Neural Circuitry and Therapeutic Targeting of Depressive Symptoms in Schizophrenia Spectrum Disorders.

OBJECTIVE: Conceptual similarities between depressive and negative symptoms complicate biomarker and intervention development. This study employed a data-driven approach to delineate the neural circuitry underlying depressive and negative symptoms in schizophrenia spectrum disorders (SSDs). METHODS: Data from three studies were analyzed (157 participants with SSDs) to assess brain-behavior relationships: two neuroimaging studies and a randomized trial of repetitive transcranial magnetic stimulation (rTMS). Partial least squares correlation (PLSC) was used to investigate associations between resting-state functional connectivity and depressive and negative symptoms. Secondary analyses of rTMS trial data (active, N=37; sham, N=33) were used to assess relationships between PLSC-derived symptom profiles and treatment outcomes. RESULTS: PLSC identified three latent variables (LVs) relating functional brain circuitry with symptom profiles. LV1 related a general depressive symptom factor with positive associations between and within the default mode network (DMN), the frontoparietal network (FPN), and the cingulo-opercular network (CON). LV2 related negative symptoms (no depressive symptoms) via negative associations, especially between the FPN and the CON, but also between the DMN and the FPN and the CON. LV3 related a guilt and early wakening depression factor via negative rather than positive associations with the DMN, FPN, and CON. The secondary visual network had a positive association with general depressive symptoms and negative associations with guilt and negative symptoms. Active (but not sham) rTMS applied bilaterally to the dorsolateral prefrontal cortex (DLPFC) reduced general depressive but not guilt-related or negative symptoms. CONCLUSIONS: The results clearly differentiate the neural circuitry underlying depressive and negative symptoms, and segregated across the two-factor structure of depression in SSDs. These findings support divergent neurobiological pathways of depressive symptoms and negative symptoms in people with SSDs. As treatment options are currently limited, bilateral rTMS to the DLPFC is worth exploring further for general depressive symptoms in people with SSDs.

Incidence of Neuroleptic Malignant Syndrome During Antipsychotic Treatment in Children and Youth: A National Cohort Study.

Objective: The incidence of neuroleptic malignant syndrome (NMS), a rare, potentially fatal adverse effect of antipsychotics, among children and youth is unknown. This cohort study estimated NMS incidence in antipsychotic users age 5-24 years and described its variation according to patient and antipsychotic characteristics. Methods: We used national Medicaid data (2004-2013) to identify patients beginning antipsychotic treatment and calculated the incidence of NMS during antipsychotic current use. Adjusted hazard ratios (HRs) assessed the independent contribution of patient and antipsychotic characteristics to NMS risk. Results: The 1,032,084 patients had 131 NMS cases during 1,472,558 person-years of antipsychotic current use, or 8.9 per 100,000 person-years. The following five factors independently predicted increased incidence: age 18-24 years (HR [95% CI] = 2.45 [1.65-3.63]), schizophrenia spectrum and other psychotic disorders (HR = 5.86 [3.16-10.88]), neurodevelopmental disorders (HR = 7.11 [4.02-12.56]), antipsychotic dose >200mg chlorpromazine-equivalents (HR = 1.71 [1.15-2.54]), and first-generation antipsychotics (HR = 4.32 [2.74-6.82]). NMS incidence per 100,000 person-years increased from 1.8 (1.1-3.0) for those with none of these factors to 198.1 (132.8-295.6) for those with 4 or 5 factors. Findings were essentially unchanged in sensitivity analyses that restricted the study data to second-generation antipsychotics, children age 5-17 years, and the 5 most recent calendar years. Conclusion: In children and youth treated with antipsychotics, five factors independently identified patients with increased NMS incidence: age 18-24 years, schizophrenia spectrum and other psychotic disorders, neurodevelopmental disorders, first-generation drugs, and antipsychotic doses greater than 200 mg chlorpromazine-equivalents. Patients with 4 or 5 of these factors had more than 100 times the incidence of those with none. These findings could improve early identification of children and youth with elevated NMS risk, potentially leading to earlier detection and improved outcomes.

Risk of Incident Psychosis and Mania With Prescription Amphetamines.

