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Investigation of skeletal muscle quantity and quality in end‐stage renal disease
Authors:BIRINDER CHEEMA  HAIFA ABAS  BENJAMIN SMITH  ANTHONY J O'SULLIVAN  MARIA CHAN  ADITI PATWARDHAN  JOHN KELLY  ADRIAN GILLIN  GLEN PANG  BRAD LLOYD  KLAUS BERGER  BERNHARD T BAUNE  MARIA FIATARONE SINGH
Institution:1. Exercise, Health and Performance Research Group and;2. School of Biomedical and Health Sciences, University of Western Sydney,;3. Department of Medicine, University of New South Wales,;4. Department of Nutrition and Dietetics and;5. Department of Renal Medicine, St. George Hospital,;6. Department of Renal Medicine, Royal Prince Alfred Hospital, Sydney, New South Wales,;7. Institute of Epidemiology and Social Medicine, University of Muenster, Muenster, Germany;8. and;9. School of Medicine and Dentistry, James Cook University, Douglas, Queensland, Australia;10. Sydney Medical School, University of Sydney,;11. Hebrew SeniorLife and Jean Mayer USDA Human Nutrition Center on Aging at Tufts University, Boston, Massachusetts, USA
Abstract:Aim: A more precise understanding of the aetiology and sequelae of muscle wasting in end‐stage renal disease (ESRD) is required for the development of effective interventions to target this pathology. Methods: We investigated 49 patients with ESRD (62.6 ± 14.2 years, 0.3–16.7 years on haemodialysis). Thigh muscle cross‐sectional area (CSA), intramuscular lipid and intermuscular adipose tissue (IMAT) were measured via computed tomography as indices of muscle quantity (i.e. CSA) and quality (i.e. intramuscular lipid and IMAT). Additional health and clinical measures were investigated to determine associations with these variables. Results: Age, energy intake, disease burden, pro‐inflammatory cytokines, nutritional status, strength and functioning were related to muscle quantity and quality. Potential aetiological factors entered into forward stepwise regression models indicated that hypoalbuminaemia and lower body mass index accounted significantly and independently for 32% of the variance in muscle CSA (r = 0.56, P < 0.001), while older age and interleukin‐8 accounted for 41% of the variance in intramuscular lipid (r = 0.64, P < 0.001) and body mass index accounted for 45% of the variance in IMAT (r = 0.67, P < 0.001). Stepwise regression models revealed that intramuscular lipid was independently predictive of habitual gait velocity and 6 min walk distance, while CSA was independently predictive of maximal isometric strength (P < 0.05). Conclusion: Ageing, poor nutritional status and elevated interleukin‐8 are factors potentially contributing to the loss of muscle quality and quantity in ESRD. These deficits can predict functional impairments, with intramuscular lipid accumulation most closely related to decline of submaximal musculoskeletal performance (walking), and low muscle CSA most closely related to decline of maximal performance (peak isometric strength).
Keywords:attenuation  cytokines  diabetes  insulin resistance  obesity  quality of life
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