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Binay UD, Karavaş E, Karakeçili F, Barkay O, Aydin S, Şenbil DC. Effect of vaccination status on CORADS and computed tomography severity score in hospitalized COVID-19 patients: A retrospective study. World J Methodol 2023; 13:456-465. [PMID: 38229950 PMCID: PMC10789104 DOI: 10.5662/wjm.v13.i5.456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/06/2023] [Accepted: 12/07/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic is continuing. The disease most commonly affects the lungs. Since the beginning of the pandemic thorax computed tomography (CT) has been an indispensable imaging method for diagnosis and follow-up. The disease is tried to be controlled with vaccines. Vaccination reduces the possibility of a severe course of the disease. AIM The aim of this study is to investigate whether the vaccination status of patients hospitalized due to COVID-19 has an effect on the CT severity score (CT-SS) and CORADS score obtained during hospitalization. METHODS The files of patients hospitalized between April 1, 2021 and April 1, 2022 due to COVID-19 were retrospectively reviewed. A total of 224 patients who were older than 18 years of age, whose vaccination status was accessible, whose severe acute respiratory syndrome coronavirus 2 polymerase chain reaction result was positive, and who had a Thorax CT scan during hospitalization were included in the study. RESULTS Among the patients included in the study, 52.2% were female and the mean age was 61.85 years. The patients applied to the hospital on the average 7th day of their complaints. While 63 patients were unvaccinated (Group 1), 20 were vaccinated with a single dose of CoronaVac (Group 2), 24 with a single dose of BioNTech (Group 3), 38 with 2 doses of CoronaVac (Group 4), 40 with 2 doses of BioNTech (Group 5), and 39 with 3 doses of vaccine (2 doses of CoronaVac followed by a single dose of BioNTech, Group 6). CT-SS ranged from 5 to 23, with a mean of 12.17.CT-SS mean of the groups were determined as 14.17, 13.35, 11.58, 10.87, 11.28, 10.85, respectively. Accordingly, as a result of the comparisons between the groups, the CT-SS levels of the unvaccinated patients found to be significantly higher than the other groups. As the vaccination rates increased, the rate of typical COVID-19 findings on CT was found to be significantly lower. CONCLUSION Increased vaccination rates in COVID-19 patients reduce the probability of typical COVID-19 symptoms in the lungs. It also reduces the risk of severe disease and decreases CT Severity Scores. This may lead to a loss of importance of Thorax CT in the diagnosis of COVID-19 pneumonia as the end of the pandemic approaches.
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Affiliation(s)
- Umut Devrim Binay
- Department of Infectious Diseases and Clinical Microbiology, Erzincan Binali Yildirim University, Faculty of Medicine, Erzincan 24000, Turkey
| | - Erdal Karavaş
- Department of Radiology, Bandırma 17 Eylül University, Faculty of Medicine, Balıkesir 10200, Turkey
| | - Faruk Karakeçili
- Department of Infectious Diseases and Clinical Microbiology, Erzincan Binali Yildirim University, Faculty of Medicine, Erzincan 24000, Turkey
| | - Orçun Barkay
- Department of Infectious Diseases and Clinical Microbiology, Erzincan Binali Yildirim University, Faculty of Medicine, Erzincan 24000, Turkey
| | - Sonay Aydin
- Department of Radiology, Erzincan Binali Yıldırım University, Faculty of Medicine, Erzincan 24000, Turkey
| | - Düzgün Can Şenbil
- Department of Radiology, Erzincan Binali Yıldırım University, Faculty of Medicine, Erzincan 24000, Turkey
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Chest computed tomography of suspected COVID-19 pneumonia in the Emergency Department: comparative analysis between patients with different vaccination status. Pol J Radiol 2023; 88:e80-e88. [PMID: 36910888 PMCID: PMC9995244 DOI: 10.5114/pjr.2023.125010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Accepted: 10/25/2022] [Indexed: 03/06/2023] Open
Abstract
Purpose To identify differences in chest computed tomography (CT) of the symptomatic coronavirus disease 2019 (COVID-19) population according to the patients' severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination status (non-vaccinated, vaccinated with incomplete or complete vaccination cycle). Material and methods CT examinations performed in the Emergency Department (ED) in May-November 2021 for suspected COVID-19 pneumonia with a positive SARS-CoV-2 test were retrospectively included. Personal data were compared for vaccination status. One 13-year experienced radiologist and two 4th-year radiology residents independently evaluated chest CT scans according to CO-RADS and ACR COVID classifications. In possible COVID-19 pneumonia cases, defined as CO-RADS 3 to 5 (ACR indeterminate and typical) by each reader, high involvement CT score (≥ 25%) and CT patterns (presence of ground glass opacities, consolidations, crazy paving areas) were compared for vaccination status. Results 184 patients with known vaccination status were included in the analysis: 111 non-vaccinated (60%) for SARS-CoV-2 infection, 21 (11%) with an incomplete vaccination cycle, and 52 (28%) with a complete vaccination cycle (6 different vaccine types). Multivariate logistic regression showed that the only factor predicting the absence of pneumonia (CO-RADS 1 and ACR negative cases) for the 3 readers was a complete vaccination cycle (OR = 12.8-13.1compared to non-vaccinated patients, p ≤ 0.032). Neither CT score nor CT patterns of possible COVID-19 pneumonia showed any statistically significant correlation with vaccination status for the 3 readers. Conclusions Symptomatic SARS-CoV-2-infected patients with a complete vaccination cycle had much higher odds of showing a negative CT chest examination in ED compared to non-vaccinated patients. Neither CT involvement nor CT patterns of interstitial pneumonia showed differences across different vaccination status.
