The Three Principles of the CardiAction Risk Algorithm

1. Central Systolic Pressure as a Key Indicator of Cardiovascular Risk

Scientific research has consistently validated central systolic pressure as a strong predictor of future cardiovascular events. Unlike traditional brachial blood pressure readings, central systolic pressure more accurately reflects the pressure exerted on vital organs, including the heart and brain. Elevated central systolic pressure is widely recognised as a reliable marker of increased cardiovascular risk.

2. Lowering Central Systolic Pressure Reduces Cardiovascular Risk

Clinical evidence supports that reducing central systolic pressure is an effective strategy in preventing major cardiac events such as heart attacks and strokes. Addressing elevated central systolic pressure through lifestyle modifications, medications, or targeted interventions can significantly lower the risk of cardiovascular disease.

3. Algorithmic Estimation Provides a Reliable Proxy for Intra-Aortic Pressure

Advancements in algorithmic modelling have enabled the accurate, non-invasive estimation of central systolic pressure. Studies have demonstrated that these algorithm-driven assessments closely correlate with true intra-aortic systolic pressure, making them a powerful and practical tool for cardiovascular risk assessment.

Why Central Systolic Pressure Matters in Cardiovascular Disease Prevention

The early detection and management of elevated central systolic pressure can play a pivotal role in reducing cardiovascular disease (CVD) incidence. Algorithmic assessment of this key biomarker should be considered a crucial step in identifying at-risk individuals before major cardiovascular events occur.

Additional Considerations:

• Multifactorial Nature of Central Systolic Hypertension: It arises from both independent and interdependent physiological factors, including arterial stiffness, vascular resistance, and autonomic function.
• Preventive Potential of Early Detection: Identifying pre-clinical elevations in central systolic pressure allows for proactive intervention before long-term cardiovascular damage occurs.
• Enhanced Predictive Accuracy with AI Integration: Incorporating diverse biometric data sources and AI-driven analytics can further refine risk assessments, improving predictive precision.

CardiAction: Beyond Traditional Risk Assessment

The CardiAction Risk Algorithm goes beyond standard CVD risk calculators by integrating multiple hemodynamic and physiological parameters that influence central systolic pressure.

Rather than relying on isolated risk factors, the CardiAction algorithm assesses the dynamic interplay of multiple cardiovascular indicators, providing a comprehensive and highly accurate risk evaluation. This multi-layered approach delivers more predictive and actionable insights, empowering individuals and healthcare professionals to make informed decisions about preventive heart health strategies.

Why CardiAction?

• Non-invasive and scientifically validated: A reliable alternative to traditional invasive measurements.
• Data-driven and personalised: Harnesses AI to refine risk predictions.
• Clinically relevant: Aligns with current best practices in cardiovascular risk assessment and prevention.

By leveraging advanced biometric modelling, CardiAction enables early intervention, helping individuals take control of their cardiovascular health before significant issues arise.