Journals / Journal of Surgery and Medicine / 2022 / Cilt: 6 - Sayı: 2

The effect of national restrictions on computed tomography severity score and the prognosis of COVID-19

Pages
94–97
Publication Date
2022-02-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: The restrictions did not change the severity of the COVID-19 disease, ICU hospitalization rate, and death rate.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Background/Aim: The SARS-CoV-2 pandemic is spreading rapidly all over the world and has high mortality rates.
📊
Key Findings & Data:Computed Tomography (CT) has an important place in the diagnosis of COVID-19 and patient management.
💡
Conclusion & Impact:Conclusion: The restrictions did not change the severity of the COVID-19 disease, ICU hospitalization rate, and death rate.
🔬Design:Research Article
📍Scope:2020 Verileri
⚙️Variables:COVID-19 · Computed tomography · Restriction period

Abstract

Background/Aim: The SARS-CoV-2 pandemic is spreading rapidly all over the world and has high mortality rates. Governments implement quarantine or restrictions to prevent the virus from getting out of control. Computed Tomography (CT) has an important place in the diagnosis of COVID-19 and patient management. This study aimed to evaluate the changes in chest CT findings and the disease prognosis of COVID-19 pneumonia during the restriction and post-restriction periods. Methods: A total of 1150 patients whose COVID-19 disease was confirmed by a reverse transcriptase-polymerase chain reaction and who underwent chest CT examination between April 1-September 30, 2020 were included in this retrospective cohort study. The participants were categorized into two groups according to CT examination dates, as during (April 1-May 31), and after the restriction periods (June 1-September 30). Each patient's CT severity score (CTSS) was calculated, and the need for admission to the intensive care unit (ICU) and mortality related to COVID-19 were noted for statistical analysis. Results: Of the 1150 cases, 213 were in the restriction period group (RPG), while 937 were in the post-restriction period group (PRPG). The median value of CTSS was 5 in the RPG, and 6 in the PRPG (P=0.095). In the RPG and PRPG, the number of patients who needed ICU admission were 20 (9.4%), and 50 (5.3%), respectively, while 12 (7%) and 39 (4.2%) patients, respectively, died from COVID-19. Both parameters were comparable between the two groups (P=0.073, P=0.060 respectively). Conclusion: The restrictions did not change the severity of the COVID-19 disease, ICU hospitalization rate, and death rate.

🔖

Cite This Article

ÇAKIR, İ. M., BEKCİ, T., ASLAN, S., ERYÜRÜK, U., SÜLÜN, E., AKSOY, İ., YAVUZ, İ. (2022). The effect of national restrictions on computed tomography severity score and the prognosis of COVID-19. Journal of Surgery and Medicine, Cilt: 6 - Sayı: 2, 94–97. https://ajindex.com/articles/777341

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med. 2020;382:727-33
  2. Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020;395:497-506
  3. Aslan S, Bekçi T, Çakır İM, Ekiz M, Yavuz İ, Şahin AM. Diagnostic performance of low-dose chest CT to detect COVID-19: A Turkish population study. Diagn Interv Radiol. 2021 Mar;27(2):181-7
  4. 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: 1072-7
  5. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020;395:1054-62
  6. Giangreco G. Case fatality rate analysis of Italian COVID-19 outbreak. J Med Virol. 2020;92:919-23
  7. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology. 2020;295:715-21
  8. Parmet WE, Sinha MS. Covid-19 - The Law and Limits of Quarantine. N Engl J Med. 2020 Apr 9;382(15):e28
  9. Tang S, Mao Y, Jones RM, Tan Q, Ji JS, Li N, et al. Aerosol transmission of SARS-CoV-2? Evidence, prevention, and control. Environ Int. 2020 Nov;144:106039
  10. Van Doremalen N, Bushmaker T, Morris DH, Holbrook MG, Gamble A, Williamson BN, et al. Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. N. Engl. J. Med. 2020;382:1564–7
  11. Liu Y, Ning Z, Chen Y, Guo M, Liu Y, Gali NK, et al. Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals. Nature. 2020;5827813:557-60
  12. Tellier R, Li Y, Cowling BJ, Tang JW. Recognition of aerosol transmission of infectious agents: a commentary. BMC Infect Dis. 2019;19:101
  13. Lu J, Gu J, Li K, Xu C, Su W, Lai Z, et al. COVID-19 outbreak associated with air conditioning in restaurant, Guangzhou, China, 2020. Emerg Infect Dis. 2020;26:1628-31
  14. Shen Y, Li C, Dong H, Wang Z, Martinez L, Sun Z, et al. Community Outbreak Investigation of SARS-CoV-2 Transmission Among Bus Riders in Eastern China. JAMA Intern Med. 2020 Dec 1;180(12):1665-71
  15. Von Seidlein L, Alabaster G, Deen J, Knudsen J. Crowding has consequences: Prevention and management of COVID-19 in informal urban settlements. Build Environ. 2020;188:107