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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Prognostic value of coronary computed tomographic angiography in diabetic patients without known coronary artery
Martin Hadamitzky1, Franziska Hein, Tanja Meyer
1Klinik für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Hospital at the Technische Universität München, Munich, Germany. mhy@dhm.mhn.de
Insights
Coronary computed tomography angiography (CCTA) effectively identifies high-risk diabetic patients for cardiac events. The atherosclerotic burden score using CCTA predicts future cardiac events in diabetic individuals.
Area of Science:
- Cardiology
- Radiology
- Diabetology
Background:
- Diabetic patients exhibit a high prevalence of coronary artery disease (CAD).
- Early detection of CAD in diabetic individuals is clinically challenging.
- Coronary computed tomography angiography (CCTA) is a key imaging modality for cardiovascular assessment.
Purpose of the Study:
- To evaluate CCTA's efficacy in detecting CAD among diabetic patients.
- To assess CCTA's ability to predict future cardiac events in this population.
- To compare CAD detection and event prediction between diabetic and non-diabetic individuals.
Main Methods:
- A cohort of 140 diabetic patients without known CAD underwent CCTA.
- A control group of 1,782 non-diabetic patients was included for comparison.
- Key metrics included calcium scoring, stenosis severity, and atherosclerotic burden score (number of segments with plaque).
- Primary endpoint was a composite of hard cardiac events (all-cause death, myocardial infarction, unstable angina).
Main Results:
- The atherosclerotic burden score was the strongest predictor of cardiac events in diabetic patients.
- Diabetic patients with >9 lesions had an annual event rate of 9.6%, versus 0.5% for those with <5 lesions (HR 1.3, P=0.005).
- The atherosclerotic burden score significantly enhanced the prognostic value of conventional risk factors (P < 0.001).
Conclusions:
- CCTA is valuable for identifying diabetic patients at high risk for subsequent hard cardiac events.
- The atherosclerotic burden score derived from CCTA provides significant prognostic information.
- CCTA aids in risk stratification for CAD in diabetic populations.
Objective:
Diabetic patients have a high prevalence of coronary artery disease (CAD), but timely diagnosis of CAD remains challenging. We assessed the ability of coronary computed tomography angiography (CCTA) to detect CAD in diabetic patients and to predict subsequent cardiac events.
Research Design And Methods:
We analyzed 140 diabetic patients without known CAD undergoing CCTA; 1,782 patients without diabetes were used as a control group. Besides calcium scoring and the degree of the most severe stenosis, the atherosclerotic burden score counting the number of segments having either a nonstenotic plaque or a stenosis was recorded. The primary end point was a composite of hard cardiac events defined as all-cause death, nonfatal myocardial infarction, or unstable angina requiring hospitalization.
Results:
During a mean follow-up of 33 months, there were seven events in the diabetic group and 24 events in the control group. The best predictor in diabetic patients was the atherosclerotic burden score: the annual event rate ranged from 0.5% for patients with <5 lesions to 9.6% for patients with >9 lesions, resulting in a hazard ratio (HR) of 1.3 (95% CI 1.1-1.7) for each additional lesion (P = 0.005). For comparison, in nondiabetic patients the annual event rate ranged from 0.3 to 2.2%, respectively, resulting in an HR of 1.2 (95% CI 1.1-1.3, P < 0.001). The atherosclerotic burden score improved the prognostic value of conventional risk factors significantly (P < 0.001).
Conclusions:
In diabetic patients without known CAD, CCTA can identify a patient group at particularly high risk for subsequent hard cardiac events.
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