American Journal of Kidney Diseases
Volume 52, Issue 3 , Pages 434-443 , September 2008

A Population-Based Screening for Microalbuminuria Among Relatives of CKD Patients: The Kidney Evaluation and Awareness Program in Sheffield (KEAPS)

  • Aminu K. Bello, MMedSci, MRCP

      Affiliations

    • Sheffield Kidney Institute, The University of Sheffield, Sheffield, UK
    • ,
  • Jean Peters, PhD, FFPH

      Affiliations

    • School of Health and Related Research, The University of Sheffield, Sheffield, UK
    • ,
  • Jeremy Wight, MD, FRCP, FFPH

      Affiliations

    • Directorate of Public Health, Sheffield Primary Care Trust and City Council, Sheffield, UK
    • ,
  • Dick de Zeeuw, MD, PhD

      Affiliations

    • University Medical Centre Groningen, Groningen, The Netherlands
    • ,
  • Meguid El Nahas, PhD, FRCP

      Affiliations

    • Sheffield Kidney Institute, The University of Sheffield, Sheffield, UK
    • Corresponding Author InformationAddress correspondence to Meguid El Nahas, PhD, FRCP, Sheffield Kidney Institute, Northern General Hospital Campus (Sorby Wing), Sheffield S5 7AU, UK
    • ,
  • European Kidney Institute

Received 10 September 2007 ,Accepted 26 December 2007.

