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Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study

BACKGROUND: Since vaccines against COVID-19 became available, rare breakthrough infections have been reported despite their high efficacies. PURPOSE: To evaluate the clinical and imaging characteristics of patients with COVID-19 breakthrough infections and compare them with those of unvaccinated pat...

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Autores principales: Lee, Jong Eun, Hwang, Minhee, Kim, Yun-Hyeon, Chung, Myung Jin, Sim, Byeong Hak, Chae, Kum Ju, Yoo, Jin Young, Jeong, Yeon Joo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Radiological Society of North America 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131173/
https://www.ncbi.nlm.nih.gov/pubmed/35103535
http://dx.doi.org/10.1148/radiol.213072
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author Lee, Jong Eun
Hwang, Minhee
Kim, Yun-Hyeon
Chung, Myung Jin
Sim, Byeong Hak
Chae, Kum Ju
Yoo, Jin Young
Jeong, Yeon Joo
author_facet Lee, Jong Eun
Hwang, Minhee
Kim, Yun-Hyeon
Chung, Myung Jin
Sim, Byeong Hak
Chae, Kum Ju
Yoo, Jin Young
Jeong, Yeon Joo
author_sort Lee, Jong Eun
collection PubMed
description BACKGROUND: Since vaccines against COVID-19 became available, rare breakthrough infections have been reported despite their high efficacies. PURPOSE: To evaluate the clinical and imaging characteristics of patients with COVID-19 breakthrough infections and compare them with those of unvaccinated patients with COVID-19. MATERIALS AND METHODS: In this retrospective multicenter cohort study, the authors analyzed patient (aged ≥18 years) data from three centers that were registered in an open data repository for COVID-19 between June and August 2021. Hospitalized patients with baseline chest radiographs were divided into three groups according to their vaccination status. Differences between clinical and imaging features were analyzed using the Pearson χ(2) test, Fisher exact test, and analysis of variance. Univariable and multivariable logistic regression analyses were used to evaluate associations between clinical factors, including vaccination status and clinical outcomes. RESULTS: Of the 761 hospitalized patients with COVID-19, the mean age was 47 years and 385 (51%) were women; 47 patients (6%) were fully vaccinated (breakthrough infection), 127 (17%) were partially vaccinated, and 587 (77%) were unvaccinated. Of the 761 patients, 412 (54%) underwent chest CT during hospitalization. Among the patients who underwent CT, the proportions without pneumonia were 22% of unvaccinated patients (71 of 326), 30% of partially vaccinated patients (19 of 64), and 59% of fully vaccinated patients (13 of 22) (P < .001). Fully vaccinated status was associated with a lower risk of requiring supplemental oxygen (odds ratio [OR], 0.24 [95% CI: 0.09, 0.64; P = .005]) and lower risk of intensive care unit admission (OR, 0.08 [95% CI: 0.09, 0.78; P = .02]) compared with unvaccinated status. CONCLUSION: Patients with COVID-19 breakthrough infections had a significantly higher proportion of CT scans without pneumonia compared with unvaccinated patients. Vaccinated patients with breakthrough infections had a lower likelihood of requiring supplemental oxygen and intensive care unit admission. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Schiebler and Bluemke in this issue.
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spelling pubmed-91311732022-06-04 Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study Lee, Jong Eun Hwang, Minhee Kim, Yun-Hyeon Chung, Myung Jin Sim, Byeong Hak Chae, Kum Ju Yoo, Jin Young Jeong, Yeon Joo Radiology Original Research BACKGROUND: Since vaccines against COVID-19 became available, rare breakthrough infections have been reported despite their high efficacies. PURPOSE: To evaluate the clinical and imaging characteristics of patients with COVID-19 breakthrough infections and compare them with those of unvaccinated patients with COVID-19. MATERIALS AND METHODS: In this retrospective multicenter cohort study, the authors analyzed patient (aged ≥18 years) data from three centers that were registered in an open data repository for COVID-19 between June and August 2021. Hospitalized patients with baseline chest radiographs were divided into three groups according to their vaccination status. Differences between clinical and imaging features were analyzed using the Pearson χ(2) test, Fisher exact test, and analysis of variance. Univariable and multivariable logistic regression analyses were used to evaluate associations between clinical factors, including vaccination status and clinical outcomes. RESULTS: Of the 761 hospitalized patients with COVID-19, the mean age was 47 years and 385 (51%) were women; 47 patients (6%) were fully vaccinated (breakthrough infection), 127 (17%) were partially vaccinated, and 587 (77%) were unvaccinated. Of the 761 patients, 412 (54%) underwent chest CT during hospitalization. Among the patients who underwent CT, the proportions without pneumonia were 22% of unvaccinated patients (71 of 326), 30% of partially vaccinated patients (19 of 64), and 59% of fully vaccinated patients (13 of 22) (P < .001). Fully vaccinated status was associated with a lower risk of requiring supplemental oxygen (odds ratio [OR], 0.24 [95% CI: 0.09, 0.64; P = .005]) and lower risk of intensive care unit admission (OR, 0.08 [95% CI: 0.09, 0.78; P = .02]) compared with unvaccinated status. CONCLUSION: Patients with COVID-19 breakthrough infections had a significantly higher proportion of CT scans without pneumonia compared with unvaccinated patients. Vaccinated patients with breakthrough infections had a lower likelihood of requiring supplemental oxygen and intensive care unit admission. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Schiebler and Bluemke in this issue. Radiological Society of North America 2022-02-01 /pmc/articles/PMC9131173/ /pubmed/35103535 http://dx.doi.org/10.1148/radiol.213072 Text en © 2022 by the Radiological Society of North America, Inc. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.
spellingShingle Original Research
Lee, Jong Eun
Hwang, Minhee
Kim, Yun-Hyeon
Chung, Myung Jin
Sim, Byeong Hak
Chae, Kum Ju
Yoo, Jin Young
Jeong, Yeon Joo
Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study
title Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study
title_full Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study
title_fullStr Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study
title_full_unstemmed Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study
title_short Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study
title_sort imaging and clinical features of covid-19 breakthrough infections: a multicenter study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131173/
https://www.ncbi.nlm.nih.gov/pubmed/35103535
http://dx.doi.org/10.1148/radiol.213072
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