Both low muscle mass and low fat are associated with higher all-cause mortality in hemodialysis patients

Kidney International

Volumn 77, Issue 7, 2010, Pages 624-629

  Huang, Cindy X ^a   Tighiouart, Hocine ^a   Beddhu, Srinivasan ^b   Cheung, Alfred K ^b   Dwyer, Johanna T ^a   Eknoyan, Garabed ^c   Beck, Gerald J ^d   Levey, Andrew S ^a   Sarnak, Mark J ^a  

^a TUFTS MEDICAL CENTER   (United States)

^b UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^c BAYLOR COLLEGE OF MEDICINE   (United States)

^d LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Body mass index; Dialysis; Mortality; Obesity

Indexed keywords

ADIPOSE TISSUE; ADULT; ANTHROPOMETRY; ARM MUSCLE; ARTICLE; BODY COMPOSITION; BODY MASS; CLINICAL ASSESSMENT; CONGESTIVE HEART FAILURE; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; DIABETES MELLITUS; FEMALE; FOLLOW UP; GLOMERULOPATHY; HEMODIALYSIS PATIENT; HUMAN; HYPERTENSION; ISCHEMIC HEART DISEASE; KIDNEY DISEASE; MAJOR CLINICAL STUDY; MALE; MORTALITY; MUSCLE MASS; PRIORITY JOURNAL; SKINFOLD THICKNESS;

ADIPOSITY; ADULT; AGED; BODY MASS INDEX; FEMALE; HUMANS; KIDNEY FAILURE, CHRONIC; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; MUSCLES; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RENAL DIALYSIS; SENSITIVITY AND SPECIFICITY; UNITED STATES;

EID: 77949542560     PISSN: 00852538     EISSN: 15231755     Source Type: Journal    
DOI: 10.1038/ki.2009.524     Document Type: Article

References (41)

1. Calle EE, Thun MJ, Petrelli JM et al. Body-mass index and mortality in a prospective cohort of US adults. N Engl J Med 1999; 341: 1097-1105.
2. Abbott KC, Glanton CW, Trespalacios FC et al. Body mass index, dialysis modality, and survival: analysis of the United States Renal Data System Dialysis Morbidity and Mortality Wave II Study. Kidney Int 2004; 65: 597-605.
3. Johansen KL, Young B, Kaysen GA et al. Association of body size with outcomes among patients beginning dialysis. Am J Clin Nutr 2004; 80: 324-332.
4. Kalantar-Zadeh K, Abbott KC, Salahudeen AK et al. Survival advantages of obesity in dialysis patients. Am J Clin Nutr 2005; 81: 543-554.
5. Kopple JD, Zhu X, Lew NL et al. Body weight-for-height relationships predict mortality in maintenance hemodialysis patients. Kidney Int 1999; 56: 1136-1148.
6. Leavey SF, McCullough K, Hecking E et al. Body mass index and mortality in 'healthier' as compared with 'sicker' haemodialysis patients: results from the Dialysis Outcomes and Practice Patterns Study (DOPPS). Nephrol Dial Transplant 2001; 16: 2386-2394.
7. Hotamisligil GS, Shargill NS, Spiegelman BM. Adipose expression of tumor necrosis factor-alpha: direct role in obesity-linked insulin resistance. Science 1993; 259: 87-91.
8. Axelsson J, Rashid Qureshi A, Suliman ME et al. Truncal fat mass as a contributor to inflammation in end-stage renal disease. Am J Clin Nutr 2004; 80: 1222-1229.
9. Kalantar-Zadeh K, Kuwae N, Wu DY et al. Associations of body fat and its changes over time with quality of life and prospective mortality in hemodialysis patients. Am J Clin Nutr 2006; 83: 202-210.
10. Ikizler TA, Wingard RL, Harvell J et al. Association of morbidity with markers of nutrition and inflammation in chronic hemodialysis patients: a prospective study. Kidney Int 1999; 55: 1945-1951.
11. Moreau-Gaudry X, Jean G, Berrerd-Genet L et al. Are all body mass indexes (BMI) equally protective in maintenance haemodialysis. J Am Soc Nephrol 2007; 18: 725A.
12. Beddhu S, Pappas LM, Ramkumar N et al. Effects of body size and body composition on survival in hemodialysis patients. J Am Soc Nephrol 2003; 14: 2366-2372.
13. Honda H, Qureshi AR, Axelsson J et al. Obese sarcopenia in patients with end-stage renal disease is associated with inflammation and increased mortality. Am J Clin Nutr 2007; 86: 633-638.
14. Gotch FA. Kt/V is the best dialysis dose parameter. Blood Purif 2000; 18: 276-285.
15. Ronti T, Lupattelli G, Mannarino E. The endocrine function of adipose tissue: an update. Clin Endocrinol (Oxford) 2006; 64: 355-365.
16. Kakiya R, Shoji T, Tsujimoto Y et al. Body fat mass and lean mass as predictors of survival in hemodialysis patients. Kidney Int 2006; 70: 549-556.
17. Kalantar-Zadeh K, Brennan ML, Hazen SL. Serum myeloperoxidase and mortality in maintenance hemodialysis patients. Am J Kidney Dis 2006; 48: 59-68.
18. Kalantar-Zadeh K, Kopple JD, Kamranpour N et al. HDL-inflammatory index correlates with poor outcome in hemodialysis patients. Kidney Int 2007; 72: 1149-1156.
19. Beddhu S, Cheung AK, Larive B et al. Inflammation and inverse associations of body mass index and serum creatinine with mortality in hemodialysis patients. J Ren Nutr 2007; 17: 372-380.
20. Srinivas TR, Meier-Kriesche HU. Obesity and kidney transplantation. Contrib Nephrol 2006; 151: 19-41.
21. Avesani CM, Draibe SA, Kamimura MA et al. Assessment of body composition by dual energy X-ray absorptiometry, skinfold thickness and creatinine kinetics in chronic kidney disease patients. Nephrol Dial Transplant 2004; 19: 2289-2295.
22. Kamimura MA, Avesani CM, Cendoroglo M et al. Comparison of skinfold thicknesses and bioelectrical impedance analysis with dual-energy X-ray absorptiometry for the assessment of body fat in patients on long-term haemodialysis therapy. Nephrol Dial Transplant 2003; 18: 101-105.
23. Kamimura MA, Jose Dos Santos NS, Avesani CM et al. Comparison of three methods for the determination of body fat in patients on long-term hemodialysis therapy. J Am Diet Assoc 2003; 103: 195-199.
24. Stenver DI, Gotfredsen A, Hilsted J et al. Body composition in hemodialysis patients measured by dual-energy X-ray absorptiometry. Am J Nephrol 1995; 15: 105-110.
25. Leavey SF, Strawderman RL, Jones CA et al. Simple nutritional indicators as independent predictors of mortality in hemodialysis patients. Am J Kidney Dis 1998; 31: 997-1006.
26. Bays H, Blonde L, Rosenson R. Adiposopathy: how do diet, exercise and weight loss drug therapies improve metabolic disease in overweight patients? Expert Rev Cardiovasc Ther 2006; 4: 871-895.
27. Elsayed EF, Tighiouart H, Weiner DE et al. Waist-to-hip ratio and body mass index as risk factors for cardiovascular events in CKD. Am J Kidney Dis 2008; 52: 49-57.
28. Postorino M, Marino C, Tripepi G et al. Abdominal obesity and all-cause and cardiovascular mortality in end-stage renal disease. J Am Coll Cardiol 2009; 53: 1265-1272.
29. Chen H, Liu Z, Li S et al. The relationship between body fat distribution and renal damage in Chinese with obesity. Exp Clin Endocrinol Diabetes 2008; 116: 99-103.
30. Pinto-Sietsma SJ, Navis G, Janssen WM et al. A central body fat distribution is related to renal function impairment, even in lean subjects. Am J Kidney Dis 2003; 41: 733-741.
31. Siri W. Body composition from fluid spaces and density: analysis of methods. In: Sciences NAO (eds). Techniques for Measuring Body Composition. National Research Council: Washington, DC, 1961, pp 223-244.
32. Durnin JV, Womersley J. Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr 1974; 32: 77-97.
33. Greene T, Beck GJ, Gassman JJ et al. Design and statistical issues of the hemodialysis (HEMO) study. Control Clin Trials 2000; 21: 502-525.0.
34. Lohman T, Martorell R, Roche AF. Anthropometric Standardization Reference Manual. Human Kinetics: Champaign, IL, 1988.
35. US Department of Health and Human Services INI. Anthropometric procedure video, 1996.
36. Gibson RS. Nutritional Assessment. A Laboratory Manual. Oxford University Press: New York, 1993.
37. Cheung AK, Sarnak MJ, Yan G et al. Cardiac diseases in maintenance hemodialysis patients: results of the HEMO Study. Kidney Int 2004; 65: 2380-2389.
38. Cheung AK, Sarnak MJ, Yan G et al. Atherosclerotic cardiovascular disease risks in chronic hemodialysis patients. Kidney Int 2000; 58: 353-362.
39. Greenfield S, Apolone G, McNeil BJ et al. The importance of co-existent disease in the occurrence of postoperative complications and one-year recovery in patients undergoing total hip replacement. Comorbidity and outcomes after hip replacement. Med Care 1993; 31: 141-154.
40. Harrell FE. Design: S functions for biostatistical/epidemiologic modeling, testing, estimation, validation, graphics, and prediction, 2003.
41. Team. RDC: R: a Language and Environment for Statistical Computing. in R Foundation for Statistical Computing: Vienna, Austria, 2005.