| Literature DB >> 26701975 |
Katharina Brück1, Vianda S Stel2, Giovanni Gambaro3, Stein Hallan4, Henry Völzke5, Johan Ärnlöv6, Mika Kastarinen7, Idris Guessous8, José Vinhas9, Bénédicte Stengel10, Hermann Brenner11, Jerzy Chudek12, Solfrid Romundstad13, Charles Tomson14, Alfonso Otero Gonzalez15, Aminu K Bello16, Jean Ferrieres17, Luigi Palmieri18, Gemma Browne19, Vincenzo Capuano20, Wim Van Biesen21, Carmine Zoccali22, Ron Gansevoort23, Gerjan Navis18, Dietrich Rothenbacher24, Pietro Manuel Ferraro3, Dorothea Nitsch25, Christoph Wanner26, Kitty J Jager2.
Abstract
CKD prevalence estimation is central to CKD management and prevention planning at the population level. This study estimated CKD prevalence in the European adult general population and investigated international variation in CKD prevalence by age, sex, and presence of diabetes, hypertension, and obesity. We collected data from 19 general-population studies from 13 European countries. CKD stages 1-5 was defined as eGFR<60 ml/min per 1.73 m(2), as calculated by the CKD-Epidemiology Collaboration equation, or albuminuria >30 mg/g, and CKD stages 3-5 was defined as eGFR<60 ml/min per 1.73 m(2) CKD prevalence was age- and sex-standardized to the population of the 27 Member States of the European Union (EU27). We found considerable differences in both CKD stages 1-5 and CKD stages 3-5 prevalence across European study populations. The adjusted CKD stages 1-5 prevalence varied between 3.31% (95% confidence interval [95% CI], 3.30% to 3.33%) in Norway and 17.3% (95% CI, 16.5% to 18.1%) in northeast Germany. The adjusted CKD stages 3-5 prevalence varied between 1.0% (95% CI, 0.7% to 1.3%) in central Italy and 5.9% (95% CI, 5.2% to 6.6%) in northeast Germany. The variation in CKD prevalence stratified by diabetes, hypertension, and obesity status followed the same pattern as the overall prevalence. In conclusion, this large-scale attempt to carefully characterize CKD prevalence in Europe identified substantial variation in CKD prevalence that appears to be due to factors other than the prevalence of diabetes, hypertension, and obesity.Entities:
Keywords: chronic kidney disease; clinical epidemiology; creatinine
Mesh:
Year: 2015 PMID: 26701975 PMCID: PMC4926978 DOI: 10.1681/ASN.2015050542
Source DB: PubMed Journal: J Am Soc Nephrol ISSN: 1046-6673 Impact factor: 10.121