Interdialytic creatinine change versus predialysis creatinine as indicators of nutritional status in maintenance hemodialysis

Nephrology Dialysis Transplantation

Volumn 27, Issue 2, 2012, Pages 771-776

  Walther, Carl P ^a   Carter, Caitlin Wise ^a,b,c   Low, Chai L ^b   Williams, Peter ^b   Rifkin, Dena E ^a,b,c   Steiner, Robert W ^a,c   Ix, Joachim H ^a,b,c  

^a UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^b VA SAN DIEGO HEALTHCARE SYSTEM   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALBUMIN; CREATININE; PHOSPHATE;

ADULT; AGE; AGED; ALBUMIN BLOOD LEVEL; ARTICLE; COHORT ANALYSIS; COMPARATIVE STUDY; CONTROLLED STUDY; CREATININE BLOOD LEVEL; CREATININE CLEARANCE; FEMALE; HEMODIALYSIS; HUMAN; MAJOR CLINICAL STUDY; MALE; MORTALITY; MUSCLE MASS; NUTRITIONAL STATUS; OBSERVATIONAL STUDY; OUTCOME ASSESSMENT; PHOSPHATE BLOOD LEVEL; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROTEIN CALORIE MALNUTRITION; PROTEIN METABOLISM; QUALITY OF LIFE; RESIDUAL URINE;

AGED; BIOLOGICAL MARKERS; BODY MASS INDEX; COHORT STUDIES; CREATININE; FEMALE; HOSPITALS, VETERANS; HUMANS; KIDNEY FAILURE, CHRONIC; LINEAR MODELS; MALE; MIDDLE AGED; NUTRITIONAL REQUIREMENTS; NUTRITIONAL STATUS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; PROTEIN-ENERGY MALNUTRITION; RENAL DIALYSIS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX; TIME FACTORS;

EID: 84856924054     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfr389     Document Type: Article

References (26)

1. U.S. Renal Data System, USRDS 2009. Annual Data Report: Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States. Bethesda, MD: NIDDK, National Institutes of Health, 2009
2. Fouque D et al. A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney Int 2008; 73: 391-398
3. Koo JR et al. Association of depression with malnutrition in chronic hemodialysis patients. Am J Kidney Dis 2003; 41: 1037-1042
4. Ibrahim S, El Salamony O. Depression, quality of life and malnutritioninflammation scores in hemodialysis patients. Am J Nephrol 2008; 28: 784-791
5. Rambod M et al. Association of Malnutrition-Inflammation Score with quality of life and mortality in hemodialysis patients: a 5-year prospective cohort study. Am J Kidney Dis 2009; 53: 298-309
6. 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
7. Huang CX et al. Both low muscle mass and low fat are associated with higher all-cause mortality in hemodialysis patients. Kidney Int 2010; 77: 624-629
8. Beddhu S et al. Effects of body size and body composition on survival in hemodialysis patients. J Am Soc Nephrol 2003; 14: 2366-2372
9. Kalantar-Zadeh K et al. Racial and survival paradoxes in chronic kidney disease. Nat Clin Pract Nephrol 2007; 3: 493-506
10. Fouque D et al. EBPG guideline on nutrition. Nephrol Dial Transplant 2007; 22 (Suppl 2): ii45-ii87
11. Friedman AN, Fadem SZ. Reassessment of albumin as a nutritional marker in kidney disease. J Am Soc Nephrol 2010; 21: 223-230
12. Mak RH, Rotwein P. Myostatin and insulin-like growth factors in uremic sarcopenia: the yin and yang in muscle mass regulation. Kidney Int 2006; 70: 410-412
13. Ohkawa S et al. Standardized thigh muscle area measured by computed axial tomography as an alternate muscle mass index for nutritional assessment of hemodialysis patients. Am J Clin Nutr 2000; 71: 485-490
14. Macdonald JH et al. The relationship between estimated glomerular filtration rate, demographic and anthropometric variables is mediated by muscle mass in non-diabetic patients with chronic kidney disease. Nephrol Dial Transplant 2006; 21: 3488-3494
15. Noori N et al. Novel equations to estimate lean body mass in maintenance hemodialysis patients. Am J Kidney Dis 2011; 57: 130-139
16. Burrowes JD et al. Cross-sectional relationship between dietary protein and energy intake, nutritional status, functional status, and comorbidity in older versus younger hemodialysis patients. J Ren Nutr 2002; 12: 87-95
17. Dwyer JT et al. Are nutritional status indicators associated with mortality in the Hemodialysis (HEMO) Study? Kidney Int 2005; 68: 1766-1776
18. Kalantar-Zadeh K et al. Survival advantages of obesity in dialysis patients. Am J Clin Nutr 2005; 81: 543-554
19. Shinzato T et al. New method to calculate creatinine generation rate using pre-and postdialysis creatinine concentrations. Artif Organs 1997; 21: 864-872
20. Jindal KK, Goldstein MB. Urea kinetic modeling in chronic hemodialysis: benefits, problems, and practical solutions. Semin Dial 1988; 1: 82-85
21. Daugirdas JT. Linear estimates of variable-volume, single-pool Kt/V: an analysis of error. Am J Kidney Dis 1993; 22: 267-270
22. Beddhu S et al. Creatinine production, nutrition, and glomerular filtration rate estimation. J Am Soc Nephrol 2003; 14: 1000-1005
23. Moreau-Gaudry X 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; in Press
24. Streja E et al. Associations of pretransplant weight and muscle mass with mortality in renal transplant recipients. Clin J Am Soc Nephrol 2011; 6: 1463-1473
25. Kalantar-Zadeh K 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
26. Descombes E, Perriard F, Fellay G. Diffusion kinetics of urea, creatinine and uric acid in blood during hemodialysis. Clinical implications. Clin Nephrol 1993; 40: 286-295