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Latent class analysis for identification of sub-phenotypes predicting prognosis in hospitalized out-of-hospital cardiac arrest

1 Apr 2025

Abstract excerpt

Aim of the study: To determine which out-of-hospital cardiac arrest (OHCA) patients should receive advanced treatment is extremely challenging. The objective was to identify sub-phenotypes predicting the prognoses of adult OHCA patients by latent class analysis (LCA) using data up to just after admission. Material and Methods: We conducted a retrospective observational study using multicentre OHCA registry from...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 40386702
DOI: 10.2478/jccm-2025-0016

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