Pneumonia Risk Stratification Scores for Children in Low-Resource Settings: A Systematic Literature Review

Katrina V Deardorff1, Eric D McCollum2, Amy Sarah Ginsburg3

  • 1From the Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington.

Insights

Pediatric pneumonia risk scores can identify high-risk children, but none are implemented in low-resource settings. Future research should focus on scores using routinely collected data for better feasibility.

Area of Science:

  • Pediatric infectious diseases
  • Health informatics
  • Global child health

Background:

  • Pneumonia is the leading infectious cause of death in children under 5.
  • Risk scores can identify high-risk children for targeted management.
  • This review focuses on pediatric pneumonia risk scores in low-resource settings.

Purpose of the Study:

  • To identify pediatric pneumonia risk scores developed, validated, and implemented in low-resource settings.
  • To evaluate the characteristics and performance of these risk scores.

Main Methods:

  • Systematic review of multiple databases (PubMed, Scopus, etc.).
  • Included studies developed formal risk scores for treatment failure or mortality in children under 5 with pneumonia in low-resource settings.
  • Data abstracted included study design, sample size, age, diagnosis, score features, and model discrimination.

Main Results:

  • Three scores predicted mortality, and two predicted treatment failure.
  • Scores using World Health Organization-recommended variables showed better predictive fit.
  • Scores developed from routinely collected data performed similarly to those from clinical trial data.
  • No identified scores have been implemented in low-resource settings.

Conclusions:

  • Pediatric pneumonia risk scores are developed and validated, but implementation feasibility and impact remain unclear.
  • Generalizability of existing scores is uncertain.
  • Future research should prioritize developing scores from routinely collected data to enhance implementation feasibility.
Abstract

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