Center for Pharmacoepidemiology Research and Training, Center for Clinical Epidemiology and Biostatistics, University of Pennsylvania, Philadelphia, PA, USA.
Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
CNS Drugs. 2022 Apr;36(4):389-400. doi: 10.1007/s40263-022-00909-1. Epub 2022 Mar 6.
Use of muscle relaxants is rapidly increasing in the USA. Little is understood about the role of drug interactions in the known association between muscle relaxants and unintentional traumatic injury, a clinically important endpoint causing substantial morbidity, disability, and death.
We examined potential associations between concomitant drugs (i.e., precipitants) taken with muscle relaxants (affected drugs, i.e., objects) and hospital presentation for unintentional traumatic injury.
In a series of self-controlled case series studies, we screened to identify drug interaction signals for muscle relaxant + precipitant pairs and unintentional traumatic injury. We used Optum's de-identified Clinformatics Data Mart Database, 2000-2019. We included new users of a muscle relaxant, aged 16-90 years, who were dispensed at least one precipitant drug and experienced an unintentional traumatic injury during the observation period. We classified each observation day as precipitant exposed or precipitant unexposed. The outcome was an emergency department or inpatient discharge diagnosis for unintentional traumatic injury. We used conditional Poisson regression to estimate rate ratios adjusting for time-varying confounders and then accounted for multiple estimation via semi-Bayes shrinkage.
We identified 74,657 people who initiated muscle relaxants and experienced an unintentional traumatic injury, in whom we studied concomitant use of 2543 muscle relaxant + precipitant pairs. After adjusting for time-varying confounders, 16 (0.6%) pairs were statistically significantly and positively associated with injury, and therefore deemed signals of a potential drug interaction. Among signals, semi-Bayes shrunk, confounder-adjusted rate ratios ranged from 1.29 (95% confidence interval 1.04-1.62) for baclofen + sertraline to 2.28 (95% confidence interval 1.14-4.55) for methocarbamol + lamotrigine.
Using real-world data, we identified several new signals of potential muscle relaxant drug interactions associated with unintentional traumatic injury. Only one among 16 signals is currently reported in a major drug interaction knowledge base. Future studies should seek to confirm or refute these signals.
肌肉松弛剂在美国的使用正在迅速增加。对于药物相互作用在已知的肌肉松弛剂与非故意创伤性损伤之间的关联中所起的作用,人们知之甚少,这是一个具有重要临床意义的终点,会导致大量的发病率、残疾和死亡。
我们研究了同时使用的药物(即促发剂)与肌肉松弛剂(受影响的药物,即对象)和非故意创伤性损伤就诊之间的潜在关联。
在一系列的自我对照病例系列研究中,我们筛选了肌肉松弛剂+促发剂与非故意创伤性损伤的药物相互作用信号。我们使用了 Optum 的去识别 Clinformatics Data Mart 数据库,时间范围为 2000 年至 2019 年。我们纳入了新使用肌肉松弛剂的患者,年龄在 16-90 岁之间,在观察期间至少使用了一种促发剂药物,并经历了非故意创伤性损伤。我们将每个观察日分为促发剂暴露或促发剂未暴露。结果是急诊科或住院患者因非故意创伤性损伤而出院的诊断。我们使用条件泊松回归估计调整时间变化混杂因素后的率比,然后通过半贝叶斯收缩法考虑多次估计。
我们确定了 74657 名开始使用肌肉松弛剂并经历非故意创伤性损伤的患者,在这些患者中,我们研究了 2543 对肌肉松弛剂+促发剂的同时使用。在调整了时间变化的混杂因素后,有 16 对(0.6%)的药物对损伤具有统计学意义上的正相关,因此被认为是潜在药物相互作用的信号。在这些信号中,经半贝叶斯收缩调整混杂因素后的率比范围从巴氯芬+舍曲林的 1.29(95%置信区间 1.04-1.62)到甲琥胺+拉莫三嗪的 2.28(95%置信区间 1.14-4.55)。
使用真实世界的数据,我们发现了一些新的与非故意创伤性损伤相关的潜在肌肉松弛剂药物相互作用的信号。在一个主要的药物相互作用知识库中,目前仅报告了 16 个信号中的一个。未来的研究应该旨在证实或反驳这些信号。