Comparison of risk prediction using the CKD-EPI equation and the MDRD study equation for estimated glomerular filtration rate

JAMA

Volumn 307, Issue 18, 2012, Pages 1941-1951

  Matsushita, Kunihiro ^a   Mahmoodi, Bakhtawar K ^a,n   Woodward, Mark ^a,b   Emberson, Jonathan R ^c   Jafar, Tazeen H ^d   Jee, Sun Ha ^e   Polkinghorne, Kevan R ^f,g   Shankar, Anoop ^h   Smith, David H ⁱ   Tonelli, Marcello ^j   Warnock, David G ^k   Wen, Chi Pang ^l,m   Coresh, Josef ^a   Gansevoort, Ron T ⁿ   Hemmelgarn, Brenda R ^o   Levey, Andrew S ^p  

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

^b UNIVERSITY OF SYDNEY   (Australia)

^c UNIVERSITY OF OXFORD   (United Kingdom)

^d AGA KHAN UNIVERSITY HOSPITAL   (Pakistan)

^e Yonsei University   (South Korea)

^f MONASH MEDICAL CENTRE   (Australia)

^g MONASH UNIVERSITY   (Australia)

^h WEST VIRGINIA UNIVERSITY SCHOOL OF MEDICINE   (United States)

ⁱ CENTER FOR HEALTH RESEARCH   (United States)

^j UNIVERSITY OF ALBERTA   (Canada)

^k University of Alabama at Birmingham   (United States)

^l CHINA MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^m NATIONAL HEALTH RESEARCH INSTITUTES   (Taiwan)

ⁿ UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^o UNIVERSITY OF CALGARY   (Canada)

^p TUFTS MEDICAL CENTER   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CAUSE OF DEATH; CHRONIC KIDNEY DISEASE; CLINICAL EVALUATION; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; ETHNICITY; FEMALE; FOLLOW UP; GLOMERULUS FILTRATION RATE; HIGH RISK POPULATION; HUMAN; INTERMETHOD COMPARISON; KIDNEY FAILURE; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL ANALYSIS; OUTCOME ASSESSMENT; POPULATION RISK; PREDICTION; PRIORITY JOURNAL; RACE DIFFERENCE; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; VASCULAR DISEASE;

EID: 84860786143     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2012.3954     Document Type: Article

References (79)

