胰高血糖素样肽 1 受体激动剂与哮喘加重:哪些患者受益最大?

Tiansheng Wang, Alexander P Keil, John B Buse, Corinne Keet, Siyeon Kim, Richard Wyss, Virginia Pate, Michele Jonsson-Funk, Richard E Pratley, Kajsa Kvist, Michael R Kosorok, Til Stürmer
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引用次数: 0

摘要

理由:虽然最近的证据表明胰高血糖素样肽 1 受体激动剂(GLP1RA)可降低哮喘加重的风险,但目前仍不清楚哪些亚人群可从 GLP1RA 治疗中获益最多:目的:利用真实世界的数据确定哮喘患者的特征,以预测哪些患者可能从 GLP1RA 治疗中获益最多:我们使用 Marketscan 2007-2019 年数据中 18-65 岁的商业保险患者进行了主动比较、新用户设计分析,并确定了两个队列:GLP1RA 与噻唑烷二酮类药物的比较,以及 GLP1RA 与磺脲类药物的比较。研究结果为用药后 180 天内哮喘急性加重(因哮喘入院或急诊就诊)。我们采用迭代因果森林(iCF)这种新型因果机器学习分组算法来评估 HTE。在确定的亚组中,我们预测了倾向得分,进行了倾向得分修剪,然后在倾向得分修剪后的亚人群中使用反概率治疗加权法估算了GLP1RA相对于比较药对哮喘恶化影响的调整后风险差异(aRD):在10989名开始服用GLP1RA或噻唑烷二酮类药物的患者中,以及17088名开始服用GLP1RA与磺脲类药物的患者中,开始服用GLP1RA的患者哮喘加重的情况较少,aRD分别为-0.5%(95% CI -1.1%至0.1%)和-1.6%(95% CI -2.2%至-1.1%)。在我们观察到有益效果的 GLP1RAvsSUcohort 中,我们的 iCF 分析确定了 5 个具有不同治疗效果的亚组,它们是根据 ED 就诊次数、短效 β2-激动剂(SABA)处方数、吸入类固醇(ICS)和长效 β-激动剂(LABA)(联合治疗或同时使用)处方数以及 50 岁以上来定义的。其中,在12个月的基线期间有2次以上ED就诊的患者的病情恶化绝对风险降低幅度最大,GLP1RA的降低幅度为2.8%(95% CI:-4.8%至-0.9%):结论:与磺脲类药物相比,GLP1RA 在减少哮喘恶化方面具有优势。2次以上急诊就诊的哮喘患者(疾病严重程度的代表)从GLP1RA中获益最多。ED就诊频率、维持性吸入剂和缓解性吸入剂的数量以及年龄可能有助于个性化预测GLP1RA对哮喘加重的短期疗效。
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Glucagon-like Peptide 1 Receptor Agonists and Asthma Exacerbations: Which Patients Benefit Most?

Rationale: Although recent evidence suggested that glucagon-like peptide 1 receptor agonists (GLP1RAs) might reduce the risk of asthma exacerbations, it remains unclear which subpopulations might derive the most benefit from GLP1RA treatment. Objectives: To identify characteristics of patients with asthma that predict who might benefit the most from GLP1RA treatment using real-world data. Methods: We implemented an active-comparator, new-user design analysis using commercially ensured patients 18-65 years of age from MarketScan data for 2007-2019 and identified two cohorts: GLP1RAs versus thiazolidinediones and GLP1RAs versus sulfonylureas. The outcome was acute exacerbation of asthma (hospital admission or emergency department visit for asthma) within 180 days after initiation. We applied iterative causal forest, a novel causal machine learning subgrouping algorithm, to assess heterogeneous treatment effects. In identified subgroups, we predicted propensity score, conducted propensity score trimming, and then estimated adjusted risk differences for the effect of GLP1RAs relative to comparators on asthma exacerbation using inverse probability treatment weighting in the propensity score-trimmed subpopulation. Results: Among 10,989 patients initiating GLP1RAs or thiazolidinediones and 17,088 patients initiating GLP1RAs versus sulfonylurea, GLP1RA initiators had fewer exacerbations, with adjusted risk differences of -0.5% (95% confidence interval [CI], -1.1% to 0.1%) and -1.6% (95% CI, -2.2% to -1.1%), respectively. In the GLP1RA versus sulfonylurea cohort, in which we observed a beneficial effect, our iterative causal forest analysis identified five subgroups with different treatment effects, defined by the number of emergency department visits, the number of prescriptions for short-acting β2-agonists, the number of prescriptions for inhaled steroids and long-acting β-agonists (either combination therapy or concurrent use), and age ≥ 50 years. Among these, patients with two or more emergency department visits during the 12-month baseline period had the largest absolute exacerbation risk reduction, with a decrease of 2.8% for GLP1RAs (95% CI, -4.8% to -0.9%). Conclusions: GLP1RAs demonstrated a beneficial effect on reducing asthma exacerbation relative to sulfonylureas. Patients with asthma with two or more emergency department visits (a proxy for disease severity) benefit most from GLP1RAs. Emergency department visit frequency, the number of maintenance and reliever inhalers, and age might help individualize prediction of the short-term benefit of GLP1RAs on asthma exacerbation.

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