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Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care

BACKGROUND: Chronic kidney disease (CKD) is diagnosed using the estimated glomerular filtration rate (eGFR) and the urinary albumin:creatinine ratio (ACR). The eGFR is calculated from serum creatinine levels using the Modification of Diet in Renal Disease (MDRD) or Chronic Kidney Disease Epidemiolog...

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Autores principales: Hirst, Jennifer A, Montes, Maria DLA Vazquez, Taylor, Clare J, Ordóñez-Mena, José M, Ogburn, Emma, Sharma, Vanshika, Shine, Brian, James, Tim, Hobbs, FD Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of General Practitioners 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058619/
https://www.ncbi.nlm.nih.gov/pubmed/29970394
http://dx.doi.org/10.3399/bjgp18X697937
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author Hirst, Jennifer A
Montes, Maria DLA Vazquez
Taylor, Clare J
Ordóñez-Mena, José M
Ogburn, Emma
Sharma, Vanshika
Shine, Brian
James, Tim
Hobbs, FD Richard
author_facet Hirst, Jennifer A
Montes, Maria DLA Vazquez
Taylor, Clare J
Ordóñez-Mena, José M
Ogburn, Emma
Sharma, Vanshika
Shine, Brian
James, Tim
Hobbs, FD Richard
author_sort Hirst, Jennifer A
collection PubMed
description BACKGROUND: Chronic kidney disease (CKD) is diagnosed using the estimated glomerular filtration rate (eGFR) and the urinary albumin:creatinine ratio (ACR). The eGFR is calculated from serum creatinine levels using the Modification of Diet in Renal Disease (MDRD) or Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. AIM: To compare the performance of one versus two eGFR/ACR measurements, and the impact of equation choice, on CKD diagnosis and classification. DESIGN AND SETTING: Cohort study in primary care in the Thames Valley region of the UK. METHOD: Data were from 485 participants aged >60 years in the Oxford Renal Cohort Study with at least two eGFR tests. The proportion of study participants diagnosed and classified into different CKD stages using one and two positive tests were compared. Prevalence of CKD diagnosis and classification by CKD stage were compared when eGFR was calculated using MDRD and CKD-EPI equations. RESULTS: Participants included in the analysis had a mean age of 72.1 (±6.8) years and 57.0% were female. Use of a single screening test overestimated the proportion of people with CKD by around 25% no matter which equation was used, compared with the use of two tests. The mean eGFR was 1.4 ml/min/1.73 m(2) (95% CI = 1.1 to 1.6) higher using the CKD-EPI equation compared with the MDRD equation. More patients were diagnosed with CKD when using the MDRD equation, compared with the CKD-EPI equation, once (64% versus 63%, respectively) and twice (39% versus 38%, respectively), and 16 individuals, all of who had CKD stages 2 or 3A with MDRD, were reclassified as having a normal urinary ACR when using the CKD-EPI equation. CONCLUSION: Current guidance to use two eGFR measures to diagnose CKD remains appropriate in an older primary care population to avoid overdiagnosis. A change from MDRD to CKD-EPI equation could result in one in 12 patients with a CKD diagnosis with MDRD no longer having a diagnosis of CKD.
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spelling pubmed-60586192018-08-08 Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care Hirst, Jennifer A Montes, Maria DLA Vazquez Taylor, Clare J Ordóñez-Mena, José M Ogburn, Emma Sharma, Vanshika Shine, Brian James, Tim Hobbs, FD Richard Br J Gen Pract Research BACKGROUND: Chronic kidney disease (CKD) is diagnosed using the estimated glomerular filtration rate (eGFR) and the urinary albumin:creatinine ratio (ACR). The eGFR is calculated from serum creatinine levels using the Modification of Diet in Renal Disease (MDRD) or Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations. AIM: To compare the performance of one versus two eGFR/ACR measurements, and the impact of equation choice, on CKD diagnosis and classification. DESIGN AND SETTING: Cohort study in primary care in the Thames Valley region of the UK. METHOD: Data were from 485 participants aged >60 years in the Oxford Renal Cohort Study with at least two eGFR tests. The proportion of study participants diagnosed and classified into different CKD stages using one and two positive tests were compared. Prevalence of CKD diagnosis and classification by CKD stage were compared when eGFR was calculated using MDRD and CKD-EPI equations. RESULTS: Participants included in the analysis had a mean age of 72.1 (±6.8) years and 57.0% were female. Use of a single screening test overestimated the proportion of people with CKD by around 25% no matter which equation was used, compared with the use of two tests. The mean eGFR was 1.4 ml/min/1.73 m(2) (95% CI = 1.1 to 1.6) higher using the CKD-EPI equation compared with the MDRD equation. More patients were diagnosed with CKD when using the MDRD equation, compared with the CKD-EPI equation, once (64% versus 63%, respectively) and twice (39% versus 38%, respectively), and 16 individuals, all of who had CKD stages 2 or 3A with MDRD, were reclassified as having a normal urinary ACR when using the CKD-EPI equation. CONCLUSION: Current guidance to use two eGFR measures to diagnose CKD remains appropriate in an older primary care population to avoid overdiagnosis. A change from MDRD to CKD-EPI equation could result in one in 12 patients with a CKD diagnosis with MDRD no longer having a diagnosis of CKD. Royal College of General Practitioners 2018-08 2018-07-03 /pmc/articles/PMC6058619/ /pubmed/29970394 http://dx.doi.org/10.3399/bjgp18X697937 Text en © British Journal of General Practice 2018 This article is Open Access: CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Research
Hirst, Jennifer A
Montes, Maria DLA Vazquez
Taylor, Clare J
Ordóñez-Mena, José M
Ogburn, Emma
Sharma, Vanshika
Shine, Brian
James, Tim
Hobbs, FD Richard
Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care
title Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care
title_full Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care
title_fullStr Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care
title_full_unstemmed Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care
title_short Impact of a single eGFR and eGFR-estimating equation on chronic kidney disease reclassification: a cohort study in primary care
title_sort impact of a single egfr and egfr-estimating equation on chronic kidney disease reclassification: a cohort study in primary care
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6058619/
https://www.ncbi.nlm.nih.gov/pubmed/29970394
http://dx.doi.org/10.3399/bjgp18X697937
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