Development and validation of risk prediction models for COVID-19 positivity in a hospital setting

OBJECTIVES: To develop: (1) two validated risk prediction models for coronavirus disease-2019 (COVID-19) positivity using readily available parameters in a general hospital setting; (2) nomograms and probabilities to allow clinical utilisation. METHODS: Patients with and without COVID-19 were includ...

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Detalles Bibliográficos
Autores principales: Ng, Ming-Yen, Wan, Eric Yuk Fai, Wong, Ho Yuen Frank, Leung, Siu Ting, Lee, Jonan Chun Yin, Chin, Thomas Wing-Yan, Lo, Christine Shing Yen, Lui, Macy Mei-Sze, Chan, Edward Hung Tat, Fong, Ambrose Ho-Tung, Fung, Sau Yung, Ching, On Hang, Chiu, Keith Wan-Hang, Chung, Tom Wai Hin, Vardhanbhuti, Varut, Lam, Hiu Yin Sonia, To, Kelvin Kai Wang, Chiu, Jeffrey Long Fung, Lam, Tina Poy Wing, Khong, Pek Lan, Liu, Raymond Wai To, Chan, Johnny Wai Man, Wu, Alan Ka Lun, Lung, Kwok-Cheung, Hung, Ivan Fan Ngai, Lau, Chak Sing, Kuo, Michael D., Ip, Mary Sau-Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491462/
https://www.ncbi.nlm.nih.gov/pubmed/32947055
http://dx.doi.org/10.1016/j.ijid.2020.09.022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7491462/
https://www.ncbi.nlm.nih.gov/pubmed/32947055
http://dx.doi.org/10.1016/j.ijid.2020.09.022

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