Predictors of transition to schizophrenia and other long-lasting non-affective psychoses in first-episode patients with acute and transient psychotic disorders: A validation study

Background and objectives Almost half of the individuals with a first-episode of psychosis who initially meet criteria for acute and transient psychotic disorder (ATPD) will have had a diagnostic revision during their follow-up, mostly toward schizophrenia. This study aimed to determine the proportion of diagnostic transitions to schizophrenia and other long-lasting non-affective psychoses in patients with first-episode ATPD, and to examine the validity of the existing predictors for diagnostic shift in this population. Methods We designed a prospective two-year follow-up study for subjects with first-episode ATPD. A multivariate logistic regression analysis was performed to identify independent variables associated with diagnostic transition to persistent non-affective psychoses. This prediction model was built by selecting variables on the basis of clinical knowledge. Results Sixty-eight patients with a first-episode ATPD completed the study and a diagnostic revision was necessary in 30 subjects at the end of follow-up, of whom 46.7% transited to long-lasting non-affective psychotic disorders. Poor premorbid adjustment and the presence of schizophreniform symptoms at onset of psychosis were the only variables independently significantly associated with diagnostic transition to persistent non-affective psychoses. Conclusion Our findings would enable early identification of those inidividuals with ATPD at most risk for developing long-lasting non-affective psychotic disorders, and who therefore should be targeted for intensive preventive interventions. (AU)

Effects of antipsychotics on amino acid levels in patients with first-episode schizophrenia: A prospective study

Background and objectives Alterations in the molecular mechanisms of specific amino acids (AAs) may be implicated in the pathophysiology of schizophrenia (SZ). However, little is known about antipsychotic drugs influence on levels of AAs. This study aimed to further explore antipsychotics' effects on AAs and serum lipid levels in first-episode SZ. Methods Eighty subjects with the International Classification of Diseases, Tenth Edition (ICD-10) criteria-defined SZ were enrolled. The levels of 31 AAs were measured in plasma samples using ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Results Ten AAs (i.e., citrulline, sarcosine, tyrosine, leucine, proline, hydroxyproline, kynurenine, tryptophan, valine and isoleucine) were observed to be higher and three AAs (i.e., GABA, aminobutyric acid and asparaginic acid) were lower in 80 patients with first-episode SZ after various antipsychotics treatment. In addition, there were 1 out of 31 AAs altered after olanzapine treatment and there were only 2 out of 31 AAs altered after risperidone treatment. Furthermore, serum triglyceride (TG) was markedly upregulated after olanzapine treatment, while Apolipoprotein A1 (ApoA1) was generally upregulated after risperidone treatment in patients with first-episode SZ. Conclusions Taken together, antipsychotic treatment can affect the plasma levels of AAs in patients with first-episode SZ, and olanzapine and risperidone have differential effects on the levels of AAs. (AU)

The efficacy of social skills training (SST) and social cognition and interaction training (SCIT) for negative symptoms: A meta-analysis

Background and objectives The efficacy of antipsychotic drugs in improving negative symptoms of schizophrenia remains controversial. Psychological interventions, such as Social Skills Training (SST) and Social Cognition and Interaction Training (SCIT), have been developed and applied in clinical practice. The current meta-analysis was therefore conducted to evaluate the efficacy of controlled clinical trials using SST and SCIT on treating negative symptoms. Methods Systematical searches were carried out on PubMed, Web of Science, and PsycINFO databases. The standardized mean difference (SMD) with 95% confidence intervals (CI) was calculated to assess the effect size of SST/SCIT on negative symptoms. Subgroup and meta-regression analyses were conducted to explore sources of heterogeneity and identify potential factors that may influence their efficacy. Results A total of 23 studies including 1441 individuals with schizophrenia were included. The SST group included 8 studies with 635 individuals, and the SCIT group included 15 studies with 806 individuals. The effect size for the efficacy of SST on negative symptoms was -0.44 (95% CI: -0.60 to -0.28; p < 0.01), while SCIT was -0.16 (95% CI: -0.30 to -0.02; p < 0.01). Conclusions Our findings suggest that while both SST and SCIT can alleviate negative symptoms, the former appears to be more effective. Our results provide evidence-based guidance for the application of these interventions in both hospitalized and community individuals and can help inform the treatment and intervention of individuals with schizophrenia. (AU)

Association between genetic variants of GRM7 (rs1396409 and rs9883258) and treatment outcomes in Schizophrenic Egyptian patients.

BACKGROUND AND AIM: This study evaluated the association between rs1396409 and rs9883258 and the risk of schizophrenia (SCZ) and treatment outcomes in Egyptian patients. METHODS: This study included 88 patients with SCZ and 88 healthy controls. Lipid profile was assayed. Genotyping of rs1396409 and rs9883258 polymorphisms was analyzed using real-time PCR. RESULTS: The rs1396409 AG genotype frequency was significantly associated with SCZ risk (p = 0.002). Also, significant increased risk of SCZ was observed under allelic (p = 0.001), dominant (p = 0.001) and overdominant (p = 0.001) genetic model of rs1396409. However, rs9883258 AA genotype revealed nonsignificant association with SCZ. Cases with the rs1396409AG genotype exhibited hypertriglyceridemia (p < 0.001) and hypercholesterolemia (p = 0.001). In total, 72.3% and 74.5% of the cases presented with rs1396409 AG have negative symptoms (p = 0.022) and exhibited poor drug response (p = 0.023), respectively; all cases with rs1396409 GG genotype attempted suicide (p = 0.002) and are drug-free (p = 0.003). SCZ patients with negative symptoms had hypercholesterolemia (p = 0.008) mainly low-density lipoproteins (LDLc) (p = 0.016), and those with cognitive symptoms presented with low level of high-density lipoprotein (HDLc) (p = 0.023). Moreover, the multivariate regression analysis revealed that both rs1396409 G allele and HDLc were predictors of SCZ (p = 0.003 and 0.001, resp.). CONCLUSION: The current study concluded that metabotropic glutamate receptor 7 (GRM7) rs1396409 AG could be a potential biomarker for SCZ diagnosis. It also revealed an independent association between the GRM7 rs1396409 G allele, HDLc and SCZ development.

Correlation of Serum High-Sensitivity C-Reactive Protein, Homocysteine, and Macrophage Migration Inhibitory Factor Levels With Symptom Severity and Cognitive Function in Patients With Schizophrenia.

OBJECTIVE: This trial analyzed high-sensitivity C-reactive protein (hs-CRP), homocysteine (Hcy), and macrophage migration inhibitory factor (MIF) level in serum and their correlation with symptom severity and cognitive function in patients with schizophrenia (SP). METHODS: Sixty-eight SP patients were enrolled in the SP group, and 68 healthy volunteers were in the control (CN) group. Serum hs-CRP, Hcy, and MIF were measured, and symptom severity was assessed with the Positive and Negative Symptom Scale (PANSS). Cognitive function was determined with the MATRICS Consensus Cognitive Battery (MCCB). The SP group was divided into high PANSS score (PANSS ≥70 points) and low PANSS score (PANSS <70 points), or the mild cognitive dysfunction group and severe cognitive dysfunction group according to the median MCCB score. The correlation between serum hs-CRP, Hcy, and MIF levels and PANSS and MCCB scores in SP patients was examined by Pearson correlation analysis. RESULTS: SP patients had higher serum hs-CRP, Hcy, and MIF levels and showed higher PANSS scores and lower MCCB total score. Serum hs-CRP, Hcy, and MIF levels in the high PANSS group were higher than those in the low PANSS group and in the severe cognitive dysfunction group than in the mild cognitive dysfunction group. Serum hs-CRP, Hcy, and MIF levels in SP patients were positively correlated with PANSS total score and negatively correlated with MCCB total score. CONCLUSION: High serum hs-CRP, Hcy, and MIF levels in SP patients are correlated with symptom severity and cognitive dysfunction.

ZO-1 Serum Levels as a Potential Biomarker for Psychotic Disorder.

OBJECTIVE: There are limited studies in the literature on the relationship between intestinal and blood-brain barrier permeability and the etiology of schizophrenia. We hypothesized that the difference in serum ZO-1 levels in patients with schizophrenia may affect the severity of the disease. The aim of this study was to investigate the role of changes in serum ZO-1 concentrations in the etiopathogenesis of patients with schizophrenia. METHODS: A total of 46 patients, 34 with schizophrenia, 12 with a first psychotic attack, and 37 healthy controls, were included in the study. Symptom severity was determined by applying the Positive and Negative Syndrome Scale and the Clinical Global Impression-Severity Scale. Serum ZO-1 levels were measured from venous blood samples. RESULTS: Serum ZO-1 levels were higher in patients with psychotic disorder compared to healthy controls. There was no statistically significant difference between the groups in the first psychotic attack group and the schizophrenia patients. There was a statistically significant positive correlation between serum ZO-1 levels and Positive and Negative Syndrome Scale positive symptom score. CONCLUSIONS: These findings regarding ZO-1 levels suggest that dysregulation of the blood-brain barrier in psychotic disorder may play a role in the etiology of the disorder.

