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Dataset Information

A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients.


ABSTRACT:

Objectives

Clinically deployable methods for the rapid and accurate prediction of sepsis severity that could elicit a meaningful change in clinical practice are currently lacking. We evaluated a whole-blood, multiplex host-messenger RNA expression metric, Inflammatix-Severity-2, for identifying septic, hospitalized patients' likelihood of 30-day mortality, development of chronic critical illness, discharge disposition, and/or secondary infections.

Design

Retrospective, validation cohort analysis.

Setting

Single, academic health center ICU.

Patients

Three hundred thirty-five critically ill adult surgical patients with sepsis.

Interventions

None.

Measurements and main results

Whole blood was collected in PAXgene Blood RNA collection tubes at 24 hour

SUBMITTER: Brakenridge SC 

PROVIDER: S-EPMC8522866 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature