Derivation and Validation of Predictive Models for Early Pediatric Sepsis
Using a large multicenter population, models were developed and validated with high AUROC to predict the future development of sepsis based on EHR data collected in the ED. The models achieved positive likelihood ratios to predict sepsis and septic shock. The results highlight the opportunity for future studies that combine EHR-based models with clinical judgment to improve prediction.
Authors
- Fran Balamuth (ORCID: https://orcid.org/0000-0003-3709-7160)
- Holly Depinet
- Robert W. Grundmeier (ORCID: https://orcid.org/0000-0002-8290-5588)
- Sara J. Deakyne Davies (ORCID: https://orcid.org/0000-0002-8602-1624)
- Diego Campos (ORCID: https://orcid.org/0000-0002-8652-7887)
- Camille Carter
- Lyle Ungar (ORCID: https://orcid.org/0000-0003-2047-1443)
- Lawrence J. Cook (ORCID: https://orcid.org/0000-0001-9085-0428)
- Halden F. Scott (ORCID: https://orcid.org/0000-0002-1412-6128)
- Elizabeth R. Alpern (ORCID: https://orcid.org/0000-0001-7887-3563)
- Cara Elsholz
- James M. Chamberlain
- Michael Webb
- Norma-Jean E. Simon
- Lalit Bajaj
Institutions
- Northwestern University (US)
- Cincinnati Children's Hospital Medical Center (US)
- Lurie Children's Hospital (US)
- Children's Hospital of Philadelphia (US)
- Children's National (US)
- University of Utah (US)
- Children's Hospital Colorado (US)
- University of Colorado Anschutz Medical Campus (US)
- University of Cincinnati (US)
- University of Pennsylvania (US)
- University of Colorado Denver (US)
Publication Details
- Journal
- JAMA Pediatrics
- Published
- 2025-10-13
- DOI
- https://doi.org/10.1001/jamapediatrics.2025.3892
- Citations
- 4
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 5.42