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Sci Rep . Clinical course and risk factors of fatal adverse outcomes in COVID-19 patients in Korea: a nationwide retrospective cohort study

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  • Sci Rep . Clinical course and risk factors of fatal adverse outcomes in COVID-19 patients in Korea: a nationwide retrospective cohort study


    Sci Rep


    . 2021 May 12;11(1):10066.
    doi: 10.1038/s41598-021-89548-y.
    Clinical course and risk factors of fatal adverse outcomes in COVID-19 patients in Korea: a nationwide retrospective cohort study


    Juhyun Song 1 , Dae Won Park 2 , Jae-Hyung Cha 3 , Hyeri Seok 2 , Joo Yeong Kim 1 , Jonghak Park 1 , Hanjin Cho 4



    Affiliations

    Abstract

    We investigated association between epidemiological and clinical characteristics of coronavirus disease 2019 (COVID-19) patients and clinical outcomes in Korea. This nationwide retrospective cohort study included 5621 discharged patients with COVID-19, extracted from the Korea Disease Control and Prevention Agency (KDCA) database. We compared clinical data between survivors (n = 5387) and non-survivors (n = 234). We used logistic regression analysis and Cox proportional hazards model to explore risk factors of death and fatal adverse outcomes. Increased odds ratio (OR) of mortality occurred with age (? 60 years) [OR 11.685, 95% confidence interval (CI) 4.655-34.150, p < 0.001], isolation period, dyspnoea, altered mentality, diabetes, malignancy, dementia, and intensive care unit (ICU) admission. The multivariable regression equation including all potential variables predicted mortality (AUC = 0.979, 95% CI 0.964-0.993). Cox proportional hazards model showed increasing hazard ratio (HR) of mortality with dementia (HR 6.376, 95% CI 3.736-10.802, p < 0.001), ICU admission (HR 4.233, 95% CI 2.661-6.734, p < 0.001), age ? 60 years (HR 3.530, 95% CI 1.664-7.485, p = 0.001), malignancy (HR 3.054, 95% CI 1.494-6.245, p = 0.002), and dyspnoea (HR 1.823, 95% CI 1.125-2.954, p = 0.015). Presence of dementia, ICU admission, age ? 60 years, malignancy, and dyspnoea could help clinicians identify COVID-19 patients with poor prognosis.


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