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Nederlof RA, de la Garza MA, Bakker J. Perspectives on SARS-CoV-2 Cases in Zoological Institutions. Vet Sci 2024; 11:78. [PMID: 38393096 PMCID: PMC10893009 DOI: 10.3390/vetsci11020078] [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: 01/06/2024] [Revised: 01/30/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in a zoological institution were initially reported in March 2020. Since then, at least 94 peer-reviewed cases have been reported in zoos worldwide. Among the affected animals, nonhuman primates, carnivores, and artiodactyls appear to be most susceptible to infection, with the Felidae family accounting for the largest number of reported cases. Clinical symptoms tend to be mild across taxa; although, certain species exhibit increased susceptibility to disease. A variety of diagnostic tools are available, allowing for initial diagnostics and for the monitoring of infectious risk. Whilst supportive therapy proves sufficient in most cases, monoclonal antibody therapy has emerged as a promising additional treatment option. Effective transmission of SARS-CoV-2 in some species raises concerns over potential spillover and the formation of reservoirs. The occurrence of SARS-CoV-2 in a variety of animal species may contribute to the emergence of variants of concern due to altered viral evolutionary constraints. Consequently, this review emphasizes the need for effective biosecurity measures and surveillance strategies to prevent and control SARS-CoV-2 infections in zoological institutions.
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Affiliation(s)
| | - Melissa A. de la Garza
- Michale E. Keeling Center for Comparative Medicine and Research, University of Texas MD Anderson Cancer Center, Bastrop, TX 78602, USA
| | - Jaco Bakker
- Biomedical Primate Research Centre, 2288 GJ Rijswijk, The Netherlands
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2
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Ghafari M, Hall M, Golubchik T, Ayoubkhani D, House T, MacIntyre-Cockett G, Fryer HR, Thomson L, Nurtay A, Kemp SA, Ferretti L, Buck D, Green A, Trebes A, Piazza P, Lonie LJ, Studley R, Rourke E, Smith DL, Bashton M, Nelson A, Crown M, McCann C, Young GR, Santos RAND, Richards Z, Tariq MA, Cahuantzi R, Barrett J, Fraser C, Bonsall D, Walker AS, Lythgoe K. Prevalence of persistent SARS-CoV-2 in a large community surveillance study. Nature 2024; 626:1094-1101. [PMID: 38383783 PMCID: PMC10901734 DOI: 10.1038/s41586-024-07029-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 01/04/2024] [Indexed: 02/23/2024]
Abstract
Persistent SARS-CoV-2 infections may act as viral reservoirs that could seed future outbreaks1-5, give rise to highly divergent lineages6-8 and contribute to cases with post-acute COVID-19 sequelae (long COVID)9,10. However, the population prevalence of persistent infections, their viral load kinetics and evolutionary dynamics over the course of infections remain largely unknown. Here, using viral sequence data collected as part of a national infection survey, we identified 381 individuals with SARS-CoV-2 RNA at high titre persisting for at least 30 days, of which 54 had viral RNA persisting at least 60 days. We refer to these as 'persistent infections' as available evidence suggests that they represent ongoing viral replication, although the persistence of non-replicating RNA cannot be ruled out in all. Individuals with persistent infection had more than 50% higher odds of self-reporting long COVID than individuals with non-persistent infection. We estimate that 0.1-0.5% of infections may become persistent with typically rebounding high viral loads and last for at least 60 days. In some individuals, we identified many viral amino acid substitutions, indicating periods of strong positive selection, whereas others had no consensus change in the sequences for prolonged periods, consistent with weak selection. Substitutions included mutations that are lineage defining for SARS-CoV-2 variants, at target sites for monoclonal antibodies and/or are commonly found in immunocompromised people11-14. This work has profound implications for understanding and characterizing SARS-CoV-2 infection, epidemiology and evolution.
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Affiliation(s)
- Mahan Ghafari
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Department of Biology, University of Oxford, Oxford, UK.
- Pandemic Science Institute, University of Oxford, Oxford, UK.
| | - Matthew Hall
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Pandemic Science Institute, University of Oxford, Oxford, UK
| | - Tanya Golubchik
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Sydney Infectious Diseases Institute (Sydney ID), School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Daniel Ayoubkhani
- Office for National Statistics, Newport, UK
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK
| | - Thomas House
- Department of Mathematics, University of Manchester, Manchester, UK
| | - George MacIntyre-Cockett
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Helen R Fryer
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Laura Thomson
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Pandemic Science Institute, University of Oxford, Oxford, UK
| | - Anel Nurtay
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Steven A Kemp
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Department of Biology, University of Oxford, Oxford, UK
- Pandemic Science Institute, University of Oxford, Oxford, UK
| | - Luca Ferretti
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Pandemic Science Institute, University of Oxford, Oxford, UK
| | - David Buck
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Angie Green
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Amy Trebes
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Paolo Piazza
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Lorne J Lonie
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | | | | | - Darren L Smith
- The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Matthew Bashton
- The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Andrew Nelson
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Matthew Crown
- The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Clare McCann
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Gregory R Young
- The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Rui Andre Nunes Dos Santos
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Zack Richards
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | - Mohammad Adnan Tariq
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, UK
| | | | | | - Christophe Fraser
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Pandemic Science Institute, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Wellcome Sanger Institute, Cambridge, UK
| | - David Bonsall
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK
- Pandemic Science Institute, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headington, Oxford, UK
| | - Ann Sarah Walker
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, UK
- The National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, UK
- MRC Clinical Trials Unit at UCL, UCL, London, UK
| | - Katrina Lythgoe
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
- Department of Biology, University of Oxford, Oxford, UK.
- Pandemic Science Institute, University of Oxford, Oxford, UK.
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de Diego C, Lasierra AB, López-Vergara L, Torralba L, Ruiz de Gopegui P, Lahoz R, Abadía C, Godino J, Cebollada A, Jimeno B, Bello C, Tejada A, Bello S. What is the actual relationship between neutrophil extracellular traps and COVID-19 severity? A longitudinal study. Respir Res 2024; 25:48. [PMID: 38243237 PMCID: PMC10797938 DOI: 10.1186/s12931-023-02650-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 12/21/2023] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND Neutrophil extracellular traps (NETs) have repeatedly been related to COVID-19 severity and mortality. However, there is no consensus on their quantification, and there are scarce data on their evolution during the disease. We studied circulating NET markers in patients with COVID-19 throughout their hospitalization. METHODS We prospectively included 93 patients (201 blood samples), evaluating the disease severity in 3 evolutionary phases (viral, early, and late inflammation). Of these, 72 had 180 samples in various phases. We also evaluated 55 controls with similar age, sex and comorbidities. We measured 4 NET markers in serum: cfDNA, CitH3, and MPO-DNA and NE-DNA complexes; as well as neutrophil-related cytokines IL-8 and G-CSF. RESULTS The COVID-19 group had higher CitH3 (28.29 vs 20.29 pg/mL, p = 0.022), and cfDNA, MPO-DNA, and NE-DNA (7.87 vs 2.56 ng/mL; 0.80 vs 0.52 and 1.04 vs 0.72, respectively, p < 0.001 for all) than the controls throughout hospitalisation. cfDNA was the only NET marker clearly related to severity, and it remained higher in non-survivors during the 3 phases. Only cfDNA was an independent risk factor for mortality and need for intensive care. Neutrophil count, IL-8, and G-CSF were significantly related to severity. MPO-DNA and NE-DNA showed significant correlations (r: 0.483, p < 0.001), including all 3 phases and across all severity grades, and they only remained significantly higher on days 10-16 of evolution in those who died. Correlations among the other NET markers were lower than expected. CONCLUSIONS The circulating biomarkers of NETs were present in patients with COVID-19 throughout hospitalization. cfDNA was associated with severity and mortality, but the three other markers showed little or no association with these outcomes. Neutrophil activity and neutrophil count were also associated with severity. MPO-DNA and NE-DNA better reflected NET formation. cfDNA appeared to be more associated with overall tissue damage; previous widespread use of this marker could have overestimated the relationship between NETs and severity. Currently, there are limitations to accurate NET markers measurement that make it difficult to assess its true role in COVID-19 pathogenesis.
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Affiliation(s)
- Cristina de Diego
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel la Católica 1-9, 50009, Zaragoza, Spain
| | | | - Lucía López-Vergara
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel la Católica 1-9, 50009, Zaragoza, Spain
| | - Laura Torralba
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel la Católica 1-9, 50009, Zaragoza, Spain
| | | | - Raquel Lahoz
- Department of Biochemistry. Miguel, Servet University Hospital, Zaragoza, Spain
| | - Claudia Abadía
- Department of Biochemistry. Miguel, Servet University Hospital, Zaragoza, Spain
| | - Javier Godino
- Department of Cytometry and Cell Separation, Aragon Institute of Health Sciences (IACS), Zaragoza, Spain
| | - Alberto Cebollada
- Biocomputing Technical Scientific Service, Aragon Institute of Health Sciences (IACS), Zaragoza, Spain
| | - Beatriz Jimeno
- Department of Cytometry and Cell Separation, Aragon Institute of Health Sciences (IACS), Zaragoza, Spain
| | - Carlota Bello
- Department of Radiology, Hospital Clínico Lozano Blesa, Zaragoza, Spain
| | - Antonio Tejada
- Intensive Care Unit, Miguel Servet University Hospital, Zaragoza, Spain
| | - Salvador Bello
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel la Católica 1-9, 50009, Zaragoza, Spain.
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Maruyama K, Sekiya K, Yanagida N, Nakayama K, Kushida Y, Yasuda S, Fukumoto D, Hosoya S, Moriya H, Katsumi M. Analysis of the Factors That Affect the Detection Duration of SARS-CoV-2 in Loop Mediated Isothermal Amplification among COVID-19 Inpatients. Jpn J Infect Dis 2023; 76:282-288. [PMID: 37258175 DOI: 10.7883/yoken.jjid.2023.095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
In COVID-19 patients who are immunocompromised or have severe COVID-19, the duration of infectious viral shedding may be longer, and a longer isolation duration is recommended. At the National Sagamihara Hospital, a decline in the viral load to end the isolation of hospitalized patients with COVID-19 was confirmed using loop-mediated isothermal amplification (LAMP). However, a subset of patients displayed LAMP positivity for more than 20 days after symptom onset. Therefore, we conducted a retrospective observational study to investigate the factors that affect the persistence of LAMP positivity. This study included a total of 102 participants. The severity of COVID-19 was mild (25.5%), moderate (67.6%), or severe (6.9%). The median number (interquartile range) of days until negative LAMP results from symptom onset were 16 (14-19) days. Multivariate logistic regression analysis showed that patients ≥55 years and/or those with the delta variant were correlated with persistent LAMP positivity for more than 20 days after symptom onset. This study identified age, the delta variant, and oxygen requirement as factors that contribute to persistently positive LAMP results. Therefore, it is posited that in these patients, the implementation of LAMP for deisolation would result in a prolonged isolation duration.
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Affiliation(s)
- Kohei Maruyama
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Pharmacy, National Hospital Organization Sagamihara National Hospital, Japan
| | - Kiyoshi Sekiya
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Clinical Research Center for Allergy and Rheumatology, National Hospital Organization Sagamihara National Hospital, Japan
| | - Noriyuki Yanagida
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Pediatrics, National Hospital Organization Sagamihara National Hospital, Japan
| | - Kanae Nakayama
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Clinical Laboratory, National Hospital Organization Sagamihara National Hospital, Japan
| | - Yusuke Kushida
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Pharmacy, National Hospital Organization Sagamihara National Hospital, Japan
| | - Shuhei Yasuda
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Clinical Laboratory, National Hospital Organization Sagamihara National Hospital, Japan
| | - Daisuke Fukumoto
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Nursing, National Hospital Organization Sagamihara National Hospital, Japan
| | - Satoshi Hosoya
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Emergency and Critical Care Medicine, National Hospital Organization Sagamihara National Hospital, Japan
| | - Hiromitsu Moriya
- Department of Infection Control and Prevention, National Hospital Organization Sagamihara National Hospital, Japan
- Department of Surgery, National Hospital Organization Sagamihara National Hospital, Japan
| | - Manabu Katsumi
- Department of Pharmacy, National Hospital Organization Sagamihara National Hospital, Japan
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5
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Zhou Z, Li D, Zhao Z, Shi S, Wu J, Li J, Zhang J, Gui K, Zhang Y, Ouyang Q, Mei H, Hu Y, Li F. Dynamical modelling of viral infection and cooperative immune protection in COVID-19 patients. PLoS Comput Biol 2023; 19:e1011383. [PMID: 37656752 PMCID: PMC10501599 DOI: 10.1371/journal.pcbi.1011383] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 09/14/2023] [Accepted: 07/24/2023] [Indexed: 09/03/2023] Open
Abstract
Once challenged by the SARS-CoV-2 virus, the human host immune system triggers a dynamic process against infection. We constructed a mathematical model to describe host innate and adaptive immune response to viral challenge. Based on the dynamic properties of viral load and immune response, we classified the resulting dynamics into four modes, reflecting increasing severity of COVID-19 disease. We found the numerical product of immune system's ability to clear the virus and to kill the infected cells, namely immune efficacy, to be predictive of disease severity. We also investigated vaccine-induced protection against SARS-CoV-2 infection. Results suggested that immune efficacy based on memory T cells and neutralizing antibody titers could be used to predict population vaccine protection rates. Finally, we analyzed infection dynamics of SARS-CoV-2 variants within the construct of our mathematical model. Overall, our results provide a systematic framework for understanding the dynamics of host response upon challenge by SARS-CoV-2 infection, and this framework can be used to predict vaccine protection and perform clinical diagnosis.
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Affiliation(s)
- Zhengqing Zhou
- School of Physics, Center for Quantitative Biology, Peking University, Beijing, China
| | - Dianjie Li
- School of Physics, Center for Quantitative Biology, Peking University, Beijing, China
| | - Ziheng Zhao
- Department of Immunology, School of Basic Medical Sciences, NHC Key Laboratory of Medical Immunology, Peking University, Beijing, China
| | - Shuyu Shi
- Peking University Third Hospital, Peking University, Beijing, China
| | - Jianghua Wu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianwei Li
- School of Physics, Center for Quantitative Biology, Peking University, Beijing, China
| | - Jingpeng Zhang
- School of Physics, Center for Quantitative Biology, Peking University, Beijing, China
| | - Ke Gui
- Department of Immunology, School of Basic Medical Sciences, NHC Key Laboratory of Medical Immunology, Peking University, Beijing, China
| | - Yu Zhang
- Department of Immunology, School of Basic Medical Sciences, NHC Key Laboratory of Medical Immunology, Peking University, Beijing, China
| | - Qi Ouyang
- School of Physics, Center for Quantitative Biology, Peking University, Beijing, China
| | - Heng Mei
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Hu
- Institute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fangting Li
- School of Physics, Center for Quantitative Biology, Peking University, Beijing, China
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6
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Lin Y, Wu P, Tsang TK, Wong JY, Lau EHY, Yang B, Leung GM, Cowling BJ. Viral kinetics of SARS-CoV-2 following onset of COVID-19 in symptomatic patients infected with the ancestral strain and omicron BA.2 in Hong Kong: a retrospective observational study. THE LANCET. MICROBE 2023; 4:e722-e731. [PMID: 37659420 DOI: 10.1016/s2666-5247(23)00146-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/05/2023] [Accepted: 05/05/2023] [Indexed: 09/04/2023]
Abstract
BACKGROUND Assessment of viral kinetics of SARS-CoV-2 can inform on host immune responses to the virus and on the viral transmission potential. We aimed to characterise viral shedding kinetics by age, virus type, and clinical outcome, and to examine the potential effect of vaccination on viral shedding. METHODS In this retrospective observational study, we analysed longitudinal data on cycle threshold (Ct) values of reverse-transcription quantitative PCR (RT-qPCR) assays of upper respiratory tract samples from symptomatic patients with COVID-19. Patients who were confirmed with COVID-19 with at least one Ct value of the RT-qPCR test available within 28 days after symptom onset, and discharged or died at the time of the analysis, were included in the study. Patients were isolated in hospitals in Hong Kong during three major epidemic waves dominated by the ancestral strain or omicron BA.2. We modelled the temporal trajectories of viral burden in these patients. Electronic medical records of the patients with COVID-19 were retrieved and linked to the patients' epidemiological information obtained from contact tracing. Patients who were infected outside Hong Kong, infected with variants other than the ancestral strain or omicron BA.2, not reporting any COVID-19 related symptoms, still hospitalised at the time of analysis, missing information on age, time of symptom onset, infection severity, vaccination or clinical outcome, infected more than once, or treated with nirmatrelvir-ritonavir or molnupiravir were excluded from analysis. The main outcome of this study is the temporal change of SARS-CoV-2 viral burden measured by Ct values of RT-qPCR tests in symptomatic patients with COVID-19. FINDINGS Among 22 461 symptomatic patients with COVID-19 confirmed from July 1, 2020, to May 22, 2022, the estimated viral burden from a random-effects model indicated a longer duration of viral shedding in patients with more severe outcomes of infection (mean difference 13·1 days, 95% CI 12·9-13·3, for fatal vs mild-to-moderate) and in older patients (5·2, 5·0-5·5, for age ≥80 years vs 0-18 years). Vaccinated individuals with a breakthrough infection with the omicron BA.2 variant had a generally lower viral burden and shorter durations of viral shedding (mean difference of 2-4 days) over 4 weeks after onset than unvaccinated individuals infected with omicron BA.2, particularly in patients whose last dose of COVID-19 vaccine was received ≤90 days before symptom onset. Marginal differences in viral burden following symptom onset and the duration of viral shedding were observed between unvaccinated individuals infected with the ancestral strain and omicron BA.2. INTERPRETATION The viral kinetics since symptom onset characterised for symptomatic patients with COVID-19 in our study show that previously vaccinated or younger individuals, or those with a milder infection, shed fewer viruses in a shorter period, implying possible transmission dynamics of SARS-CoV-2 and protective mechanisms of vaccination against infection and severe outcomes. FUNDING Hong Kong Health and Medical Research Fund and Hong Kong Collaborative Research Fund.
