Personalized Rituximab Treatment Based on Artificial Intelligence in Membranous Nephropathy (iRITUX)

Trial statusRecruiting
Trial phasePhase 3
Trial typeInterventional
Biological sexAll
Age18+
SponsorCentre Hospitalier Universitaire de Nice

About this trial

Membranous nephropathy is an autoimmune disease affecting the kidney, and the most common cause of nephrotic syndrome in non-diabetic Caucasian adults. The course of this disease is highly variable from one individual to another, ranging from spontaneous remission to progressive chronic kidney disease.

The identification of autoantibodies - e.g., the phospholipase A2 receptor type 1 (PLA2R1) - has promoted the use of immunosuppressive drugs such as rituximab which is now a safe and effective first-line treatment for the management of membranous nephropathy. However, up to 40% of patients do not respond to a first course of rituximab treatment. In nephrotic patients, due to urinary drug loss, rituximab blood level is lower than in other autoimmune diseases treated with rituximab without proteinuria. This high urinary drug loss decreases the drug exposure, potentially explaining why rituximab regimen with low dose infusions (375 mg/m2) did not demonstrate efficacy after month-6 compared to a non-immunosuppressive antiproteinuric treatment in a previous study. In contrast, a regimen of two 1-g infusions two weeks apart was associated with a significantly greater remission rate after 6 months.

Recently, the investigators have shown that after two 1-g rituximab infusions, the rituximab blood level 3 months after the first rituximab infusion, was correlated with the likelihood of remission after 6 and 12 months of the rituximab treatment. Patients with positive rituximab blood level 3 months after treatment had a higher chance of remission at month-6 and at month-12 than patients with an undetectable rituximab level at month-3.

Nowadays, machine learning algorithms are increasingly used in medicine, especially in pharmacology, to predict the exposure to a drug, the initial dose to administer or the interval between two infusions.

The objective of this study is to use a machine learning algorithm predicting the risk of having an undetectable residual level of rituximab 3 months after treatment, in order to propose a personalized treatment management with early additional doses of rituximab for the patients at risk.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

Age ≥ 18 years

Ongoing episode of membranous nephropathy diagnosed by the presence of anti-PLA2R1 antibodies detected by ELISA (≥ 14 RU/ml, EUROIMMUN): the result must be validated by the Coordination team before randomization.

Nephrotic syndrome defined by proteinuria > 3.5 g/24h (or UPCR > 3.5 g/g) and serum albumin < 30 g/L at diagnosis

Estimated Glomerular Filtration Rate (CKD-EPI formula) > 30 mL/min/1,73 m2

Disqualifiers

Secondary Membranous nephropathy related to cancer, infection, systemic lupus, drug

Diagnosis of PLA2R1-associated Membranous nephropathy not confirmed by the Coordination team (validation mandatory for randomization)

Pregnancy or breastfeeding

Immunosuppressive treatment (including rituximab) in the 6 months preceding inclusion

Trial design

Design model

Parallel

Treatments tested in this trial

  • RiTUXimab Injection

    Drug

    Dose administered will depend on randomisation and for experimental Arm on the risk of having undetectable rituximab level after 3 months

Treatment groups

120 Participants
are divided into 2 treatment groups
Group A: Standard-of-careActive comparator 1 intervention
Group B: Personalised treatmentExperimental treatment 1 intervention

Trial outcomes

Primary outcomes

1

Clinical remission (complete or partial) after 6 months of rituximab initiation

Clinical remission (complete or partial) according to KDIGO and French guidelines: * Complete: urine protein/creatinine ratio (UPCR) \<0.3 g/g and serum albumin\>30 g/L and Glomerular Filtration Rate (estimated by CKD-EPI formula) \>60 ml/min/1.73m2 * Partial: UPCR \<3.5 g/g with a decrease \>50% from baseline (i.e., at first rituximab infusion) and serum albumin improvement or normalization and stable serum creatinine (or increase \<30%).

Time frame
6 months

Secondary outcomes

1

Complete clinical remission after 12 months of rituximab initiation

Complete remission: urine protein/creatinine ratio (UPCR) \<0.3 g/g and serum albumin\>30 g/L and Glomerular Filtration Rate (estimated by CKD-EPI formula) \>60 ml/min/1.73m2

Time frame
12 months
2

Partial clinical remission after 12 months of rituximab initiation

Partial remission: UPCR \<3.5 g/g with a decrease \>50% from baseline (i.e., at first rituximab infusion) and serum albumin improvement or normalization and stable serum creatinine (or increase \<30%).

Time frame
12 months
3

Immunological remission: anti-PLA2R1 depletion

Immunological remission: anti-PLA2R1 depletion (i.e., PLA2R1 titer \< 14 RU/mL by ELISA method) at month-3, month-6 and month-12

Time frame
12 months
4

Change in urine protein/creatinine ratio (UPCR)

Percentage of change in urine albumin/creatinine ratio (mg/g) from day-0 to month-3, month-6, month-9, month-12

Time frame
12 months

Other outcomes

Sponsors and contacts

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