Atypical antipsychotics in the treatment of patients with a dual diagnosis of schizophrenia spectrum disorders and substance use disorders: the results of a randomized comparative study

Author(s):  
V. Yu. Skryabin ◽  
M. A. Vinnikova ◽  
E. V. Ezhkova ◽  
M. S. Titkov ◽  
R. A. Bulatova
2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S306-S306
Author(s):  
Octavian Vasiliu

Abstract Background Multiple sclerosis has been suggested as a potential vulnerability factor for schizophrenia and other psychotic disorders, and there is a hypothesis about a common etiology in a subgroup of schizophrenia and multiple sclerosis [1]. Immune-related single-nucleotide polymorphisms have been associated with schizophrenia and genetic pleiotropy between schizophrenia and multiple sclerosis has been reported, but not between bipolar disorder and multiple sclerosis (at the level of major histocompatibility complex) [2]. As new data about the involvement of genetically-determined immune factors in the susceptibility to schizophrenia appear (e.g., variants of complement factor 4 possibly linked to synaptic pruning during brain development) [3] the interest for finding therapeutic targets within the immune system for psychotic disorders is also increasing. Methods Three patients diagnosed with both schizophrenia spectrum disorders (schizophrenia n=2, or schizoaffective disorder, depressive type n=1), female, mean age 43.7, with a history of psychotic disorder for at least one year, were monitored during 6 months using Positive and Negative Syndrome Scale (PANSS), Global Assessment of Functioning (GAF), Clinical Global Impressions – Severity (CGI-S), Columbia-Suicide Scale for Schizophrenia (CSSRS), Calgary Depression Scale (CDS), Multiple Sclerosis Severity Scale (MSSS), and the Extrapyramidal Symptom Rating Scale (ESRS). None of these patients presented other organic or psychiatric co-morbidity, and they were on active treatment for their multiple sclerosis throughout the 6-month duration of psychiatric evaluation. All patients were initiated on a new antipsychotic, because of the lack of efficacy of the previous agents, or due to their lack of therapeutic adherence. A patient was initiated on olanzapine 15 mg/day, while the other two received risperidone 4 mg/day. The antipsychotic doses were flexible during the 6 months of the treatment, with olanzapine between 10 and 20 mg daily, and risperidone between 3–6 mg daily. The initial PANSS mean score was 92.2, with a GAF of 35.3 and a CGI-S of 5.1. Results All patients reached the week 24 visit of their evaluation, and the overall tolerablity of the antipsychotic treatment was good. All patients had lower PANSS scores at week 24 (the mean decrease was -25.6 points compared to baseline), higher GAF scores (+27.7 points), and lower CGI-S (-2.5 points). CSSRS did not change significantly during the 6 months, the score remained at minimum value, and the CDS scores also remained constantly under 3. ESRS recorded transient increments, but at week 12 they were not significantly increased reported at the baseline values, and no corrective medication was recommended throughout the 6 months for extrapyramidal symptoms. MSSS mean score did not change significantly at week 12 compared to its baseline values. Discussion Atypical antipsychotics are efficient and well tolerated in patients with schizophrenia and multiple sclerosis dual diagnosis. The positive effects of atypical antipsychotics maintained during the 6 months of monitoring and they had no significant impact over the multiple sclerosis symptoms. References


Author(s):  
Katrine Melby ◽  
Mona Nygård ◽  
Mathias Forsberg Brobakken ◽  
Rolf W. Gråwe ◽  
Ismail Cüneyt Güzey ◽  
...  

