Integrative omics to detect bacteremia in patients with febrile neutropenia.

ABSTRACT:

Background

Cancer chemotherapy-associated febrile neutropenia (FN) is a common condition that is deadly when bacteremia is present. Detection of bacteremia depends on culture, which takes days, and no accurate predictive tools applicable to the initial evaluation are available. We utilized metabolomics and transcriptomics to develop multivariable predictors of bacteremia among FN patients.

Methods

We classified emergency department patients with FN and no apparent infection at presentation as bacteremic (cases) or not (controls), according to blood culture results. We assessed relative metabolite abundance in plasma, and relative expression of 2,560 immunology and cancer-related genes in whole blood. We used logistic regression to identify multivariable predictors of bactere

SUBMITTER: Kelly RS 

PROVIDER: S-EPMC5955575 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature