A nomogram to early predict isolation length for non-severe COVID-19 patients based on laboratory investigation: A multicenter retrospective study in Zhejiang Province, China

BACKGROUND: Majority coronavirus disease 2019 (COVID-19) patients are classified as mild and moderate (non-severe) diseases. We aim to develop a model to predict isolation length for non-severe patients. METHODS: Among 188 non-severe patients, 96 patients were enrolled as training cohort to identify...

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Detalles Bibliográficos
Autores principales: Xia, Yan, Zhang, Yan, Yuan, Shijin, Chen, Jiangnan, Zheng, Wei, Xu, Xiaoping, Xie, Xinyou, Zhang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836550/
https://www.ncbi.nlm.nih.gov/pubmed/33279501
http://dx.doi.org/10.1016/j.cca.2020.11.019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836550/
https://www.ncbi.nlm.nih.gov/pubmed/33279501
http://dx.doi.org/10.1016/j.cca.2020.11.019

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