Gueorguieva Ralitza, Chekroud Adam M, Krystal John H
Department of Biostatistics, School of Public Health, Yale University School of Medicine, New Haven, CT, USA.
Department of Psychology, Yale University, New Haven, CT, USA; Spring Health, New York City, NY, USA; Centre for Outcomes Research and Evaluation, Yale-New Haven Hospital, CT, USA.
Lancet Psychiatry. 2017 Mar;4(3):230-237. doi: 10.1016/S2215-0366(17)30038-X. Epub 2017 Feb 9.
Understanding patterns of relapse in patients who respond to antidepressant treatment can inform strategies for prevention of relapse. We aimed to identify distinct trajectories of depression severity, assess whether similar or different trajectory classes exist for patients who continued or discontinued active treatment, and test whether clinical predictors of trajectory class membership exist using pooled data from clinical trials.
We analysed individual patient data from four double-blind discontinuation clinical trials of duloxetine or fluoxetine versus placebo in major depression from before 2012 (n=1462). We modelled trajectories of relapse up to 26 weeks during double-blind treatment. Trajectories of depression severity, as measured by the Hamilton Depression Rating Scale score, were identified in the entire sample, and separately in groups in which antidepressants had been continued or discontinued, using growth mixture models. Predictors of trajectory class membership were assessed with weighted logistic regression.
We identified similar relapse trajectories and two trajectories of stable depression scores in the normal range on active medication and on placebo. Active treatment significantly lowered the odds of membership in the relapse trajectory (odds ratio 0·47, 95% CI 0·37-0·61), whereas female sex (1·56, 1·23-2·06), shorter length of time with clinical response by 1 week (1·10, 1·06-1·15), and higher Clinical Global Impression score at baseline (1·28, 1·01-1·62) increased the odds. Overall, the protective effect of antidepressant medication relative to placebo on the risk of being classified as a relapser was about 13% (33% vs 46%).
The existence of similar relapse trajectories on active medication and on placebo suggests that there is no specific relapse signature associated with antidepressant discontinuation. Furthermore, continued treatment offers only modest protection against relapse. These data highlight the need to incorporate treatment strategies that prevent relapse as part of the treatment of depression.
National Institutes of Health, the US Department of Veterans Affairs Alcohol Research Center, and National Center for Post-Traumatic Stress Disorder.
了解对抗抑郁治疗有反应的患者的复发模式有助于制定预防复发的策略。我们旨在确定抑郁严重程度的不同轨迹,评估继续或停止积极治疗的患者是否存在相似或不同的轨迹类别,并使用临床试验的汇总数据测试轨迹类别成员的临床预测因素。
我们分析了2012年之前四项度洛西汀或氟西汀与安慰剂治疗重度抑郁症的双盲停药临床试验中的个体患者数据(n = 1462)。我们对双盲治疗期间长达26周的复发轨迹进行了建模。使用生长混合模型在整个样本中以及在继续或停止使用抗抑郁药的组中分别确定以汉密尔顿抑郁量表评分衡量的抑郁严重程度轨迹。通过加权逻辑回归评估轨迹类别成员的预测因素。
我们在活性药物和安慰剂上确定了相似的复发轨迹以及正常范围内稳定抑郁评分的两条轨迹。积极治疗显著降低了进入复发轨迹的几率(优势比0·47,95%可信区间0·37 - 0·61),而女性(1·56,1·23 - 2·06)、临床反应时间缩短1周(1·10,1·06 - 1·15)以及基线时更高的临床总体印象评分(1·28,1·01 - 1·62)增加了几率。总体而言,抗抑郁药物相对于安慰剂对被归类为复发者风险的保护作用约为13%(33%对46%)。
活性药物和安慰剂上存在相似的复发轨迹表明,与停用抗抑郁药无关的特定复发特征不存在。此外,持续治疗对预防复发仅提供适度的保护。这些数据凸显了将预防复发的治疗策略纳入抑郁症治疗的必要性。
美国国立卫生研究院、美国退伍军人事务部酒精研究中心和国家创伤后应激障碍中心。