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Predicting Hospital Mortality in Critically Ill Cancer Patients according to Acute Kidney Injury Severity by Alexandre Braga Libório; Krasnalhia Lívia S. Abreu; Geraldo B. Silva, Jr.; Rafael S.A. Lima; Adller G.C. Barreto; Orivaldo A. Barbosa; Elizabeth F. Daher is a Medicine article available to read on EtoBox.
What is Predicting Hospital Mortality in Critically Ill Cancer Patients according to Acute Kidney Injury Severity about?
__Background:__ Acute kidney injury (AKI) is a frequent complication in hospitalized patients, especially in those in intensive care units (ICU). The RIFLE classification might be a valid prognostic factor for critically ill cancer patients. The present study aims to evaluate the discriminatory capacity of RIFLE versus other general prognostic scores in predicting hospital mortality in critically ill cancer patients. __Methods:__ This is a single-center study conducted in a cancer-specialized ICU in Brazil. All of the 288 patients hospitalized from May 2006 to June 2008 were included. RIFLE classification, APACHE II, SOFA, and SAPS II scores were calculated and the area under receiver operating characteristic (AROC) curves and logistic multiple regression were performed using hospital mortality as the outcome. __Results:__ AKI, defined by RIFLE criteria, was observed in 156 (54.2%) patients. The distribution of patients with any degree of AKI was: risk, n = 96 (33.3%); injury, n = 30 (10.4%), and failure, n = 30 (10.4%). Mortality was 13.6% for non-AKI patients, 49% for RIFLE ‘R’ patients, 62.3% for RIFLE ‘I’ patients, and 86.8% for RIFLE ‘F’ patients (p = 0.0006). Logistic regress
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- Author
- Alexandre Braga Libório; Krasnalhia Lívia S. Abreu; Geraldo B. Silva, Jr.; Rafael S.A. Lima; Adller G.C. Barreto; Orivaldo A. Barbosa; Elizabeth F. Daher
- Publisher
- S. Karger AG
- Published
- 2011
- Language
- EN
- Field
- Medicine (Health Sciences)