Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. A collaborative meta-analysis of general and high-risk population cohorts

Kidney International

Volumn 80, Issue 1, 2011, Pages 93-104

  Gansevoort, Ron T ^a   Matsushita, Kunihiro ^b   Van Der Velde, Marije ^a   Astor, Brad C ^b   Woodward, Mark ^c   Levey, Andrew S ^d   Jong, Paul E De ^a   Coresh, Josef ^b  

^a UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF SYDNEY   (Australia)

^d TUFTS MEDICAL CENTER   (United States)

Author keywords

acute kidney injury; albumin to creatinine ratio (albuminuria); dipstick (proteinuria); eGFR (kidney function); ESRD (end stage renal disease); meta analysis

Indexed keywords

ADULT; AGED; ALBUMINURIA; ARTICLE; CARDIOVASCULAR RISK; CHRONIC KIDNEY DISEASE; COHORT ANALYSIS; CONTROLLED STUDY; DISEASE ASSOCIATION; DISEASE SEVERITY; FEMALE; GLOMERULUS FILTRATION RATE; HIGH RISK POPULATION; HUMAN; INCIDENCE; KIDNEY FAILURE; MAJOR CLINICAL STUDY; MALE; META ANALYSIS (TOPIC); MICROALBUMINURIA; OUTCOME ASSESSMENT; PRIORITY JOURNAL; SEX DIFFERENCE;

EID: 79958817916     PISSN: 00852538     EISSN: 15231755     Source Type: Journal    
DOI: 10.1038/ki.2010.531     Document Type: Article

References (50)

