• Won Ho Kim, Sangmin M Lee, Ji Won Choi, Eun Hee Kim, Jong Hwan Lee, Jae Woong Jung, Joong Hyun Ahn, Ki Ick Sung, Chung Su Kim, and Hyun Sung Cho.
• Department of Anesthesiology and Pain Medicine.
• J. Cardiothorac. Vasc. Anesth.. 2013 Dec 1;27(6):1158-66.

ObjectiveThe authors identified risk factors for acute kidney injury (AKI) defined by risk, injury, failure, loss, end-stage (RIFLE) criteria after aortic surgery with cardiopulmonary bypass and constructed a simplified risk score for the prediction of AKI.DesignRetrospective and observational.SettingSingle large university hospital.ParticipantsPatients (737) who underwent aortic surgery with cardiopulmonary bypass between 1997 and 2010.Main ResultsMultivariate logistic regression analysis was used to evaluate risk factors. A scoring model was developed in a randomly selected derivation cohort (n = 417), and was validated on the remaining patients. The scoring model was developed with a score based on regression β-coefficient, and was compared with previous indices as measured by the area under the receiver operating characteristic curve (AUC). The incidence of AKI was 29.0%, and 5.8% required renal replacement therapy. Independent risk factors for AKI were age older than 60 years, preoperative glomerular filtration rate <60 mL/min/1.73 m(2), left ventricular ejection fraction <55%, operation time >7 hours, intraoperative urine output <0.5 mL/kg/h, and intraoperative furosemide use. The authors made a score by weighting them at 1 point each. The risk score was valid in predicting AKI, and the AUC was 0.74 [95% confidence interval (CI): 0.69 to 0.79], which was similar to that in the validation cohort: 0.74 (95% CI: 0.69 to 0.80; p = 0.97). The risk-scoring model showed a better performance compared with previously reported indices.ConclusionsThe model would provide a simplified clinical score stratifying the risk of postoperative AKI in patients undergoing aortic surgery.Copyright © 2013 Elsevier Inc. All rights reserved.

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