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The LUSZ COVID-19 Severity Index: A Prognostic and Predictive Score of Mortality for Hospitalized Patients With Covid-19
Sponsor: Lebanese University
Summary
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.
Official title: The LUSZ COVID-19 Severity Index: A Prognostic and Predictive Score of Mortality for Hospitalized Patients With Covid-19.
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
1000
Start Date
2020-03-28
Completion Date
2025-12-30
Last Updated
2024-04-05
Healthy Volunteers
Not specified
Conditions
Interventions
LUSZ P
LUSZ protocol applied to WOSS in-hospitalized Covid-19 patients: a Corticosteroid Therapy-enhanced Standard Care (CTSC), a standard care enhanced by corticosteroid (methylprednisolone) treatment.
Locations (2)
Lebanese University
Tripoli, Mohafazat Liban-Nord, Lebanon
SZUMC
Zghartā, Mohafazat Liban-Nord, Lebanon