The structure of psychosis revisited: The role of mood symptoms

The structure of psychosis revisited: The role of mood symptoms
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DOI:
10.1016/j.schres.2007.02.017
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发表时间:
2007-07-01
影响因子:
4.5
通讯作者:
Kahn, Rene S.
Kahn, Rene S.
中科院分区:
医学2区
文献类型:
--
作者:
Boks, Marco P. M.;Leask, Stuart;Kahn, Rene S.

文献摘要

被引文献

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精神分裂症表型的异质性通常被认为是遗传学研究的障碍。因此,我们的目标是通过完全数据驱动的分析来确定具有共同症状特征的精神病患者亚组,这可能作为一种替代表型。我们调查了1056例精神病患者的症状。终身症状评分来自于精神病史综合评估(CASH)访谈的当前和终身评分。我们使用潜在类别分析(LCA)来识别具有共同症状特征的患者群。我们分析中的五个指标是在终生症状的因素分析中确定的五个因素中的每一个的症状总数。我们还分析了这些症状维度在以前的LCA中的辨别力。精神病表型的六个聚类划分与早期的LCA分析和遗传关联研究的结果有很大的重叠。研究结果包括精神病中的双相和抑郁亚组,并表明情绪症状是精神病亚组的最佳鉴别因子。区分精神病患者的亚群,特别是那些有主要情绪症状的患者,可以促进精神障碍遗传学的解开。(c)2007 Elsevier B.V.保留所有权利。
The heterogeneity of the schizophrenia phenotype is often considered an obstacle for genetic research. We therefore aim to identify subgroups of psychosis patients with a shared symptom profile by means of a fully data-driven analysis, which may serve as an alternative phenotype. We investigated the symptoms of 1056 patients that were referred to our hospital with a psychosis. The lifetime symptoms scores were derived from the current and lifetime ratings of the comprehensive assessment of psychiatric history (CASH) interview. We used latent class analysis (LCA) to identify clusters of patients with a shared symptom profile. The five indicators in our analysis were the total number of symptoms present for each of the five factors identified in a factor analysis of lifetime symptoms. We also analysed the discriminating power of these symptom dimensions in previous LCAs. A six-cluster division of psychotic phenotypes showed substantial overlap with earlier LCA analyses and findings from genetic association studies. The results included a bipolar and a depression subgroup in psychosis and showed that mood symptoms are the best discriminators of subgroups of psychosis. The distinction of subgroups of psychosis patients, in particular those with major mood symptoms could facilitate the unravelling of the genetics of psychotic disorders. (c) 2007 Elsevier B.V. All rights reserved.