The LUSZ COVID-19 Severity Index: A Prognostic and Predictive Score of Mortality for Hospitalized Patients With Covid-19
NCT05848427 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000
Last updated 2024-04-05
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.
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.
Sponsors & Collaborators
-
Hospital Saydet Zgharta University Medical Center
collaborator UNKNOWN -
Lebanese University
lead OTHER
Principal Investigators
-
Nehman Makdissy, Professor · Lebanese University
Eligibility
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-03-28
- Primary Completion
- 2025-12-30
- Completion
- 2025-12-30
- FDA Drug
- Yes
Countries
- Lebanon
Study Locations
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