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IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting
Coronavirus disease 2019 (COVID-19) has overwhelmed hospitals worldwide. In Japan, serum interferon lambda 3 (IFN-λ3) and C–C motif ligand (CCL) 17 levels have been used as predictive markers for disease progression to severe COVID-19. However, the relationship between these predictive markers and t...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Japanese Respiratory Society. Published by Elsevier B.V.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834168/ https://www.ncbi.nlm.nih.gov/pubmed/36682084 http://dx.doi.org/10.1016/j.resinv.2022.12.006 |
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author | Sekimoto, Yasuhito Sekiya, Mitsuaki Nojiri, Shuko Hayakawa, Eri Masui, Yoshihiro Tajima, Manabu Nishino, Koichi Nishizaki, Yuji Takahashi, Kazuhisa |
author_facet | Sekimoto, Yasuhito Sekiya, Mitsuaki Nojiri, Shuko Hayakawa, Eri Masui, Yoshihiro Tajima, Manabu Nishino, Koichi Nishizaki, Yuji Takahashi, Kazuhisa |
author_sort | Sekimoto, Yasuhito |
collection | PubMed |
description | Coronavirus disease 2019 (COVID-19) has overwhelmed hospitals worldwide. In Japan, serum interferon lambda 3 (IFN-λ3) and C–C motif ligand (CCL) 17 levels have been used as predictive markers for disease progression to severe COVID-19. However, the relationship between these predictive markers and the disease progression of COVID-19 has not been well evaluated. We retrospectively evaluated the patient characteristics, serum IFN-λ3 and CCL17 levels, and comorbidities of 92 patients with mild (n = 20) and moderate (n = 72) COVID-19 who were hospitalized in our institution. The results of the multivariable analysis showed that the positive rates of IFN-λ3, CCL17, and the combination of these markers were significantly elevated in patients with progressed COVID-19. Furthermore, patients who were negative for both markers did not experience disease progression. This study illustrates the importance of measuring these markers to predict disease severity and progression in patients with COVID-19. |
format | Online Article Text |
id | pubmed-9834168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | The Japanese Respiratory Society. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98341682023-01-12 IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting Sekimoto, Yasuhito Sekiya, Mitsuaki Nojiri, Shuko Hayakawa, Eri Masui, Yoshihiro Tajima, Manabu Nishino, Koichi Nishizaki, Yuji Takahashi, Kazuhisa Respir Investig Rapid Communication Coronavirus disease 2019 (COVID-19) has overwhelmed hospitals worldwide. In Japan, serum interferon lambda 3 (IFN-λ3) and C–C motif ligand (CCL) 17 levels have been used as predictive markers for disease progression to severe COVID-19. However, the relationship between these predictive markers and the disease progression of COVID-19 has not been well evaluated. We retrospectively evaluated the patient characteristics, serum IFN-λ3 and CCL17 levels, and comorbidities of 92 patients with mild (n = 20) and moderate (n = 72) COVID-19 who were hospitalized in our institution. The results of the multivariable analysis showed that the positive rates of IFN-λ3, CCL17, and the combination of these markers were significantly elevated in patients with progressed COVID-19. Furthermore, patients who were negative for both markers did not experience disease progression. This study illustrates the importance of measuring these markers to predict disease severity and progression in patients with COVID-19. The Japanese Respiratory Society. Published by Elsevier B.V. 2023-03 2023-01-12 /pmc/articles/PMC9834168/ /pubmed/36682084 http://dx.doi.org/10.1016/j.resinv.2022.12.006 Text en © 2023 The Japanese Respiratory Society. Published by Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Rapid Communication Sekimoto, Yasuhito Sekiya, Mitsuaki Nojiri, Shuko Hayakawa, Eri Masui, Yoshihiro Tajima, Manabu Nishino, Koichi Nishizaki, Yuji Takahashi, Kazuhisa IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting |
title | IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting |
title_full | IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting |
title_fullStr | IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting |
title_full_unstemmed | IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting |
title_short | IFN-λ3 and CCL17 as predictors of disease progression in patients with mild to moderate COVID-19: A cohort study in a real-world setting |
title_sort | ifn-λ3 and ccl17 as predictors of disease progression in patients with mild to moderate covid-19: a cohort study in a real-world setting |
topic | Rapid Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834168/ https://www.ncbi.nlm.nih.gov/pubmed/36682084 http://dx.doi.org/10.1016/j.resinv.2022.12.006 |
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