Greater variability in kidney function is associated with an increased risk of death

Kidney International

Volumn 82, Issue 11, 2012, Pages 1208-1214

  Al Aly, Ziyad ^a,b   Balasubramanian, Sumitra ^b   McDonald, Jay R ^b,c   Scherrer, Jeffrey F ^b,c   O'Hare, Ann M ^d,e  

^a VETERANS AFFAIRS MEDICAL CENTER   (United States)

^b Saint Louis Veterans Affairs Clinical Research and Epidemiology Center   (United States)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

^e UNIVERSITY OF WASHINGTON   (United States)

Author keywords

acute kidney injury; chronic kidney disease; eGFR slope; longitudinal data; mortality risk; variability

Indexed keywords

ACUTE KIDNEY FAILURE; AGED; ARTICLE; CARDIOVASCULAR DISEASE; CHRONIC LUNG DISEASE; COHORT ANALYSIS; DEMENTIA; DIABETES MELLITUS; FEMALE; FOLLOW UP; GLOMERULUS FILTRATION RATE; HAZARD RATIO; HEPATITIS C; HOSPITALIZATION; HUMAN; HYPERTENSION; KIDNEY FUNCTION; MALE; MORTALITY; PERIPHERAL VASCULAR DISEASE; PRIORITY JOURNAL; PROGNOSIS; SURVIVAL RATE; UNITED STATES; VETERAN;

EID: 84869223202     PISSN: 00852538     EISSN: 15231755     Source Type: Journal    
DOI: 10.1038/ki.2012.276     Document Type: Article

References (55)

