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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.
Abstract:
Cardiovascular diseases (CVDs) are the leading cause of morbidity and mortality globally. Early detection and personalised prevention strategies are crucial for reducing the burden of CVD. The use of biomarkers plays a pivotal role in identifying individuals at risk and facilitating timely interventions. This rapid scoping review aims to identify and evaluate current research on biomarkers used for primary and secondary personalised prevention of CVD, highlighting evidence gaps and the integration of digital technologies. A comprehensive search was conducted in Medline and Embase databases from January 2020 to February 2023. Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and PRISMA-ScR guidelines were followed. A total of 775 studies were included, with ischemic heart disease (IHD) and stroke being the most investigated CVDs. Molecular, cellular, imaging, physiological, and anthropometric biomarkers were included. Molecular biomarkers, particularly genetic and biochemical, were the most researched. For secondary prevention, there was considerable research using imaging biomarkers. Genetic biomarker research was the most frequent category of biomarker identified, particularly using variant analysis and polygenic scores, followed by biochemical, imaging, and physiological biomarkers. There was also evidence of the integration of artificial intelligence to enhance the predictive capabilities of these biomarkers. Despite progress, research gaps were identified for less common CVDs, such as aortic aneurysm and nonrheumatic valvular heart disease, and limited research investigating other molecular biomarker types, such as epigenetics and transcriptomics.
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