Multiple step-variable pathway hypothesis: a reason why predictions fail in atherosclerosis

Area of Science:

• Cardiovascular science and disease progression modeling.

Background:

• Individual cardiovascular risk factors have limited predictive power for adverse events.
• Current risk prediction algorithms miscategorize a substantial portion of the population, leading to suboptimal management.

Purpose of the Study:

• To propose a new hypothesis for atherogenesis, viewing it as a multi-step process.
• To suggest that critical transitions in atherogenesis are driven by 'bundles' of risk factors, which may vary between individuals and stages.

Main Methods:

• Conceptual framework based on multi-step atherogenesis.
• Hypothesizing stage-dependent impact of risk factors and varying intervention efficacy.
• Proposing the need for disease staging via imaging and functional assessment.

Main Results:

• The impact of specific cardiovascular risk factors is non-uniform throughout atherogenesis.
• The effectiveness of interventions is likely stage-dependent.
• Risk assessment, even with complex algorithms, remains inherently imprecise.

Conclusions:

• Targeting factors that promote specific stages of atherogenesis may reveal new therapeutic avenues.
• Disease staging is potentially crucial for optimizing cardiovascular treatment efficacy.
• Accurate cardiovascular risk stratification remains a significant challenge.