Prognostic Value of Cardiovascular Biomarkers in the Population

Johannes Tobias Neumann1,2,3,4, Raphael Twerenbold1,2,3, Jessica Weimann1,2

  • 1Department of Cardiology, University Heart and Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

JAMA
|May 13, 2024
PubMed

Insights

Adding cardiovascular biomarkers like high-sensitivity cardiac troponin I and N-terminal pro-B-type natriuretic peptide to risk factors improved atherosclerotic cardiovascular disease prediction, especially for heart failure and mortality in older adults.

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Biomarker Research

Background:

  • Identifying individuals at high risk for atherosclerotic cardiovascular disease (ASCVD) is crucial for effective primary prevention strategies.
  • Established risk factors are used to assess ASCVD risk, but improved risk stratification is needed.

Purpose of the Study:

  • To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors for ASCVD.
  • To assess the incremental predictive value of specific biomarkers for ASCVD and related outcomes.

Main Methods:

  • Individual-level data from 28 population-based cohorts across 12 countries were analyzed.
  • High-sensitivity cardiac troponin I, high-sensitivity cardiac troponin T, NT-proBNP, BNP, and hs-CRP were measured.
  • Associations with incident ASCVD, all-cause mortality, heart failure, ischemic stroke, and myocardial infarction were evaluated using Cox regression and reclassification analyses.

Main Results:

  • All measured biomarkers were significantly associated with incident ASCVD and secondary outcomes.
  • Adding single biomarkers to established risk factors improved risk prediction (C statistic).
  • A combination of hs-cTnI, NT-proBNP, and hs-CRP improved 10-year ASCVD prediction in individuals <65 years and showed greater improvement for heart failure and all-cause mortality, particularly in those aged ≥65 years.

Conclusions:

  • Cardiovascular biomarkers are strongly associated with cardiovascular events and mortality.
  • While biomarkers offer a modest improvement in ASCVD risk prediction, their value is more significant for predicting heart failure and mortality.
  • Biomarker incorporation enhances risk prediction models, especially in older populations and for specific cardiovascular outcomes.
Abstract

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