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PURPOSE: We undertook this study to characterize the epidemiology of acute kidney injury (AKI) in Canadian critical care units. We aimed to identify predictors of mortality for patients diagnosed with AKI. METHODS: We conducted a prospective cohort study of consecutive patients admitted to critical care units at five Canadian hospitals over a 30-day period. Each patient was followed until hospital discharge or for a maximum of 30 days. The serum creatinine criteria for the Acute Kidney Injury Network (AKIN-SCr) system were used to identify, classify, and characterize patients who developed AKI. We used multivariable logistic regression to predict 30-day mortality among patients with AKI. RESULTS: We identified 603 patients, 161 (26.7%) of whom developed AKI. Compared to patients without AKI, those with AKI were more likely to die (29.2% vs 8.6%, P < 0.001). The risk of death increased with increasing AKIN-SCr stage (P < 0.001). In all, 19 patients (11.8% of those with AKI) commenced dialysis a median of one day (interquartile range, one to two days) after AKI diagnosis. At AKI diagnosis, the blood urea nitrogen (BUN) level (adjusted odds ratio [OR] 1.68, 95% confidence interval [CI] 1.01 to 2.79/10 mmol·L(-1)) and serum bicarbonate (adjusted OR 0.88, 95% CI 0.81 to 0.95/1 mmol·L(-1)) were associated with 30-day mortality and predicted death with an area under the receiver-operating characteristic curve of 0.79 (95% CI 0.71 to 0.86). CONCLUSIONS: Acute kidney injury is a common complication of critical illness in Canada. The development of even the mildest stage of AKI is associated with a substantially higher risk of death. At AKI diagnosis, routine clinical data may be helpful for predicting adverse outcomes.

Original publication

DOI

10.1007/s12630-012-9761-1

Type

Journal article

Journal

Canadian journal of anaesthesia = Journal canadien d'anesthesie

Publication Date

10/2012

Volume

59

Pages

934 - 942

Addresses

Division of Nephrology, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Keywords

Humans, Creatinine, Treatment Outcome, Renal Dialysis, Multivariate Analysis, Logistic Models, Survival Analysis, Cohort Studies, Follow-Up Studies, Prospective Studies, ROC Curve, Time Factors, Adult, Aged, Aged, 80 and over, Middle Aged, Intensive Care Units, Hospitals, Canada, Female, Male, Acute Kidney Injury