Race differences in prevalence of chronic kidney disease among young adults using creatinine-based glomerular filtration rate-estimating equations

Nephrology Dialysis Transplantation

Volumn 25, Issue 12, 2010, Pages 3934-3939

  Peralta, Carmen A ^a,b   Lin, Feng ^a   Shlipak, Michael G ^a,b   Siscovick, David ^c   Lewis, Cora ^d   Jacobs Jr , David R ^e   Bibbins Domingo, Kirsten ^a,f  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SAN FRANCISCO VETERANS AFFAIRS MEDICAL CENTER   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d University of Alabama at Birmingham   (United States)

^e UNIVERSITY OF MINNESOTA   (United States)

^f SAN FRANCISCO GENERAL HOSPITAL   (United States)

Author keywords

chronic kidney disease; glomerular filtration rate; race

Indexed keywords

CREATININE; URIC ACID;

ADULT; ALBUMINURIA; ARTICLE; CAUCASIAN; CHRONIC KIDNEY DISEASE; CREATININE URINE LEVEL; DIABETES MELLITUS; FEMALE; GLOMERULUS FILTRATION RATE; HUMAN; MAJOR CLINICAL STUDY; MALE; NEGRO; PREVALENCE; PRIORITY JOURNAL; RACE DIFFERENCE; RISK FACTOR; SYSTOLIC BLOOD PRESSURE;

ADOLESCENT; ADULT; AFRICAN CONTINENTAL ANCESTRY GROUP; CHRONIC DISEASE; CREATININE; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; GLOMERULAR FILTRATION RATE; HUMANS; KIDNEY; KIDNEY DISEASES; MALE; MODELS, BIOLOGICAL; PREVALENCE; UNITED STATES; YOUNG ADULT;

EID: 78649499229     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfq299     Document Type: Article

References (15)

1. US Renal Data System. USRDS 2007 Annual Data Report. Atlas of Chronic Kidney Disease and End-Stage Renal Disease in the United States. Bethesda, MD, USA: National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, 2007
2. Klag MJ, Whelton PK, Randall BL et al. End-stage renal disease in African-American and white men. 16-year MRFIT findings. JAMA 1997; 277: 1293-1298
3. Coresh J, Astor BC, Greene T et al. Prevalence of chronic kidney disease and decreased kidney function in the adult US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis 2003; 41: 1-12
4. Hsu CY, Lin F, Vittinghoff E et al. Racial differences in the progression from chronic renal insufficiency to end-stage renal disease in the United States. J Am Soc Nephrol 2003; 14: 2902-2907
5. 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
6. Levey AS, Coresh J, Balk E et al. National Kidney Foundation practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Ann Intern Med 2003; 139: 137-147
7. Lin J, Knight EL, Hogan ML et al. A comparison of prediction equations for estimating glomerular filtration rate in adults without kidney disease. J Am Soc Nephrol 2003; 14: 2573-2580
8. Perkins BA, Nelson RG, Ostrander BE et al. Detection of renal function decline in patients with diabetes and normal or elevated GFR by serial measurements of serum cystatin C concentration: results of a 4-year follow-up study. J Am Soc Nephrol 2005; 16: 1404-1412
9. Poggio ED, Wang X, Greene Tet al. Performance of the modification of diet in renal disease and Cockcroft-Gault equations in the estimation of GFR in health and in chronic kidney disease. JAm Soc Nephrol 2005; 16: 459-466 (Pubitemid 41725142)
10. Stevens LA, Manzi J, Levey AS et al. Impact of creatinine calibration on performance of GFR estimating equations in a pooled individual patient database. Am J Kidney Dis 2007; 50: 21-35
11. Levey AS, Stevens LA, Schmid CH et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150: 604-612
12. Den Hartog JR, Reese PP, Cizman B et al. The costs and benefits of automatic estimated glomerular filtration rate reporting. Clin J Am Soc Nephrol 2009; 4: 419-427
13. Friedman GD, Cutter GR, Donahue RP et al. CARDIA: study design, recruitment, and some characteristics of the examined subjects. J Clin Epidemiol 1988; 41: 1105-1116
14. Myers GL, Miller WG, Coresh J et al. Recommendations for improving serum creatinine measurement: a report from the Laboratory Working Group of the National Kidney Disease Education Program. Clin Chem 2006; 52: 5-18
15. JacobsDRJr, Murtaugh MA, Steffes Met al. Gender- and race-specific determination of albumin excretion rate using albumin-to-creatinine ratio in single, untimed urine specimens: the Coronary Artery Risk Development in Young Adults Study. Am J Epidemiol 2002; 155: 1114-1119