A simple algorithm helps early identification of SARS-CoV-2 infection patients with severe progression tendency

OBJECTIVES: We aimed to develop a simple algorithm to help early identification of SARS-CoV-2 infection patients with severe progression tendency. METHODS: The univariable and multivariable analysis were computed to identify the independent predictors of COVID-19 progression. The prediction model wa...

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Detalles Bibliográficos
Autores principales: Li, Qiang, Zhang, Jianliang, Ling, Yun, Li, Weixia, Zhang, Xiaoyu, Lu, Hongzhou, Chen, Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240242/
https://www.ncbi.nlm.nih.gov/pubmed/32440918
http://dx.doi.org/10.1007/s15010-020-01446-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7240242/
https://www.ncbi.nlm.nih.gov/pubmed/32440918
http://dx.doi.org/10.1007/s15010-020-01446-z

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