The most used indicator for the renal function is the glomerular filtration rate (GFR). Current used predictive GFR equations were calibrated on patients with chronic kidney disease. Thus, they are not very precise in healthy individuals. The estimation of skeletal muscle mass (SMM) allows the prediction of the daily urinary creatinine excretion (24hUCrE). This study proposes an equation for the estimation of GFR based on SMM (eGFRMuscle) and serum creatinine (SCr).
Estimation of glomerular filtration rate from skeletal muscle mass. A new equation independent from age, weight, gender, and ethnicity / Iacone, Roberto; Guida, Bruna; Scanzano, Clelia; Iaccarino Idelson, Paola; D'Elia, Lanfranco; Barbato, Antonio; Strazzullo, Pasquale. - In: NMCD. NUTRITION METABOLISM AND CARDIOVASCULAR DISEASES. - ISSN 1590-3729. - 30:12(2020), pp. 2312-2319. [10.1016/j.numecd.2020.07.027]
Estimation of glomerular filtration rate from skeletal muscle mass. A new equation independent from age, weight, gender, and ethnicity
Iacone, Roberto
;Guida, Bruna;Scanzano, Clelia;Iaccarino Idelson, Paola;D'Elia, Lanfranco;Barbato, Antonio;Strazzullo, Pasquale
2020
Abstract
The most used indicator for the renal function is the glomerular filtration rate (GFR). Current used predictive GFR equations were calibrated on patients with chronic kidney disease. Thus, they are not very precise in healthy individuals. The estimation of skeletal muscle mass (SMM) allows the prediction of the daily urinary creatinine excretion (24hUCrE). This study proposes an equation for the estimation of GFR based on SMM (eGFRMuscle) and serum creatinine (SCr).| File | Dimensione | Formato | |
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