Prognostic value of acute kidney injury after cardiac surgery according to kidney disease: improving global outcomes definition and staging (KDIGO) criteria

• Published in: PloS one Vol. 9; no. 5; p. e98028
• Main Authors: Machado, Maurício N, Nakazone, Marcelo A, Maia, Lilia N
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 14-05-2014; Public Library of Science (PLoS)
• Subjects: Acute Kidney Injury - diagnosis; Acute Kidney Injury - etiology; Acute Kidney Injury - mortality; Acute Kidney Injury - physiopathology; Aged; Analysis; Bypass; Coronary artery; Coronary artery bypass; Coronary Artery Bypass - adverse effects; Coronary vessels; Criteria; Diagnostic systems; Dialysis; Epidemiology; Female; Health aspects; Heart surgery; Heart Valves - pathology; Heart Valves - surgery; Hospital costs; Hospital Mortality; Humans; Intensive care; Kidney diseases; Kidney Function Tests; Kidney transplantation; Kidneys; Male; Medical schools; Medicine and Health Sciences; Middle Aged; Morbidity; Mortality; Patients; Postoperative Complications; Prognosis; Proportional Hazards Models; Regression analysis; Renal Dialysis - statistics & numerical data; Renal failure; Renal function; Studies; Surgery; Thoracic surgery; Urine; Veins & arteries; Women; Brazil
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0098028

The definition of acute renal failure has been recently reviewed, and the term acute kidney injury (AKI) was proposed to cover the entire spectrum of the syndrome, ranging from small changes in renal function markers to dialysis needs. This study was aimed to evaluate the incidence, morbidity and mortality associated with AKI (based on KDIGO criteria) in patients after cardiac surgery (coronary artery bypass grafting or cardiac valve surgery) and to determine the value of this feature as a predictor of hospital mortality (30 days).
From January 2003 to June 2013, a total of 2,804 patients underwent cardiac surgery in our service. Cox proportional hazard models were used to determine the association between the development of AKI and 30-day mortality.
A total of 1,175 (42%) patients met the diagnostic criteria for AKI based on KDIGO classification during the first 7 postoperative days: 978 (35%) patients met the diagnostic criteria for stage 1 while 100 (4%) patients met the diagnostic criteria for stage 2 and 97 (3%) patients met the diagnostic criteria for stage 3. A total of 63 (2%) patients required dialysis treatment. Overall, the 30-day mortality was 7.1% (2.2%) for patients without AKI and 8.2%, 31% and 55% for patients with AKI at stages 1, 2 and 3, respectively. The KDIGO stage 3 patients who did not require dialysis had a mortality rate of 41%, while the mortality of dialysis patients was 62%. The adjusted Cox regression analysis revealed that AKI based on KDIGO criteria (stages 1-3) was an independent predictor of 30-day mortality (P<0.001 for all. Hazard ratio = 3.35, 11.94 and 24.85).
In the population evaluated in the present study, even slight changes in the renal function based on KDIGO criteria were considered as independent predictors of 30-day mortality after cardiac surgery.