Prediction of Mortality From Symptom Cluster Patterns Among Patients Hospitalized With Decompensated Heart Failure: A Multi-Institutional Database Study
Symptom clusters predict in-hospital death and subsequent cardiac events. Monitoring and managing these clusters promptly could potentially decrease mortality rates and prevent unnecessary hospitalizations in patients with HF.
Authors
- Pao‐Feng Tsai (ORCID: https://orcid.org/0000-0003-2574-4930)
- Tsuey-Yuan Huang
- Li-Fen Chao (ORCID: https://orcid.org/0000-0002-0201-5009)
- Chin‐Yen Lin (ORCID: https://orcid.org/0000-0003-1774-1991)
- Chunli Wang (ORCID: https://orcid.org/0000-0001-8891-1797)
- Ming-Fen Tsai
- Jia-Rong Wu
Institutions
- Chang Gung University of Science and Technology (TW)
- Chang Gung University (TW)
- Knoxville College (US)
- Linkou Chang Gung Memorial Hospital (TW)
- University of Tennessee at Knoxville (US)
- Auburn University (US)
Publication Details
- Journal
- The Journal of Cardiovascular Nursing
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1097/jcn.0000000000001207
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00