Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 9;90(4):312-322.
doi: 10.3390/arm90040041.

Prognostic Value of Chest-Computed Tomography in Patients with COVID-19

Affiliations

Prognostic Value of Chest-Computed Tomography in Patients with COVID-19

Gökhan Perincek et al. Adv Respir Med. .

Abstract

Background: The diagnostic value for chest CT has been widely established in patients with COVID-19. However, there is a lack of satisfactory data about the prognostic value of chest CTs. This study investigated the prognostic value of chest CTs in COVID-19 patients. Materials and Methods: A total of 521 symptomatic patients hospitalized with COVID-19 were included retrospectively. Clinical, laboratory, and chest CT characteristics were compared between survivors and non-survivors. Concerning chest CT, for each subject, a semi-quantitative CT severity scoring system was applied. Results: Most patients showed typical CT features based on the likelihood of COVID-19. The global CT score was significantly higher in non-survivors (median (IQR), 1 (0−6) vs. 10 (5−13), p < 0.001). A cut-off value of 5.5 for the global CT score predicted in-hospital mortality with 74% sensitivity and 73% specificity. Global CT score, age, C-reactive protein, and diabetes were independent predictors of in-hospital mortality. The global CT score was significantly correlated with the C-reactive protein, D-dimer, pro-brain natriuretic peptide, and procalcitonin levels. Conclusion: The global CT score could provide valuable prognostic data in symptomatic patients with COVID-19.

Keywords: COVID-19; chest CT; computed tomography; mortality; prognosis.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Chest CT findings of COVID-19 showthe CT score of right lower lobe involvement on axial, sagittal, and coronal images. (A) Score 0, 0% involvement; (B) Score 1, <5% involvement; (C) Score 2, 5–25% involvement; (D) Score 3, 26–49% involvement; (E) Score 4, 50–75% involvement; (F) Score 5, >75% involvement. CT: Computed tomography.
Figure 2
Figure 2
Chest CT findings of COVID-19. Transaxial images show (A) Bilateral, peripheral GGO; (B) Bilateral consolidation; (C) Multifocal rounded GGO. CT: computed tomography, GGO: ground-glass opacity.
Figure 3
Figure 3
Diagnostic accuracy of the global CT score on in-hospital mortality in symptomatic patients with COVID-19 by the ROC curve.
Figure 4
Figure 4
Correlation graphics between global CT score and C-reactive protein (A), global CT score and D-dimer (B), global CT score and pro-BNP (C), and global CT score and procalcitonin (D).

Similar articles

References

    1. World Health Organisation. [(accessed on 22 March 2021)]. Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019.
    1. Chen N., Zhou M., Dong X., Qu J., Gong F., Han Y., Qiu Y., Wang J., Liu Y., Wei Y., et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: A descriptive study. Lancet. 2020;395:507–513. doi: 10.1016/S0140-6736(20)30211-7. - DOI - PMC - PubMed
    1. Zou L., Ruan F., Huang M., Liang L., Huang H., Hong Z., Yu J., Kang M., Song Y., Xia J., et al. SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients. N. Engl. J. Med. 2020;382:1177–1179. doi: 10.1056/NEJMc2001737. - DOI - PMC - PubMed
    1. Lauer S.A., Grantz K.H., Bi Q., Jones F.K., Zheng Q., Meredith H.R., Azman A.S., Reich N.G., Lessler J. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Ann. Intern. Med. 2020;172:577–582. doi: 10.7326/M20-0504. - DOI - PMC - PubMed
    1. Gallo Marin B., Aghagoli G., Lavine K., Yang L., Siff E.J., Chiang S.S., Salazar-Mather T.P., Dumenco L., Savaria M.C., Aung S.N., et al. Predictors of COVID-19 severity: A literature review. Rev. Med. Virol. 2021;31:1–10. doi: 10.1002/rmv.2146. - DOI - PMC - PubMed

Substances