Abstract:Objective: To analyze the clinical and imaging data of common COVID-2019 patients, analyze their characteristics, and explore the change process . Methods: According to the progress of pulmonary lesions during hospitalization, 21 patients with COVID-2019 were divided into stable group and progressive group,analysed and compared the clinical and imaging data of two groups . Results: ①Fever (52.38%) and cough (38.09%) were the main symptoms in the first diagnosis, and 4 cases (19.04%) had no obvious symptoms; ②The pulmonary lesions in the stable group began to absorb on the (13.06 ± 5.41) day of the total course of disease, the progressive group began to absorb on the (12.80 ± 7.19) day, and the progressive group began to absorb on the (17.20 ± 7.40) day; There was no statistical difference in the course of disease, length of hospitalization and the total course of disease between the two groups before hospitalization. ③ There were no statistical differences in WBC count, neutrophil count, lymphocyte count and NLR group in different periods between the general group and the progress group; There were statistical differences between the NLR group at admission, and the progress group was higher than the stable group. ④ Pulmonary lesions involved one lobe in 5 cases (26.32%), two lobes in 2 cases (10.53%), three lobes in 3 cases (15.79%), four lobes in 5 cases (26.32%), five lobes in 4 cases (21.05%); imaging manifestations: simple ground glass shadow in 8 cases (42.11%), ground glass shadow with solid components in 11 cases (57.89%); paver sign in 5 cases (26.31%), dandelion fruit sign in 16 cases (84.21%), Seed sign of dandelion in 10 cases (52.63%) and 10 cases (52.63%) had pleural thickening. Conclusion: Comprehensive analysis of clinical manifestations, laboratory and CT manifestations can improve the diagnostic ability of common COVID-2019. NLR has a certain predictive value for the progress of the disease when admitted.
[1] 国家卫生健康委办公厅,国家中医药管理局办公室.新型冠状病毒肺炎诊疗方案(试行第七版)[EB/OL]. [2] Chen N, Zhou M, Dong X, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study [J]. Lancet, 2020, 395(10223): 507~513. [3] Chan J F, Yuan S, Kok K H, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster [J]. Lancet, 2020, 395(10223): 514~523. [4] 侯可可,张娜,李桃,等.新型冠状病毒肺炎不同时期CT表现及中性粒细胞/淋巴细胞比值、T淋巴细胞亚群变化[J].放射学实践,2020,35(3):272~276. [5] Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China [J]. Lancet, 2020, 395(10223): 497~506. [6] Lei J, Li J, Li X, et al. CT imaging of the 2019 novel coronavirus (2019-nCoV) pneumonia[J]. Radiology, 2020, 295(1): 18. [7] 傅晓彬,李杰生,黄洲,等.蒲公英果实征:一种诊断新型冠状病毒肺炎的CT征象[J].南方医科大学学报,2020.