Prevalence of metabolic syndrome and metabolic abnormalities in schizophrenia and related disorders--a systematic review and meta-analysis

We like to move it - patients with schizophrenia spectrum disorders are impaired in estimating their physical fitness levels and benefit from individualized exercise

BACKGROUND

People with schizophrenia spectrum disorders (SSD) engage less in physical activity than healthy individuals. The impact of subjectively assessed physical fitness levels on motivation for sports engagement and its relation to objective fitness parameters in SSD is unclear.

METHODS

25 patients with SSD (P-SSD) and 24 healthy controls (H-CON) participated in a randomized controlled study. Individual anaerobic thresholds (AT) were determined by an incremental exercise test and on separate days, aerobic exercise (cycling at 80% of workload at AT) and non-exercise control (sitting on an ergometer without cycling) sessions were performed. Demographic, clinical and objective physical fitness data (i.e., weekly physical activity, workload at AT, heart rate) were collected. Subjective physical fitness parameters were assessed before and after exercise and control sessions.

RESULTS

Weekly physical activity in P-SSD was lower than in H-CON (p < 0.05) attributed to reduced engagement in sport activities (p < 0.001). Workload and percentage of predicted maximal heart rate at AT were also reduced in P-SSD compared to H-CON (both p < 0.05). Although objective and subjective physical fitness parameters were related in H-CON (p < 0.01), this relationship was absent in P-SSD. However, during exercise sessions subjective physical fitness ratings increased to a stronger extent in P-SSD than H-CON (p < 0.05).

CONCLUSION

The missing relationship between subjective and objective physical fitness parameters in people with SSD may represent a barrier for stronger engagement in physical activity. Accordingly, supervised exercise interventions with individually adjusted workload intensity may support realistic subjective fitness estimations and enhance motivation for sports activity in individuals with SSD.

Age-related variations in heart rate variability profiles among patients with schizophrenia and major depressive disorder

Patients with psychiatric disorders exhibit general autonomic dysregulation and elevated cardiovascular risks, which could be indexed by heart rate variability (HRV). However, HRV is susceptible to age and other patient-specific factors. This study aimed to investigate the HRV profile and age-related variations, as well as the potential influence of sex, BMI, and HR on HRV in psychiatric populations. There were 571 consecutive patients diagnosed with schizophrenia (SZ) (N = 282) or major depressive disorder (MDD) (N = 289) recruited and classified as adolescent (11-21 years) and adult (> 21 years) groups. HRV indices were measured with 3-minute resting ECG recordings. Compared to adolescent subjects, all time-domain and nonlinear HRV indices were notably reduced in adults, while frequency-domain HRV was comparable. Between SZ and MDD groups, only HTI differed significantly. Age and psychiatric disorders exhibited complex interaction effects on HRV. Stratified by age stage, MDD patients exhibited slightly higher HRV in adolescence but slightly lower HRV in adulthood. In logistic regression analysis, HTI and SD2 were significantly distinctive between adolescents and adults in MDD group, while pNN50 was distinctive in SZ group. Moreover, female subjects demonstrated lower time-domain HRV, LF/HF and SD2 than males. HR exhibited inverse relationship with three domain HRV. No significant effect of BMI was observed. In psychiatric populations, compared to adolescents, adults decreased in time-domain and nonlinear HRV, but not in frequency-domain HRV. Age and psychotic disorders exhibited complex interaction effects on HRV. Sex and HR also emerged as important influencing factors of HRV.

Clozapine-Related Tachycardia: An Analysis of Incidence

BACKGROUND AND OBJECTIVES

Sinus tachycardia commonly occurs at the start of clozapine treatment, often leading to discontinuation owing to perceived adverse cardiovascular effects. However, little evidence exists on its natural course after clozapine initiation. We aimed to determine the frequency and course of clozapine-induced tachycardia over the first month of treatment and to identify possible risk factors METHODS: In this cross-sectional study, we serially monitored heart rates (HRs) and other clinical variables of psychiatric inpatients commencing clozapine over the first 28 days. HRs were plotted over time and modelled by explanatory variables, including age group, sex, body mass index (BMI), smoking status and prescribed medications for HR.

