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Comparison of clinical characteristics between COVID-19 and H7N9 fatal cases: An observational study
Frontiers in public health ; 10, 2022.
Article in English | EuropePMC | ID: covidwho-2156796
ABSTRACT
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.
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Collection: Databases of international organizations Database: EuropePMC Type of study: Observational study / Prognostic study Language: English Journal: Frontiers in public health Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EuropePMC Type of study: Observational study / Prognostic study Language: English Journal: Frontiers in public health Year: 2022 Document Type: Article