Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity
This prognostic study of prediction models for detecting neurologic morbidity in critically ill children demonstrated a well-performing ensemble of models with biomolecular corroboration. Prospective assessment and refinement of biomarker-coupled risk models in pediatric critical illness are warranted.
Authors
- Amie J. Barda (ORCID: https://orcid.org/0000-0002-7361-077X)
- Eddie Pérez Claudio (ORCID: https://orcid.org/0000-0002-8452-3778)
- Christopher M. Horvat (ORCID: https://orcid.org/0000-0002-1593-2252)
- Alicia K. Au (ORCID: https://orcid.org/0000-0001-6734-1262)
- Mark Wainwright (ORCID: https://orcid.org/0000-0002-7586-9603)
- Harry Hochheiser (ORCID: https://orcid.org/0000-0001-8793-9982)
- Neil Munjal (ORCID: https://orcid.org/0000-0001-9593-7549)
- Qingyang Li (ORCID: https://orcid.org/0000-0003-1560-7270)
- Tanupat Boonchalermvichien
- Robert S. B. Clark
- Ruoting Li
- Andrew Bauman
Institutions
- Seattle Children's Hospital (US)
- University of Wisconsin–Madison (US)
- University of Pittsburgh (US)
Publication Details
- Journal
- JAMA Network Open
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1001/jamanetworkopen.2024.57469
- Citations
- 5
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.77