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Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population
BACKGROUND: While American nephrology societies recommend using the 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) estimated glomerular filtration rate (eGFR) equation without a Black race coefficient, it is unknown how this would impact disease distribution, prognosis and kidney f...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869854/ https://www.ncbi.nlm.nih.gov/pubmed/35689668 http://dx.doi.org/10.1093/ndt/gfac197 |
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author | Fu, Edouard L Coresh, Josef Grams, Morgan E Clase, Catherine M Elinder, Carl-Gustaf Paik, Julie Ramspek, Chava L Inker, Lesley A Levey, Andrew S Dekker, Friedo W Carrero, Juan J |
author_facet | Fu, Edouard L Coresh, Josef Grams, Morgan E Clase, Catherine M Elinder, Carl-Gustaf Paik, Julie Ramspek, Chava L Inker, Lesley A Levey, Andrew S Dekker, Friedo W Carrero, Juan J |
author_sort | Fu, Edouard L |
collection | PubMed |
description | BACKGROUND: While American nephrology societies recommend using the 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) estimated glomerular filtration rate (eGFR) equation without a Black race coefficient, it is unknown how this would impact disease distribution, prognosis and kidney failure risk prediction in predominantly White non-US populations. METHODS: We studied 1.6 million Stockholm adults with serum/plasma creatinine measurements between 2007 and 2019. We calculated changes in eGFR and reclassification across KDIGO GFR categories when changing from the 2009 to 2021 CKD-EPI equation; estimated associations between eGFR and the clinical outcomes kidney failure with replacement therapy (KFRT), (cardiovascular) mortality and major adverse cardiovascular events using Cox regression; and investigated prognostic accuracy (discrimination and calibration) of both equations within the Kidney Failure Risk Equation. RESULTS: Compared with the 2009 equation, the 2021 equation yielded a higher eGFR by a median [interquartile range (IQR)] of 3.9 (2.9–4.8) mL/min/1.73 m(2), which was larger at older age and for men. Consequently, 9.9% of the total population and 36.2% of the population with CKD G3a–G5 was reclassified to a higher eGFR category. Reclassified individuals exhibited a lower risk of KFRT, but higher risks of all-cause/cardiovascular death and major adverse cardiovascular events, compared with non-reclassified participants of similar eGFR. eGFR by both equations strongly predicted study outcomes, with equal discrimination and calibration for the Kidney Failure Risk Equation. CONCLUSIONS: Implementing the 2021 CKD-EPI equation in predominantly White European populations would raise eGFR by a modest amount (larger at older age and in men) and shift a major proportion of CKD patients to a higher eGFR category. eGFR by both equations strongly predicted outcomes. |
format | Online Article Text |
id | pubmed-9869854 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98698542023-01-23 Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population Fu, Edouard L Coresh, Josef Grams, Morgan E Clase, Catherine M Elinder, Carl-Gustaf Paik, Julie Ramspek, Chava L Inker, Lesley A Levey, Andrew S Dekker, Friedo W Carrero, Juan J Nephrol Dial Transplant Original Article BACKGROUND: While American nephrology societies recommend using the 2021 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) estimated glomerular filtration rate (eGFR) equation without a Black race coefficient, it is unknown how this would impact disease distribution, prognosis and kidney failure risk prediction in predominantly White non-US populations. METHODS: We studied 1.6 million Stockholm adults with serum/plasma creatinine measurements between 2007 and 2019. We calculated changes in eGFR and reclassification across KDIGO GFR categories when changing from the 2009 to 2021 CKD-EPI equation; estimated associations between eGFR and the clinical outcomes kidney failure with replacement therapy (KFRT), (cardiovascular) mortality and major adverse cardiovascular events using Cox regression; and investigated prognostic accuracy (discrimination and calibration) of both equations within the Kidney Failure Risk Equation. RESULTS: Compared with the 2009 equation, the 2021 equation yielded a higher eGFR by a median [interquartile range (IQR)] of 3.9 (2.9–4.8) mL/min/1.73 m(2), which was larger at older age and for men. Consequently, 9.9% of the total population and 36.2% of the population with CKD G3a–G5 was reclassified to a higher eGFR category. Reclassified individuals exhibited a lower risk of KFRT, but higher risks of all-cause/cardiovascular death and major adverse cardiovascular events, compared with non-reclassified participants of similar eGFR. eGFR by both equations strongly predicted study outcomes, with equal discrimination and calibration for the Kidney Failure Risk Equation. CONCLUSIONS: Implementing the 2021 CKD-EPI equation in predominantly White European populations would raise eGFR by a modest amount (larger at older age and in men) and shift a major proportion of CKD patients to a higher eGFR category. eGFR by both equations strongly predicted outcomes. Oxford University Press 2022-06-11 /pmc/articles/PMC9869854/ /pubmed/35689668 http://dx.doi.org/10.1093/ndt/gfac197 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the ERA. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Article Fu, Edouard L Coresh, Josef Grams, Morgan E Clase, Catherine M Elinder, Carl-Gustaf Paik, Julie Ramspek, Chava L Inker, Lesley A Levey, Andrew S Dekker, Friedo W Carrero, Juan J Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population |
title | Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population |
title_full | Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population |
title_fullStr | Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population |
title_full_unstemmed | Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population |
title_short | Removing race from the CKD-EPI equation and its impact on prognosis in a predominantly White European population |
title_sort | removing race from the ckd-epi equation and its impact on prognosis in a predominantly white european population |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869854/ https://www.ncbi.nlm.nih.gov/pubmed/35689668 http://dx.doi.org/10.1093/ndt/gfac197 |
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