Biological predictors of success of antidepressant drug therapy.

Psychiatric developments Pub Date : 1987-01-01
E Fähndrich
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Abstract

The predictive value of patients' characteristics with regard to subsequent success of antidepressant therapy was investigated in a prospective study. Starting from the amine-deficiency hypotheses the sample was randomized and 30 patients were treated with maprotiline, 30 with clomipramine. Sociodemographic data, data about the immediate history of the illness and also most of the psychopathological symptoms before the start of treatment have no predictive capacity. Predictors of a subsequent response to clomipramine proved to be: positive reaction to sleep deprivation, decrease in MAO activity as a result of sleep deprivation, absence of signs of fatigue in the EEG after the first infusion, a serum concentration of at least 75 ng clomipramine/ml serum or 30 ng desmethyl-clomipramine/ml serum on the 7th day of treatment. A negative response to sleep deprivation, an increase in MAO activity as a result of sleep deprivation, the appearance of signs of fatigue (vigilance index) in the EEG after the first infusion as well as obvious autonomic symptoms before the start of treatment are indicative of a response to maprotiline. Diurnal variations of mood point rather to a general responsiveness to antidepressants without preference for a particular antidepressant. The results of this study provide theoretical reasons why unchangeable characteristics of patients, so-called 'static variables', can be of only slight predictive value. In contrast, changeable characteristics, so-called 'dynamic variables', such as reaction to sleep deprivation, EEG changes resulting from the first infusion, etc., could be of predictive value.

抗抑郁药物治疗成功的生物学预测因素。
在一项前瞻性研究中,研究了患者特征对抗抑郁治疗后续成功的预测价值。从胺缺乏假说出发,随机抽取样本,30例患者用马普替林治疗,30例用氯丙咪嗪治疗。社会人口统计数据,关于疾病的近期病史的数据以及治疗开始前的大多数精神病理症状都没有预测能力。情绪的昼夜变化表明对抗抑郁药有普遍的反应,而不是偏爱某一种抗抑郁药。这项研究的结果提供了理论上的原因,为什么不可改变的特征,即所谓的“静态变量”,只能有轻微的预测价值。相比之下,变化的特征,即所谓的“动态变量”,如对睡眠剥夺的反应、第一次输液引起的脑电图变化等,可能具有预测价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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