1. Eckardt KU, Berns JS, Rocco MV et al. Definition and classification of CKD: the debate should be about patient prognosis - A position statement from KDOQI and KDIGO. Am J Kidney Dis 2009; 53: 915-920.
2. Levey AS, de Jong PE, Coresh J et al. Chronic kidney disease-definition, classification and prognosis: a KDIGO controversies conference reaches a consensus. Kidney Int 2010; 375: 2073-2081.
3. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002; 39: S1-266.
4. Levey AS, Coresh J, Balk E et al. NKF practice guidelines for CKD: evaluation, classification and stratification. Arch Int Med 2003; 139: 137-147.
5. Levey AS, Eckardt KU, Tsukamoto Y et al. Definition and classification of chronic kidney disease: a position statement from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 2005; 67: 2089-2100. (Pubitemid 41623371)
6. Levey AS, Atkins R, Coresh J et al. Chronic kidney disease as a global public health problem: approaches and initiatives-a position statement from Kidney Disease Improving Global Outcomes. Kidney Int 2007; 72: 247-259. (Pubitemid 47172384)
7. Gansevoort RT, de Jong PE. The case for using albuminuria in staging chronic kidney disease. J Am Soc Nephrol 2009; 20: 465-468.
8. Glassock RJ, Winearls C. An epidemic of chronic kidney disease: fact or fiction? Nephrol Dial Transpl 2008; 23: 1117-1123.
9. Ikizler TA. CKD classification: time to move beyond KDOQI. J Am Soc Nephrol 2009; 20: 929-930.
10. Wetzels JF, Willems HL, den Heijer M. Age-and gender-specific reference values of estimated glomerular filtration rate in a Caucasian population: results of the Nijmegen Biomedical Study. Kidney Int 2008; 73: 657-658. (Pubitemid 351264119)
11. Winearls CG, Glassock RJ. Dissecting and refining the staging of chronic kidney disease. Kidney Int 2009; 75: 1009-1014.
12. Ruggenenti P, Perna A, Mosconi L et al. Urinary protein excretion rate is the best independent predictor of ESRF in non-diabetic proteinuric chronic nephropathies. 'Gruppo Italiano di Studi Epidemiologici in Nefrologia' (GISEN). Kidney Int 1998; 53: 1209-1216. (Pubitemid 28316881)
13. Keane WF, Zhang Z, Lyle PA, et al.##Brenner BM, RENAAL Study Investigators. Risk scores for predicting outcomes in patients with type 2 diabetes and nephropathy: the RENAAL study. Clin J Am Soc Nephrol 2006; 1: 761-767.
14. Jafar TH, Stark PC, Schmid CH, et al.##Levey AS, AIPRD Study Group. Progression of chronic kidney disease: the role of blood pressure control, proteinuria, and angiotensin-converting enzyme inhibition: a patient-level meta-analysis. Ann Intern Med 2003; 139: 244-252.
15. Wen CP, Cheng TY, Tsai MK et al. All-cause mortality attributable to chronic kidney disease: a prospective cohort study based on 462 293 adults in Taiwan. Lancet 2008; 371: 2173-2182. (Pubitemid 351890412)
16. 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.
17. Hallan S, Astor B, Romundstad S et al. Association of kidney function and albuminuria with cardiovascular mortality in older vs younger individuals: the HUNT II Study. Arch Intern Med 2007; 167: 2490-2496. (Pubitemid 350254909)
18. Astor BC, Hallan SI, Miller III ER et al. Glomerular filtration rate, albuminuria, and risk of cardiovascular and all-cause mortality in the US population. Am J Epidemiol 2008; 167: 1226-1234. (Pubitemid 351670638)
19. Brantsma AH, Bakker SJ, Hillege HL, et al.##Gansevoort RT, PREVEND Study Group. Cardiovascular and renal outcome in subjects with K/DOQI stage 1-3 chronic kidney disease: the importance of urinary albumin excretion. Nephrol Dial Transplant 2008; 23: 3851-3858.
20. Hemmelgarn BR, Manns BJ, Lloyd A et al. Relation between kidney function, proteinuria, and adverse outcomes. JAMA 2010; 303: 423-429.
21. van der Velde M, Halbesma N, de Charro FT et al. Screening for albuminuria identifies individuals at increased renal risk. J Am Soc Nephrol 2009; 20: 852-862.
22. Hallan SI, Ritz E, Lydersen S et al. Combining GFR and albuminuria to classify CKD improves prediction of ESRD. J Am Soc Nephrol 2009; 20: 1069-1077.
23. Coca SG. Long-term outcomes of acute kidney injury. Curr Opin Nephrol Hypertens 2010; 19: 266-272.
24. Goldberg R, Dennen P. Long-term outcomes of acute kidney injury. Adv Chronic Kidney Dis 2008; 15: 297-307. (Pubitemid 351822598)
25. The Chronic Kidney Disease Prognosis Consortium. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality: a collaborative meta-analysis of general population cohorts. Lancet 2010; 375: 2073-2081.
26. The Chronic Kidney Disease Prognosis Consortium. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality: a collaborative meta-analysis of high risk cohorts. Kidney Int. (submitted).
27. The Chronic Kidney Disease Prognosis Consortium. Association of estimated glomerular filtration rate and albuminuria with mortality and end-stage renal disease: a collaborative meta-analysis of kidney disease cohorts. Kidney Int. (submitted).
28. Iseki K, Kinjo K, Iseki C et al. Relationship between predicted creatinine clearance and proteinuria and the risk of developing ESRD in Okinawa, Japan. Am J Kidney Dis 2004; 44: 806-814. (Pubitemid 39445912)
29. Ishani A, Grandits GA, Grimm RH et al. Association of single measurements of dipstick proteinuria, estimated glomerular filtration rate, and hematocrit with 25-year incidence of end-stage renal disease in the multiple risk factor intervention trial. J Am Soc Nephrol 2006; 17: 1444-1452. (Pubitemid 43673426)
30. Imai E, Horio M, Yamagata K et al. Slower decline of glomerular filtration rate in the Japanese general population: a longitudinal 10-year follow-up study. Hypertens Res 2008; 31: 433-441. (Pubitemid 351597496)
31. Ninomiya T, Perkovic V, de Galan BE, et al., for the ADVANCE Collaborative Group. Albuminuria and kidney function independently predict cardiovascular and renal outcomes in diabetes. J Am Soc Nephrol 2009; 20: 1813-1821.
32. Kshirsagar AV, Bang H, Bomback AS et al. A simple algorithm to predict incident kidney disease. Arch Intern Med 2008; 168: 2466-2473.
33. Crowe E, Halpin D, Stevens P, on behalf of the Guideline Development G. Early identification and management of chronic kidney disease: summary of NICE guidance. BMJ 2008; 337: 812-815.
34. 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)
35. 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.
36. 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.
37. White SL, Polkinghorne KR, Atkins RC et al. Comparison of the prevalence and mortality risk of CKD in Australia using the CKD Epidemiology collaboration (CKD-EPI) and modification of diet in renal disease (MDRD) Study GFR estimating equations: the AusDiab (Australian Diabetes, Obesity and Lifestyle) Study. Am J Kidney Dis 2010; 55: 660-670.
38. Shankar A, Klein R, Klein BEK. The association among smoking, heavy drinking and chronic kidney disease. Am J Epidemiol 2006; 164: 263-271. (Pubitemid 44289047)
39. Shlipak MG, Katz R, Kestenbaum B et al. Rate of kidney function decline in older adults: a comparison using creatinine and cystatin C. Am J Nephrol 2009; 30: 171-178.
40. Hallan SI, Ritz E, Lydersen S et al. Combining GFR and albuminuria to classify CKD improves prediction of ESRD. J Am Soc Nephrol 2009; 20: 1069-1077.
41. Bui AL, Katz R, Kestenbaum B et al. Cystatin C and carotid intima-media thickness in asymptomatic adults: the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Kidney Dis 2009; 53: 389-398.
42. Iseki K, Ikemiya Y, Iseki C et al. Proteinuria and the risk of developing end-stage renal disease. Kidney Int 2003; 63: 1468-1474. (Pubitemid 36350012)
43. Tonelli M, Jose P, Curhan G, et al., Cholesterol and Recurrent Events (CARE) Trial Investigators. Proteinuria, impaired kidney function, and adverse outcomes in people with coronary disease: analysis of a previously conducted randomised trial. BMJ 2006; 332: 1426-1431.
44. Mann JF, Schmieder RE, McQueen M, et al., ONTARGET investigators. Renal outcomes with telmisartan, ramipril, or both, in people at high vascular risk (the ONTARGET study): a multicentre, randomised, double-blind, controlled trial. Lancet 2008; 372: 547-553.
45. Pavkov ME, Knowler WC, Hanson RL et al. Predictive power of sequential measures of albuminuria for progression to ESRD or death in Pima Indians with type 2 diabetes. Am J Kidney Dis 2008; 51: 759-766. (Pubitemid 351626246)
46. Mann JFE, Schmieder RE, Dyal L et al. Effects of telmisartan on renal outcomes. Ann Int Med 2009; 151: 1-10.
47. Lee BJ, Forbes K. The role of specialists in managing the health of populations with chronic illness: the example of chronic kidney disease. BMJ 2009; 339: 800-802.
48. 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)
49. Konta T, Hao Z, Takasaki S et al. Clinical utility of trace proteinuria for microalbuminuria screening in the general population. Clin Exp Nephrol 2007; 11: 51-55. (Pubitemid 46474970)
50. Woodward M. Epidemiology: Study Design and Data Analysis. 2nd edn. Chapman & Hall/CRC: Boca Raton, 2005.