XML Print


1- Department of Internal Medicine, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran ; Clinical Research Development Unit (CRDU), Sayad Shirazi Hospital, Golestan University of Medical Sciences, Gorgan, Iran
2- School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
3- Department of Infectious Diseases, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
4- Clinical Research Development Unit (CRDU), Sayad Shirazi Hospital, Golestan University of Medical Sciences, Gorgan, Iran; Department of Radiology, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
5- Department of Internal Medicine, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran; Golestan Rheumatology Research Center, Golestan University of Medical Sciences, Gorgan, Iran
6- Department of Radiology, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
7- Department of Internal Medicine, School of Medicine, Golestan University of Medical Sciences, Gorgan, Iran
8- Clinical Research Development Unit (CRDU), Sayad Shirazi Hospital, Golestan University of Medical Sciences, Gorgan, Iran , mahilamonajati@gmail.com
Abstract:   (283 Views)
Background: Severe coronavirus infections may lead to long-term effects, such as persistent lung dysfunction and residual involvement. This study aimed to evaluate pulmonary function tests (PFT) and chest computed tomography (CT) scans of severe COVID-19 intensive care unit (ICU) survivors one year after discharge.
Methods: A cohort study was conducted, assessing spirometry and chest CT scans in patients with severe COVID-19 admitted to the ICU. Patients with pre-existing lung disease were excluded. Initial laboratory tests, clinical information, and medication (antivirals and corticosteroids) were reported in patients with and without fibrosis on chest CTs.
Results: Thirty patients (57% female) with a mean (SD) age of 50 (13.5) years were included. Initial pulmonary involvement had a mean score of 16 (4), with ground-glass opacification (GGO) observed in all patients, consolidation in 88%, and pneumomediastinum in 10% of patients. One-year chest CT scans revealed mild fibrotic changes in 70% of patients, presenting as a fibrotic band (47%) or a fibrotic band with GGO (23%). Patients with fibrosis had lower serum albumin levels, lower platelet counts, and were older. One-year follow-up spirometry showed that 73% had normal results, 20% had mild obstruction, and 7% exhibited a hyperreactive airway pattern. Spirometry parameters did not significantly differ between the fibrosis and non-fibrosis groups.
Conclusion: Most patients who survived severe COVID-19 infection showed significant improvement in one-year follow-up chest CT scans, and their PFT was not severely impaired. Importantly, our findings indicate no association between the severity of initial lung involvement, medication use, and follow-up chest CT results. This lack of association provides reassurance and confidence in the management of severe COVID-19 cases, suggesting that the long-term pulmonary effects may not be as dire as previously thought. We hope these findings will instill confidence in the medical community and provide reassurance to patients and their families.

 
     
Type of Article: Original article | Subject: General medicine
Received: 2023/12/28 | Accepted: 2024/06/10 | Published: 2024/09/22

References
1. Chohan A, Choudhury S, Dadhwal R, Vakil AP, Franco R, Taweesedt PT. Follow-up computed tomography scan in post-COVID-19 pneumonia. World J Radiol. 2022;14(4):104-6. [View at Publisher] [DOI] [PMID] [Google Scholar]
2. Jin C, Tian C, Wang Y, Wu CC, Zhao H, Liang T, et al. A pattern categorization of CT findings to predict outcome of COVID-19 pneumonia. Front Public Health. 2020;8:567672. [View at Publisher] [DOI] [PMID] [Google Scholar]
3. Pugliese L, Sbordone FP, Grimaldi F, Ricci F, Di Tosto F, Spiritigliozzi L, et al. Chest computed tomography scoring in patients with novel coronavirus-infected pneumonia: correlation with clinical and laboratory features and disease outcome. In Vivo. 2020;34(6):3735-46. [View at Publisher] [DOI] [PMID] [Google Scholar]
4. Liu D, Zhang W, Pan F, Li L, Yang L, Zheng D, et al. The pulmonary sequalae in discharged patients with COVID-19: a short-term observational study. Respir Res. 2020;21(1):125. [View at Publisher] [DOI] [PMID] [Google Scholar]
5. Zhang D, Zhang C, Li X, Zhao J, An C, Peng C, et al. Thin-section computed tomography findings and longitudinal variations of the residual pulmonary sequelae after discharge in patients with COVID-19: a short-term follow-up study. Eur Radiol. 2021;31(9):7172-83. [View at Publisher] [DOI] [PMID] [Google Scholar]
6. Yu M, Liu Y, Xu D, Zhang R, Lan L, Xu H. Prediction of the development of pulmonary fibrosis using serial thin-section CT and clinical features in patients discharged after treatment for COVID-19 pneumonia. Korean J Radiol. 2020;21(6):746-55. [View at Publisher] [DOI] [PMID] [Google Scholar]
7. Graham BL, Steenbruggen I, Miller MR, Barjaktarevic IZ, Cooper BG, Hall GL, et al. Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical Statement. Am J Respir Crit Care Med. 2019;200(8):e70-88. [View at Publisher] [DOI] [PMID] [Google Scholar]
8. Culver BH, Graham BL, Coates AL, Wanger J, Berry CE, Clarke PK, et al. Recommendations for a standardized pulmonary function report. An official American Thoracic Society technical statement. Am J Respir Crit Care Med. 2017;196(11):1463-72. [View at Publisher] [DOI] [PMID] [Google Scholar]
9. Stanojevic S, Kaminsky DA, Miller MR, Thompson B, Aliverti A, Barjaktarevic I, et al. ERS/ATS technical standard on interpretive strategies for routine lung function tests. Eur Respir J. 2022;60(1):2101499. [View at Publisher] [DOI] [PMID] [Google Scholar]
10. Zha L, Shen Y, Pan L, Han M, Yang G, Teng X, et al. Follow-up study on pulmonary function and radiological changes in critically ill patients with COVID-19. J Infect. 2021;82(1):159-98. [View at Publisher] [DOI] [PMID] [Google Scholar]
11. Wei J, Yang H, Lei P, Fan B, Qiu Y, Zeng B, et al. Analysis of thin-section CT in patients with coronavirus disease (COVID-19) after hospital discharge. J Xray Sci Technol. 2020;28(3):383-9. [View at Publisher] [DOI] [PMID] [Google Scholar]
12. Zhao Y-m, Shang Y-m, Song W-b, Li Q-q, Xie H, Xu Q-f, et al. Follow-up study of the pulmonary function and related physiological characteristics of COVID-19 survivors three months after recovery. EClinicalMedicine. 2020;25:100463. [View at Publisher] [DOI] [PMID] [Google Scholar]
13. Han X, Fan Y, Alwalid O, Li N, Jia X, Yuan M, et al. Six-month follow-up chest CT findings after severe COVID-19 pneumonia. Radiology. 2021;299(1):E177-86. [View at Publisher] [DOI] [PMID] [Google Scholar]
14. Yasin R, Gomaa AAK, Ghazy T, Hassanein SA, Ibrahem RAL, Khalifa MH. Predicting lung fibrosis in post-COVID-19 patients after discharge with follow-up chest CT findings. Egypt J Radiol Nucl Med. 2021;52(1):118. [View at Publisher] [DOI] [Google Scholar]
15. You J, Zhang L, Zhang J, Hu F, Chen L, Dong Y, et al. Anormal pulmonary function and residual CT abnormalities in rehabilitating COVID-19 patients after discharge. J Infect. 2020;81(2):e150-2. [View at Publisher] [DOI] [PMID] [Google Scholar]
16. Liao X, Wang Y, He Z, Yun Y, Hu M, Ma Z, et al. Three-month pulmonary function and radiological outcomes in COVID-19 survivors: a longitudinal patient cohort study. Open Forum Infect Dis; 2020;8(9):ofaa540. [View at Publisher] [DOI] [PMID] [Google Scholar]
17. Blanco JR, Cobos-Ceballos MJ, Navarro F, Sanjoaquin I, de Las Revillas FA, Bernal E, et al. Pulmonary long-term consequences of COVID-19 infections after hospital discharge. Clin Microbiol Infect. 2021;27(6):892-6. [View at Publisher] [DOI] [PMID] [Google Scholar]
18. Han X, Fan Y, Alwalid O, Zhang X, Jia X, Zheng Y, et al. Fibrotic interstitial lung abnormalities at 1-year follow-up CT after severe COVID-19. Radiology. 2021;301(3):E438-40. [View at Publisher] [DOI] [PMID] [Google Scholar]
19. Pan F, Yang L, Liang B, Ye T, Li L, Li L, et al. Chest CT Patterns from Diagnosis to 1 Year of Follow-up in Patients with COVID-19. Radiology. 2022;302(3):709-19. [View at Publisher] [DOI] [PMID] [Google Scholar]
20. Zangrillo A, Belletti A, Palumbo D, Calvi MR, Guzzo F, Fominskiy EV, et al. One-year multidisciplinary follow-up of patients with COVID-19 requiring invasive mechanical ventilation. J Cardiothorac Vasc Anesth. 2022;36(5):1354-63. [View at Publisher] [DOI] [PMID] [Google Scholar]
21. Barini M, Percivale I, Danna P, Longo V, Costantini P, Paladini A, et al. 18 months computed tomography follow-up after Covid-19 interstitial pneumonia. J Public Health Res. 2022;11(2):2782. [View at Publisher] [DOI] [PMID] [Google Scholar]
22. Crimi C, Impellizzeri P, Campisi R, Nolasco S, Spanevello A, Crimi N. Practical considerations for spirometry during the COVID-19 outbreak: Literature review and insights. Pulmonology. 2021;27(5):438-47. [View at Publisher] [DOI] [PMID] [Google Scholar]
23. Townsend MC. Spirometry in occupational health-2020. J Occup Environ Med. 2020;62(5):e208-30. [View at Publisher] [DOI] [PMID] [Google Scholar]
24. Liu M, Lv F, Huang Y, Xiao K. Follow-Up Study of the Chest CT Characteristics of COVID-19 Survivors Seven Months After Recovery. Front Med. 2021;8:1-8. [View at Publisher] [DOI] [PMID] [Google Scholar]
25. Papamanoli A, Yoo J, Grewal P, Predun W, Hotelling J, Jacob R, et al. High-dose methylprednisolone in nonintubated patients with severe COVID-19 pneumonia. Eur J Clin Invest. 2021;51(2):e13458. [View at Publisher] [DOI] [PMID] [Google Scholar]
26. Mehta P, McAuley DF, Brown M, Sanchez E, Tattersall RS, Manson JJ. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet. 2020;395(10229):1033-4. [View at Publisher] [DOI] [PMID] [Google Scholar]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Jorjani Biomedicine Journal

Designed & Developed by : Yektaweb