- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05848427
The LUSZ COVID-19 Severity Index: A Prognostic and Predictive Score of Mortality for Hospitalized Patients With Covid-19 (LUSZ_SCORE)
The LUSZ COVID-19 Severity Index: A Prognostic and Predictive Score of Mortality for Hospitalized Patients With Covid-19.
Study Overview
Detailed Description
The scientific community is in urgent need of reliable biomarkers related to COVID-19 disease progression, in order to stratify high-risk patients. The rapid disease spread necessitates the immediate categorization of patients into risk groups following diagnosis, to ensure optimal resource allocation. Novel biomarkers are needed to identify patients who will suffer rapid disease progression to severe complications and death. The identification of novel biomarkers is strictly related to the understanding of viral pathogenetic mechanisms, as well as cellular and organ damage. Effective biomarkers would be helpful for screening, clinical management, and prevention of serious complications.
Indeed, previous studies suggested and developed predictive scores (CALL, Chosen, HA2T2, ANDC, ABC2-SPH, ICOP, SEIMC, IRS, NLP, APACHE II, GRAM, and others) that estimate the severity of the disease, the risk of needing invasive mechanical ventilation (IMV) among patients with COVID-19 and the risk of mortality. Many scores including so many relevant parameters have been used to predict the status of a patient. In addition to comorbidities, age, etc., some hematological parameters, including white blood cell (WBC), lymphopenia, c-Reactive Protein (CRP), and some biochemical parameters, such as lactate dehydrogenase (LDH), creatine kinase (CK), and troponin were reported to be associated with COVID-19 severity. In fact, the patient's initial laboratory scoring is useful but not sufficient to avoid mortality: high neutrophil count (>0.7 × 103/μL), lymphopenia (<0.8 × 103/μL), elevated CRP (>4.75 mg/dL), and elevated LDH (>593 U/L) were the most important predictors of mortality. Another prognostic marker the lymphocyte-to-CRP ratio (LCR), was also helpful. A rise in the NLR and a decline in LCR correlates with the severity of COVID-19. Specifically, a low LCR at presentation was seen to predict ICU admission and the need for invasive ventilation. Patients critically ill with COVID-19 had a hyperinflammation, the associated biomarkers may be beneficial for risk stratification. Many studies found other associations with serum CRP, procalcitonin (PCT), D-dimer, and serum ferritin. Subsequent studies demonstrate that the inflammatory response plays a critical role in COVID-19, and inflammatory cytokine storm increases the severity of COVID-19. In fact, the serum levels of IL-6 can effectively assess disease severity and predict outcomes in patients with COVID-19. So, these prognostic models have been introduced to guide treatment and resource management.
In this study, we aimed to specify high-risk factors and biomarkers of fatal outcomes in hospitalized subjects with coronavirus depending on many variables analysis, and also to compare the efficacy of targeted treatments (antiviral, antiretroviral, immunosuppressive antagonist, etc.) in order to help clinicians better choose a therapeutic strategy.
