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A Comparative Study of Cardiovascular Risk Calculation Systems and the New PREVENT Model
Yasemin Atıcı1, Makbule Beyza Şen2, Doğan Yücel1
1Department of Medical Biochemistry, Faculty of Medicine, Lokman Hekim University, Ankara, Türkiye.
Insights
The PREVENT system offers more personalized cardiovascular disease (CVD) risk assessment than Framingham or Reynolds by including additional markers. This improved risk classification aids in targeted interventions for CVD prevention.
Area of Science:
- Cardiology
- Preventive Medicine
- Biostatistics
Background:
- Cardiovascular diseases (CVD) represent a significant, yet largely preventable, global cause of mortality.
- Individual CVD risk is influenced by modifiable and non-modifiable factors.
- Established risk assessment tools include Framingham, Reynolds, and the PREVENT system.
Purpose of the Study:
- To compare the cardiovascular disease (CVD) risk scores generated by the Framingham, Reynolds, and PREVENT systems.
- To evaluate the impact of common risk factors on CVD risk scores across these three systems.
Main Methods:
- Comparative analysis of CVD risk scores from Framingham, Reynolds, and PREVENT.
- Identification of shared risk factors: age, gender, smoking status, HDL cholesterol, total cholesterol, and systolic blood pressure.
- Presentation of comparative risk scores stratified by gender and smoking status.
Main Results:
- The PREVENT system provides more individualized CVD risk assessments.
- PREVENT incorporates renal, metabolic, and social markers, alongside age of risk, for a detailed evaluation.
- Observed differences in risk scoring across the three systems.
Conclusions:
- The PREVENT system's comprehensive approach may enhance the accurate classification of both low- and high-risk patients.
- Improved patient stratification can facilitate tailored interventions and treatments, potentially altering the trajectory of cardiovascular disease.
- PREVENT's detailed assessment may lead to more effective CVD management strategies.
Background:
Cardiovascular diseases (CVD) are a largely preventable cause of death worldwide. There are many risk factors that influence CVD, some of which are modifi-able and others non-modifiable. Several systems, such as the widely used Framingham, Reynolds, and the most recently developed Predicting Risk of Cardiovascular Disease EVENTs (PREVENT), are used to calculate an individual's CVD risk based on the effects of these risk factors.
Methods:
This study compared CVD risk scores calculated using the Framingham, Reynolds, and PREVENT systems. The risk factors common to these 3 systems were determined to be age, gender, smoking status, high-density lipoprotein cholesterol, total cholesterol, and systolic blood pressure, and the effects of these risk factors on CVD risk were evaluated. The numerical risk scores obtained because of the effects of risk factors were presented comparatively in tables created based on gender and smoking status.
Results:
According to the results obtained, it was observed that the PREVENT system provides more individualized results by including renal, metabolic, and social markers in the calculation and provides a more detailed assessment by also considering the age of risk.
Conclusion:
These features may enable PREVENT to classify both low- and high-risk patients more clearly. This classification of patients may contribute to changing the course of CVD, a major global disease, by enabling appropriate interventions and treatments.
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