Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Prognostic accuracy of visual lung damage computed tomography score for mortality prediction in patients with COVID-19 pneumonia: a systematic review and meta-analysis

Thu Jul 25 23:15:01 2024

(2022) Prognostic accuracy of visual lung damage computed tomography score for mortality prediction in patients with COVID-19 pneumonia: a systematic review and meta-analysis. Egyptian Journal of Radiology and Nuclear Medicine. p. 9.

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Abstract

Background: Chest computed tomography (CT) findings provide great added value in characterizing the extent of disease and severity of pulmonary involvements. Chest CT severity score (CT-SS) could be considered as an appropriate prognostic factor for mortality prediction in patients with COVID-19 pneumonia. In this study, we performed a meta-analysis evaluating the prognostic accuracy of CT-SS for mortality prediction in patients with COVID-19 pneumonia. Methods: A systematic search was conducted on Web of Science, PubMed, Embase, Scopus, and Google Scholar databases between December 2019 and September 2021. The meta-analysis was performed using the randomeffects model, and sensitivity and specificity (with 95CIs) of CT-SS were calculated using the study authors' prespecified threshold. Results: Sensitivity estimates ranged from 0.32 to 1.00, and the pooled estimate of sensitivity was 0.67 95%CI (0.59-0.75). Specificity estimates ranged from 0.53 to 0.95 and the pooled estimate of specificity was 0.79 95%CI (0.74-0.84). Results of meta-regression analysis showed that radiologist experiences did not affect the sensitivity and specificity of CT-SS to predict mortality in COVID-19 patients (P = 0.314 and 0.283, respectively). The test for subgroup differences suggests that study location significantly modifies sensitivity and specificity of CT-SS to predict mortality in COVID-19 patients. The area under the summary receiver operator characteristic (ROC) curve was 0.8248. Conclusion: Our results have shown that CT-SS has acceptable prognostic accuracy for mortality prediction in COVID-19 patients. This simple scoring method could help to improve the management of high-risk patients with COVID-19.

Item Type: Article
Creators:
CreatorsEmail
Zakariaee, S. S.UNSPECIFIED
Naderi, N.UNSPECIFIED
Rezaee, D.UNSPECIFIED
Keywords: COVID-19 Computed tomography Mortality Sensitivity Specificity ct Radiology, Nuclear Medicine & Medical Imaging
Divisions:
Page Range: p. 9
Journal or Publication Title: Egyptian Journal of Radiology and Nuclear Medicine
Journal Index: ISI
Volume: 53
Number: 1
Identification Number: https://doi.org/10.1186/s43055-022-00741-z
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/3910

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