Title: Validation of full<scp>PIERS</scp> model for prediction of adverse outcomes among women with severe pre‐eclampsia
Abstract: Abstract Objective To evaluate the accuracy of the Pre‐eclampsia Integrated Estimate of RiSk (full PIERS ) model for the prediction of complications among patients with severe pre‐eclampsia in northeastern Brazil. Methods A retrospective study was conducted of data for all patients with severe pre‐eclampsia admitted to a center in Recife in 2014. The full PIERS model was applied to calculate the predicted probability of complications. A receiver operating characteristic curve was constructed to determine the accuracy of the model, and the area under the curve was calculated. Multiple logistic regression analysis was performed. Results Among 325 included women, 55 (16.9%) had one or more complication before discharge. The area under the curve was 0.72 ( P <0.001), determining a cutoff point for full PIERS probability of 1.7%. Sensitivity was 60.0% and specificity was 65.1%; the positive likelihood ratio was 1.72 and the negative likelihood ratio was 0.61. In multivariate analysis, the only variable that remained significantly associated with complications was a full PIERS probability of more than 1.7% (odds ratio 5.87, 95% confidence interval 3.16–10.89; P <0.001). Conclusion The full PIERS model is a useful tool for predicting complications in women with severe pre‐eclampsia, with the cutoff point of 1.7%.
Publication Year: 2017
Publication Date: 2017-05-05
Language: en
Type: article
Indexed In: ['crossref', 'pubmed']
Access and Citation
Cited By Count: 18
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot