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

Charlotte Kaeuffer | Zendy; Yvon Ruch | Zendy; Thibaut Fabacher | Zendy; O. Hinschberger | Zendy; Joy Mootien | Zendy; Magali Eyriey | Zendy; Valentin Greigert | Zendy; Simon Gravier | Zendy; André Jocelyn | Zendy; Benjamin Dervieux | Zendy; Valentin Pointurier | Zendy; Raphaël Clère-Jehl | Zendy; Olivier Collange | Zendy; PierreOlivier Ludes | Zendy; MarieLine Harlay | Zendy; Pascal Bilbaut | Zendy; Jean Édouard Terrade | Zendy; Renaud Felten | Zendy; Emmanuel Andrès | Zendy; Yannick Dieudonné | Zendy; S. Lescuyer | Zendy; Carole Ederlé | Zendy; Peggy Perrin | Zendy; Anaïs Curtiaud | Zendy; Fanny De Marcillac | Zendy; E. Schmitt | Zendy; François Weill | Zendy; G. Nisand | Zendy; Coralie Le Hyaric | Zendy; Yves-Jean Zhu | Zendy; Antonin Hugerot | Zendy; A. Zecchi | Zendy; Flavie Maitrepierre | Zendy; Clémence Risser | Zendy; Thibaut Goetsch | Zendy; Noémie Leclerc Du Sablon | Zendy; Marion Ehret | Zendy; Frederic Vinee | Zendy; Myriam Bernard | Zendy; Clémence Koch | Zendy; Arnaud Waegell | Zendy; Léa Dormegny | Zendy; Nicolás Meyer | Zendy; Samira FafiKremer | Zendy; Nicolas Lefèbvre | Zendy; Yves Hansmann | Zendy; M. Martinot | Zendy; François Danion | Zendy

Open Access

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

Author(s) -

Charlotte Kaeuffer,

Yvon Ruch,

Thibaut Fabacher,

O. Hinschberger,

Joy Mootien,

Magali Eyriey,

Valentin Greigert,

Simon Gravier,

André Jocelyn,

Benjamin Dervieux,

Valentin Pointurier,

Raphaël Clère-Jehl,

Olivier Collange,

PierreOlivier Ludes,

MarieLine Harlay,

Pascal Bilbaut,

Jean Édouard Terrade,

Renaud Felten,

Emmanuel Andrès,

Yannick Dieudonné,

S. Lescuyer,

Carole Ederlé,

Peggy Perrin,

Anaïs Curtiaud,

Fanny De Marcillac,

E. Schmitt,

François Weill,

G. Nisand,

Coralie Le Hyaric,

Yves-Jean Zhu,

Antonin Hugerot,

A. Zecchi,

Flavie Maitrepierre,

Clémence Risser,

Thibaut Goetsch,

Noémie Leclerc Du Sablon,

Marion Ehret,

Frederic Vinee,

Myriam Bernard,

Clémence Koch,

Arnaud Waegell,

Léa Dormegny,

Nicolás Meyer,

Samira FafiKremer,

Nicolas Lefèbvre,

Yves Hansmann,

M. Martinot,

François Danion

Publication year - 2020

Publication title -

open forum infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.546

H-Index - 35

ISSN - 2328-8957

DOI - 10.1093/ofid/ofaa405

Subject(s) - medicine , coronavirus , covid-19 , cutoff , body mass index , disease , predictive value , framingham risk score , virology , infectious disease (medical specialty) , outbreak , physics , quantum mechanics

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%.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research