Predictors of anti-TNF treatment failure in intestinal Behçet's disease: a multicenter retrospective cohort study.

IF 2.9 3区 医学 Q2 RHEUMATOLOGY
Wenyan Xu, Xiudi Wu, Qiuxia Yu, Kefang Sun, Xinli Mao, Hua Ye, Lei Xu, Huogen Wang, Yidong Wan, Tejia Shen, Chunxiao Chen, Lan Li
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引用次数: 0

Abstract

Objective: Treatment options for intestinal Behçet's disease (BD) are limited. Despite the proven efficacy of infliximab and adalimumab, there is an urgent need to identify predictive factors for inadequate response or non-response to anti-TNF agents.

Methods: We conducted a retrospective cohort study involving 71 patients diagnosed with intestinal BD and treated with anti-TNF across four hospitals from August 2018 to December 2024. Demographic data, clinical symptoms, endoscopic findings, and laboratory parameters were collected at baseline and every 3 months after anti-TNF therapy until the latest follow-up appointment. The primary outcome was non-response or inadequate response to anti-TNF therapy, or presence of intestinal complications.

Results: During the study period, 35.2% (25/71) of patients met the primary outcome at a median follow-up time of 8.5 months. Pre-treatment endoscopic score greater than 2.5, presence of opportunistic infections, DAIBD score > 12.5, ESR > 14.50 mm/h, and CRP > 12.83 mg/L three months post-treatment were identified to be associated with anti-TNF treatment failure. ROC curve established by incorporating these variables demonstrated a strong predictive capacity for treatment failure (AUC = 0.930). An internal validation of ROC curve was performed by the bootstrap method, which demonstrated good accuracy and stability. We subsequently developed a nomogram model to calculate the risk of treatment failure based on the above variables.

Conclusions: Predictors of anti-TNF treatment failure in patients with intestinal BD included baseline endoscopic score, the occurrence of opportunistic infections, and DAIBD score, CRP and ESR at 3 months post-treatment. Our model can identify high-risk patients early, allowing for the timely optimization of treatment regimens. Key Points • We explored the predictive factors for inadequate response or non-response to anti-TNF agents in patients with intestinal Behçet's disease. • Treatment failure occurred in 35.2% of patients treated with anti-TNF at a median follow-up of 8.5 months. • Pre-treatment endoscopic score greater than 2.5, presence of opportunistic infections, DAIBD score over 12.5, ESR above 14.50 mm/h, and CRP above 12.83 mg/L at three months post-treatment are significant predictors of treatment failure.

肠道behet病抗tnf治疗失败的预测因素:一项多中心回顾性队列研究
目的:肠道behaperet病(BD)的治疗选择有限。尽管英夫利昔单抗和阿达木单抗的疗效已得到证实,但迫切需要确定抗tnf药物反应不足或无反应的预测因素。方法:我们对2018年8月至2024年12月在四家医院诊断为肠道BD并接受抗tnf治疗的71例患者进行了回顾性队列研究。在基线和抗肿瘤坏死因子治疗后每3个月收集一次人口统计学数据、临床症状、内窥镜检查结果和实验室参数,直到最近一次随访预约。主要结局是对抗tnf治疗无反应或反应不足,或存在肠道并发症。结果:在研究期间,35.2%(25/71)的患者在8.5个月的中位随访时间内达到了主要结局。治疗前内镜评分大于2.5、存在机会性感染、DAIBD评分> 12.5、ESR > 14.50 mm/h、CRP > 12.83 mg/L与治疗后3个月抗tnf治疗失败相关。合并这些变量建立的ROC曲线对治疗失败具有较强的预测能力(AUC = 0.930)。采用自举法对ROC曲线进行了内部验证,结果表明该方法具有良好的准确度和稳定性。我们随后开发了一个基于上述变量的nomogram模型来计算治疗失败的风险。结论:肠道BD患者抗tnf治疗失败的预测因素包括基线内镜评分、机会性感染的发生、治疗后3个月的DAIBD评分、CRP和ESR。我们的模型可以早期识别高危患者,从而及时优化治疗方案。•我们探讨了肠道behaperet病患者对抗tnf药物反应不足或无反应的预测因素。•在中位随访8.5个月时,接受抗tnf治疗的患者中有35.2%出现治疗失败。•治疗前内镜评分大于2.5,存在机会性感染,DAIBD评分大于12.5,ESR高于14.50 mm/h,治疗后3个月CRP高于12.83 mg/L是治疗失败的重要预测因素。
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来源期刊
Clinical Rheumatology
Clinical Rheumatology 医学-风湿病学
CiteScore
6.90
自引率
2.90%
发文量
441
审稿时长
3 months
期刊介绍: Clinical Rheumatology is an international English-language journal devoted to publishing original clinical investigation and research in the general field of rheumatology with accent on clinical aspects at postgraduate level. The journal succeeds Acta Rheumatologica Belgica, originally founded in 1945 as the official journal of the Belgian Rheumatology Society. Clinical Rheumatology aims to cover all modern trends in clinical and experimental research as well as the management and evaluation of diagnostic and treatment procedures connected with the inflammatory, immunologic, metabolic, genetic and degenerative soft and hard connective tissue diseases.
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