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Evaluation of the prediction of clinical response to rituximab at a dose of 1000 mg once using a pharmacological model including several pharmacokinetic and pharmacodynamic parameters.
Rituximab is an anti-CD20 monoclonal antibody which is effective in RA. The dose indicated in the marketing authorisation is 1000 mg twice per cycle. However, rituximab is associated with adverse events, and more specifically the risk of infection, which seems to be dose-dependent. The dose of 1000 mg once a cycle has been evaluated and is non-inferior for maintenance treatment. Lower doses than 1000 mg once could also be sufficient, but there is a lack of predictive criteria to guide clinicians in their search for the minimal effective dose for a given patient.
In our center, a PK-PD model including several parameters (body surface area, serum IgG concentration, residual rituximab concentrations and CD4+ T-cell count) has enabled to quantify part of the concentration-effect relationship of rituximab in this indication and at standard dose (1000 mg twice at 15-day intervals). On the basis of this model, a model for predicting clinical response has been developed.with reliable prediction of clinical response.
The aim of this study is to apply this model to patients receiving low-dose rituximab (1000 mg once per cycle) and to evaluate the prediction of clinical response to low-dose rituximab using this model.
Correlation and coefficient of determination between DAS28-CRP observed 6 months after a second low-dose cycle and DAS-28 predicted by a PK-PD model taking into account gender, body surface area, IgG concentration, rituximab concentration and CD4 T-cell count.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients group | The number of subjects required for our study was set at 30. It's a single-centre prospective non-interventional descriptive study. Patients will be followed every 3 months during 12 months. At inclusion, they will receive a first cycle of low-dose rituximab followed by a second cycle at 6 months. |
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| Measure | Description | Time Frame |
|---|---|---|
| Observed Disease Activity Score(DAS) 28-CRP | DAS28-CRP measured by the clinician 6 months after the second cycle of rituximab | 6 months after a second low-dose cycle |
| Calculated DAS28-CRP | DAS28-CRP calculated 6 months after the second cycle of rituximab by a PK-PD model, taking into account gender, body surface area in m2, IgG concentration, rituximab concentration and CD4+ T-cell count | 6 months after a second low-dose cycle |
| Measure | Description | Time Frame |
|---|---|---|
| Prevalence observed DAS28-CRP |
| 3 months and 6 months of the first and second cycle of low-dose rituximab |
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Inclusion Criteria:
. Age ≥ 18 years
Exclusion Criteria:
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Adult patients with a diagnosis of rheumatoid arthritis meeting ACR/EULAR 2010 criteria on standard-dose rituximab with a good clinical response.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Simon BRUNET | Contact | 247475917 | +33 | simon.brunet@chu-tours.fr |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University hospital | Recruiting | Tours | 37044 | France |
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| ID | Term |
|---|---|
| D001172 | Arthritis, Rheumatoid |
| ID | Term |
|---|---|
| D001168 | Arthritis |
| D007592 | Joint Diseases |
| D009140 | Musculoskeletal Diseases |
| D012216 | Rheumatic Diseases |
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3 blood samples at months 0, 3, 6, 9 and 12
| Description of events | Description of moderate and severe infectious events. Description of adverse events occurring during infusions | From enrolment to 12 months |
| prevalence calculated DAS28-CRP |
| 6 months of the second cycle of low-dose rituximab |
| CD4 T cell count | T cell count (< 500/mm3) | 6 months of a second cycle of low dose rituximab. |
| immunoglobulin G level | immunoglobulin G level (< 6 g/L) | 6 months of a second cycle of low dose rituximab. |
| D003240 |
| Connective Tissue Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |