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Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies

BACKGROUND: It remains unclear whether a specific chest CT characteristic is associated with the clinical severity of COVID-19. This meta-analysis was performed to assess the relationship between different chest CT features and severity of clinical presentation in COVID-19. METHODS: PubMed, Embase,...

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Autores principales: Hashemi-madani, Nahid, Emami, Zahra, Janani, Leila, Khamseh, Mohammad E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837254/
https://www.ncbi.nlm.nih.gov/pubmed/33444992
http://dx.doi.org/10.1016/j.clinimag.2020.12.037
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author Hashemi-madani, Nahid
Emami, Zahra
Janani, Leila
Khamseh, Mohammad E.
author_facet Hashemi-madani, Nahid
Emami, Zahra
Janani, Leila
Khamseh, Mohammad E.
author_sort Hashemi-madani, Nahid
collection PubMed
description BACKGROUND: It remains unclear whether a specific chest CT characteristic is associated with the clinical severity of COVID-19. This meta-analysis was performed to assess the relationship between different chest CT features and severity of clinical presentation in COVID-19. METHODS: PubMed, Embase, Scopus, web of science databases (WOS), Cochrane library, and Google scholar were searched up to May 19, 2020 for observational studies that assessed the relationship of different chest CT manifestations and the severity of clinical presentation in COVID-19 infection. Risk of bias assessment was evaluated applying the Newcastle-Ottawa Scale. A random-effects model or fixed-effects model, as appropriately, were used to pool results. Heterogeneity was assessed using Forest plot, Cochran's Q test, and I2. Publication bias was assessed applying Egger's test. RESULTS: A total of 18 studies involving 3323 patients were included. Bronchial wall thickening (OR 11.64, 95% CI 1.81–74.66) was more likely to be associated with severe cases of COVID-19 infection, followed by crazy paving (OR 7.60, 95% CI 3.82–15.14), linear opacity (OR 3.27, 95% CI 1.10–9.70), and GGO (OR 1.37, 95% CI 1.08–1.73). However, there was no significant association between the presence of consolidation and severity of clinical presentation (OR 2.33, 95% CI 0.85–6.36). Considering the lesion distribution bilateral lung involvement was more frequently associated with severe clinical presentation (OR 3.44, 95% CI 1.74–6.79). CONCLUSIONS: Our meta-analysis of observational studies indicates some specific chest CT features are associated with clinical severity of COVID-19.
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spelling pubmed-78372542021-01-26 Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies Hashemi-madani, Nahid Emami, Zahra Janani, Leila Khamseh, Mohammad E. Clin Imaging Cardiothoracic Imaging BACKGROUND: It remains unclear whether a specific chest CT characteristic is associated with the clinical severity of COVID-19. This meta-analysis was performed to assess the relationship between different chest CT features and severity of clinical presentation in COVID-19. METHODS: PubMed, Embase, Scopus, web of science databases (WOS), Cochrane library, and Google scholar were searched up to May 19, 2020 for observational studies that assessed the relationship of different chest CT manifestations and the severity of clinical presentation in COVID-19 infection. Risk of bias assessment was evaluated applying the Newcastle-Ottawa Scale. A random-effects model or fixed-effects model, as appropriately, were used to pool results. Heterogeneity was assessed using Forest plot, Cochran's Q test, and I2. Publication bias was assessed applying Egger's test. RESULTS: A total of 18 studies involving 3323 patients were included. Bronchial wall thickening (OR 11.64, 95% CI 1.81–74.66) was more likely to be associated with severe cases of COVID-19 infection, followed by crazy paving (OR 7.60, 95% CI 3.82–15.14), linear opacity (OR 3.27, 95% CI 1.10–9.70), and GGO (OR 1.37, 95% CI 1.08–1.73). However, there was no significant association between the presence of consolidation and severity of clinical presentation (OR 2.33, 95% CI 0.85–6.36). Considering the lesion distribution bilateral lung involvement was more frequently associated with severe clinical presentation (OR 3.44, 95% CI 1.74–6.79). CONCLUSIONS: Our meta-analysis of observational studies indicates some specific chest CT features are associated with clinical severity of COVID-19. Elsevier Inc. 2021-06 2021-01-05 /pmc/articles/PMC7837254/ /pubmed/33444992 http://dx.doi.org/10.1016/j.clinimag.2020.12.037 Text en © 2021 Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Cardiothoracic Imaging
Hashemi-madani, Nahid
Emami, Zahra
Janani, Leila
Khamseh, Mohammad E.
Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies
title Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies
title_full Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies
title_fullStr Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies
title_full_unstemmed Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies
title_short Typical chest CT features can determine the severity of COVID-19: A systematic review and meta-analysis of the observational studies
title_sort typical chest ct features can determine the severity of covid-19: a systematic review and meta-analysis of the observational studies
topic Cardiothoracic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837254/
https://www.ncbi.nlm.nih.gov/pubmed/33444992
http://dx.doi.org/10.1016/j.clinimag.2020.12.037
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