亚临床活动性炎症对 IFX 药代动力学模型和疾病进展评估的影响:炎症性肠病患者前瞻性真实世界研究的发现。

Fernando Magro, Samuel Fernandes, Marta Patita, Bruno Arroja, Paula Lago, Isadora Rosa, Helena Tavares de Sousa, Paula Ministro, Irina Mocanu, Ana Vieira, Joana Castela, Joana Moleiro, Joana Roseira, Eugénia Cancela, Paula Sousa, Francisco Portela, Luís Correia, Paula Moreira, Sandra Dias, Joana Afonso, Silvio Danese, Laurent Peyrin-Biroulet, Katarina M Vucicevic, Mafalda Santiago
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引用次数: 0

摘要

背景和目的:炎症性肠病(IBD)的有效治疗有赖于对英夫利西单抗(IFX)药代动力学(PK)的全面了解。本研究的主要目标是建立一个稳健的 PK 模型,确定影响 IFX 清除率(CL)的关键协变量,同时评估 IBD 治疗维持阶段的疾病进展风险:这项多中心、前瞻性、真实世界 DIRECT 研究在多家医疗中心进行,共纳入 369 名处于 IFX 治疗维持阶段的 IBD 患者。研究采用两室人群 PK 模型确定 IFX CL 和协变量。应用逻辑回归和 Cox 回归阐明了疾病进展与 PK 模型中的协变量之间的关系:PK模型包括体重、白蛋白、抗药物抗体(ADA)和粪便钙蛋白(FC)的贡献。平均而言,较高的 ADA、FC 浓度和体重以及较低的白蛋白浓度会导致较高的 IFX CL。在多变量回归分析中,在调整了几个混杂因素后,FC水平影响了所有不同定义的疾病进展几率。此外,除 FC 外,IFX 和 CL 对疾病进展的时间性也有显著影响:在这项为期两年的真实世界研究中,现成的临床协变量(尤其是 FC)对 IBD 患者的 IFX 可用性有显著影响。我们证明,FC 或 CRP 所反映的亚临床活动性炎症对 IFX 的清除率有很大影响。重要的是,FC不仅是IFX药代动力学的关键决定因素,也是疾病进展的关键决定因素。这些发现强调了将 FC 纳入即将推出的 IFX 药代动力学模型的必要性,从而扩大了其临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Influence of Subclinical Active Inflammation on IFX Pharmacokinetic Modeling and Disease Progression Assessment: Findings from a Prospective Real-World Study in Inflammatory Bowel Disease Patients.

Background and aims: Effective management of inflammatory bowel disease (IBD) relies on a comprehensive understanding of infliximab (IFX) pharmacokinetics (PK). This study's primary goal was to develop a robust PK model, identifying key covariates influencing IFX clearance (CL), while concurrently evaluating the risk of disease progression during the maintenance phase of IBD treatment.

Methods: The multicenter, prospective, real-world DIRECT study was conducted in several care centers, which included 369 IBD patients in the maintenance phase of IFX therapy. A two-compartment population PK model was used to determine IFX CL and covariates. Logistic and Cox regressions were applied to elucidate the associations between disease progression and covariates embedded in the PK model.

Results: The PK model included the contributions of weight, albumin, antidrug antibody (ADA), and fecal calprotectin (FC). On average, higher ADA, FC concentration and weight, and lower albumin concentration resulted in higher IFX CL. In the multivariate regression analyses, FC levels influenced the odds of disease progression in the majority of its definitions, when adjusted for several confounding factors. Additionally, alongside FC, both IFX and CL demonstrated a significant impact on the temporal aspect of disease progression.

Conclusion: In this 2-year real-world study, readily available clinical covariates, notably FC, significantly impacted IFX availability in IBD patients. We demonstrated that subclinical active inflammation, as mirrored by FC or CRP, substantially influenced IFX clearance. Importantly, FC emerged as a pivotal determinant, not only of IFX pharmacokinetics but also of disease progression. These findings underscore the need to integrate FC into forthcoming IFX pharmacokinetic models, amplifying its clinical significance.

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