- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04413838
Efficiency and Security of NIVOLUMAB Therapy in Obese Individuals With COVID-19(COrona VIrus Disease) Infection (NIVISCO)
Study of the Efficiency and Security of NIVOLUMAB Therapy, Used in Immuno-stimulation, in Hospitalized Obese Individuals at Risk to Evolve Towards Severe Forms of COVID-19 Infection. Multicentric, Paralleled, Randomized, Controlled Trial
Although SARS-CoV-2 (Severe Acute Respiratory Syndrome-associated coronavirus) due to COVID-19 evolves poorly towards ARDS (Acute Respiratory Distress Syndrome) and death, there is to date no validated drug available for severe forms of COVID-19. Patients with COVID-19 undergo a drastic decrease of T lymphocytes (LT) count, while the remaining ones display an "exhausted" phenotype, due to immunosuppressive pathway activation among which the Programed cell Death 1 (PD1) receptor pathways. LT exhaustion is responsible for host anergy towards viral infection and leads to increased risk of severe forms of COVID-19. Moreover, while the number of systemic LT PD1+ correlates with poor prognosis clinical stages of COVID-19 infection, healing from COVID-19 associates with LT PD1 expression normalization. Chinese epidemiologic data identified clinical risk factors of poor clinical evolution (i.e. ARDS or death), among which is found obesity, similarly to observation previously obtained during H1N1 infection (flu virus).
Obese persons display meta-inflammation and immune dysfunction, a condition similar to ageing, thus termed "Inflamm-aging", thus also used during obesity. Inflamm-aging, characterized by cytotoxic LT exhaustion and reduced NK cell (Natural Killer cell) cytotoxic function secondary to PD1 pathway activation, could contribute to the poor prognosis observed during cancer and infection in obese individuals. We hypothesize that the immunocompromised profile observed during obesity contribute to their vulnerability towards COVID-19.
In cancer or certain infection diseases, NIVOLUMAB, an anti-PD1 monoclonal antibody, restores exhausted LT immunity. We thus hypothesize that NIVOLUMAB-induced immunity normalization could (i) stimulate anti-viral response also during COVID-19 infection and (ii) prevent ARDS development, which has previously been associated with low LT count concomitant with increased inflammatory cytokine production.
This randomized controlled therapeutic trial, using an add-on strategy to usual standard of care, aims at demonstrating the efficacy and safety of NIVOLUMAB-induced cytotoxic LT normalization, to improve clinical outcomes in hospitalized COVID-19+ adult obese individuals with low LT, since they are at risk of poor prognosis. We postulate that NIVOLUMAB will increase the number of individuals able to stop oxygen therapy at D15
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Anticipated)
Phase
- Phase 2
Contacts and Locations
Study Locations
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-
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Pierre-Bénite, France, 69495
- Hôpital Lyon Sud Service Endocrinologie, Diabète et Nutrition
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Patients between 18 and 70 years old
- COVID-19+ patients diagnosed upon biological testing (PCR Coronavirus SARS-CoV2)
- Hospitalized patients
- Obese individuals (BMI≥30kg/m²)
- Lymphocyte counts between 500 and 1500/mm3.
- Patients upon oxygen (either using mask or nasal cannula).
- Patients within their first 7 days after the beginning of symptoms.
- Women of childbearing potential: effective contraception for the duration of the study and 5 months after the administration of treatment.
- Patient who understands and accepts the need for a long term follow-up,
- Patients who agrees to be included in the study and who signs the informed consent form,
- Patients affiliated to a healthcare insurance plan.
Exclusion Criteria:
CRITERIA LINKED TO THE DISEASE SEVERITY :
- Patients hospitalized in ICU or constant care unit.
- Patients with clinical symptoms requiring ICU admission (respiratory rate>30/min, oxygen requirement> 4Liters/min (using high concentration mask) to reach and maintain O2saturation>90%, qSOFA≥ 2(quick score of Sepsis-related Organ Failure Assessment), or associated multi-visceral failure.
- Patients with high biological probability of macrophage activation syndrome (hemoglobin < 9.2 g/dl AND a blood platelets < 110000/mm3 AND AST > 30 U/l AND ferritin > 600 mg/l).
CRITERIA LINKED TO THE TREATMENT TOXICITY :
- Patients currently treated for cancer or with personal history of cancer within the last 3 years.
- Patients with Chronic Obstructive Pulmonary Disease (COPD) (GOLD 3 and 4 stages).
