Die chronische Nierenerkrankung gehört zu den häufigsten chronischen Erkrankungen.
Die Diagnose hat auch in Bezug auf die Patientenprognose große Bedeutung. Und neben
der Schätzung der glomerulären Filtrationsrate ist die Bestimmung der Albuminurie
ein wichtiges prädikatives Werkzeug. Sich an der KDIGO-Leitlinie orientierend, werden
diagnostische Formeln zur Schätzung der Nierenfunktion und Formeln zur individuellen
Risikoabschätzung eines Nierenversagens werden diskutiert [1].
Abstract
The article is based, among other things, on the updated KDIGO guideline for the evaluation
and management of chronic kidney disease, which was published in Kidney International
in March 2024. Chronic kidney disease is one of the most common chronic diseases,
with a prevalence of around 10%, not least due to demographic ageing. The incidence
of chronic kidney disease is approximately twice that of diabetes and approximately
20 times higher than that of cancer. Chronic kidney disease is classified using glomerular
filtration rate and albuminuria. The definition of CKD may also include markers other
than GFR and ACR. Patients with diabetes or hypertension should have GFR and ACR tested
regularly. The individual risk of kidney failure requiring dialysis can be determined
using a prediction equation. A better understanding of age- and gender-specific differences
means that personalized therapy approaches are becoming increasingly important. Clinicians
should be aware of the limitations of the endogenous biomarkers creatinine and cystatin
C for determining GFR. For Germany, the equations of the European Kidney Function
Consortium (EKFC) are recommended for estimating GFR.
Schlüsselwörter
chronische Nierenkrankheit - Klassifikation - Prädiktion - glomeruläre Filtrationsrate
- Schätzformel
Keywords
chronic kidney disease - classification - prediction - glomerular filtration rate
- estimation equation
