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

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

Abstract 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 neurologica...

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Bibliographic Details
Main Authors: Hiroyuki Tamura, Hideto Yasuda, Takatoshi Oishi, Yutaro Shinzato, Shunsuke Amagasa, Masahiro Kashiura, Takashi Moriya
Format: Article
Language:English
Published: BMC 2024-06-01
Series:BMC Cardiovascular Disorders
Subjects:
Cardiac arrest
Latent class analysis
Sub-phenotype
Glasgow coma scale
Partial pressure of arterial oxygen
Online Access:https://doi.org/10.1186/s12872-024-03975-z

Internet

https://doi.org/10.1186/s12872-024-03975-z

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