RESULTS

In total, 123 consecutive inpatients undergoing clozapine titration were assessed daily, with 2901 HR measures collected. After starting clozapine, mean HR increased from 83.7 to 99.5 beats per minute (bpm). Almost all participants (93.5%) had at least one recorded HR > 100 bpm, and 68% had three consecutive days with HR > 100 bpm (being then defined as tachycardic). At least one HR > 120 bpm was recorded in 35.8%, and 8% had persistent HRs > 120 bpm. Tachycardia occurred early during clozapine titration, with a dose response effect at lower doses, which plateaued between 150 and 350 mg daily. Tachycardia spontaneously resolved for some but 44% remained tachycardic at day 28. Female sex was associated with early tachycardia at day 14 (p = 0.008) but not at day 28, while age, smoking status, and BMI were not significantly associated with tachycardia.

CONCLUSIONS

Sinus tachycardia occurred in over two thirds of participants during the first month of clozapine titration. Spontaneous resolution of tachycardia in some suggests watchful monitoring may be appropriate prior to treatment with rate-controlling agents such as β-blockers or ivabradine. Long term follow-up is required to determine the effects of sinus tachycardia on cardiovascular outcomes in patients treated with clozapine.

Metabolic Syndrome and Schizophrenia: Adding a Piece to the Interplay Between the Kynurenine Pathway and Inflammation

The biology of schizophrenia is highly complex and multifaceted. Numerous efforts have been made over the years to disentangle the heterogeneity of the disease, gradually leading to a more detailed understanding of its underlying pathogenic mechanisms. Two cardinal elements in the pathophysiology of schizophrenia are neuroinflammation and alterations of neurotransmission. The kynurenine (KYN) pathway (KP) is of particular importance because it is inducted by systemic low-grade inflammation in peripheral tissues, producing metabolites that are neuroactive (i.e., modulating glutamatergic and cholinergic neurotransmission), neuroprotective, or neurotoxic. Consequently, the KP is at the crossroads between two primary systems involved in the pathogenesis of schizophrenia. It bridges the central nervous system (CNS) and the periphery, as KP metabolites can cross the blood-brain barrier and modulate neuronal activity. Metabolic syndrome plays a crucial role in this context, as it frequently co-occurs with schizophrenia, contributing to a sub-inflammatory state able to activate the KP. This narrative review provides valuable insights into these complex interactions, offering a framework for developing targeted therapeutic interventions or precision psychiatry approaches of the disorder.

Metabolic Monitoring for Adults Living with a Serious Mental Illness on a Second-Generation Antipsychotic Agent: A Scoping Review

Premature mortality in people living with a severe mental illness (SMI) is often attributed to multiple factors including the use of medicines such as antipsychotics. Second-generation antipsychotics (SGAs) are known to cause metabolic syndrome which can increase the risk of cardiovascular disease. Practice guidelines have recommended regular physical health monitoring, particularly of metabolic parameters, however, metabolic monitoring for people living with SMI using antipsychotics remains suboptimal. Therefore, highlighting the need for ongoing research. This scoping review aimed to provide an overview of current metabolic monitoring practices. We anticipate that this information will assist clinicians and policymakers and inform future research. The following databases were searched: MEDLINE (Ovid), Embase (Ovid), CINAHL (EBSCO), the Cochrane Database of Systemic Reviews (Wiley), APA PsycInfo (Ovid) and Scopus (Elsevier Science Publishers). The target group was adults (aged ≥ 18) diagnosed with SMI (including bipolar disorder, major depressive disorder and psychotic disorders) and taking SGAs. In total, 44 studies from 14 countries were retrieved. Our findings highlighted that most studies conducted in hospitals did not report on metabolic monitoring practices. Additionally, the roles and responsibilities of healthcare professionals in metabolic monitoring for SMI were infrequently described and parameters such as waist circumference and BMI were often poorly monitored. The scoping review highlights that no streamlined approach towards metabolic monitoring currently exists. There is a need to stipulate and define the roles and responsibilities of all health professionals involved in metabolic monitoring in SMI to optimise care for these individuals. Moreover, there is a need for ongoing research, particularly in the community setting, to promote increased accessibility to metabolic monitoring for SMI.

