Validation of an early vascular aging construct model for comprehensive cardiovascular risk assessment using external risk indicators for improved clinical utility: data from the EVasCu study
Authors' conclusion
This study validates a clustering model for EVA and highlights its association with established risk factors. EVA assessment can be integrated into clinical practice, allowing early intervention and personalized cardiovascular risk management.
Study context
- Population
- Healthy participants, EVasCu study, Spain
- Participants
- 390 participants
- Exposure
- Early vascular aging (EVA) vs healthy vascular aging (HVA) cluster
- Outcome
- External validation of EVA cluster model
Methodological detailsK-means clustering with principal component analysis, external validation
- K-means clustering with principal component analysis
- External validation
Main finding
As reported in the abstract
- EVA participants were older, with higher adiposity, poorer glycemic control, dyslipidemia, altered vascular properties and higher BP
- Significant differences for age, smoking status, BMI, waist circumference, fat percentage, glucose, insulin, C-reactive protein, diabetes prevalence, lipid profiles, arterial stiffness and BP levels
Observational data: associations, not effects.
Original publication
Validation of an early vascular aging construct model for comprehensive cardiovascular risk assessment using external risk indicators for improved clinical utility: data from the EVasCu study. Cardiovasc Diabetol. Published 13 January 2024. doi:10.
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