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ABSTRACT: Objective
To identify metabolomic biomarkers predictive of Intensive Care Unit (ICU) mortality in adults.Rationale
Comprehensive metabolomic profiling of plasma at ICU admission to identify biomarkers associated with mortality has recently become feasible.Methods
We performed metabolomic profiling of plasma from 90 ICU subjects enrolled in the BWH Registry of Critical Illness (RoCI). We tested individual metabolites and a Bayesian Network of metabolites for association with 28-day mortality, using logistic regression in R, and the CGBayesNets Package in MATLAB. Both individual metabolites and the network were tested for replication in an independent cohort of 149 adults enrolled in the Community Acquired Pneumonia and Sepsis Outcome Diagnostics (CAPSOD) study.Re
SUBMITTER: Rogers AJ
PROVIDER: S-EPMC3907548 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature