Serum creatinine level, a surrogate of muscle mass, predicts mortality in peritoneal dialysis patients

Nephrology Dialysis Transplantation

Volumn 28, Issue 8, 2013, Pages 2146-2155

  Park, Jongha ^a,b   Mehrotra, Rajnish ^c   Rhee, Connie M ^a,d   Molnar, Miklos Z ^a,e,f   Lukowsky, Lilia R ^a,g   Patel, Sapna S ^a,h   Nissenson, Allen R ⁱ   Kopple, Joel D ^g,h,j   Kovesdy, Csaba P ^k,l   Kalantar Zadeh, Kamyar ^a,g  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b University of Ulsan College of Medicine   (South Korea)

^c UNIVERSITY OF WASHINGTON   (United States)

^d BRIGHAM AND WOMEN S HOSPITAL   (United States)

^e SEMMELWEIS UNIVERSITY   (Hungary)

^f UNIVERSITY HEALTH NETWORK   (Canada)

^g UNIVERSITY OF CALIFORNIA   (United States)

^h HARBOR UCLA MEDICAL CENTER   (United States)

ⁱ DAVITA INC   (United States)

^j UNIVERSITY OF CALIFORNIA   (United States)

^k VETERANS AFFAIRS MEDICAL CENTER   (United States)

^l UNIVERSITY OF TENNESSEE HEALTH SCIENCE CENTER   (United States)

more..

Author keywords

Creatinine; Malnutrition; Mortality; Muscle; Peritoneal Dialysis

Indexed keywords

CREATININE;

ADULT; ARTICLE; CAUSE OF DEATH; CONTROLLED STUDY; CREATININE BLOOD LEVEL; FEMALE; HUMAN; KIDNEY FUNCTION; MAJOR CLINICAL STUDY; MALE; MUSCLE MASS; OUTCOME ASSESSMENT; PERITONEAL DIALYSIS; PRIORITY JOURNAL; PROGNOSIS; RETROSPECTIVE STUDY; RISK FACTOR; SURVIVAL; TREATMENT DURATION; VALIDATION STUDY;

CREATININE; MALNUTRITION; MORTALITY; MUSCLE; PERITONEAL DIALYSIS;

ADULT; BIOLOGICAL MARKERS; CREATININE; FEMALE; FOLLOW-UP STUDIES; HUMANS; MALE; MIDDLE AGED; MUSCLE, SKELETAL; PERITONEAL DIALYSIS; PREDICTIVE VALUE OF TESTS; RETROSPECTIVE STUDIES; RISK FACTORS; SERUM ALBUMIN; SURVIVAL RATE;

EID: 84884565226     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gft213     Document Type: Article

References (50)

1. Flugel-Link RM, Salusky IB, Jones MR et al. Enhanced muscle protein degradation and amino acid release from the hemicorpus of acutely uremic rats. Adv Exp Med Biol 1984; 167: 545-555
2. Andrews R, Greenhaff P, Curtis S et al. The effect of dietary creatine supplementation on skeletal muscle metabolism in congestive heart failure. Eur Heart J 1998; 19: 617-622
3. Keshaviah PR, Nolph KD, Moore HL et al. Lean body mass estimation by creatinine kinetics. J Am Soc Nephrol 1994; 4: 1475-1485
4. Schutte JE, Longhurst JC, Gaffney FA et al. Total plasma creatinine: an accurate measure of total striated muscle mass. J Appl Physiol 1981; 51: 762-766
5. Patel SS, Molnar MZ, Tayek JA et al. Serum creatinine as a marker of muscle mass in chronic kidney disease: results of a cross-sectional study and review of literature. J Cachexia Sarcopenia Muscle 2012; 4: 19-29
6. Fouque D, Kalantar-Zadeh K, Kopple J et al. A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney Int 2008; 73: 391-398
7. Noori N, Kovesdy CP, Bross R et al. Novel equations to estimate lean body mass in maintenance hemodialysis patients. Am J Kidney Dis 2011; 57: 130-139
8. Kaizu Y, Ohkawa S, Kumagai H. Muscle mass index in haemodialysis patients: a comparison of indices obtained by routine clinical examinations. Nephrol Dial Transplant 2002; 17: 442-448
9. Moreau-Gaudry X, Guebre-Egziabher F, Jean G et al. Serum creatinine improves body mass index survival prediction in hemodialysis patients: a 1-year prospective cohort analysis from the ARNOS study. J Ren Nutr 2011; 21: 369-375
10. Walther CP, Carter CW, Low CL et al. Interdialytic creatinine change versus predialysis creatinine as indicators of nutritional status in maintenance hemodialysis. Nephrol Dial Transplant 2012; 27: 771-776
11. Kalantar-Zadeh K, Streja E, Kovesdy CP et al. The obesity paradox and mortality associated with surrogates of body size and muscle mass in patients receiving hemodialysis. Mayo Clin Proc 2010; 85: 991-1001
12. Noori N, Kovesdy CP, Dukkipati R et al. Racial and ethnic differences in mortality of hemodialysis patients: role of dietary and nutritional status and inflammation. Am J Nephrol 2011; 33: 157-167
13. Kalantar-Zadeh K, Streja E, Molnar MZ et al. Mortality prediction by surrogates of body composition: an examination of the obesity paradox in hemodialysis patients using composite ranking score analysis. Am J Epidemiol 2012; 175: 793-803
14. Kalantar-Zadeh K, Norris KC. Is the malnutrition-inflammation complex the secret behind greater survival of African-American dialysis patients? J Am Soc Nephrol 2011; 22: 2150-2152
15. Kovesdy CP, Shinaberger CS, Kalantar-Zadeh K. Epidemiology of dietary nutrient intake in ESRD. Semin Dial 2010; 23: 353-358
16. Kovesdy CP, Kalantar-Zadeh K. Why is protein-energy wasting associated with mortality in chronic kidney disease? Semin Nephrol 2009; 29: 3-14
17. Noori N, Kovesdy CP, Dukkipati R et al. Survival predictability of lean and fat mass in men and women undergoing maintenance hemodialysis. Am J Clin Nutr 2010; 92: 1060-1070
18. Avram MM, Mittman N, Bonomini L et al. Markers for survival in dialysis: a seven-year prospective study. Am J Kidney Dis 1995; 26: 209-219
19. Avram MM, Fein PA, Bonomini L et al. Predictors of survival in continuous ambulatory peritoneal dialysis patients: a five-year prospective study. Perit Dial Int 1996; 16(Suppl 1): S190-S194
20. Jager KJ, Merkus MP, Dekker FW et al. Mortality and technique failure in patients starting chronic peritoneal dialysis: results of the Netherlands Cooperative Study on the Adequacy of Dialysis. NECOSAD Study Group. Kidney Int 1999; 55: 1476-1485
21. Lysaght MJ, Vonesh EF, Gotch F et al. The influence of dialysis treatment modality on the decline of remaining renal function. ASAIO Trans 1991; 37: 598-604
22. Moist LM, Port FK, Orzol SM et al. Predictors of loss of residual renal function among new dialysis patients. J Am Soc Nephrol 2000; 11: 556-564
23. Misra M, Vonesh E, Van Stone JC et al. Effect of cause and time of dropout on the residual GFR: a comparative analysis of the decline of GFR on dialysis. Kidney Int 2001; 59: 754-763
24. Jansen MA, Hart AA, Korevaar JC et al. Predictors of the rate of decline of residual renal function in incident dialysis patients. Kidney Int 2002; 62: 1046-1053
25. Bargman JM, Thorpe KE, Churchill DN. Relative contribution of residual renal function and peritoneal clearance to adequacy of dialysis: a reanalysis of the CANUSA study. J Am Soc Nephrol 2001; 12: 2158-2162
26. Merkus MP, Jager KJ, Dekker FW et al. Predictors of poor outcome in chronic dialysis patients: the Netherlands Cooperative Study on the Adequacy of Dialysis. The NECOSAD Study Group. Am J Kidney Dis 2000; 35: 69-79
27. Szeto CC, Lai KN, Wong TY et al. Independent effects of residual renal function and dialysis adequacy on nutritional status and patient outcome in continuous ambulatory peritoneal dialysis. Am J Kidney Dis 1999; 34: 1056-1064
28. Lameire NH. The impact of residual renal function on the adequacy of peritoneal dialysis. Contrib Nephrol 1998; 124: 76-93; discussion 93. -102
29. Krediet RT, Douma CE, van Olden RW et al. Augmenting solute clearance in peritoneal dialysis. Kidney Int 1998; 54: 2218-2225
30. Levey AS, Bosch JP, Lewis JB et al. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of diet in Renal Disease Study Group. Ann Intern Med 1999; 130: 461-470
31. Levey AS, Coresh J, Greene T et al. Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006; 145: 247-254
32. Sloand JA, Leypoldt JK, Culleton BF et al. Assessing creatinine clearance from modification of diet in renal disease study equations in the ADEMEX cohort: limitations and potential applications. Clin J Am Soc Nephrol 2011; 6: 598-604
33. Kalantar-Zadeh K, Regidor DL, Kovesdy CP et al. Fluid retention is associated with cardiovascular mortality in patients undergoing long-term hemodialysis. Circulation 2009; 119: 671-679
34. Mehrotra R, Duong U, Jiwakanon S et al. Serum albumin as a predictor of mortality in peritoneal dialysis: comparisons with hemodialysis. Am J Kidney Dis 2011; 58: 418-428
35. Lowrie EG, Lew NL. Death risk in hemodialysis patients: the predictive value of commonly measured variables and an evaluation of death rate differences between facilities. Am J Kidney Dis 1990; 15: 458-482
36. Traynor JP, Simpson K, Geddes CC et al. Early initiation of dialysis fails to prolong survival in patients with end-stage renal failure. J Am Soc Nephrol 2002; 13: 2125-2132
37. Stel VS, Dekker FW, Ansell D et al. Residual renal function at the start of dialysis and clinical outcomes. Nephrol Dial Transplant 2009; 24: 3175-3182
38. Lassalle M, Labeeuw M, Frimat L et al. Age and comorbidity may explain the paradoxical association of an early dialysis start with poor survival. Kidney Int 2010; 77: 700-707
39. Grootendorst DC, Michels WM, Richardson JD et al. The MDRD formula does not reflect GFR in ESRD patients. Nephrol Dial Transplant 2011; 26: 1932-1937
40. McCusker FX, Teehan BP, Thorpe KE et al. How much peritoneal dialysis is required for the maintenance of a good nutritional state? Canada-USA (CANUSA) Peritoneal Dialysis Study Group. Kidney Int Suppl 1996; 56: S56-S61
41. Paniagua R, Amato D, Vonesh E et al. Effects of increased peritoneal clearances on mortality rates in peritoneal dialysis: ADEMEX, a prospective, randomized, controlled trial. J Am Soc Nephrol 2002; 13: 1307-1320
42. Lo WK, Ho YW, Li CS et al. Effect of Kt/V on survival and clinical outcome in CAPD patients in a randomized prospective study. Kidney Int 2003; 64: 649-656
43. Badve SV, Hawley CM, McDonald SP et al. Automated and continuous ambulatory peritoneal dialysis have similar outcomes. Kidney Int 2008; 73: 480-488
44. Mehrotra R, Chiu YW, Kalantar-Zadeh K et al. The outcomes of continuous ambulatory and automated peritoneal dialysis are similar. Kidney Int 2009; 76: 97-107
45. Michels WM, Verduijn M, Boeschoten EW et al. Similar survival on automated peritoneal dialysis and continuous ambulatory peritoneal dialysis in a large prospective cohort. Clin J Am Soc Nephrol 2009; 4: 943-949
46. Wang AY, Woo J, Lam CW et al. Is a single time point C-reactive protein predictive of outcome in peritoneal dialysis patients? J Am Soc Nephrol 2003; 14: 1871-1879
47. Ducloux D, Bresson-Vautrin C, Kribs M et al. C-reactive protein and cardiovascular disease in peritoneal dialysis patients. Kidney Int 2002; 62: 1417-1422
48. Bross R, Chandramohan G, Kovesdy CP et al. Comparing body composition assessment tests in long-term hemodialysis patients. Am J Kidney Dis 2010; 55: 885-896
49. Kopple JD, Greene T, Chumlea WC et al. Relationship between nutritional status and the glomerular filtration rate: results from the MDRD study. Kidney Int 2000; 57: 1688-1703
50. Bross R, Noori N, Kovesdy CP et al. Dietary assessment of individuals with chronic kidney disease. Semin Dial 2010; 23: 359-364