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      Omicron variant and pulmonary involvements: a chest imaging analysis in asymptomatic and mild COVID-19

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          Abstract

          Objectives

          To identify clinical characteristics and risk factors for pulmonary involvements in asymptomatic and mildly symptomatic patients infected with SARS-CoV-2 Omicron variant by chest imaging analysis.

          Methods

          Detailed data and chest computed tomography (CT) imaging features were retrospectively analyzed from asymptomatic and mildly symptomatic patients infected with Omicron between 24 April and 10 May 2022. We scored chest CT imaging features and categorized the patients into obvious pulmonary involvements (OPI) (score > 2) and not obvious pulmonary involvements (NOPI) (score ≤ 2) groups based on the median score. The risk factors for OPI were identified with analysis results visualized by nomogram.

          Results

          In total, 339 patients were included (145 were male and 194 were female), and the most frequent clinical symptoms were cough (75.5%); chest CT imaging features were mostly linear opacities (42.8%). Pulmonary involvements were more likely to be found in the left lower lung lobe, with a significant difference in the lung total severity score of the individual lung lobes ( p < 0.001). Logistic regression analysis revealed age stratification [odds ratio (OR) = 1.92, 95% confidence interval (CI) (1.548–2.383); p < 0.001], prolonged nucleic acid negative conversion time (NCT) (NCT > 8d) [OR = 1.842, 95% CI (1.104–3.073); p = 0.019], and pulmonary diseases [OR = 4.698, 95% CI (1.159–19.048); p = 0.03] as independent OPI risk factors.

          Conclusion

          Asymptomatic and mildly symptomatic patients infected with Omicron had pulmonary involvements which were not uncommon. Potential risk factors for age stratification, prolonged NCT, and pulmonary diseases can help clinicians to identify OPI in asymptomatic and mildly symptomatic patients infected with Omicron.

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          Most cited references41

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          Temporal profiles of viral load in posterior oropharyngeal saliva samples and serum antibody responses during infection by SARS-CoV-2: an observational cohort study

          Summary Background Coronavirus disease 2019 (COVID-19) causes severe community and nosocomial outbreaks. Comprehensive data for serial respiratory viral load and serum antibody responses from patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are not yet available. Nasopharyngeal and throat swabs are usually obtained for serial viral load monitoring of respiratory infections but gathering these specimens can cause discomfort for patients and put health-care workers at risk. We aimed to ascertain the serial respiratory viral load of SARS-CoV-2 in posterior oropharyngeal (deep throat) saliva samples from patients with COVID-19, and serum antibody responses. Methods We did a cohort study at two hospitals in Hong Kong. We included patients with laboratory-confirmed COVID-19. We obtained samples of blood, urine, posterior oropharyngeal saliva, and rectal swabs. Serial viral load was ascertained by reverse transcriptase quantitative PCR (RT-qPCR). Antibody levels against the SARS-CoV-2 internal nucleoprotein (NP) and surface spike protein receptor binding domain (RBD) were measured using EIA. Whole-genome sequencing was done to identify possible mutations arising during infection. Findings Between Jan 22, 2020, and Feb 12, 2020, 30 patients were screened for inclusion, of whom 23 were included (median age 62 years [range 37–75]). The median viral load in posterior oropharyngeal saliva or other respiratory specimens at presentation was 5·2 log10 copies per mL (IQR 4·1–7·0). Salivary viral load was highest during the first week after symptom onset and subsequently declined with time (slope −0·15, 95% CI −0·19 to −0·11; R 2=0·71). In one patient, viral RNA was detected 25 days after symptom onset. Older age was correlated with higher viral load (Spearman's ρ=0·48, 95% CI 0·074–0·75; p=0·020). For 16 patients with serum samples available 14 days or longer after symptom onset, rates of seropositivity were 94% for anti-NP IgG (n=15), 88% for anti-NP IgM (n=14), 100% for anti-RBD IgG (n=16), and 94% for anti-RBD IgM (n=15). Anti-SARS-CoV-2-NP or anti-SARS-CoV-2-RBD IgG levels correlated with virus neutralisation titre (R 2>0·9). No genome mutations were detected on serial samples. Interpretation Posterior oropharyngeal saliva samples are a non-invasive specimen more acceptable to patients and health-care workers. Unlike severe acute respiratory syndrome, patients with COVID-19 had the highest viral load near presentation, which could account for the fast-spreading nature of this epidemic. This finding emphasises the importance of stringent infection control and early use of potent antiviral agents, alone or in combination, for high-risk individuals. Serological assay can complement RT-qPCR for diagnosis. Funding Richard and Carol Yu, May Tam Mak Mei Yin, The Shaw Foundation Hong Kong, Michael Tong, Marina Lee, Government Consultancy Service, and Sanming Project of Medicine.
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            CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)

