Prediction of multiple infections after severe burn trauma: a prospective cohort study.

ABSTRACT:

Objective

To develop predictive models for early triage of burn patients based on hypersusceptibility to repeated infections.

Background

Infection remains a major cause of mortality and morbidity after severe trauma, demanding new strategies to combat infections. Models for infection prediction are lacking.

Methods

Secondary analysis of 459 burn patients (≥16 years old) with 20% or more total body surface area burns recruited from 6 US burn centers. We compared blood transcriptomes with a 180-hour cutoff on the injury-to-transcriptome interval of 47 patients (≤1 infection episode) to those of 66 hypersusceptible patients [multiple (≥2) infection episodes (MIE)]. We used LASSO regression to select biomarkers and multivariate logistic regression to built models, accurac

SUBMITTER: Yan S 

PROVIDER: S-EPMC4284150 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature