Identification of Acute Respiratory Failure Phenotypes With Electronic Health Record Data.

ABSTRACT:

Background

Secondary analysis of clinical trial data and highly selected observational cohorts have identified 2 subphenotypes in acute respiratory failure, but have not been reported previously using only real-world electronic health record (EHR) data.

Research question

Are subphenotypes of acute ventilator-dependent respiratory failure identifiable using readily available EHR data?

Study design and methods

This multicenter retrospective cohort study used patient encounters from the Medical University of South Carolina (n = 4,233 between 2016 and 2023) and the Medical Information Mart for Intensive Care III (n = 8,313 between 2001 and 2012) to train and validate K-means models with multiply imputed cluster analysis at 24 and 48 hours after intubation.

Results

SUBMITTER: Terry CR 

PROVIDER: S-EPMC12646598 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature