Body composition and survival in dialysis patients: Results from an international cohort study

Clinical Journal of the American Society of Nephrology

Volumn 10, Issue 7, 2015, Pages 1192-1200

  Marcelli, Daniele ^a   Usvyat, Len A ^b   Kotanko, Peter ^c,d   Bayh, Inga ^a   Canaud, Bernard ^a,e   Etter, Michael ^f   Gatti, Emanuele ^a,g   Grassmann, Aileen ^a   Wang, Yuedong ^h   Marelli, Cristina ⁱ   Scatizzi, Laura ^a   Stopper, Andrea ^a   Van Der Sande, Frank M ^j   Kooman, Jeroen ^j  

^a FRESENIUS MEDICAL CARE   (Germany)

^b FRESENIUS MEDICAL CARE NORTH AMERICA   (United States)

^c RENAL RESEARCH INSTITUTE   (United States)

^d MOUNT SINAI HOSPITAL   (United States)

^e UNIV MONTPELLIER   (France)

^f Fresenius Medical Care Asia Pacific   (Hong Kong)

^g DANUBE UNIVERSITY KREMS   (Austria)

^h UNIVERSITY OF CALIFORNIA   (United States)

ⁱ Fresenius Medical Care Argentina   (Argentina)

^j MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

more..

Author keywords

[No Author keywords available]

Indexed keywords

C REACTIVE PROTEIN; CREATININE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; TRIACYLGLYCEROL;

ADIPOSE TISSUE; ADULT; ANTHROPOMETRIC PARAMETERS; ARTICLE; BODY COMPOSITION; BODY MASS; CONTROLLED STUDY; FAT TISSUE INDEX; FEMALE; FOLLOW UP; HEMODIALYSIS; HUMAN; LEAN TISSUE INDEX; MAJOR CLINICAL STUDY; MALE; MORTALITY; OBESITY; OUTCOME ASSESSMENT; RISK ASSESSMENT; SENSITIVITY ANALYSIS; ADVERSE EFFECTS; AGED; CASE CONTROL STUDY; CLINICAL TRIAL; EPIDEMIOLOGY; EUROPE; FACTUAL DATABASE; IMPEDANCE; KAPLAN MEIER METHOD; KIDNEY DISEASES; MIDDLE AGED; MULTICENTER STUDY; MULTIVARIATE ANALYSIS; PATHOPHYSIOLOGY; PREVALENCE; PROPORTIONAL HAZARDS MODEL; RISK FACTOR; SPECTROSCOPY; STATISTICAL MODEL; TIME FACTOR; TREATMENT OUTCOME; VERY ELDERLY;

ADIPOSITY; AGED; AGED, 80 AND OVER; BODY COMPOSITION; BODY MASS INDEX; CASE-CONTROL STUDIES; DATABASES, FACTUAL; ELECTRIC IMPEDANCE; EUROPE; FEMALE; HUMANS; KAPLAN-MEIER ESTIMATE; KIDNEY DISEASES; LOGISTIC MODELS; MALE; MIDDLE AGED; MULTIVARIATE ANALYSIS; PREVALENCE; PROPORTIONAL HAZARDS MODELS; RENAL DIALYSIS; RISK ASSESSMENT; RISK FACTORS; SPECTRUM ANALYSIS; TIME FACTORS; TREATMENT OUTCOME;

EID: 84936856233     PISSN: 15559041     EISSN: 1555905X     Source Type: Journal    
DOI: 10.2215/CJN.08550814     Document Type: Article

References (39)

1. Chazot C, Gassia JP, Di Benedetto A, Cesare S, Ponce P, Marcelli D: Is there any survival advantage of obesity in Southern European haemodialysis patients? NephrolDial Transplant 24: 2871–2876, 2009
2. Chao FC, Efron B, Wolf P: The possible prognostic usefulness of assessing serum proteins and cholesterol in malignancy. Cancer 35: 1223–1229, 1975
3. Yeh S, Wu SY, Levine DM, Parker TS, Olson JS, Stevens MR, Schuster MW: Quality of life and stimulation of weight gain after treatment with megestrol acetate: Correlation between cytokine levels and nutritional status, appetite in geriatric patients with wasting syndrome. J Nutr Health Aging 4: 246–251, 2000
4. Malvy E, Thiébaut R, Marimoutou C, Dabis F; Groupe d’Epidemiologie Clinique du Sida en Aquitaine:Weight loss and body mass index as predictors of HIV disease progression to AIDS in adults. Aquitaine cohort, France, 1985-1997. J Am Coll Nutr 20: 609–615, 2001
5. Kenchaiah S, Pocock SJ, Wang D, Finn PV, Zornoff LA, Skali H, Pfeffer MA, Yusuf S, Swedberg K, Michelson EL, Granger CB, McMurray JJ, Solomon SD; CHARM Investigators: Body mass index and prognosis in patients with chronic heart failure: Insights from the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program. Circulation 116: 627–636, 2007
6. Bouchard C: BMI, fat mass, abdominal adiposity and visceral fat: Where is the ‘beef’? Int J Obes (Lond) 31: 1552–1553, 2007
7. Beddhu S, Pappas LM, Ramkumar N, Samore M: Effects of body size and body composition on survival in hemodialysis patients. J Am Soc Nephrol 14: 2366–2372, 2003
8. Kalantar-Zadeh K, Abbott KC, Salahudeen AK, Kilpatrick RD, Horwich TB: Survival advantages of obesity in dialysis patients. Am J Clin Nutr 81: 543–554, 2005
9. Hakim RM, Lowrie E: Obesity andmortality in ESRD: Is it good to be fat? Kidney Int 55: 1580–1581, 1999
10. Ikizler TA: Resolved: Being fat is good for dialysis patients: The Godzilla effect: Pro. J Am Soc Nephrol 19: 1059–1062, 2008
11. Roubenoff R, Hughes VA: Sarcopenia: Current concepts. J Gerontol A Biol Sci Med Sci 55: M716–M724, 2000
12. Carrero JJ, Chmielewski M, Axelsson J, Snaedal S, Heimbürger O, Bárány P, Suliman ME, Lindholm B, Stenvinkel P, Qureshi AR: Muscle atrophy, inflammation and clinical outcome in incident and prevalent dialysis patients. Clin Nutr 27: 557–564, 2008
13. Kooman JP, Broers NJ, Usvyat L, Thijssen S, van der Sande FM, Cornelis T, Levin NW, Leunissen KM, Kotanko P: Out of control: Accelerated aging in uremia. Nephrol Dial Transplant 28: 48–54, 2013
14. Carrero JJ, Qureshi AR, Nakashima A, Arver S, Parini P, Lindholm B, Bárány P, Heimbü rger O, Stenvinkel P: Prevalence and clinical implications of testosterone deficiency in men with end-stage renal disease. Nephrol Dial Transplant 26: 184–190, 2011
15. Bailey JL, Zheng B, Hu Z, Price SR, Mitch WE: Chronic kidney disease causes defects in signaling through the insulin receptor substrate/phosphatidylinositol 3-kinase/Akt pathway: Implications for muscle atrophy. J Am Soc Nephrol 17: 1388–1394, 2006
16. Johansen KL, Dalrymple LS, Delgado C, Kaysen GA, Kornak J, Grimes B, Chertow GM: Association between body composition and frailty among prevalent hemodialysis patients: A US Renal Data System special study. J Am Soc Nephrol 25: 381–389, 2014
17. Kalantar-Zadeh K, Ikizler TA, Block G, Avram MM, Kopple JD: Malnutrition-inflammation complex syndrome in dialysis patients: Causes and consequences. Am J Kidney Dis 42: 864–881, 2003
18. Qureshi AR, Alvestrand A, Danielsson A, Divino-Filho JC, Gutierrez A, Lindholm B, Bergström J: Factors predicting malnutrition in hemodialysis patients: A cross-sectional study. Kidney Int 53: 773–782, 1998
19. Moreau-Gaudry X, Guebre-Egziabher F, Jean G, Genet L, Lataillade D, Legrand E, Kuentz F, Trolliet P, Fouque D: Serum creatinine improves body mass index survival prediction in hemodialysis patients: A 1-year prospective cohort analysis from the ARNOS study. J Ren Nutr 21: 369–375, 2011
20. Desmeules S, Lévesque R, Jaussent I, Leray-Moragues H, Chalabi L, Canaud B: Creatinine index and lean body mass are excellent predictors of long-term survival in haemodiafiltration patients. Nephrol Dial Transplant 19: 1182–1189, 2004
21. Honda H, Qureshi AR, Axelsson J, Heimburger O, Suliman ME, Barany P, Stenvinkel P, Lindholm B: Obese sarcopenia in patients with end-stage renal disease is associated with inflammation and increased mortality. Am J Clin Nutr 86: 633–638, 2007
22. Usvyat LA, Haviv YS, Etter M, Kooman J, Marcelli D, Marelli C, Power A, Toffelmire T, Wang Y, Kotanko P: The MONitoring Dialysis Outcomes (MONDO) initiative. Blood Purif 35: 37–48, 2013
23. Marcelli D, Kirchgessner J, Amato C, Steil H, Mitteregger A, Moscardè V, Carioni C, Orlandini G, Gatti E: EuCliD (European Clinical Database): A database comparing different realities. J Nephrol 14[Suppl 4]: S94–S100, 2001
24. Chamney PW, Wabel P, Moissl UM, Müller MJ, Bosy-Westphal A, Korth O, Fuller NJ: A whole-body model to distinguish excess fluid fromthe hydration ofmajor body tissues. AmJ Clin Nutr 85: 80–89, 2007
25. Moissl UM, Wabel P, Chamney PW, Bosaeus I, Levin NW, Bosy-Westphal A, Korth O, Mü ller MJ, Ellegård L, Malmros V, Kaitwatcharachai C, Kuhlmann MK, Zhu F, Fuller NJ: Body fluid volume determination via body composition spectroscopy in health and disease. Physiol Meas 27: 921–933, 2006
26. Passauer J, Petrov H, Schleser A, Leicht J, Pucalka K: Evaluation of clinical dry weight assessment in haemodialysis patients using bioimpedance spectroscopy: A cross-sectional study. Nephrol Dial Transplant 25: 545–551, 2010
27. Moissl U, Bosaeus I, Lemmey A, Hovgesen S, Wabel P, Chamney PW, Bosy-Westphal A, Korth O, Mueller M, Renders L, Ellegard L, Malmros V, Fueller N: Validation of a 3Cmodel for determination of body fat mass. J Am Soc Nephrol 18: 257, 2007
28. Moissl U, Wabel P, Chamney PW, Renders L, Bosy-Westphal A, Korth O, Mueller M: Validation of a bioimpedance spectroscopy method for the assessment of fat free mass. NDT Plus 1[Suppl 2]: 215, 2008
29. Broers NJ, Martens RJ, Cornelis T, Diederen NM, Wabel P, van der Sande FM, Leunissen KM, Kooman JP: Body composition in dialysis patients: A functional assessment of bioimpedance using different prediction models. J Ren Nutr 25: 121–128, 2015
30. Wang Y: Smoothing Splines: Methods and Applications, Boca Raton, FL, CRC Press, 2011
31. Gu C: Smoothing Spline ANOVA Models, New York, Springer, 2013
32. Ramos LF, Shintani A, Ikizler TA, Himmelfarb J: Oxidative stress and inflammation are associated with adiposity in moderate to severe CKD. J Am Soc Nephrol 19: 593–599, 2008
33. Stenvinkel P, Lindholm B: Resolved: Being fat is good for dialysis patients: The Godzilla effect: Con. J Am Soc Nephrol 19: 1062–1064, 2008
34. Dittmer ID, Sharp D, McNulty CA, Williams AJ, Banks RA: A prospective study of central venous hemodialysis catheter colonization and peripheral bacteremia. Clin Nephrol 51: 34–39, 1999
35. Jofré R, Rodriguez-Benitez P, López-Gómez JM, Pérez-Garcia R: Inflammatory syndrome in patients on hemodialysis. J AmSoc Nephrol 17[Suppl 3]: S274–S280, 2006
36. Mihaescu A, Avram C, Bob F, Gaita D, Schiller O, Schiller A: Benefits of exercise training during hemodialysis sessions: A prospective cohort study. Nephron Clin Pract 124: 72–78, 2013
37. Kotanko P, Thijssen S, Kitzler T, Wystrychowski G, Sarkar SR, Zhu F, Gotch F, Levin NW: Size matters: Body composition and outcomes in maintenance hemodialysis patients. Blood Purif 25: 27–30, 2007
38. Sridharan S, Vilar E, Berdeprado J, Farrington K: Energy metabolism, body composition, and urea generation rate in hemodialysis patients. Hemodial Int 17: 502–509, 2013
39. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, Boirie Y, Cederholm T, Landi F, Martin FC, Michel JP, Rolland Y, Schneider SM, Topinková E, Vandewoude M, Zamboni M; European Working Group on Sarcopenia in Older People: Sarcopenia: European consensus on definition and diagnosis: Report of the European Working Group on Sarcopenia in Older People. Age Ageing 39: 412–423, 2010