Schizophrenia and medication adherence: Associated factors.

BACKGROUND: Schizophrenia is a chronic condition that requiring maintenance treatment with antipsychotic medication. Medication adherence is essential to improve the symptoms of this health problem reduce relapses and readmissions and achieve treatment goals. The rate of challenges associated with medication adherence in schizophrenia is reported to be 26.5-85.1 %. PURPOSE: This study was conducted to determine factors associated with medication adherence in individuals diagnosed with schizophrenia. METHODS: A descriptive correlational research design was used. The study was completed with a total of 162 participants diagnosed with schizophrenia, between February-June 2021, at a Community Mental Health Center. Regression analysis (Model: enter and stepwise) was used to determine associated factors. RESULTS: The mean medication adherence score of individual diagnosed with schizophrenia indicated that more than half of the participants (52 %) had poor medication adherence. In individual diagnosed with schizophrenia, medication attitudes, level of internalized stigma, the status of regular attendance to appointments, belief in recovery, and using medicines as prescribed were complicating factors for medication adherence (p < 0.05). CONCLUSIONS: Medication adherence in individuals with diagnosed schizophrenia may be multifactorial. Mental health professionals should consider associated factors and implement a personalized treatment plan in this direction for strengthening adherence to medication treatment.

Risk and protective factors in risk assessment: Predicting inpatient aggression in adult males detained in a forensic mental health setting.

Structured clinical risk assessments represent a preferred means of assessing levels of aggression risk at different times and in different individuals. Increasing attention has been given to capturing protective factors, with sound risk assessment critical to high-secure forensic mental health care. The aim was to assess the predictive value of the HCR-20v3 for aggression risk and the long-term care pilot version of the SAPROF (the SAPROF-LC-pilot) in a high-secure forensic mental health inpatient population and to determine the incremental value of protective over risk factors. Participants were adult males detained in a high secure forensic mental health service, with a primary diagnosis of schizophrenia and/or personality disorder. The focus was on examining hospital based aggression (self- and other-directed) at two time points; up to 6 months (T1) and between 7 and 12 months (T2). The HCR-20V3 and SAPROF-LC-pilot demonstrated good predictive validity but with variability across subscales and aggression types/periods. Historical factors of the HCR-20V3 and External factors of the SAPROF-LC-pilot failed to predict, aside from a medium effect at T1 for verbal aggression and self-harm, for Historical factors. There was evidence for protective factors adding to prediction over risk factors alone, with the integration of protective and risk factors into a risk judgement particularly helpful in improving prediction accuracy. Protective factors contributed to risk estimates and particularly if integrated with risk factors. Combining risk and protective factors has clear predictive advantages, ensuring that protective factors are not supplementary but important to the aggression assessment process.

Olanzapine-induced cardiomyopathy: A mimicker of obesity cardiomyopathy?

Olanzapine, an atypical antipsychotic medication, has gained prominence in the treatment of schizophrenia and related psychotic disorders due to its effectiveness and perceived safety profile. However, emerging evidence suggests a potential link between olanzapine use and adverse cardiovascular effects, including cardiomyopathy. This narrative review explores the mechanisms, clinical implications, and management strategies associated with olanzapine-induced cardiomyopathy. A comprehensive review of the literature was conducted to investigate the relationship between olanzapine and cardiomyopathy. The search included epidemiological studies, clinical case reports, and mechanistic research focusing on the pathophysiology of olanzapine-induced cardiomyopathy. The review also examined treatment strategies for managing this potential complication. Olanzapine-induced cardiomyopathy is hypothesized to be associated with metabolic disturbances and receptor antagonism. The metabolic effects of olanzapine, such as weight gain, insulin resistance, and dyslipidemia, share similarities with obesity-related cardiomyopathy. Additionally, olanzapine's antagonism of certain receptors may contribute to cardiovascular stress. The review highlighted that patients with new-onset heart failure and significant weight gain while on olanzapine should be closely monitored for signs of cardiomyopathy. Early detection and prompt withdrawal of olanzapine, along with initiation of goal-directed medical therapy, are crucial for mitigating this potentially life-threatening condition. The relationship between olanzapine and cardiomyopathy is complex and not yet fully understood. However, the potential for significant cardiovascular risk necessitates vigilance among healthcare providers. Early identification and management of olanzapine-induced cardiomyopathy can improve patient outcomes. Further research is needed to elucidate the precise mechanisms behind this adverse effect and to develop optimized treatment strategies for patients requiring antipsychotic therapy.

A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivity.

Resting-state functional magnetic resonance imaging (rs-fMRI) has increasingly been used to study both Alzheimer's disease (AD) and schizophrenia (SZ). While most rs-fMRI studies being conducted in AD and SZ compare patients to healthy controls, it is also of interest to directly compare AD and SZ patients with each other to identify potential biomarkers shared between the disorders. However, comparing patient groups collected in different studies can be challenging due to potential confounds, such as differences in the patient's age, scan protocols, etc. In this study, we compared and contrasted resting-state functional network connectivity (rs-FNC) of 162 patients with AD and late mild cognitive impairment (LMCI), 181 schizophrenia patients, and 315 cognitively normal (CN) subjects. We used confounder-controlled rs-FNC and applied machine learning algorithms (including support vector machine, logistic regression, random forest, and k-nearest neighbor) and deep learning models (i.e., fully-connected neural networks) to classify subjects in binary and three-class categories according to their diagnosis labels (e.g., AD, SZ, and CN). Our statistical analysis revealed that FNC between the following network pairs is stronger in AD compared to SZ: subcortical-cerebellum, subcortical-cognitive control, cognitive control-cerebellum, and visual-sensory motor networks. On the other hand, FNC is stronger in SZ than AD for the following network pairs: subcortical-visual, subcortical-auditory, subcortical-sensory motor, cerebellum-visual, sensory motor-cognitive control, and within the cerebellum networks. Furthermore, we observed that while AD and SZ disorders each have unique FNC abnormalities, they also share some common functional abnormalities that can be due to similar neurobiological mechanisms or genetic factors contributing to these disorders' development. Moreover, we achieved an accuracy of 85% in classifying subjects into AD and SZ where default mode, visual, and subcortical networks contributed the most to the classification and accuracy of 68% in classifying subjects into AD, SZ, and CN with the subcortical domain appearing as the most contributing features to the three-way classification. Finally, our findings indicated that for all classification tasks, except AD vs. SZ, males are more predictable than females.

Clarification of Psychiatric Nurses' Intentions and Analysis Contents in Observing Schizophrenia Patient.

The purpose of this study was to clarify what psychiatric nurses intended to observe when observing schizophrenia patient and what they analyzed from their observations. Twenty-one experienced nurses were included in the study. Data were collected through semi-structured interviews, and content analysis was conducted. The results were as follows:Nurses' intentions in observing patient were [Observation of psychiatric symptoms], [Observation of normality or abnormality], [Possibility of self-harm or harming others], [Side effects of antipsychotics], [Degree of communication disorder], [Degree of self-care], [Observation of nutritional status], [Effects of external stimuli on patient], and [Less importance of observing doctor]. Nurses' analysis contents were [Analysis of psychiatric symptoms], [No risk of self-harm or harming others], [Effects of antipsychotics], [Presence of communication disorder], [Lack of trust in doctor], [Problems in daily life], [Consideration of future nursing intervention], [Assessment of normality or abnormality], [Unhealthy physical state], and [Unnecessary analysis]. The results of this study revealed the nurses' observational process. J. Med. Invest. 71 : 54-61, February, 2024.

Correlation between desynchrony of hippocampal neural activity and hyperlocomotion in the model mice of schizophrenia and therapeutic effects of aripiprazole.

