- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04584541
SarS-Cov-2 Viral Infection (COVID-19) in Patients With Chronic Inflammatory Rheumatism (COVIRIC)
Study of the Viral Load and Humoral and Cellular B and T Responses in Patients With Rheumatoid Arthritis and Spondyloarthritis Under Immunosuppressive Treatments
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Rheumatoid arthritis (RA) and spondyloarthritis (SPA) are the two most common chronic inflammatory rheumatic diseases, with a prevalence of 0.5-1% for RA and about 0.35% for SPA. Many studies have described an increased risk of serious infectious diseases directly associated with increased morbidity and mortality among those patients. This increased risk (frequency and severity) results from the disease itself, especially if the rheumatism is not controlled with high disease activity, but also due to the immunosuppressive treatments used to treat these patients. The risk of infection is measured by the Incidence Rate (IR) corresponding to the number of events (infections) per 100 patients/years of follow-up. This risk is accepted as comparable between patients with SpA or RA and ranges from 22 to 34/100 patient-years, depending on the studies, for patients on biologics. The risk of infection is higher for patients on biotherapy than for patients on Disease Modifying Anti-Rheumatic Drugs (DMARDs - mainly Methotrexate) and the combination of corticosteroid therapy with the biotherapies further increases this risk of infection. Lung and upper respiratory tract infections are the most common infections observed under biotherapy. The risk of infection may be different depending on the biotherapy considered. Moreover, the vaccine response is also highly variable depending on the biotherapy, treatments with Rituximab, methotrexate and abatacept being those interfering the most with the quality of the vaccine response. The working hypothesis is therefore that certain immunosuppressive treatments used in these inflammatory rheumatic conditions may interfere with the humoral and/or cellular anti-SarS-Cov-2 immune response.
Since December 2019, the first SARS-Cov-2 (Severe acute respiratory coronavirus 2 syndrome) infections have been described in Wuhan province in China. In April 2020, 1,824,950 people were officially infected in 193 countries worldwide with 112,510 deaths reported (Agence France Presse and World Health Organization; 13 April 2020). To date, the investigators have a limited amount of data concerning the seroconversion of infected subjects, the protective or non-protective nature of the specific antibodies generated, and the duration of protection. No data have been generated on the specific B and T responses of SarS-Cov-2. In addition, the few available data in the literature on SarS-Cov-2 only concern the general population, not exposed to immunosuppressive treatments.
However, major questions are currently unanswered for patients on immunosuppressive treatments: Are they excreting the virus for longer periods of time? How long can this viral excretion be measured in the upper airways and in the stool? Do they develop a humoral and cellular immune response similar to the general population? Accurate knowledge of the dynamics of the virus and the immune response induced will be essential for the development of strategies for antiviral treatment, vaccination protocols and for the epidemiological control of Covid-19.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Paris, France, 75014
- Cochin Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
cases
- Patient with spondyloarthritis fulfilling the ASAS criteria
- Patients with rheumatoid arthritis fulfilling the ACR/EULAR criteria and
- Immunosuppressive therapy: Methotrexate, leflunomide, anti-TNF, Anti-IL6R, abatacept, rituximab, Jak inhibitors (tofacitinib or baricitinib) And
- infected with the SarS-Cov-2 (positive PCR and/or serology and/or CT-scan)
Controls:
- Family cluster member confined to the same location as the index subject
- Infected with the SarS-Cov-2 (positive PCR and/or serology and/or CT-scan)
Exclusion Criteria:
cases and controls
- Pregnant woman
- Breastfeeding woman
- Immunosuppressed subject for members of the familiar cluster of the index subject
- Patient with no social security
- Patients whose freedom is limited by the judicial or administrative authority
- Patients under legal protection
Study Plan
How is the study designed?
Design Details
- Primary Purpose: BASIC_SCIENCE
- Allocation: NON_RANDOMIZED
- Interventional Model: PARALLEL
- Masking: NONE
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
OTHER: case
Index cases (RA and SpA patients under immunosuppressive treatments)
|
Memory T and B cell response assessment Humoral response assessment (Specific anti-Sars-Cov-2 antibodies characterization)
Other Names:
SarS-Cov-2 viral load assessment
SarS-Cov-2 viral load assessment
|
OTHER: controls
Members of index cases family cluster infected with the same viral strain
|
Memory T and B cell response assessment Humoral response assessment (Specific anti-Sars-Cov-2 antibodies characterization)
Other Names:
SarS-Cov-2 viral load assessment
SarS-Cov-2 viral load assessment
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Detection of SarS-Cov-2 RNA in feces and nasopharyngeal swabs
Time Frame: up to Day 30
|
Nasopharyngeal swabs : Detection of SarS-Cov-2 RNA
|
up to Day 30
|
Detection of SarS-Cov-2 RNA in feces and nasopharyngeal swabs
Time Frame: between Day 30 and Day 90
|
Nasopharyngeal swabs : Detection of SarS-Cov-2 RNA
|
between Day 30 and Day 90
|
Detection and quantification of IgG, IgM and IgA specific for SarS-Cov-2 N and S proteins in blood
Time Frame: up to Day 30
|
up to Day 30
|
|
Detection and quantification of IgG, IgM and IgA specific for SarS-Cov-2 N and S proteins in blood
Time Frame: between Day 30 and Day 90
|
between Day 30 and Day 90
|
|
Detection and quantification of IgG, IgM and IgA specific for SarS-Cov-2 N and S proteins in blood
Time Frame: 6 Months
|
6 Months
|
|
Detection and quantification of IgG, IgM and IgA specific for SarS-Cov-2 N and S proteins in blood
Time Frame: 12 Months
|
12 Months
|
|
Detection and quantification of IgG, IgM and IgA specific for SarS-Cov-2 N and S proteins in blood
Time Frame: 24 Months
|
24 Months
|
|
Isolation and characterization of B and T lymphocytes in blood
Time Frame: up to Day 30
|
up to Day 30
|
|
Isolation and characterization of B and T lymphocytes in blood
Time Frame: between Day 30 and Day 90
|
between Day 30 and Day 90
|
|
Isolation and characterization of B and T lymphocytes in blood
Time Frame: 6 Months
|
6 Months
|
|
Isolation and characterization of B and T lymphocytes in blood
Time Frame: 12 Months
|
12 Months
|
|
Isolation and characterization of B and T lymphocytes in blood
Time Frame: 24 Months
|
24 Months
|
Collaborators and Investigators
Investigators
- Principal Investigator: Corinne Miceli-Richard, MD, PhD, Assistance Publique - Hôpitaux de Paris
Study record dates
Study Major Dates
Study Start (ACTUAL)
Primary Completion (ACTUAL)
Study Completion (ACTUAL)
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
Additional Relevant MeSH Terms
- Coronavirus Infections
- Coronaviridae Infections
- Nidovirales Infections
- RNA Virus Infections
- Virus Diseases
- Infections
- Respiratory Tract Infections
- Respiratory Tract Diseases
- Immune System Diseases
- Autoimmune Diseases
- Pneumonia, Viral
- Pneumonia
- Lung Diseases
- Joint Diseases
- Musculoskeletal Diseases
- Rheumatic Diseases
- Connective Tissue Diseases
- Spinal Diseases
- Bone Diseases
- Bone Diseases, Infectious
- COVID-19
- Arthritis
- Arthritis, Rheumatoid
- Spondylitis
- Spondylarthritis
Other Study ID Numbers
- APHP200598
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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