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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Coronary artery calcium as a measure of biologic age
Leslee J Shaw1, Paolo Raggi, Daniel S Berman
1Cedars-Sinai Medical Center, Los Angeles, CA, USA. leslee.shaw@cshs.org
Insights
Coronary artery calcium scoring can reveal biological age, offering a better mortality prediction than chronological age. This method refines cardiovascular risk assessment, especially for those initially classified as low or intermediate risk.
Area of Science:
- Cardiology
- Preventive Medicine
- Medical Imaging
Background:
- Chronological age is a key factor in cardiovascular risk scores.
- However, atherosclerotic disease burden can vary significantly from a patient's actual age.
Purpose of the Study:
- To investigate the relationship between coronary artery calcium (CAC) and mortality.
- To determine if CAC-adjusted age is a superior predictor of mortality compared to chronological age.
Main Methods:
- Utilized electron beam tomography (EBT) to measure CAC in 10,377 asymptomatic individuals.
- Estimated "calcium-adjusted age" representing life years lost.
- Followed participants for 5 years for all-cause mortality.
- Employed linear regression and Cox proportional hazard models.
Main Results:
- CAC showed a direct relationship with observed age (r = 0.32).
- Calcium-adjusted age was a stronger predictor of mortality than chronological age.
- CAC testing reclassified cardiovascular risk in a significant percentage of individuals initially deemed low or intermediate risk by the Framingham score.
Conclusions:
- Coronary artery calcium measures correlate with survival and can determine biological age.
- CAC-adjusted age improves cardiovascular risk assessment, potentially identifying individuals with "undetected risk" based on traditional scores.
Background:
Age is assigned a heavy weight in the calculation of the total cardiovascular risk score but often the atherosclerotic disease burden varies from a patient's chronological age.
Methods:
We used measures of coronary artery calcium to estimate the number of life years lost (calcium-adjusted age) in 10,377 asymptomatic individuals referred for electron beam tomography (EBT) screening and followed for 5 years for all-cause mortality. Linear regression was used to calculate predicted age and time to death was estimated via a Cox proportional hazard model.
Results:
There was a direct relationship between coronary artery calcium and observed age (r = 0.32, p < 0.0001). In linear prediction models, a calcium score < 10 resulted in a reduction in observed age by 10 years in subjects older than 70 years, while a calcium score > 400 added as much as 30 years of age to younger patients. Calcium-adjusted age was a better predictor of mortality (model chi2 = 373, p < 0.0001) than observed age (model chi2 = 355, p < 0.0001). Detectable calcium was noted in 16% of men and 12% of women with an unadjusted low risk Framingham score (p < 0.0001). For those with an intermediate Framingham risk score, calcium scores > 10 were noted in 31 and 43% of men and women (p < 0.0001). Using calcium-adjustments to age, 55% of previously low risk Framingham scores to intermediate risk (p < 0.0001). Similarly, 45% of the unadjusted intermediate Framingham risk scores were re-classified as high risk based upon calcium-adjusted ages (p < 0.0001).
Conclusions:
Measures of coronary artery calcium are related to survival and can be used to assess an individual's biological age. Undetected risk based upon current calculations of the Framingham risk may be improved based upon determination of a re-adjustment of a patient's age using the extent of coronary calcification.
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