Glomerular filtration rate estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in type 1 diabetes based on genomic ancestry

Autor: Marcela Haas Pizarro, Deborah Conte Santos, Laura Gomes Nunes Melo, Bianca Senger Vasconcelos Barros, Luiza Harcar Muniz, Luís Cristóvão Porto, Dayse Aparecida Silva, Rachel Bregman, Marilia Brito Gomes
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Diabetology & Metabolic Syndrome, Vol 12, Iss 1, Pp 1-7 (2020)
Druh dokumentu: article
ISSN: 1758-5996
DOI: 10.1186/s13098-020-00578-4
Popis: Abstract Background Black individuals have a great risk of developing chronic kidney disease (CKD) that is associated with high morbimortality, so it is important to classify them into the correct renal function group. Some equations used to estimate glomerular filtration rate (eGFR) divide patients only into two categories: African Americans and non-African Americans. The CKD-EPI equation was tested only in African Americans, and not Black patients from other regions, and takes into consideration self-reported color-race instead of genomic ancestry (GA) to determine the use of the ethnic correction factor. So far, this equation has not been evaluated in admixed populations, such as the Brazilian, using the percentage of GA to decide to apply the correction factor. The purpose of our study was to compare, in patients with type 1 diabetes (T1D), the eGFR calculated without the use of the correction factor, with the values obtained using the correction factor in patients presenting 50% or more of African GA. Methods This cross-sectional, multicenter study enrolled 1279 patients from all geographic regions of Brazil. The CKD-EPI equation was used and CKD was defined as eGFR
Databáze: Directory of Open Access Journals
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