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Affiliation(s)
- Yun Lin
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Peng Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China.
| | - Tim K Tsang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jessica Y Wong
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Eric H Y Lau
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Bingyi Yang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Gabriel M Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China; Laboratory of Data Discovery for Health, Hong Kong Science and Technology Park, New Territories, Hong Kong Special Administrative Region, China
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7
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Zhang L, Xie S, Lyu F, Liu C, Li C, Liu W, Ma X, Zhou J, Qian X, Lu Y, Qian Z. Predictive value of immunoglobulin G, activated partial thromboplastin time, platelet, and indirect bilirubin for delayed viral clearance in patients infected with the Omicron variant. PeerJ 2023; 11:e15443. [PMID: 37223120 PMCID: PMC10202103 DOI: 10.7717/peerj.15443] [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: 01/17/2023] [Accepted: 05/01/2023] [Indexed: 05/25/2023] Open
Abstract
Background Omicron is the recently emerged highly transmissible severe acute respiratory syndrome coronavirus 2 variant that has caused a dramatic increase in coronavirus disease-2019 infection cases worldwide. This study was to investigate the association between demographic and laboratory findings, and the duration of Omicron viral clearance. Methods Approximately 278 Omicron cases at the Ruijin Hospital Luwan Branch, Shanghai Jiaotong University School of Medicine were retrospectively analyzed between August 11 and August 31, 2022. Demographic and laboratory data were also collected. The association between demographics, laboratory findings, and duration of Omicron viral clearance was analyzed using Pearson correlation analysis and univariate and multivariate logistic regression. Results Univariate logistic regression analyses showed that a prolonged viral clearance time was significantly associated with older age and lower immunoglobulin (Ig) G and platelet (PLT) levels. Using multinomial logistic regression analyses, direct bilirubin, IgG, activated partial thromboplastin time (APTT), and PLT were independent factors for longer viral shedding duration. The model combining direct bilirubin, IgG, APTT, and PLT identifies patients infected with Omicron whose viral clearance time was ≥7 days with 62.7% sensitivity and 83.4% specificity. Conclusion These findings suggest that direct bilirubin, IgG, PLT, and APTT are significant risk factors for a longer viral shedding duration in patients infected with Omicron. Measuring levels of direct bilirubin, IgG, PLT, and APTT is advantageous to identify patients infected with Omicron with longer viral shedding duration.
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Affiliation(s)
- Lina Zhang
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Shucai Xie
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Feng Lyu
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Chun Liu
- Respiratory and Critical Care Medicine Department, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chunhui Li
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Xiangya Hospital, Central South University, Changsha, Hunan, China
- Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wei Liu
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Xinhua Ma
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jieyu Zhou
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Xinyu Qian
- School of Computer Science and Engineering, Central South University, Changsha, Hunan, China
| | - Yong Lu
- Department of Radiology, Ruijin Hospital Luwan Branch, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Zhaoxin Qian
- Department of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Hunan Provincial Clinical Research Center for Critical Care Medicine, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Xiangya Hospital, Central South University, Changsha, Hunan, China
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8
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Bello S, Lasierra AB, López-Vergara L, de Diego C, Torralba L, de Gopegui PR, Lahoz R, Abadía C, Godino J, Cebollada A, Jimeno B, Bello C, Tejada A, Torres A. IL-6 and cfDNA monitoring throughout COVID-19 hospitalization are accurate markers of its outcomes. Respir Res 2023; 24:125. [PMID: 37147677 PMCID: PMC10161166 DOI: 10.1186/s12931-023-02426-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 04/18/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Severe COVID-19 entails a dysregulated immune response, most likely inflammation related to a lack of virus control. A better understanding of immune toxicity, immunosuppression balance, and COVID-19 assessments could help determine whether different clinical presentations are driven by specific types of immune responses. The progression of the immune response and tissular damage could predict outcomes and may help in the management of patients. METHODS We collected 201 serum samples from 93 hospitalised patients classified as moderately, severely, and critically ill. We differentiated the viral, early inflammatory, and late inflammatory phases and included 72 patients with 180 samples in separate stages for longitudinal study and 55 controls. We studied selected cytokines, P-selectin, and the tissue damage markers lactate dehydrogenase (LDH) and cell-free DNA (cfDNA). RESULTS TNF-α, IL-6, IL-8, and G-CSF were associated with severity and mortality, but only IL-6 increased since admission in the critical patients and non-survivors, correlating with damage markers. The lack of a significant decrease in IL-6 levels in the critical patients and non-survivors in the early inflammatory phase (a decreased presence in the other patients) suggests that these patients did not achieve viral control on days 10-16. For all patients, lactate dehydrogenase and cfDNA levels increased with severity, and cfDNA levels increased in the non-survivors from the first sample (p = 0.002) to the late inflammatory phase (p = 0.031). In the multivariate study, cfDNA was an independent risk factor for mortality and ICU admission. CONCLUSIONS The distinct progression of IL-6 levels in the course of the disease, especially on days 10-16, was a good marker of progression to critical status and mortality and could guide the start of IL-6 blockade. cfDNA was an accurate marker of severity and mortality from admission and throughout COVID-19 progression.
