Stefan Baumann1,2, Finja Kaeder1,2, U Joseph Schoepf3, Joseph W Golden3, Philipp Kryeziu1,2, Christian Tesche4,5, Matthias Renker6, Sonja Jannsen7, Christel Weiss8, Svetlana Hetjens8, Stefan O Schoenberg7, Martin Borggrefe1,2, Ibrahim Akin1,2, Dirk Lossnitzer1,2, Daniel Overhoff7. 1. First Department of Medicine-Cardiology, University Medical Centre Mannheim. 2. DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg/Mannheim, Mannheim. 3. Department of Radiology and Radiological Science, Division of Cardiovascular Imaging, Medical University of South Carolina, Charleston, SC. 4. Department of Internal Medicine, Cardiology, St. Johannes-Hospital, Dortmund. 5. Department of Cardiology, Munich University Clinic, Ludwig-Maximilians-University, Munich. 6. Department of Cardiology, Kerckhoff Heart and Thorax Center, Bad Nauheim. 7. Institute of Clinical Radiology and Nuclear Medicine, Faculty of Medicine Mannheim. 8. Department of Medical Statistics and Biomathematics, Medical Faculty Mannheim, University Medical Center Mannheim, Heidelberg University, Heidelberg, Germany.
Abstract
PURPOSE: In this study, we analyzed the prognostic value of coronary computed tomography angiography-derived morphologic and quantitative plaque markers and plaque scores for major adverse cardiovascular events (MACEs). MATERIALS AND METHODS: We analyzed the data of patients with suspected coronary artery disease (CAD). Various plaque markers were obtained using a semiautomated software prototype or derived from the results of the software analysis. Several risk scores were calculated, and follow-up data concerning MACE were collected from all patients. RESULTS: A total of 131 patients (65±12 y, 73% male) were included in our study. MACE occurred in 11 patients within the follow-up period of 34±25 months.CAD-Reporting and Data System score (odds ratio [OR]=11.62), SYNTAX score (SS) (OR=1.11), Leiden-risk score (OR=1.37), segment involvement score (OR=1.76), total plaque volume (OR=1.20), and percentage aggregated plaque volume (OR=1.32) were significant predictors for MACE (all P≤0.05). Moreover, the difference of the corrected coronary opacification (ΔCCO) correlated significantly with the occurrence of MACE (P<0.0001). The CAD-Reporting and Data System score, SS, and Leiden-risk score showed substantial sensitivity for predicting MACE (90.9%). The SS and Leiden-risk score displayed high specificities of 80.8% and 77.5%, respectively. These plaque markers and risk scores all provided high negative predictive value (>90%). CONCLUSION: The coronary computed tomography angiography-derived plaque markers of segment involvement score, total plaque volume, percentage aggregated plaque volume, and ΔCCO, and the risk scores exhibited predictive value for the occurrence of MACE and can likely aid in identifying patients at risk for future cardiac events.
PURPOSE: In this study, we analyzed the prognostic value of coronary computed tomography angiography-derived morphologic and quantitative plaque markers and plaque scores for major adverse cardiovascular events (MACEs). MATERIALS AND METHODS: We analyzed the data of patients with suspected coronary artery disease (CAD). Various plaque markers were obtained using a semiautomated software prototype or derived from the results of the software analysis. Several risk scores were calculated, and follow-up data concerning MACE were collected from all patients. RESULTS: A total of 131 patients (65±12 y, 73% male) were included in our study. MACE occurred in 11 patients within the follow-up period of 34±25 months.CAD-Reporting and Data System score (odds ratio [OR]=11.62), SYNTAX score (SS) (OR=1.11), Leiden-risk score (OR=1.37), segment involvement score (OR=1.76), total plaque volume (OR=1.20), and percentage aggregated plaque volume (OR=1.32) were significant predictors for MACE (all P≤0.05). Moreover, the difference of the corrected coronary opacification (ΔCCO) correlated significantly with the occurrence of MACE (P<0.0001). The CAD-Reporting and Data System score, SS, and Leiden-risk score showed substantial sensitivity for predicting MACE (90.9%). The SS and Leiden-risk score displayed high specificities of 80.8% and 77.5%, respectively. These plaque markers and risk scores all provided high negative predictive value (>90%). CONCLUSION: The coronary computed tomography angiography-derived plaque markers of segment involvement score, total plaque volume, percentage aggregated plaque volume, and ΔCCO, and the risk scores exhibited predictive value for the occurrence of MACE and can likely aid in identifying patients at risk for future cardiac events.