Abstract

Summary. Background.eGFR (estimated glomerular filtration rate) formulas may be inaccurate in overweight cardiac surgery patients, overestimating the kidney reserve. The aim of this study was to modify the eGFR formulas and to determine whether the modified eGFR is a more accurate predictor of acute kidney injury (AKI).Materials and methodsThe patients were assigned into 4 BMI groups as follows: normal weight (18.5– 25 kg/m2), pre-obesity (25–30 kg/m2), class I obese (30–35 kg/m2), class II and III obese (≥35 kg/m2). Cockcroft– Gault (CG) eGFR formula was modified by using the fat-free mass (FFM) derived from bioelectrical impedance. ROC-AUC curves were analyzed to identify the accuracy of the eGFR formulas (CG, CG modified with FFM, Mayo Clinic Quadratic equation, CKD-EPI, MDRD) to predict the AKI in each group. ResultsAlthough all of the used equations showed similar predictive power in the normal weight and overweight category, Mayo formula had the highest AUC in predicting the occurrence of AKI (ROC-AUC 0.717 and 0.624, p<0.05). However, in the group of patients with class I obesity, only the CG formula modified with a fat-free mass appeared to be predictive of postoperative AKI (ROC-AUC 0.631 p<0.05). None of the equations were accurate in the group of BMI (>35 kg/m2).ConclusionseGFR is a poor predictor of AKI, especially in the obese patients undergoing cardiac surgery. The only equation with a moderate predictive power for the class I obese patients was the CG formula modified with the fat-free mass.

Highlights

  • Acute kidney injury (AKI) is one of the most common complications of cardiac surgery

  • In the group of patients with class I obesity, only the CG formula modified with a fat-free mass appeared to be predictive of postoperative AKI (ROC-AUC 0.631 p

  • Conclusions: estimate the glomerular filtration rate (eGFR) is a poor predictor of AKI, especially in the obese patients undergoing cardiac surgery

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Summary

Introduction

Acute kidney injury (AKI) is one of the most common complications of cardiac surgery. EGFR has been proposed as a more reliable measure than serum creatinine in identifying and assessing the renal function in perioperative period [6,7,8] To this day, there are multiple formulas for calculating eGFR, which include Cockcroft–Gault (CG), Modification of Diet in Renal Disease formula (MDRD), Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation and Mayo Clinic Quadratic equation (Mayo). The older Cockcroft–Gault formula is the only one that includes body weight, nowadays enhanced by indexing it to the patient’s body surface Both the older and the new equations do not provide a satisfactory accuracy in predicting the postoperative kidney function, especially for the obese patients

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