Estimation of glomerular filtration rate from skeletal muscle mass. A new equation independent from age, weight, gender, and ethnicity

Autor: Bruna Guida, C. Scanzano, Roberto Iacone, Lanfranco D'Elia, Antonio Barbato, Pasquale Strazzullo, Paola Iaccarino Idelson
Přispěvatelé: Iacone, Roberto, Guida, Bruna, Scanzano, Clelia, Iaccarino Idelson, Paola, D'Elia, Lanfranco, Barbato, Antonio, Strazzullo, Pasquale
Rok vydání: 2020
Předmět:
MDRD Study equation
Male
Time Factors
Skeletal muscle ma
Endocrinology
Diabetes and Metabolism
Medicine (miscellaneous)
Predictive Value of Test
030204 cardiovascular system & hematology
Kidney
urologic and male genital diseases
chemistry.chemical_compound
0302 clinical medicine
Electric Impedance
Medicine
24h urinary creatinine excretion
Cockcroft–Gault equation
Aged
80 and over
Nutrition and Dietetics
Organ Size
Middle Aged
Healthy Volunteer
Healthy Volunteers
Creatinine
Body Composition
Cardiology and Cardiovascular Medicine
Bioelectrical impedance analysis
Human
Glomerular Filtration Rate
Adult
medicine.medical_specialty
Time Factor
Urinary system
Urology
CKD-EPI equation
Reproducibility of Result
Renal function
030209 endocrinology & metabolism
Models
Biological
GFR
High weight
03 medical and health sciences
Predictive Value of Tests
Linear regression
Humans
Muscle
Skeletal
Aged
business.industry
Reproducibility of Results
Biomarker
medicine.disease
Skeletal muscle mass
chemistry
business
Biomarkers
Kidney disease
Zdroj: Nutrition, Metabolism and Cardiovascular Diseases. 30:2312-2319
ISSN: 0939-4753
DOI: 10.1016/j.numecd.2020.07.027
Popis: Background and aims 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). Methods and results Four hundred sixty-six free-living men underwent a bioelectrical impedance analysis for the evaluation of SMM (kg), a blood withdrawal for the measurement of SCr (mg/dL), and a 24-h urinary collection for the assessment of 24hUCrE (g/24 h). The linear regression analysis between SMM and 24hUCrE and the measurement of SCr allowed developing a predictive equation of eGFRMuscle. The equation predicting eGFRMuscle (ml/min/1.73 m2) was SMM (kg) × 3.06/SCr (mg/dL). eGFRMuscle was statistically different from eGFR predicted by Cockroft–Gault, MDRD Study, and CKD-EPI equations (p = 0.017, p Conclusions The equation presented in this study results in age, weight, gender, and ethnicity independent because it arises directly from SMM estimation. Therefore, the proposed equation could allow evaluating the GFR also in healthy people with low, average, or high weight, and in older people, regardless of GFR and SCr levels.
Databáze: OpenAIRE
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