This study is aimed at identifying the incidence as well as clinical and socio-demographic correlates of aggression in hospitalized schizophrenic patients. We prospectively recruited participants with Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.) diagnosis of schizophrenia presenting to the Clinic for Psychiatry during a 2-year period. We used the Modified Overt Aggression Scale to assess the aggression and Positive and Negative Syndrome Scale (PANSS) to assess the clinical characteristics of participants. One out of three patients with schizophrenia (31%) was aggressive and hostile at the time of presentation. Socio-demographic variables (such as gender, age, duration of illness, and number of hospitalizations) were poor predictors of aggression for schizophrenic patients. The level of aggression was not associated with the clinical characteristics in aggressive and hostile hospitalized schizophrenic patients. However, there was a weak negative association between the level of aggression and the PANSS Negative Scale ( p < .01). In conclusion, socio-demographic variables and clinical characteristics seem to be not such good predictors of aggressive behavior in hospitalized schizophrenic patients. Nevertheless, the results of our study contribute to the understanding of the prediction and treatment of aggression in a well-defined cohort of schizophrenic patients.
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http://dx.doi.org/10.1177/0886260515585537 | DOI Listing |
J Psychopharmacol
January 2025
Psychiatric Research Center, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
Objective: Therapeutic drug monitoring (TDM) indicators have been suggested to predict overall outcome responses to olanzapine (OLZ) treatments in terms of efficacy and metabolic syndrome. This study aimed to investigate whether paraoxonase-1 (PON-1) activity can be used to predict schizophrenia patient outcomes.
Methods: Schizophrenic patients ( = 50) aged between 20 and 65 years who received OLZ treatment were recruited, and their Positive and Negative Syndrome Scale scores, PON-1 activity, and olanzapine drug levels normalized by dose (OLZ/D) and its metabolite N-desmethyl-olanzapine (DMO), together with biochemical parameters, were determined.
Neuropsychopharmacol Hung
December 2024
Pszichiátriai és Pszichoterápiás Klinika, Semmelweis Egyetem, Budapest.
Med Health Care Philos
January 2025
Université de Genève, Genève, Switzerland.
This paper seeks to determine the extent to which individuals with borderline personality disorders can be held morally responsible for a particular subset of their actions: disproportionate anger, aggressions and displays of temper. The rationale for focusing on these aspects lies in their widespread acknowledgment in the literature and their plausible primary association with blame directed at BPD patients. BPD individuals are indeed typically perceived as "difficult patients" (Sulzer 2015:82; Bodner et al.
View Article and Find Full Text PDFBrain Behav
January 2025
Computational and Artificial Intelligence Department, Institute of Cognitive Science Studies, Tehran, Iran.
Purpose: The neurobiological heterogeneity present in schizophrenia remains poorly understood. This likely contributes to the limited success of existing treatments and the observed variability in treatment responses. Our objective was to employ magnetic resonance imaging (MRI) and machine learning (ML) algorithms to improve the classification of schizophrenia and its subtypes.
View Article and Find Full Text PDFSci Rep
December 2024
Department of Clinical Neuropsychiatry, Medical University of Lublin, ul. Głuska 1, 20-439, Lublin, Poland.
Schizophrenia is a serious mental disorder with a complex neurobiological background and a well-defined psychopathological picture. Despite many efforts, a definitive disease biomarker has still not been identified. One of the promising candidates for a disease-related biomarker could involve retinal morphology , given that the retina is a part of the central nervous system that is known to be affected in schizophrenia and related to multiple illness features.
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