The population had been divided into groups according to the WHO Ordinal Clinical Severity Scale on which the LUSZ SCORE was applied; The percentage of mortality, in and out of the hospital, the length of stay in the hospital, the pulmonary inflammatory lesions and their distribution, the SARS-CoV-2 IgM and IgG variations at admission, the inflammatory markers, the complete blood count, the coagulation factors and enzymes, proteins and electrolytes profile, glucose and lipid profile, and others were measured before and after LUSZ scoring. The establishment of this novel predictive scoring model of disease progression may help identify patients with COVID-19 who may subsequently develop a critical illness. Thus, we can improve the therapeutic effect and reduce the mortality of COVID-19 with more accurate and efficient use of medical resources, which helps to deliver proper treatment according to each case.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Nehman Makdissy, Professor
- Phone Number: +96171210250
- Email: nehman.makdissy@ul.edu.lb
Study Locations
-
-
North
-
Tripoli, North, Lebanon, 961
- Recruiting
- Lebanese University
-
Contact:
- Nehman Makdissy, Professor
- Phone Number: +96171210250
- Email: nehman.makdissy@ul.edu.lb
-
Sub-Investigator:
- Samar El Hamoui, PhD
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Sub-Investigator:
- Nadine El Ghotme, PhD
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Sub-Investigator:
- Wissame Daher, MSc DMAH
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Sub-Investigator:
- Bassam BouDeleh, MSc DMAH
-
Sub-Investigator:
- Assaad Assaad, MSc DMAH
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Sub-Investigator:
- Fatmeh Matar, MSc CompSci
-
Sub-Investigator:
- Rania Baida, PhD
-
Sub-Investigator:
- Sara Chaar, Msc DMAH
-
Zgharta, North, Lebanon
- Recruiting
- SZUMC
-
Contact:
- Fadi Fenianos, MD
- Phone Number: +9613191528
- Email: hop.sz@hotmail.com
-
Contact:
- Mareine Douiehy, MSc
- Phone Number: +9613777484
- Email: hop.sz@hotmail.com
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Principal Investigator:
- Fadi Fenianos, MD, ID
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Sub-Investigator:
- Mareine Douiehy, MSc Head QC
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria: (1) admission to hospital, (2) fulfills WHO case definition, including a positive PCR for COVID-19 from any specimen (e.g., nasopharyngeal, throat, saliva, urine, stool, other bodily fluid), (3) not received any therapy (radiotherapy, chemotherapy, corticotherapy, hormonotherapy, immunotherapy, anti-inflammatory, antibiotics, antiparasitic, antiviral, antibacterial, convalescent plasma, monoclonal antibodies, or other treatments such as hydroxychloroquine and azithromycin) before admission and samples' collection, and (4) Spo2 < 90%.
Exclusion Criteria: (1) Non-SARS-CoV-2, (2) active indication and use for one of the investigational products (e.g., HIV positive if antiretroviral agents were used), (3) allergy or hypersensitivity to one of the investigational products (Lopinavir/Ritonavir, Remdesivir, Tocilizumab) or other contraindication, (4) progression to death is imminent and inevitable within the next 24 hours, irrespective of the provision of treatments, (5) received any therapy (radiotherapy, chemotherapy, hormonotherapy, immunotherapy, anti-inflammatory, antibiotics, antiparasitic, antiviral, antibacterial, convalescent plasma, monoclonal antibodies, or other treatments such as hydroxychloroquine and azithromycin) before admission and samples' collection, (6) weight loss during the last 2 years, (7) abdominal surgeries, (8) pregnancy, and (9) SpO2 superior or equal to 90%, and (10) vaccinated individuals were excluded.
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Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
LUSZ WOSS-3
hospitalized COVID-19 patients classified as WOSS-3 (as per the WHO Ordinal Severity Scale) who didn't need oxygen therapy
|
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.
|
|
LUSZ WOSS-4
hospitalized COVID-19 patients classified as WOSS-4 (as per the WHO Ordinal Severity Scale) who needed oxygen therapy by mask or traditional nasal cannula
|
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.
|
|
LUSZ WOSS-5
hospitalized COVID-19 patients classified as WOSS-5 (as per the WHO Ordinal Severity Scale) who needed oxygen therapy NIMV or HFNC
|
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.
|
|
LUSZ WOSS-6
hospitalized COVID-19 patients classified as WOSS-6 (as per the WHO Ordinal Severity Scale) who needed oxygen therapy IMV & intubation
|
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.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Survival / Mortality
Time Frame: 1 day to 3 years
|
Occurence of survival or death
|
1 day to 3 years
|
|
LOS
Time Frame: up to 3 months
|
Time to recovery in-hospital (the length of stay (LOS))
|
up to 3 months
|
|
IMV
Time Frame: during the first 3 days of hospitalization
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incidence of mechanical ventilation and incidence of serious adverse effects
|
during the first 3 days of hospitalization
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Clinical Status
Time Frame: up to 3 years
|
Clinical status at days 8-10 by radiology and laboratory assessments
|
up to 3 years
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Nehman Makdissy, Professor, Lebanese University
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- The COVID-19 LUSZ SCORE
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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