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- W3025861144 abstract "Over the past 3 months, coronavirus disease 2019 (COVID-19) has emerged across China and developed into a worldwide outbreak [1]. The disease has caused varying degrees of illness. The proportion of patients with COVID-19 with non-severe illness was 84.3% on admission, and severe cases accounted for 15.7% [2]. Most of the non-severe pneumonia patients would gradually alleviate and be cured with treatment, while others would rapidly progress to severe illness, which has a poor prognosis [3, 4]. As recently reported, the cumulative risk of the composite end-point was 3.6% in all COVID-19 patients, and the cumulative risk was 20.6% for severe illness [2]. A predictive model for COVID-19 <https://bit.ly/2WHiEkJ>" @default.
- W3025861144 created "2020-05-21" @default.
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- W3025861144 date "2020-05-19" @default.
- W3025861144 modified "2023-10-12" @default.
- W3025861144 title "A predictive model for disease progression in non-severely ill patients with coronavirus disease 2019" @default.
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- W3025861144 doi "https://doi.org/10.1183/13993003.01234-2020" @default.
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