AIMS: The hippocampus has been reported to be morphologically and neurochemically altered in schizophrenia (SZ). Hyperlocomotion is a characteristic SZ-associated behavioral phenotype, which is associated with dysregulated dopamine system function induced by hippocampal hyperactivity. However, the neural mechanism of hippocampus underlying hyperlocomotion remains largely unclear. METHODS: Mouse pups were injected with N-methyl-D-aspartate receptor antagonist (MK-801) or vehicle twice daily on postnatal days (PND) 7-11. In the adulthood phase, one cohort of mice underwent electrode implantation in field CA1 of the hippocampus for the recording local field potentials and spike activity. A separate cohort of mice underwent surgery to allow for calcium imaging of the hippocampus while monitoring the locomotion. Lastly, the effects of atypical antipsychotic (aripiprazole, ARI) were evaluated on hippocampal neural activity. RESULTS: We found that the hippocampal theta oscillations were enhanced in MK-801-treated mice, but the correlation coefficient between the hippocampal spiking activity and theta oscillation was reduced. Consistently, although the rate and amplitude of calcium transients of hippocampal neurons were increased, their synchrony and correlation to locomotion speed were disrupted. ARI ameliorated perturbations produced by the postnatal MK-801 treatment. CONCLUSIONS: These results suggest that the disruption of neural coordination may underly the neuropathological mechanism for hyperlocomotion of SZ.

Behavioral evidence of impaired self-referential processing in patients with affective disorders and first-episode schizophrenia.

Despite the critical role of self-disturbance in psychiatric diagnosis and treatment, its diverse behavioral manifestations remain poorly understood. This investigation aimed to elucidate unique patterns of self-referential processing in affective disorders and first-episode schizophrenia. A total of 156 participants (41 first-episode schizophrenia [SZ], 33 bipolar disorder [BD], 44 major depressive disorder [MDD], and 38 healthy controls [HC]) engaged in a self-referential effect (SRE) task, assessing trait adjectives for self-descriptiveness, applicability to mother, or others, followed by an unexpected recognition test. All groups displayed preferential self- and mother-referential processing with no significant differences in recognition scores. However, MDD patients showed significantly enhanced self-referential recognition scores and increased bias compared to HC, first-episode SZ, and BD. The present study provides empirical evidence for increased self-focus in MDD and demonstrates that first-episode SZ and BD patients maintain intact self-referential processing abilities. These findings refine our understanding of self-referential processing impairments across psychiatric conditions, suggesting that it could serve as a supplementary measure for assessing treatment response in first-episode SZ and potentially function as a discriminative diagnostic criterion between MDD and BD.

Sex affects transcriptional associations with schizophrenia across the dorsolateral prefrontal cortex, hippocampus, and caudate nucleus.

Schizophrenia is a complex neuropsychiatric disorder with sexually dimorphic features, including differential symptomatology, drug responsiveness, and male incidence rate. Prior large-scale transcriptome analyses for sex differences in schizophrenia have focused on the prefrontal cortex. Analyzing BrainSeq Consortium data (caudate nucleus: n = 399, dorsolateral prefrontal cortex: n = 377, and hippocampus: n = 394), we identified 831 unique genes that exhibit sex differences across brain regions, enriched for immune-related pathways. We observed X-chromosome dosage reduction in the hippocampus of male individuals with schizophrenia. Our sex interaction model revealed 148 junctions dysregulated in a sex-specific manner in schizophrenia. Sex-specific schizophrenia analysis identified dozens of differentially expressed genes, notably enriched in immune-related pathways. Finally, our sex-interacting expression quantitative trait loci analysis revealed 704 unique genes, nine associated with schizophrenia risk. These findings emphasize the importance of sex-informed analysis of sexually dimorphic traits, inform personalized therapeutic strategies in schizophrenia, and highlight the need for increased female samples for schizophrenia analyses.

Australian trial of behavioural activation for people with schizophrenia experiencing negative symptoms: a feasibility randomised controlled trial protocol.

INTRODUCTION: Negative symptoms are frequently experienced by people with schizophrenia. People with negative symptoms often have impaired social functioning and reduced quality of life. There is some evidence that cognitive-behavioural therapy results in a modest reduction in negative symptoms. Behavioural activation may be an effective alternative treatment for negative symptoms.The study aims to examine the feasibility and acceptability of implementing a behavioural activation trial delivered in three community mental health services in South Australia to support adult consumers experiencing negative symptoms of schizophrenia. METHOD AND ANALYSIS: This randomised controlled study will recruit a total of 60 consumers aged 18 years or above with mild-moderate negative symptoms of schizophrenia. The consumers will be randomly allocated to receive behavioural activation plus usual mental healthcare or usual mental healthcare alone. The intervention group will receive twelve 30 min sessions of behavioural activation, which will be delivered twice weekly over 6 weeks. In addition, we aim to recruit nine mental health workers from the three rural mental health services who will complete a 10-week online training programme in behavioural activation. Changes in negative symptoms of schizophrenia and depressive symptoms will be assessed at three time points: (a) at baseline, at 6 weeks and 3 month follow-ups. Changes in health-related quality of life (Short Form F36; secondary outcome) will be assessed at two time points: (a) at baseline and (b) immediately at postintervention after 6 weeks. At the end of the trial, interviews will be conducted with purposively selected mental health workers and consumers. Descriptive statistics and thematic analysis will be used to assess feasibility and acceptability. ETHICS AND DISSEMINATION: The findings from our feasibility study will inform the design of a fully powered randomised controlled trial to test the effectiveness of behavioural activation as a treatment for negative symptoms in schizophrenia. The study protocol was approved by the Central Adelaide Local Health Network Human Research Ethics Committee. The findings from this study will be disseminated through peer-reviewed scientific journals and conferences. TRIAL REGISTRATION NUMBER: ACTRN12623000348651p.

