Cardiovascular risk assessment: a global perspective

Dong Zhao1, Jing Liu1, Wuxiang Xie1

  • 1Department of Epidemiology, Beijing An Zhen Hospital, Capital Medical University, The Key Laboratory of Remodeling-Related Cardiovascular Diseases, Ministry of Education, Beijing Institute of Heart, Lung and Blood Vessel Diseases, 2 Anzhen Road, Chaoyang District, Beijing 100029, China.

Insights

Early identification of cardiovascular disease (CVD) risk is crucial for primary prevention. This review examines global CVD risk assessment models and guidelines, highlighting limitations for non-Western populations and guiding low-to-middle-income countries.

Area of Science:

  • Cardiology
  • Public Health
  • Epidemiology

Background:

  • Cardiovascular diseases (CVD) pose a significant global health burden.
  • Early identification of high-risk individuals is key for primary CVD prevention.
  • Current CVD risk-assessment models are often region-specific (e.g., USA, Europe).

Purpose of the Study:

  • To review the global landscape of CVD risk-assessment models and clinical guidelines.
  • To address the limitations of existing models for diverse geographical regions and ethnic populations.
  • To provide guidance for developing and validating region-specific CVD risk-assessment tools.

Main Methods:

  • Review of existing CVD risk-assessment models and clinical guidelines.
  • Analysis of model applicability across different geographical regions and ethnic groups.
  • Comparison of risk-assessment recommendations in developed versus developing countries.

Main Results:

  • Many established CVD risk models may not be suitable for populations outside the USA and Europe.
  • There is a need for localized CVD risk-assessment tools and guidelines.
  • Clinical guidelines show significant differences between developed and developing nations.

Conclusions:

  • Global CVD risk assessment requires tailored approaches beyond existing Western-centric models.
  • Low-to-middle-income countries need support in developing or validating local CVD risk-assessment models.
  • Adapting clinical guidelines to local requirements is essential for effective CVD prevention.

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