Real-World Dose Modification Patterns of Subcutaneous Tocilizumab Among Patients with Rheumatoid Arthritis.

IF 1.4 4区 医学 Q3 HEALTH CARE SCIENCES & SERVICES American Health and Drug Benefits Pub Date : 2019-12-01
Rajeshwari Punekar, Jeannie Choi, Susan Boklage, Melitza Iglesias-Rodriguez, Kamala Nola
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Abstract

Background: The treatment of rheumatoid arthritis is based on the use of disease-modifying antirheumatic drugs (DMARDs). Tocilizumab can be used as monotherapy or in combination with conventional synthetic DMARDs for the treatment of moderate-to-severe active rheumatoid arthritis. Subcutaneous (SC) and intravenous forms of the drug are available, but the SC form is more widely used.

Objective: To understand the real-world dose modification patterns of SC tocilizumab in the treatment of patients with rheumatoid arthritis in the United States.

Methods: Data were obtained from the Truven (now IBM) MarketScan and Optum Clinformatics databases. Patients were included if they had ≥1 pharmacy claims for SC tocilizumab and met other inclusion criteria. The mean, standard deviation, and median values were reported for the continuous variables, and frequency was reported for the categorical variables. Kaplan-Meier analysis was used to analyze the time to first dose modification. Logistic regression modeling was used to identify predictors of the likelihood of dose modification.

Results: The study included 1266 patients in the Truven database and 512 patients in the Optum database who had commercial or Medicare Advantage or supplemental insurance. Of the patients who started treatment with biweekly SC tocilizumab (48% each in the Truven and Optum databases), 37% in Truven and 40% in Optum had dose escalation to a weekly dose. Of those who started weekly SC tocilizumab (43% in the Truven and 49% in the Optum databases), 3% (Truven) and 4% (Optum) had dose reduction. The remaining patients started alternative SC tocilizumab doses. Overall, 60% and 68% of patients in the Truven and Optum cohorts, respectively, initiated or escalated to the higher weekly dose of tocilizumab; the mean time to dose escalation was 126 days and 112 days, respectively. In the Truven cohort, corticosteroid use, age, and anemia were the main predictors for dose escalation. In the Optum cohort, female patients had increased odds of dose escalation compared with male patients.

Conclusion: The dosing trends observed in this study show that physicians have taken advantage of the option to increase SC tocilizumab dosing, but only a few providers chose to reduce the dose. This trend in dose modification may increase the costs related to SC tocilizumab therapy.

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类风湿性关节炎患者皮下托珠单抗的实际剂量改变模式。
背景:类风湿关节炎的治疗是基于使用改善疾病的抗风湿药物(DMARDs)。Tocilizumab可作为单一疗法或与传统合成DMARDs联合用于治疗中度至重度活动性类风湿性关节炎。皮下(SC)和静脉注射形式的药物是可用的,但SC形式更广泛使用。目的:了解SC tocilizumab在美国治疗类风湿关节炎患者的实际剂量调整模式。方法:数据来自Truven(现为IBM) MarketScan和Optum Clinformatics数据库。如果患者有≥1项SC tocilizumab的药房索赔并符合其他纳入标准,则纳入患者。报告了连续变量的平均值、标准差和中位数,报告了分类变量的频率。Kaplan-Meier分析法用于首次剂量修饰的时间分析。Logistic回归模型用于确定剂量调整可能性的预测因子。结果:该研究包括Truven数据库中的1266名患者和Optum数据库中的512名患者,这些患者拥有商业或医疗保险优势或补充保险。在开始接受双周SC tocilizumab治疗的患者中(Truven和Optum数据库中各占48%),Truven中37%和Optum中40%的患者剂量增加到每周剂量。在那些开始每周注射托珠单抗的患者中(Truven数据库为43%,Optum数据库为49%),3% (Truven)和4% (Optum)的剂量减少。其余患者开始使用替代的SC tocilizumab剂量。总体而言,Truven和Optum队列中分别有60%和68%的患者开始或升级到更高的周剂量tocilizumab;剂量增加的平均时间分别为126天和112天。在Truven队列中,皮质类固醇的使用、年龄和贫血是剂量增加的主要预测因素。在Optum队列中,与男性患者相比,女性患者剂量递增的几率增加。结论:在本研究中观察到的剂量趋势表明,医生已经采取了增加SC tocilizumab剂量的选择,但只有少数供应商选择减少剂量。这种剂量调整的趋势可能会增加与SC托珠单抗治疗相关的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
American Health and Drug Benefits
American Health and Drug Benefits Medicine-Health Policy
CiteScore
2.90
自引率
0.00%
发文量
4
期刊介绍: AHDB welcomes articles on clinical-, policy-, and business-related topics relevant to the integration of the forces in healthcare that affect the cost and quality of healthcare delivery, improve healthcare quality, and ultimately result in access to care, focusing on health organization structures and processes, health information, health policies, health and behavioral economics, as well as health technologies, products, and patient behaviors relevant to value-based quality of care.
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