Cluster analysis to define distinct clinical phenotypes among septic patients with bloodstream infections.

ABSTRACT: Prior attempts at identifying outcome determinants associated with bloodstream infection have employed a priori determined classification schemes based on readily identifiable microbiology, infection site, and patient characteristics. We hypothesized that even amongst this heterogeneous population, clinically relevant groupings can be described that transcend old a priori classifications.We applied cluster analysis to variables from three domains: patient characteristics, acuity of illness/clinical presentation and infection characteristics. We validated our clusters based on both content validity and predictive validity.Among 3715 patients with bloodstream infections from Barnes-Jewish Hospital (2008-2015), the most stable cluster arrangement occurred with the formation of 4 clusters. Thi

SUBMITTER: Guilamet MCV 

PROVIDER: S-EPMC6494365 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature