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Published on: July 14, 2016
Age as a risk factor
Ravi Dhingra1, Ramachandran S Vasan
1Section of Cardiology, Dartmouth Medical School, Heart and Vascular Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH 03756, USA.
Insights
This review examines how age impacts cardiovascular disease (CVD) risk prediction. It explores age as a modifiable factor and its influence on cardiac and vascular health.
Area of Science:
- Cardiology
- Preventive Medicine
- Gerontology
Background:
- Cardiovascular disease (CVD) risk is primarily assessed using traditional risk factors.
- Age is a well-established, yet often considered nonmodifiable, traditional risk factor for CVD.
- Understanding age's role is crucial for accurate CVD risk stratification.
Purpose of the Study:
- To review the utilization of individual age in CVD incidence prediction models.
- To explore the potential modifiability of age as a CVD risk factor.
- To discuss methods for evaluating short-term and long-term CVD risk and communicating it effectively.
Main Methods:
- Literature review of studies on age and CVD risk.
- Analysis of various CVD risk scoring systems incorporating age.
- Examination of research on age-related modifications of cardiovascular risk factors.
Main Results:
- Age is a significant predictor in most CVD risk scores.
- The concept of age as a modifiable risk factor is complex and requires further investigation.
- Age influences multiple cardiac and vascular risk factors, affecting overall CVD risk.
Conclusions:
- Accurate communication of age-related CVD risk is essential for patient management.
- Further research is needed to explore interventions that may modify age-related CVD risk.
- Integrating age-specific data enhances the precision of CVD risk assessment.
Abstract:
The risk of developing cardiovascular disease (CVD) is generally dependent on the presence or absence of traditional risk factors. Age is a well-known traditional risk factor, generally considered nonmodifiable. This review discusses the common use of individual age in prediction of CVD incidence using different risk scores, whether or not age as a risk factor can be modified, the methods used to evaluate long-term and short-term CVD risk, appropriate communication of individual risk based on age group and CVD risk, and the influence of age on cardiac and vascular risk factors.
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