Author: Kaeuffer, Charlotte; Ruch, Yvon; Fabacher, Thibaut; Hinschberger, Olivier; Mootien, Joy; Eyriey, Magali; Greigert, Valentin; Meyer, icolas; Fafi-Kremer, Samira; Lefebvre, Nicolas; Hansmann, Yves; Martinot, Martin; Danion, François
Title: The BAS²IC score: a useful tool to identify patients at high risk of early progression to severe COVID-19 Cord-id: oj94e8wo Document date: 2020_9_1
ID: oj94e8wo
Snippet: We developed a score, based on easily accessible data (age, sex, BMI, dyspnea and inflammatory parameters), to predict the risk of rapid progression to severe disease in hospitalized patients with COVID-19. Using a cut-off of >6 points, the negative and positive predictive values were 87% and 49%, respectively.
Document: We developed a score, based on easily accessible data (age, sex, BMI, dyspnea and inflammatory parameters), to predict the risk of rapid progression to severe disease in hospitalized patients with COVID-19. Using a cut-off of >6 points, the negative and positive predictive values were 87% and 49%, respectively.
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