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Use of Race in Kidney Function Estimation: Lessons Learned and the Path Toward Health Justice.
Mohottige, Dinushika; Olabisi, Opeyemi; Boulware, L Ebony.
Afiliação
  • Mohottige D; Division of Nephrology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA; email: dm26@duke.edu.
  • Olabisi O; Center for Community and Population Health Improvement, Clinical and Translational Science Institute, Duke University School of Medicine, Durham, North Carolina, USA.
  • Boulware LE; Division of General Internal Medicine, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.
Annu Rev Med ; 74: 385-400, 2023 01 27.
Article em En | MEDLINE | ID: mdl-36706748
ABSTRACT
In 2020, the nephrology community formally interrogated long-standing race-based clinical algorithms used in the field, including the kidney function estimation equations. A comprehensive understanding of the history of kidney function estimation and racial essentialism is necessary to understand underpinnings of the incorporation of a Black race coefficient into prior equations. We provide a review of this history, as well as the considerations used to develop race-free equations that are a guidepost for a more equity-oriented, scientifically rigorous future for kidney function estimation and other clinical algorithms and processes in which race may be embedded as a variable.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Grupos Raciais / Rim Limite: Humans Idioma: En Revista: Annu Rev Med Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Grupos Raciais / Rim Limite: Humans Idioma: En Revista: Annu Rev Med Ano de publicação: 2023 Tipo de documento: Article