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Comment
. 2022 Sep;17(6):1571-1574.
doi: 10.1007/s11739-022-03017-6. Epub 2022 Jun 15.

Predicting mortality in hospitalized COVID-19 patients

Amedeo Tirandi  1 , Davide Ramoni  1 , Fabrizio Montecucco  1   2 , Luca Liberale  3   4
Affiliations
Comment

Predicting mortality in hospitalized COVID-19 patients

Amedeo Tirandi et al. Intern Emerg Med. 2022 Sep.
No abstract available

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Conflict of interest statement

Nothing to declare.

Figures

Fig. 1
Fig. 1
M-R2CHA2DS2-VASc predicts mortality in COVID-19 patients. Summary of the main results by Levy et al.
See this image and copyright information in PMC

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References

    1. Perpinan C, Bertran L, Terra X, Aguilar C, Lopez-Dupla M, Alibalic A, et al. Predictive biomarkers of COVID-19 severity in SARS-CoV-2 infected patients with obesity and metabolic syndrome. J Pers Med. 2021 doi: 10.3390/jpm11030227. - DOI - PMC - PubMed
    1. Kivrak M, Guldogan E, Colak C. Prediction of death status on the course of treatment in SARS-COV-2 patients with deep learning and machine learning methods. Comput Methods Programs Biomed. 2021;201:105951. doi: 10.1016/j.cmpb.2021.105951. - DOI - PMC - PubMed
    1. Ceci FM, Fiore M, Gavaruzzi F, Angeloni A, Lucarelli M, Scagnolari C, et al. Early routine biomarkers of SARS-CoV-2 morbidity and mortality: outcomes from an emergency section. Diagn (Basel). 2022 doi: 10.3390/diagnostics12010176. - DOI - PMC - PubMed
    1. Shang Y, Liu T, Wei Y, Li J, Shao L, Liu M, et al. Scoring systems for predicting mortality for severe patients with COVID-19. EClinicalMedicine. 2020;24:100426. doi: 10.1016/j.eclinm.2020.100426. - DOI - PMC - PubMed
    1. Aminasnafi A, Heidari S, Alisamir M, Mirkarimi M, Namehgoshayfard N, Pezeshki SMS. Hematologic evaluation of children with COVID-19 infection: mortality biomarkers. Clin Lab. 2022 doi: 10.7754/Clin.Lab.2021.210746. - DOI - PubMed