An analytics based clinical decision support system for CVD risk assessment and management

Area of Science:

• Cardiology
• Public Health
• Preventive Medicine

Background:

• Cardiovascular disease (CVD) is a leading global cause of mortality and disability.
• Sudden cardiovascular events often occur before medical intervention is possible.
• Risk factor modification is crucial for reducing CVD events and premature death.

Purpose of the Study:

• To implement India-specific World Health Organization-International Society of Hypertension (WHO-ISH) guidelines for cardiovascular risk stratification.
• To provide a simplified approach for identifying high-risk individuals for heart attack prevention.
• To guide interventions based on individual risk profiles.

Main Methods:

• Utilized India-specific WHO-ISH guidelines for risk stratification.
• Categorized subjects based on their cardiovascular risk profile.
• Developed a simplified approach for high-risk individual detection.

Main Results:

• Successfully stratified subjects according to their cardiovascular risk.
• Provided clear guidance for the prevention of heart attack.
• Identified individuals requiring lifestyle coaching, medication management, and further testing.

Conclusions:

• The implemented approach facilitates early detection of individuals at cardiovascular risk.
• Timely interventions are crucial for effective cardiovascular event prevention.
• This strategy motivates individuals towards adopting recommended lifestyle changes for better heart health.