# The accuracy of the fullPIERS model in predicting adverse maternal and perinatal outcomes: evidence from a tertiary care maternity unit

## TL;DR

This study evaluated the fullPIERS model's accuracy in predicting adverse outcomes for pregnant women with pre-eclampsia in a Brazilian hospital, finding it had limited effectiveness.

## Contribution

The study provides evidence on the performance of the fullPIERS model in a low- to middle-income country setting.

## Key findings

- The fullPIERS model showed moderate accuracy in predicting adverse maternal outcomes (AUC 0.672).
- It had limited discrimination for maternal and perinatal outcomes combined (AUC 0.582).
- The model showed no utility in predicting perinatal outcomes (AUC 0.561).

## Abstract

Low- and middle-income countries face significant challenges in managing women diagnosed with pre-eclampsia, from making the clinical decision about whether to deliver to transferring these women to healthy facilities where they can receive appropriate care. The aim of this study was to evaluate the performance and accuracy of the fullPIERS model in a referral Brazilian maternity hospital - to assess maternal and fetal morbidity and impatient mortality at birth admission.

A cross-sectional study analyzed pregnant women with preeclampsia diagnosis, between 2014 and 2023. The full PIERS model was applied to a database retrospectively collected and its accuracy to predict maternal and perinatal outcomes during the hospital stay was determined through a receiver operating curve.

Analyzing 207 pregnant women with fullPIERS had an Area Under the Curve (AUC) for adverse maternal outcome discrimination of 0.672 (0.576-0.767 95% CI, p<0.001) and AUC 0.582, (0.504-0.6661 95% CI, p = 0.041) for maternal and perinatal outcomes. Nevertheless, the model had no discrimination utility to assess perinatal outcomes (AUC 0.561, 0.480-0.642 95% CI, p = 0.642).

The fullPIERS model had limited performance in identifying women at increased risk of adverse outcomes birth admission and absent utility to assess perinatal outcomes. Future studies, combining different tools and validated in low- and middle-income countries should be carried out to improve maternal health.