Zaĭtsev S G, Prokhorova I S, Mikeshina N G, Gromova V V
Zh Nevropatol Psikhiatr Im S S Korsakova. 1983;83(8):1198-1205.
The problem of efficacy prediction for psychopharmacotherapy of depressions is of considerable interest and urgency in view of frequently occurring resistance to antidepressants. The purpose of the present study was to study the feasibility of predicting the effectiveness of depression therapy in manic-depressive psychosis (MDP), based on the cross-sectional analysis of the patient's history (the clinical picture of the patient's condition prior to therapy) with the help of multivariate statistics. Eighty-two patients suffering from MDP with a variety of depressive states were examined. In addition to traditional descriptions, the clinical findings were documented by employing a system of standard evaluation scales. The data obtained were processed using the technique of multiple stepwise discriminant analysis. The latter resulted in the derivation of a mathematical prognostic formula allowing the prediction of tricyclic antidepressants efficacy.
鉴于抗抑郁药耐药性频繁出现，抑郁症心理药物治疗的疗效预测问题备受关注且十分紧迫。本研究的目的是借助多变量统计，通过对患者病史（治疗前患者病情的临床表现）进行横断面分析，研究预测躁郁症（MDP）抑郁症治疗效果的可行性。对82例患有各种抑郁状态的躁郁症患者进行了检查。除了传统描述外，还采用标准评估量表系统记录临床发现。使用多元逐步判别分析技术对获得的数据进行处理。后者得出了一个数学预后公式，可用于预测三环类抗抑郁药的疗效。
