Estimation of glomerular filtration rate: Does haemoglobin discriminate between ageing and true CKD

Nephrology Dialysis Transplantation

Volumn 24, Issue 6, 2009, Pages 1828-1833

  Ferrari, Paolo ^a,b,c   Xiao, Jianguo ^d   Ukich, Alf ^e   Irish, Ashley ^b,c,f  

^a FREMANTLE HOSPITAL   (Australia)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^c Renal Health Network   (Australia)

^d DEPARTMENT OF HEALTH   (Australia)

^e NONE   (Australia)

^f ROYAL PERTH HOSPITAL   (Australia)

Author keywords

Age; Anaemia; Chronic kidney disease; EGFR; Prevalence

Indexed keywords

CREATININE; HEMOGLOBIN;

ADOLESCENT; ADULT; AGE DISTRIBUTION; AGED; AGING; ANEMIA; ARTICLE; CHRONIC KIDNEY DISEASE; CREATININE BLOOD LEVEL; DISEASE ASSOCIATION; FEMALE; GLOMERULUS FILTRATION RATE; HEMOGLOBIN BLOOD LEVEL; HUMAN; MAJOR CLINICAL STUDY; MALE; OUTPATIENT DEPARTMENT; PRIORITY JOURNAL; REFERENCE VALUE; SEX DIFFERENCE;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AGING; COHORT STUDIES; CREATININE; FEMALE; GLOMERULAR FILTRATION RATE; HEMOGLOBINS; HUMANS; KIDNEY FAILURE, CHRONIC; MALE; MIDDLE AGED; REFERENCE VALUES; RENAL INSUFFICIENCY, CHRONIC; WESTERN AUSTRALIA; YOUNG ADULT;

EID: 67651087334     PISSN: 09310509     EISSN: 14602385     Source Type: Journal    
DOI: 10.1093/ndt/gfn738     Document Type: Article

References (22)

1. Mathew TH. Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: a position statement. Med J Aust 2005; 183: 138-141
2. 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
3. Richards N, Harris K, Whitfield M et al. The impact of population-based identification of chronic kidney disease using estimated glomerular filtration rate (eGFR) reporting. Nephrol Dial Transplant 2008; 23: 556-561
4. Coresh J, Astor BC, McQuillan G et al. Calibration and random variation of the serum creatinine assay as critical elements of using equations to estimate glomerular filtration rate. AmJKidneyDis 2002; 39: 920-929
5. 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. AmJKidneyDis 2003; 41: 1-12
6. Chadban SJ, Briganti EM, Kerr PG et al. Prevalence of kidney damage in Australian adults: the AusDiab kidney study. J Am Soc Nephrol 2003; 14: S131-S138
7. Lindeman RD, Tobin JD, Shock NW. Association between blood pressure and the rate of decline in renal function with age. Kidney Int 1984; 26: 861-868
8. Lindeman RD, Tobin J, Shock NW. Longitudinal studies on the rate of decline in renal function with age. J Am Geriatr Soc 1985; 33: 278-285
9. Froissart M, Rossert J, Jacquot C et al. Predictive performance of the modification of diet in renal disease and Cockcroft-Gault equations for estimating renal function. J Am Soc Nephrol 2005; 16: 763-773
10. Bauer C, Melamed ML, Hostetter TH. Staging of chronic kidney disease: time for a course correction. J Am Soc Nephrol 2008
11. Lee YT, Chiu HC, Su HM et al. Lower hemoglobin concentrations and subsequent decline in kidney function in an apparently healthy population aged 60 year and older. Clin Chim Acta 2008; 389: 25-30
12. Mathew TH, Johnson DW, Jones GR. Chronic kidney disease and automatic reporting of estimated glomerular filtration rate: revised recommendations. Med J Aust 2007; 187: 459-463
13. McLean E, Cogswell M, Egli I et al. Worldwide prevalence of anaemia, WHO Vitamin and Mineral Nutrition Information System, 1993-2005. Public Health Nutr 2008; 1-11
14. Halbesma N, Kuiken DS, Brantsma AH et al. Macroalbuminuria is a better risk marker than low estimated GFR to identify individuals at risk for accelerated GFR loss in population screening. J Am Soc Nephrol 2006; 17: 2582-2590
15. Mathew T. Addressing the epidemic of chronic kidney disease in Australia. Nephrology (Carlton) 2004; 9(Suppl 4): S109-S112
16. Anandarajah S, Tai T, de Lusignan S et al. The validity of searching routinely collected general practice computer data to identify patients with chronic kidney disease (CKD): a manual review of 500 medical records. Nephrol Dial Transplant 2005; 20: 2089-2096
17. 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
18. Roderick PJ, Atkins RJ, Smeeth L et al. Detecting chronic kidney disease in older people; what are the implications? Age Ageing 2008; 37: 179-186
19. Drueke TB, Locatelli F, Clyne N et al. Normalization of hemoglobin level in patients with chronic kidney disease and anemia. N Engl J Med 2006; 355: 2071-2084
20. Weiner DE, Tighiouart H, Elsayed EF et al. The relationship between nontraditional risk factors and outcomes in individuals with stage 3 to 4 CKD. Am J Kidney Dis 2008; 51: 212-223
21. Viktorsdottir O, Palsson R, Andresdottir MB et al. Prevalence of chronic kidney disease based on estimated glomerular filtration rate and proteinuria in Icelandic adults. Nephrol Dial Transplant 2005; 20: 1799-1807
22. Clase CM, Garg AX, Kiberd BA. Prevalence of low glomerular filtration rate in nondiabetic Americans: Third National Health and Nutrition Examination Survey (NHANES III). J Am Soc Nephrol 2002; 13: 1338-1349