Covid19 Clinical Trial
Official title:
Prevention of COVID-19 Complications in High-risk Subjects Infected by SARS-CoV-2 and Eligible for Treatment Under a Cohort ATU ('Autorisation Temporaire d'Utilisation') or or Authorisation for Early Access (AAP). A Prospective Cohort.
This is a prospective, multicentric, non comparative study aiming to evaluate the clinical and virological evolution of high-risk patients infected with SARS-CoV-2 treated withtin the framework of a cohort ATU ('Autorisation temporaire d'utilisation') or authorisation for early access (AAP) delivered by the French drug agency (ANSM).
Status | Recruiting |
Enrollment | 2000 |
Est. completion date | June 2023 |
Est. primary completion date | June 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Adults with the criteria for COVID-19 treatment within the French compassionate program (ATU/AAP) - Adults covered by the French social health coverage - Adults who signed the informed consent form Exclusion Criteria: - Exclusion criteria described in the French compassionate program (ATU/AAP) - Patient participating in another biomedical research with an exclusion period ongoing at inclusion - Vulnerable patient (adults legally protected: under judicial protection, guardianship, or supervision, persons deprived of their liberty) - Pregnant or breastfeeding woman |
Country | Name | City | State |
---|---|---|---|
France | CH Agen-Nerac | Agen | |
France | CHU d'Angers | Angers | |
France | CHR Metz-Thionville | Ars-Laquenexy | |
France | Hôpital Avicenne | Bobigny | |
France | CHU de Bordeaux | Bordeaux | |
France | CHU Gabriel Montpied | Clermont-Ferrand | |
France | Centre Hospitalier Sud Francilien - Hématologie | Corbeil-Essonnes | |
France | Centre Hospitalier Sud Francilien - Néphrologie | Corbeil-Essonnes | |
France | CHU de Dijon | Dijon | |
France | CHU de Martinique | Fort-de-France | |
France | Hôpital Bicêtre - Médecine interne | Le Kremlin-Bicêtre | |
France | Hôpital Bicêtre - SMIT | Le Kremlin-Bicêtre | |
France | CHU de Limoges | Limoges | |
France | Hospices Civils de Lyon (HCL) | Lyon | |
France | CHU de Montpellier | Montpellier | |
France | CHRU de Nancy | Nancy | |
France | CHU de Nantes | Nantes | |
France | CHU de Nîmes | Nîmes | |
France | Hôpital Bichat Claude-Bernard | Paris | |
France | Hôpital Bichat Claude-Bernard - SAU | Paris | |
France | Hôpital Lariboisière - SAU SMUR | Paris | |
France | Hôpital Lariboisière - SMIT | Paris | |
France | Hôpital Pitié-Salpêtrière | Paris | |
France | Hôpital Saint Antoine | Paris | |
France | Hôpital Saint Antoine - SAU | Paris | |
France | Hôpital Saint-Louis | Paris | |
France | Hôpital Tenon | Paris | |
France | Hôpital Universitaire Necker Enfants Malades | Paris | |
France | Hôpitaux Cochin - Port Royal | Paris | |
France | CHI Poissy St Germain en Laye | Poissy | |
France | CHU de Poitiers | Poitiers | |
France | CHU de Rennes | Rennes | |
France | CH de Tarbes | Tarbes | |
France | CHU de Toulouse | Toulouse | |
France | CHU de Toulouse - IUCT - Oncopole | Toulouse | |
France | CH de Tourcoing | Tourcoing | |
France | CHRU de Tours - Hôpital Bretonneau | Tours |
Lead Sponsor | Collaborator |
---|---|
ANRS, Emerging Infectious Diseases |
France,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Percentage of patients hospitalized (if the patient was outpatient) or whose hospitalization was extended for complications from COVID-19 within 1 month of symtoms' onset. | Month 1 | ||
Secondary | Percentage of patients hospitalized whatever the reason | Month 1 and 3 | ||
Secondary | Percentage of patients with an WHO score >= 5 | Month 1 | ||
Secondary | Percentage of patients staying in an Intensive Care Unit in the month following symptoms' onset | Month 1 | ||
Secondary | Percentage of patients who died from COVID-19 complications and any other reason | Month 1 | ||
Secondary | Percentage of patients presenting a adverse event and percentage of treatment discontinuation caused by those adverse events | Month 1 | ||
Secondary | Time between first symptoms and treatment and the reasons for this delay | Day 0 | ||
Secondary | Virological response | Percentage of virological response defined by CT>=31 or negative PCR test + | Day 7 for ambulatory patients, Day 3, 5 and 7 for hospitalized patients | |
Secondary | Virological criteria linked to the emergence of resistance | Percentage of patients included developing resistance variants, genotypic and phenotypic characterization of resistance variants | from inclusion until a negative PCR test or Ct =31 is obtained | |
Secondary | Percentage of patients with positive anti-N and anti-S serology | Day 0 and Month 3 | ||
Secondary | anti-S antibody level | Day 0 and Month 3 | ||
Secondary | Flow cytometry cartography of myeloid response | Flow cytometry cartography of myeloid (functional subtypes of monocytes and dendritic cells) response | Day 0, 7 and Month 1 | |
Secondary | Flow cytometry cartography of T-lymphocyte response | Flow cytometry cartography of T-lymphocyte (conventional T-lymphocytes by identifying naïve, memory and effector Th1, Th2, Tfh and Th17 T-lymphocytes, NK and gamma-delta T-lymphocytes, regulatory T-lymphocytes; surface and intracellular markers) response | Day 0, 7 and Month 1 | |
Secondary | Flow cytometry cartography of B-lymphocyte response | Flow cytometry cartography of B-lymphocyte (transitional, naïve, memory T-lymphocyte with or without isotypic switching, plasmablasts) response | Day 0, 7 and Month 1 | |
Secondary | Dosing of a wide range of cytokines and chemokines (IFNalpha, IFNgamma, IL-6, IL-1, IL-8, IL-15, IL-18, IL1-RA, IL-7, IL-10, CXCL10, CXCL13, CCL2 and CCL3) using the Meso Scale Discovery approach | Day 0, 7 and Month 1 | ||
Secondary | Clinical and biological predictors (clinical parameters, treatment received, virological criteria (cycle threshold (CT), variants) of the onset of complications from COVID19, hospitalization, death | Identication of clinical and biological predictors of the onset of complications from COVID19, hospitalization, death by a logistic model or survival model (RMST): the response variable is the occurrence of a complication, hospitalization, death or the average survival at 1 month on these different criteria; the covariates are the parameters at inclusion, the treatment received, the virological criteria (CT, variants) which can be considered as a time-dependent covariate | from inclusion until the end of the follow-up (Month 1 or Month 3) | |
Secondary | Clinical and biological predictive factors (clinical parameters, treatment received, virological criteria (cycle threshold (CT), variants)) linked to the neutralizing serological response: non-response, duration of the response | Identification of clinical and biological predictive factors (clinical parameters, treatment received, virological criteria (cycle threshold (CT), variants)) linked to the neutralizing serological response: non-response, duration of the response by a logistic model or mixed model for repeated measures | from inclusion until the end of the follow-up (Month 1 or Month 3) | |
Secondary | Clinical and biological predictors (clinical parameters, treatment received, virological criteria) of viral response (viral genotypes, emergence of resistant strains) | Identification of clinical and biological predictive factors related to the virological response (viral genotypes, emergence of resistant strains) by a logistic model: the response variable is RT-PCR negativation at D7 (or CT=31), the covariates are the parameters at inclusion, the treatment received, the virological criteria at baseline | from inclusion until the end of the follow-up (Month 1 or Month 3) |
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