COVID-19 Outpatient Screening: a Prediction Score for Adverse Events

BACKGROUND. We sought to develop an automatable score to predict hospitalization, critical illness, or death in patients at risk for COVID-19 presenting for urgent care during the Massachusetts outbreak. METHODS. Single-center study of adult outpatients seen in respiratory illness clinics (RICs) or...

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Detalles Bibliográficos
Autores principales: Sun, Haoqi, Jain, Aayushee, Leone, Michael J., Alabsi, Haitham S., Brenner, Laura, Ye, Elissa, Ge, Wendong, Shao, Yu-Ping, Boutros, Christine, Wang, Ruopeng, Tesh, Ryan, Magdamo, Colin, Collens, Sarah I., Ganglberger, Wolfgang, Bassett, Ingrid V., Meigs, James B., Kalpathy-Cramer, Jayashree, Li, Matthew D., Chu, Jacqueline, Dougan, Michael L., Stratton, Lawrence, Rosand, Jonathan, Fischl, Bruce, Das, Sudeshna, Mukerji, Shibani, Robbins, Gregory K., Westover, M. Brandon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325189/
https://www.ncbi.nlm.nih.gov/pubmed/32607523
http://dx.doi.org/10.1101/2020.06.17.20134262

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325189/
https://www.ncbi.nlm.nih.gov/pubmed/32607523
http://dx.doi.org/10.1101/2020.06.17.20134262

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