Bioelectrical impedance can be used to predict muscle mass and hence improve estimation of glomerular filtration rate in non-diabetic patients with chronic kidney disease

• Published in: Nephrology, dialysis, transplantation Vol. 21; no. 12; pp. 3481 - 3487
• Main Authors: Macdonald, Jamie H., Marcora, Samuele M., Jibani, Mahdi, Roberts, Gareth, Kumwenda, Mick John, Glover, Ruth, Barron, Jeffrey, Lemmey, Andrew Bruce
• Format: Journal Article
• Language: English
• Published: Oxford Oxford University Press 01.12.2006; Oxford Publishing Limited (England)
• Subjects: Aged; Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy; Associated diseases and complications; Bioelectrical impedance; Biological and medical sciences; body composition; Chronic Disease; creatinine; Diabetes. Impaired glucose tolerance; Electric Impedance; Emergency and intensive care: renal failure. Dialysis management; Endocrine pancreas. Apud cells (diseases); Endocrinopathies; Female; Glomerular Filtration Rate; Glomerulonephritis; Humans; Intensive care medicine; Kidney Diseases - physiopathology; Male; Mathematics; MDRD; Medical sciences; muscle mass; Muscle, Skeletal - anatomy & histology; Nephrology. Urinary tract diseases; Nephropathies. Renovascular diseases. Renal failure; Endocrinopathy; Kidney disease; Creatinine; Human; Urinary system disease; Glomerular filtration; Hemodialysis; glomerular filtration rate; Diabetes mellitus; Estimation; Bioelectrical impedance; MDRD; Body composition; muscle mass; Extrarenal dialysis; Renal failure; Impedance
• ISSN: 0931-0509; 1460-2385
• DOI: 10.1093/ndt/gfl432

Background. In this article (the second of two companion studies), we report whether bioelectrical impedance analysis (BIA) can be used to predict muscle mass in patients with chronic kidney disease (CKD), and whether using this predicted muscle mass can improve the estimation of glomerular filtration rate (GFR). Methods. Seventy five non-diabetic patients with CKD (mean age ± SD, 65.1 ± 12.0 years; mean GFR 45.9 ± 28.8 ml/min/1.73 m2) underwent body composition analysis by dual energy X-ray absorptiometry to provide a criterion marker of skeletal muscle mass (appendicular lean mass, ALM). Validity of a published BIA equation to predict ALM was evaluated and a new BIA equation was generated (ALMBIA) and cross-validated by the leave-one-out procedure. Renal inulin clearance provided a criterion measure of GFR (GFRinu). The performance of the equation including ALMBIA to estimate GFRinu was compared with demographic variables as used in the modification of diet in renal disease (MDRD) equation, by determining bias, limits of agreement and accuracy. Results. The previously published BIA equation to predict ALM was not valid in these patients with CKD. In contrast, our new ALMBIA equation cross-validated successfully. Compared with the MDRD demographic variables, using ALMBIA to predict GFRinu improved estimation performance, showing reduced bias (4.3 vs 15.6 ml/min) and improved limits of agreement (41.1 vs 59.2 ml/min) and accuracy (69.7 vs 39.4% of patients’ predicted GFR did not deviate by more than 30% of GFRinu). Conclusions. ALMBIA provides a clinically obtainable and valid method to predict muscle mass in patients with CKD, and using ALMBIA improves the estimation of GFRinu. Researchers developing future GFR estimation equations should consider including ALMBIA.