OBJECTIVE: Amphetamine prescribing has increased in the United States in recent years. Previous research identified an increased risk of incident psychosis with prescription amphetamines. The purpose of this study was to examine the impact of dose levels of prescription amphetamines on the risk of this rare but serious adverse outcome. METHODS: A case-control study using electronic health records was conducted to compare the odds of incident psychosis or mania with past-month exposure to prescription amphetamines. Case subjects were patients ages 16-35 hospitalized at McLean Hospital for incident psychosis or mania between 2005 and 2019. Control subjects were patients with an initial psychiatric hospitalization for other reasons, most commonly depression and/or anxiety. Amphetamine doses were converted to dextroamphetamine equivalents and divided into terciles. Secondary analyses evaluated the odds of psychosis or mania with methylphenidate use. RESULTS: Among 1,374 case subjects and 2,748 control subjects, the odds of psychosis and mania were increased for individuals with past-month prescription amphetamine use compared with no use (adjusted odds ratio=2.68, 95% CI=1.90-3.77). A dose-response relationship was observed; high doses of amphetamines (>30 mg dextroamphetamine equivalents) were associated with 5.28-fold increased odds of psychosis or mania. Past-month methylphenidate use was not associated with increased odds of psychosis or mania compared with no use (adjusted odds ratio=0.91, 95% CI=0.54-1.55). CONCLUSIONS: Although use of hospitalized control subjects excludes individuals with less severe disease, leading to selection bias, the study results suggest that caution should be exercised when prescribing high doses of amphetamines, with regular screening for symptoms of psychosis or mania.

Real-World Effectiveness of Menopausal Hormone Therapy in Preventing Relapse in Women With Schizophrenia or Schizoaffective Disorder.

OBJECTIVE: Antipsychotic effectiveness in preventing relapse declines around menopausal age in women with schizophrenia or schizoaffective disorder (SSD). It is not known whether systemic menopausal hormone therapy (MHT) can help to prevent psychosis relapse. METHODS: A within-subject study design was used to study the effectiveness of MHT in preventing relapse in a Finnish nationwide cohort of women with SSD between 40 and 62 years of age who used MHT during follow-up (1994-2017). Hazard ratios adjusted for age and psychotropic drug use were calculated for psychosis relapse as main outcome and any psychiatric hospitalization as secondary outcome. RESULTS: The study population comprised 3,488 women using MHT. Use of MHT was associated with a 16% lower relapse risk (adjusted hazard ratio [aHR]=0.84, 95% CI=0.78-0.90) when compared to non-use. Stratified by age, MHT was associated with decreased relapse risks when used between ages 40-49 (aHR=0.86, 95% CI=0.78-0.95) and ages 50-55 (aHR=0.74, 95% CI=0.66-0.83), but not between ages 56-62 (aHR=1.11, 95% CI=0.91-1.37). Similar effectiveness was found for estrogen alone or combined with fixed or sequential progestogens (aHRs between 0.79 and 0.86), transdermal and oral formulations (aHRs 0.75-0.87), and for most specific formulations (aHRs 0.75-0.85), except tibolone (aHR=1.04, 95% CI=0.75-1.44) and formulations with dydrogesterone (aHR=1.05, 95% CI=0.85-1.30). Similar results were observed with any psychiatric hospitalization as outcome measure. CONCLUSIONS: The findings underscore the potential value of MHT in preventing psychosis relapse among women with SSD of menopausal age. These findings translate clinical evidence on the neuroprotective effects of estrogens to real-world settings, encompassing a group of women for whom current antipsychotic treatment options may be insufficient.

High Burden of Ileus and Pneumonia in Clozapine-Treated Individuals With Schizophrenia: A Finnish 25-Year Follow-Up Register Study.

OBJECTIVE: The authors used longitudinal biobank data with up to 25 years of follow-up on over 2,600 clozapine users to derive reliable estimates of the real-world burden of clozapine adverse drug events (ADEs). METHODS: A total of 2,659 participants in the FinnGen biobank project had a schizophrenia diagnosis and clozapine purchases with longitudinal electronic health record follow-up for up to 25 years after clozapine initiation. Diseases and health-related events enriched during clozapine use were identified, adjusting for disease severity. The incidence and recurrence of ADEs over years of clozapine use, their effect on clozapine discontinuation and deaths, and their pharmacogenetics were studied. RESULTS: Median follow-up time after clozapine initiation was 12.7 years. Across 2,157 diseases and health-related events, 27 were enriched during clozapine use, falling into five disease categories: gastrointestinal hypomotility, seizures, pneumonia, other acute respiratory tract infections, and tachycardia, along with a heterogeneous group including neutropenia and type 2 diabetes, among others. Cumulative incidence estimates for ileus (severe gastrointestinal hypomotility) and pneumonia were 5.3% and 29.5%, respectively, 20 years after clozapine initiation. Both events were significantly associated with increased mortality among clozapine users (ileus: odds ratio=4.5; pneumonia: odds ratio=2.8). Decreased genotype-predicted CYP2C19 and CYP1A2 activities were associated with higher pneumonia risk. CONCLUSIONS: Clozapine-induced ileus and pneumonia were notably more frequent than has previously been reported and were associated with increased mortality. Two CYP genes influenced pneumonia risk. Pneumonia and ileus call for improved utilization of available preventive measures.

Reproducible gut microbial signatures in bipolar and schizophrenia spectrum disorders: A metagenome-wide study.

