Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
MyDNA Life, Australia Limited, South Yarra.
Pharmacogenet Genomics. 2020 Sep;30(7):145-152. doi: 10.1097/FPC.0000000000000406.
To describe the usage patterns of antidepressants with published CYP2D6- and CYP2C19-based prescribing guidelines among depressed primary care patients and estimate the proportion of patients taking antidepressants not recommended for them based on their CYP2C19 and CYP2D6 genotype-predicted metabolizer status.
Medication use and pharmacogenetic testing results were collected on 128 primary care patients enrolled in a 10-year depression cohort study. At each 12-month interval, we calculated the proportion of patients that: (1) reported use of one or more of the 13 antidepressant medications (i.e. amitriptyline, citalopram, escitalopram, clomipramine, desipramine, doxepin, fluvoxamine, imipramine, nortriptyline, paroxetine, sertraline, trimipramine, venlafaxine) with published CYP2D6- and CYP2C19-based prescribing guidelines, (2) were taking an antidepressant that was not recommended for them based on their CYP2C19 and CYP2D6 genotype-predicted metabolizer phenotype, and (3) switched medications from the previous 12-month interval.
The annual proportion of individuals taking an antidepressant with a CYP2D6- and CYP2C19-based prescribing guidelines ranged from 45 to 84%. The proportion of participants that used an antidepressant that was not recommended for them, based on available CYP2D6 and CYP2C19 metabolizer phenotype, ranged from 18 to 29% and these individuals tended to switch medications more frequently (10%) compared to their counterparts taking medication aligned with their metabolizer phenotype (6%).
One-quarter of primary care patients used an antidepressant that was not recommended for them based on CYP2D6- and CYP2C19-based prescribing guidelines and switching medications tended to be more common in this group. Studies to determine the impact of CYP2D6 and CYP2C19 genotyping on reducing gene-antidepressant mismatches are warranted.
描述遵循 CYP2D6 和 CYP2C19 指导原则的抗抑郁药物在抑郁初级保健患者中的使用模式,并根据 CYP2C19 和 CYP2D6 基因型预测的代谢物状态估计不建议患者使用的抗抑郁药物的比例。
对参加为期 10 年的抑郁队列研究的 128 名初级保健患者进行了药物使用和药物遗传学检测结果的收集。在每 12 个月的间隔内,我们计算了以下患者的比例:(1)报告使用了一种或多种具有 CYP2D6 和 CYP2C19 指导原则的 13 种抗抑郁药(即阿米替林、西酞普兰、艾司西酞普兰、氯米帕明、去甲替林、多塞平、氟伏沙明、丙咪嗪、去甲丙咪嗪、帕罗西汀、舍曲林、曲米帕明、文拉法辛),(2)服用了不建议根据 CYP2C19 和 CYP2D6 基因型预测的代谢物表型使用的抗抑郁药,以及(3)在上一个 12 个月间隔内更换了药物。
每年服用 CYP2D6 和 CYP2C19 指导原则的抗抑郁药的个体比例为 45%至 84%。根据可用的 CYP2D6 和 CYP2C19 代谢物表型,有 18%至 29%的参与者使用了不建议使用的抗抑郁药,这些人比使用与代谢物表型一致的药物(6%)更频繁地更换药物(10%)。
四分之一的初级保健患者使用了不建议根据 CYP2D6 和 CYP2C19 指导原则使用的抗抑郁药,而且在这一组中更换药物的倾向更为常见。有必要进行研究以确定 CYP2D6 和 CYP2C19 基因分型对抗抑郁药物基因匹配的影响。