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NDT Advance Access published online on May 31, 2005
Nephrology Dialysis Transplantation, doi:10.1093/ndt/gfh914
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© The Author [2005]. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received July 5, 2004
Accepted April 22, 2005

Original Articles

Prevalence of chronic kidney disease based on estimated glomerular filtration rate and proteinuria in Icelandic adults

Olof Viktorsdottir 1, Runolfur Palsson 2, Margret B. Andresdottir 3, Thor Aspelund 4, Vilmundur Gudnason 5, and Olafur S. Indridason 6*

1 University of Iceland Faculty of Medicine, Reykjavik, Iceland
2 University of Iceland Faculty of Medicine, Reykjavik, Iceland; Division of Nephrology, Department of Medicine, Landspitali University Hospital, Reykjavik, Iceland
3 Division of Nephrology, Department of Medicine, Landspitali University Hospital, Reykjavik, Iceland; Icelandic Heart Association--Research Clinic, Reykjavik, Iceland
4 Icelandic Heart Association--Research Clinic, Reykjavik, Iceland
5 University of Iceland Faculty of Medicine, Reykjavik, Iceland; Icelandic Heart Association--Research Clinic, Reykjavik, Iceland
6 Division of Nephrology, Department of Medicine, Landspitali University Hospital, Reykjavik, Iceland

* To whom correspondence should be addressed.
Olafur S. Indridason, E-mail: osi{at}tv.is



  Abstract

Background. The purpose of this study was to compare three different equations to calculate estimated glomerular filtration rate (eGFR) based on serum creatinine (SCr) and to estimate the prevalence of chronic kidney disease (CKD) in the Icelandic population.

Methods. This was a cross-sectional study using data from the Reykjavik Heart Study. GFR was estimated with three equations: Equation I was based on 1/SCr; Equation II based on the Cockcroft-Gault equation; and Equation III was the modified MDRD equation. The eGFR calculated with Equation III and proteinuria were used to estimate the prevalence of CKD. The prevalence was age-standardized to the truncated world population. We used {chi}-square and ANCOVA to compare the group with low eGFR to age-matched controls.

Results. The subjects consisted of 9229 males and 10 027 females, aged 33-85 years. The equations performed very differently. Equation I showed women with higher eGFR than men and little change with age. Equation II showed men with higher eGFR than women and marked decline in eGFR with age. Equation III was similar to Equation II but the decline in eGFR with age was not as great. Regardless of the equation used, most subjects (63.7-80.7%) had an eGFR in the range of 60-89 ml/min/1.73 m2. Using Equation III, age-standardized prevalence of low eGFR for the population aged 35-80+ years was estimated to be 4.7 and 11.6% for men and women, respectively. The proportion of subjects with eGFR <60 ml/min/1.73 m2 increased with advancing age. An additional 2.39% of men and 0.89% of women had proteinuria. The prevalence of renal and cardiovascular risk factors including proteinuria, hypertension, lipid abnormalities and markers of inflammation was higher among those with low eGFR than age-matched controls.

Conclusions. GFR estimates and the prevalence of CKD are dependent on the equation used to calculate eGFR. Unexpectedly, a low proportion of the Icelandic population had normal kidney function according to the eGFR regardless of the equation used. These equations may not be useful in epidemiological research.

Keywords: chronic kidney disease (CKD); cohort study; epidemiology; estimation of GFR; prediction equations; prevalence; proteinuria; serum creatinine.
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