- Chronic respiratory insufficiency treated with oxygen.
- Patients aged above 70 years old.
- Active smoking.
- Personal history of thoracic radiotherapy.
- Patients with known sensibility to NIVOLUMAB or one of its component.
- Patients upon immunosuppressive dosage of corticoids.
- Patients upon immunosuppressive therapy or immunosuppressed patients.
- Patients already presenting severe autoimmune disease, for whom additional immunologic activation response would potentially precipitate lethal prognosis
GENERAL CRITERIA:
- Minor Patients
- Mentally unbalanced patients, under supervision or guardianship,
- Patient deprived of liberty,
- Patient who does not understand French/ is unable to give consent,
- Patient already included in a trial who may interfere with the study or in a period of exclusion following participation in a previous study.
- Pregnant (controlled by a pregnancy test) or lactating woman
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: NIVOLUMAB on top of routine standard of care
This correspond to COVID-19+ patients diagnosed upon biological testing (PCR Coronavirus SARS-CoV2), hospitalized, obese (BMI≥30kg/m²), with low lymphocyte counts, without high biological probability of macrophage activation syndrome (hemoglobin < 9.2 g/dl AND a blood platelets < 110000/mm3 AND aspartate aminotransferase (AST) > 30 U/l AND ferritin > 600 mg/l) and upon oxygen (either using mask or nasal cannula) but without criteria for ICU admission benefiting from a NIVOLUMAB treatment and routine standard of care for COVID-19 infection at the time of study inclusion
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IV injection within 30 minutes of 24ml file (=240 mg) containing NIVOLUMAB BMS(Bristol-Myers Squibb) 10mg/ml (immune check point inhibitor targeting PD-1) on top of routine standard of care for COVID-19 infection
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|
Other: Standard of care for COVID-19 infection
This correspond to COVID-19+ patients diagnosed upon biological testing (PCR Coronavirus SARS-CoV2), hospitalized, obese (BMI≥30kg/m²), with low lymphocyte counts, without high biological probability of macrophage activation syndrome (hemoglobin < 9.2 g/dl AND a blood platelets < 110000/mm3 AND AST > 30 U/l AND ferritin > 600 mg/l) and upon oxygen (either using mask or nasal cannula) but without criteria for ICU admission benefiting from a routine standard of care for COVID-19 infection at the time of study inclusion
|
No intervention is planned in this arm.
Patients will follow routine standard of care for the COVID-19 treatment
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Patient's clinical state
Time Frame: 15 days after randomization
|
Patient's clinical state will be evaluated by the proportion of patients able to be weaned of oxygen at D15 after randomization (randomization date is the day where the experimental treatment (i.e.
NIVOLUMAB) is administered).
|
15 days after randomization
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Readmission
Time Frame: 7 days and 15 days after randomization
|
Proportion of in-coming patients in ICU at D7 and D15 post-randomization
|
7 days and 15 days after randomization
|
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Mortality
Time Frame: 7 days and 15 days after randomization
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Proportion of death at D7 and D15 post-randomization
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7 days and 15 days after randomization
|
|
Oxygen flow needs
Time Frame: 7 days after randomization
|
Proportion of patients weaned out of oxygen at D7 post-randomization
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7 days after randomization
|
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Requirement of oxygen
Time Frame: 7 days and 15 days after randomization
|
Mean oxygen flow needed
|
7 days and 15 days after randomization
|
|
Discharge from hospital
Time Frame: 7 days and 15 days after randomization
|
Proportion of out-coming patients from hospitalization at D7 and D15 post-randomization
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7 days and 15 days after randomization
|
|
Adverse events
Time Frame: Within 15 days post-randomization and 90 days and 6 months after randomization
|
Report of all adverse events linked or not to experimental treatment during the study
|
Within 15 days post-randomization and 90 days and 6 months after randomization
|
|
Presence of nasopharyngeal SARS-CoV-2
Time Frame: On day 0 before randomization and 15 days after randomization
|
Presence or not of nasopharyngeal SARS-CoV-2 determined by PCR response
|
On day 0 before randomization and 15 days after randomization
|
|
nasopharyngeal SARS-CoV-2 viral charge
Time Frame: On day 0 before randomization and 15 days after randomization
|
Presence or not of nasopharyngeal SARS-CoV-2 Quantified by PCR
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On day 0 before randomization and 15 days after randomization
|
|
Number of total Lymphocytes T
Time Frame: On day 0 before randomization and 15 days after randomization
|
Number of total LT (using immuno-phenotyping) will explore the immune response
|
On day 0 before randomization and 15 days after randomization
|
|