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Affiliation(s)
- Salvador Bello
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel La Católica 1-9, 50009, Zaragoza, Spain.
| | | | - Lucía López-Vergara
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel La Católica 1-9, 50009, Zaragoza, Spain
| | - Cristina de Diego
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel La Católica 1-9, 50009, Zaragoza, Spain
| | - Laura Torralba
- Department of Pulmonary Medicine, Miguel Servet University Hospital, CIBERES, Instituto de Investigación Sanitaria (ISS) Aragón, Avenida Isabel La Católica 1-9, 50009, Zaragoza, Spain
| | | | - Raquel Lahoz
- Department of Biochemistry, Miguel Servet University Hospital, Zaragoza, Spain
| | - Claudia Abadía
- Department of Biochemistry, Miguel Servet University Hospital, Zaragoza, Spain
| | - Javier Godino
- Department of Cytometry and Cell Separation, Aragon Institute of Health Sciences (IACS), Zaragoza, Spain
| | - Alberto Cebollada
- Biocomputing Technical Scientific Service, Aragon Institute of Health Sciences (IACS), Zaragoza, Spain
| | - Beatriz Jimeno
- Department of Cytometry and Cell Separation, Aragon Institute of Health Sciences (IACS), Zaragoza, Spain
| | - Carlota Bello
- Department of Radiology, Hospital Clínico Lozano Blesa, Zaragoza, Spain
| | - Antonio Tejada
- Intensive Care Unit, Miguel Servet University Hospital, Zaragoza, Spain
| | - Antoni Torres
- Servei de Pneumologia, Hospital Clinic, Universitat de Barcelona, IDIBAPS, ICREA, CIBERESUCICOVID, Barcelona, Spain
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9
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Kintrilis N. Viral Shedding and Persistence of Anosmia and Ageusia in an Asymptomatic SARS-CoV-2 Infection. Cureus 2023; 15:e36574. [PMID: 37095813 PMCID: PMC10122416 DOI: 10.7759/cureus.36574] [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] [Accepted: 03/22/2023] [Indexed: 04/26/2023] Open
Abstract
The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first identified in the region of Wuhan, China is responsible for the ongoing pandemic of coronavirus disease-19 (COVID-19) that has been a part of our life for almost three years now. Although there have been multiple reports of prolonged viral shedding in people with severe disease, viral shedding lasting for extended periods can occur in patients with less serious clinical insults or even asymptomatic individuals. Herein, we report a case of a female patient that, although otherwise asymptomatic, remained positive on nasopharyngeal viral testing for a prolonged period, alongside persisting complaints of anosmia and ageusia. The patient may well have been one of the first individuals to be infected in the Greek territory; we followed up on her long-term COVID sequelae from the time of proof of infection up until the present day.
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Affiliation(s)
- Nikolaos Kintrilis
- Internal Medicine, National and Kapodistrian University of Athens, Athens, GRC
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10
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Abstract
SARS-CoV-2 viral load and detection of infectious virus in the respiratory tract are the two key parameters for estimating infectiousness. As shedding of infectious virus is required for onward transmission, understanding shedding characteristics is relevant for public health interventions. Viral shedding is influenced by biological characteristics of the virus, host factors and pre-existing immunity (previous infection or vaccination) of the infected individual. Although the process of human-to-human transmission is multifactorial, viral load substantially contributed to human-to-human transmission, with higher viral load posing a greater risk for onward transmission. Emerging SARS-CoV-2 variants of concern have further complicated the picture of virus shedding. As underlying immunity in the population through previous infection, vaccination or a combination of both has rapidly increased on a global scale after almost 3 years of the pandemic, viral shedding patterns have become more distinct from those of ancestral SARS-CoV-2. Understanding the factors and mechanisms that influence infectious virus shedding and the period during which individuals infected with SARS-CoV-2 are contagious is crucial to guide public health measures and limit transmission. Furthermore, diagnostic tools to demonstrate the presence of infectious virus from routine diagnostic specimens are needed.
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Affiliation(s)
- Olha Puhach
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Benjamin Meyer
- Centre for Vaccinology, Department of Pathology and Immunology, University of Geneva, Geneva, Switzerland
| | - Isabella Eckerle
- Department of Medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Geneva Centre for Emerging Viral Diseases, Geneva University Hospitals, Geneva, Switzerland.
- Division of Infectious Diseases, Geneva University Hospitals, Geneva, Switzerland.
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11
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Tojo K, Yamamoto N, Tamada N, Mihara T, Abe M, Nishii M, Takeuchi I, Goto T. Early alveolar epithelial cell necrosis is a potential driver of COVID-19-induced acute respiratory distress syndrome. iScience 2022; 26:105748. [PMID: 36507222 PMCID: PMC9722615 DOI: 10.1016/j.isci.2022.105748] [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: 06/02/2022] [Revised: 10/30/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022] Open
Abstract
Acute respiratory distress syndrome (ARDS) with COVID-19 is aggravated by hyperinflammatory responses even after the peak of the viral load has passed; however, its underlying mechanisms remain unclear. In the present study, analysis of the alveolar tissue injury markers and epithelial cell death markers in patients with COVID-19 revealed that COVID-19-induced ARDS was characterized by alveolar epithelial necrosis at an early disease stage. Serum levels of HMGB-1, one of the DAMPs released from necrotic cells, were also significantly elevated in these patients. Further analysis using a mouse model mimicking COVID-19-induced ARDS showed that the alveolar epithelial cell necrosis involved two forms of programmed necrosis, namely necroptosis, and pyroptosis. Finally, the neutralization of HMGB-1 attenuated alveolar tissue injury in the mouse model. Collectively, necrosis, including necroptosis and pyroptosis, is the predominant form of alveolar epithelial cell death at an early disease stage and subsequent release of DAMPs is a potential driver of COVID-19-induced ARDS.
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Affiliation(s)
- Kentaro Tojo
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan,Corresponding author
| | - Natsuhiro Yamamoto
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan
| | - Nao Tamada
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan,Department of Paramedic, Kyorin University Faculty of Health Sciences, Mitaka, Tokyo, Japan
| | - Takahiro Mihara
- Department of Health Data Science, Yokohama City University Graduate School of Data Science, Yokohama, Kanagawa, Japan
| | - Miyo Abe
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan
| | - Mototsugu Nishii
- Department of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan
| | - Ichiro Takeuchi
- Department of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan
| | - Takahisa Goto
- Department of Anesthesiology and Critical Care Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan
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12
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Muacevic A, Adler JR, Galinos I. Prolonged COVID-19 in a Multiple Sclerosis Patient Treated With Rituximab. Cureus 2022; 14:e32523. [PMID: 36654638 PMCID: PMC9840416 DOI: 10.7759/cureus.32523] [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] [Accepted: 12/14/2022] [Indexed: 12/15/2022] Open
Abstract
Immunocompromised patients commonly present prolonged viral shedding of the novel coronavirus SARS-CoV-2, detected through reverse transcriptase-polymerase chain reaction (RT-PCR) in nasopharyngeal or oropharyngeal swabs. The detection and estimation of the viral load in patients with COVID-19 is of utmost importance, not only for the effective isolation of the patient but also from a therapeutic point of view. In the current study, we present the case of an immunocompromised patient receiving rituximab infusions for the treatment of multiple sclerosis who exhibited COVID-19 clinical symptomatology for an extended period of time along with prolonged viral shedding while at the same time being unable to organize sufficient humoral immunity. Despite being fully vaccinated and having suffered symptomatic SARS-CoV-2 infections, antibodies against the virus remained undetected. Clinical relapse of his symptoms led to the trialing of a multitude of therapeutic interventions in order to combat the disease, with an extended remdesivir regimen proving the most efficacious in the alleviation of his symptoms. This case demonstrates how immunocompromised COVID-19 patients should be regarded under a different scope when it comes to the diagnosis, management, and resolution of their SARS-CoV-2 infection.
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13
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COVID-19 symptom duration: associations with age, severity and vaccination status in Brunei Darussalam, 2021. Western Pac Surveill Response J 2022; 13:1-9. [PMID: 36817502 PMCID: PMC9912283 DOI: 10.5365/wpsar.2022.13.4.941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Objective This retrospective, cross-sectional, observational study assessed the duration of coronavirus disease 2019 (COVID-19) symptoms during the second wave in Brunei Darussalam. Methods Data from COVID-19 cases admitted to the National Isolation Centre during 7-30 August 2021 were included in the study. Symptom onset and daily symptom assessments were entered into a database during hospitalization and disease was categorized by severity. The time between symptom onset and hospital admission, the duration of symptoms and length of hospitalization were assessed separately by age group, disease severity and vaccination status using one-way analysis of variance with Bonferroni post hoc corrections. Results Data from 548 cases were included in the study: 55.7% (305) of cases were male, and cases had a mean age of 33.7 years. Overall, 81.3% (446) reported symptoms at admission (mean number of symptoms and standard deviation: 2.8 ± 1.6), with cough (59.1%; 324), fever (38.9%; 213) and sore throat (18.4%; 101) being the most common. Being older, having more severe disease and being unvaccinated were significantly associated with the time between symptom onset and hospital admission, symptom duration and length of hospitalization. Discussion Knowing which factors predict the duration of COVID-19 symptoms can help in planning management strategies, such as the duration of isolation, predict the length of hospitalization and treatment, and provide more accurate counselling to patients regarding their illness.
