Fähndrich E
Nervenarzt. 1984 Sep;55(9):477-82.
The reaction to sleep deprivation (SD) and the changes in MAO activity resulting from sleep deprivation were tested on 60 depressive patients as predictors for antidepressant drug treatment. An increase in MAO activity after SD indicates a future response to Maprotiline. A decrease in MAO activity indicates a future response to Clomipramine. An improvement in mood after sleep deprivation is a predictor for a future response to Clomipramine. If this effect of sleep deprivation fails to appear, the future effectiveness of Maprotiline is indicated. An attempt is made to subdivide the predictor variables into two groups: 1. so-called static predictor variables such as sex, diagnosis, age at onset of first illness and other socio-demographic data and 2. dynamic predictor variables such as, for example, reaction to SD, acute reaction to the drug, course of treatment during the initial days, diurnal variations of mood and increase in the serum level during the initial days. It is explained why static variables can have scarcely any predictive value, whereas dynamic variables are more to the point and are, therefore, better suited for making a prognosis of the treatment success with a particular antidepressant.
对60名抑郁症患者进行了睡眠剥夺（SD）反应及睡眠剥夺导致的单胺氧化酶（MAO）活性变化的测试，以此作为抗抑郁药物治疗的预测指标。睡眠剥夺后MAO活性增加表明未来对马普替林有反应。MAO活性降低表明未来对氯米帕明有反应。睡眠剥夺后情绪改善是未来对氯米帕明有反应的预测指标。如果睡眠剥夺的这种效果未出现，则表明马普替林未来有效。试图将预测变量细分为两组：1. 所谓的静态预测变量，如性别、诊断、首次发病年龄及其他社会人口统计学数据；2. 动态预测变量，例如对睡眠剥夺的反应、对药物的急性反应、初始几天的治疗过程、情绪的昼夜变化以及初始几天血清水平的升高。文中解释了为何静态变量几乎没有预测价值，而动态变量更切中要点，因此更适合对特定抗抑郁药物治疗成功进行预后判断。
