Division of Immunology and Rheumatology, Department of Medicine, Stanford University, Stanford, California.
Quantitative Sciences Unit, Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Stanford, California.
JAMA Netw Open. 2023 Mar 1;6(3):e233640. doi: 10.1001/jamanetworkopen.2023.3640.
Current data are lacking regarding the risk of biologic and targeted synthetic disease-modifying antirheumatic drug (b/tsDMARD) use on the development of interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA).
To determine the risk of developing ILD in patients with RA undergoing treatment with different b/tsDMARDs.
DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study using claims data from the Optum Clinformatics Data Mart between December 2003 and December 2019. Adult patients with RA, 1 year or more of continuous enrollment, treatment with a b/tsDMARD of interest, and without preexisting ILD were included. Data were analyzed from October 2021 to April 2022.
New administration of adalimumab, abatacept, rituximab, tocilizumab, or tofacitinib.
Crude incidence rates (IRs) for the development of ILD were calculated. The risk of ILD across different b/tsDMARDs was compared using Cox-regression models. A sensitivity analysis using a prevalent new-user cohort design compared patients treated with tofacitinib and adalimumab.
A total of 28 559 patients with RA (mean [SD] age 55.6 [13.7] years; 22 158 female [78%]) were treated with adalimumab (13 326 patients), abatacept (5676 patients), rituximab (5444 patients), tocilizumab (2548 patients), or tofacitinib (1565 patients). Crude IRs per 1000 person-years for ILD were 3.43 (95% CI 2.85-4.09) for adalimumab, 4.46 (95% CI 3.44-5.70) for abatacept, 6.15 (95% CI 4.76-7.84) for rituximab, 5.05 (95% CI 3.47-7.12) for tocilizumab, and 1.47 (95% CI 0.54-3.27) for tofacitinib. After multiple adjustments, compared with patients treated with adalimumab, patients treated with tofacitinib had a lower risk of ILD (adjusted hazard ratio [aHR] 0.31; 95% CI, 0.12-0.78; P = .009). In a prevalent new-user cohort analysis, patients treated with tofacitinib had 68% reduced risk of ILD compared with adalimumab (aHR 0.32; 95% CI 0.13-0.82; P < .001). In an adjusted model, there was a 69% reduced risk of ILD in patients treated with tofacitinib compared with patients treated with adalimumab.
In this retrospective cohort of patients with RA, patients treated with tofacitinib had the lowest incidence of ILD compared with patients treated with all bDMARDs evaluated, and patients treated with tofacitinib had a reduced risk of ILD compared with patients treated with adalimumab after adjusting for important covariates. Additional prospective studies are needed to better understand the role tofacitinib may play in preventing ILD in patients with RA. These results, while significant, should be interpreted with caution given the fairly small sample size of the tofacitinib group.
目前缺乏关于生物制剂和靶向合成疾病修饰抗风湿药物(b/tsDMARD)在类风湿关节炎(RA)患者中使用与间质性肺病(ILD)发展相关的风险的数据。
确定不同 b/tsDMARD 治疗的 RA 患者发生 ILD 的风险。
设计、设置和参与者:回顾性队列研究,使用 Optum Clinformatics Data Mart 于 2003 年 12 月至 2019 年 12 月期间的索赔数据。纳入患有 RA、连续登记 1 年或以上、接受感兴趣的 b/tsDMARD 治疗且无预先存在的 ILD 的成年患者。数据于 2021 年 10 月至 2022 年 4 月进行分析。
阿达木单抗、阿巴西普、利妥昔单抗、托珠单抗或托法替尼的新用药。
计算ILD 发展的粗发病率(IR)。使用 Cox 回归模型比较不同 b/tsDMARD 之间的ILD 风险。使用流行新用户队列设计的敏感性分析比较了接受托法替尼和阿达木单抗治疗的患者。
共有 28559 例 RA 患者(平均[标准差]年龄 55.6[13.7]岁;22158 例女性[78%])接受了阿达木单抗(13326 例)、阿巴西普(5676 例)、利妥昔单抗(5444 例)、托珠单抗(2548 例)或托法替尼(1565 例)治疗。ILD 的每 1000 人年粗发病率分别为阿达木单抗 3.43(95%CI,2.85-4.09)、阿巴西普 4.46(95%CI,3.44-5.70)、利妥昔单抗 6.15(95%CI,4.76-7.84)、托珠单抗 5.05(95%CI,3.47-7.12)和托法替尼 1.47(95%CI,0.54-3.27)。经过多次调整后,与接受阿达木单抗治疗的患者相比,接受托法替尼治疗的患者 ILD 的风险较低(调整后的危害比[aHR],0.31;95%CI,0.12-0.78;P = .009)。在流行新用户队列分析中,与接受阿达木单抗治疗的患者相比,接受托法替尼治疗的患者 ILD 的风险降低了 68%(aHR,0.32;95%CI,0.13-0.82;P < .001)。在调整后的模型中,与接受阿达木单抗治疗的患者相比,接受托法替尼治疗的患者 ILD 的风险降低了 69%。
在这项回顾性 RA 患者队列研究中,与所有评估的 bDMARD 相比,接受托法替尼治疗的患者 ILD 的发生率最低,与接受阿达木单抗治疗的患者相比,接受托法替尼治疗的患者在调整了重要协变量后 ILD 的风险降低。需要开展更多的前瞻性研究,以更好地了解托法替尼在预防 RA 患者 ILD 方面可能发挥的作用。这些结果虽然具有重要意义,但鉴于托法替尼组的样本量相当小,应谨慎解释。