Repository of Research and Investigative Information

Repository of Research and Investigative Information

Ilam University of Medical Sciences

Association of chest CT severity score with mortality of COVID-19 patients: a systematic review and meta-analysis

Thu Feb 22 01:34:33 2024

(2022) Association of chest CT severity score with mortality of COVID-19 patients: a systematic review and meta-analysis. Clinical and Translational Imaging. pp. 663-676. ISSN 2281-5872

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Abstract

Purpose Chest computed tomography (CT) is a high-sensitivity diagnostic tool for depicting interstitial pneumonia and may lay a critical role in the evaluation of the severity and extent of pulmonary involvement. In this study, we aimed to evaluate the association of chest CT severity score (CT-SS) with the mortality of COVID-19 patients using systematic review and meta-analysis. Methods Web of Science, PubMed, Embase, Scopus, and Google Scholar were used to search for primary articles. The meta-analysis was performed using the random-effects model, and odds ratios (ORs) with 95 confidence intervals (95CIs) were calculated as the effect sizes. Results This meta-analysis retrieved a total number of 7106 COVID-19 patients. The pooled estimate for the association of CT-SS with mortality of COVID-19 patients was calculated as 1.244 (95 CI 1.157-1.337). The pooled estimate for the association of CT-SS with an optimal cutoff and mortality of COVID-19 patients was calculated as 7.124 (95 CI 5.307-9.563). There was no publication bias in the results of included studies. Radiologist experiences and study locations were not potential sources of between-study heterogeneity (both P > 0.2). The shapes of Begg's funnel plots seemed symmetrical for studies evaluating the association of CT-SS with/without the optimal cutoffs and mortality of COVID-19 patients (Begg's test P = 0.945 and 0.356, respectively). Conclusions The results of this study point to an association between CT-SS and mortality of COVID-19 patients. The odds of mortality for COVID-19 patients could be accurately predicted using an optimal CT-SS cutoff in visual scoring of lung involvement.

Item Type: Article
Creators:
CreatorsEmail
Zakariaee, S. S.UNSPECIFIED
Salmanipour, H.UNSPECIFIED
Naderi, N.UNSPECIFIED
Kazemi-Arpanahi, H.UNSPECIFIED
Shanbehzadeh, M.UNSPECIFIED
Keywords: COVID-19 Computed tomography Mortality CT CT severity score Pneumonia disease 2019 covid-19 adverse outcomes predictive-value initial ct Radiology, Nuclear Medicine & Medical Imaging
Divisions:
Page Range: pp. 663-676
Journal or Publication Title: Clinical and Translational Imaging
Journal Index: ISI
Volume: 10
Number: 6
Identification Number: https://doi.org/10.1007/s40336-022-00512-w
ISSN: 2281-5872
Depositing User: مهندس مهدی شریفی
URI: http://eprints.medilam.ac.ir/id/eprint/4357

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