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RECRUITING
NCT05848427

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

Sponsor: Lebanese University

View on ClinicalTrials.gov

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

OTHER

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