Development of family resource indicators for people with schizophrenic disorder in community by modified Delphi method in Beijing, China.

INTRODUCTION: Most people with schizophrenia in China are supported by their family members in community. The patient's family is confronted with severe care burden and pressure, which directly affects the caregiver's own health and social life, and indirectly affects the patient's rehabilitation. Adequate family resources can reduce the burden and pressure on families. But there is an absence of systematic family resource indicators for people with schizophrenic disorder in China. OBJECTIVES: This study aimed to develop a set of family resource indicators for people with schizophrenic disorder in China. DESIGN: Preliminary family resource indicators were generated and refined by literature review and an expert consultation meeting. Two rounds of email-based Delphi survey were carried out to identify family resource indicators. SETTING: Two rounds of email-based Delphi survey were performed from July to September 2021 in Beijing, China. PARTICIPANTS: There were 15 mental health doctors from community health service centres and four psychiatrists from tertiary hospitals, and two primary care researchers from universities in the first and second rounds Delphi survey. RESULTS: All the 21 experts participated in both rounds of Delphi survey. A total of 46 indicators achieved consensus for inclusion in the final set of indicators after two rounds of Delphi survey. The final set of indicators was grouped into 10 domains: financial support (three indicators), psychological and spiritual support (eight indicators), medical treatment (three indicators), information and education (three indicators), structural support (two indicators), external family resources included social resources (five indicators), cultural resources (two indicators), economic resources (seven indicators), environmental resources (four indicators) and medical resources (nine indicators). CONCLUSIONS: A set of 46 family resource indicators for people with schizophrenic disorder in community was identified by an iterative Delphi process in Beijing, China. However, the indicators still need to be validated by testing in further studies.

In Vivo Reactive Astrocyte Imaging in Patients With Schizophrenia Using Fluorine 18-Labeled THK5351.

Importance: In vivo imaging studies of reactive astrocytes are crucial for understanding the pathophysiology of schizophrenia because astrocytes play a critical role in glutamate imbalance and neuroinflammation. Objective: To investigate in vivo reactive astrocytes in patients with schizophrenia associated with positive symptoms using monoamine oxidase B (MAO-B)-binding fluorine 18 ([18F])-labeled THK5351 positron emission tomography (PET). Design, Setting, and Participants: In this case-control study, data were collected from October 1, 2021, to January 31, 2023, from the internet advertisement for the healthy control group and from the outpatient clinics of Seoul National University Hospital in Seoul, South Korea, for the schizophrenia group. Participants included patients with schizophrenia and age- and sex-matched healthy control individuals. Main Outcomes and Measures: Standardized uptake value ratios (SUVrs) of [18F]THK5351 in the anterior cingulate cortex (ACC) and hippocampus as primary regions of interest (ROIs), with other limbic regions as secondary ROIs, and the correlation between altered SUVrs and Positive and Negative Syndrome Scale (PANSS) positive symptom scores. Results: A total of 68 participants (mean [SD] age, 32.0 [7.0] years; 41 men [60.3%]) included 33 patients with schizophrenia (mean [SD] age, 32.3 [6.3] years; 22 men [66.7%]) and 35 healthy controls (mean [SD] age, 31.8 [7.6] years; 19 men [54.3%]) who underwent [18F]THK5351 PET scanning. Patients with schizophrenia showed significantly higher SUVrs in the bilateral ACC (left, F = 5.767 [false discovery rate (FDR)-corrected P = .04]; right, F = 5.977 [FDR-corrected P = .04]) and left hippocampus (F = 4.834 [FDR-corrected P = .04]) than healthy controls. Trend-level group differences between the groups in the SUVrs were found in the secondary ROIs (eg, right parahippocampal gyrus, F = 3.387 [P = .07]). There were positive correlations between the SUVrs in the bilateral ACC and the PANSS positive symptom scores (left, r = 0.423 [FDR-corrected P = .03]; right, r = 0.406 [FDR-corrected P = .03]) in patients with schizophrenia. Conclusions and Relevance: This case-control study provides novel in vivo imaging evidence of reactive astrocyte involvement in the pathophysiology of schizophrenia. Reactive astrocytes in the ACC may be a future target for the treatment of symptoms of schizophrenia, especially positive symptoms.

