Analysis of chest CT findings in patients with novel coronavirus pneumonia complicated by cardiovascular disease
JIN Qike1, DONG Jianghu2, LI Lei1, XU Mei1, ZENG Jingjing1, RUAN Yongxue1, REN Fangfang1, XIE Zuoyi1, WU Lianpin1.
1.Department of Cardiology, the Second Affiliated Hospital & Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou 325027, China; 2.Department of Biostatistics and Department of Nephrology, University of Nebraska Medical Center, Omaha 68198, Nebraska, USA
JIN Qike,DONG Jianghu,LI Lei1, et al. Analysis of chest CT findings in patients with novel coronavirus pneumonia complicated by cardiovascular disease[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2020, 50(11): 878-883.
Abstract：Objective: To analyze the chest CT features of patients with novel coronavirus pneumonia (COVID-19) complicated by cardiovascular disease (CVD) including hypertension and cardiogenic diseases and evaluate its role in clinical diagnosis and treatment. Methods: A retrospective analysis of 65 COVID-19 patients diagnosed in the Second Affiliated Hospital & Yuying Children’s Hospital of Wenzhou Medical University during January 20 to February 8, 2020. They were divided into CVD group and non-CVD group and their basic information, clinical symptoms, blood routine and chest CT signs were collected. The characteristics of chest CT manifestations were evaluated and analyzed. Results: In all 65 patients with COVID-19, the main clinical manifestations were fever and cough, accounting for 80.0% and 53.8 respectively. The increase of C-reactive protein in blood routine indicators accounted for 52.3%, leukopenia accounted for 18.5% and lymphopenia accounted for 26.2%. CT showed that 84.6% of the lesions were bilaterally distributed, and 95.4% with flaky ground glass shadows, which may be accompanied by consolidation, and a grid-like texture was visible in the inner lungs. The lesions were distributed along the bronchi and pleura, and the degree of lung involvement was related to the patient’s history of exposure and cardiovascular disease. The duration of symptoms and the percentage of lung involvement in the CVD group were greater than those in the non-CVD group, with statistical difference(P<0.05). As time progressed, the percentage of lung involvement in the CVD group and the non-CVD group was statistically different, respectively (P=0.046) and (P=0.026). Re-examination of pulmonary fibrosis was statistically different (P=0.047). Conclusion: Chest CT can clearly show the imaging changes during the course of COVID-19 disease. The chest CT of patients with cardiovascular disease is more serious and the recovery is slower. Imaging diagnosis combined with clinical features is helpful for better treatment.
