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Article

Association between sub-phenotypes identified using latent class analysis and neurological outcomes in patients with out-of-hospital cardiac arrest in Japan.

BMC cardiovascular disorders - 14 Jun 2024

Tamura Hiroyuki, Yasuda Hideto, Oishi Takatoshi, Shinzato Yutaro, Amagasa Shunsuke, Kashiura Masahiro, Moriya Takashi

Abstract excerpt

BACKGROUND: In patients who experience out-of-hospital cardiac arrest (OHCA), it is important to assess the association of sub-phenotypes identified by latent class analysis (LCA) using pre-hospital prognostic factors and factors measurable immediately after hospital arrival with neurological outcomes at 30 days, which would aid in making treatment decisions. METHODS: This study retrospectively analyzed data...

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PMID: 38877462
DOI: 10.1186/s12872-024-03975-z
PMCID: PMC11177357

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