Comparison of RIFLE, AKIN, and KDIGO classifications for assessing prognosis of patients on extracorporeal membrane oxygenation

• Published in: Journal of the Formosan Medical Association 2017-11, Vol.116 (11), p.844-851
• Main Authors: Tsai, Tsung-Yu, Chien, Hao, Tsai, Feng-Chun, Pan, Heng-Chih, Yang, Huang-Yu, Lee, Shen-Yang, Hsu, Hsiang-Hao, Fang, Ji-Tseng, Yang, Chih-Wei, Chen, Yung-Chang
• Format: Article
• Language: English
• Subjects: Acute Kidney Injury - classification; Acute Kidney Injury - mortality; Adult; Aged; AKIN; Creatinine - blood; ECMO; Extracorporeal Membrane Oxygenation - adverse effects; Female; Hospital Mortality; Humans; Kaplan-Meier Estimate; KDIGO; Kidney - physiopathology; Kidney Failure, Chronic - classification; Kidney Failure, Chronic - mortality; Linear Models; Male; Middle Aged; Prognosis; Retrospective Studies; RIFLE; ROC Curve; Severity of Illness Index; Survival Rate; Taiwan
• ISSN: 0929-6646; 1876-0821
• DOI: 10.1016/j.jfma.2017.08.004

Acute kidney injury (AKI) developing during extracorporeal membrane oxygenation (ECMO) is associated with very poor outcome. The Kidney Disease: Improving Global Outcomes (KDIGO) group published a new AKI definition in 2012. This study analyzed the outcomes of patients treated with ECMO and identified the relationship between the prognosis and the KDIGO classification. This study examined total 312 patients initially, and finally reviewed the medical records of 167 patients on ECMO support at a tertiary care university hospital between March 2002 and November 2011. Demographic, clinical, and laboratory variables were retrospectively collected as survival predicators. The overall mortality rate was 55.7%. In the analysis of the areas under the receiver operating characteristic curves, the KDIGO classification showed relatively higher discriminatory power (0.840 ± 0.032) than the Risk of renal failure, Injury to the kidney, Failure of kidney function, Loss of kidney function, and End-stage renal failure (RIFLE) (0.826 ± 0.033) and Acute Kidney Injury Network (AKIN) (0.836 ± 0.032) criteria in predicting in-hospital mortality. Furthermore, multiple logistic regression analysis showed that KDIGO, hemoglobin, and Glasgow Coma Scale score on the first day of patients on ECMO were independent predictors for in-hospital mortality. Finally, cumulative survival rates at 6-month follow-up after hospital discharge differed significantly for KDIGO stage 3 versus KDIGO stage 0, 1, and 2 (p