Identification of Acute Respiratory Failure Phenotypes With Electronic Health Record Data
Our results suggest that acute ventilator-dependent respiratory failure has 2 subphenotypes that are discernible using readily available data from EHRs with identifiable differences in pulmonary physiologic features, perfusion, organ dysfunction, and metabolic dysregulation at 24 and 48 hours after intubation. This may enable future EHR tools to identify particularly vulnerable patients.
Authors
- Andrew Goodwin (ORCID: https://orcid.org/0000-0002-6543-9458)
- Charles R. Terry (ORCID: https://orcid.org/0000-0001-5457-6265)
- Daniel Brinton (ORCID: https://orcid.org/0000-0002-7888-6708)
- Katie Kirchoff (ORCID: https://orcid.org/0000-0002-9552-7176)
- Dee W. Ford (ORCID: https://orcid.org/0000-0002-3846-6848)
Institutions
- Medical University of South Carolina (US)
Publication Details
- Journal
- CHEST Critical Care
- Published
- 2025-04-22
- DOI
- https://doi.org/10.1016/j.chstcc.2025.100163
- Citations
- 1
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- U.S. Department of Health and Human Services
- National Institutes of Health
- Health Resources and Services Administration
- National Center for Advancing Translational Sciences