Characteristics and clinical significance of myocardial injury in patients with severe coronavirus disease 2019

Author:

Shi Shaobo123,Qin Mu4,Cai Yuli5,Liu Tao123,Shen Bo123,Yang Fan6,Cao Sheng7ORCID,Liu Xu4,Xiang Yaozu8,Zhao Qinyan123,Huang He123,Yang Bo123,Huang Congxin123

Affiliation:

1. Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China

2. Cardiovascular Research Institute, Wuhan University, Wuhan, 430060, China

3. Hubei Key Laboratory of Cardiology, Wuhan University, Wuhan, 430060, China

4. Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, 200030, China

5. Department of Endocrinology, Renmin Hospital of Wuhan University, Wuhan, 430060, China

6. Department of Infectious Diseases, Renmin Hospital of Wuhan University, Wuhan, 430060, China

7. Department of Echocardiography, Renmin Hospital of Wuhan University, Wuhan, 430060, China

8. Shanghai East Hospital, School of Life Sciences and Technology, Advanced Institute of Translational Medicine, Tongji University, Shanghai, 200092, China

Abstract

Abstract Aims To investigate the characteristics and clinical significance of myocardial injury in patients with severe coronavirus disease 2019 (COVID-19). Methods and results We enrolled 671 eligible hospitalized patients with severe COVID-19 from 1 January to 23 February 2020, with a median age of 63 years. Clinical, laboratory, and treatment data were collected and compared between patients who died and survivors. Risk factors of death and myocardial injury were analysed using multivariable regression models. A total of 62 patients (9.2%) died, who more often had myocardial injury (75.8% vs. 9.7%; P < 0.001) than survivors. The area under the receiver operating characteristic curve of initial cardiac troponin I (cTnI) for predicting in-hospital mortality was 0.92 [95% confidence interval (CI), 0.87–0.96; sensitivity, 0.86; specificity, 0.86; P < 0.001]. The single cut-off point and high level of cTnI predicted risk of in-hospital death, hazard ratio (HR) was 4.56 (95% CI, 1.28–16.28; P = 0.019) and 1.25 (95% CI, 1.07–1.46; P = 0.004), respectively. In multivariable logistic regression, senior age, comorbidities (e.g. hypertension, coronary heart disease, chronic renal failure, and chronic obstructive pulmonary disease), and high level of C-reactive protein were predictors of myocardial injury. Conclusion The risk of in-hospital death among patients with severe COVID-19 can be predicted by markers of myocardial injury, and was significantly associated with senior age, inflammatory response, and cardiovascular comorbidities.

Funder

Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Major Program of Technological Innovation of Hubei Province

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine

Reference23 articles.

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