THE VALUE OF LUNG LESION PATTERNS ON COMPUTED TOMOGRAPHY IN THE PROGNOSIS OF COVID-19
Main Article Content
Abstract
Objective: To analyze the correlation between different lung lesion patterns on pulmonary computed tomography (CT) and severe clinical prognosis in COVID-19 patients. Subjects and Methods: A retrospective descriptive study including 160 patients diagnosed with COVID-19 by reverse transcription polymerase chain reaction (RT-PCR) testing, with complete medical history information available in electronic medical records, who underwent chest CT scans upon hospital admission at the COVID-19 Treatment Hospital under Hanoi Medical University Hospital from September 2021 to January 2023. Results: Ground-glass opacity (GGO) did not correlate with severe disease progression (mechanical ventilation p = 0.74, ICU admission p = 0.999, mortality p = 0.999). Consolidation, crazy paving, and pleural effusion were significantly associated with higher risks of mechanical ventilation, ICU admission, and mortality compared to other groups [consolidation: 8.8 times (p < 0.001), 2 times (p = 0.022), 2.4 times (p = 0.046); crazy paving: 2.8 times (p = 0.049), 4.2 times (p = 0.049), and 2.3 times (p = 0.031); pleural effusion: 2.4 times (p = 0.027), 1.5 times (p = 0.031), and 2.1 times (p = 0.018)]. Interstitial thickening, vascular enlargement, and bronchiectasis were also associated with increased risk of mechanical ventilation [interstitial thickening: 3.0 times (p = 0.017); vascular enlargement: 3.6 times (p = 0.002); bronchiectasis: 6.9 times (p = 0.002)]. Pericardial effusion increased the risk of ICU admission by 3.8 times compared to the non-effusion group (p = 0.031). Pneumothorax increased mortality risk by 3.7 times compared to the non-pneumothorax group (p = 0.012). The reversed halo sign, nodules, cavitation, and enlarged lymph nodes were not identified as independent prognostic factors in COVID-19 patients. Conclusion: CT imaging features associated with severe clinical prognosis include consolidation, vascular enlargement, crazy paving, bronchiectasis, pleural effusion, pericardial effusion, and pneumothorax.
Article Details
Keywords
COVID-19 pneumonia, lung lesion patterns, ct scanner, severe clinical prognostic factors, mechanical ventilation, ICU admission, mortality.
References

2. Themes UFO. Fleischner Society: Glossary of Terms for Thoracic Imaging. Radiology Key. March 3, 2019. Accessed August 11, 2022. https://radiologykey.com/fleischner-society-glossary-of-terms-for-thoracic-imaging/

3. Betron M, Gottert A, Pulerwitz J, Shattuck D, Stevanovic-Fenn N. Men and COVID-19: Adding a gender lens. Glob Public Health. 2020;15(7):1090-1092. doi:10.1080/17441692.2020.1769702


4. Zhou S, Chen C, Hu Y, Lv W, Ai T, Xia L. Chest CT imaging features and severity scores as biomarkers for prognostic prediction in patients with COVID-19. Ann Transl Med. 2020;8(21): 1449-1449. doi:10.21037/atm-20-3421


5. ARDS Definition Task Force, Ranieri VM, Rubenfeld GD, et al. Acute respiratory distress syndrome: the Berlin Definition. JAMA. 2012; 307(23): 2526-2533. doi:10.1001/jama. 2012.5669


6. Malécot N, Chrusciel J, Sanchez S, et al. Chest CT Characteristics are Strongly Predictive of Mortality in Patients with COVID-19 Pneumonia: A Multicentric Cohort Study. Acad Radiol. 2022; 29(6): 851-860. doi:10.1016/j.acra.2022. 01.010


7. Hu Y, Zhan C, Chen C, Ai T, Xia L. Chest CT findings related to mortality of patients with COVID-19: A retrospective case-series study. PLoS ONE. 2020;15(8). doi:10.1371/journal. pone.0237302


8. Aoki R, Iwasawa T, Hagiwara E, Komatsu S, Utsunomiya D, Ogura T. Pulmonary vascular enlargement and lesion extent on computed tomography are correlated with COVID-19 disease severity. Jpn J Radiol. 2021;39(5):451-458. doi:10.1007/s11604-020-01085-2


9. Peng P, Wang F, Tang ZR, et al. Bronchiectasis is one of the indicators of severe coronavirus disease 2019 pneumonia. Chin Med J (Engl). 2021;134(20):2486. doi:10.1097/CM9. 0000000000001368


10. Wei X, Wang X, Ye L, et al. Pleural effusion as an indicator for the poor prognosis of COVID‐19 patients. Int J Clin Pract. 2021;75(6):e14123. doi:10.1111/ijcp.14123

