Sangal R Bart, Sangal Joanne M
Attention Disorders Institute, 44199 Dequindre, Ste. 311, Troy, MI 48085, USA.
Clin Neurophysiol. 2006 Sep;117(9):1996-2006. doi: 10.1016/j.clinph.2006.06.004. Epub 2006 Aug 4.
To evaluate the use of P300 in predicting treatment response to medicines in patients with Attention-Deficit/Hyperactivity Disorder (ADHD), and to confirm previous reports that 31-electrode mean auditory P300 amplitude (AA) predicts response to atomoxetine; and right fronto-central to parietal AA ratio predicts response to methylphenidate.
Efficacy and P300 data from 58 children with ADHD enrolled in a double-blind crossover study using atomoxetine and methylphenidate were analyzed. Robust response was defined as 60% decrease from baseline in the ADHD rating scale. Response was alternately defined as greater than 50% decrease.
Pre-treatment mean 31-electrode AA>6.8 microV predicted response to atomoxetine using both definitions of response. Right fronto-central to parietal AA ratio did not predict response to methylphenidate. A previous report that methylphenidate responders differed from non-responders in pre-treatment AA at T8 was confirmed, and AA at T8>7.65 microV predicted response to methylphenidate. 31-electrode mean P300 visual latency (VL) also predicted response to atomoxetine, as previously reported with imipramine.
Mean AA predicts response to atomoxetine in ADHD patients. AA at T8 predicts response to methylphenidate. Such predictive tools may allow individually tailored choice of medicine in treatment of ADHD.
This allows a more informed decision of which medicine to use for a given patient.
评估P300在预测注意缺陷多动障碍(ADHD)患者药物治疗反应中的应用,并证实先前的报道,即31电极平均听觉P300波幅(AA)可预测对托莫西汀的反应;右额中央至顶叶AA比值可预测对哌甲酯的反应。
分析了58例参加使用托莫西汀和哌甲酯的双盲交叉研究的ADHD儿童的疗效和P300数据。强效反应定义为ADHD评定量表评分较基线下降60%。反应也可交替定义为下降超过50%。
使用两种反应定义,治疗前31电极平均AA>6.8微伏可预测对托莫西汀的反应。右额中央至顶叶AA比值不能预测对哌甲酯的反应。先前关于哌甲酯反应者与无反应者在T8点治疗前AA不同的报道得到证实,且T8点AA>7.65微伏可预测对哌甲酯的反应。31电极平均P300视觉潜伏期(VL)也可预测对托莫西汀的反应,如先前关于丙咪嗪的报道。
平均AA可预测ADHD患者对托莫西汀的反应。T8点的AA可预测对哌甲酯的反应。此类预测工具可使ADHD治疗中药物的选择更具个性化。
这使得对于特定患者使用哪种药物能做出更明智的决策。