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Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis
BACKGROUND: A proportion of coronavirus disease 2019 (COVID-19) survivors experience persistent dyspnoea without measurable impairments in lung function. We performed a systematic review and meta-analysis to determine relationships between dyspnoea and imaging abnormalities over time in post-COVID-1...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410398/ https://www.ncbi.nlm.nih.gov/pubmed/37558261 http://dx.doi.org/10.1183/16000617.0253-2022 |
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author | Guinto, Elizabeth Gerayeli, Firoozeh V. Eddy, Rachel L. Lee, Hyun Milne, Stephen Sin, Don D. |
author_facet | Guinto, Elizabeth Gerayeli, Firoozeh V. Eddy, Rachel L. Lee, Hyun Milne, Stephen Sin, Don D. |
author_sort | Guinto, Elizabeth |
collection | PubMed |
description | BACKGROUND: A proportion of coronavirus disease 2019 (COVID-19) survivors experience persistent dyspnoea without measurable impairments in lung function. We performed a systematic review and meta-analysis to determine relationships between dyspnoea and imaging abnormalities over time in post-COVID-19 patients. METHODS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we analysed studies published prior to 15 September 2022 and indexed by Google Scholar, PubMed and LitCOVID which assessed chest imaging in adults ≥3 months after COVID-19. Demographic, chest imaging, spirometric and post-COVID-19 symptom data were extracted. The relationships between imaging abnormalities and dyspnoea, sex and age were determined using a random effects model and meta-regression. RESULTS: 47 studies were included in the meta-analysis (n=3557). The most prevalent computed tomography (CT) imaging abnormality was ground-glass opacities (GGOs) (44.9% (95% CI 37.0–52.9%) at any follow-up time-point). Occurrence of reticulations significantly decreased between early and late follow-up (p=0.01). The prevalence of imaging abnormalities was related to the proportion of patients with dyspnoea (p=0.012). The proportion of females was negatively correlated with the presence of reticulations (p=0.001), bronchiectasis (p=0.001) and consolidations (p=0.025). Age was positively correlated with imaging abnormalities across all modalities (p=0.002) and imaging abnormalities present only on CT (p=0.001) (GGOs (p=0.004) and reticulations (p=0.001)). Spirometric values improved during follow-up but remained within the normal range at all time-points. CONCLUSIONS: Imaging abnormalities were common 3 months after COVID-19 and their occurrence was significantly related to the presence of dyspnoea. This suggests that CT imaging is a sensitive tool for detecting pulmonary abnormalities in patients with dyspnoea, even in the presence of normal spirometric measurements. |
format | Online Article Text |
id | pubmed-10410398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-104103982023-08-10 Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis Guinto, Elizabeth Gerayeli, Firoozeh V. Eddy, Rachel L. Lee, Hyun Milne, Stephen Sin, Don D. Eur Respir Rev Reviews BACKGROUND: A proportion of coronavirus disease 2019 (COVID-19) survivors experience persistent dyspnoea without measurable impairments in lung function. We performed a systematic review and meta-analysis to determine relationships between dyspnoea and imaging abnormalities over time in post-COVID-19 patients. METHODS: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we analysed studies published prior to 15 September 2022 and indexed by Google Scholar, PubMed and LitCOVID which assessed chest imaging in adults ≥3 months after COVID-19. Demographic, chest imaging, spirometric and post-COVID-19 symptom data were extracted. The relationships between imaging abnormalities and dyspnoea, sex and age were determined using a random effects model and meta-regression. RESULTS: 47 studies were included in the meta-analysis (n=3557). The most prevalent computed tomography (CT) imaging abnormality was ground-glass opacities (GGOs) (44.9% (95% CI 37.0–52.9%) at any follow-up time-point). Occurrence of reticulations significantly decreased between early and late follow-up (p=0.01). The prevalence of imaging abnormalities was related to the proportion of patients with dyspnoea (p=0.012). The proportion of females was negatively correlated with the presence of reticulations (p=0.001), bronchiectasis (p=0.001) and consolidations (p=0.025). Age was positively correlated with imaging abnormalities across all modalities (p=0.002) and imaging abnormalities present only on CT (p=0.001) (GGOs (p=0.004) and reticulations (p=0.001)). Spirometric values improved during follow-up but remained within the normal range at all time-points. CONCLUSIONS: Imaging abnormalities were common 3 months after COVID-19 and their occurrence was significantly related to the presence of dyspnoea. This suggests that CT imaging is a sensitive tool for detecting pulmonary abnormalities in patients with dyspnoea, even in the presence of normal spirometric measurements. European Respiratory Society 2023-08-09 /pmc/articles/PMC10410398/ /pubmed/37558261 http://dx.doi.org/10.1183/16000617.0253-2022 Text en Copyright ©The authors 2023 https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org) |
spellingShingle | Reviews Guinto, Elizabeth Gerayeli, Firoozeh V. Eddy, Rachel L. Lee, Hyun Milne, Stephen Sin, Don D. Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis |
title | Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis |
title_full | Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis |
title_fullStr | Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis |
title_full_unstemmed | Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis |
title_short | Post-COVID-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis |
title_sort | post-covid-19 dyspnoea and pulmonary imaging: a systematic review and meta-analysis |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10410398/ https://www.ncbi.nlm.nih.gov/pubmed/37558261 http://dx.doi.org/10.1183/16000617.0253-2022 |
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