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抑郁症的亚型,III。忧郁症临床算法的开发及与其他诊断方法的比较。

Sub-typing depression, III. Development of a clinical algorithm for melancholia and comparison with other diagnostic measures.

作者信息

Parker G, Hadzi-Pavlovic D, Hickie I, Brodaty H, Boyce P, Mitchell P, Wilhelm K

机构信息

Mood Disorders Unit, Prince Henry Hospital, NSW, Australia.

出版信息

Psychol Med. 1995 Jul;25(4):833-40. doi: 10.1017/s003329170003508x.

Abstract

We describe the development of a clinical algorithm to differentiate melancholic from non-melancholic depression, using refined sets of 'endogeneity' symptoms together with clinician-rated CORE scores assessing psychomotor disturbance. Assignment by the empirically developed algorithm is contrasted with assignment by DSM-III-R and with several other melancholia sub-typing indices. Both the numbers of 'melancholics' assigned by the several systems and their capacity to distinguish 'melancholics' on clinical, demographic and a biological index test (the DST) varied across the systems with the algorithm being as 'successful' as several systems that include inter-episode and treatment response variables. Analyses provide information on the criteria set developed for DSM-IV definition of 'melancholia'.

摘要

我们描述了一种临床算法的开发,该算法利用一组经过细化的“内源性”症状以及临床医生评定的用于评估精神运动障碍的CORE评分,来区分 melancholic 抑郁和非 melancholic 抑郁。通过实证开发的算法进行的分类与DSM-III-R进行的分类以及其他几种 melancholia 亚型指标进行了对比。几个系统所确定的“melancholics”数量及其在临床、人口统计学和一项生物学指标测试(地塞米松抑制试验)中区分“melancholics”的能力在不同系统中存在差异,该算法与包括发作间期和治疗反应变量的几个系统一样“成功”。分析提供了有关为DSM-IV中“melancholia”定义所制定的标准集的信息。

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