Predicting 30-day and 1-year mortality in heart failure with preserved ejection fraction (HFpEF)
Models derived from EHR data can predict mortality after HFpEF hospitalization with comparable performance to models derived from registry or trial data, highlighting the potential for clinical implementation.
Authors
- Ikgyu Shin (ORCID: https://orcid.org/0009-0006-1921-0915)
- Karthik Murugiah (ORCID: https://orcid.org/0000-0001-7932-382X)
- Alaa Alashi
- Nilay Bhatt (ORCID: https://orcid.org/0009-0002-7913-9007)
- Keervani Kandala (ORCID: https://orcid.org/0000-0002-8568-2877)
Institutions
- Yale New Haven Hospital (US)
- Yale University (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1371/journal.pone.0336809
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00