Blood-based inflammatory parameters and machine learning models for mortality prediction in critically ill pediatric pneumonia: a retrospective cohort study
Neutrophil percentage, lymphocyte percentage, and PNR are independent prognostic indicators for mortality in critically ill pediatric pneumonia. ML-based models incorporating these parameters show promise for early mortality risk stratification in pediatric intensive care settings.
Authors
- Pei Tao (ORCID: https://orcid.org/0000-0002-4665-2114)
- Shuai Hu
- Wanmin Xia
Institutions
- Chengdu Women's and Children's Central Hospital (CN)
Publication Details
- Journal
- Translational Pediatrics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.21037/tp-2025-1-846
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00