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Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study
BACKGROUND: The Japanese Association of Dialysis Physicians, the Japanese Society for Dialysis Therapy, and the Japanese Society of Nephrology jointly established COVID-19 Task Force Committee and began surveying the number of newly infected patients. METHODS: This registry of the COVID-19 Task Forc...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529564/ https://www.ncbi.nlm.nih.gov/pubmed/34697570 http://dx.doi.org/10.1186/s41100-021-00378-0 |
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author | Kikuchi, Kan Nangaku, Masaomi Ryuzaki, Munekazu Yamakawa, Tomoyuki Yoshihiro, Oota Hanafusa, Norio Sakai, Ken Kanno, Yoshihiko Ando, Ryoichi Shinoda, Toshio Nakamoto, Hidetomo Akizawa, Tadao |
author_facet | Kikuchi, Kan Nangaku, Masaomi Ryuzaki, Munekazu Yamakawa, Tomoyuki Yoshihiro, Oota Hanafusa, Norio Sakai, Ken Kanno, Yoshihiko Ando, Ryoichi Shinoda, Toshio Nakamoto, Hidetomo Akizawa, Tadao |
author_sort | Kikuchi, Kan |
collection | PubMed |
description | BACKGROUND: The Japanese Association of Dialysis Physicians, the Japanese Society for Dialysis Therapy, and the Japanese Society of Nephrology jointly established COVID-19 Task Force Committee and began surveying the number of newly infected patients. METHODS: This registry of the COVID-19 Task Force Committee was used to collect data of dialysis patients; a total of 1010 dialysis patients with COVID-19 were included in the analysis. Overall survival of patients was investigated with stratification by age group, complication status, and treatment. In addition, predictive factors for mortality were also investigated. The overall survival was estimated by Kaplan–Meier methods and compared by using log-rank test. Multivariate analysis was performed to identify the risk factor of mortality. For all statistical analyses, p < 0.05 was considered to be statistically significant. RESULTS: The mortality risk was increased with age (p < 0.001). The mortality risk was significantly higher in patients with peripheral arterial disease (HR: 1.49, 95% CI 1.05–2.10) and significantly lower in patients who were treated with remdesivir (HR: 0.60, 95% CI 0.37–0.98). Multivariate analysis showed increased risk of mortality with increment in BMI, and increment in CRP, and decreased risk with increment in albumin. CONCLUSION: Dialysis patients have a high severity of illness and a high risk of mortality in cases of COVID-19. Treatment with remdesivir might be effective in shortening the duration of hospitalization and reducing the risk of mortality. |
format | Online Article Text |
id | pubmed-8529564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85295642021-10-21 Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study Kikuchi, Kan Nangaku, Masaomi Ryuzaki, Munekazu Yamakawa, Tomoyuki Yoshihiro, Oota Hanafusa, Norio Sakai, Ken Kanno, Yoshihiko Ando, Ryoichi Shinoda, Toshio Nakamoto, Hidetomo Akizawa, Tadao Ren Replace Ther Research BACKGROUND: The Japanese Association of Dialysis Physicians, the Japanese Society for Dialysis Therapy, and the Japanese Society of Nephrology jointly established COVID-19 Task Force Committee and began surveying the number of newly infected patients. METHODS: This registry of the COVID-19 Task Force Committee was used to collect data of dialysis patients; a total of 1010 dialysis patients with COVID-19 were included in the analysis. Overall survival of patients was investigated with stratification by age group, complication status, and treatment. In addition, predictive factors for mortality were also investigated. The overall survival was estimated by Kaplan–Meier methods and compared by using log-rank test. Multivariate analysis was performed to identify the risk factor of mortality. For all statistical analyses, p < 0.05 was considered to be statistically significant. RESULTS: The mortality risk was increased with age (p < 0.001). The mortality risk was significantly higher in patients with peripheral arterial disease (HR: 1.49, 95% CI 1.05–2.10) and significantly lower in patients who were treated with remdesivir (HR: 0.60, 95% CI 0.37–0.98). Multivariate analysis showed increased risk of mortality with increment in BMI, and increment in CRP, and decreased risk with increment in albumin. CONCLUSION: Dialysis patients have a high severity of illness and a high risk of mortality in cases of COVID-19. Treatment with remdesivir might be effective in shortening the duration of hospitalization and reducing the risk of mortality. BioMed Central 2021-10-21 2021 /pmc/articles/PMC8529564/ /pubmed/34697570 http://dx.doi.org/10.1186/s41100-021-00378-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Kikuchi, Kan Nangaku, Masaomi Ryuzaki, Munekazu Yamakawa, Tomoyuki Yoshihiro, Oota Hanafusa, Norio Sakai, Ken Kanno, Yoshihiko Ando, Ryoichi Shinoda, Toshio Nakamoto, Hidetomo Akizawa, Tadao Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study |
title | Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study |
title_full | Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study |
title_fullStr | Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study |
title_full_unstemmed | Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study |
title_short | Survival and predictive factors in dialysis patients with COVID-19 in Japan: a nationwide cohort study |
title_sort | survival and predictive factors in dialysis patients with covid-19 in japan: a nationwide cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529564/ https://www.ncbi.nlm.nih.gov/pubmed/34697570 http://dx.doi.org/10.1186/s41100-021-00378-0 |
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