Biomarker Enhanced Risk Prediction for Adverse Outcomes in Critically Ill Patients Receiving RRT | Zendy

Francis Pike | Zendy; Raghavan Murugan | Zendy; Christopher Keener | Zendy; Paul M. Palevsky | Zendy; Anitha Vijayan | Zendy; Mark L. Unruh | Zendy; Kevin W. Finkel | Zendy; XiaoYan Wen | Zendy; John A. Kellum | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Biomarker Enhanced Risk Prediction for Adverse Outcomes in Critically Ill Patients Receiving RRT

Author(s) -

Francis Pike,

Raghavan Murugan,

Christopher Keener,

Paul M. Palevsky,

Anitha Vijayan,

Mark L. Unruh,

Kevin W. Finkel,

XiaoYan Wen,

John A. Kellum

Publication year - 2015

Publication title -

clinical journal of the american society of nephrology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.755

H-Index - 151

eISSN - 1555-905X

pISSN - 1555-9041

DOI - 10.2215/cjn.09911014

Subject(s) - medicine , renal replacement therapy , receiver operating characteristic , biomarker , confidence interval , acute kidney injury , veterans affairs , prospective cohort study , intensive care medicine , biochemistry , chemistry

Higher plasma concentrations of inflammatory and apoptosis markers in critically ill patients receiving RRT are associated with RRT dependence and death. This study objective was to examine whether plasma inflammatory (IL-6, -8, -10, and -18; macrophage migration inhibitory factor) and apoptosis (death receptor-5, tumor necrosis factor receptor I and II) biomarkers augment risk prediction of renal recovery and mortality compared with clinical models.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research