The characteristics and evolution of pulmonary fibrosis in patients with coronavirus disease 2019 (COVID-19) have not been adequately studied. AI-assisted chest high-resolution computed tomography (HRCT) was used to investigate the proportion of COVID-19 patients with pulmonary fibrosis, the relationship between the degree of fibrosis and the clinical classification of COVID-19, the characteristics of and risk factors for pulmonary fibrosis, and the evolution of pulmonary fibrosis after discharge. The incidence of pulmonary fibrosis in patients with severe or critical COVID-19 was significantly higher than that in patients with moderate COVID-19. There were significant differences in the degree of pulmonary inflammation and the extent of the affected area among patients with mild, moderate and severe pulmonary fibrosis. The IL-6 level in the acute stage and albumin level were independent risk factors for pulmonary fibrosis. Ground-glass opacities, linear opacities, interlobular septal thickening, reticulation, honeycombing, bronchiectasis and the extent of the affected area were significantly improved 30, 60 and 90 days after discharge compared with at discharge. The more severe the clinical classification of COVID-19, the more severe the residual pulmonary fibrosis was; however, in most patients, pulmonary fibrosis was improved or even resolved within 90 days after discharge.
基金:
National Natural Science Foundation of China[81770981, 82002863]; Wuhan Municipality Young and Middle-aged Medical Talent Cultivation Program [[2018]116]
第一作者机构:[1]Gen Hosp Cent Theater Command PLA, Dept Radiol, Wuhan, Hubei, Peoples R China
共同第一作者:
通讯作者:
通讯机构:[4]Wuhan Univ, Renmin Hosp, Dept Otolaryngol Head & Neck Surg, Wuhan, Hubei, Peoples R China[6]Wuhan Univ, Renmin Hosp, Inst Otolaryngol Head & Neck Surg, Wuhan, Hubei, Peoples R China
推荐引用方式(GB/T 7714):
Zou Jia-Ni,Sun Liu,Wang Bin-Ru,et al.The characteristics and evolution of pulmonary fibrosis in COVID-19 patients as assessed by AI-assisted chest HRCT[J].PLOS ONE.2021,16(3):doi:10.1371/journal.pone.0248957.
APA:
Zou, Jia-Ni,Sun, Liu,Wang, Bin-Ru,Zou, You,Xu, Shan...&Chen, Shi-Ming.(2021).The characteristics and evolution of pulmonary fibrosis in COVID-19 patients as assessed by AI-assisted chest HRCT.PLOS ONE,16,(3)
MLA:
Zou, Jia-Ni,et al."The characteristics and evolution of pulmonary fibrosis in COVID-19 patients as assessed by AI-assisted chest HRCT".PLOS ONE 16..3(2021)