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The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study
BACKGROUND: Patients with cardiovascular comorbidities are at high risk of poor outcome from COVID-19. However, how the burden (number) of vascular risk factors influences the risk of severe COVID-19 disease remains unresolved. Our aim was to investigate the association of severe COVID-19 illness wi...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503438/ https://www.ncbi.nlm.nih.gov/pubmed/32957997 http://dx.doi.org/10.1186/s12931-020-01510-0 |
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author | Du, Houwei Pan, Xiaobin Liu, Nan Chen, Junnian Chen, Xiaoling Werring, David J. Ambler, Gareth Li, Xiaoqing Chen, Ronghua Zhang, Yixian Huang, Huayao Lin, Feifei Xia, Pincang Chen, Chao Zheng, Zhenyang Wu, Sangru Lei, Hanhan Gao, Lei Huang, Mingxu Lin, Kexu Xu, Xiaoping Luo, Yukun Zhao, Ziwen Li, Chen Lin, Hailong Lin, Yu Huang, Zhenghui Cao, Rongxiang Chen, Limin |
author_facet | Du, Houwei Pan, Xiaobin Liu, Nan Chen, Junnian Chen, Xiaoling Werring, David J. Ambler, Gareth Li, Xiaoqing Chen, Ronghua Zhang, Yixian Huang, Huayao Lin, Feifei Xia, Pincang Chen, Chao Zheng, Zhenyang Wu, Sangru Lei, Hanhan Gao, Lei Huang, Mingxu Lin, Kexu Xu, Xiaoping Luo, Yukun Zhao, Ziwen Li, Chen Lin, Hailong Lin, Yu Huang, Zhenghui Cao, Rongxiang Chen, Limin |
author_sort | Du, Houwei |
collection | PubMed |
description | BACKGROUND: Patients with cardiovascular comorbidities are at high risk of poor outcome from COVID-19. However, how the burden (number) of vascular risk factors influences the risk of severe COVID-19 disease remains unresolved. Our aim was to investigate the association of severe COVID-19 illness with vascular risk factor burden. METHODS: We included 164 (61.8 ± 13.6 years) patients with COVID-19 in this retrospective study. We compared the difference in clinical characteristics, laboratory findings and chest computed tomography (CT) findings between patients with severe and non-severe COVID-19 illness. We evaluated the association between the number of vascular risk factors and the development of severe COVID-19 disease, using a Cox regression model. RESULTS: Sixteen (9.8%) patients had no vascular risk factors; 38 (23.2%) had 1; 58 (35.4%) had 2; 34 (20.7%) had 3; and 18 (10.9%) had ≥4 risk factors. Twenty-nine patients (17.7%) experienced severe COVID-19 disease with a median (14 [7–27] days) duration between onset to developing severe COVID-19 disease, an event rate of 4.47 per 1000-patient days (95%CI 3.10–6.43). Kaplan-Meier curves showed a gradual increase in the risk of severe COVID-19 illness (log-rank P < 0.001) stratified by the number of vascular risk factors. After adjustment for age, sex, and comorbidities as potential confounders, vascular risk factor burden remained associated with an increasing risk of severe COVID-19 illness. CONCLUSIONS: Patients with increasing vascular risk factor burden have an increasing risk of severe COVID-19 disease, and this population might benefit from specific COVID-19 prevention (e.g., self-isolation) and early hospital treatment measures. |
format | Online Article Text |
id | pubmed-7503438 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75034382020-09-21 The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study Du, Houwei Pan, Xiaobin Liu, Nan Chen, Junnian Chen, Xiaoling Werring, David J. Ambler, Gareth Li, Xiaoqing Chen, Ronghua Zhang, Yixian Huang, Huayao Lin, Feifei Xia, Pincang Chen, Chao Zheng, Zhenyang Wu, Sangru Lei, Hanhan Gao, Lei Huang, Mingxu Lin, Kexu Xu, Xiaoping Luo, Yukun Zhao, Ziwen Li, Chen Lin, Hailong Lin, Yu Huang, Zhenghui Cao, Rongxiang Chen, Limin Respir Res Research BACKGROUND: Patients with cardiovascular comorbidities are at high risk of poor outcome from COVID-19. However, how the burden (number) of vascular risk factors influences the risk of severe COVID-19 disease remains unresolved. Our aim was to investigate the association of severe COVID-19 illness with vascular risk factor burden. METHODS: We included 164 (61.8 ± 13.6 years) patients with COVID-19 in this retrospective study. We compared the difference in clinical characteristics, laboratory findings and chest computed tomography (CT) findings between patients with severe and non-severe COVID-19 illness. We evaluated the association between the number of vascular risk factors and the development of severe COVID-19 disease, using a Cox regression model. RESULTS: Sixteen (9.8%) patients had no vascular risk factors; 38 (23.2%) had 1; 58 (35.4%) had 2; 34 (20.7%) had 3; and 18 (10.9%) had ≥4 risk factors. Twenty-nine patients (17.7%) experienced severe COVID-19 disease with a median (14 [7–27] days) duration between onset to developing severe COVID-19 disease, an event rate of 4.47 per 1000-patient days (95%CI 3.10–6.43). Kaplan-Meier curves showed a gradual increase in the risk of severe COVID-19 illness (log-rank P < 0.001) stratified by the number of vascular risk factors. After adjustment for age, sex, and comorbidities as potential confounders, vascular risk factor burden remained associated with an increasing risk of severe COVID-19 illness. CONCLUSIONS: Patients with increasing vascular risk factor burden have an increasing risk of severe COVID-19 disease, and this population might benefit from specific COVID-19 prevention (e.g., self-isolation) and early hospital treatment measures. BioMed Central 2020-09-21 2020 /pmc/articles/PMC7503438/ /pubmed/32957997 http://dx.doi.org/10.1186/s12931-020-01510-0 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Du, Houwei Pan, Xiaobin Liu, Nan Chen, Junnian Chen, Xiaoling Werring, David J. Ambler, Gareth Li, Xiaoqing Chen, Ronghua Zhang, Yixian Huang, Huayao Lin, Feifei Xia, Pincang Chen, Chao Zheng, Zhenyang Wu, Sangru Lei, Hanhan Gao, Lei Huang, Mingxu Lin, Kexu Xu, Xiaoping Luo, Yukun Zhao, Ziwen Li, Chen Lin, Hailong Lin, Yu Huang, Zhenghui Cao, Rongxiang Chen, Limin The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study |
title | The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study |
title_full | The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study |
title_fullStr | The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study |
title_full_unstemmed | The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study |
title_short | The effect of vascular risk factor burden on the severity of COVID-19 illness, a retrospective cohort study |
title_sort | effect of vascular risk factor burden on the severity of covid-19 illness, a retrospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503438/ https://www.ncbi.nlm.nih.gov/pubmed/32957997 http://dx.doi.org/10.1186/s12931-020-01510-0 |
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