重度抑郁症患者对三环类抗抑郁药物反应的预测因素。

C Popescu, R Ionescu, I Jipescu
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引用次数: 0

摘要

在一个相对年轻的108例患有重度抑郁症和至少中度重度抑郁症的非双相患者样本中,通过单变量和多变量分析,研究了一套全面的社会人口学、心理社会、临床和人格特征变量对预测短期、多维评估三环抗抑郁药反应的贡献。有一项没有标准治疗方案的自然研究,但控制了治疗类型、持续时间和剂量。只有接受至少中等剂量的三环类抗抑郁药至少4周的患者被纳入本研究。出现了数量相对较少的预测因子。症状和功能损害的初始严重程度是所有结果标准的最有力预测因素。病史也有相关性。在情感和人际层面上反映脆弱人格风格的人格特质证明了其预测价值。通过多变量回归分析组合自变量,提高了对治疗反应的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictors of the response to tricyclic antidepressants in major depression.

In a relatively young sample of 108 nonbipolar patients with major depressive disorder and at least moderately severe depression, the contribution of a comprehensive set of socio-demographic, psychosocial, clinical and personality trait variables toward the prediction of short-term, multidimensionally evaluated response to tricyclic antidepressants was investigated by univariate and multivariate analyses. There is a naturalistic study without a standard treatment protocol, but treatment type, duration and dosage were controlled. Only patients who received at least moderate dosages of tricyclic antidepressants for minimum four weeks were included in this study. A relatively low number of predictors emerged. Initial severity of both symptoms and impairment of functioning were the most powerful predictors for all outcome criteria. Illness history was also relevant. Personality traits reflecting vulnerable personality style at the emotional and interpersonal level proved their predictive value. The combination of independent variables by multivariate regression analyses improve the prediction of treatment response.

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