1. National Kidney Foundation. K/DOQI clinical practice guidelines for chronic kidney disease. Am J Kidney Dis. 2002;39(2)(suppl 1):S1-S266.
2. Crowe E, Halpin D, Stevens P, et al. Early identification and management of chronic kidney disease. BMJ. 2008;337:a1530.
3. Matsushita K, van der Velde M, Astor BC, et al. Association of estimated glomerular filtration rate and albuminuria with all-cause and cardiovascular mortality in general population cohorts. Lancet. 2010; 375(9731):2073-2081.
4. van der Velde M, Matsushita K, Coresh J, et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with all-cause and cardiovascular mortality. Kidney Int. 2011;79(12):1341-1352.
5. Gansevoort RT, Matsushita K, van der Velde M, et al. Lower estimated GFR and higher albuminuria are associated with adverse kidney outcomes. Kidney Int. 2011;80(1):93-104.
6. Astor BC, Matsushita K, Gansevoort RT, et al. Lower estimated glomerular filtration rate and higher albuminuria are associated with mortality and end-stage renal disease. Kidney Int. 2011;79(12):1331-1340.
7. The College of American Pathologists. Current status of reporting estimated glomerular filtration rate (eGFR) for adults. http://www.cap.org/apps /docs/committees/chemistry/current-status-of-reporting-eGFR-2011.pdf. Accessed March 6, 2012.
8. Miller WG. Estimating glomerular filtration rate. Clin Chem Lab Med. 2009;47(9):1017-1019.
9. 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(4):247-254. (Pubitemid 46768608)
10. Levey AS, Stevens LA, Schmid CH, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604-612.
11. Tent H, Rook M, Stevens LA, et al. Renal function equations before and after living kidney donation. Clin J Am Soc Nephrol. 2010;5(11):1960-1968.
12. Jones GR. Use of the CKD-EPI equation for estimation of GFR in an Australian cohort. Pathology. 2010;42(5):487-488.
13. White CA, Akbari A, Doucette S, et al. Estimating glomerular filtration rate in kidney transplantation. Clin Chem. 2010;56(3):474-477.
14. Cirillo M, Lombardi C, Luciano MG, et al. Estimation of GFR. Am J Kidney Dis. 2010;56(4):802-804.
15. Eriksen BO, Mathisen UD, Melsom T, et al. Cystatin C is not a better estimator of GFR than plasma creatinine in the general population. Kidney Int. 2010; 78(12):1305-1311.
16. Lane BR, Demirjian S, Weight CJ, et al. Performance of the chronic kidney disease-epidemiology study equations for estimating glomerular filtration rate before and after nephrectomy. J Urol. 2010;183 (3):896-901.
17. Michels WM, Grootendorst DC, Verduijn M, et al. Performance of the Cockcroft-Gault, MDRD, and new CKD-EPI formulas in relation to GFR, age, and body size. Clin J Am Soc Nephrol. 2010;5(6):1003-1009.
18. Murata K, Baumann NA, Saenger AK, et al. Relative performance of the MDRD and CKD-EPI equations for estimating glomerular filtration rate among patients with varied clinical presentations. Clin J Am Soc Nephrol. 2011;6(8):1963-1972.
19. Kukla A, El-Shahawi Y, Leister E, et al. GFRestimating models in kidney transplant recipients on a steroid-free regimen. Nephrol Dial Transplant. 2010; 25(5):1653-1661.
20. Rognant N, Lemoine S, Laville M, et al. Performance of the chronic kidney disease epidemiology collaboration equation to estimate glomerular filtration rate in diabetic patients. Diabetes Care. 2011;34 (6):1320-1322.
21. Matsushita K, Selvin E, Bash LD, et al. Risk implications of the new CKD Epidemiology Collaboration (CKD-EPI) equation compared with the MDRD Study equation for estimated GFR. Am J Kidney Dis. 2010;55(4):648-659.
22. Stevens LA, Li S, Kurella Tamura M, et al. Comparison of the CKD Epidemiology Collaboration (CKDEPI) and Modification of Diet in Renal Disease (MDRD) study equations. Am J Kidney Dis. 2011;57(3) (suppl 2):S9-S16.
23. Skali H, Uno H, Levey AS, et al. Prognostic assessment of estimated glomerular filtration rate by the new Chronic Kidney Disease Epidemiology Collaboration equation in comparison with the Modification of Diet in Renal Disease Study equation. Am Heart J. 2011;162(3):548-554.
24. White SL, Polkinghorne KR, Atkins RC, Chadban SJ. 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. Am J Kidney Dis. 2010;55(4):660-670.
25. Carter JL, Stevens PE, Irving JE, Lamb EJ. Estimating glomerular filtration rate. QJM. 2011;104(10): 839-847.
26. van den Brand JAJG, van Boekel GAJ, Willems HL, et al. Introduction of the CKD-EPI equation to estimate glomerular filtration rate in a Caucasian population. Nephrol Dial Transplant. 2011;26 (10):3176-3181.