Antipsychotic Medication Continuation vs Taper and Discontinuation in Patients With Schizophrenia and Other Nonaffective Psychotic Disorders.

Schizophrenia is a major mental illness that is managed with long-term antipsychotic medication as a standard of care. Antipsychotic medications, however, are associated with many subjective and objective adverse effects. These adverse effects have driven the study of risk-mitigation strategies such as targeted intermittent therapy and dose reduction and drug discontinuation. Randomized controlled trials (RCTs) of these strategies have been synthesized in meta-analysis; both strategies have been associated with no functional benefits and with an increased risk of relapse. The RCTs, however, have been criticized because, in many, patients were abruptly switched to the target dose or too rapidly tapered, thereby predisposing the RCT to failure of the intervention. Two important RCTs examined gradual individualized dose reduction and discontinuation. One, conducted in first-episode psychosis patients who were free from positive symptoms for 6 months, found that, at 18-month follow-up, dose reduction was associated with a higher risk of relapse (number needed to harm [NNH] = 5) and with no functional benefits. However, after return to routine clinical care, at a 7-year follow-up, the dose reduction group had better functional outcomes and similar clinical outcomes relative to the maintenance treatment group. The other RCT, conducted in patients with relapsing psychosis, found that, at a 2-year follow-up, dose reduction was associated with a higher risk of relapse (NNH = 5) and with no improvements in social, cognitive, quality of life, satisfaction, and other domains. Many large nationwide observational studies have found that antipsychotic discontinuation by patients with first-episode psychosis and schizophrenia is associated with increased relapse, rehospitalization, suicide mortality, cardiovascular mortality, and all-cause mortality. There is also the ethical matter that attempts to identify the few who may benefit from antipsychotic dose reduction and discontinuation may compromise the health and stability of the many who require long-term maintenance treatment.

Association Between Clozapine Exposure and Risk of Hematologic Malignancies in Veterans With Schizophrenia.

Objective: The objective of this study was to examine the relationship between clozapine use and hematologic malignancies, using national administrative data from the United States Veterans Health Administration (VHA).Methods: This case-control study of veterans with schizophrenia matched cases with incident hematologic malignancy to 10 controls without hematologic malignancy by gender, age, and time since first schizophrenia diagnosis from October 1999, the beginning of VHA data archives, to June 2022. Schizophrenia diagnoses were identified using International Classification of Diseases, Ninth Revision, code 295.x and International Statistical Classification of Diseases, Tenth Revision, codes F20.x and F25.x from inpatient hospitalization and outpatient encounter data. Additional inclusion criteria were age 18-85 years, no prior history of malignancy, and at least 1 year of antipsychotic exposure. Clozapine exposure was assessed using 3 metrics: any exposure, years of exposure, and cumulative defined daily doses (DDD). Conditional multivariable logistic regression was used to adjust for nonmatched confounding variables.Results: A total of 2,306 veterans with schizophrenia were identified with an incident diagnosis of hematologic malignancy and matched to 23,043 controls. Any prior clozapine exposure was more commonly observed among cases (5.3%) than controls (4.1%) and was significantly different after adjustment (odds ratio [OR], 1.31; 95% CI, 1.08-1.60). Risk was dose-dependent, where cumulative clozapine exposures from 3,000 to 4,999 DDD (OR, 1.78; 95% CI, 1.13-2.79) and ≥5,000 DDD (OR, 1.81; 95% CI, 1.24-2.64) were significantly associated with malignancy risk. Similarly, clozapine exposure of 5 or more years was associated with malignancy risk (OR, 1.88; 95% CI, 1.43-2.47).Conclusion: Consistent with prior report, this study observed an increased risk of hematologic malignancy associated with clozapine exposure. These findings suggest patients receiving clozapine use, particularly those with long-term use, should be closely monitored for hematologic malignancy.