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系统评价:预测和优化克罗恩病抗TNF治疗反应——实用管理算法

Systematic review: predicting and optimising response to anti-TNF therapy in Crohn's disease - algorithm for practical management.

作者信息

Ding N S, Hart A, De Cruz P

机构信息

Department of Gastroenterology, St Mark's Hospital, Harrow, UK.

Department of Medicine, Imperial College London, London, UK.

出版信息

Aliment Pharmacol Ther. 2016 Jan;43(1):30-51. doi: 10.1111/apt.13445. Epub 2015 Oct 30.

Abstract

BACKGROUND

Nonresponse and loss of response to anti-TNF therapies in Crohn's disease represent significant clinical problems for which clear management guidelines are lacking.

AIM

To review the incidence, mechanisms and predictors of primary nonresponse and secondary loss of response to formulate practical clinical algorithms to guide management.

METHODS

Through a systematic literature review, 503 articles were identified which fit the inclusion criteria.

RESULTS

Primary nonresponse to anti-TNF treatment affects 13-40% of patients. Secondary loss of response to anti-TNF occurs in 23-46% of patients when determined according to dose intensification, and 5-13% of patients when gauged by drug discontinuation rates. Recent evidence suggests that the mechanisms underlying primary nonresponse and secondary loss of response are multifactorial and include disease characteristics (phenotype, location, severity); drug (pharmacokinetic, pharmacodynamic or immunogenicity) and treatment strategy (dosing regimen) related factors. Clinical algorithms that employ therapeutic drug monitoring (using anti-TNF tough levels and anti-drug antibody levels) may be used to determine the underlying cause of primary nonresponse and secondary loss of response respectively and guide clinicians as to which patients are most likely to respond to anti-TNF therapy and help optimise drug therapy for those who are losing response to anti-TNF therapy.

CONCLUSIONS

Nonresponse or loss of response to anti-TNF occurs commonly in Crohn's disease. Clinical algorithms utilising therapeutic drug monitoring may establish the mechanisms for treatment failure and help guide the subsequent therapeutic approach.

摘要

背景

克罗恩病患者对抗肿瘤坏死因子(TNF)治疗无反应及反应丧失是严重的临床问题,目前缺乏明确的管理指南。

目的

回顾原发性无反应和继发性反应丧失的发生率、机制及预测因素,以制定实用的临床算法来指导管理。

方法

通过系统的文献综述,确定了503篇符合纳入标准的文章。

结果

抗TNF治疗的原发性无反应影响13%-40%的患者。根据剂量强化确定,抗TNF治疗的继发性反应丧失发生在23%-46%的患者中,根据停药率衡量则为5%-13%的患者。最近的证据表明,原发性无反应和继发性反应丧失的潜在机制是多因素的,包括疾病特征(表型、部位、严重程度);药物(药代动力学、药效动力学或免疫原性)和治疗策略(给药方案)相关因素。采用治疗药物监测(使用抗TNF谷浓度和抗药物抗体水平)的临床算法可分别用于确定原发性无反应和继发性反应丧失的潜在原因,并指导临床医生哪些患者最可能对抗TNF治疗有反应,以及帮助那些对抗TNF治疗失去反应的患者优化药物治疗。

结论

抗TNF治疗无反应或反应丧失在克罗恩病中很常见。利用治疗药物监测的临床算法可确定治疗失败的机制,并有助于指导后续的治疗方法。

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