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August 1, 2025Canadian Journal of Kidney Health and DiseaseOpen Access

Cardiometabolic Biomarkers and Prediction of Kidney Disease Progression: The eGFR Cohort Study

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Authors

EBElizabeth BarrFBFederica BarziPMPhillip Mills

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Overview

Observational cohort study reveals cardiometabolic biomarkers predict kidney disease progression in individuals with diabetes, suggesting clinical implications for monitoring.

Key Points

  • Higher baseline hs-TnT and sTNFR-1 predicted declines in eGFR among those with diabetes, indicating key biomarkers impact kidney health.
  • The study assessed 496 Aboriginal and Torres Strait Islander participants over a median of 3 years, finding biomarkers explained up to 27% of eGFR decline variance.
  • Cox proportional hazards regression calculated the risk of combined kidney health outcomes linked to cardiometabolic biomarkers, emphasizing their prognostic value.
  • This analysis highlights the essential role of inflammatory and cardiovascular biomarkers in predicting kidney function decline, especially in diabetes.

Cite This Study

Barr et al. (2025) studied this question.

synapsesocial.com/papers/68af56f4ad7bf08b1eadce85https://doi.org/10.1177/20543581251363126
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