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The LUSZ COVID-19 Severity Index: A Prognostic and Predictive Score of Mortality for Hospitalized Patients With Covid-19

Lebanese University · 2020
ClinicalTrials.gov · Datasets · License: Public Domain · 2020
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antiviralcomorbiditiescovid-19inflammationsars-cov-2treatment
The coronavirus disease 2019 (COVID-19) has spread rapidly and caused a global pandemic, as defined by the WHO, within a short period of time. The prognostic of disease severity is still a challenge and early identification of risk factors to be involved in its progression is of high importance. The scoring of variables related to worse outcomes is key for a targeted and/or advanced protocol. Besides, the need for a predictive-wide model is mandatory for hospitalized unvaccinated patients to avoid any delay in the characterization of severe illness and the development of complications. The LUSZ COVID-19 Severity Index was developed as a predictive tool based on \>100 risk factors/biomarkers, that could effectively identify high-risk patients and prevent mortality.
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