Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease.
Evaluation and enhancement of standard equations for renal function estimation in individuals with components of metabolic disease.
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DOI：
10.1186/s12882-021-02588-4
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发表时间：
2021-11-22
期刊：
影响因子：
2.3
通讯作者：
Kagan L
中科院分区：
文献类型：
--
作者：
Brunetti L;Back H;Yu S;Jalil U;Kagan L
The 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. A 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. In 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. Regardless of strategy used to calculate creatinine clearance, residual error was present suggesting novel methods for estimating glomerular filtration rate are urgently needed.
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影响因子：
3.3
作者：
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DOI：
10.2215/cjn.11721018
发表时间：
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通讯作者：
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