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Hagman K, Postigo T, Diez-Castro D, Ursing J, Bermejo-Martin JF, de la Fuente A, Tedim AP. Prevalence and clinical relevance of viraemia in viral respiratory tract infections: a systematic review. THE LANCET. MICROBE 2025; 6:100967. [PMID: 39342950 DOI: 10.1016/j.lanmic.2024.100967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 07/12/2024] [Accepted: 07/30/2024] [Indexed: 10/01/2024]
Abstract
In this Review, we analysed the prevalence of viraemia during infection with SARS-CoV-2 and other relevant respiratory viruses, including other human coronaviruses such as MERS-CoV and SARS-CoV, adenovirus, human metapneumovirus, human rhinovirus/enterovirus, influenza A and B virus, parainfluenza virus, and respiratory syncytial virus. First, a preliminary systematic search was conducted to identify articles published before May 23, 2024 that reported on viraemia during infection with respiratory viruses. The articles were then analysed for relevant terms to identify the prevalence of viraemia, its association with the disease severity and long-term consequences, and host responses. A total of 202 articles were included in the final study. The pooled prevalence of viraemia was 34% for SARS-CoV-2 and between 6% and 65% for other viruses. Association of viraemia with disease severity was extensively reported for SARS-CoV-2 and also for SARS-CoV, MERS-CoV, adenoviruses, rhinoviruses, respiratory syncytial virus, and influenza A(H1N1)pdm09 (albeit with low evidence). SARS-CoV-2 viraemia was linked to memory problems and worsened quality of life. Viraemia was associated with signatures denoting dysregulated host responses. In conclusion, the high prevalence of viraemia and its association with disease severity suggests that viraemia could be a relevant pathophysiological event with important translational implications in respiratory viral infections.
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Affiliation(s)
- Karl Hagman
- Department of Infectious Diseases, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Tamara Postigo
- Group for Biomedical Research in Respiratory Infection & Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca (IBSAL), Gerencia Regional de Salud de Castilla y León, Salamanca, Spain
| | - David Diez-Castro
- Department of Anatomy and Histology, Faculty of Medicine, University of Salamanca, Salamanca, Spain; Group for Biomedical Research in Neuroendocrinology and Obesity, IBSAL, University of Salamanca, Salamanca, Spain
| | - Johan Ursing
- Department of Infectious Diseases, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden; Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Jesús F Bermejo-Martin
- Group for Biomedical Research in Respiratory Infection & Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca (IBSAL), Gerencia Regional de Salud de Castilla y León, Salamanca, Spain; Department of Medicine, Faculty of Medicine, University of Salamanca, Salamanca, Spain; Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CIBERES, CB22/06/00035), Instituto de Salud Carlos III, Madrid, Spain.
| | - Amanda de la Fuente
- Group for Biomedical Research in Respiratory Infection & Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca (IBSAL), Gerencia Regional de Salud de Castilla y León, Salamanca, Spain; Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CIBERES, CB22/06/00035), Instituto de Salud Carlos III, Madrid, Spain
| | - Ana P Tedim
- Group for Biomedical Research in Respiratory Infection & Sepsis (BioSepsis), Instituto de Investigación Biomédica de Salamanca (IBSAL), Gerencia Regional de Salud de Castilla y León, Salamanca, Spain; Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CIBERES, CB22/06/00035), Instituto de Salud Carlos III, Madrid, Spain
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Azekawa S, Maetani T, Chubachi S, Asakura T, Tanabe N, Shiraishi Y, Namkoong H, Tanaka H, Shimada T, Fukushima T, Otake S, Nakagawara K, Watase M, Terai H, Sasaki M, Ueda S, Kato Y, Harada N, Suzuki S, Yoshida S, Tateno H, Yamada Y, Jinzaki M, Hirai T, Okada Y, Koike R, Ishii M, Kimura A, Imoto S, Miyano S, Ogawa S, Kanai T, Fukunaga K. CT-derived vertebral bone mineral density is a useful biomarker to predict COVID-19 outcome. Bone 2024; 184:117095. [PMID: 38599262 DOI: 10.1016/j.bone.2024.117095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 04/04/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024]
Abstract
The low vertebral bone computed tomography (CT) Hounsfield unit values measured on CT scans reflect low bone mineral density (BMD) and are known as diagnostic indicators for osteoporosis. The potential prognostic significance of low BMD defined by vertebral bone CT values for the coronavirus disease 2019 (COVID-19) remains unclear. This study aimed to assess the impact of BMD on the clinical outcome in Japanese patients with COVID-19 and evaluate the association between BMD and critical outcomes, such as high-flow nasal cannula, non-invasive and invasive positive pressure ventilation, extracorporeal membrane oxygenation, or death. We examined the effects of COVID-19 severity on the change of BMD over time. This multicenter retrospective cohort study enrolled 1132 inpatients with COVID-19 from the Japan COVID-19 Task Force database between February 2020 and September 2022. The bone CT values of the 4th, 7th, and 10th thoracic vertebrae were measured from chest CT images. The average of these values was defined as BMD. Furthermore, a comparative analysis was conducted between the BMD on admission and its value 3 months later. The low BMD group had a higher proportion of critical outcomes than did the high BMD group. In a subanalysis stratifying patients by epidemic wave according to onset time, critical outcomes were higher in the low BMD group in the 1st-4th waves. Multivariable logistic analysis of previously reported factors associated with COVID-19 severity revealed that low BMD, chronic kidney disease, and diabetes were independently associated with critical outcomes. At 3 months post-infection, patients with oxygen demand during hospitalization showed markedly decreased BMD than did those on admission. Low BMD in patients with COVID-19 may help predict severe disease after the disease onset. BMD may decrease over time in patients with severe COVID-19, and the impact on sequelae symptoms should be investigated in the future.
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Affiliation(s)
- Shuhei Azekawa
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Tomoki Maetani
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shotaro Chubachi
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan.
| | - Takanori Asakura
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan; Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan; Department of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan.
| | - Naoya Tanabe
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yusuke Shiraishi
- Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ho Namkoong
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan; Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan
| | - Hiromu Tanaka
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Takashi Shimada
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Takahiro Fukushima
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Shiro Otake
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Kensuke Nakagawara
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Mayuko Watase
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Hideki Terai
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
| | - Mamoru Sasaki
- Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan
| | - Soichiro Ueda
- Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan
| | - Yukari Kato
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Norihiro Harada
- Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan
| | - Shoji Suzuki
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Shuichi Yoshida
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Hiroki Tateno
- Department of Pulmonary Medicine, Saitama City Hospital, Saitama, Japan
| | - Yoshitake Yamada
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Masahiro Jinzaki
- Department of Radiology, Keio University School of Medicine, Tokyo, Japan
| | - Toyohiro Hirai
- Department of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Genome Informatics, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan
| | - Ryuji Koike
- Health Science Research and Development Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Makoto Ishii
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan; Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akinori Kimura
- Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seiya Imoto
- Division of Health Medical Intelligence, Human Genome Center, the Institute of Medical Science, the University of Tokyo, Tokyo, Japan
| | - Satoru Miyano
- M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan; Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Takanori Kanai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Koichi Fukunaga
- Division of Pulmonary Medicine, Department of Medicine, Keio University, School of Medicine, Tokyo, Japan
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