Development and Validation of an Electronic Health Record-Based, Pediatric Acute Respiratory Distress Syndrome Subphenotype Classifier Model
This proof-of-concept study demonstrates that biomarker-based PARDS subphenotypes can be identified using EHR data at 24 hours of PARDS diagnosis. Further validation in larger, multicenter cohorts is needed to confirm the clinical utility of this approach.
Authors
- Sanjiv Mehta (ORCID: https://orcid.org/0000-0002-9983-6742)
- Blanca E. Himes (ORCID: https://orcid.org/0000-0002-2868-1333)
- Kathleen Chiotos (ORCID: https://orcid.org/0000-0002-0204-8708)
- L. Nelson Sanchez‐Pinto (ORCID: https://orcid.org/0000-0002-7434-6747)
- Mark Mai (ORCID: https://orcid.org/0000-0003-0346-5818)
- Daniel Balcarcel (ORCID: https://orcid.org/0009-0003-4450-9028)
- Nadir Yehya
Institutions
- Children's Hospital of Philadelphia (US)
- Lurie Children's Hospital (US)
- Children's Healthcare of Atlanta (US)
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University
- University of Pennsylvania (US)
Publication Details
- Journal
- Pediatric Critical Care Medicine
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1097/pcc.0000000000003709
- Citations
- 2
- Primary Topic
- Respiratory Support and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 3.04