Teisseyre Maxime, Destere Alexandre, Cremoni Marion, Zorzi Kévin, Brglez Vesna, Benito Sylvain, Bailly Laurent, Fernandez Céline, Seitz-Polski Barbara
Institut de Recherche sur le Cancer et Vieillissement UMR7284 CNRS INSERM U1081, Université Côte d'Azur, Nice, Provence-Alpes-Côte d'Azur, France
Centre de Référence Maladies Rares Syndrome Néphrotique Idiopathique et Glomérulonéphrite Extra-Membraneuse, Université Côte d'Azur, Centre Hospitalier Universitaire de Nice, Nice, Provence-Alpes-Côte d'Azur, France.
BMJ Open. 2025 Apr 2;15(4):e093920. doi: 10.1136/bmjopen-2024-093920.
Membranous nephropathy is an autoimmune kidney disease and the most common cause of nephrotic syndrome in non-diabetic Caucasian adults. Rituximab is now recommended as first-line therapy for membranous nephropathy. However, Kidney Disease Improving Global Outcomes guidelines do not recommend any specific protocol. Rituximab bioavailability is reduced in patients with membranous nephropathy due to urinary drug loss. Underdosing of rituximab is associated with treatment failure. We have previously developed a machine learning algorithm to predict the risk of underdosing. We have retrospectively shown that patients with a high risk of underdosing required higher doses of rituximab to achieve remission. The aim of this prospective study is to evaluate the efficacy of algorithm-driven rituximab treatment in patients with membranous nephropathy compared to standard treatment.
A multicentre, randomised, controlled, open-label, prospective superiority clinical trial will be conducted in 13 French hospitals. 130 consecutive patients with primary membranous nephropathy and active nephrotic syndrome will be randomised to either the standard protocol control group (two 1 g rituximab infusions on days 0 and 15) or the algorithm-driven rituximab treatment group. In the latter, the rituximab dose will depend on the algorithm-estimated risk of underdosing. Patients with an algorithm-estimated risk of underdosing ≤50% will receive 1 g of rituximab on days 0 and 15. Patients with an algorithm-estimated risk of underdosing between 51% and 75% will receive 1 g of rituximab on days 0, 15 and 30. Finally, patients with an estimated risk of underdosing >75% will receive 1 g of rituximab on days 0, 15, 30 and 45. The primary study outcome is the rate of clinical remission (complete or partial) at month 6 after treatment initiation. The secondary outcomes include clinical remission at month 12, immunological remission, proteinuria, albuminuria, serum creatinine, estimated glomerular filtration rate, phospholipase A2 receptor type 1 antibody titre, anti-rituximab antibody occurrence, lymphocyte count, serum rituximab level and related adverse events.
The trial received ethics approval from the local ethics boards. The results of this study will confirm whether algorithm-driven rituximab treatment is more effective in inducing remission than the standard regimen and thus may contribute to improving management of patients with membranous nephropathy. The results of our study will be submitted to a peer-review journal.
NCT06341205 trial number. Registered on 2 April 2024.
膜性肾病是一种自身免疫性肾脏疾病,是非糖尿病白种人成年人肾病综合征最常见的病因。利妥昔单抗现被推荐作为膜性肾病的一线治疗药物。然而,改善全球肾脏病预后组织的指南并未推荐任何特定方案。由于药物经尿液流失,膜性肾病患者的利妥昔单抗生物利用度降低。利妥昔单抗剂量不足与治疗失败相关。我们之前开发了一种机器学习算法来预测剂量不足的风险。我们回顾性研究表明,剂量不足风险高的患者需要更高剂量的利妥昔单抗才能实现缓解。这项前瞻性研究的目的是评估与标准治疗相比,算法驱动的利妥昔单抗治疗对膜性肾病患者的疗效。
将在13家法国医院进行一项多中心、随机、对照、开放标签的前瞻性优势临床试验。130例连续的原发性膜性肾病和活动性肾病综合征患者将被随机分为标准方案对照组(在第0天和第15天各输注1g利妥昔单抗)或算法驱动的利妥昔单抗治疗组。在后者中,利妥昔单抗剂量将取决于算法估计的剂量不足风险。算法估计剂量不足风险≤50%的患者将在第0天和第15天接受1g利妥昔单抗。算法估计剂量不足风险在51%至75%之间的患者将在第0天、第15天和第30天接受1g利妥昔单抗。最后,估计剂量不足风险>75%的患者将在第0天、第15天、第30天和第45天接受1g利妥昔单抗。主要研究结局是治疗开始后第6个月的临床缓解率(完全或部分缓解)。次要结局包括第12个月的临床缓解、免疫缓解、蛋白尿、白蛋白尿、血清肌酐、估计肾小球滤过率、1型磷脂酶A2受体抗体滴度、抗利妥昔单抗抗体的出现、淋巴细胞计数、血清利妥昔单抗水平及相关不良事件。
该试验获得了当地伦理委员会的伦理批准。本研究结果将证实算法驱动的利妥昔单抗治疗在诱导缓解方面是否比标准方案更有效,从而可能有助于改善膜性肾病患者的管理。我们的研究结果将提交给同行评审期刊。
NCT06341205试验编号。于2024年4月2日注册。