Biomarkers for Personalised Primary or Secondary Prevention in Cardiovascular Diseases: A Rapid Scoping Review

Chantal Babb de Villiers1, Elena Plans-Beriso2,3, Chaitanya Erady1

  • 1PHG Foundation, University of Cambridge, Cambridge CB2 8RN, UK.

Insights

Biomarkers are key for early cardiovascular disease (CVD) detection and personalized prevention. Research highlights genetic and biochemical markers, with AI integration, but gaps exist for rarer conditions.

Area of Science:

  • Cardiology
  • Biomarker Research
  • Preventive Medicine

Background:

  • Cardiovascular diseases (CVDs) are a leading global cause of death.
  • Early detection and personalized prevention are vital for reducing CVD burden.
  • Biomarkers are crucial for risk identification and timely intervention.

Purpose of the Study:

  • To review current research on biomarkers for primary and secondary CVD prevention.
  • To identify evidence gaps and the role of digital technologies in CVD biomarker research.
  • To evaluate the application of various biomarker types in CVD management.

Main Methods:

  • Rapid scoping review of Medline and Embase databases (Jan 2020 - Feb 2023).
  • Adherence to Joanna Briggs Institute (JBI) and PRISMA-ScR guidelines.
  • Inclusion of 775 studies investigating molecular, cellular, imaging, physiological, and anthropometric biomarkers.

Main Results:

  • Genetic and biochemical biomarkers were most researched, followed by imaging and physiological types.
  • Ischemic heart disease (IHD) and stroke were the most studied CVDs.
  • Artificial intelligence (AI) is increasingly integrated to enhance biomarker predictive power.

Conclusions:

  • Genetic and biochemical biomarkers show significant promise for CVD prevention.
  • Research gaps exist for less common CVDs and emerging molecular biomarker types (e.g., epigenetics).
  • Further investigation is needed to fully leverage biomarkers and digital technologies for personalized CVD care.

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