Vellucci Licia, Barone Annarita, Buonaguro Elisabetta Filomena, Ciccarelli Mariateresa, De Simone Giuseppe, Iannotta Federica, Matrone Marta, Mazza Benedetta, Vitelli Roberto, de Bartolomeis Andrea, Iasevoli Felice
Unit for Treatment-Resistant Psychoses, Section of Psychiatry, Department of Neuroscience, Reproductive Sciences and Dentistry - University of Naples "Federico II", Naples, Italy; Department of Translational Medical Sciences, University of Naples "Federico II", Naples, Italy.
Unit for Treatment-Resistant Psychoses, Section of Psychiatry, Department of Neuroscience, Reproductive Sciences and Dentistry - University of Naples "Federico II", Naples, Italy.
J Psychiatr Res. 2025 May;185:119-129. doi: 10.1016/j.jpsychires.2025.03.040. Epub 2025 Mar 27.
Treatment-resistant schizophrenia (TRS) occurs when symptoms persist despite adequate antipsychotic treatment in terms of both timing and dosage. This severe condition is often overlooked, despite the existence of guidelines, with an average delay of 4-9 years before the introduction of clozapine, the gold standard treatment. We hypothesized that schizophrenia patients with severe autistic symptoms are more prone to develop TRS. To test this, we administered the Positive and Negative Syndrome Scale for Schizophrenia Autism Severity Scale (PAUSS) to 117 patients diagnosed with schizophrenia. Our results revealed that both TRS and clozapine non-responder (CLZ-nR) groups had higher rates of autistic symptoms than non-TRS patients. A machine learning model was developed to examine the relationship between PAUSS scores and TRS, obtaining an accuracy of 0.65 and an AUC of 0.67. Specifically, PAUSS items N6 ("lack of spontaneity and flow of conversation") and N7 ("stereotypical thinking") emerged as the most significant factors in the model. In addition, PAUSS was correlated with cognitive and social functions, as well as soft neurological signs, in TRS patients. Autism-related symptoms were found to predict significant variance in motor coordination, verbal fluency, functional ability and soft neurological signs. These results suggest that autism-related symptoms in schizophrenia may define a distinct subgroup with unique neurobiological characteristics.
难治性精神分裂症(TRS)是指在抗精神病药物治疗的时机和剂量都足够的情况下,症状仍持续存在。尽管有相关指南,但这种严重情况常常被忽视,在引入氯氮平(金标准治疗药物)之前平均延迟4至9年。我们假设患有严重自闭症症状的精神分裂症患者更容易发展为难治性精神分裂症。为了验证这一点,我们对117名被诊断为精神分裂症的患者进行了精神分裂症自闭症严重程度阳性和阴性症状量表(PAUSS)测试。我们的结果显示,难治性精神分裂症组和氯氮平无反应者(CLZ - nR)组的自闭症症状发生率均高于非难治性精神分裂症患者。我们开发了一个机器学习模型来研究PAUSS评分与难治性精神分裂症之间的关系,准确率为0.65,曲线下面积(AUC)为0.67。具体而言,PAUSS项目N6(“缺乏谈话的自发性和流畅性”)和N7(“刻板思维”)在模型中成为最显著的因素。此外,PAUSS与难治性精神分裂症患者的认知和社会功能以及软神经体征相关。发现自闭症相关症状可预测运动协调、语言流畅性、功能能力和软神经体征的显著差异。这些结果表明,精神分裂症中与自闭症相关的症状可能定义了一个具有独特神经生物学特征的不同亚组。