Rationale: The clinical data and corresponding dynamic CT findings were investigated in detail to describe the clinical and imaging profiles of COVID-19 pneumonia disease progression. Methods: Forty HCWs with COVID-19 were included in this study and 30 enrolled for imaging assessment. Disease was divided into four stages based on time from onset: stage 1 (1-6 days), stage 2 (7-13 days), stage 3 (14-22 days), and stage 4 (> 22 days). Clinical wand imaging data were analyzed retrospectively. Results: The cohort included 33 female and 7 male cases, with a median age of 40 years. Six had underlying comorbidities. More than half of the cases were nurses (22, 55%). Each stage included 39, 37, 34 and 32 CTs, respectively. Bilateral lesions, multifocal lesions and lesions with GGO pattern occurred in both lower lobes at all stages. The crazy-paving pattern (20, 54%), air bronchogram (13, 35%), and pleural effusion (2, 5%) were the most common CT features in stage 2. Consolidation score peaked in stage 2 whereas total lesions score peaked in stage 3. Conclusions: COVID-19 pneumonia in HCWs has a potential predilection for younger female workers. Stage 2 of COVID-19 pneumonia may be the key period for controlling progression of the disease, and consolidation scores may be an objective reflection of the severity of lung involvement.
第一作者机构:[1]Cent South Univ, Xiangya Hosp, Dept Radiol, Changsha 410013, Hunan, Peoples R China
共同第一作者:
通讯作者:
通讯机构:[2]Wuhan Univ, Wuhan Hosp 3, Tongren Hosp, Dept Radiol, Wuhan 430060, Hubei, Peoples R China[6]Cent South Univ, Xiangya Hosp, Dept Ultrasonog, Changsha 410008, Hunan, Peoples R China[*1]Department of Ultrasonography, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, People's Republic of China[*2]Department of Radiology, No. 241, Pengliuyang Road, Wuhan Third Hospital (Tongren Hospital of Wuhan University) ,Wuhan 430000, Hubei Province, People's Republic of China
推荐引用方式(GB/T 7714):
Liu Huaping,Luo Shiyong,Li Hailan,et al.Clinical characteristics and longitudinal chest CT features of healthcare workers hospitalized with coronavirus disease 2019 (COVID-19)[J].INTERNATIONAL JOURNAL OF MEDICAL SCIENCES.2020,17(17):2644-2652.doi:10.7150/ijms.48696.
APA:
Liu, Huaping,Luo, Shiyong,Li, Hailan,Zhang, Youming,Huang, Chiyao...&Chen, Mingna.(2020).Clinical characteristics and longitudinal chest CT features of healthcare workers hospitalized with coronavirus disease 2019 (COVID-19).INTERNATIONAL JOURNAL OF MEDICAL SCIENCES,17,(17)
MLA:
Liu, Huaping,et al."Clinical characteristics and longitudinal chest CT features of healthcare workers hospitalized with coronavirus disease 2019 (COVID-19)".INTERNATIONAL JOURNAL OF MEDICAL SCIENCES 17..17(2020):2644-2652