Acute Kidney Injury Biomarkers for Patients in a Coronary Care Unit: A Prospective Cohort StudyReportar como inadecuado




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Background

Renal dysfunction is an established predictor of all-cause mortality in intensive care units. This study analyzed the outcomes of coronary care unit CCU patients and evaluated several biomarkers of acute kidney injury AKI, including neutrophil gelatinase-associated lipocalin NGAL, interleukin-18 IL-18 and cystatin C CysC on the first day of CCU admission.

Methodology-Principal Findings

Serum and urinary samples collected from 150 patients in the coronary care unit of a tertiary care university hospital between September 2009 and August 2010 were tested for NGAL, IL-18 and CysC. Prospective demographic, clinical and laboratory data were evaluated as predictors of survival in this patient group. The most common cause of CCU admission was acute myocardial infarction 80%. According to Acute Kidney Injury Network criteria, 28.7% 43-150 of CCU patients had AKI of varying severity. Cumulative survival rates at 6-month follow-up following hospital discharge differed significantly p<0.05 between patients with AKI versus those without AKI. For predicting AKI, serum CysC displayed an excellent areas under the receiver operating characteristic curve AUROC 0.895±0.031, p<0.001. The overall 180-day survival rate was 88.7% 133-150. Multiple Cox logistic regression hazard analysis revealed that urinary NGAL, serum IL-18, Acute Physiology, Age and Chronic Health Evaluation II APACHE II and sodium on CCU admission day one were independent risk factors for 6-month mortality. In terms of 6-month mortality, urinary NGAL had the best discriminatory power, the best Youden index, and the highest overall correctness of prediction.

Conclusions

Our data showed that serum CysC has the best discriminative power for predicting AKI in CCU patients. However, urinary NGAL and serum IL-18 are associated with short-term mortality in these critically ill patients.



Autor: Tien-Hsing Chen , Chih-Hsiang Chang , Chan-Yu Lin, Chang-Chyi Jenq, Ming-Yang Chang, Ya-Chung Tian, Cheng-Chieh Hung, Ji-Tseng Fa

Fuente: http://plos.srce.hr/



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