Cardiovascular risk
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Cardiovascular Risk Factors: Traditional and Non-Traditional
Cardiovascular risk is influenced by a combination of traditional and non-traditional factors. Traditional risk factors include age, hypertension, dyslipidemia, diabetes, smoking, obesity, and physical inactivity. These are well-established predictors of cardiovascular disease and are the main targets for prevention and treatment strategies Payne2012Anderson1991López‐Bueno2023+2 MORE. Non-traditional risk factors, such as chronic kidney disease, chronic inflammation, environmental exposures, psychosocial factors, and genetic markers, are increasingly recognized for their role in modifying cardiovascular risk and may provide additional insights for personalized care Payne2012Perone2025. Early detection and management of both types of risk factors, even in childhood, are crucial for reducing the future burden of cardiovascular disease .
Global Prevalence of Cardiovascular Risk Factors
Recent global analyses show that cardiovascular risk factors are highly prevalent worldwide. Insufficient physical activity affects about 26% of people, poor diet 34%, nicotine exposure 15%, insufficient sleep 39%, obesity 17%, dyslipidemia 34%, diabetes 12%, and hypertension 29%. These findings highlight the need for prevention strategies targeting lifestyle factors, especially sleep quality and diet, as well as addressing the high rates of hypertension in both children and adults .
Risk Prediction Models and Their Limitations
Several cardiovascular risk prediction models, such as the Framingham equation, SCORE, QRISK, and WHO/ISH charts, are used to estimate an individual's risk of developing cardiovascular disease Payne2012Anderson1991Carnall2000+1 MORE. These models incorporate multiple risk factors and help guide clinical decision-making and resource allocation. However, their predictive power can be limited, especially when applied to populations different from those in which they were developed, leading to possible over- or underestimation of risk Payne2012Farzadfar2019. There is a growing emphasis on developing and validating population-specific models to improve accuracy and relevance .
Genetic and Polygenic Risk in Cardiovascular Disease
Genetic factors play a significant role in cardiovascular risk. Polygenic risk scores, which aggregate the effects of many genetic variants, are becoming more common in research and clinical settings. These scores can help identify individuals at higher risk earlier and may enable more tailored prevention strategies. However, the integration of genetic information into routine risk assessment is still evolving, and further research is needed to clarify its clinical utility Payne2012O’Sullivan2022Perone2025.
Lifetime and Age-Specific Cardiovascular Risk
The burden of cardiovascular risk factors over a lifetime has a profound impact on disease outcomes. Individuals with optimal risk profiles in midlife have substantially lower lifetime risks of cardiovascular events compared to those with multiple risk factors. These differences are consistent across different races and birth cohorts, emphasizing the importance of maintaining healthy risk profiles throughout life . Current models often focus on 10-year risk, which may underestimate long-term risk, especially in younger individuals and women. Lifetime risk prediction is gaining attention as a more comprehensive approach Farzadfar2019Berry2012.
Communicating Cardiovascular Risk
Effective communication of cardiovascular risk is essential for patient understanding and engagement. Many patients find risk scores difficult to interpret or of limited practical value, and may rely on informal estimates or personal beliefs. Clinicians face challenges in conveying risk information, including addressing patient anxiety and limited understanding. Communication strategies that provide context or comparison points are more effective, and emotional appeals may be as important as rational explanations in influencing decisions .
Conclusion
Cardiovascular risk is shaped by a complex interplay of traditional and non-traditional factors, with significant global prevalence and impact. While risk prediction models and genetic profiling offer valuable tools for assessment and prevention, their limitations highlight the need for ongoing research, population-specific validation, and improved communication strategies. Early detection, personalized care, and targeted prevention remain key to reducing the global burden of cardiovascular disease Payne2012Anderson1991Farzadfar2019+5 MORE.
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