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Population-based reference values for kidney function and kidney function decline in 25- to 95-year-old Germans without and with diabetes.
Herold, Janina M; Wiegrebe, Simon; Nano, Jana; Jung, Bettina; Gorski, Mathias; Thorand, Barbara; Koenig, Wolfgang; Zeller, Tanja; Zimmermann, Martina E; Burkhardt, Ralph; Banas, Bernhard; Küchenhoff, Helmut; Stark, Klaus J; Peters, Annette; Böger, Carsten A; Heid, Iris M.
Afiliación
  • Herold JM; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Wiegrebe S; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany; Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Munich, Germany.
  • Nano J; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
  • Jung B; Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology, Diabetology, and Rheumatology, Traunstein Hospital, Southeast Bavarian Clinics, Traunstein, Germany; KfH Kidney Center Traunstein, Traunstein, Germany.
  • Gorski M; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Thorand B; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medic
  • Koenig W; Deutsches Herzzentrum München, Technische Universität München, Munich, Germany; DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany; Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.
  • Zeller T; University Heart and Vascular Center, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; German Center for Cardiovascular Research (DZHK), Partner Site Hamburg, Hamburg, Germany.
  • Zimmermann ME; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Burkhardt R; Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, Regensburg, Germany.
  • Banas B; Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany.
  • Küchenhoff H; Statistical Consulting Unit StaBLab, Department of Statistics, LMU Munich, Munich, Germany.
  • Stark KJ; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany.
  • Peters A; Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health (GmbH), Neuherberg, Germany; German Center for Diabetes Research (DZD), Partner München-Neuherberg, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medic
  • Böger CA; Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany; Department of Nephrology, Diabetology, and Rheumatology, Traunstein Hospital, Southeast Bavarian Clinics, Traunstein, Germany; KfH Kidney Center Traunstein, Traunstein, Germany.
  • Heid IM; Department of Genetic Epidemiology, University of Regensburg, Regensburg, Germany. Electronic address: iris.heid@ukr.de.
Kidney Int ; 2024 Jul 29.
Article en En | MEDLINE | ID: mdl-39084259
ABSTRACT
Understanding normal aging of kidney function is pivotal to help distinguish individuals at particular risk for chronic kidney disease. Glomerular filtration rate (GFR) is typically estimated via serum creatinine (eGFRcrea) or cystatin C (eGFRcys). Since population-based age-group-specific reference values for eGFR and eGFR-decline are scarce, we aimed to provide such reference values from population-based data of a wide age range. In four German population-based cohorts (KORA-3, KORA-4, AugUR, DIACORE), participants underwent medical exams, interview, and blood draw up to five times within up to 25 years. We analyzed eGFRcrea and eGFRcys cross-sectionally and longitudinally (12,000 individuals, age 25-95 years). Cross-sectionally, we found age-group-specific eGFRcrea to decrease approximately linearly across the full age range, for eGFRcys up to the age of 60 years. Within age-groups, there was little difference by sex or diabetes status. Longitudinally, linear mixed models estimated an annual eGFRcrea decline of -0.80 [95% confidence interval -0.82, -0.77], -0.79 [-0.83, -0.76], and -1.20 mL/min/1.73m2 [-1.33, -1.08] for the general population, "healthy" individuals, or individuals with diabetes, respectively. Reference values for eGFR using cross-sectional data were shown as percentile curves for "healthy" individuals and for individuals with diabetes. Reference values for eGFR-decline using longitudinal data were presented as 95% prediction intervals for "healthy" individuals and for individuals with diabetes, obesity, and/or albuminuria. Thus, our results can help clinicians to judge eGFR values in individuals seen in clinical practice according to their age and to understand the expected range of annual eGFR-decline based on their risk profile.
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Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Kidney Int Año: 2024 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Base de datos: MEDLINE Idioma: En Revista: Kidney Int Año: 2024 Tipo del documento: Article País de afiliación: Alemania