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Muacevic A, Adler JR, Bagali S, Karigoudar R, Wavare DS, P J, Kandi V, Suvvari TK, Mittal RJ, Jadhav M. Breakthrough Infections: Clinical Profile and Outcomes of COVID-19 Vaccinated and Unvaccinated People From a Tertiary Care Hospital. Cureus 2022; 14:e32089. [PMID: 36601158 PMCID: PMC9803927 DOI: 10.7759/cureus.32089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/30/2022] [Indexed: 12/04/2022] Open
Abstract
Introduction Despite the availability of a vaccine and extensive vaccination, breakthrough infections are commonly noted, which is jeopardizing the vaccine-based protection against COVID-19. The present study aims to evaluate COVID-19 breakthrough infections and to compare the clinical profile and outcomes of the vaccinated and unvaccinated populations. Methods A retrospective observational study was conducted for two months (March-April 2021), and all cases reported during the study period were included in the study. Socio-demographic details, COVID-19 profiles, clinical outcomes, vaccination statuses, and types of vaccine were collected from the patients. Further, COVID-19-positive samples were screened for lineages using next-generation sequencing (NGS). Results Of the total 103 patients included in the study, 79 (76.7%) were symptomatic and 24 (23.3%) were asymptomatic. Only 32% were vaccinated and 68% were unvaccinated. 29.2% were hospitalized due to COVID-19 and all of them were unvaccinated. The mortality among hospitalized patients was extremely high (60%). The time to positivity after complete vaccination was noted to be 37.09±23.74 days. The unvaccinated study participants showed lower Cycle threshold (Ct) values (E Gene/N Gene: 17.38±4.53) as compared to the vaccinated people (E Gene/N Gene: 22±4.25). The Delta (B. 1.1. 629) (76.7%) was the predominant variant among the study population followed by AY.4 (20.4%) and Kappa (2.9%) variants. Conclusion Although the vaccination does not restrict/avoid infection, it appears to protect the vaccinated people from severe forms of COVID-19. Also, the higher Ct values among vaccinated people indicate that the viral load among such people may be lower and, therefore, minimizes viral transmission.
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Wei H, Shao Z, Tai J, Fu F, Lv C, Guo Z, Wu Y, Chen L, Bai Y, Wu Q, Yu X, Mu X, Shao F, Wang M. Analysis of CT signs, radiomic features and clinical characteristics for delta variant COVID-19 patients with different vaccination status. BMC Med Imaging 2022; 22:209. [PMID: 36447133 PMCID: PMC9832212 DOI: 10.1186/s12880-022-00937-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 11/14/2022] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To explore the characteristics of peripheral blood, high resolution computed tomography (HRCT) imaging and the radiomics signature (RadScore) in patients infected with delta variant virus under different coronavirus disease (COVID-19) vaccination status. METHODS 123 patients with delta variant virus infection collected from November 1, 2021 to March 1, 2022 were analyzed retrospectively. According to COVID-19 vaccination Status, they were divided into three groups: Unvaccinated group, partially vaccinated group and full vaccination group. The peripheral blood, chest HRCT manifestations and RadScore of each group were analyzed and compared. RESULTS The mean lymphocyte count 1.22 ± 0.49 × 10^9/L, CT score 7.29 ± 3.48, RadScore 0.75 ± 0.63 in the unvaccinated group; The mean lymphocyte count 1.55 ± 0.70 × 10^9/L, CT score 5.27 ± 2.72, RadScore 1.03 ± 0.46 in the partially vaccinated group; The mean lymphocyte count 1.87 ± 0.70 × 10^9/L, CT score 3.59 ± 3.14, RadScore 1.23 ± 0.29 in the fully vaccinated group. There were significant differences in lymphocyte count, CT score and RadScore among the three groups (all p < 0.05); Compared with the other two groups, the lung lesions in the unvaccinated group were more involved in multiple lobes, of which 26 cases involved the whole lung. CONCLUSIONS Through the analysis of clinical features, pulmonary imaging features and radiomics, we confirmed the positive effect of COVID-19 vaccine on pulmonary inflammatory symptoms and lymphocyte count (immune system) during delta mutant infection.
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Affiliation(s)
- Huanhuan Wei
- grid.414011.10000 0004 1808 090XAcademy of Medical Sciences, The People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Zehua Shao
- grid.414011.10000 0004 1808 090XHeart Center of Zhengzhou University People’s Hospital, Henan Provincial People’s Hospital, Zhengzhou, 450003 Henan People’s Republic of China
| | - Jianqing Tai
- grid.417239.aThe First People’s Hospital of Zhengzhou, 56 East Street, Zhengzhou, 450004 Henan China
| | - Fangfang Fu
- grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Chuanjian Lv
- grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Zhiping Guo
- grid.417239.aThe First People’s Hospital of Zhengzhou, 56 East Street, Zhengzhou, 450004 Henan China
| | - Yaping Wu
- grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Lijuan Chen
- grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Yan Bai
- grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Qingxia Wu
- Beijing United Imaging Research Institute of Intelligent Imaging, Beijing, 100089 China
| | - Xuan Yu
- grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Xinling Mu
- grid.417239.aThe First People’s Hospital of Zhengzhou, 56 East Street, Zhengzhou, 450004 Henan China
| | - Fengmin Shao
- grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
| | - Meiyun Wang
- grid.414011.10000 0004 1808 090XAcademy of Medical Sciences, The People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China ,grid.414011.10000 0004 1808 090XDepartment of Medical Imaging, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, 7 Weiwu Road, Zhengzhou, 450003 Henan China
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