Number of CD3+ Lymphocytes T(lymphocyte subpopulation of CD3+ T cells)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Number of CD3+ LT (using immuno-phenotyping) will explore the immune response
|
On day 0 before randomization and 15 days after randomization
|
|
Number of CD4+ Lymphocytes T(lymphocyte subpopulation of CD4+ T cells)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Number of total CD4+ LT (using immuno-phenotyping) will explore the immune response
|
On day 0 before randomization and 15 days after randomization
|
|
Number of CD8+ Lymphocytes T(lymphocyte subpopulation of CD8+ T cells)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Evaluation of number of CD8+ LT (using immuno-phenotyping) will explore the immune response
|
On day 0 before randomization and 15 days after randomization
|
|
Interleukin 6 (IL-6)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Systemic concentration measurement of IL-6 will explore the inflammatory response
|
On day 0 before randomization and 15 days after randomization
|
|
Interleukin 10 (IL-10)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Systemic concentration measurement of IL-10 will explore the inflammatory response
|
On day 0 before randomization and 15 days after randomization
|
|
Tumor Necrosis Factor alpha (TNFα )
Time Frame: On day 0 before randomization and 15 days after randomization
|
Systemic concentration measurement of TNFα will explore the inflammatory response
|
On day 0 before randomization and 15 days after randomization
|
|
Interferon gamma (IFNγ)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Systemic concentration measurement of IFNγ will explore the inflammatory response
|
On day 0 before randomization and 15 days after randomization
|
|
Type I Interferon (type I IFN)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Systemic concentration measurement of type I IFN will explore the inflammatory response
|
On day 0 before randomization and 15 days after randomization
|
|
Tim3 expression
Time Frame: On day 0 before randomization and 15 days after randomization
|
Evaluation of Tim3 expression on CD4+ and CD8+ lymphocytes will explore the fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
PD1 expression
Time Frame: On day 0 before randomization and 15 days after randomization
|
Evaluation of PD1 expression on CD4+ and CD8+ lymphocytes will explore the fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
PD-L1 expression
Time Frame: On day 0 before randomization and 15 days after randomization
|
Measurement of PD-L1 expression on monocytes will explore explore the fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
Human Leukocyte Antigen - DR isotype gene expression (HLA-DR expression)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Measurement of HLA-DR expression on monocytes will explore explore the fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
Production of IFNγ by lymphocytes T
Time Frame: On day 0 before randomization and 15 days after randomization
|
The cytotoxic LT production of IFNγ will explore the fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
Production of granzyme B by lymphocytesT
Time Frame: On day 0 before randomization and 15 days after randomization
|
The cytotoxic LT production of granzyme B will explore the fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
Lipopolysaccharides (LPS)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Measurement of LPS will explore the endotoxemia and perform fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
LBP(LPS-Binding Protein)
Time Frame: On day 0 before randomization and 15 days after randomization
|
Measurement of LBP (endotoxin transporter) will explore the endotoxemia and perform fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
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sCD14
Time Frame: On day 0 before randomization and 15 days after randomization
|
Measurement of sCD14 (endotoxin transporter) will explore the endotoxemia and perform fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
High Density Lipoproteins
Time Frame: On day 0 before randomization and 15 days after randomization
|
Measurement of High Density Lipoproteins proteomic will explore the lipoprotein metabolism and perform fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
|
Apolipoprotein
Time Frame: On day 0 before randomization and 15 days after randomization
|
Measurement of apolipoprotein proteomic will explore the lipoprotein metabolism and perform fundamental research on obesity and COVID-19
|
On day 0 before randomization and 15 days after randomization
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
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
- Pathologic Processes
- Coronavirus Infections
- Coronaviridae Infections
- Nidovirales Infections
- RNA Virus Infections
- Virus Diseases
- Respiratory Tract Infections
- Respiratory Tract Diseases
- Pneumonia, Viral
- Pneumonia
- Lung Diseases
- Disease Attributes
- COVID-19
- Infections
- Communicable Diseases
- Molecular Mechanisms of Pharmacological Action
- Antineoplastic Agents
- Antineoplastic Agents, Immunological
- Immune Checkpoint Inhibitors
- Nivolumab
Other Study ID Numbers
- 69HCL20_0478
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
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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