ArticleDiabetology & metabolic syndrome2020
Glomerular filtration rate estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in type 1 diabetes based on genomic ancestry.
Article in Diabetology & metabolic syndrome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 10 citations in OpenAlex.
- Serum β2-microglobulin, cystatin-C, and urinary KIM-1 as predictors of early renal impairment in women with diabetes in pregnancy: a prospective cohort study.BMC endocrine disorders · 2026Article
- Type 1 diabetes in Brazil: a narrative overview of the Brazilian Type 1 Diabetes Study Group.Diabetology & metabolic syndrome · 2025Review
- Is race adjustment necessary to estimate glomerular filtration rate in South Brazilians?Journal of nephrology · 2024Article
- 2009 CKD-EPI glomerular filtration rate estimation in Black individuals outside the United States: a systematic review and meta-analysis.Clinical kidney journal · 2023Article
- Ancestry: How researchers use it and what they mean by it.Frontiers in genetics · 2023Article
- Recipient APOL1 risk alleles associate with death-censored renal allograft survival and rejection episodes.The Journal of clinical investigation · 2021Article
- Critical analysis of the estimated glomerular filtration rate.Jornal brasileiro de nefrologiaReview
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9 authors at 1 institution in 1 country.
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Abstract
backgroundBlack 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.
methodsThis 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 < 60 ml/min. GA were inferred using a panel of 46 AIM-INDEL, afterwards patients presenting an African GA ≥ 50% were selected.
resultsInitially, all patients with African GA ≥ 50% (n = 85) were considered as non-African Americans when calculating the eGFR and afterwards the ethnic correction factor was applied to recalculate the eGFR. CKD was present in 23 patients and 56.5% of them were redefined as having normal renal function after using the correction factor, mainly women [11 of the 13 patients (84.6%)], with GFR between 52-59.3 ml/min.
conclusionsMore than half of the patients in the study were reclassified to a normal renal function group, showing that GA may be an important tool to decide between the use of the ethnic correction factor in the CKD-EPI equation in a highly admixed population of patients with T1D. A large-scale study involving GA and eGFR in comparison to reference methods should be conducted to better establish whether or not the ethnic correction factor should be used in highly admixed populations.
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