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Network analysis of psychotic manifestations among cocaine users.
Journal of Psychiatric Research ( IF 4.8 ) Pub Date : 2020-08-20 , DOI: 10.1016/j.jpsychires.2020.08.020
Emily Karsinti 1 , Marion Labaeye 2 , Kristel Piani 2 , Maeva Fortias 3 , Georges Brousse 4 , Vanessa Bloch 3 , Lucia Romo 5 , Florence Vorspan 6
Affiliation  

Psychotic experiences can be described along a continuum ranging from no psychotic experience at all, to clinical psychotic disorder. Any individual in the general population may encounter psychotic experiences under certain circumstances. Transient Cocaine Induced Psychotic Symptoms (TCIPS) are a well described model of such circumstances.

Therefore, our aim was to use a network analysis to get a better knowledge on the architecture of previously described risk factors and how they contributed to two different measures of psychosis (psychosis proneness and transient cocaine induced psychotic symptoms)

This study is a secondary analysis conducted among 180 cocaine users in addiction care centers in Paris and Paris suburb, who were evaluated with the PDI (Peters Delusion Inventory) and the SAPS-CIP (Scale for the Assessment of Psychotic Symptoms – Cocaine Induced Psychosis). Schizophrenia diagnosis was extracted from medical record. Relevant variables significantly associated with SAPS-CIP total score or PDI at the first step were included in a network analysis to better figurate their respective associations.

The network centrality measures showed that the product preferentially used (crack vs cocaine) was related to TCIPS, psychosis proneness and, to a lesser extent, schizophrenia. Secondly, in this model TCIPS is a mediator between intensive cocaine use and psychosis proneness. Thirdly, this study refines the previous knowledge on heavy cannabis use being a risk factor for TCIPS. The observed link is not direct but mediated by psychosis proneness.



中文翻译:

可卡因使用者精神病表现的网络分析。

精神病的经历可以描述为从根本没有精神病经历到临床精神病的连续性。一般人群中的任何人在某些情况下都可能会遇到精神病的经历。可卡因引起的短暂性精神病症状(TCIPS)是此类情况的详尽描述模型。

因此,我们的目的是使用网络分析来更好地了解先前描述的风险因素的架构以及它们如何导致两种不同的精神病测量(精神病倾向和可卡因短暂性精神病症状)。

这项研究是对巴黎和巴黎郊区成瘾护理中心的180名可卡因使用者进行的二级分析,他们通过PDI(彼得斯妄想量表)和SAPS-CIP(精神病症状评估量表-可卡因诱发的精神病)进行了评估。精神分裂症的诊断是从病历中提取的。第一步,将与SAPS-CIP总分或PDI显着相关的相关变量包括在网络分析中,以更好地确定它们各自的关联。

网络集中度指标显示,优先使用的产品(裂纹或可卡因)与TCIPS,精神病倾向性以及较小程度的精神分裂症有关。其次,在该模型中,TCIPS是可卡因大量使用与精神病倾向之间的中介。第三,本研究完善了有关使用重度大麻作为TCIPS危险因素的先前知识。观察到的联系不是直接的,而是由精神病倾向介导的。

更新日期:2020-08-29
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