David A Halon1, Idit Lavi2, Ofra Barnett-Griness2, Ronen Rubinshtein3, Barak Zafrir4, Mali Azencot5, Basil S Lewis6. 1. Cardiovascular Clinical Research Institute, Lady Davis Carmel Medical Center, Haifa, Israel. Electronic address: halondav@technion.ac.il. 2. Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel. 3. Ruth and Bruce Rappaport School of Medicine Technion-Israel Institute of Technology, Haifa, Israel. 4. Preventive Cardiology and Rehabilitation Service, Lady Davis Carmel Medical Center, Haifa, Israel. 5. Cardiovascular Clinical Research Institute, Lady Davis Carmel Medical Center, Haifa, Israel. 6. Cardiovascular Clinical Research Institute, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport School of Medicine Technion-Israel Institute of Technology, Haifa, Israel.
Abstract
OBJECTIVES: The authors used coronary computed tomography angiography (CTA) to determine plaque characteristics predicting individual late plaque events precipitating acute coronary syndromes (ACS) in a cohort of asymptomatic type 2 diabetic patients. BACKGROUND: In patients with coronary artery disease, CTA plaque characteristics may predict mid-term patient events. METHODS: Asymptomatic patients with diabetes 55 to 74 years of age with no history of coronary artery disease (N = 630) underwent baseline 64-slice CTA and detailed plaque level analysis. All subsequent clinical events were recorded and adjudicated. In patients who developed ACS, culprit plaque was identified at invasive angiography and its precursor located on the baseline CTA. Plaque characteristics predicting an ACS-associated culprit plaque event were analyzed by time to event accounting for inpatient clustering of plaques and competing events. RESULTS: Among 2,242 plaques in 499 subjects, 24 ACS culprit plaques were identified in 24 subjects during median follow-up of 9.2 years (interquartile range: 8.4 to 9.8 years). Plaque volume (upper vs. lower quartile hazard ratio [HR]: 6.9; 95% confidence interval [CI]: 1.6 to 30.8; p = 0.011), percentage of low-density plaque content <50 Hounsfield units (HR: 14.2; 95% CI: 1.9 to 108; p = 0.010), and mild plaque calcification (HR vs. all other plaques 3.3 [95% CI: 1.5 to 7.3]; p = 0.004) predicted plaque events univariately and after adjustment by clinical risk score. A culprit plaque event occurred in 13 of 376 (3.5%) high-risk plaques (HRP) (plaques with ≥2 risk predictors) versus 11 of 1,866 (0.6%) in non-HRPs (p < 0.0001), at 12 of 343 (3.5%) stenotic sites (≥50%) versus 12 of 1,899 (0.6%) nonstenotic sites (p < 0.0001) and in 7 of 131 (5.3%) HRP with stenosis (p < 0.0001 vs. all others). In 130 (20.6%) subjects, no coronary plaque was present on baseline CTA. CONCLUSIONS: In asymptomatic patients with type 2 diabetes, CTA plaque volume, percent low-density plaque content, and mild calcification predicted late plaque events. The additional presence of luminal stenosis increased the probability of an acute event.
OBJECTIVES: The authors used coronary computed tomography angiography (CTA) to determine plaque characteristics predicting individual late plaque events precipitating acute coronary syndromes (ACS) in a cohort of asymptomatic type 2 diabeticpatients. BACKGROUND: In patients with coronary artery disease, CTA plaque characteristics may predict mid-term patient events. METHODS: Asymptomatic patients with diabetes 55 to 74 years of age with no history of coronary artery disease (N = 630) underwent baseline 64-slice CTA and detailed plaque level analysis. All subsequent clinical events were recorded and adjudicated. In patients who developed ACS, culprit plaque was identified at invasive angiography and its precursor located on the baseline CTA. Plaque characteristics predicting an ACS-associated culprit plaque event were analyzed by time to event accounting for inpatient clustering of plaques and competing events. RESULTS: Among 2,242 plaques in 499 subjects, 24 ACS culprit plaques were identified in 24 subjects during median follow-up of 9.2 years (interquartile range: 8.4 to 9.8 years). Plaque volume (upper vs. lower quartile hazard ratio [HR]: 6.9; 95% confidence interval [CI]: 1.6 to 30.8; p = 0.011), percentage of low-density plaque content <50 Hounsfield units (HR: 14.2; 95% CI: 1.9 to 108; p = 0.010), and mild plaque calcification (HR vs. all other plaques 3.3 [95% CI: 1.5 to 7.3]; p = 0.004) predicted plaque events univariately and after adjustment by clinical risk score. A culprit plaque event occurred in 13 of 376 (3.5%) high-risk plaques (HRP) (plaques with ≥2 risk predictors) versus 11 of 1,866 (0.6%) in non-HRPs (p < 0.0001), at 12 of 343 (3.5%) stenotic sites (≥50%) versus 12 of 1,899 (0.6%) nonstenotic sites (p < 0.0001) and in 7 of 131 (5.3%) HRP with stenosis (p < 0.0001 vs. all others). In 130 (20.6%) subjects, no coronary plaque was present on baseline CTA. CONCLUSIONS: In asymptomatic patients with type 2 diabetes, CTA plaque volume, percent low-density plaque content, and mild calcification predicted late plaque events. The additional presence of luminal stenosis increased the probability of an acute event.
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Authors: Ashley Chorath; Younhee Choi; Evrim B Turkbey; Mark A Ahlman; Christopher T Sibley; Songtao Liu; David A Bluemke; Veit Sandfort Journal: Radiol Cardiothorac Imaging Date: 2020-02-27
Authors: Kristine B Holte; Mona Svanteson; Kristian F Hanssen; Kari Anne Sveen; Ingebjørg Seljeflot; Svein Solheim; David R Sell; Vincent M Monnier; Tore Julsrud Berg Journal: PLoS One Date: 2020-05-13 Impact factor: 3.240