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Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018
BACKGROUND: Standard equations for estimating glomerular filtration rate (eGFR) employ race multipliers, systematically inflating eGFR for Black patients. Such inflation is clinically significant because eGFR thresholds of 60, 30, and 20 ml/min/1.73m(2) guide kidney disease management. Racialized ad...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608882/ https://www.ncbi.nlm.nih.gov/pubmed/34849475 http://dx.doi.org/10.1016/j.eclinm.2021.101197 |
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author | Tsai, Jennifer W. Cerdeña, Jessica P. Goedel, William C. Asch, William S. Grubbs, Vanessa Mendu, Mallika L. Kaufman, Jay S. |
author_facet | Tsai, Jennifer W. Cerdeña, Jessica P. Goedel, William C. Asch, William S. Grubbs, Vanessa Mendu, Mallika L. Kaufman, Jay S. |
author_sort | Tsai, Jennifer W. |
collection | PubMed |
description | BACKGROUND: Standard equations for estimating glomerular filtration rate (eGFR) employ race multipliers, systematically inflating eGFR for Black patients. Such inflation is clinically significant because eGFR thresholds of 60, 30, and 20 ml/min/1.73m(2) guide kidney disease management. Racialized adjustment of eGFR in Black Americans may thereby affect their clinical care. In this study, we analyze and extrapolate national data to assess potential impacts of the eGFR race adjustment on qualification for kidney disease diagnosis, nephrologist referral, and transplantation listing. METHODS: Using population-representative cross-sectional data from the United States National Health and Nutrition Examination Survey (NHANES) from 2015-2018, eGFR values for Black Americans were calculated using the Modification of Diet in Renal Disease (MDRD) equation with and without the 1.21 race-specific coefficient using cohort data on age, sex, race, and serum creatinine. FINDINGS: Without the MDRD eGFR race adjustment, 3.3 million (10.4%) more Black Americans would reach a diagnostic threshold for Stage 3 Chronic Kidney Disease, 300,000 (0.7%) more would qualify for beneficial nephrologist referral, and 31,000 (0.1%) more would become eligible for transplant evaluation and waitlist inclusion. INTERPRETATION: These findings suggest eGFR race coefficients may contribute to racial differences in the management of kidney. We provide recommendations for addressing this issue at institutional and individual levels. FUNDING: No external funding was received for this study. |
format | Online Article Text |
id | pubmed-8608882 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86088822021-11-29 Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018 Tsai, Jennifer W. Cerdeña, Jessica P. Goedel, William C. Asch, William S. Grubbs, Vanessa Mendu, Mallika L. Kaufman, Jay S. EClinicalMedicine Research paper BACKGROUND: Standard equations for estimating glomerular filtration rate (eGFR) employ race multipliers, systematically inflating eGFR for Black patients. Such inflation is clinically significant because eGFR thresholds of 60, 30, and 20 ml/min/1.73m(2) guide kidney disease management. Racialized adjustment of eGFR in Black Americans may thereby affect their clinical care. In this study, we analyze and extrapolate national data to assess potential impacts of the eGFR race adjustment on qualification for kidney disease diagnosis, nephrologist referral, and transplantation listing. METHODS: Using population-representative cross-sectional data from the United States National Health and Nutrition Examination Survey (NHANES) from 2015-2018, eGFR values for Black Americans were calculated using the Modification of Diet in Renal Disease (MDRD) equation with and without the 1.21 race-specific coefficient using cohort data on age, sex, race, and serum creatinine. FINDINGS: Without the MDRD eGFR race adjustment, 3.3 million (10.4%) more Black Americans would reach a diagnostic threshold for Stage 3 Chronic Kidney Disease, 300,000 (0.7%) more would qualify for beneficial nephrologist referral, and 31,000 (0.1%) more would become eligible for transplant evaluation and waitlist inclusion. INTERPRETATION: These findings suggest eGFR race coefficients may contribute to racial differences in the management of kidney. We provide recommendations for addressing this issue at institutional and individual levels. FUNDING: No external funding was received for this study. Elsevier 2021-11-19 /pmc/articles/PMC8608882/ /pubmed/34849475 http://dx.doi.org/10.1016/j.eclinm.2021.101197 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Tsai, Jennifer W. Cerdeña, Jessica P. Goedel, William C. Asch, William S. Grubbs, Vanessa Mendu, Mallika L. Kaufman, Jay S. Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018 |
title | Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018 |
title_full | Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018 |
title_fullStr | Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018 |
title_full_unstemmed | Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018 |
title_short | Evaluating the Impact and Rationale of Race-Specific Estimations of Kidney Function: Estimations from U.S. NHANES, 2015-2018 |
title_sort | evaluating the impact and rationale of race-specific estimations of kidney function: estimations from u.s. nhanes, 2015-2018 |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608882/ https://www.ncbi.nlm.nih.gov/pubmed/34849475 http://dx.doi.org/10.1016/j.eclinm.2021.101197 |
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