Identifying distinct clusters of ICU survivors by integrating demographic, pre-admission quality of life, and clinical data: a large prospective cohort study.

ABSTRACT:

Purpose

ICU patients differ in pre-ICU health status, comorbidities, and diagnosis, forming a heterogeneous population with diverse long-term outcomes. This study explored whether clustering ICU patients by demographic, pre-admission quality of life, and clinical data, rather than by diagnosis, could identify subgroups that are more informative for patient-centered outcomes post-ICU.

Methods

Data from the MONITOR-IC prospective cohort study were used. Demographic, pre-admission quality of life, and clinical data from 2361 adult ICU survivors of six hospitals were used to identify clusters, using the k-prototypes algorithm. Data from five additional hospitals (n = 866) were used for external validation. Self-reported physical, mental, and cognitive functioning, and quality of

SUBMITTER: Porter LL 

PROVIDER: S-EPMC12405309 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature