Acute kidney injury in intensive care unit patients: a comparison between the RIFLE and the Acute Kidney Injury Network classifications

被引:187
作者
Lopes, Jose Antonio [1 ]
Fernandes, Paulo [1 ]
Jorge, Sofia [1 ]
Goncalves, Sara [1 ]
Alvarez, Antonio [2 ]
Costa e Silva, Zelia [2 ]
Franca, Carlos [2 ]
Prata, Mateus Martins [1 ]
机构
[1] Hosp Santa Maria, Dept Nephrol & Renal Transplantat, P-1649035 Lisbon, Portugal
[2] Hosp Santa Maria, Dept Intens Med, P-1649035 Lisbon, Portugal
来源
CRITICAL CARE | 2008年 / 12卷 / 04期
关键词
D O I
10.1186/cc6997
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Introduction Whether discernible advantages in terms of sensitivity and specificity exist with Acute Kidney Injury Network (AKIN) criteria versus Risk, Injury, Failure, Loss of Kidney Function, End-stage Kidney Disease (RIFLE) criteria is currently unknown. We evaluated the incidence of acute kidney injury and compared the ability of the maximum RIFLE and of the maximum AKIN within intensive care unit hospitalization in predicting inhospital mortality of critically ill patients. Methods Patients admitted to the Department of Intensive Medicine of our hospital between January 2003 and December 2006 were retrospectively evaluated. Chronic kidney disease patients undergoing dialysis or renal transplant patients were excluded from the analysis. Results In total, 662 patients (mean age, 58.6 +/- 19.2 years; 392 males) were evaluated. AKIN criteria allowed the identification of more patients as having acute kidney injury (50.4% versus 43.8%, P = 0.018) and classified more patients with Stage 1 (risk in RIFLE) (21.1% versus 14.7%, P = 0.003), but no differences were observed for Stage 2 (injury in RIFLE) (10.1% versus 11%, P = 0.655) and for Stage 3 (failure in RIFLE) (19.2% versus 18.1%, P = 0.672). Mortality was significantly higher for acute kidney injury defined by any of the RIFLE criteria (41.3% versus 11%, P < 0.0001; odds ratio = 2.78, 95% confidence interval = 1.74 to 4.45, P < 0.0001) or of the AKIN criteria (39.8% versus 8.5%, P < 0.0001; odds ratio = 3.59, 95% confidence interval = 2.14 to 6.01, P < 0.0001). The area under the receiver operator characteristic curve for inhospital mortality was 0.733 for RIFLE criteria (P < 0.0001) and was 0.750 for AKIN criteria (P < 0.0001). There were no statistical differences in mortality by the acute kidney injury definition/ classification criteria (P = 0.72). Conclusions Although AKIN criteria could improve the sensitivity of the acute kidney injury diagnosis, it does not seem to improve on the ability of the RIFLE criteria in predicting inhospital mortality of critically ill patients.
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