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      Evaluation of thorax computed tomographic findings in COVID-19 variant cases

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          Abstract

          Background

          Because of genetic mutations occurring during viral replication, new SARS-CoV-2 variants will continue to emerge. Throughout the COVID-19 pandemic, thorax computed tomographic (CT) findings have played a crucial role in the diagnosis and follow-up of patients with COVID-19. In this study, we compared the thorax CT findings of patients infected with SARS-CoV-2 variants (variant group) with those of patients infected with the non-variant strain (non-variant group) to assess if thorax CT findings may be utilized to discriminate between the groups. Furthermore, we compared demographic and laboratory data between the groups.

          Methods

          The study comprised a total of 77 patients who presented to our hospital with a preliminary diagnosis of COVID-19 based on clinical symptoms, a positive oropharyngeal/nasopharyngeal swab RT-PCR testing, and thorax CT examinations. Patients' laboratory and demographic features as well as thorax CT findings were retrospectively evaluated, and the results were grouped according to RT-PCR results.

          Results

          There were 42 patients in the non-variant group and 35 patients in the variant group. The average age of patients infected with the non-variant strain, alpha variant, and gamma variant was 63.52 ± 14.87 years, 54.86 ± 14.31 years, and 59.4 ± 17.79 years, respectively. The average age of the variant group was significantly lower than that of the non-variant group. There was no significant difference in thorax CT findings between the groups, and consolidation, ground glass densities, and cobblestone pattern in the bilateral lower lobes and peripheral areas were the most common thorax CT findings in both the groups.

          Conclusion

          There is no significant difference in thorax CT findings between the variant and non-variant groups. Therefore, clinical and laboratory characteristics should take precedence over thorax CT findings for distinguishing between patients infected with SARS-CoV-2 variants and the non-variant strain.

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          Most cited references17

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          Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis

          Marco Francone, Franco Iafrate, Giorgio Maria Masci … (2020)
          Objectives To correlate a CT-based semi-quantitative score of pulmonary involvement in COVID-19 pneumonia with clinical staging of disease and laboratory findings. We also aimed to investigate whether CT findings may be predictive of patients’ outcome. Methods From March 6 to March 22, 2020, 130 symptomatic SARS-CoV-2 patients were enrolled for this single-center analysis and chest CT examinations were retrospectively evaluated. A semi-quantitative CT score was calculated based on the extent of lobar involvement (0:0%; 1,  75%; range 0–5; global score 0–25). Data were matched with clinical stages and laboratory findings. Survival curves and univariate and multivariate analyses were performed to evaluate the role of CT score as a predictor of patients’ outcome. Results Ground glass opacities were predominant in early-phase (≤ 7 days since symptoms’ onset), while crazy-paving pattern, consolidation, and fibrosis characterized late-phase disease (> 7 days). CT score was significantly higher in critical and severe than in mild stage (p < 0.0001), and among late-phase than early-phase patients (p < 0.0001). CT score was significantly correlated with CRP (p < 0.0001, r = 0.6204) and D-dimer (p < 0.0001, r = 0.6625) levels. A CT score of ≥ 18 was associated with an increased mortality risk and was found to be predictive of death both in univariate (HR, 8.33; 95% CI, 3.19–21.73; p < 0.0001) and multivariate analysis (HR, 3.74; 95% CI, 1.10–12.77; p = 0.0348). Conclusions Our preliminary data suggest the potential role of CT score for predicting the outcome of SARS-CoV-2 patients. CT score is highly correlated with laboratory findings and disease severity and might be beneficial to speed-up diagnostic workflow in symptomatic cases. Key Points • CT score is positively correlated with age, inflammatory biomarkers, severity of clinical categories, and disease phases. • A CT score ≥ 18 has shown to be highly predictive of patient’s mortality in short-term follow-up. • Our multivariate analysis demonstrated that CT parenchymal assessment may more accurately reflect short-term outcome, providing a direct visualization of anatomic injury compared with non-specific inflammatory biomarkers.
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            Clinical Characteristics of Imported Cases of COVID-19 in Jiangsu Province: A Multicenter Descriptive Study

