERS model is accurate as a rule-in test for adverse maternal outcome, with a likelihood ratio of 14.8 (95% CI 9.1-24.1) or 17.5 (95% CI 11.7-26.3) based on 6- and 24-hour data, respectively, for the women identified to be at highest risk (predicted probability ≥ 30%).

DOI10.1111/j.1471-0528.2012.03496.x
Alternate JournalBJOG
Citation Key487
PubMed ID23078362
Grant List / / Canadian Institutes of Health Research / Canada