# Predicting pediatric sepsis: bridging the gap between diagnosis and early intervention

**Authors:** Allan M. Joseph, Jennifer M. Kaplan

PMC · DOI: 10.1038/s41390-025-04475-2 · Pediatric Research · 2025-10-21

## TL;DR

This paper discusses how predictive modeling could help identify pediatric sepsis early to improve care in intensive care units.

## Contribution

The paper emphasizes the use of the Phoenix criteria in predictive modeling for pediatric sepsis.

## Key findings

- Predictive modeling shows promise in improving early detection of pediatric sepsis.
- External validation is needed to ensure the reliability of these models in clinical settings.

## Abstract

Early identification of pediatric sepsis is critical but remains challenging. This commentary highlights the potential of predictive modeling to enhance care in the PICU using the Phoenix criteria, while emphasizing the need for external validation and integration into clinical workflows.

## Full-text entities

- **Diseases:** sepsis (MESH:D018805)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12956578/full.md

---
Source: https://tomesphere.com/paper/PMC12956578