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

被引:30
作者
Payne, B. [1 ,2 ]
Hodgson, S. [1 ]
Hutcheon, J. A. [1 ,2 ]
Joseph, K. S. [1 ,2 ,3 ]
Li, J. [1 ]
Lee, T. [1 ]
Magee, L. A. [1 ,2 ,3 ,4 ]
Qu, Z. [1 ]
von Dadelszen, P. [1 ,2 ,3 ]
机构
[1] Univ British Columbia, Dept Obstet & Gynaecol, Vancouver, BC V5Z 1M9, Canada
[2] Univ British Columbia, CFRI Reprod & Hlth Pregnancy Cluster, Vancouver, BC V5Z 1M9, Canada
[3] Univ British Columbia, Sch Publ & Populat Hlth, Vancouver, BC V5Z 1M9, Canada
[4] Univ British Columbia, Dept Med, Vancouver, BC, Canada
关键词
Patient care management; PIERS; pre-eclampsia; prognosis;
D O I
10.1111/j.1471-0528.2012.03496.x
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
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 9.124.1) or 17.5 (95% CI 11.726.3) based on 6- and 24-hour data, respectively, for the women identified to be at highest risk (predicted probability =30%).
引用
收藏
页码:113 / 118
页数:6
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