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14
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Use of Human Lung Tissue Models for Screening of Drugs against SARS-CoV-2 Infection. Viruses 2022; 14:v14112417. [PMID: 36366514 PMCID: PMC9693925 DOI: 10.3390/v14112417] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/19/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022] Open
Abstract
The repurposing of licenced drugs for use against COVID-19 is one of the most rapid ways to develop new and alternative therapeutic options to manage the ongoing pandemic. Given circa 7817 licenced compounds available from Compounds Australia that can be screened, this paper demonstrates the utility of commercially available ex vivo/3D airway and alveolar tissue models. These models are a closer representation of in vivo studies than in vitro models, but retain the benefits of rapid in vitro screening for drug efficacy. We demonstrate that several existing drugs appear to show anti-SARS-CoV-2 activity against both SARS-CoV-2 Delta and Omicron Variants of Concern in the airway model. In particular, fluvoxamine, as well as aprepitant, everolimus, and sirolimus, has virus reduction efficacy comparable to the current standard of care (remdesivir, molnupiravir, nirmatrelvir). Whilst these results are encouraging, further testing and efficacy studies are required before clinical use can be considered.
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15
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Basic-Jukic N, Arnol M, Maksimovic B, Aleckovic-Halilovic M, Racki S, Barbic J, Babovic B, Juric I, Furic-Cunko V, Katalinic L, Radulovic G, Mihaljevic D, Jelakovic B, Kastelan Z. Clinical Characteristics and Outcomes of Kidney Transplant Recipients With SARS-CoV-2 Reinfections. Transplantation 2022; 106:e501-e502. [PMID: 35939380 DOI: 10.1097/tp.0000000000004315] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Affiliation(s)
- Nikolina Basic-Jukic
- Clinical Hospital Centre Zagreb, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
| | - Miha Arnol
- University Medical Centre Ljubljana, Ljubljana, Slovenia
| | | | | | - Sanjin Racki
- Clinical Hospital Centre Rijeka, Rijeka, Croatia
| | - Jerko Barbic
- Clinical Hospital Centre Osijek, Osijek, Croatia
| | | | - Ivana Juric
- Clinical Hospital Centre Zagreb, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
| | - Vesna Furic-Cunko
- Clinical Hospital Centre Zagreb, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
| | - Lea Katalinic
- Clinical Hospital Centre Zagreb, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
| | - Goran Radulovic
- Clinical Hospital Centre Zagreb, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
| | | | - Bojan Jelakovic
- Clinical Hospital Centre Zagreb, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
| | - Zeljko Kastelan
- Clinical Hospital Centre Zagreb, Faculty of Medicine, University of Zagreb, Zagreb, Croatia
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16
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Risk Factors for Slow Viral Decline in COVID-19 Patients during the 2022 Omicron Wave. Viruses 2022; 14:v14081714. [PMID: 36016336 PMCID: PMC9412339 DOI: 10.3390/v14081714] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 07/31/2022] [Accepted: 08/02/2022] [Indexed: 02/01/2023] Open
Abstract
Formulating termination of isolation (de-isolation) policies requires up-to-date knowledge about viral shedding dynamics. However, current de-isolation policies are largely based on viral load data obtained before the emergence of Omicron variant. In this retrospective cohort study involving adult patients hospitalised for COVID-19 between January and February 2022, we sought to determine SARS-CoV-2 viral shedding kinetics and to investigate the risk factors associated with slow viral decline during the 2022 Omicron wave. A total of 104 patients were included. The viral load was highest (Ct value was lowest) on days 1 post-symptom-onset (PSO) and gradually declined. Older age, hypertension, hyperlipidaemia and chronic kidney disease were associated with slow viral decline in the univariate analysis on both day 7 and day 10 PSO, while incomplete or no vaccination was associated with slow viral decline on day 7 PSO only. However, older age was the only risk factor that remained statistically significant in the multivariate analysis. In conclusion, older age is an independent risk factor associated with slow viral decline in this study conducted during the Omicron-dominant 2022 COVID-19 wave. Transmission-based precaution guidelines should take age into consideration when determining the timing of de-isolation.
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17
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Prolonged severe acute respiratory coronavirus virus 2 (SARS-CoV-2) viral shedding in lower-respiratory specimens of critically ill patients does not correlate with nasopharyngeal swab results. Infect Control Hosp Epidemiol 2022; 44:678-679. [PMID: 35607806 PMCID: PMC9300976 DOI: 10.1017/ice.2022.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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18
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Killingley B, Mann AJ, Kalinova M, Boyers A, Goonawardane N, Zhou J, Lindsell K, Hare SS, Brown J, Frise R, Smith E, Hopkins C, Noulin N, Löndt B, Wilkinson T, Harden S, McShane H, Baillet M, Gilbert A, Jacobs M, Charman C, Mande P, Nguyen-Van-Tam JS, Semple MG, Read RC, Ferguson NM, Openshaw PJ, Rapeport G, Barclay WS, Catchpole AP, Chiu C. Safety, tolerability and viral kinetics during SARS-CoV-2 human challenge in young adults. Nat Med 2022; 28:1031-1041. [PMID: 35361992 DOI: 10.1038/s41591-022-01780-9] [Citation(s) in RCA: 234] [Impact Index Per Article: 117.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Accepted: 03/09/2022] [Indexed: 12/16/2022]
Abstract
Since its emergence in 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused hundreds of millions of cases and continues to circulate globally. To establish a novel SARS-CoV-2 human challenge model that enables controlled investigation of pathogenesis, correlates of protection and efficacy testing of forthcoming interventions, 36 volunteers aged 18-29 years without evidence of previous infection or vaccination were inoculated with 10 TCID50 of a wild-type virus (SARS-CoV-2/human/GBR/484861/2020) intranasally in an open-label, non-randomized study (ClinicalTrials.gov identifier NCT04865237 ; funder, UK Vaccine Taskforce). After inoculation, participants were housed in a high-containment quarantine unit, with 24-hour close medical monitoring and full access to higher-level clinical care. The study's primary objective was to identify an inoculum dose that induced well-tolerated infection in more than 50% of participants, with secondary objectives to assess virus and symptom kinetics during infection. All pre-specified primary and secondary objectives were met. Two participants were excluded from the per-protocol analysis owing to seroconversion between screening and inoculation, identified post hoc. Eighteen (~53%) participants became infected, with viral load (VL) rising steeply and peaking at ~5 days after inoculation. Virus was first detected in the throat but rose to significantly higher levels in the nose, peaking at ~8.87 log10 copies per milliliter (median, 95% confidence interval (8.41, 9.53)). Viable virus was recoverable from the nose up to ~10 days after inoculation, on average. There were no serious adverse events. Mild-to-moderate symptoms were reported by 16 (89%) infected participants, beginning 2-4 days after inoculation, whereas two (11%) participants remained asymptomatic (no reportable symptoms). Anosmia or dysosmia developed more slowly in 15 (83%) participants. No quantitative correlation was noted between VL and symptoms, with high VLs present even in asymptomatic infection. All infected individuals developed serum spike-specific IgG and neutralizing antibodies. Results from lateral flow tests were strongly associated with viable virus, and modeling showed that twice-weekly rapid antigen tests could diagnose infection before 70-80% of viable virus had been generated. Thus, with detailed characterization and safety analysis of this first SARS-CoV-2 human challenge study in young adults, viral kinetics over the course of primary infection with SARS-CoV-2 were established, with implications for public health recommendations and strategies to affect SARS-CoV-2 transmission. Future studies will identify the immune factors associated with protection in those participants who did not develop infection or symptoms and define the effect of prior immunity and viral variation on clinical outcome.
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Affiliation(s)
- Ben Killingley
- Department of Infectious Diseases, University College London Hospital, London, UK
| | | | | | | | | | - Jie Zhou
- Department of Infectious Disease, Imperial College London, London, UK
| | - Kate Lindsell
- UK Vaccine Taskforce, Department for Business, Energy and Industrial Strategy, London, UK
| | - Samanjit S Hare
- Department of Radiology, Royal Free London NHS Foundation Trust, London, UK
| | - Jonathan Brown
- Department of Infectious Disease, Imperial College London, London, UK
| | - Rebecca Frise
- Department of Infectious Disease, Imperial College London, London, UK
| | - Emma Smith
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Claire Hopkins
- ENT Department, Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | | | | | - Tom Wilkinson
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, and NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Stephen Harden
- Department of Radiology, Southampton General Hospital, Southampton, UK
| | - Helen McShane
- Department of Paediatrics, University of Oxford, Oxford, UK
| | | | - Anthony Gilbert
- UK Vaccine Taskforce, Department for Business, Energy and Industrial Strategy, London, UK
| | - Michael Jacobs
- Department of Infectious Diseases, Royal Free London NHS Foundation Trust, London, UK
| | - Christine Charman
- UK Vaccine Taskforce, Department for Business, Energy and Industrial Strategy, London, UK
| | - Priya Mande
- UK Vaccine Taskforce, Department for Business, Energy and Industrial Strategy, London, UK
| | - Jonathan S Nguyen-Van-Tam
- Division of Epidemiology and Public Health, University of Nottingham School of Medicine, Nottingham, UK
| | - Malcolm G Semple
- Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool; Respiratory Department, Alder Hey Children's Hospital, Liverpool, UK
| | - Robert C Read
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, and NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Neil M Ferguson
- MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK
| | - Peter J Openshaw
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Garth Rapeport
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Wendy S Barclay
- Department of Infectious Disease, Imperial College London, London, UK
| | | | - Christopher Chiu
- Department of Infectious Disease, Imperial College London, London, UK.
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19
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Puchinger K, Castelletti N, Rubio-Acero R, Geldmacher C, Eser TM, Deák F, Paunovic I, Bakuli A, Saathoff E, von Meyer A, Markgraf A, Falk P, Reich J, Riess F, Girl P, Müller K, Radon K, Guggenbuehl Noller JM, Wölfel R, Hoelscher M, Kroidl I, Wieser A, Olbrich L. The interplay of viral loads, clinical presentation, and serological responses in SARS-CoV-2 - Results from a prospective cohort of outpatient COVID-19 cases. Virology 2022; 569:37-43. [PMID: 35245784 PMCID: PMC8855229 DOI: 10.1016/j.virol.2022.02.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/15/2022] [Accepted: 02/15/2022] [Indexed: 11/24/2022]
Abstract
Risk factors for disease progression and severity of SARS-CoV-2 infections require an understanding of acute and long-term virological and immunological dynamics. Fifty-one RT-PCR positive COVID-19 outpatients were recruited between May and December 2020 in Munich, Germany, and followed up at multiple defined timepoints for up to one year. RT-PCR and viral culture were performed and seroresponses measured. Participants were classified applying the WHO clinical progression scale. Short symptom to test time (median 5.0 days; p = 0.0016) and high viral loads (VL; median maximum VL: 3∙108 copies/mL; p = 0.0015) were indicative for viral culture positivity. Participants with WHO grade 3 at baseline had significantly higher VLs compared to those with WHO 1 and 2 (p = 0.01). VLs dropped fast within 1 week of symptom onset. Maximum VLs were positively correlated with the magnitude of Ro-N-Ig seroresponse (p = 0.022). Our results describe the dynamics of VLs and antibodies to SARS-CoV-2 in mild to moderate cases that can support public health measures during the ongoing global pandemic.
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Affiliation(s)
- Kerstin Puchinger
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Noemi Castelletti
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; Institute of Radiation Medicine, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
| | - Raquel Rubio-Acero
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Christof Geldmacher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Tabea M Eser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Flora Deák
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Ivana Paunovic
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Abhishek Bakuli
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Elmar Saathoff
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Alexander von Meyer
- Institute for Laboratory Medicine, Medical Microbiology and Technical Hygienics, Munich Municipal Hospital Group, 81675, Munich, Germany
| | - Alisa Markgraf
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Philine Falk
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Jakob Reich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany
| | - Friedrich Riess
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Philipp Girl
- German Center for Infection Research (DZIF), Partner Site Munich, Germany; Bundeswehr Institute of Microbiology, 80937, Munich, Germany
| | - Katharina Müller
- German Center for Infection Research (DZIF), Partner Site Munich, Germany; Bundeswehr Institute of Microbiology, 80937, Munich, Germany
| | - Katja Radon
- Center for International Health, Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, University Hospital Munich (LMU), Ziemssenstr. 1, 80336, Munich, Germany
| | | | - Roman Wölfel
- German Center for Infection Research (DZIF), Partner Site Munich, Germany; Bundeswehr Institute of Microbiology, 80937, Munich, Germany
| | - Michael Hoelscher
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Inge Kroidl
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Andreas Wieser
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany
| | - Laura Olbrich
- Division of Infectious Diseases and Tropical Medicine, University Hospital, LMU Munich, 80802, Munich, Germany; German Center for Infection Research (DZIF), Partner Site Munich, Germany; Oxford Vaccine Group, Department of Paediatrics, And the NIHR Oxford Biomedical Research Centre, University of Oxford, OX1 2JD, Oxford, UK
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20
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C-reactive protein cut-off for early tocilizumab and dexamethasone prescription in hospitalized patients with COVID-19. Sci Rep 2022; 12:5250. [PMID: 35347166 PMCID: PMC8960074 DOI: 10.1038/s41598-022-08882-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 03/08/2022] [Indexed: 12/15/2022] Open
Abstract
Dexamethasone and tocilizumab have been associated with reduction in mortality, however, the beneficial effect is not for all patients and the impact on viral replication is not well defined. We hypostatized that C-reactive protein (CRP) could help in the identification of patients requiring anti-inflammatory therapy. Patients admitted for > 48 h in our hospital for a confirmed or suspected infection by SARS-CoV-2 from February 2020 to February 2021 were retrospectively evaluated. The primary outcome was mortality at 30 days. Demographics and the most relevant variables related with the outcome were included. CRP was stratified by percentiles. Univariate and multivariate analysis were performed. A total of 3218 patients were included with a median (IQR) age of 66 (74–78) years and 58.9% were males. The rate of intensive care unit admission was 24.4% and the 30-day mortality rate was 11.8%. Within the first 5 days from admission, 1018 (31.7%) patients received dexamethasone and 549 tocilizumab (17.1%). The crude analysis showed a mortality reduction in patients receiving dexamethasone when CRP was > 13.75 mg/dL and > 3.5 mg/dL for those receiving tocilizumab. Multivariate analysis identified the interaction of CRP > 13.75 mg/dL with dexamethasone (OR 0.57; CI 95% 0.37–0.89, P = 0014) and CRP > 3.5 mg/dL with tocilizumab (0.65; CI95%:0.44–0.95, P = 0.029) as independent predictors of mortality. Our results suggest that dexamethasone and tocilizumab are associated with a reduction in mortality when prescribed to patients with a certain inflammatory activity assessed by C-reactive protein.