            In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus (2019-nCoV) were reviewed, with emphasis on identifying and characterizing the most common findings. Typical CT findings included bilateral pulmonary parenchymal ground-glass and consolidative pulmonary opacities, sometimes with a rounded morphology and a peripheral lung distribution. Notably, lung cavitation, discrete pulmonary nodules, pleural effusions, and lymphadenopathy were absent. Follow-up imaging in a subset of patients during the study time window often demonstrated mild or moderate progression of disease, as manifested by increasing extent and density of lung opacities. © RSNA, 2020
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              The biological and clinical significance of emerging SARS-CoV-2 variants

              The past several months have witnessed the emergence of SARS-CoV-2 variants with novel spike protein mutations that are influencing the epidemiological and clinical aspects of the COVID-19 pandemic. These variants can increase rates of virus transmission and/or increase the risk of reinfection and reduce the protection afforded by neutralizing monoclonal antibodies and vaccination. These variants can therefore enable SARS-CoV-2 to continue its spread in the face of rising population immunity while maintaining or increasing its replication fitness. The identification of four rapidly expanding virus lineages since December 2020, designated variants of concern, has ushered in a new stage of the pandemic. The four variants of concern, the Alpha variant (originally identified in the UK), the Beta variant (originally identified in South Africa), the Gamma variant (originally identified in Brazil) and the Delta variant (originally identified in India), share several mutations with one another as well as with an increasing number of other recently identified SARS-CoV-2 variants. Collectively, these SARS-CoV-2 variants complicate the COVID-19 research agenda and necessitate additional avenues of laboratory, epidemiological and clinical research. In this Review, the authors describe our latest understanding of the emergence and properties of SARS-CoV-2 genetic variants, particularly those designated as WHO (World Health Organization) ‘variants of concern’. They focus on the consequences of these variants for antibody-mediated virus neutralization, with important implications for reinfection risk and for vaccine effectiveness. The past several months have witnessed the emergence of four SARS-CoV-2 variants of concern (Alpha, Beta, Gamma and Delta) associated with increased transmissibility, increased risk of reinfection and/or reduced vaccine efficacy. Many additional SARS-CoV-2 variants sharing mutations and biological features with these variants are also increasingly being identified. The increasing number of SARS-CoV-2 variants share a repertoire of mutations that is enabling the virus to spread despite rising population immunity while maintaining or increasing its replication fitness. Whereas most emerging mutations reduce the protective effects of neutralizing antibodies generated by infection and vaccination, several recently identified mutations appear to antagonize the innate immune response to initial infection. The emergence of SARS-CoV-2 variants requires an expanded research agenda to improve our understanding of emerging SARS-CoV-2 mutations and the correlates of protective immunity against variants with these mutations.
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                Author and article information

                Contributors
                Role: Role: Role: Role: Role: Role:
                Role: Role: Role:
                Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2587877/overviewRole: Role: Role:
                Role: Role: Role:
                Role: Role: Role:
                Role: Role: Role:
                Role: Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/1709071/overviewRole: Role: Role: Role:
                Journal
                Front Public Health
                Front Public Health
                Front. Public Health
                Frontiers in Public Health
                Frontiers Media S.A.
                2296-2565
                04 July 2024
                2024
                : 12
                : 1325474
                Affiliations
                [1] 1Department of Critical Care Medicine, The Second Hospital of Nanjing, Affiliated to Nanjing University of Chinese Medicine , Nanjing, Jiangsu, China
                [2] 2Department of Critical Care Medicine, The First Affiliated Hospital of Nanjing Medical University , Nanjing, Jiangsu, China
                [3] 3Department of Comprehensive Internal Medicine, The First Affiliated Hospital of Nanjing Medical University , Nanjing, Jiangsu, China
                [4] 4Department of Radiology, The First Affiliated Hospital of Nanjing Medical University , Nanjing, Jiangsu, China
                Author notes

                Edited by: Ana Afonso, NOVA University of Lisbon, Portugal

                Reviewed by: Hossam Magdy Balaha, University of Louisville, United States

                Richard M. Mariita, Crystal IS Inc., United States

                *Correspondence: Xiangrong Zuo, zuoxiangrong@ 123456njmu.edu.cn

                These authors have contributed equally to this work and share first authorship

                Article
                10.3389/fpubh.2024.1325474
                11258674
                39035180
                ddd2b4da-6609-4b99-905b-cde991d459e7
                Copyright © 2024 Liu, Cao, Dai, Chen, Zhao, Xu, Xu, Cao, Zhan and Zuo.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 21 October 2023
                : 24 June 2024
                Page count
                Figures: 3, Tables: 3, Equations: 0, References: 43, Pages: 9, Words: 6358
                Funding
                The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
                Categories
                Public Health
                Original Research
                Custom metadata
                Infectious Diseases: Epidemiology and Prevention

                chest imaging,clinical features,lung total severity score,pulmonary involvements,sars-cov-2 omicron variant

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