27. Mitsuhashi H, Yatsuya H, Matsushita K, et al. Uric acid and left ventricular hypertrophy in Japanese men. Circ J. 2009;73(4):667-672.
28. Shankar A, Klein R, Klein BE. The association among smoking, heavy drinking, and chronic kidney disease. Am J Epidemiol. 2006;164(3):263-271. (Pubitemid 44289047)
29. Zhang L, Zuo L, Xu G, et al. Community-based screening for chronic kidney disease among populations older than 40 years in Beijing. Nephrol Dial Transplant. 2007;22(4):1093-1099. (Pubitemid 46523423)
30. Shlipak MG, Katz R, Kestenbaum B, et al. Rate of kidney function decline in older adults. Am J Nephrol. 2009;30(3):171-178.
31. Shimizu Y, Maeda K, Imano H, et al. Chronic kidney disease and drinking status in relation to risks of stroke and its subtypes. Stroke. 2011;42(9):2531-2537.
32. Jafar TH, Qadri Z, Hashmi S. Prevalence of microalbuminuria and associated electrocardiographic abnormalities in an Indo-Asian population. Nephrol Dial Transplant. 2009;24(7):2111-2116.
33. Zhang QL, Koenig W, Raum E, et al. Epidemiology of chronic kidney disease. Prev Med. 2009; 48(2):122-127.
34. Parikh NI, Hwang S-J, Larson MG, et al. Chronic kidney disease as a predictor of cardiovascular disease (from the Framingham Heart Study). Am J Cardiol. 2008;102(1):47-53.
35. Cirillo M, Lanti MP, Menotti A, et al. Definition of kidney dysfunction as a cardiovascular risk factor. Arch Intern Med. 2008;168(6):617-624.
36. Hallan SI, Coresh J, Astor BC, et al. International comparison of the relationship of chronic kidney disease prevalence and ESRD risk. J Am Soc Nephrol. 2006;17(8):2275-2284. (Pubitemid 44141918)
37. Noda H, Iso H, Irie F, et al. Low-density lipoprotein cholesterol concentrations and death due to intraparenchymal hemorrhage. Circulation. 2009; 119(16):2136-2145.
38. Bui AL, Katz R, Kestenbaum B, et al. Cystatin C and carotid intima-media thickness in asymptomatic adults. Am J Kidney Dis. 2009;53(3):389-398.
39. Roderick PJ, Atkins RJ, Smeeth L, et al. CKD and mortality risk in older people. Am J Kidney Dis. 2009; 53(6):950-960.
40. Astor BC, Hallan SI, Miller ER III, et al. Glomerular filtration rate, albuminuria, and risk of cardiovascular and all-cause mortality in the US population. Am J Epidemiol. 2008;167(10):1226-1234. (Pubitemid 351670638)
41. Nakayama M, Metoki H, Terawaki H, et al. Kidney dysfunction as a risk factor for first symptomatic stroke events in a general Japanese population - the Ohasama study. Nephrol Dial Transplant. 2007; 22(7):1910-1915. (Pubitemid 47244759)
42. Iseki K, Ikemiya Y, Iseki C, Takishita S. Proteinuria and the risk of developing end-stage renal disease. Kidney Int. 2003;63(4):1468-1474. (Pubitemid 36350012)
43. Iseki K, Kohagura K, Sakima A, et al. Changes in the demographics and prevalence of chronic kidney disease in Okinawa, Japan (1993 to 2003). Hypertens Res. 2007;30(1):55-62.
44. Hillege HL, Fidler V, Diercks GF, et al. Urinary albumin excretion predicts cardiovascular and noncardiovascular mortality in general population. Circulation. 2002;106(14):1777-1782.
45. Jassal SK, Kritz-Silverstein D, Barrett-Connor E. A prospective study of albuminuria and cognitive function in older adults. Am J Epidemiol. 2010;171 (3):277-286.
46. Howard VJ, Cushman M, Pulley L, et al. The reasons for geographic and racial differences in stroke study. Neuroepidemiology. 2005;25(3):135-143. (Pubitemid 41207066)
47. Kimm H, Yun JE, Jo J, Jee SH. Low serum bilirubin level as an independent predictor of stroke incidence. Stroke. 2009;40(11):3422-3427.
48. Wen CP, Cheng TY, Tsai MK, et al. All-cause mortality attributable to chronic kidney disease. Lancet. 2008;371(9631):2173-2182.
49. Ingelsson E, Sundström J, Lind L, et al. Lowgrade albuminuria and the incidence of heart failure in a community-based cohort of elderly men. Eur Heart J. 2007;28(14):1739-1745. (Pubitemid 47227087)
50. Patel A, MacMahon S, Chalmers J, et al. Effects of a fixed combination of perindopril and indapamide on macrovascular and microvascular outcomes in patients with type 2 diabetes mellitus (the ADVANCE trial). Lancet. 2007;370(9590):829-840. (Pubitemid 47362321)
51. Tonelli M, Jose P, Curhan G, et al. Proteinuria, impaired kidney function, and adverse outcomes in people with coronary disease. BMJ. 2006;332(7555):1426.
52. Jurkovitz CT, Qiu Y, Wang C, et al. The Kidney Early Evaluation Program (KEEP): program design and demographic characteristics of the population. Am J Kidney Dis. 2008;51(4)(suppl 2):S3-S12. (Pubitemid 351417312)
53. Lee BJ, Forbes K. The role of specialists in managing the health of populations with chronic illness. BMJ. 2009;339:b2395.
