Biochemia Medica, Vol. 28 No. 1, 2018.
Original scientific paper
Reliability of CKD-EPI predictive equation in estimating chronic kidney disease prevalence in the Croatian endemic nephropathy area
Mirjana Fuček
orcid.org/0000-0002-0152-7790
; Department of Laboratory Diagnostics, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Živka Dika
; Department of Nephrology, Hypertension and Dialysis, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Sandra Karanović
; Department of Nephrology, Hypertension and Dialysis, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Ivana Vuković Brinar
; Department of Nephrology, Hypertension and Dialysis, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Vedran Premužić
; Department of Nephrology, Hypertension and Dialysis, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Jelena Kos
; Department of Nephrology, Hypertension and Dialysis, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Ante Cvitković
; Institute for Public Health, Brodsko Posavska County, Slavonski Brod, Croatia
Maja Mišić
; Department of Pathology, General Hospital “Dr. Josip Benčević“, Slavonski Brod, Croatia
Josip Samardžić
; Department of Pathology, General Hospital “Dr. Josip Benčević“, Slavonski Brod, Croatia
Dunja Rogić
; Department of Laboratory Diagnostics, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Bojan Jelaković
; Department of Nephrology, Hypertension and Dialysis, University Hospital Center Zagreb, School of Medicine University of Zagreb, Zagreb, Croatia
Abstract
Introduction: Chronic kidney disease (CKD) is a significant public health problem and it is not possible to precisely predict its progression to terminal
renal failure. According to current guidelines, CKD stages are classified based on the estimated glomerular filtration rate (eGFR) and albuminuria.
Aims of this study were to determine the reliability of predictive equation in estimation of CKD prevalence in Croatian areas with endemic nephropathy
(EN), compare the results with non-endemic areas, and to determine if the prevalence of CKD stages 3-5 was increased in subjects with EN.
Materials and methods: A total of 1573 inhabitants of the Croatian Posavina rural area from 6 endemic and 3 non-endemic villages were enrolled.
Participants were classified according to the modified criteria of the World Health Organization for EN. Estimated GFR was calculated using Chronic
Kidney Disease Epidemiology Collaboration equation (CKD-EPI).
Results: The results showed a very high CKD prevalence in the Croatian rural area (19%). CKD prevalence was significantly higher in EN then in non
EN villages with the lowest eGFR value in diseased subgroup.
Conclusions: eGFR correlated significantly with the diagnosis of EN. Kidney function assessment using CKD-EPI predictive equation proved to be a
good marker in differentiating the study subgroups, remained as one of the diagnostic criteria for EN.
Keywords
chronic kidney disease; estimated glomerular filtration rate; predictive equation; endemic nephropathy
Hrčak ID:
189591
URI
Publication date:
15.2.2018.
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