Wenji Yu1,2, Feifei Zhang1,2, Bao Liu1,2, Jianfeng Wang1,2, Xiaoliang Shao1,2, Min-Fu Yang3, Xiaoyu Yang4, Zhifang Wu5, Sijin Li5, Yunmei Shi1,2, Bing Wang1,2, Yiduo Xu1,2, Yuetao Wang6,7. 1. Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China. 2. Changzhou Key Laboratory of Molecular Image, Changzhou, Jiangsu Province, China. 3. Department of Nuclear Medicine, Affiliated Beijing Chaoyang Hospital of Capital Medical University, Beijing, China. 4. Department of Cardiology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China. 5. Department of Nuclear Medicine, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi Province, China. 6. Department of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu Province, China. yuetao-w@163.com. 7. Changzhou Key Laboratory of Molecular Image, Changzhou, Jiangsu Province, China. yuetao-w@163.com.
Abstract
BACKGROUND: Epicardial fat volume (EFV) has been reported to be associated with coronary artery disease (CAD). CAD is the leading cause of myocardial ischemia and myocardial ischemia is closely related to major adverse cardiovascular events. We hypothesized that EFV could provide incremental value to traditional risk factors and coronary artery calcium score (CACS) in predicting myocardial ischemia in Chinese patients with suspected CAD. METHODS: We retrospectively studied 204 Chinese patients with suspected CAD who underwent single-photon emission computerized tomography-myocardial perfusion imaging (SPECT-MPI) combined with computed tomography (CT). Pericardial contours were manually defined, and EFV was automatically calculated. A reversible perfusion defect with summed difference score (SDS) ≥ 2 was defined as myocardial ischemia. RESULTS: The myocardial ischemia group had higher EFV than normal MPI group (137.80 ± 34.95cm3 vs. 106.63 ± 29.10 cm3, P < .001). In multivariable logistic regression analysis, high EFV was significantly associated with myocardial ischemia [odds ratio (OR): 8.30, 95% CI: 3.72-18.49, P < .001]. Addition of EFV to CACS and traditional risk factors could predict myocardial ischemia more effectively, with larger AUC .82 (P < .001), positive net reclassification index .14 (P = .04) and integrated discrimination improvement .14 (P < .001). The bootstrap resampling method (times = 500) was used to internally validation and calculate the 95% confidence interval (CI) of the AUC (95% CI .75-.87). The calibration curve for the probability of myocardial ischemia demonstrated good agreement between prediction and observation. CONCLUSIONS: In Chinese patients with suspected CAD, EFV was significantly associated with myocardial ischemia, and improved prediction of myocardial ischemia above traditional risk factors and CACS.
BACKGROUND: Epicardial fat volume (EFV) has been reported to be associated with coronary artery disease (CAD). CAD is the leading cause of myocardial ischemia and myocardial ischemia is closely related to major adverse cardiovascular events. We hypothesized that EFV could provide incremental value to traditional risk factors and coronary artery calcium score (CACS) in predicting myocardial ischemia in Chinese patients with suspected CAD. METHODS: We retrospectively studied 204 Chinese patients with suspected CAD who underwent single-photon emission computerized tomography-myocardial perfusion imaging (SPECT-MPI) combined with computed tomography (CT). Pericardial contours were manually defined, and EFV was automatically calculated. A reversible perfusion defect with summed difference score (SDS) ≥ 2 was defined as myocardial ischemia. RESULTS: The myocardial ischemia group had higher EFV than normal MPI group (137.80 ± 34.95cm3 vs. 106.63 ± 29.10 cm3, P < .001). In multivariable logistic regression analysis, high EFV was significantly associated with myocardial ischemia [odds ratio (OR): 8.30, 95% CI: 3.72-18.49, P < .001]. Addition of EFV to CACS and traditional risk factors could predict myocardial ischemia more effectively, with larger AUC .82 (P < .001), positive net reclassification index .14 (P = .04) and integrated discrimination improvement .14 (P < .001). The bootstrap resampling method (times = 500) was used to internally validation and calculate the 95% confidence interval (CI) of the AUC (95% CI .75-.87). The calibration curve for the probability of myocardial ischemia demonstrated good agreement between prediction and observation. CONCLUSIONS: In Chinese patients with suspected CAD, EFV was significantly associated with myocardial ischemia, and improved prediction of myocardial ischemia above traditional risk factors and CACS.
Authors: Mohammed A Moharram; Hamish M Aitken-Buck; Robin Reijers; Isabelle van Hout; Michael Ja Williams; Peter P Jones; Gillian A Whalley; Regis R Lamberts; Sean Coffey Journal: N Z Med J Date: 2020-06-12