Your browser doesn't support javascript.
loading
MR-proADM as Prognostic Factor of Outcome in COVID-19 Patients.
Cameli, Paolo; Pordon, Elena; d'Alessandro, Miriana; Marzi, Maria Laura; Galasso, Lucrezia; Biuzzi, Cesare; Bergantini, Laura; Bargagli, Elena; Scolletta, Sabino; Franchi, Federico.
Affiliation
  • Cameli P; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Pordon E; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • d'Alessandro M; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Marzi ML; Anesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neurosciences, University Hospital of Siena, 53100 Siena, Italy.
  • Galasso L; Clinical Pathology Unit, Innovation, Experimentation and Clinical and Translational Research Department, University Hospital of Siena, 53100 Siena, Italy.
  • Biuzzi C; Anesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neurosciences, University Hospital of Siena, 53100 Siena, Italy.
  • Bergantini L; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Bargagli E; Respiratory Diseases Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
  • Scolletta S; Anesthesia and Intensive Care Unit, Department of Medicine, Surgery and Neurosciences, University Hospital of Siena, 53100 Siena, Italy.
  • Franchi F; Cardiothoracic and Vascular Anesthesia and Intensive Care Unit, Department of Medical Science, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Biomedicines ; 11(6)2023 Jun 09.
Article in En | MEDLINE | ID: mdl-37371775

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Biomedicines Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Biomedicines Year: 2023 Document type: Article