Pulmonary computed tomographic manifestations of COVID-19 in vaccinated and non-vaccinated patients

被引:5
作者
Askani, Esther [1 ]
Mueller-Peltzer, Katharina [1 ]
Madrid, Julian [2 ]
Knoke, Marvin [3 ]
Hasic, Dunja [1 ]
Schlett, Christopher L. [1 ]
Bamberg, Fabian [1 ]
Agarwal, Prerana [1 ]
机构
[1] Univ Freiburg, Med Ctr, Dept Diagnost & Intervent Radiol, Hugstetter Str 55, D-79106 Freiburg, Germany
[2] Ortenau Klinikum, Dept Cardiol Pneumol Angiol & Intens Care, Lahr, Germany
[3] Heidelberg Univ, Fac Theol, Dept Protestant Theol, Heidelberg, Germany
关键词
BREAKTHROUGH INFECTIONS; DIAGNOSIS; CT;
D O I
10.1038/s41598-023-33942-1
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:13
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