Differing Prevalence and Correlates of Metabolic Syndromes Between Chlorpromazine and Clozapine: A 10-year Retrospective Study of a Male Chinese Cohort

Sex-specific associations between 10-year cardiovascular risk, clinical symptoms and cognitive impairments in schizophrenia

BACKGROUND

Schizophrenia (SCZ) shortens life expectancy, with cardiovascular disease (CVD) as the leading cause of death. The links between psychiatric symptoms, cognitive function and CVD are unclear, and sex differences in this relationship are understudied. This study examined the relationship between clinical characteristics and 10-year cardiovascular risk in males and females with SCZ.

METHODS

This study included 802 patients with chronic SCZ. Fasting venous blood samples were collected from all patients to measure relevant glycolipid metabolic indices. The Positive and Negative Syndrome Scale (PANSS) was used to assess psychiatric symptoms. Cognitive function was evaluated using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The Framingham risk score (FRS) was used to estimate the 10-year CVD risk.

RESULTS

The mean 10-year cardiovascular risk for all patients was 11.76 ± 8.99%. Among patients with SCZ, 52.8% exhibited an intermediate-high 10-year cardiovascular risk. Multivariate linear regression analysis showed that FRS increased with higher body mass index, blood pressure, glucose, total cholesterol and triglyceride levels, while it was inversely related to high density lipoprotein levels. The general psychopathological scores were negatively associated with FRS (male: B = - 0.086, P = 0.013; female: B = - 0.056, P = 0.039). Negative symptom (B = - 0.088, P = 0.024) and total PANSS scores (B = - 0.042, P = 0.013) showed a negative association with FRS only in males. Additionally, in patients over 60 years old, general psychopathology (B = - 0.168, P = 0.001) and PANSS total scores (B = - 0.057, P = 0.041) were associated with reduced FRS, while immediate memory (B = 0.073, P = 0.025) was associated with higher FRS.

CONCLUSION

Patients with SCZ have an elevated risk of developing CVD, with males showing a higher 10-year cardiovascular risk than females. Significant sex differences exist in the relationship between the FRS and psychiatric symptoms, with negative symptoms being negatively related to FRS only in males.

Antipsychotic-Related DRESS Syndrome: Analysis of Individual Case Safety Reports of the WHO Pharmacovigilance Database

INTRODUCTION

Drug reaction with eosinophilia and systemic symptoms (DRESS) syndrome is gaining attention in pharmacovigilance, but its association with antipsychotics, other than clozapine, is still unclear.

METHODS

We conducted a case/non-case study with disproportionality analysis based on the World Health Organization (WHO) global spontaneous reporting database, VigiBase®. We analyzed individual case safety reports of DRESS syndrome related to antipsychotics compared to (1) all other medications in VigiBase®, (2) carbamazepine (a known positive control), and (3) within classes (typical/atypical) of antipsychotics. We calculated reporting odds ratio (ROR) and Bayesian information component (IC), with 95% confidence intervals (CIs). Disproportionate reporting was prioritized based on clinical importance, according to predefined criteria. Additionally, we compared characteristics of patients reporting with serious/non-serious reactions.

RESULTS

A total of 1534 reports describing DRESS syndrome for 19 antipsychotics were identified. The ROR for antipsychotics as a class as compared to all other medications was 1.0 (95% CI 0.9-1.1). We found disproportionate reporting for clozapine (ROR 2.3, 95% CI 2.1-2.5; IC 1.2, 95% CI 1.1-1.3), cyamemazine (ROR 2.3, 95% CI 1.5-3.5; IC 1.2, 95% CI 0.5-1.7), and chlorpromazine (ROR 1.5, 95% CI 1.1-2.1; IC 0.6, 95% CI 0.1-1.0). We found 35.7% of cases with co-reported anticonvulsants, and 25% with multiple concurrent antipsychotics in serious compared to 8.6% in non-serious cases (p = 0.03). Fatal cases were 164 (10.7%).

CONCLUSIONS

Apart from the expected association with clozapine, chlorpromazine and cyamemazine (sharing an aromatic heteropolycyclic molecular structure) emerged with a higher-than-expected reporting of DRESS. Better knowledge of the antipsychotic-related DRESS syndrome should increase clinicians' awareness leading to safer prescribing of antipsychotics.

High circulating MIF levels indicate the association with atypical antipsychotic-induced adverse metabolic effects

