Impact of Creatinine-eGFR Equations on Chronic Kidney Disease Stratification in a Ghanaian Tertiary Care Setting.

Kidney diseases disproportionately affect people of African descent, yet current estimated glomerular filtration rate (eGFR) equations lack accuracy in African populations. The widely used the race-adjusted Modification of Diet in Renal Disease (MDRD) equation underestimates GFR in African individuals with kidney disease, while newer race-agnostic equations, such as the 2021 CKD-EPI and European Kidney Function Consortium (EKFC) equations, require further validation in these populations. This study evaluated five creatinine-based eGFR equations in a Ghanaian population to assess their impact on chronic kidney disease (CKD) stratification. The study utilized the MDRD, MDRD without race coefficient (MDRDnr), CKD-EPI 2009 and 2021, and EKFC equations, to compare stratification into GFR stages per KDIGO guidelines using creatinine results from adult patients seen at the University of Ghana Medical Centre (January 2021-December 2023). Among 10,864 creatinine results from 6172 females (56.8%) and 4692 males (43.2%), the MDRDnr yielded the lowest median eGFR (76.4 mL/min/1.73 m<sup>2</sup>), while MDRD had the highest. The MDRDnr identified the highest prevalence of reduced eGFR (<60 mL/min/1.73 m<sup>2</sup>) at 19.9%, followed by EKFC (14.8%), 2021 (11%), CKD-EPI 2009 (10.6%), and MDRD (8.8%). Notably, one-third of individuals with reduced eGFR (per EKFC) were under 60 years old. The EKFC equation identified more cases of reduced eGFR than both CKD-EPI equations. The MDRDnr and EKFC equations detected the highest proportion of reduced eGFR. However, the EKFC has been shown in other studies to be more accurate. Further validation and adoption of the EKFC equation are recommended for improved CKD diagnosis in Ghana.

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PubMed
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2025-12-01
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Chronic Kidney Disease and Diabetes
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article

Impact of Creatinine-eGFR Equations on Chronic Kidney Disease Stratification in a Ghanaian Tertiary Care Setting.

Catherine L Omosule, George B. Kyei, Patrick Seidu, Mildred Martey
PubMed
Chronic Kidney Disease and Diabetes
article

Impact of Creatinine-eGFR Equations on Chronic Kidney Disease Stratification in a Ghanaian Tertiary Care Setting.

Catherine L Omosule, George B. Kyei, Patrick Seidu, Mildred Martey
article en

Abstract

Kidney diseases disproportionately affect people of African descent, yet current estimated glomerular filtration rate (eGFR) equations lack accuracy in African populations. The widely used the race-adjusted Modification of Diet in Renal Disease (MDRD) equation underestimates GFR in African individuals with kidney disease, while newer race-agnostic equations, such as the 2021 CKD-EPI and European Kidney Function Consortium (EKFC) equations, require further validation in these populations. This study evaluated five creatinine-based eGFR equations in a Ghanaian population to assess their impact on chronic kidney disease (CKD) stratification. The study utilized the MDRD, MDRD without race coefficient (MDRDnr), CKD-EPI 2009 and 2021, and EKFC equations, to compare stratification into GFR stages per KDIGO guidelines using creatinine results from adult patients seen at the University of Ghana Medical Centre (January 2021-December 2023). Among 10,864 creatinine results from 6172 females (56.8%) and 4692 males (43.2%), the MDRDnr yielded the lowest median eGFR (76.4 mL/min/1.73 m<sup>2</sup>), while MDRD had the highest. The MDRDnr identified the highest prevalence of reduced eGFR (<60 mL/min/1.73 m<sup>2</sup>) at 19.9%, followed by EKFC (14.8%), 2021 (11%), CKD-EPI 2009 (10.6%), and MDRD (8.8%). Notably, one-third of individuals with reduced eGFR (per EKFC) were under 60 years old. The EKFC equation identified more cases of reduced eGFR than both CKD-EPI equations. The MDRDnr and EKFC equations detected the highest proportion of reduced eGFR. However, the EKFC has been shown in other studies to be more accurate. Further validation and adoption of the EKFC equation are recommended for improved CKD diagnosis in Ghana.

PubMedVol. 36(4)
University of Ghana (GH), Washington University in St. Louis (US), Noguchi Memorial Institute for Medical Research (GH)
Good health and well-being
Openalex Percentile: Top 30%
Chronic Kidney Disease and Diabetes
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