Karsinti Emily, Labaeye Marion, Piani Kristel, Fortias Maeva, Brousse Georges, Bloch Vanessa, Romo Lucia, Vorspan Florence
Assistance Publique Hôpitaux de Paris, Hôpital Fernand Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, 200 rue du Faubourg Saint Denis, Paris, France; INSERM UMR-S 1144, 75006 Paris, Université Paris Descartes, 75006 Paris, Sorbonne Paris Cité, Université Paris Diderot, 75013, Paris, France; Laboratoire CliPsyD, EA4430, Université Paris Nanterre, 200 Avenue de la République, 92001, Cedex Nanterre, France.
Assistance Publique Hôpitaux de Paris, Hôpital Fernand Widal, Département Universitaire de Psychiatrie et de Médecine Addictologique, 200 rue du Faubourg Saint Denis, Paris, France.
J Psychiatr Res. 2020 Nov;130:300-305. doi: 10.1016/j.jpsychires.2020.08.020. Epub 2020 Aug 20.
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.
精神病性体验可以沿着一个连续体来描述,范围从完全没有精神病性体验到临床精神病性障碍。普通人群中的任何个体在某些情况下都可能经历精神病性体验。短暂性可卡因诱发的精神病性症状(TCIPS)就是这种情况的一个被充分描述的模型。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结构,以及它们如何促成两种不同的精神病测量指标(精神病易感性和短暂性可卡因诱发的精神病性症状)。本研究是对巴黎及巴黎郊区成瘾治疗中心的180名可卡因使用者进行的二次分析,这些使用者接受了彼得斯妄想量表(PDI)和精神病性症状评估量表 - 可卡因诱发精神病(SAPS - CIP)的评估。精神分裂症诊断从病历中提取。在第一步中,与SAPS - CIP总分或PDI显著相关的相关变量被纳入网络分析,以更好地描绘它们各自的关联。网络中心性测量表明,优先使用的毒品(快克可卡因与可卡因)与TCIPS、精神病易感性有关,在较小程度上与精神分裂症有关。其次,在这个模型中,TCIPS是大量使用可卡因与精神病易感性之间的中介。第三,本研究完善了先前关于大量使用大麻是TCIPS风险因素的认识。观察到的联系不是直接的,而是由精神病易感性介导的。