Grouping of Emergency Department-based Cardiac Arrest Patients According to Clinical Features to Assess Patient Outcomes
We identified three novel clusters (immediate, early, and late risk) with distinct patterns in clinical presentation, putative causes of ED-based cardiac arrest, and ED outcomes. Understanding these clinical phenotypes may help develop cluster-specific interventions to prevent EDCA or intervene most appropriately. Cluster 1 patients may benefit from resuscitation efforts, and Clusters 2 or 3 patients can benefit from timely interventions for cardiac, respiratory, and neurologic emergencies. In addition, for patients with prolonged ED boarding, periodic monitoring with an early warning system may prevent a cardiac arrest event.
Authors
- Po-Yuan Shih (ORCID: https://orcid.org/0000-0002-1096-9179)
- Jeffrey Jia Jun Leow (ORCID: https://orcid.org/0000-0002-6216-1913)
- Chien‐Hua Huang (ORCID: https://orcid.org/0000-0003-2981-4537)
- CHIH-HUNG WANG
- Tsung‐Chien Lu (ORCID: https://orcid.org/0000-0003-2729-7142)
- Chu‐Lin Tsai (ORCID: https://orcid.org/0000-0003-4639-1513)
- Jinyao Gao
Institutions
- University of Tennessee Health Science Center (US)
- National Taiwan University (TW)
- National Taiwan University Hospital (TW)
Publication Details
- Journal
- Western Journal of Emergency Medicine
- Published
- 2025-11-26
- DOI
- https://doi.org/10.5811/westjem.46556
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00