Prevalence of metabolic syndrome and its association with selected factors among people with psychiatric conditions in Ethiopia: a systematic review and meta-analysis

BACKGROUND

Metabolic syndrome is a cluster of metabolic risk factors, including glucose intolerance, dyslipidemia, central obesity, high triglyceride levels, and low levels of high-density lipoprotein. It is the commonest type of co-morbidity among people with psychiatric conditions particularly in low and middle-income countries due to poor health care systems and financial burden. Metabolic syndrome among people with psychiatric conditions may be due to prolonged use of psychiatric medications, diminished quality of life, and personal and behavioral-related factors. Except for single studies with fluctuating reports, there is no nationwide study conducted on the prevalence of metabolic syndrome among people with psychiatric conditions in Ethiopia. Thus, this review aims to estimate the pooled prevalence of metabolic syndrome and its association with selected factors among people with psychiatric conditions in Ethiopia.

METHODS

We conducted a thorough search of PubMed, Scopus, Wiley online library, African journals online, and Google Scholar. For analysis, STATA version 14 software was used. A funnel plot and Egger's regression test statistic were used to find the potential reporting bias. A fixed effect model was used to contrast summary effects, odds ratios, and 95% confidence intervals all over research findings. The Newcastle-Ottawa Scale (NOS) was used to evaluate the quality of each included study.

RESULTS

Eight articles were included in the final review after retrieving 9,714 articles through electronic database searching. By using the national cholesterol education adult treatment panel criteria, the pooled prevalence of metabolic syndrome among people with psychiatric conditions in Ethiopia was found to be 37.33% (95%CI: 24.52-50.14). Being female AOR = 2.66; 95% CI: 0.89, 7.92), urban residency (AOR = 2.84; 95% CI: 0.56, 14.45), physical inactivity (AOR = 3.80; 95% CI: 1.61, 8.98), alcohol consumption (AOR = 4.53; 95% CI: 1.62, 12.71) and body mass index higher than the normal range (AOR = 4.66; 95% CI: 1.22, 17.85) were the factors significantly associated with metabolic syndrome among people with psychiatric conditions. According to the review, schizophrenic-form disorder, delusional disorder, major depressive disorder, schizophrenia, bipolar disorder, and schizoaffective disorder were the frequently reported psychiatric conditions.

CONCLUSION

This systematic review and meta-analysis revealed that the magnitude of metabolic syndrome among people with psychiatric conditions in Ethiopia was high and female gender, physical inactivity, alcohol consumption, and body mass index higher than the normal range were the factors that determined the occurrence of metabolic syndrome. Thus, policymakers, clinicians, and other concerned stakeholders must reinforce effective strategies in the control, timely screening, prevention, and management of metabolic syndrome among people with psychiatric conditions.

PROTOCOL REGISTRATION

PROSPERO CRD42023405293.

Cardiovascular comorbidities in Chinese inpatients with schizophrenia spectrum disorders

Cardiovascular diseases (CVDs) are the leading cause of premature mortality in patients with schizophrenia spectrum disorders (SSDs). However, the detailed categorization of these conditions remains insufficiently explored. This study aims to identify CVDs comorbidity patterns among inpatients with SSDs and to investigate associated factors. Electronic medical records (EMRs) data from three neuropsychiatric hospitals (2015-2023) in China was conducted. Comorbidity patterns were revealed through latent class analysis (LCA), and multinomial logit analysis were utilized to evaluate the effect of factors on these patterns, calculating odds ratios (ORs) and 95% confidence intervals (CIs). Among the 2830 inpatients with SSD, four distinct comorbidity patterns were identified based on their dominant characteristics: low-risk CVDs (47.86%), primary hypertension (30.15%), heart failure (12.99%), and cardiac valve and vascular disorders (8.99%). Compared to the low-risk CVD group, male patients demonstrated a higher probability of primary hypertension (OR = 1.15) and heart failure (OR = 5.36). Significant associations were observed between comorbid CVDs and the use of typical antipsychotics, atypical antipsychotics, anxiolytics and sedatives, antidepressants, and mood stabilizers. Notably, perphenazine (OR = 22.06) and chlorpromazine hydrochloride (OR = 7.09) were strongly linked to comorbid heart failure. Among Chinese patients with SSDs, four distinct CVD comorbidity patterns were identified, with hypertension and heart failure displaying strong specificity. Variations in demographic characteristics and psychotropic medication use provide valuable insights for treatment and management.

