Gueorguieva Ralitza, Mallinckrodt Craig, Krystal John H
Division of Biostatistics, School of Public Health, Yale University School of Medicine, New Haven, CT 06520-8034, USA.
Arch Gen Psychiatry. 2011 Dec;68(12):1227-37. doi: 10.1001/archgenpsychiatry.2011.132.
The high percentage of failed clinical trials in depression may be due to high placebo response rates and the failure of standard statistical approaches to capture heterogeneity in treatment response.
To assess whether growth mixture modeling can provide insights into antidepressant and placebo responses in clinical trials of patients with major depression.
We reanalyzed clinical trials of duloxetine to identify distinct trajectories of Hamilton Scale for Depression (HAM-D) scores during treatment. We analyzed the trajectories in the entire sample and then separately in all active arms and in all placebo arms. Effects of duloxetine hydrochloride, selective serotonin reuptake inhibitor (SSRI), and covariates on the probability of following a particular trajectory were assessed. Outcomes in different trajectories were compared using mixed-effects models.
Seven randomized double-blind clinical trials of duloxetine vs placebo and comparator SSRI. Patients A total of 2515 patients with major depression.
Duloxetine and comparator SSRI. Main Outcome Measure Total score on the HAM-D.
In the entire sample and in the antidepressant-treated subsample, we identified trajectories of responders (76.3% of the sample) and nonresponders (23.7% of the sample). However, placebo-treated patients were characterized by a single response trajectory. Duloxetine and SSRI did not differ in efficacy, and compared with placebo they significantly decreased the odds of following the nonresponder trajectory. Antidepressant responders had significantly better HAM-D scores over time than placebo-treated patients, but antidepressant nonresponders had significantly worse HAM-D scores over time than the placebo-treated patients.
Most patients treated with serotonergic antidepressants showed a clinical trajectory over time that is superior to that of placebo-treated patients. However, some patients receiving these medications did more poorly than patients receiving placebo. These data highlight the importance of ongoing monitoring of medication risks and benefits during serotonergic antidepressant treatment. They should further stimulate the search for biomarkers or other predictors of responder status in guiding antidepressant treatment.
抑郁症临床试验的高失败率可能是由于安慰剂反应率高以及标准统计方法未能捕捉到治疗反应的异质性。
评估生长混合模型是否能为重度抑郁症患者临床试验中的抗抑郁药和安慰剂反应提供见解。
我们重新分析了度洛西汀的临床试验,以确定治疗期间汉密尔顿抑郁量表(HAM-D)评分的不同轨迹。我们在整个样本中分析这些轨迹,然后分别在所有活性治疗组和所有安慰剂组中进行分析。评估了盐酸度洛西汀、选择性5-羟色胺再摄取抑制剂(SSRI)和协变量对遵循特定轨迹概率的影响。使用混合效应模型比较不同轨迹的结果。
七项度洛西汀与安慰剂及对照SSRI的随机双盲临床试验。患者:共有2515名重度抑郁症患者。
度洛西汀和对照SSRI。主要结局指标:HAM-D总分。
在整个样本和抗抑郁药治疗的子样本中,我们确定了反应者(占样本的76.3%)和无反应者(占样本的23.7%)的轨迹。然而,接受安慰剂治疗的患者具有单一的反应轨迹。度洛西汀和SSRI在疗效上没有差异,与安慰剂相比,它们显著降低了遵循无反应者轨迹的几率。随着时间的推移,抗抑郁药反应者的HAM-D评分明显优于接受安慰剂治疗的患者,但抗抑郁药无反应者的HAM-D评分随着时间的推移明显差于接受安慰剂治疗的患者。
大多数接受血清素能抗抑郁药治疗的患者随着时间的推移显示出优于接受安慰剂治疗患者的临床轨迹。然而,一些接受这些药物治疗的患者比接受安慰剂治疗的患者情况更差。这些数据强调了在血清素能抗抑郁药治疗期间持续监测药物风险和益处的重要性。它们应进一步激发在指导抗抑郁药治疗中寻找生物标志物或其他反应者状态预测指标的研究。