• Zhi-Yao Wei, Rui Qiao, Jian Chen, Ji Huang, Wen-Jun Wang, Hua Yu, Jing Xu, Hui Wu, Chao Wang, Chong-Huai Gu, Hong-Jiang Li, Mi Li, Cong Liu, Jun Yang, Hua-Ming Ding, Min-Jie Lu, Wei-Hua Yin, Yang Wang, Kun-Wei Li, Heng-Feng Shi, Hai-Yan Qian, Wei-Xian Yang, and Yong-Jian Geng.
• State Key Laboratory of Cardiovascular Disease, Department of Cardiology, Center for Coronary Heart Disease, National Center for Cardiovascular Diseases of China, Fu Wai Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
• Front Cardiovasc Med. 2020 Jan 1; 7: 585220.

AbstractBackground: Myocardial injury is a life-threatening complication of coronavirus disease 2019 (COVID-19). Pre-existing health conditions and early morphological alterations may precipitate cardiac injury and dysfunction after contracting the virus. The current study aimed at assessing potential risk factors for COVID-19 cardiac complications in patients with pre-existing conditions and imaging predictors. Methods and Results: The multi-center, retrospective cohort study consecutively enrolled 400 patients with lab-confirmed COVID-19 in six Chinese hospitals remote to the Wuhan epicenter. Patients were diagnosed with or without the complication of myocardial injury by history and cardiac biomarker Troponin I/T (TnI/T) elevation above the 99th percentile upper reference limit. The majority of COVID-19 patients with myocardial injury exhibited pre-existing health conditions, such as hypertension, diabetes, hypercholesterolemia, and coronary disease. They had increased levels of the inflammatory cytokine interleukin-6 and more in-hospital adverse events (admission to an intensive care unit, invasive mechanical ventilation, or death). Chest CT scan on admission demonstrated that COVID-19 patients with myocardial injury had higher epicardial adipose tissue volume ([EATV] 139.1 (83.8-195.9) vs. 92.6 (76.2-134.4) cm2; P = 0.036). The optimal EATV cut-off value (137.1 cm2) served as a useful factor for assessing myocardial injury, which yielded sensitivity and specificity of 55.0% (95%CI, 32.0-76.2%) and 77.4% (95%CI, 71.6-82.3%) in adverse cardiac events, respectively. Multivariate logistic regression analysis showed that EATV over 137.1 cm2 was a strong independent predictor for myocardial injury in patients with COVID-19 [OR 3.058, (95%CI, 1.032-9.063); P = 0.044]. Conclusions: Augmented EATV on admission chest CT scan, together with the pre-existing health conditions (hypertension, diabetes, and hyperlipidemia) and inflammatory cytokine production, is associated with increased myocardial injury and mortality in COVID-19 patients. Assessment of pre-existing conditions and chest CT scan EATV on admission may provide a threshold point potentially useful for predicting cardiovascular complications of COVID-19.Copyright © 2021 Wei, Qiao, Chen, Huang, Wang, Yu, Xu, Wu, Wang, Gu, Li, Li, Liu, Yang, Ding, Lu, Yin, Wang, Li, Shi, Qian, Yang and Geng.

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