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21
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McGonagle D, Kearney MF, O'Regan A, O'Donnell JS, Quartuccio L, Watad A, Bridgewood C. Therapeutic implications of ongoing alveolar viral replication in COVID-19. THE LANCET. RHEUMATOLOGY 2022; 4:e135-e144. [PMID: 34873587 PMCID: PMC8635460 DOI: 10.1016/s2665-9913(21)00322-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
In patients with moderate-to-severe COVID-19 pneumonia, an aberrant post-viral alveolitis with excessive inflammatory responses and immunothrombosis underpins use of immunomodulatory therapy (eg, corticosteroids and interleukin-6 receptor antagonism). By contrast, immunosuppression in individuals with mild COVID-19 who do not require oxygen therapy or in those with critical disease undergoing prolonged ventilation is of no proven benefit. Furthermore, a window of opportunity is thought to exist for timely immunosuppression in patients with moderate-to-severe COVID-19 pneumonia shortly after clinical presentation. In this Viewpoint, we explore the shortcomings of a universal immunosuppression approach in patients with moderate-to-severe COVID-19 due to disease heterogeneity related to ongoing SARS-CoV-2 replication, which can manifest as RNAaemia in some patients treated with immunotherapy. By contrast, immunomodulatory therapy has overall benefits in patients with rapid SARS-CoV-2 clearance, via blunting of multifaceted, excessive innate immune responses in the lungs, potentially uncontrolled T-cell responses, possible autoimmune responses, and immunothrombosis. We highlight this therapeutic dichotomy to better understand the immunopathology of moderate-to-severe COVID-19, particularly the role of RNAaemia, and to refine therapy choices.
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Affiliation(s)
- Dennis McGonagle
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK,National Institute for Health Research Leeds Biomedical Research Centre, Leeds Teaching Hospitals, Leeds, UK,Correspondence to: Prof Dennis McGonagle, Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds LS7 4SA, UK
| | - Mary F Kearney
- HIV Dynamics and Replication Program, National Cancer Institute National Institutes of Health, Bethesda, MD, USA
| | - Anthony O'Regan
- Department of Respiratory Medicine, Galway University Hospitals, National University of Ireland, Galway, Ireland
| | - James S O'Donnell
- Irish Centre for Vascular Biology, School of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Luca Quartuccio
- Department of Medicine, Clinic of Rheumatology, University of Udine, Udine, Italy
| | - Abdulla Watad
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK,Department of Medicine B, Rhumatology Unit and Zabludowicz Center for Autoimmune Diseases, Sheba Medical Center, Tel-Hashomer, Ramat-Gan, Israel,Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Charles Bridgewood
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
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22
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Bosaeed M, Shaheen N, Sambas R, Alenezi M, Alharbi N, Aldibasi O. COVID-19 reinfection: A multicenter retrospective study in Saudi Arabia. Ann Thorac Med 2022; 17:81-86. [PMID: 35651891 PMCID: PMC9150659 DOI: 10.4103/atm.atm_74_22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 02/24/2022] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION: There are limited direct data on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) long-term immune responses and reinfection. This study aimed to evaluate the rate, risk factors, and severity of COVID-19 reinfection. METHODS: This retrospective cohort study included five hospitals across Saudi Arabia. All subjects who were presented or admitted with positive SARS-CoV-2 real-time polymerase chain reaction (RT-PCR) tests were evaluated between March 2020 and August 2021. Reinfection was defined as a patient who was infected followed by clinical recovery, and later became infected again 90 days post first infection. The infection was confirmed with a positive SARS-CoV-2 (RT-PCR). Four hundred and seventeen recovered cases but with no reinfection were included as a control. RESULTS: A total of 35,288 RT-PCR-confirmed COVID-19 patients were observed between March 2020 and August 2021. Based on the case definition, (0.37%) 132 patients had COVID-19 reinfection. The mean age in the reinfected cases was 40.95 ± 19.48 (range 1–87 years); Females were 50.76%. Body mass index was 27.65 ± 6.65 kg/m2; diabetes and hypertension were the most common comorbidities. The first infection showed mild symptoms in 91 (68.94%) patients; and when compared to the control group, comorbidities, severity of infection, and laboratory investigations were not statistically different. Hospitalization at the first infection was higher, but not statistically different when compared to the control group (P = 0.093). CONCLUSION: COVID-19 reinfection is rare and does not carry a higher risk of severe disease. Further studies are required, especially with the continuously newly emerging variants, with the unpredictable risk of reinfection.
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23
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Dynamics of urinary and respiratory shedding of Severe acute respiratory syndrome virus 2 (SARS-CoV-2) RNA excludes urine as a relevant source of viral transmission. Infection 2021; 50:635-642. [PMID: 34716901 PMCID: PMC8556791 DOI: 10.1007/s15010-021-01724-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 09/17/2021] [Indexed: 10/27/2022]
Abstract
PURPOSE To investigate the expression of the receptor protein ACE-2 alongside the urinary tract, urinary shedding and urinary stability of SARS-CoV-2 RNA. METHODS Immunohistochemical staining was performed on tissue from urological surgery of 10 patients. Further, patients treated for coronavirus disease (COVID-19) at specialized care-units of a university hospital were assessed for detection of SARS-CoV-2 RNA in urinary samples via PCR, disease severity (WHO score), inflammatory response of patients. Finally, the stability of SARS-CoV-2 RNA in urine was analyzed. RESULTS High ACE-2 expression (3/3) was observed in the tubules of the kidney and prostate glands, moderate expression in urothelial cells of the bladder (0-2/3) and no expression in kidney glomeruli, muscularis of the bladder and stroma of the prostate (0/3). SARS-CoV-2 RNA was detected in 5/199 urine samples from 64 patients. Viral RNA was detected in the first urinary sample of sequential samples. Viral RNA load from other specimen as nasopharyngeal swabs (NPS) or endotracheal aspirates revealed higher levels than from urine. Detection of SARS-CoV-2 RNA in urine was not associated with impaired WHO score (median 5, range 3-8 vs median 4, range 1-8, p = 0.314), peak white blood cell count (median 24.1 × 1000/ml, range 5.19-48.1 versus median 11.9 × 1000/ml, range 2.9-60.3, p = 0.307), peak CRP (median 20.7 mg/dl, 4.2-40.2 versus median 11.9 mg/dl, range 0.1-51.9, p = 0.316) or peak IL-6 levels (median: 1442 ng/ml, range 26.7-3918 versus median 140 ng/ml, range 3.0-11,041, p = 0.099). SARS-CoV-2 RNA was stable under different storage conditions and after freeze-thaw cycles. CONCLUSIONS SARS-CoV-2 RNA in the urine of COVID-19 patients occurs infrequently. The viral RNA load and dynamics of SARS-CoV-2 RNA shedding suggest no relevant route of transmission through the urinary tract.
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24
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Virus-Shedding und COVID-19-Schwere. Pneumologie 2021. [DOI: 10.1055/a-1481-4192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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25
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Munker D, Veit T, Barton J, Mertsch P, Mümmler C, Osterman A, Khatamzas E, Barnikel M, Hellmuth JC, Münchhoff M, Walter J, Ghiani A, Munker S, Dinkel J, Behr J, Kneidinger N, Milger K. Pulmonary function impairment of asymptomatic and persistently symptomatic patients 4 months after COVID-19 according to disease severity. Infection 2021; 50:157-168. [PMID: 34322859 PMCID: PMC8318328 DOI: 10.1007/s15010-021-01669-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 07/13/2021] [Indexed: 12/22/2022]
Abstract
Objective Evaluation of pulmonary function impairment after COVID-19 in persistently symptomatic and asymptomatic patients of all disease severities and characterisation of risk factors. Methods Patients with confirmed SARS-CoV-2 infection underwent prospective follow-up with pulmonary function testing and blood gas analysis during steady-state cycle exercise 4 months after acute illness. Pulmonary function impairment (PFI) was defined as reduction below 80% predicted of DLCOcSB, TLC, FVC, or FEV1. Clinical data were analyzed to identify risk factors for impaired pulmonary function. Results 76 patients were included, hereof 35 outpatients with mild disease and 41 patients hospitalized due to COVID-19. Sixteen patients had critical disease requiring mechanical ventilation, 25 patients had moderate–severe disease. After 4 months, 44 patients reported persisting respiratory symptoms. Significant PFI was prevalent in 40 patients (52.6%) occurring among all disease severities. The most common cause for PFI was reduced DLCOcSB (n = 39, 51.3%), followed by reduced TLC and FVC. The severity of PFI was significantly associated with mechanical ventilation (p < 0.001). Further risk factors for DLCO impairment were COPD (p < 0.001), SARS-CoV-2 antibody-Titer (p = 0.014) and in hospitalized patients CT score. A decrease of paO2 > 3 mmHg during cycle exercise occurred in 1/5 of patients after mild disease course. Conclusion We characterized pulmonary function impairment in asymptomatic and persistently symptomatic patients of different severity groups of COVID-19 and identified further risk factors associated with persistently decreased pulmonary function. Remarkably, gas exchange abnormalities were revealed upon cycle exercise in some patients with mild disease courses and no preexisting pulmonary condition. Supplementary Information The online version contains supplementary material available at 10.1007/s15010-021-01669-8.
