Dylan L Kosaski, Kristin C Cole, Jessica A Wright, Razan M El Melik, Simon Kung, Wayne T Nicholson, Jonathan G Leung
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引用次数: 0
Abstract
Introduction: Although there are studies assessing reasons for antidepressant discontinuation, little is known about the impact of sex differences or cytochrome P450 phenotypes. Our objective is to assess discontinuation rates between males and females and whether CYP450 phenotype influences discontinuation.
Methods: This is a retrospective review of patients previously enrolled in the Right Drug, Right Dose, Right Time: Using Genomic Data to Individualize Treatment database with major depressive disorder. Patients were evaluated for antidepressants trialed between January 1, 2009, and September 30, 2019. Survival analyses with competing risks were used to analyze discontinuation reasons. A Kaplan-Meier estimation method was used to assess the time to discontinuation and discontinuation rates. Analyses were also completed to assess discontinuation between men and women by phenotypic groups. All tests were two-sided, and p-values ≤ .05 were considered statistically significant.
Results: There were 620 antidepressant discontinuation events discovered from 1015 antidepressant trials included. Overall, the median time to discontinuation for males was 2.6 years and 1.9 years for females (hazard ratio [HR] 0.97 [95% confidence interval (CI): 0.80, 1.19], p = .77). The risk of discontinuation was not different between males and females in any of the phenotype groups, which was consistent in the multivariable analyses. Concomitant use of medications that inhibited or induced antidepressant metabolism increased the overall risk of discontinuation (HR 1.45, 95% CI [1.06, 1.99], p = .020) in a time-dependent analysis.
Discussion: We did not detect a significant difference in risk of antidepressant discontinuation rates between males and females even when accounting for cytochrome P450 phenotype. Future studies should account for whether medications that inhibit or induce antidepressant metabolism may be a crucial factor in antidepressant discontinuation.
虽然有研究评估抗抑郁药停药的原因,但对性别差异或细胞色素P450表型的影响知之甚少。我们的目的是评估男性和女性之间的停药率,以及CYP450表型是否影响停药。方法:这是一项回顾性研究,回顾了之前在“正确的药物,正确的剂量,正确的时间:使用基因组数据来个体化治疗重度抑郁症数据库”中登记的患者。在2009年1月1日至2019年9月30日期间,对患者进行抗抑郁药物试验评估。采用竞争风险生存分析分析停药原因。采用Kaplan-Meier估计法评估停药时间和停药率。根据表型组,还完成了对男性和女性停药情况的分析。所有检验均为双侧检验,p值≤。0.05认为有统计学意义。结果:在1015项抗抑郁药物试验中发现了620例抗抑郁药物停药事件。总体而言,男性停药的中位时间为2.6年,女性停药的中位时间为1.9年(风险比[HR] 0.97[95%可信区间(CI): 0.80, 1.19], p = 0.77)。在任何表型组中,停药的风险在男性和女性之间没有差异,这在多变量分析中是一致的。在时间依赖性分析中,同时使用抑制或诱导抗抑郁代谢的药物会增加停药的总风险(HR 1.45, 95% CI [1.06, 1.99], p = 0.020)。讨论:即使考虑到细胞色素P450表型,我们也没有发现男性和女性之间抗抑郁药停药率的显著差异。未来的研究应该考虑抑制或诱导抗抑郁代谢的药物是否可能是抗抑郁药物停药的关键因素。