Cargando…
Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients
This study aimed to analyze computed tomographic (CT) imaging features of vaccinated and non-vaccinated COVID-19 patients. The study population of this retrospective single-center cohort study consisted of hospitalized COVID-19 patients who received a chest CT at the study site between July 2021 and...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134716/ https://www.ncbi.nlm.nih.gov/pubmed/37105996 http://dx.doi.org/10.1038/s41598-023-33942-1 |
_version_ | 1785031818148315136 |
---|---|
author | Askani, Esther Mueller-Peltzer, Katharina Madrid, Julian Knoke, Marvin Hasic, Dunja Schlett, Christopher L. Bamberg, Fabian Agarwal, Prerana |
author_facet | Askani, Esther Mueller-Peltzer, Katharina Madrid, Julian Knoke, Marvin Hasic, Dunja Schlett, Christopher L. Bamberg, Fabian Agarwal, Prerana |
author_sort | Askani, Esther |
collection | PubMed |
description | This study aimed to analyze computed tomographic (CT) imaging features of vaccinated and non-vaccinated COVID-19 patients. The study population of this retrospective single-center cohort study consisted of hospitalized COVID-19 patients who received a chest CT at the study site between July 2021 and February 2022. Qualitative scoring systems (RSNA, CO-RADS, COV-RADS), imaging pattern analysis and semi-quantitative scoring of lung changes were assessed. 105 patients (70,47% male, 62.1 ± 16.79 years, 53.3% fully vaccinated) were included in the data analysis. A significant association between vaccination status and the presence of the crazy-paving pattern was observed in univariate analysis and persisted after step-wise adjustment for possible confounders in multivariate analysis (RR: 2.19, 95% CI: [1.23, 2.62], P = 0.024). Scoring systems for probability assessment of the presence of COVID-19 infection showed a significant correlation with the vaccination status in univariate analysis; however, the associations were attenuated after adjustment for virus variant and stage of infection. Semi-quantitative assessment of lung changes due to COVID-19 infection revealed no association with vaccination status. Non-vaccinated patients showed a two-fold higher probability of the crazy-paving pattern compared to vaccinated patients. COVID-19 variants could have a significant impact on the CT-graphic appearance of COVID-19. |
format | Online Article Text |
id | pubmed-10134716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101347162023-04-28 Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients Askani, Esther Mueller-Peltzer, Katharina Madrid, Julian Knoke, Marvin Hasic, Dunja Schlett, Christopher L. Bamberg, Fabian Agarwal, Prerana Sci Rep Article This study aimed to analyze computed tomographic (CT) imaging features of vaccinated and non-vaccinated COVID-19 patients. The study population of this retrospective single-center cohort study consisted of hospitalized COVID-19 patients who received a chest CT at the study site between July 2021 and February 2022. Qualitative scoring systems (RSNA, CO-RADS, COV-RADS), imaging pattern analysis and semi-quantitative scoring of lung changes were assessed. 105 patients (70,47% male, 62.1 ± 16.79 years, 53.3% fully vaccinated) were included in the data analysis. A significant association between vaccination status and the presence of the crazy-paving pattern was observed in univariate analysis and persisted after step-wise adjustment for possible confounders in multivariate analysis (RR: 2.19, 95% CI: [1.23, 2.62], P = 0.024). Scoring systems for probability assessment of the presence of COVID-19 infection showed a significant correlation with the vaccination status in univariate analysis; however, the associations were attenuated after adjustment for virus variant and stage of infection. Semi-quantitative assessment of lung changes due to COVID-19 infection revealed no association with vaccination status. Non-vaccinated patients showed a two-fold higher probability of the crazy-paving pattern compared to vaccinated patients. COVID-19 variants could have a significant impact on the CT-graphic appearance of COVID-19. Nature Publishing Group UK 2023-04-27 /pmc/articles/PMC10134716/ /pubmed/37105996 http://dx.doi.org/10.1038/s41598-023-33942-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Askani, Esther Mueller-Peltzer, Katharina Madrid, Julian Knoke, Marvin Hasic, Dunja Schlett, Christopher L. Bamberg, Fabian Agarwal, Prerana Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients |
title | Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients |
title_full | Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients |
title_fullStr | Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients |
title_full_unstemmed | Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients |
title_short | Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients |
title_sort | pulmonary computed tomographic manifestations of covid-19 in vaccinated and non-vaccinated patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134716/ https://www.ncbi.nlm.nih.gov/pubmed/37105996 http://dx.doi.org/10.1038/s41598-023-33942-1 |
work_keys_str_mv | AT askaniesther pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients AT muellerpeltzerkatharina pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients AT madridjulian pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients AT knokemarvin pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients AT hasicdunja pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients AT schlettchristopherl pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients AT bambergfabian pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients AT agarwalprerana pulmonarycomputedtomographicmanifestationsofcovid19invaccinatedandnonvaccinatedpatients |