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Development of a novel score model to predict hyperinflammation in COVID-19 as a forecast of optimal steroid administration timing.
Takeshita, Yuichiro; Terada, Jiro; Hirasawa, Yasutaka; Kinoshita, Taku; Tajima, Hiroshi; Koshikawa, Ken; Kinouchi, Toru; Isaka, Yuri; Shionoya, Yu; Fujikawa, Atsushi; Kato, Yasuyuki; To, Yasuo; Tada, Yuji; Tsushima, Kenji.
Afiliación
  • Takeshita Y; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Terada J; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Hirasawa Y; Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Kinoshita T; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Tajima H; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Koshikawa K; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Kinouchi T; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Isaka Y; Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Shionoya Y; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Fujikawa A; Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Kato Y; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • To Y; Department of Respirology, Graduate School of Medicine, Chiba University, Chiba, Japan.
  • Tada Y; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
  • Tsushima K; Department of Pulmonary Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
Front Med (Lausanne) ; 9: 935255, 2022.
Article en En | MEDLINE | ID: mdl-36017008
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Japón
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Japón