Predicting severe pneumonia in the emergency department: a global study of the Pediatric Emergency Research Networks

Todd Adam Florin1, Daniel Joseph Tancredi2, Lilliam Ambroggio3

  • 1Department of Pediatrics, Division of Pediatric Emergency Medicine, Northwestern University Feinberg School of Medicine, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois, USA taflorin@luriechildrens.org.

BMJ Open
|December 3, 2020
PubMed

Insights

This study aims to create a clinical prediction model for children with community-acquired pneumonia (CAP) to better assess disease severity in emergency departments (EDs) globally. This tool will aid physicians in making crucial management and disposition decisions for pediatric pneumonia patients.

Area of Science:

  • Pediatric Emergency Medicine
  • Clinical Epidemiology
  • Health Services Research

Background:

  • Community-acquired pneumonia (CAP) is a significant cause of pediatric emergency department (ED) visits and hospitalizations.
  • Current management and disposition decisions for pediatric CAP in the ED lack evidence-based, validated tools.
  • Accurate risk stratification is crucial for appropriate resource allocation and patient care.

Purpose of the Study:

  • To develop and validate a clinical prediction model for stratifying pediatric CAP severity.
  • To identify children at risk for low, moderate, and severe disease presentations in the ED.
  • To create a globally generalizable tool for use in diverse ED settings.

Main Methods:

  • Prospective cohort study enrolling up to 4700 children (3 months to <14 years) with CAP across ~80 international ED sites.
  • Collection of clinical, laboratory, and imaging data, along with follow-up surveys (7-14 days post-visit).
  • Development of risk stratification models using ordinal logistic regression and recursive partitioning.

Main Results:

  • The study will yield a validated clinical prediction model for pediatric CAP severity.
  • The model aims for accurate risk stratification across a global network of EDs.
  • Findings will enable improved decision-making for children presenting with CAP.

Conclusions:

  • The developed model will provide an evidence-based tool for ED physicians managing pediatric CAP.
  • This tool will enhance the accuracy of disease severity assessment and guide disposition decisions.
  • The study's global scope ensures broad generalizability and potential for widespread clinical implementation.
Abstract

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