BACKGROUND: Numerous studies report gut microbiome variations in bipolar disorder (BD) and schizophrenia spectrum disorders (SSD) compared to healthy individuals, though, there is limited consensus on which specific bacteria are associated with these disorders. METHODS: In this study, we performed a comprehensive metagenomic shotgun sequencing analysis in 103 Dutch patients with BD/SSD and 128 healthy controls matched for age, sex, body mass index and income, while accounting for diet quality, transit time and technical confounders. To assess the replicability of the findings, we used two validation cohorts (total n = 203), including participants from a distinct population with a different metagenomic isolation protocol. RESULTS: The gut microbiome of the patients had a significantly different ß-diversity, but not α-diversity nor neuroactive potential compared to healthy controls. Initially, twenty-six bacterial taxa were identified as differentially abundant in patients. Among these, the previously reported genera Lachnoclostridium and Eggerthella were replicated in the validation cohorts. Employing the CoDaCoRe learning algorithm, we identified two bacterial balances specific to BD/SSD, which demonstrated an area under the receiver operating characteristic curve (AUC) of 0.77 in the test dataset. These balances were replicated in the validation cohorts and showed a positive association with the severity of psychiatric symptoms and antipsychotic use. Last, we showed a positive association between the relative abundance of Klebsiella and Klebsiella pneumoniae with antipsychotic use and between the Anaeromassilibacillus and lithium use. CONCLUSIONS: Our findings suggest that microbial balances could be a reproducible method for identifying BD/SSD-specific microbial signatures, with potential diagnostic and prognostic applications. Notably, Lachnoclostridium and Eggerthella emerge as frequently occurring bacteria in BD/SSD. Last, our study reaffirms the previously established link between Klebsiella and antipsychotic medication use and identifies a novel association between Anaeromassilibacillus and lithium use.

Disengagement from the Ribeirão Preto early intervention program for psychosis: A retrospective cohort study.

BACKGROUND: Treatment discontinuation within Early Intervention Services (EIS) for psychosis poses a significant challenge to achieving better outcomes in the early stages of psychotic disorders. Prevalence and predictors of early disengagement from EIS located in low- and middle-income countries (LMICs) remain poorly investigated. We aimed to examine the rates and predictors of disengagement from the Ribeirão Preto Early Intervention Program for Psychosis (Ribeirão Preto-EIP) in Brazil. METHODS: We conducted a retrospective cohort study using data from patients referred to the Ribeirão Preto-EIP between January 01, 2015, and December 31, 2018. Exclusion criteria were individuals with a single consultation, a diagnosis other than a psychotic disorder, and documented cases of death. RESULTS: Our sample comprised 234 patients, with an overall median follow-up time of 14.2 months. Early treatment disengagement was observed in 26.5 % (n=62), with a median time to disengagement of 5.25 months. Univariable analysis identified non-white skin color (HR=2.10, 95 %CI 1.26-3.49), positive THC screening (HR=2.22, 95 %CI 1.23-4.01), and substance-induced psychosis (HR=2.15, 95 %CI 1.10-4.21) as significant predictors. In multivariable analysis, only non-white skin color remained a significant predictor of early disengagement (HR=1.87, 95 %CI 1.08-3.27). CONCLUSIONS: The observed rates of early disengagement in our sample are similar to those reported in wealthy countries, but higher than previously reported for LMICs. Non-white skin color predicted early disengagement in our sample, probably due to social disadvantages. Our data highlights the need for enhanced research elucidating the specific features of EIS in LMICs.

Evaluation of major adverse events of clozapine based on accordance to an international titration guideline.

Introduction: Clozapine is the only antipsychotic approved for treatment-resistant schizophrenia, but without appropriate monitoring, it can be associated with potentially fatal outcomes. An International Adult Clozapine Titration Guideline categorizes patients into normal or slow metabolizers. Categorization provides clozapine titration schedules and recommends regular c-reactive protein (CRP) and clozapine concentration monitoring to reduce the risk of adverse drug reactions (ADRs). The impact of the guideline on clozapine ADRs has not been evaluated. Methods: A retrospective chart review assessed clozapine titrations, laboratory monitoring, ADRs, and discontinuations for clozapine-naive adult inpatients at a single center from January 1, 2013, to June 1, 2022. Each patient's cumulative weekly clozapine dosage was compared with their guideline recommended dosage to create a percent accordance. Linear logistic regression evaluated the relationship between titration speed and the presence of an ADR, while descriptive statistics analyzed laboratory monitoring. Results: Forty-three patients were included, with the majority being White males with schizophrenia. An inverse relationship existed between the last inpatient week clozapine dose percent accordance and the probability of an ADR. Nonobese patients were less likely than obese patients to experience an ADR (odds ratio = 0.17; 95% CI, 0.03-0.99). CRP and clozapine concentration monitoring was suboptimal. Discussion: Based on our small retrospective review of primarily White males, more aggressive clozapine titrations did not increase ADRs. Future studies with more diverse samples are needed and should focus on specific ADRs, which may have increased occurrence with rapid titrations. Obese patients were at higher risk of ADRs, correlating with the guideline-recommended slower titrations for these patients.

