Publications by authors named "E Repo-Tiihonen"

Background: Antipsychotic polypharmacy (APP) is frequently prescribed for schizophrenia-spectrum disorders. Despite the inconsistent findings on efficacy, APP may be beneficial for subgroups of psychotic patients. This meta-analysis of individual patient data investigated moderators of efficacy and tolerability of APP in adult patients with schizophrenia-spectrum disorders.

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Background: Safety is of paramount importance to patients and staff in forensic mental health hospitals. Previous research has focused on organizational and nurses' perceptions of safety and violence in psychiatric wards. However, little is known about how patients view their safety.

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Clozapine is the most effective antipsychotic for patients with treatment-resistant schizophrenia. However, response is highly variable and possible genetic underpinnings of this variability remain unknown. Here, we performed polygenic risk score (PRS) analyses to estimate the amount of variance in symptom severity among clozapine-treated patients explained by PRSs (R2) and examined the association between symptom severity and genotype-predicted CYP1A2, CYP2D6, and CYP2C19 enzyme activity.

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The mortality of female psychopaths has scarcely been investigated. To estimate the association between psychopathy and mortality, data from subjects having been in forensic psychiatric assessments at Niuvanniemi Hospital during 1984-1993 were linked to the data from the National Death Registry. Sixteen psychopathic females scoring 25 points or higher in the PCL-R scale (psychopaths) were followed up for a median (IQR) 21 (17-25) years and 41 offenders scoring <25 on the PCL-R (non-psychopathic offenders) for 22 (17-25) years.

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The atypical antipsychotic clozapine is the only effective medication for treatment-resistant schizophrenia. However, it can also induce serious adverse drug reactions, including agranulocytosis and neutropenia. The mechanism by which it does so is largely unknown, but there is evidence for contributing genetic factors.

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