            Jian Wu, Jun Liu, Xinguo Zhao … (2020)
            Abstract Background We aimed to report the clinical characteristics of imported coronavirus disease-19 (COVID-19) in Jiangsu Province. Methods We retrospectively investigated the clinical, imaging, and laboratory characteristics of confirmed cases of COVID-19 with WHO interim guidance in three Grade ⅢA hospitals of Jiangsu from Jan 22 to Feb 14, 2020. Real time RT-PCR was used to detect the new coronavirus in respiratory samples. Results Of the 80 patients infected with COVID-19, 41 patients were female, with a median age of 46.1 years. Except for 3 severe patients, the rest of the 77 patients exhibited mild or moderate symptoms. 9 patients were unconfirmed until a third-time nucleic acid test. 38 cases had a history of chronic diseases. The main clinical manifestations of the patients were fever and cough, which accounted for 63 cases (78.75%) and 51 cases (-63.75%) respectively. Only 3 patients (3.75%) showed liver dysfunction. Imaging examination showed that 55 patients (-68.75%) showed abnormal, 25 cases (31.25%) had no abnormal density shadow in the parenchyma of both lungs. Up to now, 21 cases were discharged from the hospital, and no patient died. The average length of stay for discharged patients was 8 days. Conclusions Compared with the cases in Wuhan, the cases in Jiangsu exhibited mild or moderate symptoms and no obvious gender susceptivity. The proportion of patients having liver dysfunction and abnormal CT imaging was relatively lower than that of Wuhan. Notably, infected patients may be falsely excluded based on two consecutively negative respiratory pathogenic nucleic acid test results.
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              Genomic diversity of SARS-CoV-2 in Coronavirus Disease 2019 patients

              Zijie Shen, Yan XIAO, Lu Kang … (2020)
              Abstract Background A novel coronavirus (SARS-CoV-2) has infected more than 75,000 individuals and spread to over 20 countries. It is still unclear how fast the virus evolved and how the virus interacts with other microorganisms in the lung. Methods We have conducted metatranscriptome sequencing for the bronchoalveolar lavage fluid of eight SARS-CoV-2 patients, 25 community-acquired pneumonia (CAP) patients, and 20 healthy controls. Results The median number of intra-host variants was 1-4 in SARS-CoV-2 infected patients, which ranged between 0 and 51 in different samples. The distribution of variants on genes was similar to those observed in the population data (110 sequences). However, very few intra-host variants were observed in the population as polymorphism, implying either a bottleneck or purifying selection involved in the transmission of the virus, or a consequence of the limited diversity represented in the current polymorphism data. Although current evidence did not support the transmission of intra-host variants in a person-to-person spread, the risk should not be overlooked. The microbiota in SARS-CoV-2 infected patients was similar to those in CAP, either dominated by the pathogens or with elevated levels of oral and upper respiratory commensal bacteria. Conclusion SARS-CoV-2 evolves in vivo after infection, which may affect its virulence, infectivity, and transmissibility. Although how the intra-host variant spreads in the population is still elusive, it is necessary to strengthen the surveillance of the viral evolution in the population and associated clinical changes.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Respir Investig
                Journal ID (iso-abbrev): Respir Investig
                Title: Respiratory Investigation
                Publisher: Published by Elsevier B.V. on behalf of The Japanese Respiratory Society.
                ISSN (Print): 2212-5345
                ISSN (Electronic): 2212-5353
                Publication date PMC-release: 4 January 2022
                Publication date (Electronic): 4 January 2022
                Affiliations
                [a ]Department of Radiology, Ankara Training and Research Hospital, Ankara, Turkey
                [b ]Department of Infectious Diseases, Ankara Training and Research Hospital, Ankara, Turkey
                [c ]Department of Radiology, Faculty of Medicine, Erzincan Binali Yildirim University, Erzincan, Turkey
                Author notes
                [∗ ]Corresponding author. Department of Radiology, Ankara Training and Research Hospital, Cebeci, Ankara, 06230, Turkey.
                Article
                Publisher Item ID: S2212-5345(21)00215-X
                DOI: 10.1016/j.resinv.2021.11.013
                PMC ID: 8723831
                SO-VID: 6394ca5a-6a45-45b5-9968-23c933a053ad
                Copyright © © 2022 Published by Elsevier B.V. on behalf of The Japanese Respiratory Society.
                License:

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                Date received : 6 October 2021
                Date revision received : 6 November 2021
                Date accepted : 30 November 2021
                Categories
                Subject: Original Article

                Keywords: covid-19,pandemic,variant,thorax ct
                Data availability:
                Keywords: covid-19, pandemic, variant, thorax ct

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