Suppr超能文献

多发性硬化症中口服疾病修正药物的依从性轨迹比较。

Comparative adherence trajectories of oral disease-modifying agents in multiple sclerosis.

机构信息

Department of Pharmaceutical Health Outcomes and Policy, College of Pharmacy, University of Houston, Houston, Texas, USA.

Baylor College of Medicine, Houston, Texas, USA.

出版信息

Pharmacotherapy. 2023 Jun;43(6):473-484. doi: 10.1002/phar.2810. Epub 2023 May 22.

Abstract

STUDY OBJECTIVE

This study compared the adherence trajectories of fingolimod (FIN), teriflunomide (TER), and dimethyl fumarate (DMF) users with multiple sclerosis (MS) as there is limited evidence regarding the comparative adherence patterns of different oral disease-modifying agents (DMAs).

DESIGN

A retrospective cohort study DATA SOURCE: 2015-2019 IBM MarketScan Commercial Claims Database.

PATIENTS

Adults (≥18 years) with MS (International Classification of Diseases [ICD]-9/10-Clinical Modification [CM]:340/G35) diagnosis and ≥1 DMA prescription.

INTERVENTION

Incident FIN-, TER-, or DMF use based on the index DMA with 1 year of washout period.

MEASUREMENTS

The DMA adherence trajectories based on the proportion of days covered (PDC) were examined using the Group-Based Trajectory Modeling (GBTM) one year after the treatment initiation. Generalized boosting models (GBM)-based inverse probability treatment weights (IPTW) were incorporated in multinomial logistic regression to assess the comparative adherence trajectories across oral DMAs with FIN group as a reference category.

MEASUREMENTS AND MAIN RESULTS

The study cohort consisted of 1913 patients with MS who were initiated with FIN (24.2%, n = 462), TER (24.0%, n = 458), and DMF (51.9%, n = 993) during 2016-2018. The adherence rate (PDC ≥ 0.8) among FIN, TER, and DMF users was found to be 70.8% (n = 327), 59.6% (n = 273), and 61.0% (n = 606), respectively. The GBTM grouped patients into three adherence trajectories: Complete Adherers-59.1%, Slow Decliners-22.6%, and Rapid Discontinuers-18.3%. The multinomial logistic regression model involving GBM-based IPTW revealed that DMF (adjusted odds ratio [aOR]: 2.32, 95% confidence interval [CI]:1.57-3.42) and TER (aOR: 2.50, 95% CI: 1.62-3.88) users had higher odds to be rapid discontinuers relative to FIN users. In addition, TER users were more likely (aOR: 1.50, 95% CI: 1.06-2.13) to be slow decliners compared with FIN users.

CONCLUSION

Teriflunomide and DMF were associated with poorer adherence trajectories than FIN. More research is needed to evaluate the clinical implications of these adherence trajectories of oral DMAs to optimize the management of MS.

摘要

研究目的

本研究比较了多发性硬化症(MS)患者中使用芬戈莫德(FIN)、特立氟胺(TER)和富马酸二甲酯(DMF)的患者的依从轨迹,因为关于不同口服疾病修正治疗药物(DMA)的比较依从模式的证据有限。

设计

回顾性队列研究

数据来源

2015-2019 年 IBM MarketScan 商业索赔数据库。

患者

年龄≥18 岁(≥18 岁)的 MS(国际疾病分类[ICD]-9/10-临床修正[CM]:340/G35)诊断和≥1 种 DMA 处方。

干预

基于索引 DMA 的 FIN、TER 或 DMF 的新发病例使用,1 年洗脱期。

测量

使用基于覆盖率比例(PDC)的群组轨迹建模(GBTM)在治疗开始后一年检查 DMA 依从轨迹。广义增强模型(GBM)基于逆概率治疗权重(IPTW)的纳入在多项逻辑回归中用于评估口服 DMA 之间的比较依从轨迹,其中 FIN 组作为参考类别。

测量和主要结果

该研究队列包括 2016-2018 年期间接受 FIN(24.2%,n=462)、TER(24.0%,n=458)和 DMF(51.9%,n=993)治疗的 1913 名 MS 患者。FIN、TER 和 DMF 使用者的依从率(PDC≥0.8)分别为 70.8%(n=327)、59.6%(n=273)和 61.0%(n=606)。GBTM 将患者分为三种依从轨迹:完全依从者-59.1%、缓慢下降者-22.6%和快速中断者-18.3%。涉及 GBM 基于 IPTW 的多项逻辑回归模型表明,DMF(调整后的优势比[aOR]:2.32,95%置信区间[CI]:1.57-3.42)和 TER(aOR:2.50,95% CI:1.62-3.88)使用者相对于 FIN 使用者更有可能成为快速中断者。此外,与 FIN 使用者相比,TER 使用者更有可能(aOR:1.50,95% CI:1.06-2.13)成为缓慢下降者。

结论

特立氟胺和 DMF 与 FIN 相比,依从轨迹较差。需要进一步研究以评估这些口服 DMA 的依从轨迹对 MS 管理的临床意义,以优化 MS 的管理。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验