Latent Class Analysis to Identify Novel Phenotypes in Exacerbations of COPD: A Retrospective, Multicenter Cohort Study.

ABSTRACT: This study aimed to identify novel phenotypes in patients with exacerbations of chronic obstructive pulmonary disease (ECOPD) to enable precise management, as current phenotypic classifications show limited utility in predicting patient prognosis. By analyzing data from a robust, retrospective multicenter registry (n = 13,449) and leveraging 133 biomarkers with penalized Cox models, we developed a six-phenotype latent class analysis model. Phenotype 1 is distinguished by elevated direct bilirubin (Dbil) and lactate dehydrogenase (LDH). Phenotype 2 features a higher percentage of lymphocytes (LYMPH_pct) and lower percentage of neutrophils (NEUT_pct). Phenotype 3 is marked by increased generalized cardiovascular disease (gCVD) and reduced NEUT_pct. Phenotype 4 is related to higher NEU

SUBMITTER: Hou X 

PROVIDER: S-EPMC12559894 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature