Incorporation of Biomarkers with the Renal Angina Index for Prediction of Severe AKI in Critically Ill Children
Author(s) -
Rajit K. Basu,
Yu Wang,
Hector R. Wong,
Lakhmir S. Chawla,
Derek S. Wheeler,
Stuart L. Goldstein
Publication year - 2014
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.09720913
Subject(s) - medicine , critically ill , intensive care medicine , acute kidney injury , cardiology , angina , myocardial infarction
Novel AKI biomarkers carry variable performance for prediction of AKI in patients with heterogeneous illness. Until utility is demonstrated in critically ill patients outside of the cardiopulmonary bypass population, AKI biomarkers are unlikely to gain widespread implementation. Operationalization of an AKI risk stratification methodology, termed renal angina, was recently reported to enhance prediction at the time of intensive care unit admission for persistent severe AKI. The renal angina index (RAI) was developed to provide the clinical context to direct AKI biomarker testing. This study tested the hypothesis that incorporation of AKI biomarkers in patients fulfilling renal angina improves the prediction of persistent severe AKI.
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