A Multibiomarker-Based Model for Estimating the Risk of Septic Acute Kidney Injury.

ABSTRACT:

Objective

The development of acute kidney injury in patients with sepsis is associated with worse outcomes. Identifying those at risk for septic acute kidney injury could help to inform clinical decision making. We derived and tested a multibiomarker-based model to estimate the risk of septic acute kidney injury in children with septic shock.

Design

Candidate serum protein septic acute kidney injury biomarkers were identified from previous transcriptomic studies. Model derivation involved measuring these biomarkers in serum samples from 241 subjects with septic shock obtained during the first 24 hours of admission and then using a Classification and Regression Tree approach to estimate the probability of septic acute kidney injury 3 days after the onset of septic shock, defi

SUBMITTER: Wong HR 

PROVIDER: S-EPMC4667777 | biostudies-literature | 2015 Aug

REPOSITORIES: biostudies-literature