54. 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(5):1444-1452. (Pubitemid 43673426)
55. 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(5): 759-766. (Pubitemid 351626246)
56. Bilo HJ, Logtenberg SJ, Joosten H, et al. Modification of diet in renal disease and Cockcroft-Gault formulas do not predict mortality (ZODIAC-6). Diabet Med. 2009;26(5):478-482.
57. Wright JT Jr, Bakris G, Greene T, et al. Effect of blood pressure lowering and antihypertensive drug class on progression of hypertensive kidney disease. JAMA. 2002;288(19):2421-2431. (Pubitemid 35340538)
58. Levin A, Djurdjev O, Beaulieu M, Er L. Variability and risk factors for kidney disease progression and death following attainment of stage 4 CKD in a referred cohort. Am J Kidney Dis. 2008;52(4):661-671.
59. Landray MJ, Thambyrajah J, McGlynn FJ, et al. Epidemiological evaluation of known and suspected cardiovascular risk factors in chronic renal impairment. Am J Kidney Dis. 2001;38(3):537-546. (Pubitemid 32803065)
60. Perkins RM, Bucaloiu ID, Kirchner HL, et al. GFR decline and mortality risk among patientswith chronic kidney disease. Clin J Am Soc Nephrol. 2011;6 (8):1879-1886.
61. Marks A, Fluck N, Prescott G, et al. Chronic diseases: studying and understanding outcome using routine data: chronic kidney disease (CKD), an example. J Epidemiol Community Health. doi:10.1136/jech.2011.142976j.8.
62. Keith DS, Nichols GA, Gullion CM, et al. Longitudinal follow-up and outcomes among a population with chronic kidney disease in a large managed care organization. Arch Intern Med. 2004;164(6):659-663. (Pubitemid 38392981)
63. Van Zuilen AD, Wetzels JF, Bots ML, et al. MASTERPLAN. J Nephrol. 2008;21(3):261-267.
64. Klahr S, Levey AS, Beck GJ, et al. The effects of dietary protein restriction and blood-pressure control on the progression of chronic renal disease. N Engl J Med. 1994;330(13):877-884. (Pubitemid 24094966)
65. Kronenberg F, Kuen E, Ritz E, et al. Lipoprotein (a) serum concentrations and apolipoprotein(a) phenotypes in mild and moderate renal failure. J Am Soc Nephrol. 2000;11(1):105-115. (Pubitemid 30020432)
66. Moranne O, Froissart M, Rossert J, et al. Timing of onset of CKD-related metabolic complications. J Am Soc Nephrol. 2009;20(1):164-171.
67. Brenner BM, Cooper ME, de Zeeuw D, et al. Effects of losartan on renal and cardiovascular outcomes in patients with type 2 diabetes and nephropathy. N Engl J Med. 2001;345(12):861-869.
68. Jorsal A, Tarnow L, Frystyk J, et al. Serum adiponectin predicts all-cause mortality and end stage renal disease in patients with type I diabetes and diabetic nephropathy. Kidney Int. 2008;74(5):649-654.
69. Tangri N, Stevens LA, Griffith J, et al. A predictive model for progression of chronic kidney disease to kidney failure. JAMA. 2011;305(15):1553-1559.
70. Levey AS, Coresh J, Greene T, et al. Expressing the Modification of Diet in Renal Disease Study equation for estimating glomerular filtration rate with standardized serum creatinine values. Clin Chem. 2007; 53(4):766-772. (Pubitemid 46580250)
71. Pencina MJ, D'Agostino RB. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation. Stat Med. 2004;23(13):2109-2123. (Pubitemid 38968032)
72. Pencina MJ, D'Agostino RB Sr, D'Agostino RB Jr, Vasan RS. Evaluating the added predictive ability of a new marker. Stat Med. 2008;27(2):157-172.
73. Cook NR. Use and misuse of the receiver operating characteristic curve in risk prediction. Circulation. 2007;115(7):928-935. (Pubitemid 46294733)
74. Stevens LA, Claybon MA, Schmid CH, et al. Evaluation of the Chronic Kidney Disease Epidemiology Collaboration equation for estimating the glomerular filtration rate in multiple ethnicities. Kidney Int. 2011; 79(5):555-562.
75. Teo BW, Xu H, Wang D, et al. GFR estimating equations in amultiethnic Asian population. Am J Kidney Dis. 2011;58(1):56-63.
76. Levey AS, de Jong PE, Coresh J, et al. The definition, classification, and prognosis of chronic kidney disease. Kidney Int. 2011;80(1):17-28.
77. Tonelli M, Muntner P, Lloyd A, et al. Using proteinuria and estimated glomerular filtration rate to classify risk in patients with chronic kidney disease. Ann Intern Med. 2011;154(1):12-21.
78. Shlipak MG, Praught ML, Sarnak MJ. Update on cystatin C. Curr Opin Nephrol Hypertens. 2006; 15(3):270-275.
79. Astor BC, Levey AS, Stevens LA, et al. Method of glomerular filtration rate estimation affects prediction of mortality risk. J Am Soc Nephrol. 2009; 20(10):2214-2222.