A Prediction Model for Severe AKI in Critically Ill Adults That Incorporates Clinical and Biomarker Data

BACKGROUND AND OBJECTIVES: Critically ill patients with worsening AKI are at high risk for poor outcomes. Predicting which patients will experience progression of AKI remains elusive. We sought to develop and validate a risk model for predicting severe AKI within 72 hours after intensive care unit a...

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Bibliografiske detaljer
Udgivet i:Clin J Am Soc Nephrol
Main Authors: Bhatraju, Pavan Kumar, Zelnick, Leila R., Katz, Ronit, Mikacenic, Carmen, Kosamo, Susanna, Hahn, William O., Dmyterko, Victoria, Kestenbaum, Bryan, Christiani, David C., Liles, W. Conrad, Himmelfarb, Jonathan, Wurfel, Mark M.
Format: Artigo
Sprog:Inglês
Udgivet: American Society of Nephrology 2019
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Original Articles
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6450340/
https://ncbi.nlm.nih.gov/pubmed/30917991
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2215/CJN.04100318
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