1. Yang W, Israni RK, Brunelli SM et al. Hemoglobin variability and mortality in ESRD. J Am Soc Nephrol 2007; 18: 3164-3170. (Pubitemid 350223976)
2. Arneson TJ, Zaun D, Peng Y et al. Comparison of methodologies to characterize haemoglobin variability in the US Medicare haemodialysis population. Nephrol Dial Transplant 2009; 24: 1378-1383.
3. Brownlee M, Hirsch IB. Glycemic variability: a hemoglobin A1c-independent risk factor for diabetic complications. JAMA 2006; 295: 1707-1708.
4. Lissner L, Odell PM, D'Agostino RB et al. Variability of body weight and health outcomes in the Framingham population. N Engl J Med 1991; 324: 1839-1844.
5. Jouven X, Empana JP, Schwartz PJ et al. Heart-rate profile during exercise as a predictor of sudden death. N Engl J Med 2005; 352: 1951-1958. (Pubitemid 40638365)
6. Kalantar-Zadeh K, Aronoff GR. Hemoglobin variability in anemia of chronic kidney disease. J Am Soc Nephrol 2009; 20: 479-487.
7. Eckardt KU, Kim J, Kronenberg F et al. Hemoglobin variability does not predict mortality in European hemodialysis patients. J Am Soc Nephrol 2010; 21: 1765-1775.
8. Gilbertson DT, Peng Y, Bradbury B et al. Hemoglobin level variability: anemia management among variability groups. Am J Nephrol 2009; 30: 491-498.
9. Brimble KS, Clase CM. Hemoglobin variability in dialysis patients. J Am Soc Nephrol 2007; 18: 2218-2220. (Pubitemid 47203834)
10. Tonelli M, Wiebe N, Culleton B et al. Chronic kidney disease and mortality risk: a systematic review. J Am Soc Nephrol 2006; 17: 2034-2047. (Pubitemid 44036188)
11. Rifkin DE, Shlipak MG, Katz R et al. Rapid kidney function decline and mortality risk in older adults. Arch Intern Med 2008; 168: 2212-2218.
12. Shlipak MG, Katz R, Kestenbaum B et al. Rapid decline of kidney function increases cardiovascular risk in the elderly. J Am Soc Nephrol 2009; 20: 2625-2630.
13. Matsushita K, Selvin E, Bash LD et al. Change in estimated GFR associates with coronary heart disease and mortality. J Am Soc Nephrol 2009; 20: 2617-2624.
14. Al-Aly Z, Zeringue A, Fu J et al. Rate of kidney function decline associates with mortality. J Am Soc Nephrol 2010; 21: 1961-1969.
15. Perkins RM, Bucaloiu ID, Kirchner HL et al. GFR decline and mortality risk among patients with chronic kidney disease. Clin J Am Soc Nephrol 2011; 6: 1879-1886.
16. Al-Aly Z, Cepeda O. Rate of change in kidney function and the risk of death: the case for incorporating the rate of kidney function decline into the CKD staging system. Nephron Clin Pract 2011; 119: c179-c186.
17. Cowper DC, Hynes DM, Kubal JD et al. Using administrative databases for outcomes research: select examples from VA Health Services Research and Development. J Med Syst 1999; 23: 249-259. (Pubitemid 29517901)
18. Murphy PA, Cowper DC, Seppala G et al. Veterans health administration inpatient and outpatient care data: an overview. Eff Clin Pract 2002; 5: E4.
19. Oddone EZ, Eisen S. Veterans affairs research and development: using science to improve health care for veterans. N C Med J 2008; 69: 35-37.
20. Al-Aly Z, Pan H, Zeringue A et al. Tumor necrosis factor-alpha blockade, cardiovascular outcomes, and survival in rheumatoid arthritis. Transl Res 2011; 157: 10-18.
21. VIReC Research User Guide: VHA Medical SASs Inpatient Datasets FY2006. US Department of Veterans Affairs. VA Information Resource Center: Hines, IL, September 2007.
22. VIReC Research User Guide: VHA Medical SASs Outpatient Datasets FY2006. US Department of Veterans Affairs. VA Information Resource Center: Hines, IL, September 2007.
23. VIReC Research User Guide: Veterans Health Administration Decision Support System Clinical National Data Extracts, 2nd edn. US Department of Veterans Affairs. VA Information Resource Center: Hines, IL, September 2009.
24. VIReC Research User Guide: Veterans Health Administration Pharmacy Prescription Data, 2nd edn. US Department of Veterans Affairs. VA Information Resource Center: Hines, IL, September 2008.
25. Levey AS, Stevens LA, Schmid CH et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604-612.
26. Xie D, Joffe MM, Brunelli SM et al. A comparison of change in measured and estimated glomerular filtration rate in patients with nondiabetic kidney disease. Clin J Am Soc Nephrol 2008; 3: 1332-1338.
27. Lafrance JP, Miller DR. Acute kidney injury associates with increased longterm mortality. J Am Soc Nephrol 2010; 21: 345-352.
28. Elixhauser A, Steiner C, Harris DR et al. Comorbidity measures for use with administrative data. Med Care 1998; 36: 8-27. (Pubitemid 128456396)
29. Go AS, Chertow GM, Fan D et al. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 2004; 351: 1296-1305.
30. Solberg LI, Engebretson KI, Sperl-Hillen JM et al. Are claims data accurate enough to identify patients for performance measures or quality improvement? The case of diabetes, heart disease, and depression. Am J Med Qual 2006; 21: 238-245. (Pubitemid 44035782)
31. Johnson ES, Thorp ML, Platt RW et al. Predicting the risk of dialysis and transplant among patients with CKD: a retrospective cohort study. Am J Kidney Dis 2008; 52: 653-660.
32. Selby JV, Ray GT, Zhang D et al. Excess costs of medical care for patients with diabetes in a managed care population. Diabetes Care 1997; 20: 1396-1402. (Pubitemid 27366814)
33. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). JAMA 2001; 285: 2486-2497.
34. Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation 2002; 106: 3143-3421.
35. O'Hare AM, Choi AI, Bertenthal D et al. Age affects outcomes in chronic kidney disease. J Am Soc Nephrol 2007; 18: 2758-2765. (Pubitemid 47531203)
36. Kramer JR, Davila JA, Miller ED et al. The validity of viral hepatitis and chronic liver disease diagnoses in Veterans Affairs administrative databases. Aliment Pharmacol Ther 2008; 27: 274-282.
37. Fultz SL, Skanderson M, Mole LA et al. Development and verification of a 'virtual' cohort using the National VA Health Information System. Med Care 2006; 44: S25-S30. (Pubitemid 44284254)
38. Fireman BH, Fehrenbacher L, Gruskin EP et al. Cost of care for patients in cancer clinical trials. J Natl Cancer Inst 2000; 92: 136-142. (Pubitemid 30089870)
39. O'Hare AM, Bertenthal D, Covinsky KE et al. Mortality risk stratification in chronic kidney disease: one size for all ages? J Am Soc Nephrol 2006; 17: 846-853.
40. Tseng CL, Kern EF, Miller DR et al. Survival benefit of nephrologic care in patients with diabetes mellitus and chronic kidney disease. Arch Intern Med 2008; 168: 55-62.
41. O'Hare AM, Bertenthal D, Shlipak MG et al. Impact of renal insufficiency on mortality in advanced lower extremity peripheral arterial disease. J Am Soc Nephrol 2005; 16: 514-519. (Pubitemid 41725149)
42. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002; 39: S1-S266.
43. Ritz E. Consequences of late referral in diabetic renal disease. Acta Diabetol 2002; 39(Suppl 1): S3-S8. (Pubitemid 34533196)
44. Goransson LG, Bergrem H. Consequences of late referral of patients with end-stage renal disease. J Intern Med 2001; 250: 154-159. (Pubitemid 32868695)
45. Levin A. Consequences of late referral on patient outcomes. Nephrol Dial Transplant 2000; 15(Suppl 3): 8-13.
46. Arora P, Obrador GT, Ruthazer R et al. Prevalence, predictors, and consequences of late nephrology referral at a tertiary care center. J Am Soc Nephrol 1999; 10: 1281-1286. (Pubitemid 29246993)
47. Kinchen KS, Sadler J, Fink N et al. The timing of specialist evaluation in chronic kidney disease and mortality. Ann Intern Med 2002; 137: 479-486. (Pubitemid 35024618)
48. Agrawal V, Ghosh AK, Barnes MA et al. Perception of indications for nephrology referral among internal medicine residents: a national online survey. Clin J Am Soc Nephrol 2009; 4: 323-328.
49. Agrawal V, Ghosh AK, Barnes MA et al. Perception of indications for nephrology referral among internal medicine residents: a national online survey. Clin J Am Soc Nephrol 2009; 4: 323-328.
50. McClellan WM, Wasse H, McClellan AC et al. Treatment center and geographic variability in pre-ESRD care associate with increased mortality. J Am Soc Nephrol 2009; 20: 1078-1085.
51. Navaneethan SD, Aloudat S, Singh S. A systematic review of patient and health system characteristics associated with late referral in chronic kidney disease. BMC Nephrol 2008; 9: 3.
52. O'Hare AM, Batten A, Burrows NR et al. Trajectories of kidney function decline in the 2 years before initiation of long-term dialysis. Am J Kidney Dis 2012; 59: 513-522.
53. Stevens LA, Coresh J, Greene T et al. Assessing kidney function-measured and estimated glomerular filtration rate. N Engl J Med 2006; 354: 2473-2483. (Pubitemid 43855050)
54. 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. (Pubitemid 46768608)
55. 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. (Pubitemid 29135798)