Latent class analysis for identification of sub-phenotypes predicting prognosis in hospitalized out-of-hospital cardiac arrest
Our LCA classified OHCA into four sub-phenotypes showing significant differences for prognosis. In cases who achieved prehospital ROSC, it might be meaningful to continue advanced therapeutic interventions.
Authors
- Masahiro Kashiura (ORCID: https://orcid.org/0000-0002-1989-656X)
- Shunsuke Amagasa (ORCID: https://orcid.org/0000-0002-8371-1507)
- Yutaro Shinzato (ORCID: https://orcid.org/0009-0000-0917-9703)
- Hiroyuki Tamura (ORCID: https://orcid.org/0000-0002-1345-0647)
- Takashi Moriya (ORCID: https://orcid.org/0000-0001-7517-162X)
- Hideto Yasuda (ORCID: https://orcid.org/0000-0003-3153-1595)
- Yuki Kishihara (ORCID: https://orcid.org/0000-0002-9035-1466)
Institutions
- Griffith University (AU)
- Jichi Medical University (JP)
- The University of Queensland (AU)
- Keio University Hospital (JP)
- National Center For Child Health and Development (JP)
- Jichi Medical University Saitama Medical Center (JP)
Publication Details
- Journal
- The Journal of Critical Care Medicine
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2478/jccm-2025-0016
- Citations
- 1
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 2.25