Severity of Illness Measures for Pediatric Inpatients

Area of Science:

• Pediatric healthcare outcomes research
• Health services research
• Medical informatics

Background:

• Severity of illness (SOI) measures are crucial for comparing adult patient outcomes but are less established in pediatrics.
• Limited psychometric data exists for pediatric SOI measures, hindering consistent application in healthcare systems.
• Accurate pediatric SOI assessment is vital for effective care, resource allocation, and research.

Purpose of the Study:

• To identify existing SOI measures for pediatric inpatients in acute care settings.
• To compare the predictive performance of two SOI measures for mortality and length of stay (LOS).
• To evaluate the utility of the pediatric chronic complex condition (CCC) score in a large pediatric cohort.

Main Methods:

• A literature search identified 12 potential SOI instruments.
• The pediatric chronic complex condition (CCC) score and Charlson/Deyo comorbidity score were applied to an 8-year retrospective dataset.
• Logistic and zero-truncated negative binomial regression models were used for analysis.

Main Results:

• Data from 199,001 pediatric inpatients were analyzed.
• The CCC score demonstrated superior predictive ability for mortality (OR=3.36; 95% CI: 3.20-3.53).
• The CCC score also showed better prediction for length of stay (IRR=2.24; 95% CI: 2.22-2.26).

Conclusions:

• The CCC score is recommended as a preferable tool for predicting outcomes in pediatric inpatients.
• Development and validation of pediatric SOI measures require further attention.
• The CCC score can inform clinical care, resource management, and research initiatives for children.