BACKGROUND: We explore the association between short- and long- term adverse outcomes following coronary artery bypass grafting (CABG) and the degree of preoperative renal dysfunction classified on glomerular fraction estimated with Chronic Kidney Disease-Epidemiology Collaboration equation (eGFRCKD-EPI). We also try to identify cut-off values of eGFRCKD-EPI able to predict post-CABG unfavorable events and assess whether a reclassification with new thresholds is necessary. METHODS: One-thousand-one-hundred-eighty-six consecutive patients undergoing CABG between 2005 and 2014 were categorized in 4 groups according to the eGFRCKD-EPI: Group 1 (≥60ml/min/1.73m2; n=1199), Group 2 (45-59ml/min/1.73m2; n=358), Group 3 (30-44ml/min/1.73m2; n=171) and Group 4 (≤29ml/min/1.73m2; n=126). Median follow-up was 66months [IQR 46-84]. RESULTS: eGFRCKD-EPI ≤30ml/min/1.73m2, ≤41ml/min/1.73m2, ≤27ml/min/1.73m2 and ≤29ml/min/1.73m2 were strong predictors of early mortality (OR 5.88 [95% CI 2.59-11.25]), stroke (2.59 [1.43-3.71]), prolonged length of stay (3.49 [1.24-5.92]) and postoperative dialysis (3.68 [1.34-4.91]), respectively. In addition, eGFRCKD-EPI ≤26ml/min/1.73m2, ≤25ml/min/1.73m2, ≤35ml/min/1.73m2 and ≤29ml/min/1.73m2 predicted all-cause death (hazard ratio 2.74 [95% CI 2.10-3.92] cardiovascular death (sub-hazard ratio 2.11 [95% CI 1.42-3.90]), myocardial infarction (2.01 [1.32-3.70]) and heart failure (2.24 [1.41-3.93]), respectively. Analyses corrected by age and left ventricular ejection fraction confirmed these findings. CONCLUSIONS: In our experience, the use of the eGFRCKD-EPI equation led to categorization with a significantly lower number of patients at risk for post-CABG complications. This might have important clinical repercussions on allocation of healthcare resources and more targeted prevention and management of CABG complications.
BACKGROUND: We explore the association between short- and long- term adverse outcomes following coronary artery bypass grafting (CABG) and the degree of preoperative renal dysfunction classified on glomerular fraction estimated with Chronic Kidney Disease-Epidemiology Collaboration equation (eGFRCKD-EPI). We also try to identify cut-off values of eGFRCKD-EPI able to predict post-CABG unfavorable events and assess whether a reclassification with new thresholds is necessary. METHODS: One-thousand-one-hundred-eighty-six consecutive patients undergoing CABG between 2005 and 2014 were categorized in 4 groups according to the eGFRCKD-EPI: Group 1 (≥60ml/min/1.73m2; n=1199), Group 2 (45-59ml/min/1.73m2; n=358), Group 3 (30-44ml/min/1.73m2; n=171) and Group 4 (≤29ml/min/1.73m2; n=126). Median follow-up was 66months [IQR 46-84]. RESULTS: eGFRCKD-EPI ≤30ml/min/1.73m2, ≤41ml/min/1.73m2, ≤27ml/min/1.73m2 and ≤29ml/min/1.73m2 were strong predictors of early mortality (OR 5.88 [95% CI 2.59-11.25]), stroke (2.59 [1.43-3.71]), prolonged length of stay (3.49 [1.24-5.92]) and postoperative dialysis (3.68 [1.34-4.91]), respectively. In addition, eGFRCKD-EPI ≤26ml/min/1.73m2, ≤25ml/min/1.73m2, ≤35ml/min/1.73m2 and ≤29ml/min/1.73m2 predicted all-cause death (hazard ratio 2.74 [95% CI 2.10-3.92] cardiovascular death (sub-hazard ratio 2.11 [95% CI 1.42-3.90]), myocardial infarction (2.01 [1.32-3.70]) and heart failure (2.24 [1.41-3.93]), respectively. Analyses corrected by age and left ventricular ejection fraction confirmed these findings. CONCLUSIONS: In our experience, the use of the eGFRCKD-EPI equation led to categorization with a significantly lower number of patients at risk for post-CABG complications. This might have important clinical repercussions on allocation of healthcare resources and more targeted prevention and management of CABG complications.