A diagnostic dilemma between psychosis and post-traumatic stress disorder: a case report and review of the literature

<p>Abstract</p> <p>Introduction</p> <p>Post-traumatic stress disorder is defined as a mental disorder that arises from the experience of traumatic life events. Research has shown a high incidence of co-morbidity between post-traumatic stress disorder and psychosis.</p> <p>Case presentation</p> <p>We report the case of a 32-year-old black African woman with a history of both post-traumatic stress disorder and psychosis. Two years ago she presented to mental health services with auditory and visual hallucinations, persecutory delusions, suicidal ideation, recurring nightmares, hyper-arousal, and initial and middle insomnia. She was prescribed trifluoperazine (5 mg/day) and began cognitive-behavioral therapy for psychosis. Her psychotic symptoms gradually resolved over a period of three weeks; however, she continues to experience ongoing symptoms of post-traumatic stress disorder. In our case report, we review both the diagnostic and treatment issues regarding post-traumatic stress disorder with psychotic symptoms.</p> <p>Conclusions</p> <p>There are many factors responsible for the symptoms that occur in response to a traumatic event, including cognitive, affective and environmental factors. These factors may predispose both to the development of post-traumatic stress disorder and/or psychotic disorders. The independent diagnosis of post-traumatic stress disorder with psychotic features remains an open issue. A psychological formulation is essential regarding the appropriate treatment in a clinical setting.</p

Family-based clusters of cognitive test performance in familial schizophrenia

BACKGROUND: Cognitive traits derived from neuropsychological test data are considered to be potential endophenotypes of schizophrenia. Previously, these traits have been found to form a valid basis for clustering samples of schizophrenia patients into homogeneous subgroups. We set out to identify such clusters, but apart from previous studies, we included both schizophrenia patients and family members into the cluster analysis. The aim of the study was to detect family clusters with similar cognitive test performance. METHODS: Test scores from 54 randomly selected families comprising at least two siblings with schizophrenia spectrum disorders, and at least two unaffected family members were included in a complete-linkage cluster analysis with interactive data visualization. RESULTS: A well-performing, an impaired, and an intermediate family cluster emerged from the analysis. While the neuropsychological test scores differed significantly between the clusters, only minor differences were observed in the clinical variables. CONCLUSIONS: The visually aided clustering algorithm was successful in identifying family clusters comprising both schizophrenia patients and their relatives. The present classification method may serve as a basis for selecting phenotypically more homogeneous groups of families in subsequent genetic analyses