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Why Imported Models Fall Short
Currently, the equations and diagnostic tools used to
detect CKD in African settings are often developed in
Europe, North America, or Asia. These tools do not
always reflect the genetic, dietary, and environmental
differences present in African populations. For
example, creatinine-based equations used to estimate
kidney function can be influenced by muscle mass
and nutrition, leading to inaccurate results if applied
without adjustment.
When diagnostic tools are not tailored to local
populations, people may be misclassified, either falsely
reassured or incorrectly diagnosed. Misdiagnosis
delays early treatment, wastes limited resources,
and can worsen health outcomes. Accurate, locally
validated tools are critical for timely detection and
effective intervention.
Building African Solutions
Addressing CKD requires African-led research that
generates context-specific evidence. The CKD-Africa
Collaboration, led by the SAMRC Non-Communicable
Diseases Research Unit, is working to harmonise data
from across the continent. By standardising definitions,
measuring kidney function consistently, and tracking
trends over time, the collaboration aims to provide
reliable information for policymakers, clinicians,
and communities. Researchers are also developing
biobanks and exploring population-specific biomarkers
to support early diagnosis and risk prediction. This
approach allows interventions to be better targeted,
reducing preventable complications and treatment
costs. Strengthening genomic and epidemiological
capacity ensures that solutions are sustainable and
locally driven.
For individuals and communities, these efforts mean
earlier detection, better access to care, and improved
understanding of how lifestyle, environment, and
genetics interact to affect kidney health. CKD in Africa
illustrates a broader lesson: health solutions are most
effective when they are developed locally, informed by
real-world experience, and supported by strong policy
and community engagement.
THE COMMUNITY ISSUE 21

