Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease

BMC Nephrology

Sijia Yu¹  Hyunmoon Back¹  Leonid Kagan²  Luigi Brunetti³  Urma Jalil⁴ 

[1] Department of Pharmaceutics; Ernest Mario School of Pharmacy; Rutgers, The State University of New Jersey, Piscataway, NJ, USA;Department of Pharmaceutics; Ernest Mario School of Pharmacy; Rutgers, The State University of New Jersey, Piscataway, NJ, USA;Center of Excellence in Pharmaceutical Translational Research and Education; Ernest Mario School of Pharmacy; Rutgers, The State University of New Jersey, Piscataway, NJ, USA;Department of Pharmacy Practice; Ernest Mario School of Pharmacy; Rutgers, The State University of New Jersey, Piscataway, NJ, USA;Department of Pharmaceutics; Ernest Mario School of Pharmacy; Rutgers, The State University of New Jersey, Piscataway, NJ, USA;Center of Excellence in Pharmaceutical Translational Research and Education; Ernest Mario School of Pharmacy; Rutgers, The State University of New Jersey, Piscataway, NJ, USA;Lake Erie College of Osteopathic Medicine, Erie, PA, USA;

关键词: Cockcroft-Gault;    Renal function;    Metabolic disease;    Serum creatinine;    Glomerular filtration rate;   

DOI  :  10.1186/s12882-021-02588-4

来源: Springer

【 摘 要 】

BackgroundThe primary objective of this study aims to test patient factors, with a focus on cardiometabolic disease, influencing the performance of the Cockcroft-Gault equation in estimating glomerular filtration rate.MethodsA cohort study was performed using data from adult patients with both a 24-h urine creatinine collection and a serum creatinine available. Creatinine clearance was calculated for each patient using the Cockcroft-Gault, Modified Diet in Renal Disease, and Chronic Kidney Disease Epidemiology Collaboration equations and estimates were compared to the measured 24-h urine creatinine clearance. In addition, new prediction equations were developed.ResultsIn the overall study population (n = 484), 44.2% of patients were obese, 44.0% had diabetes, and 30.8% had dyslipidemia. A multivariable model which incorporating patient characteristics performed the best in terms of correlation to measured 24-h urine creatinine clearance, accuracy, and error. The modified Cockcroft-Gault equation using lean body weight performed best in the overall population, the obese subgroup, and the dyslipidemia subgroup in terms of strength of correlation, mean bias, and accuracy.ConclusionsRegardless of strategy used to calculate creatinine clearance, residual error was present suggesting novel methods for estimating glomerular filtration rate are urgently needed.

【 授权许可】

CC BY