Change in Cardiac Biomarkers and Risk of Incident Heart Failure and Atrial Fibrillation in CKD: The Chronic Renal

Nisha Bansal1, Leila R Zelnick1, Elsayed Z Soliman1

  • 1Kidney Research Institute, University of Washington, Seattle, WA.

Insights

Increases in N-terminal fragment of the prohormone brain natriuretic peptide (NT-proBNP) and soluble ST-2 (sST2) correlate with higher risks of heart failure (HF) and atrial fibrillation (AF) in chronic kidney disease (CKD) patients.

Area of Science:

  • Cardiology
  • Nephrology
  • Biomarker Research

Background:

  • Circulating cardiac biomarkers are crucial for understanding heart failure (HF) and atrial fibrillation (AF) mechanisms.
  • Single biomarker measurements show strong links to incident HF and AF in chronic kidney disease (CKD).
  • Longitudinal changes in biomarkers may offer deeper insights into cardiovascular disease (CVD) progression in CKD.

Purpose of the Study:

  • To investigate the association between longitudinal changes in specific cardiac biomarkers and the risk of incident HF and AF in patients with CKD.
  • To assess the predictive value of changes in NT-proBNP, hsTnT, galectin-3, GDF-15, and sST2 for future HF and AF events.

Main Methods:

  • Employed a case-cohort study design within the Chronic Renal Insufficiency Cohort (CRIC) study.
  • Measured biomarkers at baseline and 2-year follow-up in adults with CKD.
  • Utilized Cox proportional hazards regression to analyze associations between biomarker change categories and incident HF/AF.

Main Results:

  • Increased NT-proBNP levels over 2 years were linked to higher risks of both incident HF and AF.
  • Elevated sST2 levels were associated with increased HF risk, while decreased sST2 levels correlated with higher AF risk.
  • No significant associations were found between changes in hsTnT, galectin-3, or GDF-15 and incident HF or AF.

Conclusions:

  • Longitudinal increases in NT-proBNP and sST2 are significant predictors of incident HF and AF in the CKD population.
  • These findings highlight the potential of monitoring biomarker dynamics for risk stratification in CKD patients.
  • Further research is warranted to explore therapeutic strategies targeting these biomarkers to mitigate CVD risk in CKD.
Abstract

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