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Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) is now becoming an enormous threat to public health. The clinical spectrum of COVID-19 is extensive, of which critical cases are with rapid disease progression and high mortality. The aim of our study is to summarize the characteristics...
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/PMC7341711/ https://www.ncbi.nlm.nih.gov/pubmed/32641121 http://dx.doi.org/10.1186/s40249-020-00710-6 |
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author | Zhang, Shan-Yan Lian, Jiang-Shan Hu, Jian-Hua Zhang, Xiao-Li Lu, Ying-Feng Cai, Huan Gu, Jue-Qing Ye, Chan-Yuan Jin, Ci-Liang Yu, Guo-Dong Jia, Hong-Yu Zhang, Yi-Min Sheng, Ji-Fang Li, Lan-Juan Yang, Yi-Da |
author_facet | Zhang, Shan-Yan Lian, Jiang-Shan Hu, Jian-Hua Zhang, Xiao-Li Lu, Ying-Feng Cai, Huan Gu, Jue-Qing Ye, Chan-Yuan Jin, Ci-Liang Yu, Guo-Dong Jia, Hong-Yu Zhang, Yi-Min Sheng, Ji-Fang Li, Lan-Juan Yang, Yi-Da |
author_sort | Zhang, Shan-Yan |
collection | PubMed |
description | BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) is now becoming an enormous threat to public health. The clinical spectrum of COVID-19 is extensive, of which critical cases are with rapid disease progression and high mortality. The aim of our study is to summarize the characteristics of different subtypes and explore risk factors of illness severity for early identification and prompt treatment. METHODS: In this retrospective study, we collected data of patients confirmed COVID-19 in Zhejiang Province from 17 January to 12 February 2020. According to the definition of clinical classification, we divided confirmed cases into four types, and summarize epidemiological and clinical characteristics, laboratory and radiograph findings, treatments, and outcomes, respectively. Moreover, we used univariate and multivariate ordinal logistic regression models to explore risk factors for the severity of illness in patients with COVID-19. RESULTS: A total of 788 patients were enrolled in our study, of whom 52 cases (6.6%) were mild type, 658 cases (83.5%) were common type, 61 cases (7.2%) were severe type, and 17 cases (2.2%) were critical type. Multivariate ordinal logistic regression demonstrated increasing odds of the severity of illness in patients with COVID-19 associated with male (odds ratio [OR] = 1.7, 95% confidence interval [CI]: 1.2–2.6 P = 0.008), fever (OR = 3.6, 95% CI: 2.1–6.3, P < 0.001), cough (OR = 1.7, 95% CI: 1.0–2.9, P = 0.041), hemoptysis (OR = 3.4, 95% CI: 1.1–10.3, P = 0.032), gastrointestinal symptoms (OR = 1.9, 95% CI: 1.0–3.5, P = 0.047), hypertension (OR = 2.6, 95% CI: 1.2–5.6, P = 0.013). With the increase of age-grading, risk for the severity of illness was gradually higher (≤ 18 years [OR = 1.0], 19–40 years [OR = 12.7, 95% CI: 4.5–36.0, P < 0.001], 41–65 years [OR = 14.8, 95% CI: 5.2–42.1, P < 0.001], ≥ 66 years [OR = 56.5, 95% CI: 17.1–186.5, P < 0.001]). CONCLUSIONS: Clinicians should pay close attention to these features in patients with COVID-19 including older age, male, fever, cough, hemoptysis, gastrointestinal symptoms and hypertension to identify the severity of illness as early as possible. |
format | Online Article Text |
id | pubmed-7341711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73417112020-07-08 Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China Zhang, Shan-Yan Lian, Jiang-Shan Hu, Jian-Hua Zhang, Xiao-Li Lu, Ying-Feng Cai, Huan Gu, Jue-Qing Ye, Chan-Yuan Jin, Ci-Liang Yu, Guo-Dong Jia, Hong-Yu Zhang, Yi-Min Sheng, Ji-Fang Li, Lan-Juan Yang, Yi-Da Infect Dis Poverty Research Article BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) is now becoming an enormous threat to public health. The clinical spectrum of COVID-19 is extensive, of which critical cases are with rapid disease progression and high mortality. The aim of our study is to summarize the characteristics of different subtypes and explore risk factors of illness severity for early identification and prompt treatment. METHODS: In this retrospective study, we collected data of patients confirmed COVID-19 in Zhejiang Province from 17 January to 12 February 2020. According to the definition of clinical classification, we divided confirmed cases into four types, and summarize epidemiological and clinical characteristics, laboratory and radiograph findings, treatments, and outcomes, respectively. Moreover, we used univariate and multivariate ordinal logistic regression models to explore risk factors for the severity of illness in patients with COVID-19. RESULTS: A total of 788 patients were enrolled in our study, of whom 52 cases (6.6%) were mild type, 658 cases (83.5%) were common type, 61 cases (7.2%) were severe type, and 17 cases (2.2%) were critical type. Multivariate ordinal logistic regression demonstrated increasing odds of the severity of illness in patients with COVID-19 associated with male (odds ratio [OR] = 1.7, 95% confidence interval [CI]: 1.2–2.6 P = 0.008), fever (OR = 3.6, 95% CI: 2.1–6.3, P < 0.001), cough (OR = 1.7, 95% CI: 1.0–2.9, P = 0.041), hemoptysis (OR = 3.4, 95% CI: 1.1–10.3, P = 0.032), gastrointestinal symptoms (OR = 1.9, 95% CI: 1.0–3.5, P = 0.047), hypertension (OR = 2.6, 95% CI: 1.2–5.6, P = 0.013). With the increase of age-grading, risk for the severity of illness was gradually higher (≤ 18 years [OR = 1.0], 19–40 years [OR = 12.7, 95% CI: 4.5–36.0, P < 0.001], 41–65 years [OR = 14.8, 95% CI: 5.2–42.1, P < 0.001], ≥ 66 years [OR = 56.5, 95% CI: 17.1–186.5, P < 0.001]). CONCLUSIONS: Clinicians should pay close attention to these features in patients with COVID-19 including older age, male, fever, cough, hemoptysis, gastrointestinal symptoms and hypertension to identify the severity of illness as early as possible. BioMed Central 2020-07-08 /pmc/articles/PMC7341711/ /pubmed/32641121 http://dx.doi.org/10.1186/s40249-020-00710-6 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 Article Zhang, Shan-Yan Lian, Jiang-Shan Hu, Jian-Hua Zhang, Xiao-Li Lu, Ying-Feng Cai, Huan Gu, Jue-Qing Ye, Chan-Yuan Jin, Ci-Liang Yu, Guo-Dong Jia, Hong-Yu Zhang, Yi-Min Sheng, Ji-Fang Li, Lan-Juan Yang, Yi-Da Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China |
title | Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China |
title_full | Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China |
title_fullStr | Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China |
title_full_unstemmed | Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China |
title_short | Clinical characteristics of different subtypes and risk factors for the severity of illness in patients with COVID-19 in Zhejiang, China |
title_sort | clinical characteristics of different subtypes and risk factors for the severity of illness in patients with covid-19 in zhejiang, china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7341711/ https://www.ncbi.nlm.nih.gov/pubmed/32641121 http://dx.doi.org/10.1186/s40249-020-00710-6 |
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