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The BAS2IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019

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Kaeuffer, Charlotte | Ruch, Yvon | Fabacher, Thibaut | Hinschberger, Olivier | Mootien, Joy | Eyriey, Magali | Greigert, Valentin | Gravier, Simon | Jocelyn, André | Dervieux, Benjamin | Pointurier, Valentin | Clere-Jehl, Raphael | Collange, Olivier | Ludes, Pierre-Olivier | Harlay, Marie-Line | Bilbaut, Pascal | Terrade, Jean Édouard | Felten, Renaud | Andrès, Emmanuel | Dieudonne, Yannick | Lescuyer, Sylvain | Ederlé, Carole | Perrin, Peggy | Curtiaud, Anais | de Marcillac, Fanny | Schmitt, Elise | Weill, François | Nisand, Gabriel | Le Hyaric, Coralie | Zhu, Yves-Jean | Hugerot, Antonin | Zecchi, Adrien | Maitrepierre, Flavie | Risser, Clémence | Goetsch, Thibaut | Du Sablon, Noémie Leclerc | Ehret, Marion | Vinee, Frederic | Bernard, Myriam | Koch, Clémence | Waegell, Arnaud | Dormegny, Léa | Meyer, Nicolas | Fafi-Kremer, Samira | Lefebvre, Nicolas | Hansmann, Yves | Martinot, Martin | Danion, François

Edité par CCSD ; Oxford University Press -

International audience. Abstract We developed a score, with easily accessible data (age, sex, body mass index, dyspnea, inflammatory parameters), to predict the risk of rapid progression to severe coronavirus disease 2019. Using a cutoff of >6 points, the negative predictive value was 87%.

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