Obsessive-Compulsive (OC) symptoms are observed in a substantial proportion of schizophrenic patients and pose a significant therapeutic challenge. Based on findings of the benefit of the anti-obsessive agent clomipramine, we designed an open-label study to examine the effect of adding the serotonin-selective reuptake inhibitor (SSRI) fluvoxamine to the ongoing antipsychotic regimen of schizo-obsessive patients. The study population consisted of ten neuroleptic-stabilized chronic schizophrenic patients with OC symptoms. Fluvoxamine (up to 150 mg/day) was added to the ongoing antipsychotic treatment, which remained unchanged for the entire 12-week trial period. The patients were evaluated before the trial and at weeks 1, 2, 4, 6, 8 and 12 (end point) with the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), the Schedule for Assessment of Positive Symptoms and the Schedule for Assessment of Negative Symptoms. The results showed a significant improvement in obsessions (P < 0.02) (but not compulsions) and both positive (P < 0.01) and negative (P < 0.05) schizophrenic symptoms. By the end of the trial, three patients showed a more than 50% reduction in the Y-BOCS score, with complete amelioration of the OC symptoms in one of them. Three patients were dropped from the study during the first 4 weeks, two because of aggressiveness and one because of psychotic exacerbation. No exacerbation or new onset of extrapyramidal side-effects (EPS), as measured by the Barnes Akathisia Scale (BARS) and the Simpson-Angus Scale (SAS), was noted during the course of the trial and there were no other significant clinical side-effects of fluvoxamine addition. We conclude that fluvoxamine may be an effective adjunctive agent in some schizo-obsessive patients.
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http://dx.doi.org/10.1097/00004850-199903000-00006 | DOI Listing |
BMC Psychiatry
January 2025
Department of Psychiatry, Shin-Abuyama Hospital, Osaka Institute of Clinical Psychiatry, Takatsuki, 569-1041, Japan.
Background: Psychoeducation programs can reduce the risk of recurrence and readmission in patients with schizophrenia. However, almost all previous studies of program efficacy have included only patients completing the program, which may not be possible in all cases. The objective of this pilot cohort study was to compare the prognoses of inpatients with schizophrenia who did or did not complete a well-established institutional psychoeducation program.
View Article and Find Full Text PDFJ 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.
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