# Prediction of Adverse Maternal Outcomes in Preeclampsia Using the FullPIERS (Preeclampsia Integrated Estimate of Risk) Model in a Tertiary Care Hospital of Eastern India

## TL;DR

This study shows that the fullPIERS model can predict serious complications in preeclampsia patients within 24 hours of hospital admission.

## Contribution

The study validates the fullPIERS model's effectiveness in predicting maternal outcomes in preeclampsia in an Indian hospital setting.

## Key findings

- A fullPIERS score of 30 or higher strongly predicted adverse maternal outcomes.
- High blood pressure, low oxygen saturation, and abnormal lab values were linked to worse outcomes.
- The model helped stratify risk and support timely clinical decisions.

## Abstract

Introduction: Preeclampsia, characterized by hypertensive disorders and systemic inflammatory response, remains a leading cause of maternal morbidity and mortality globally. Effective risk assessment tools are crucial for predicting adverse maternal outcomes.

Objective: This study evaluates the performance of the fullPIERS (Preeclampsia Integrated Estimate of Risk) model in predicting adverse maternal outcomes within 24 hours of admission for preeclampsia.

Methods: A cross-sectional study was conducted over one year, involving 100 preeclamptic patients admitted to Nil Ratan Sircar Medical College & Hospital (NRSMCH). Predictor variables were collected within 24 hours of admission and analyzed using the fullPIERS model.

Results: The fullPIERS model effectively stratified maternal risk. Adverse outcomes were significantly associated with systolic blood pressure (BP) ≥ 140 mmHg, diastolic BP ≥ 90 mmHg, oxygen saturation ≤ 95%, frontal headache, visual disturbances, chest pain/dyspnea, and abnormal random blood sugar, albumin, alanine aminotransferase, platelet count, and creatinine levels. A fullPIERS score ≥ 30 was strongly predictive of adverse maternal outcomes.

Conclusion: The fullPIERS model is a valuable tool for predicting adverse maternal outcomes in preeclampsia, aiding in timely and effective clinical decision-making.