Division of Gastroenterology, Center for Inflammatory Bowel Diseases, Beth-Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Curr Opin Rheumatol. 2020 Jul;32(4):371-379. doi: 10.1097/BOR.0000000000000713.
To give an overview on the role of therapeutic drug monitoring (TDM) of biologics in patients with inflammatory bowel disease (IBD).
Numerous prospective exposure-response relationship studies and post-hoc analyses of randomized controlled trials (RCTs) show a positive correlation between biologic drug concentrations and favorable clinical outcomes in IBD. These studies also demonstrate that higher drug concentrations appear to be needed to achieve more stringent objective therapeutic outcomes. Reactive TDM rationalizes the management of primary nonresponse and secondary loss of response to antitumor necrosis factor (anti-TNF) therapy and is more cost-effective when compared with empiric dose optimization. Furthermore, recent data suggest that proactive TDM, with the goal of targeting a threshold drug concentration, is associated with better therapeutic outcomes when compared with empiric dose escalation and/or reactive TDM of infliximab or adalimumab. Finally, proactive TDM can also efficiently guide infliximab de-escalation or discontinuation in patients with IBD in remission.
Reactive TDM is currently considered as standard of care, whereas proactive TDM is emerging as a new therapeutic strategy for better optimizing anti-TNF therapy in IBD. However, more data from prospective studies are needed before a wide implementation of TDM-based algorithms in real life clinical practice for newer biologics.
介绍生物制剂治疗药物监测(TDM)在炎症性肠病(IBD)患者中的作用。
许多前瞻性暴露-反应关系研究和随机对照试验(RCT)的事后分析表明,生物药物浓度与 IBD 的良好临床结局之间存在正相关。这些研究还表明,似乎需要更高的药物浓度才能实现更严格的客观治疗结局。反应性 TDM 使原发性无应答和抗肿瘤坏死因子(anti-TNF)治疗的继发性应答丧失的管理合理化,与经验性剂量优化相比更具成本效益。此外,最近的数据表明,与经验性剂量递增和/或英夫利昔单抗或阿达木单抗的反应性 TDM 相比,以靶向药物浓度阈值为目标的主动 TDM 与更好的治疗结局相关。最后,主动 TDM 还可以有效地指导缓解期 IBD 患者英夫利昔单抗的逐步降低或停药。
反应性 TDM 目前被认为是标准治疗方法,而主动 TDM 作为一种新的治疗策略,正在出现,以更好地优化 IBD 中的抗 TNF 治疗。然而,在现实临床实践中,需要更多来自前瞻性研究的数据,才能广泛实施基于 TDM 的算法,以应用于新型生物制剂。