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The BAS2IC Score: A Useful Tool to Identify Patients at High Risk of Early Progression to Severe Coronavirus Disease 2019.
Kaeuffer, Charlotte; Ruch, Yvon; Fabacher, Thibaut; Hinschberger, Olivier; Mootien, Joy; Eyriey, Magali; Greigert, Valentin; Meyer, Nicolas; Fafi-Kremer, Samira; Lefebvre, Nicolas; Hansmann, Yves; Martinot, Martin; Danion, François.
  • Kaeuffer C; CHU de Strasbourg, Department of Infectious and Tropical Diseases, Strasbourg, France.
  • Ruch Y; Fédération de Médecine Translationnelle de Strasbourg, Université de Strasbourg, Strasbourg, France.
  • Fabacher T; CHU de Strasbourg, Department of Infectious and Tropical Diseases, Strasbourg, France.
  • Hinschberger O; Fédération de Médecine Translationnelle de Strasbourg, Université de Strasbourg, Strasbourg, France.
  • Mootien J; CHU de Strasbourg, Department of Public Health, Strasbourg, France.
  • Eyriey M; Université de Strasbourg, ICube, Équipe IMAGeS, UMR7357, Strasbourg, France.
  • Greigert V; Groupe Hospitalier Régional Mulhouse Sud Alsace, Department of Internal Medicine, Mulhouse, France.
  • Meyer N; Hôpitaux Civils de Colmar, Department of Infectious Diseases, Colmar, France.
  • Fafi-Kremer S; CHU de Strasbourg, Department of Internal Medicine, Nouvel Hopital Civil Strasbourg, Strasbourg, France.
  • Hansmann Y; CHU de Strasbourg, Department of Public Health, Strasbourg, France.
  • Martinot M; Université de Strasbourg, ICube, Équipe IMAGeS, UMR7357, Strasbourg, France.
  • Danion F; Fédération de Médecine Translationnelle de Strasbourg, Université de Strasbourg, Strasbourg, France.
Open Forum Infect Dis ; 7(10): ofaa405, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-1003713
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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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2020 Document Type: Article Affiliation country: Ofid

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Open Forum Infect Dis Year: 2020 Document Type: Article Affiliation country: Ofid