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Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study
Objective: Since December 2019, an outbreak of coronavirus disease 2019 (COVID 19) has been experienced from Wuhan, China to the world. A retrospective cohort study was conducted to summarize the clinical characteristics of patients with COVID-19 and to explore the risk factors affecting the disease...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757033/ https://www.ncbi.nlm.nih.gov/pubmed/33390828 http://dx.doi.org/10.7150/ijbs.50654 |
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author | Lv, Zhengtong Lv, Shubin |
author_facet | Lv, Zhengtong Lv, Shubin |
author_sort | Lv, Zhengtong |
collection | PubMed |
description | Objective: Since December 2019, an outbreak of coronavirus disease 2019 (COVID 19) has been experienced from Wuhan, China to the world. A retrospective cohort study was conducted to summarize the clinical characteristics of patients with COVID-19 and to explore the risk factors affecting the disease duration in Jiangan Fangcang shelter hospital, Wuhan, China. Methods: Clinical characteristics of 409 patients with COVID-19 were retrospectively analyzed. We describe the clinical characteristics and distribution of discharge time or transfer time for each patient. Then we performed univariate and multivariate Cox regression analysis to identify potential risk factors for progression from non-severe to severe COVID-19 or death. Results: The median disease duration of all patients was 23 days (IQR 19-28). The main symptoms of the patient were fever (95.6%), cough (74.3%), tiredness (21.5%), and so on. Comorbidities mainly included hypertension (30.6%) diabetes (17.6%) and heart disease (12.5%). The univariate Cox regression analysis showed that old age, number of symptoms, the combination of hypertension, heart disease and pulmonary disease were associated with the progression of disease. The multivariate Cox regression analysis showed that old age (HR: 7.294; 95% CI: 1.442-36.888; P = 0.016), the combination of hypertension (HR: 2.230; 95% CI: 1.090-4.562; P = 0.028) and heart disease (HR: 2.650; 95% CI: 1.079-6.510; P = 0.034) were independent risk factors for progression of COVID-19. Conclusions: The age of the patient, the combination of hypertension and heart disease were independent risk factors for the progression of COVID-19. Cautions should be raised for patients with these risk factors. |
format | Online Article Text |
id | pubmed-7757033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-77570332021-01-01 Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study Lv, Zhengtong Lv, Shubin Int J Biol Sci Research Paper Objective: Since December 2019, an outbreak of coronavirus disease 2019 (COVID 19) has been experienced from Wuhan, China to the world. A retrospective cohort study was conducted to summarize the clinical characteristics of patients with COVID-19 and to explore the risk factors affecting the disease duration in Jiangan Fangcang shelter hospital, Wuhan, China. Methods: Clinical characteristics of 409 patients with COVID-19 were retrospectively analyzed. We describe the clinical characteristics and distribution of discharge time or transfer time for each patient. Then we performed univariate and multivariate Cox regression analysis to identify potential risk factors for progression from non-severe to severe COVID-19 or death. Results: The median disease duration of all patients was 23 days (IQR 19-28). The main symptoms of the patient were fever (95.6%), cough (74.3%), tiredness (21.5%), and so on. Comorbidities mainly included hypertension (30.6%) diabetes (17.6%) and heart disease (12.5%). The univariate Cox regression analysis showed that old age, number of symptoms, the combination of hypertension, heart disease and pulmonary disease were associated with the progression of disease. The multivariate Cox regression analysis showed that old age (HR: 7.294; 95% CI: 1.442-36.888; P = 0.016), the combination of hypertension (HR: 2.230; 95% CI: 1.090-4.562; P = 0.028) and heart disease (HR: 2.650; 95% CI: 1.079-6.510; P = 0.034) were independent risk factors for progression of COVID-19. Conclusions: The age of the patient, the combination of hypertension and heart disease were independent risk factors for the progression of COVID-19. Cautions should be raised for patients with these risk factors. Ivyspring International Publisher 2021-01-01 /pmc/articles/PMC7757033/ /pubmed/33390828 http://dx.doi.org/10.7150/ijbs.50654 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Lv, Zhengtong Lv, Shubin Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study |
title | Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study |
title_full | Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study |
title_fullStr | Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study |
title_full_unstemmed | Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study |
title_short | Clinical characteristics and analysis of risk factors for disease progression of COVID-19: A retrospective Cohort Study |
title_sort | clinical characteristics and analysis of risk factors for disease progression of covid-19: a retrospective cohort study |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7757033/ https://www.ncbi.nlm.nih.gov/pubmed/33390828 http://dx.doi.org/10.7150/ijbs.50654 |
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