Atypical antipsychotics (AAPs) are primary medications for schizophrenia (SZ). However, their use is frequently associated with the development of adverse metabolic effects, and the mechanisms behind these negative effects remain inadequately elucidated. To investigate the role of macrophage migration inhibitory factor (MIF) in regulating antipsychotic-induced metabolic abnormalities, between 2017 and 2020, a cross-sectional study was conducted, involving 142 healthy individuals and 388 SZ patients undergoing treatment with either typical antipsychotic (TAP) or AAP medications. Symptoms of SZ patients were evaluated using the Positive and Negative Syndrome Scale (PANSS), and measurements of metabolic indices and plasma MIF levels were performed on all individuals. A significant increase in plasma MIF levels was observed in groups receiving five major AAP monotherapies in comparison to healthy controls (all p < 0.0001). There was no such increase shown in the group receiving TAP treatment (p > 0.05). Elevated plasma MIF levels displayed a notable correlation with insulin resistance (β = 0.024, p = 0.020), as well as with the levels of triglycerides (β = 0.019, p = 0.001) and total cholesterol (β = 0.012, p = 0.038) in the groups receiving AAPs. However, while the TAP group also displayed certain metabolic dysfunction compared to healthy controls, no significant association was evident with plasma MIF levels (all p > 0.05). In conclusion, plasma MIF levels exhibit a distinctive correlation with metabolic abnormalities triggered by AAPs. Hence, there is potential for further development of MIF as a distinctive marker for monitoring adverse metabolic effects induced by AAPs in clinical settings.

Profiles and diagnostic value of intestinal microbiota in schizophrenia patients with metabolic syndrome

Aims/hypothesis

It is widely thought that the intestinal microbiota plays a significant role in the pathogenesis of metabolic disorders. However, the gut microbiota composition and characteristics of schizophrenia patients with metabolic syndrome (MetS) have been largely understudied. Herein, we investigated the association between the metabolic status of mainland Chinese schizophrenia patients with MetS and the intestinal microbiome.

Methods

Fecal microbiota communities from 115 male schizophrenia patients (57 with MetS and 58 without MetS) were assessed by 16S ribosomal RNA gene sequencing. We assessed the variations of gut microbiome between both groups and explored potential associations between intestinal microbiota and parameters of MetS. In addition, the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) based on the KEGG database was used to predict the function of intestinal microbiota. We also conducted Decision Tree Analysis to develop a diagnostic model for the MetS in patients with schizophrenia based on the composition of intestinal microbiota.

Results

The fecal microbial diversity significantly differed between groups with or without MetS (α-diversity (Shannon index and Simpson index): p=0.0155, p=0.0089; β-diversity: p=0.001). Moreover, the microbial composition was significantly different between the two groups, involving five phyla and 38 genera (p<0.05). In addition, a significant correlation was observed between the metabolic-related parameters and abundance of altered microbiota including HDL-c (r2 = 0.203, p=0.0005), GLU (r2 = 0.286, p=0.0005) and WC (r2 = 0.061, p=0.037). Furthermore, KEGG pathway analysis showed that 16 signaling pathways were significantly enriched between the two groups (p<0.05). Importantly, our diagnostic model based on five microorganisms established by decision tree analysis could effectively distinguish between patients with and without MetS (AUC = 0.94).

Conclusions/interpretation

Our study established the compositional and functional characteristics of intestinal microbiota in schizophrenia patients with MetS. These new findings provide novel insights into a better understanding of this disease and provide the theoretical basis for implementing new interventional therapies in clinical practice.

The role of metformin in treatment of weight gain associated with atypical antipsychotic treatment in children and adolescents: A systematic review and meta-analysis of randomized controlled trials

INTRODUCTION

Second-generation antipsychotics are associated with significant weight gain. The aim of this systematic review and meta-analysis was to determine the efficacy and safety of metformin for the treatment of weight gain in children and young adults treated with second-generation antipsychotics.

METHODS

We followed PRISMA guidelines to evaluated studies published before March 2020 in Medline, Google Scholar, PubMed, Cochrane library database, annual scientific sessions of the American Psychiatric Association, American Academy of Child and Adolescent, Psychiatry, and American Society of Clinical Psychopharmacology. Studies included compared metformin with the placebo for management of weight gain in children and adolescents taking atypical antipsychotics. Non-randomized studies, animal experiment studies, editorials, and review studies were excluded. Multiple parameters, including change in anthropometric-biochemical parameters, drug discontinuation rate, and side effects among the groups were assessed. The random-effects method was used for meta-analysis.

RESULTS

Four studies with were included in the final analysis (213 patients; metformin: 106; control: 107). After pooled analysis, 12-16 weeks of metformin therapy was associated with a significant reduction in weight [(mean difference (MD): -4.53 lbs, confidence interval (CI): -6.19 to -2.87, p-value < 0.001)], and BMI z score [MD, -0.09, CI: -0.16, -0.03, p-value: 0.004] compared to control. Metformin was also associated with a significant reduction in insulin resistance [MD: -1.38, CI: -2.26 to -0.51, p-value: 0.002]. There were higher odds of nausea-vomiting [OR: 4.07, CI: 1.32-12.54, p-value: 0.02] and diarrhea [OR: 2.93, CI: 1.50-5.71, p-value: 0.002] in the metformin group. However, there was no difference in drug discontinuation rate [OR: 1.45, CI: 0.41-5.06, p-value: 0.56].

CONCLUSION

Metformin may prove beneficial in the treatment of weight gain in children treated with second-generation antipsychotics. The pooled treatment effect showed a significant reduction in BMI Z-score and weight in just 12-16 weeks. The limitations include small sample size, variation in metformin dose, and duration of treatment. This meta-analysis should be interpreted as promising, and further larger studies are warranted before drawing a conclusion.