This CAC calculator application may help clinicians interpret their patients‘ CAC scores and determine those that will in the future reach CAC thresholds associated with unfavourable risk, such as a CAC score of 400.
It therefore may help patient communication, when the physician and the patient can evaluate together the patient’s individual course of CAC-progression, which may improve patient adherence to risk factor modifications e.g. via lifestyle changes.
It may also be used to plan the time schedule for a second CAC measurement, which can disclose whether patient adherence to risk factor modification and medication have slowed down CAC progression, or whether progression of coronary artery calcification is faster than expected from the natural course.
It must be noted that the tool so far is based on data from a Caucasian, urban population in Germany. Other populations may follow other percentiles and therefore
the application should be used with adequate caution.
The present prediction tool is based on an underlying exponential relation between CAC and age. It is therefore to be expected that accuracy of predictions decreases with increasing time between measurement and prediction. Therefore, in this program the prediction is limited to a time interval of 10 years. Also, absolute deviations between CAC predicted for a given age and CAC measured in a second CT scan at that age will tend to increase with predicted CAC.
Predictions made using this application cannot replace clinical judgment based on patient examination and application of clinical guidelines.
This application is freeware.
© 2014 Rauwolf1, Lehmann2, Mahabadi1, Erbel1
1 West-German Heart Center Essen
2 Institute for Medical Informatics, Biometry and Epidemiology
University Duisburg-Essen, Germany