Perioperative management
Preoperative proteinuria predicts acute kidney injury in patients undergoing cardiac surgery

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Objective

The study objective was to examine the utility of using proteinuria in preoperative risk stratification for acute kidney injury. Acute kidney injury is a common and important complication for patients undergoing cardiac surgery. Proteinuria, which reflects structural damage to the glomeruli or renal tubules, may aid the prediction of acute kidney injury.

Methods

The urine albumin to creatinine ratio and dipstick proteinuria concentration were prospectively measured in 1159 patients undergoing cardiac surgery. The cohort was organized into 4 clinical risk categories based on the preoperative urine albumin to creatinine ratio: 10 mg/g or less (≤1.1 mg/mmol), 11 to 29 mg/g (1.2–3.3 mg/mmol), 30 to 299 mg/g (3.4–33.8 mg/mmol), and 300 mg/g or greater (≥33.9 mg/mmol). The primary outcome was postoperative acute kidney injury, defined by the Acute Kidney Injury Network stage I criterion (serum creatinine increase ≥ 50% or ≥ 0.3 mg/dL; 26.5 μmol/L).

Results

An increase in the incidence of acute kidney injury was noted across the urine albumin to creatinine ratio categories. Adding the urine albumin to creatinine ratio to the clinical model to predict acute kidney injury improved the area under the curve from 0.67 to 0.70 (P < .001), and the continuous net reclassification improvement was 29% (P < .001). The urine albumin to creatinine ratio was also independently associated with the risk of in-hospital dialysis and intensive care unit and hospital lengths of stay. Surgery status and preoperative glomerular filtration rate were effect modifiers; the association was stronger among those undergoing elective surgery and those with an estimated glomerular filtration rate of 45 mL/min/1.73 m2 or greater.

Conclusions

Preoperative proteinuria provides graded stratification risk for acute kidney injury and is an independent predictor of other outcomes in patients undergoing cardiac surgery.

CTSNet classifications

18
23.1
41.3

Abbreviations and Acronyms

AKI
acute kidney injury
AKIN
Acute Kidney Injury Network
AUC
area under the curve
CABG
coronary artery bypass grafting
eGFR
estimated glomerular filtration rate
GFR
glomerular filtration rate
UACR
urine albumin to creatinine ratio

Cited by (0)

The research reported in this article was supported by the American Heart Association Clinical Development award; Grant R01HL-085757 from the National Heart, Lung, and Blood Institute; and CTSA Grant UL1 RR024139 from the National Center for Research Resources.

Disclosures: Dr Devarajan is a consultant to Abbott Diagnostics and Biosite, Inc. All other authors have nothing to disclose with regard to commercial support.

Members of the AKI-TRIBE consortium: Yale-New Haven: Drs Michael Dewar, Umer Darr, Sabet Hashim, Richard Kim, John Elefteriades, Arnar Geirsson, Susan Garwood, Prakash Nadkarni, and Simon Li. Danbury: Dr Cary Passik. London: Drs Michael Chu, Martin Goldbach, Lin Ruo Guo, Bob Kiaii, Neil McKenzie, Mary Lee Myers, Richard Novick, and Mac Quantz. Chicago: Drs Jay Koyner, Patrick Murray, Shahab A. Akhter, Jai Raman, and Valluvan Jeevanandam. Cincinnati: Drs Catherine D. Krawczeski, Michael Bennett, and Qing Ma.