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.
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%).
Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, British Columbia, Canada. bpayne@cw.bc.ca
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Payne
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Hodgson
J A
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Hutcheon
K S
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Joseph
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Li
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Lee
L A
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Magee
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Qu
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von Dadelszen
D000328:Adult; D005260:Female; D017359:HELLP Syndrome; D006801:Humans; D008428:Maternal Mortality; D008954:Models, Biological; D010343:Patient Admission; D011225:Pre-Eclampsia; D011247:Pregnancy; D011256:Pregnancy Outcome; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors