Cargando…
Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis
Objectives: Chronic kidney disease (CKD) implies increased comorbidity burden, disability, and mortality, becoming a significant public health problem worldwide, however, prevalence data are lacking in Hungary. Methods: We determined CKD prevalence, stage distribution, comorbidities using estimated...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101229/ https://www.ncbi.nlm.nih.gov/pubmed/37065645 http://dx.doi.org/10.3389/ijph.2023.1605635 |
_version_ | 1785025464640733184 |
---|---|
author | Zemplényi, Antal Sághy, Eszter Kónyi, Anna Szabó, Lilla Wittmann, István Laczy, Boglárka |
author_facet | Zemplényi, Antal Sághy, Eszter Kónyi, Anna Szabó, Lilla Wittmann, István Laczy, Boglárka |
author_sort | Zemplényi, Antal |
collection | PubMed |
description | Objectives: Chronic kidney disease (CKD) implies increased comorbidity burden, disability, and mortality, becoming a significant public health problem worldwide, however, prevalence data are lacking in Hungary. Methods: We determined CKD prevalence, stage distribution, comorbidities using estimated glomerular filtration rate (eGFR), albuminuria, and international disease codes in a cohort of healthcare utilizing residents within the catchment area of the University of Pécs, in the County Baranya, Hungary, between 2011 and 2019 by database analysis. The number of laboratory-confirmed and diagnosis-coded CKD patients were compared. Results: Of the total 296,781 subjects of the region, 31.3% had eGFR tests and 6.4% had albuminuria measurements, of whom we identified 13,596 CKD patients (14.0%) based on laboratory thresholds. Distribution by eGFR was presented (G3a: 70%, G3b: 22%, G4: 6%, G5: 2%). Amongst all CKD patients 70.2% had hypertension, 41.5% diabetes, 20.5% heart failure, 9.4% myocardial infarction, 10.5% stroke. Only 28.6% of laboratory-confirmed cases were diagnosis-coded for CKD in 2011–2019. Conclusion: CKD prevalence was 14.0% in a Hungarian subpopulation of healthcare-utilizing subjects in 2011–2019, and substantial under-reporting of CKD was also found. |
format | Online Article Text |
id | pubmed-10101229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101012292023-04-14 Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis Zemplényi, Antal Sághy, Eszter Kónyi, Anna Szabó, Lilla Wittmann, István Laczy, Boglárka Int J Public Health Public Health Archive Objectives: Chronic kidney disease (CKD) implies increased comorbidity burden, disability, and mortality, becoming a significant public health problem worldwide, however, prevalence data are lacking in Hungary. Methods: We determined CKD prevalence, stage distribution, comorbidities using estimated glomerular filtration rate (eGFR), albuminuria, and international disease codes in a cohort of healthcare utilizing residents within the catchment area of the University of Pécs, in the County Baranya, Hungary, between 2011 and 2019 by database analysis. The number of laboratory-confirmed and diagnosis-coded CKD patients were compared. Results: Of the total 296,781 subjects of the region, 31.3% had eGFR tests and 6.4% had albuminuria measurements, of whom we identified 13,596 CKD patients (14.0%) based on laboratory thresholds. Distribution by eGFR was presented (G3a: 70%, G3b: 22%, G4: 6%, G5: 2%). Amongst all CKD patients 70.2% had hypertension, 41.5% diabetes, 20.5% heart failure, 9.4% myocardial infarction, 10.5% stroke. Only 28.6% of laboratory-confirmed cases were diagnosis-coded for CKD in 2011–2019. Conclusion: CKD prevalence was 14.0% in a Hungarian subpopulation of healthcare-utilizing subjects in 2011–2019, and substantial under-reporting of CKD was also found. Frontiers Media S.A. 2023-03-30 /pmc/articles/PMC10101229/ /pubmed/37065645 http://dx.doi.org/10.3389/ijph.2023.1605635 Text en Copyright © 2023 Zemplényi, Sághy, Kónyi, Szabó, Wittmann and Laczy. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Archive Zemplényi, Antal Sághy, Eszter Kónyi, Anna Szabó, Lilla Wittmann, István Laczy, Boglárka Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis |
title | Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis |
title_full | Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis |
title_fullStr | Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis |
title_full_unstemmed | Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis |
title_short | Prevalence, Cardiometabolic Comorbidities and Reporting of Chronic Kidney Disease; A Hungarian Cohort Analysis |
title_sort | prevalence, cardiometabolic comorbidities and reporting of chronic kidney disease; a hungarian cohort analysis |
topic | Public Health Archive |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10101229/ https://www.ncbi.nlm.nih.gov/pubmed/37065645 http://dx.doi.org/10.3389/ijph.2023.1605635 |
work_keys_str_mv | AT zemplenyiantal prevalencecardiometaboliccomorbiditiesandreportingofchronickidneydiseaseahungariancohortanalysis AT saghyeszter prevalencecardiometaboliccomorbiditiesandreportingofchronickidneydiseaseahungariancohortanalysis AT konyianna prevalencecardiometaboliccomorbiditiesandreportingofchronickidneydiseaseahungariancohortanalysis AT szabolilla prevalencecardiometaboliccomorbiditiesandreportingofchronickidneydiseaseahungariancohortanalysis AT wittmannistvan prevalencecardiometaboliccomorbiditiesandreportingofchronickidneydiseaseahungariancohortanalysis AT laczyboglarka prevalencecardiometaboliccomorbiditiesandreportingofchronickidneydiseaseahungariancohortanalysis |