Cargando…
Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study
BACKGROUND: Chronic kidney disease (CKD) is a largely asymptomatic condition of diminished renal function, which may not be detected until advanced stages without screening. AIM: To establish undiagnosed and overall CKD prevalence using a cross-sectional analysis. DESIGN AND SETTING: Longitudinal co...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Royal College of General Practitioners
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015167/ https://www.ncbi.nlm.nih.gov/pubmed/32041766 http://dx.doi.org/10.3399/bjgp20X708245 |
_version_ | 1783496767409487872 |
---|---|
author | Hirst, Jennifer A Hill, Nathan O’Callaghan, Chris A Lasserson, Daniel McManus, Richard J Ogburn, Emma Mena, José M Ordóñez Shine, Brian Taylor, Clare J Vazquez-Montes, Maria DLA Yang, Yaling Hobbs, FD Richard |
author_facet | Hirst, Jennifer A Hill, Nathan O’Callaghan, Chris A Lasserson, Daniel McManus, Richard J Ogburn, Emma Mena, José M Ordóñez Shine, Brian Taylor, Clare J Vazquez-Montes, Maria DLA Yang, Yaling Hobbs, FD Richard |
author_sort | Hirst, Jennifer A |
collection | PubMed |
description | BACKGROUND: Chronic kidney disease (CKD) is a largely asymptomatic condition of diminished renal function, which may not be detected until advanced stages without screening. AIM: To establish undiagnosed and overall CKD prevalence using a cross-sectional analysis. DESIGN AND SETTING: Longitudinal cohort study in UK primary care. METHOD: Participants aged ≥60 years were invited to attend CKD screening visits to determine whether they had reduced renal function (estimated glomerular filtration rate [eGFR] <60 ml/min/1.73 m(2) or albumin:creatinine ratio ≥3 mg/mmol). Those with existing CKD, low eGFR, evidence of albuminuria, or two positive screening tests attended a baseline assessment (CKD cohort). RESULTS: A total of 3207 participants were recruited and 861 attended the baseline assessment. The CKD cohort consisted of 327 people with existing CKD, 257 people with CKD diagnosed through screening (CKD prevalence of 18.2%, 95% confidence interval [CI] = 16.9 to 19.6), and 277 with borderline/transient decreased renal function. In the CKD cohort, 54.4% were female, mean standard deviation (SD) age was 74.0 (SD 6.9) years, and mean eGFR was 58.0 (SD 18.4) ml/min/1.73 m(2). Of the 584 with confirmed CKD, 44.0% were diagnosed through screening. Over half of the CKD cohort (51.9%, 447/861) fell into CKD stages 3–5 at their baseline assessment, giving an overall prevalence of CKD stages 3–5 of 13.9% (95% CI = 12.8 to 15.1). More people had reduced eGFR using the Modification of Diet in Renal Disease (MDRD) equation than with CKD Epidemiology Collaboration (CKD-EPI) equation in the 60–75-year age group and more had reduced eGFR using CKD-EPI in the ≥80-year age group. CONCLUSION: This study found that around 44.0% of people living with CKD are undiagnosed without screening, and prevalence of CKD stages 1–5 was 18.2% in participants aged >60 years. Follow-up will provide data on annual incidence, rate of CKD progression, determinants of rapid progression, and predictors of cardiovascular events. |
format | Online Article Text |
id | pubmed-7015167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Royal College of General Practitioners |
record_format | MEDLINE/PubMed |
spelling | pubmed-70151672020-02-27 Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study Hirst, Jennifer A Hill, Nathan O’Callaghan, Chris A Lasserson, Daniel McManus, Richard J Ogburn, Emma Mena, José M Ordóñez Shine, Brian Taylor, Clare J Vazquez-Montes, Maria DLA Yang, Yaling Hobbs, FD Richard Br J Gen Pract Research BACKGROUND: Chronic kidney disease (CKD) is a largely asymptomatic condition of diminished renal function, which may not be detected until advanced stages without screening. AIM: To establish undiagnosed and overall CKD prevalence using a cross-sectional analysis. DESIGN AND SETTING: Longitudinal cohort study in UK primary care. METHOD: Participants aged ≥60 years were invited to attend CKD screening visits to determine whether they had reduced renal function (estimated glomerular filtration rate [eGFR] <60 ml/min/1.73 m(2) or albumin:creatinine ratio ≥3 mg/mmol). Those with existing CKD, low eGFR, evidence of albuminuria, or two positive screening tests attended a baseline assessment (CKD cohort). RESULTS: A total of 3207 participants were recruited and 861 attended the baseline assessment. The CKD cohort consisted of 327 people with existing CKD, 257 people with CKD diagnosed through screening (CKD prevalence of 18.2%, 95% confidence interval [CI] = 16.9 to 19.6), and 277 with borderline/transient decreased renal function. In the CKD cohort, 54.4% were female, mean standard deviation (SD) age was 74.0 (SD 6.9) years, and mean eGFR was 58.0 (SD 18.4) ml/min/1.73 m(2). Of the 584 with confirmed CKD, 44.0% were diagnosed through screening. Over half of the CKD cohort (51.9%, 447/861) fell into CKD stages 3–5 at their baseline assessment, giving an overall prevalence of CKD stages 3–5 of 13.9% (95% CI = 12.8 to 15.1). More people had reduced eGFR using the Modification of Diet in Renal Disease (MDRD) equation than with CKD Epidemiology Collaboration (CKD-EPI) equation in the 60–75-year age group and more had reduced eGFR using CKD-EPI in the ≥80-year age group. CONCLUSION: This study found that around 44.0% of people living with CKD are undiagnosed without screening, and prevalence of CKD stages 1–5 was 18.2% in participants aged >60 years. Follow-up will provide data on annual incidence, rate of CKD progression, determinants of rapid progression, and predictors of cardiovascular events. Royal College of General Practitioners 2020-02-11 /pmc/articles/PMC7015167/ /pubmed/32041766 http://dx.doi.org/10.3399/bjgp20X708245 Text en ©The Authors http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This article is Open Access: CC BY-NC 4.0 licence (http://creativecommons.org/licences/by-nc/4.0/). |
spellingShingle | Research Hirst, Jennifer A Hill, Nathan O’Callaghan, Chris A Lasserson, Daniel McManus, Richard J Ogburn, Emma Mena, José M Ordóñez Shine, Brian Taylor, Clare J Vazquez-Montes, Maria DLA Yang, Yaling Hobbs, FD Richard Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study |
title | Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study |
title_full | Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study |
title_fullStr | Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study |
title_full_unstemmed | Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study |
title_short | Prevalence of chronic kidney disease in the community using data from OxRen: a UK population-based cohort study |
title_sort | prevalence of chronic kidney disease in the community using data from oxren: a uk population-based cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7015167/ https://www.ncbi.nlm.nih.gov/pubmed/32041766 http://dx.doi.org/10.3399/bjgp20X708245 |
work_keys_str_mv | AT hirstjennifera prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT hillnathan prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT ocallaghanchrisa prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT lassersondaniel prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT mcmanusrichardj prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT ogburnemma prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT menajosemordonez prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT shinebrian prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT taylorclarej prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT vazquezmontesmariadla prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT yangyaling prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy AT hobbsfdrichard prevalenceofchronickidneydiseaseinthecommunityusingdatafromoxrenaukpopulationbasedcohortstudy |