References 

  1. El Nahas AM, Bello AK. Chronic kidney disease (The global challenge). Lancet. 2005;365:331–340
  2. De Zeeuw D. Albuminuria, not only a cardiovascular/renal risk marker, but also a target for treatment?. Kidney Int Suppl. 2004;92:S2–S6
  3. Hillege HL, Janssen WM, Bak AA, et al. Microalbuminuria is common, also in a nondiabetic, nonhypertensive population, and an independent indicator of cardiovascular risk factors and cardiovascular morbidity. J Intern Med. 2001;249:519–526
  4. Jones AC, Francis ME, Eberhardt MS, et al. Microalbuminuria in the US population: Third National Health and Nutrition Examination Survey. Am J Kidney Dis. 2002;39:445–459
  5. 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(suppl 2):S131–S138
  6. Brown WW, Peters RM, Ohmit SE, et al. Early detection of kidney disease in community settings (The Kidney Early Evaluation Program (KEEP)). Am J Kidney Dis. 2003;42:22–35
  7. Stidley CA, Shah VO, Narva AS, et al. A population-based, cross-sectional survey of the Zuni Pueblo: A collaborative approach to an epidemic of kidney disease. Am J Kidney Dis. 2002;39:358–368
  8. McDonald SP, Maguire GP, Hoy WE. Renal function and cardiovascular risk markers in a remote Australian Aboriginal community. Nephrol Dial Transplant. 2003;18:1555–1561
  9. Ferguson R, Grim CE, Opgenorth TJ. A familial risk of chronic renal failure among blacks on dialysis?. J Clin Epidemiol. 1988;41:1189–1196
  10. O'Dea DF, Murphy SW, Hefferton D, et al. Higher risk for renal failure in first-degree relatives of white patients with end-stage renal disease: A population-based study. Am J Kidney Dis. 1998;32:794–801
  11. Marcantoni C, Brezzi B, Matalone M, et al. Increased risk of renal abnormalities in relatives of end-stage renal disease (ESRD) patients: A case control study. J Am Soc Nephrol. 2001;12:226A;(abstr)
  12. Anonymous: UK 2001 Census. Available at: http://www.statistics.gov.uk/census/default.asp. Accessed August 15, 2007
  13. Anonymous Clinical Guidelines on the Identification, Evaluation, and Treatment of Overweight and Obesity in Adults—The Evidence Report (National Institutes of Health). Obes Res Suppl. 1998;2:S51–S209
  14. Anonymous Chronic Kidney Disease in Adults (UK Guidelines for Identification, Management and Referral). www.renal.org/CKDguideAccessed April 30, 2007
  15. 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
  16. Fleiss JL, Levin B, Paik MC. Statistical Methods for Rates and Proportions. In: (ed 3). New York: Wiley; 2003;p. 491–537
  17. Hillege HL, Fidler V, Diercks GF, et al. Urinary albumin excretion predicts cardiovascular and noncardiovascular mortality in general population. Circulation. 2002;106:1777–1782
  18. Yuyun MF, Khaw KT, Luben R, et al. Microalbuminuria, cardiovascular risk factors and cardiovascular morbidity in a British population: The EPIC-Norfolk population-based study. Eur J Cardiovasc Prev Rehabil. 2004;11:207–213
  19. Iseki K, Iseki C, Ikemiya Y, Kinjo K, Takishita S. Risk of developing low glomerular filtration rate or elevated serum creatinine in a screened cohort in Okinawa, Japan. Hypertens Res. 2007;30:167–174
  20. Verhave JC, Gansevoort RT, Hillege HL, Bakker SJ, De Zeeuw D, de Jong PE. An elevated urinary albumin excretion predicts de novo development of renal function impairment in the general population. Kidney Int Suppl. 2004;92:S18–S21
  21. Gansevoort RT, Verhave JC, Hillege HL, et al. The validity of screening based on spot morning urine samples to detect subjects with microalbuminuria in the general population. Kidney Int Suppl. 2005;94:S28–S35
  22. Brantsma AH, Bakker SJ, Hillege HL, de Zeeuw D, de Jong PE, Gansevoort RT. Urinary albumin excretion and its relation with C-reactive protein and the metabolic syndrome in the prediction of type 2 diabetes. Diabetes Care. 2005;28:2525–2530
  23. Wang TJ, Evans JC, Meigs JB, et al. Low-grade albuminuria and the risks of hypertension and blood pressure progression. Circulation. 2005;111:1370–1376
  24. Rossi R, Chiurlia E, Nuzzo A, Cioni E, Origliani G, Modena MG. Flow-mediated vasodilation and the risk of developing hypertension in healthy postmenopausal women. J Am Coll Cardiol. 2004;44:1636–1640
  25. Bonnet F, Marre M, Halimi JM, et al. Waist circumference and the metabolic syndrome predict the development of elevated albuminuria in non-diabetic subjects: The DESIR Study. J Hypertens. 2006;24:1157–1163
  26. Bello AK, De Zeeuw D, El Nahas AM, et al. Impact of weight change on albuminuria in the general population. Nephrol Dial Transplant. 2007;22:1619–1627
  27. Vestbo E, Damsgaard EM, Froland A, Mogensen CE. Urinary albumin excretion in a population-based cohort. Diabet Med. 1995;12:488–493
  28. Martins D, Tareen N, Zadshir A, et al. The association of poverty with the prevalence of albuminuria: Data from the Third National Health and Nutrition Examination Survey (NHANES III). Am J Kidney Dis. 2006;47:965–971
  29. Jinks C, Ong BN, Croft P. Postal surveys in primary care: The hidden burden. Health Expectations. 2001;4:253–259
  30. Bangstad HJ, Try K, Dahl JK, et al. New semiquantitative dipstick test for microalbuminuria. Diabetes Care. 1991;14:1094–1097
  31. Bolton-Smith C, Woodward M, Tunstall-Pedoe H, Morrison C. Accuracy of the estimated prevalence of obesity from self reported height and weight in an adult Scottish population. J Epidemiol Community Health. 2000;54:143–148
  32. Niedhammer I, Bugel I, Bonenfant S, Goldberg M, Leclerc A. Validity of self-reported weight and height in the French GAZEL cohort. Int J Obes Relat Metab Disord. 2000;24:1111–1118
  33. Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004;57:1096–1103
  34. National Kidney Foundation. K/DOQI Clinical Practice Guidelines for Chronic Kidney Disease: Evaluation, classification, and stratification. Am J Kidney Dis. 2002;39(suppl 2):S1–S246

 Originally published online as doi:10.1053/j.ajkd.2007.12.034 on March 24, 2008.

PII: S0272-6386(08)00068-1

doi: 10.1053/j.ajkd.2007.12.034

American Journal of Kidney Diseases
Volume 52, Issue 3 , Pages 434-443 , September 2008

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