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10.1183/13993003.01234-2020

http://scihub22266oqcxt.onion/10.1183/13993003.01234-2020
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C7241108!7241108!32430433
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suck abstract from ncbi


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pmid32430433      Eur+Respir+J 2020 ; 56 (1): ä
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  • A predictive model for disease progression in non-severely ill patients with coronavirus disease 2019 #MMPMID32430433
  • Ji M; Yuan L; Shen W; Lv J; Li Y; Chen J; Zhu C; Liu B; Liang Z; Lin Q; Xie W; Li M; Chen Z; Lu X; Ding Y; An P; Zhu S; Gao M; Ni H; Hu L; Shi G; Shi L; Dong W
  • Eur Respir J 2020[Jul]; 56 (1): ä PMID32430433show ga
  • 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].
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