Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19 - Takeaways - MDSpire

Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19

  • By

  • Maéva Zysman

  • Julien Asselineau

  • Olivier Saut

  • Eric Frison

  • Mathilde Oranger

  • Arnaud Maurac

  • Jeremy Charriot

  • Rkia Achkir

  • Sophie Regueme

  • Emilie Klein

  • Sébastien Bommart

  • Arnaud Bourdin

  • Gael Dournes

  • Julien Casteigt

  • Alain Blum

  • Gilbert Ferretti

  • Bruno Degano

  • Rodolphe Thiébaut

  • Francois Chabot

  • Patrick Berger

  • Francois Laurent

  • Ilyes Benlala

  • July 5, 2023

  • 0 min

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  • 1

    A prediction model was developed to assess the risk of progression from mild to severe COVID-19 using clinical, biological, and CT data.

  • 2

    The study included patients with mild COVID-19 symptoms and aimed to identify those at risk of deterioration within 30 days.

  • 3

    Chest CT plays a crucial role in managing COVID-19, aiding in early diagnosis and detecting complications like thromboembolism.

  • 4

    The model was validated using a multicenter approach, incorporating both non-contrast and contrast-enhanced CT scans.

  • 5

    Early identification of at-risk patients may improve healthcare resource allocation and guide therapeutic interventions.

Original Source(s)

Development and external validation of a prediction model for the transition from mild to moderate or severe form of COVID-19

  • by Maéva Zysman, Julien Asselineau, Olivier Saut, Eric Frison, Mathilde Oranger, Arnaud Maurac, Jeremy Charriot, Rkia Achkir, Sophie Regueme, Emilie Klein, Sébastien Bommart, Arnaud Bourdin, Gael Dournes, Julien Casteigt, Alain Blum, Gilbert Ferretti, Bruno Degano, Rodolphe Thiébaut, Francois Chabot, Patrick Berger, Francois Laurent, Ilyes Benlala

  • July 5, 2023

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