Aberrant salience mediates the interplay between emotional abuse and positive symptoms in schizophrenia.

INTRODUCTION: Childhood trauma and adversities (CTA) and aberrant salience (AS) have a pivotal role in schizophrenia development, but their interplay with psychotic symptoms remains vague. We explored the mediation performed by AS between CTA and psychotic symptomatology in schizophrenia. METHODS: We approached 241 adults suffering from schizophrenia spectrum disorders (SSDs), who have been in the unit for at least 12 consecutive months, excluding the diagnosis of dementia, and recent substance abuse disorder, and cross-sectional evaluated through the Aberrant Salience Inventory (ASI), Childhood Trauma Questionnaire Short-Form (CTQ-SF), and Positive and Negative Symptom Scale (PANSS). We tested a path-diagram where AS mediated the relationship between CTA and psychosis, after verifying each measure one-dimensionality through confirmatory factor analysis. RESULTS: The final sample comprised 222 patients (36.9% female), with a mean age of 42.4 (± 13.3) years and an average antipsychotic dose of 453.6 (± 184.2) mg/day (chlorpromazine equivalents). The mean duration of untreated psychosis was 1.8 (± 2.0) years while the mean onset age was 23.9 (± 8.2) years. Significant paths were found from emotional abuse to ASI total score (ß = 0.39; p < .001) and from ASI total score to PANSS positive (ß = 0.17; p = .019). Finally, a statistically significant indirect association was found from emotional abuse to PANSS positive mediated by ASI total score (ß = 0.06; p = .041; CI 95% [0.01, 0.13]). CONCLUSION: Emotional abuse has an AS-mediated effect on positive psychotic symptomatology. AS evaluation could allow a better characterization of psychosis as well as explain the presence of positive symptoms in adults with SSDs who experienced CTA.

Capacity to Consent in Healthcare: A Systematic Review and Meta-Analysis Comparing Patients with Bipolar Disorders and Schizophrenia Spectrum Disorders.

Background: Mental capacity is a fundamental aspect that enables patients to fully participate in various healthcare procedures. To assist healthcare professionals (HCPs) in assessing patients' capacity, especially in the mental health field, several standardized tools have been developed. These tools include the MacArthur Competence Assessment Tool for Treatment (MacCAT-T), the MacArthur Competence Assessment Tool for Clinical Research (MacCAT-CR), and the Competence Assessment Tool for Psychiatric Advance Directives (CAT-PAD). The core dimensions explored by these tools include Understanding, Appreciation, Reasoning, and Expression of a choice. Objective: This meta-analysis aimed to investigate potential differences in decision-making capacity within the healthcare context among groups of patients with bipolar disorders (BD) and schizophrenia spectrum disorders (SSD). Methods: A systematic search was conducted on Medline/Pubmed, and Scopus. Additionally, Google Scholar was manually inspected, and a manual search of emerging reviews and reference lists of the retrieved papers was performed. Eligible studies were specifically cross-sectional, utilizing standardized assessment tools, and involving patients diagnosed with BD and SSD. Data from the studies were independently extracted and pooled using random-effect models. Hedges' g was used as a measure for outcomes. Results: Six studies were identified, with three studies using the MacCAT-CR, two studies the MacCAT-T, and one the CAT-PAD. The participants included 189 individuals with BD and 324 individuals with SSD. The meta-analysis revealed that patients with BD performed slightly better compared to patients with SSD, with the difference being statistically significant in the domain of Appreciation (ES = 0.23, 95% CI: 0.01 to 0.04, p = 0.037). There was no statistically significant difference between the two groups for Understanding (ES = 0.09, 95% CI:-0.10 to 0.27, p = 0.352), Reasoning (ES = 0.18, 95% CI: -0.12 to 0.47, p = 0.074), and Expression of a choice (ES = 0.23, 95% CI: -0.01 to 0.48, p = 0.60). In the sensitivity analysis, furthermore, when considering only studies involving patients in symptomatic remission, the difference for Appreciation also resulted in non-significant (ES = 0.21, 95% CI: -0.04 to 0.46, p = 0.102). Conclusions: These findings indicate that there are no significant differences between patients with BD and SSD during remission phases, while differences are minimal during acute phases. The usefulness of standardized assessment of capacity at any stage of the illness should be considered, both for diagnostic-therapeutic phases and for research and advance directives. Further studies are necessary to understand the reasons for the overlap in capacity between the two diagnostic categories compared in this study.