Comparison of clinical characteristics between COVID-19 and H7N9 fatal cases : An observational study
Copyright © 2022 Jiang, Liu, Chan, Yin, Huang, Shen, Tu, Kang, Liu, Zhao, Zhang, Xu, Li, Liu and Huang..
Objective: The outbreak of COVID-19 in 2020 is reminiscent of the H7N9 outbreak in 2013, which poses a huge threat to human health. We aim to compare clinical features and survival factors in fatal cases of COVID-19 and H7N9.
Methods: Data on confirmed COVID-19 and H7N9 fatal cases identified in mainland China were analyzed to compare demographic characteristics and clinical severity. Survival curves were estimated by the Kaplan-Meier method and compared using log-rank tests and a restricted mean survival time model. A Cox regression model was used to identify survival factors in fatal cases of COVID-19 and H7N9.
Results: Similar demographic characteristics were observed in fatal cases of COVID-19 and H7N9. The proportion of fatal cases of H7N9 receiving antibiotics, antiviral drugs, and oxygen treatment was higher than that of COVID-19. The potential protective factors for fatal COVID-19 cases were receiving antibiotics (HR: 0.37, 95% CI: 0.22-0.61), oxygen treatment (HR: 0.66, 95% CI: 0.44-0.99), and corticosteroids (HR: 0.46, 95% CI: 0.35-0.62). In contrast, antiviral drugs (HR: 0.21, 95% CI: 0.08-0.56) and corticosteroids (HR: 0.45, 95% CI: 0.29-0.69) were the protective factors for H7N9 fatal cases.
Conclusion: The proportion of males, those having one or more underlying medical condition, and older age was high in COVID-19 and H7N9 fatal cases. Offering antibiotics, oxygen treatment, and corticosteroids to COVID-19 cases extended the survival time. Continued global surveillance remains an essential component of pandemic preparedness.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
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Enthalten in: |
Frontiers in public health - 10(2022) vom: 02., Seite 1047362 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Jiang, Hui [VerfasserIn] |
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Links: |
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Themen: |
Antiviral Agents |
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Anmerkungen: |
Date Completed 16.12.2022 Date Revised 30.01.2023 published: Electronic-eCollection Citation Status MEDLINE |
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doi: |
10.3389/fpubh.2022.1047362 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM350171467 |
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520 | |a Copyright © 2022 Jiang, Liu, Chan, Yin, Huang, Shen, Tu, Kang, Liu, Zhao, Zhang, Xu, Li, Liu and Huang. | ||
520 | |a Objective: The outbreak of COVID-19 in 2020 is reminiscent of the H7N9 outbreak in 2013, which poses a huge threat to human health. We aim to compare clinical features and survival factors in fatal cases of COVID-19 and H7N9 | ||
520 | |a Methods: Data on confirmed COVID-19 and H7N9 fatal cases identified in mainland China were analyzed to compare demographic characteristics and clinical severity. Survival curves were estimated by the Kaplan-Meier method and compared using log-rank tests and a restricted mean survival time model. A Cox regression model was used to identify survival factors in fatal cases of COVID-19 and H7N9 | ||
520 | |a Results: Similar demographic characteristics were observed in fatal cases of COVID-19 and H7N9. The proportion of fatal cases of H7N9 receiving antibiotics, antiviral drugs, and oxygen treatment was higher than that of COVID-19. The potential protective factors for fatal COVID-19 cases were receiving antibiotics (HR: 0.37, 95% CI: 0.22-0.61), oxygen treatment (HR: 0.66, 95% CI: 0.44-0.99), and corticosteroids (HR: 0.46, 95% CI: 0.35-0.62). In contrast, antiviral drugs (HR: 0.21, 95% CI: 0.08-0.56) and corticosteroids (HR: 0.45, 95% CI: 0.29-0.69) were the protective factors for H7N9 fatal cases | ||
520 | |a Conclusion: The proportion of males, those having one or more underlying medical condition, and older age was high in COVID-19 and H7N9 fatal cases. Offering antibiotics, oxygen treatment, and corticosteroids to COVID-19 cases extended the survival time. Continued global surveillance remains an essential component of pandemic preparedness | ||
650 | 4 | |a Observational Study | |
650 | 4 | |a Journal Article | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 4 | |a COVID-19 | |
650 | 4 | |a H7N9 | |
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650 | 4 | |a protective factors | |
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700 | 1 | |a Tu, Shengjin |e verfasserin |4 aut | |
700 | 1 | |a Kang, Liang |e verfasserin |4 aut | |
700 | 1 | |a Liu, Wen |e verfasserin |4 aut | |
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700 | 1 | |a Zhang, Di |e verfasserin |4 aut | |
700 | 1 | |a Xu, Wangli |e verfasserin |4 aut | |
700 | 1 | |a Li, Weimin |e verfasserin |4 aut | |
700 | 1 | |a Liu, Shelan |e verfasserin |4 aut | |
700 | 1 | |a Huang, Chaolin |e verfasserin |4 aut | |
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