Patient Activation Measure-13 (PAM-13) is a valid and widely used questionnaire that assess an individual’s knowledge, confidence, and skills for self-management of their chronic illness. Although there is some evidence regarding its reliability, the test–retest reliability has not been investigated among patients with substance use disorders (SUDs) or schizophrenia spectrum disorders. We investigated the internal consistency and test–retest reliability of PAM-13 in these populations. Test–retest reliability was analysed using data from 29 patients with SUDs and 28 with schizophrenia spectrum disorders. Cronbach’s α and Intraclass Correlation Coefficient (ICC) scores were used to examine internal consistency and test–retest reliability, respectively. Of the 60 collected test–retest questionnaires, 57 were included in the analyses. No mean differences between time one (T1) and time two (T2) were observed in either patient group, except for item 12 in schizophrenia spectrum disorders patients (p < 0.05). Internal consistency for T1 and T2 was 0.75 and 0.84 in SUDs patients and 0.87 and 0.81 in schizophrenia spectrum disorders patients, respectively. The ICC was r = 0.86 in patients with SUDs and r = 0.93 in patients with schizophrenia spectrum disorders. To conclude, PAM-13 showed good internal consistency and test–retest reliability in SUDs and schizophrenia spectrum disorders patients.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S114-S115
Author(s):  
Stéfan Du Plessis ◽  
Hilmar Luckhoff ◽  
Sanja Kilian ◽  
Laila Asmal ◽  
Frederika Scheffler ◽  
...  

Abstract Background In this study, we explored the relationship between hippocampal subfield volumes and change in body mass over 12 months of treatment in 90 first-episode schizophrenia spectrum disorder patients (66 males, 24 females; mean age= 24.7±6.8 years). Methods Body mass index was assessed in patients at baseline, and at months 3, 6, 9 and 12. Hippocampal subfields of interest were assessed using a segmentation algorithm included in the FreeSurfer 6.0 software program. Results Linear regression analysis showed a significant interactive effect between sex and anterior hippocampus size as a predictor of change in body mass over 12 months, adjusting for age, substance use, treatment duration, and posterior hippocampal volumes. In an exploratory sub-analysis, partial correlations revealed a significant association between weight gain and smaller CA1, CA3 and subiculum volumes in females, but not males, adjusting for age and substance use, with similar trends evident for the CA4 and presubiculum subfields. Discussion In conclusion, our findings suggest that smaller anterior hippocampal subfields are associated with the development of weight gain over the course of treatment in first-episode schizophrenia spectrum disorders in a sex-specific fashion, and may partly explain the more severe and ongoing increase in body mass evident for female patients.


2018 ◽  
Vol 52 (8) ◽  
pp. 782-792 ◽  
Author(s):  
Henning Hachtel ◽  
Cieran Harries ◽  
Stefan Luebbers ◽  
James RP Ogloff

Objective: People affected by schizophrenia spectrum disorders are at a higher risk of offending violently. This study aims to investigate risk factors in relation to the peri-diagnostic period and possible predictors of post-diagnostic violence of people diagnosed for the first time in the public mental health system. Methods: The study compared various risk factors for post-diagnostic violence in patients ( n = 1453) diagnosed with a schizophrenia spectrum disorder. Patients were grouped according to the occurrence of peri-diagnostic violence. Of the 246 violent offenders, 164 committed their first offence pre-diagnosis. Mental health and criminological variables were evaluated across the lifespan (median age at end of follow-up = 34.22 years, range = 17.02–55.80 years). Results: Gender, employment, non-violent offending, family incidents, violent and non-violent victimisation, substance use, personality disorder, number of in-patient admissions and history of non-compliance differed significantly across violent and non-violent subgroups (all p ⩽ 0.01 and at least small effect size). More frequent and longer inpatient admissions were found in the violent subgroups (all p ⩽ 0.01). For the whole sample, sex, number of violent offences, non-violent offences, violent victimisation, substance use and number of inpatient admissions predicted post-diagnostic violence (χ2 (6) = 188.13, p < 0.001). Among patients with a history of pre-diagnostic violence, a history of non-violent offending in the 18-month period pre-diagnosis was the strongest predictor of future violence (odds ratio = 3.08, 95% confidence interval [1.32, 7.21]). Conclusion: At triage, violence risk assessment should consider the presence of antisocial behaviour and violent victimisation, substance use, male gender and frequency of inpatient admissions. Common treatment targets for the prevention of post-diagnostic violence include criminality and victimisation. Treatment of positive symptoms should be of greater emphasis for individuals without a history of pre-diagnostic violence.


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