Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
- PMID: 35151868
- PMCID: PMC8830146
- DOI: 10.1016/j.cmi.2022.02.007
Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables: author's response
Comment on
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Re: Predicting critical illness on initial diagnosis of COVID-19 based on easily-obtained clinical variables.Clin Microbiol Infect. 2022 Aug;28(8):1161-1162. doi: 10.1016/j.cmi.2022.01.015. Epub 2022 May 16. Clin Microbiol Infect. 2022. PMID: 35589056 Free PMC article. No abstract available.
References
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- Martínez-Lacalzada M., Viteri-Noël A., Manzano L., Fabregate M., Rubio-Rivas M., Luis García S., et al. Predicting critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model. Clin Microbiol Infect. 2021;27:1838–1844. - PMC - PubMed
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- Royston P., Ambler G., Sauerbrei W. The use of fractional polynomials to model continuous risk variables in epidemiology. Int J Epidemiol. 1999;28:964–974. - PubMed
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