Individualized prediction nomograms for disease progression in mild COVID-19.

Huang, Jiaofeng; Cheng, Aiguo; Lin, Su; Zhu, Yueyong; Chen, Gongping

Huang, Jiaofeng; Cheng, Aiguo; Lin, Su; Zhu, Yueyong; Chen, Gongping.

Afiliação

Huang J; Department of Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Cheng A; Department of Critical Care, The Third People's Hospital of Yichang, China.
Lin S; Department of Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Zhu Y; Department of Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Chen G; Department of Respiratory, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

J Med Virol ; 92(10): 2074-2080, 2020 10.

Article em En | MEDLINE | ID: mdl-32369205

Assuntos

COVID-19/patologia; COVID-19/virologia; Progressão da Doença; Feminino; Humanos; Linfócitos/patologia; Masculino; Pessoa de Meia-Idade; Análise Multivariada; Neutrófilos/patologia; Pandemias; Pneumonia Viral/patologia; Pneumonia Viral/virologia; Curva ROC; Estudos Retrospectivos; Fatores de Risco; SARS-CoV-2/patogenicidade

Palavras-chave

COVID-19; mild; nomogram; progression; risk factor

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Middle aged Idioma: En Revista: J Med Virol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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