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Affiliation(s)
- Dieter Munker
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Tobias Veit
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Jürgen Barton
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Pontus Mertsch
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Carlo Mümmler
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Andreas Osterman
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University (LMU) of Munich, Munich, Germany.,German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany
| | - Elham Khatamzas
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany
| | - Michaela Barnikel
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Johannes C Hellmuth
- Department of Medicine III, University Hospital, LMU Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Maximilian Münchhoff
- Max von Pettenkofer Institute and Gene Center, Virology, National Reference Center for Retroviruses, Ludwig Maximilian University (LMU) of Munich, Munich, Germany.,German Center for Infection Research (DZIF), Partner Site Munich, Munich, Germany.,COVID-19 Registry of the LMU Munich (CORKUM), University Hospital, Ludwig-Maximilians University Munich, Munich, Germany
| | - Julia Walter
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Alessandro Ghiani
- Department of Pulmonology and Respiratory Medicine, Schillerhoehe Lung Clinic (affiliated to the Robert-Bosch-Hospital GmbH, Stuttgart), Solitudestrasse 18, 70839, Gerlingen, Germany
| | - Stefan Munker
- Department of Medicine II, University Hospital, LMU Munich, Munich, Germany
| | - Julien Dinkel
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Jürgen Behr
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Nikolaus Kneidinger
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Katrin Milger
- Department of Medicine V, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany. .,Comprehensive Pneumology Center Munich (CPC-M), Helmholtz Center and LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany.
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26
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Slezak J, Bruxvoort K, Fischer H, Broder B, Ackerson B, Tartof S. Rate and severity of suspected SARS-Cov2 reinfection in a cohort of PCR-positive COVID-19 patients. Clin Microbiol Infect 2021; 27:1860.e7-1860.e10. [PMID: 34419576 PMCID: PMC8373524 DOI: 10.1016/j.cmi.2021.07.030] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 07/07/2021] [Accepted: 07/19/2021] [Indexed: 12/21/2022]
Abstract
Objectives To estimate the burden and severity of suspected reinfection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods A retrospective cohort of members of Kaiser Permanente Southern California with PCR-positive SARS-CoV-2 infection between 1st March 2020 and 31st October 2020 was followed through electronic health records for subsequent positive SARS-CoV-2 tests (suspected reinfection) ≥90 days after initial infection, through 31st January 2021. Incidence of suspected reinfection was estimated using the Kaplan–Meier method. Cox proportional hazards models estimated the association of suspected reinfection with demographic and clinical characteristics, hospitalization, and date of initial infection. Results The cohort of 75 149 was predominantly Hispanic (49 648/75 149, 66.1%) and included slightly more females than males (39 736, 52.9%), with few immunocompromised patients (953, 1.3%); 315 suspected reinfections were identified, with a cumulative incidence at 270 days of 0.8% (95% confidence interval (CI) 0.7–1.0%). Hospitalization was more common at suspected reinfection (36/315, 11.4%) than initial infection (4094/75 149, 5.4%). Suspected reinfection rates were higher in females (1.0%, CI 0.8–1.2% versus 0.7%, CI 0.5–0.9%, p 0.002) and immunocompromised patients (2.1%, CI 1.0–4.2% versus 0.8%, CI 0.7–1.0%, p 0.004), and lower in children than adults (0.2%, CI 0.1–0.4% versus 0.9%, CI 0.7–1.0%, p 0.023). Patients hospitalized at initial infection were more likely to have suspected reinfection (1.2%, CI 0.6–1.7% versus 0.8%, CI 0.7–1.0%, p 0.030), as were those with initial infections later in 2020 (150-day incidence 0.4%, CI 0.2–0.5% September–October versus 0.2%, CI 0.1–0.3% March–May and 0.3%, CI 0.2–0.3% June–August, p 0.008). In an adjusted Cox proportional hazards model, being female (hazard ratio (HR) 1.44, CI 1.14–1.81), adult (age 18–39, HR 2.71, CI 1.38–5.31, age 40–59 HR 2.22, CI 1.12–4.41, age ≥60 HR 2.52, CI 1.23–5.17 versus <18 years), immunocompromised (HR 2.48, CI 1.31–4.68), hospitalized (HR 1.60, CI 1.07–2.38), and initially infected later in 2020 (HR 2.26, CI 1.38–3.71 September–October versus March–May) were significant independent predictors of suspected reinfection. Conclusions Reinfection with SARS-CoV-2 is uncommon, with suspected reinfections more likely in women, adults, immunocompromised subjects, and those previously hospitalized for coronavirus 2019 (COVID-19). This suggests a need for continued precautions and vaccination in patients with COVID-19 to prevent reinfection.
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Affiliation(s)
- Jeff Slezak
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA.
| | - Katia Bruxvoort
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Heidi Fischer
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA
| | - Benjamin Broder
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA; Regional Assistant Medical Director of Quality and Clinical Analysis (Regional Offices), Diplomate of Clinical Informatics, Hospitalist, KFH Baldwin Park
| | - Bradley Ackerson
- Department of Pediatrics, Southern California Permanente Medical Group, Los Angeles, CA
| | - Sara Tartof
- Department of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA; Kaiser Permanente Bernard J. Tyson School of Medicine, Department of Health Systems Science
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27
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Kragstrup TW, Singh HS, Grundberg I, Nielsen ALL, Rivellese F, Mehta A, Goldberg MB, Filbin MR, Qvist P, Bibby BM. Plasma ACE2 predicts outcome of COVID-19 in hospitalized patients. PLoS One 2021; 16:e0252799. [PMID: 34086837 PMCID: PMC8177449 DOI: 10.1371/journal.pone.0252799] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 05/21/2021] [Indexed: 01/04/2023] Open
Abstract
AIMS Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds to angiotensin converting enzyme 2 (ACE2) enabling entrance of the virus into cells and causing the infection termed coronavirus disease of 2019 (COVID-19). Here, we investigate associations between plasma ACE2 and outcome of COVID-19. METHODS AND RESULTS This analysis used data from a large longitudinal study of 306 COVID-19 positive patients and 78 COVID-19 negative patients (MGH Emergency Department COVID-19 Cohort). Comprehensive clinical data were collected on this cohort, including 28-day outcomes. The samples were run on the Olink® Explore 1536 platform which includes measurement of the ACE2 protein. High admission plasma ACE2 in COVID-19 patients was associated with increased maximal illness severity within 28 days with OR = 1.8, 95%-CI: 1.4-2.3 (P < 0.0001). Plasma ACE2 was significantly higher in COVID-19 patients with hypertension compared with patients without hypertension (P = 0.0045). Circulating ACE2 was also significantly higher in COVID-19 patients with pre-existing heart conditions and kidney disease compared with patients without these pre-existing conditions (P = 0.0363 and P = 0.0303, respectively). CONCLUSION This study suggests that measuring plasma ACE2 is potentially valuable in predicting COVID-19 outcomes. Further, ACE2 could be a link between COVID-19 illness severity and its established risk factors hypertension, pre-existing heart disease and pre-existing kidney disease.
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Affiliation(s)
- Tue W. Kragstrup
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark
| | | | | | | | - Felice Rivellese
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Arnav Mehta
- Department of Medical Oncology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, United States of America
| | - Marcia B. Goldberg
- Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Department of Microbiology, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michael R. Filbin
- Department of Emergency Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Per Qvist
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus, Denmark
- Centre for Genomics and Personalized Medicine, CGPM, Aarhus University, Aarhus, Denmark
| | - Bo Martin Bibby
- Department of Biostatistics, Aarhus University, Aarhus, Denmark
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