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疑似和早期精神病的主要症状治疗目标:网络分析的新见解。

Main Symptomatic Treatment Targets in Suspected and Early Psychosis: New Insights From Network Analysis.

机构信息

Department of Psychiatry, School of Medicine University of Valladolid, Valladolid, Spain.

Department of Psychiatry and Psychotherapy, Medical Faculty Heinrich-Heine University, Düsseldorf, Germany.

出版信息

Schizophr Bull. 2020 Jul 8;46(4):884-895. doi: 10.1093/schbul/sbz140.

Abstract

The early detection and intervention in psychoses prior to their first episode are presently based on the symptomatic ultra-high-risk and the basic symptom criteria. Current models of symptom development assume that basic symptoms develop first, followed by attenuated and, finally, frank psychotic symptoms, though interrelations of these symptoms are yet unknown. Therefore, we studied for the first time their interrelations using a network approach in 460 patients of an early detection service (mean age = 26.3 y, SD = 6.4; 65% male; n = 203 clinical high-risk [CHR], n = 153 first-episode psychosis, and n = 104 depression). Basic, attenuated, and frank psychotic symptoms were assessed using the Schizophrenia Proneness Instrument, Adult version (SPI-A), the Structured Interview for Psychosis-Risk Syndromes (SIPS), and the Positive And Negative Syndrome Scale (PANSS). Using the R package qgraph, network analysis of the altogether 86 symptoms revealed a single dense network of highly interrelated symptoms with 5 discernible symptom subgroups. Disorganized communication was the most central symptom, followed by delusions and hallucinations. In line with current models of symptom development, the network was distinguished by symptom severity running from SPI-A via SIPS to PANSS assessments. This suggests that positive symptoms developed from cognitive and perceptual disturbances included basic symptom criteria. Possibly conveying important insight for clinical practice, central symptoms, and symptoms "bridging" the association between symptom subgroups may be regarded as the main treatment targets, in order to prevent symptomatology from spreading or increasing across the whole network.

摘要

目前,在首次发作之前对精神病进行早期检测和干预是基于症状超高危和基本症状标准。当前的症状发展模型假设基本症状首先出现,其次是减弱,最后是明显的精神病症状,尽管这些症状之间的相互关系尚不清楚。因此,我们首次使用网络方法在早期发现服务中的 460 名患者中研究了这些症状之间的相互关系(平均年龄 26.3 岁,标准差 6.4;65%男性;n=203 临床高风险[CHR],n=153 首发精神病,n=104 抑郁症)。使用精神分裂症易感性量表,成人版(SPI-A)、精神病风险综合征结构化访谈(SIPS)和阳性和阴性综合征量表(PANSS)评估基本、减弱和明显的精神病症状。使用 R 包 qgraph,对总共 86 个症状的网络分析揭示了一个高度相互关联的症状的单一密集网络,有 5 个可识别的症状亚组。紊乱的交流是最核心的症状,其次是妄想和幻觉。与当前的症状发展模型一致,网络的特点是从 SPI-A 通过 SIPS 到 PANSS 评估的症状严重程度。这表明阳性症状是从包括基本症状标准的认知和知觉障碍发展而来的。核心症状和“连接”症状亚组之间关联的症状可能被视为主要的治疗目标,这可能为临床实践提供重要的见解,以防止症状在整个网络中传播或增加。

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