Cardiovascular disease and multifactorial risk: challenge of the 1980s

Area of Science:

• Cardiovascular Medicine
• Epidemiology
• Preventive Cardiology

Background:

• Atherosclerotic cardiovascular diseases (ASCVD) represent a major global health burden.
• Understanding the natural history and risk factors of ASCVD is crucial for effective prevention.
• The Framingham Heart Study provides long-term data on cardiovascular disease development.

Purpose of the Study:

• To review the natural history of ASCVD based on risk factor parameters.
• To emphasize the importance of a multifactorial approach in managing cardiovascular risk.
• To introduce practical tools for physicians to assess and manage patient risk.

Main Methods:

• Analysis of 18-year risk factor data from the Framingham Heart Study population.
• Development of a precise numerical risk evaluation system using five key parameters.
• Inclusion of high-density lipoprotein cholesterol as a multiplier in the numerical system.
• Creation of a simplified categorical checklist with cutoff values for risk factors.

Main Results:

• Identification of key risk factor parameters influencing the natural history of ASCVD.
• Validation of a numerical risk assessment tool incorporating total cholesterol, systolic blood pressure, diabetes mellitus, left ventricular hypertrophy, and smoking.
• Introduction of a high-density lipoprotein cholesterol multiplier for enhanced risk precision.
• Development of a user-friendly categorical checklist for rapid risk stratification.

Conclusions:

• A multifactorial approach is essential for effective management of cardiovascular risk factors.
• The proposed numerical evaluation system provides a precise method for calculating ASCVD risk.
• The categorical checklist offers a practical, easily memorized tool for identifying high-risk patients.
• These tools can aid physicians in proactive risk factor management and patient care.