TNF-α 拮抗剂与类风湿性关节炎中的感染

Julia F Simard, Murray A Mittleman, Nancy A Shadick, Elizabeth W Karlson
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引用次数: 0

摘要

背景:抗肿瘤坏死因子(Anti-TNF)治疗可能会增加感染风险,但由于抗肿瘤坏死因子(Anti-TNF)治疗的时机是由疾病活动决定的,而疾病活动可能会影响感染的易感性,从而导致随时间变化的混杂因素,因此很难对此进行研究。我们采用多种方法评估了类风湿关节炎(RA)患者开始使用抗肿瘤坏死因子(anti-TNF)治疗与感染之间的关系,并对时变混杂因素进行了调整。方法:对布里格姆和妇女类风湿关节炎序列研究(BRASS)中入组时使用≥1种非生物DMARD的383名抗TNF无效RA患者进行了长达两年的随访。通过在调整模型中加入时变协变量和逆概率治疗加权(IPTW),进行汇总逻辑回归,估计抗肿瘤坏死因子与感染之间的关系:无论采用哪种分析方法,对随时间变化的疾病活动性和其他疑似混杂因素进行调整后,抗肿瘤坏死因子起始与感染之间的关系均为无统计学意义的正相关(RRmvar_adj = 2.1,95% CI:0.8 - 5.8):将不断变化的临床状态、治疗适应症和后果纳入分析,结果显示抗肿瘤坏死因子起始与感染相关的相对风险持续升高(尽管并不显著)。由于统计能力有限,我们无法得出肯定的结论。不过,我们已经说明了在纵向研究中调整潜在时变混杂因素的多种方法,并希望在更大规模的研究中复制这些方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TNF-α Antagonist and Infection in Rheumatoid Arthritis.

Background: Anti-TNF treatment may increase infection risk, although this has been difficult to study because the timing of anti-TNF treatment is driven by disease activity, which may influence infection susceptibility leading to confounding that varies over time. We evaluated the association between anti-TNF initiation in rheumatoid arthritis (RA) patients on disease modifying anti-rheumatic drugs (DMARD) and infection using multiple approaches adjusting for time-varying confounding.

Methods: 383 anti-TNF-naïve RA patients on ≥1 non-biologic-DMARD at enrollment from the Brigham and Women's Rheumatoid Arthritis Sequential Study (BRASS) were followed up to two years. Pooled logistic regressions estimated the association between anti-TNF and infection by including time-varying covariates in the adjusted models and inverse probability treatment weighting (IPTW).

Results: Adjustment for time-varying disease activity and other suspected confounders yielded non-statistically significant positive associations between anti-TNF start and infection regardless of analytic approach (RRmvar_adj = 2.1, 95% CI: 0.8 - 5.8).

Conclusions: Incorporating changing clinical status, and treatment indications and consequences, yielded consistently (though not significantly) elevated relative risks of infection associated with anti-TNF initiation. Due to limited statistical power, we cannot draw firm conclusions. However, we have illustrated multiple approaches adjusting for potential time-varying confounding in longitudinal studies and hope to replicate the approaches in larger studies.

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