Gene signature for the prediction of the trajectories of sepsis-induced acute kidney injury.

ABSTRACT:

Background

Acute kidney injury (AKI) is a common complication in sepsis. However, the trajectories of sepsis-induced AKI and their transcriptional profiles are not well characterized.

Methods

Sepsis patients admitted to centres participating in Chinese Multi-omics Advances In Sepsis (CMAISE) from November 2020 to December 2021 were enrolled, and gene expression in peripheral blood mononuclear cells was measured on Day 1. The renal function trajectory was measured by the renal component of the SOFA score (SOFA_renal) on Days 1 and 3. Transcriptional profiles on Day 1 were compared between these renal function trajectories, and a support vector machine (SVM) was developed to distinguish transient from persistent AKI.

Results

A total of 172 sepsis patients were

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC9773539 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature