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A thorough health history and physical assessment are essential for identifying cardiovascular disease (CVD) symptoms and distinguishing them from other health issues.
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Calcium-Scoring CT ScanA calcium-scoring CT scan, also known as coronary artery calcium (CAC) scan, detects calcium deposits in the coronary arteries. This test assesses the risk of coronary artery disease (CAD), which can lead to cardiovascular events such as angina, heart failure, and sudden cardiac arrest.A calcium-scoring CT scan is generally recommended for individuals at intermediate risk of CAD without symptoms. It includes:Men aged 40-75 and women aged 50-75: Especially those with a...
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[Practicality of cardiovascular risk functions].

Jaume Marrugat1, Roberto Elosua2, Gloria Icaza3

  • 1Grupo de Epidemiología y Genética Cardiovascular, Instituto Hospital del Mar de Investigaciones Médicas, Barcelona, Cataluña, España. Address: Instituto Hospital del Mar de Investigaciones Médicas, Doctor Aiguader 88, Barcelona, Cataluña, España.

Medwave
|January 6, 2017
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Summary

Improving cardiovascular disease prevention requires better risk assessment. Current risk functions identify high-risk individuals for coronary artery disease, guiding targeted interventions and enhancing patient motivation for lifestyle changes.

Keywords:
cardiovascular diseaserisks factorscardiovascular risk

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Area of Science:

  • Cardiology
  • Preventive Medicine
  • Health Informatics

Background:

  • Cardiovascular disease prevention strategies need enhancement due to slow incidence reduction.
  • Existing risk functions use classical factors (age, sex, smoking, diabetes, blood pressure, lipids) for population screening, primarily for coronary artery disease.
  • These functions are crucial for primary prevention clinical guidelines, stratifying patients to optimize therapeutic efforts.

Purpose of the Study:

  • To refine cardiovascular disease prevention strategies by improving risk assessment.
  • To highlight the importance of accurate coronary artery disease risk stratification for targeted interventions.
  • To explore methods for enhancing patient motivation in adhering to preventive measures.

Main Methods:

  • Development of risk functions based on classical cardiovascular risk factors in long-term cohorts (>10 years).
  • Analysis of patient risk strata to identify optimal groups for intervention (high-risk).
  • Evaluation of communication strategies (relative risk, vascular age) to improve patient compliance.

Main Results:

  • Classical risk functions are reasonably precise for coronary artery disease screening.
  • Approximately 20% of adults aged 35-74 have intermediate risk, necessitating reclassification.
  • Intermediate-risk individuals account for 35% of coronary artery disease events.
  • Biomarkers are under investigation to improve risk function precision.

Conclusions:

  • Current risk functions are valuable for primary prevention but require refinement.
  • Accurate risk communication can motivate patients towards lifestyle and drug modifications.
  • Integrating automated risk calculation into health systems can support preventive care providers.