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Dataset Information

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


ABSTRACT:

Objectives

COVID-19 pandemic seems to be under control. However, despite the vaccines, 5 to 10% of the patients with mild disease develop moderate to critical forms with potential lethal evolution. In addition to assess lung infection spread, chest CT helps to detect complications. Developing a prediction model to identify at-risk patients of worsening from mild COVID-19 combining simple clinical and biological parameters with qualitative or quantitative data using CT would be relevant to organizing optimal patient management.

Methods

Four French hospitals were used for model training and internal validation. External validation was conducted in two independent hospitals. We used easy-to-obtain clinical (age, gender, smoking, symptoms' onset, cardiovascular comorbidities, di

SUBMITTER: Zysman M 

PROVIDER: S-EPMC10667132 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature