UniSA: Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.
Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.
Drug Saf. 2024 Jan;47(1):59-70. doi: 10.1007/s40264-023-01374-5. Epub 2023 Nov 23.
Prior molecular modelling analysis identified several medicines as potential inhibitors of glutathione peroxidase 1 (GPx1) which may contribute to development or progression of chronic obstructive pulmonary disease (COPD). This study investigates 40 medicines (index medicines) for signals of COPD development or progression in a real-world dataset.
Sequence symmetry analysis (SSA) was conducted using a 10% extract of Australian Pharmaceutical Benefits Scheme (PBS) claims data between January 2013 and September 2019. Patients must have been initiated on an index medicine and a medicine for COPD development or progression within 12 months of each other. Sequence ratios were calculated as the number of patients who initiated an index medicine followed by a medicine for COPD development or progression divided by the number who initiated the index medicine second. An adjusted sequence ratio (aSR) was calculated which accounted for changes in prescribing trends. Adverse drug event signals (ADEs) were identified where the aSR lower 95% confidence interval (CI) was greater than 1.
Twenty-one of 40 (53%) index medicines had at least one ADE signal of COPD development or progression. Signals of COPD development, as identified using initiation of tiotropium, were observed for atenolol (aSR 1.32, 95% CI 1.23-1.42) and naproxen (aSR 1.14, 95% CI 1.06-1.23). Several signals of COPD progression were observed, including initiation of fluticasone propionate/salmeterol following initiation of atenolol (aSR 1.44, 95% CI 1.30-1.60) and initiation of aclidinium/formoterol following initiation of naproxen (aSR 2.21, 95% CI 1.34-3.65).
ADE signals were generated for several potential GPx1 inhibitors; however, further validation of signals is required in large well-controlled observational studies.
先前的分子建模分析鉴定出几种药物可能是谷胱甘肽过氧化物酶 1 (GPx1) 的潜在抑制剂,这可能有助于慢性阻塞性肺疾病 (COPD) 的发展或进展。本研究在真实世界的数据集调查了 40 种药物(索引药物)是否与 COPD 发展或进展相关。
使用澳大利亚药品福利计划 (PBS) 索赔数据的 10% 提取数据,于 2013 年 1 月至 2019 年 9 月期间进行序列对称分析 (SSA)。患者必须在索引药物和用于 COPD 发展或进展的药物彼此相隔 12 个月内开始用药。序列比计算为开始索引药物后又开始 COPD 发展或进展药物的患者数除以开始索引药物的患者数。计算了调整后的序列比 (aSR),该比考虑了处方趋势的变化。如果 aSR 的 95%置信区间 (CI) 下限大于 1,则确定药物不良事件信号 (ADE)。
40 种索引药物中有 21 种(53%)至少有一种 COPD 发展或进展的 ADE 信号。使用噻托溴铵的起始作为 COPD 发展的指标,观察到阿替洛尔(aSR 1.32,95%CI 1.23-1.42)和萘普生(aSR 1.14,95%CI 1.06-1.23)的 COPD 发展信号。观察到几种 COPD 进展信号,包括阿替洛尔起始后丙酸氟替卡松/沙美特罗(aSR 1.44,95%CI 1.30-1.60)和萘普生起始后茚达特罗/格隆溴铵(aSR 2.21,95%CI 1.34-3.65)的起始。
针对几种潜在的 GPx1 抑制剂生成了 ADE 信号;然而,需要在大型、对照良好的观察性研究中进一步验证信号。