Generic placeholder image

Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

General Research Article

Chest CT Features of Patients with COVID-19 Pneumonia Following Hospital Discharge

Author(s): Dong Liu, Fangfang Fu, Aihua Ye, Zhenguo Qiao* and Chunhong Hu*

Volume 19, Issue 8, 2023

Published on: 27 January, 2023

Article ID: e090123212464 Pages: 7

DOI: 10.2174/1573405619666230109155518

Price: $65

Abstract

Objective: To evaluate chest computed tomographic (CT) findings in patients with coronavirus disease 2019 (COVID-19) pneumonia following hospital discharge.

Methods: 52 patients with confirmed COVID-19 pneumonia underwent follow-up chest CT. The scans were obtained on average 43.1 days after hospital admission and analyzed for parenchymal abnormality (e.g., ground-glass opacities, consolidation, or interstitial thickening) and evidence of fibrosis (e.g., assigned to one of three groups: Group 1 (normal lung), Group 2 (parenchymal abnormality but without evidence of fibrosis), and Group 3 (evidence of fibrosis)). Clinical data and CT manifestations of the patients were compared among the three groups.

Results: 30.8% (16/52) of patients with COVID-19 pneumonia showed normal lung and were designated as Group 1. 69.2% (36/52) of patients showed parenchymal abnormality ranging from residual ground-glass opacities, consolidation, or interstitial thickening in Group 2 (51.9%) to fibrosis in Group 3 (17.3%). All patients in Group3 had severe/critical COVID-19, while most patients in Group 2 and Group 1 had common COVID-19. Patients in Group 3 were older (60.9 vs. 40.8 and 36.8 years, p<0.001, there is a significant difference), had a longer hospitalization day (20.2 vs. 15.3 and 12.3 days, p<0.05, there is a significant difference), a higher ratio of patients with comorbidities (88.9%vs14.8% and 25%, p<0.001, there is a significant difference), and higher peak CT scores (13 vs. 6.2 and 3.2, p<0.001, there is a significant difference) than those patients in Group 2 and Group 1.

Conclusions: Elderly severe/critical COVID-19 patients with comorbidities are more prone to develop fibrosis early on following hospital discharge. On the other hand, lung inflammation in younger patients with common COVID-19 can be resolved completely.

Graphical Abstract

[1]
Chung M, Bernheim A, Mei X, et al. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology 2020; 295(1): 202-7.
[http://dx.doi.org/10.1148/radiol.2020200230] [PMID: 32017661]
[2]
Aktas G. A comprehensive review on rational and effective treatment strategies against an invisible enemy; SARS Cov-2 infection. Exper Biomed Res 2020; 3(4): 293-311.
[http://dx.doi.org/10.30714/j-ebr.2020463629]
[3]
Atak Tel B, Kahveci G, Bilgin S, et al. Haemoglobin and red cell distribution width levels in internal medicine patients indicate recurrent hospital admission during COVID-19. Family Med Primary Care Rev 2022; 24(1): 32-6.
[http://dx.doi.org/10.5114/fmpcr.2022.113011]
[4]
Atak Tel BM, Bilgin S, Kurtkulagi O, et al. Frailty in diabetic subjects during COVID-19 and its association with HbA1c, mean platelet volume and monocyte/lymphocyte ratio. Clin Diabetol 2022; 11(2): 119-26.
[http://dx.doi.org/10.5603/DK.a2022.0015]
[5]
Ding X, Xu J, Zhou J, Long Q. Chest CT findings of COVID-19 pneumonia by duration of symptoms. Eur J Radiol 2020; 127: 109009.
[http://dx.doi.org/10.1016/j.ejrad.2020.109009] [PMID: 32325282]
[6]
Pan Y, Guan H, Zhou S, et al. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): A study of 63 patients in Wuhan, China. Eur Radiol 2020; 30(6): 3306-9.
[http://dx.doi.org/10.1007/s00330-020-06731-x] [PMID: 32055945]
[7]
Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation between chest CT findings and clinical conditions of coronavirus disease (COVID-19) pneumonia: A multicenter study. AJR Am J Roentgenol 2020; 214(5): 1072-7.
[http://dx.doi.org/10.2214/AJR.20.22976] [PMID: 32125873]
[8]
Hu Q, Guan H, Sun Z, et al. Early CT features and temporal lung changes in COVID-19 pneumonia in Wuhan, China. Eur J Radiol 2020; 128: 109017.
[http://dx.doi.org/10.1016/j.ejrad.2020.109017] [PMID: 32387924]
[9]
Li Y, Xia L. Coronavirus Disease 2019 (COVID-19): Role of chest CT in diagnosis and management. AJR Am J Roentgenol 2020; 214(6): 1280-6.
[http://dx.doi.org/10.2214/AJR.20.22954] [PMID: 32130038]
[10]
Li K, Wu J, Wu F, et al. The clinical and chest CT features associated with severe and critical COVID-19 Pneumonia. Invest Radiol 2020; 55(6): 327-31.
[http://dx.doi.org/10.1097/RLI.0000000000000672] [PMID: 32118615]
[11]
Shi H, Han X, Jiang N, et al. Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: A descriptive study. Lancet Infect Dis 2020; 20(4): 425-34.
[http://dx.doi.org/10.1016/S1473-3099(20)30086-4] [PMID: 32105637]
[12]
Zhou S, Wang Y, Zhu T, Xia L. CT features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 patients in Wuhan, China. AJR Am J Roentgenol 2020; 214(6): 1287-94.
[http://dx.doi.org/10.2214/AJR.20.22975] [PMID: 32134681]
[13]
Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: Glossary of terms for thoracic imaging. Radiology 2008; 246(3): 697-722.
[http://dx.doi.org/10.1148/radiol.2462070712] [PMID: 18195376]
[14]
Brogna B, Bignardi E, Brogna C, et al. Typical CT findings of COVID-19 pneumonia in patients presenting with repetitive negative RT-PCR. Radiography 2021; 27(2): 743-7.
[http://dx.doi.org/10.1016/j.radi.2020.09.012] [PMID: 32998840]
[15]
Carotti M, Salaffi F, Sarzi-Puttini P, et al. Chest CT features of coronavirus disease 2019 (COVID-19) pneumonia: Key points for radiologists. Radiol Med 2020; 25(7): 636e46.
[http://dx.doi.org/10.1007/s11547-020-01237-4]
[16]
Xu Z, Shi L, Wang Y, et al. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. Lancet Respir Med 2020; 8(4): 420-2.
[http://dx.doi.org/10.1016/S2213-2600(20)30076-X] [PMID: 32085846]
[17]
Wan Y, Shang J, Graham R, Baric RS, Li F. Receptor recognition by novel coronavirus from Wuhan: An analysis based on decade-long structural studies of SARS. J Virol 2020; 94(7): e00127-20.
[http://dx.doi.org/10.1128/JVI.00127-20] [PMID: 31996437]
[18]
Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet 2020; 395(10223): 497-506.
[http://dx.doi.org/10.1016/S0140-6736(20)30183-5] [PMID: 31986264]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy