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Objective. To investigate the specificity of the 'jump-to-conclusions' (JTC) bias in delusions.Methods. Thirty-seven psychotic patients were divided into two separate groupings: (I) deluded versus non-deluded individuals and (2) individuals with and without a diagnosis of schizophrenia. Groups were compared on three reasoning tasks ('Beads' task, Wason's 2-4-6 task, and Wason's selection task).Results. Deluded participants had a tendency to show a JTC bias on data-gathering tasks, but no differences were found with the schizophrenia diagnosis grouping. There were no differences between any groups on tasks of general reasoning and probability judgments.Conclusion. The results suggest that JTC is specific to delusions rather than diagnosis, and to data gathering rather than a general deficit in reasoning. [ABSTRACT FROM AUTHOR]

Objective: To investigate whether patients with clozapine treatment are at an increased risk of a more severe COVID-19 infection as compared with patients on other antipsychotic drugs., Methods: In this register-based cohort study, all residents (age 18 or older) in the Stockholm Region with a psychotic disorder diagnosis and antipsychotic treatment were included (N = 8 233) and followed from 1 March 2020 to 14 January 2021. The exposure was defined as clozapine treatment and the outcome measures (indicating a more severe COVID-19 infection) were: inpatient care, care within intensive care unit or death due to COVID-19 infection. Differences in outcome rates between exposed (n = 966) and unexposed (other antipsychotics; n = 7 267) were examined using Cox proportional hazards models and expressed as hazard ratios (HR) with 95% confidence intervals (CI)., Results: No statistically significant differences in outcome rates were found between the two groups of patients after adjusting for age, sex and residence in retirement homes. The adjusted HR for the exposed compared to the unexposed was 0.96 (95% CI: 0.54, 1.70) for inpatient care; 1.69 (0.48, 5.93) for care in intensive care unit (ICU); and 0.86 (0.26, 2.80) for death. Regarding inpatient care, additional adjusting for country of birth, living in socioeconomically vulnerable areas, number of care visits during the previous year, and comorbid medical illnesses did not alter the results., Conclusions: Our results may add support to the present guidelines, recommending sustained clozapine treatment during the current COVID-19 pandemic with careful monitoring and readiness to alter drug doses as needed., (© 2021 The Authors. Acta Psychiatrica Scandinavica published by John Wiley & Sons Ltd.)

Objective: Early treatment of schizophrenia improves outcomes. Clozapine appears to have unique benefit when other antipsychotic medication has failed. This systematic review and meta-analysis aims to assess clozapine's superiority over alternative antipsychotic medication and examine whether earlier use is associated with additional benefit., Method: Systematic retrieval of blinded, randomized controlled trials comparing clozapine with alternative antipsychotics in adults with schizophrenia. The effect of mean age on relative clozapine response was examined using random effects meta-regression, and multiple linear regression on available patient data., Results: A total of 276 studies were retrieved. Thirty-four studies were included in the meta-analysis. Clozapine was significantly more effective than alternative antipsychotics in reducing psychotic symptoms and increasing response. However, meta-regression failed to show a more significant effect in younger patients (age on effect size (total psychotic symptoms) 0.00, P = 0.79 CI -0.03 to 0.03). Individual patient data were available for two studies, the larger of which showed a significant interaction between younger age and superiority of clozapine., Conclusion: The results support clozapine's superiority over other antipsychotics. A convincing effect of age on this effect was not demonstrated, although this was suggested in one study. In view of the age of many of the included studies, and changes in reporting practice over time, new clozapine RCTs, which include age of illness onset as well as age at trial time, would be welcome in order to provide meta-analysable data for future use., (© 2020 The Authors. Acta Psychiatrica Scandinavica published by John Wiley & Sons Ltd.)

Objective: Large-scale epidemiological studies have demonstrated a protective effect of clozapine on mortality in people with schizophrenia. Clozapine is reserved for use in patients with treatment-resistant schizophrenia (TRS), but evidence of clozapine's effect on mortality exclusively within TRS samples is inconclusive. Hence, we aimed to investigate the effect of clozapine use on all-cause mortality in TRS patients., Methods: A historical patient cohort sample of 2837 patients, who met criteria for TRS between 1 Jan 2008 and 1 Jan 2016, were selected from the South London and Maudsley NHS Foundation Trust (SLAM) electronic health records (EHR). The national Zaponex Treatment Access System (ZTAS) mandatory monitoring system linked to the SLAM EHR was used to distinguish which patients were initiated on clozapine (n = 1025). Cox proportional hazard models were used, adjusting for sociodemographics, clinical monitoring, mental and physical illness severity and functional status., Results: After controlling for potential confounders, the protective effect of clozapine on all-cause mortality was significant (adjusted hazard ratio 0.61; 95% confidence interval 0.38-0.97; P = 0.04)., Conclusions: Clozapine reduces the risk of mortality in patients who meet criteria for TRS. We provide further evidence that improving access to clozapine in TRS is likely to reduce the mortality gap in schizophrenia., (© 2018 The Authors. Acta Psychiatrica Scandinavica Published by John Wiley & Sons Ltd.)

Objectives: To investigate the association between long-term antipsychotic polypharmacy use and mortality; and determine whether this risk varies by cause of death and antipsychotic dose., Methods: Using data from a large anonymised mental healthcare database, we identified all adult patients with serious mental illness (SMI) who had been prescribed a single antipsychotic or polypharmacy, for six or more months between 2007 and 2014. Multivariable Cox regression models were constructed, adjusting for sociodemographic, socioeconomic, clinical factors and smoking, to examine the association between APP use and the risk of death., Results: We identified 10 945 adults with SMI who had been prescribed long-term antipsychotic monotherapy (76.9%) or APP (23.1%). Patients on long-term APP had a small elevated risk of mortality, which was significant in some but not all models. The adjusted hazard ratios for death from natural and unnatural causes associated with APP were 1.2 (0.9-1.4, P = 0.111) and 1.1 (0.7-1.9, P = 0.619) respectively. The strengths of the associations between APP and mortality outcomes were similar after further adjusting for % BNF antipsychotic dose (P = 0.031) or olanzapine equivalence (P = 0.088)., Conclusion: The findings suggest that the effect of long-term APP on mortality is not clear-cut, with limited evidence to indicate an association, even after controlling for the effect of dose., (© 2018 The Authors Acta Psychiatrica Scandinavica Published by John Wiley & Sons Ltd.)

Objective: We aimed to systematically evaluate the empirical evidence for the commonly held view that the reduced reproductive output in patients with schizophrenia is compensated for by an increased fitness in unaffected relatives. Secondary aims were to quantify the magnitude of the fertility disadvantage and the apparent gender difference in fertility of patients with schizophrenia., Method: We carried out a systematic review and meta-analysis of studies investigating the fertility of patients with schizophrenia, their siblings, their parents and the general population., Results: Patients with schizophrenia had reduced fertility compared with the general population, [Fertility Ratio (FR)=0.39 (95% Confidence Interval (CI)=0.35-0.44)]. Siblings of patients with schizophrenia had somewhat fewer offspring than the general population (FR=0.96, 95% CI=0.93-1.00). Parents of patients with schizophrenia had fertility similar to the general population (FR=1.17, 95% CI=0.94-1.46). Men had a greater impairment in fertility than women, both in patients (FR=0.54, 95% CI=0.50-0.57) and in their unaffected siblings (FR=0.81, 95% CI=0.71-0.92)., Conclusion: Compensatory fitness advantage in siblings and parents cannot explain the maintenance of schizophrenia in the population. Alternative explanations include mutation-selection balance and the role of quantitative traits., (© 2010 John Wiley & Sons A/S.)