Food addiction and associated factors in newly diagnosed patients with schizophrenia: a cross-sectional comparison with siblings and healthy controls

BACKGROUND

Despite the potential clinical and treatment relevance of food addiction (FA) among individuals with schizophrenia, the scientific literature on its characteristics and correlates within this population is sparse. Limited knowledge on FA in patients with schizophrenia may impede progress in developing effective treatments for pathological eating patterns and the common obesity and metabolic syndrome problems in this population. Considering these research gaps, the present study aimed to compare the nature and prevalence of FA symptoms among patients with first-episode schizophrenia, their siblings, and healthy controls. As a secondary objective, this study sought to examine the psychopathological correlates of FA in the patients' group.

METHODS

A cross-sectional study was conducted in Razi Hospital, Tunis, Tunisia, from January to June 2024. A total of 112 newly diagnosed, clinically stabilized patients with first-episode schizophrenia, 77 of their unaffected siblings and 78 healthy controls were included. FA was assessed using the modified version of the Yale Food Addiction Scale (mYFAS 2.0). The Metacognitions Questionnaire (MCQ-30) and the Emotion Regulation Questionnaire were administered to the patients' group.

RESULTS

Findings showed a higher prevalence of FA in the patient group (32.1%) compared to both siblings (13.0%) and controls (9.0%). Siblings had higher FA scores compared to controls (16.12 ± 4.95 versus 15.00 ± 6.09; p < 0.001). After Bonferroni correction for multiple testing, higher FA scores were significantly associated with less cognitive self-consciousness (Beta = - 0.54), older age (Beta = 0.45), and higher psychological distress (Beta = 0.63).

CONCLUSION

Our findings suggest that people with first-episode schizophrenia are likely to present with co-occurring FA, and experience associated distress. Findings also provide initial support for a possible connection between dysfunctional metacognitive beliefs and FA in patients with schizophrenia, suggesting that cognitive self-consciousness may be a fundamental cognitive process in FA in this population. This may lend some theoretical and clinical implications for alleviating FA symptoms in schizophrenia.

Impact of probiotic treatment on clinical symptom reduction in schizophrenia: A systematic review and meta-analysis

INTRODUCTION

Recent research has identified gut microbiota dysbiosis as a potential contributing factor in schizophrenia, leading to growing interest in exploring probiotics as a complementary approach to traditional antipsychotic treatments. This study aims to systematically evaluate the current evidence on the efficacy of probiotics in improving clinical symptoms of schizophrenia, offering a novel perspective into their potential role as an adjunctive strategy.

METHODS

A systematic search was conducted to review randomized clinical trials, adhering to the PRISMA guidelines. A meta-analysis was also performed to assess the primary outcome, which was the impact of probiotic supplementation on clinical symptoms measured by the Positive and Negative Syndrome Scale (PANSS).

RESULTS

Of the 76 studies initially identified, 5 were finally included. Regarding the symptomatology measured through the PANSS total score, the average effect was significant after the probiotic supplementation (standardized mean difference [SMD] = -0.608, (95% CI -1.314; -0.047), p = .035.

CONCLUSION

The synthesis of available data suggests that probiotic supplementation may effectively reduce clinical symptoms in schizophrenia. However, the limited number of studies prevents the formation of robust conclusions. Further clinical trials with more rigorous experimental designs are necessary before making definitive recommendations.

The role of anti-inflammatory diets and supplementation in metabolic syndrome and symptom remission in adults with schizophrenia: a systematic review

Introduction

Immune dysregulation and chronic inflammation have been hypothesized as potential pathways in metabolic syndrome and schizophrenia. Anti-inflammatory diets have the potential not only to treat metabolic syndrome but also to reduce the symptom burden in schizophrenia. The aim of this systematic review was to investigate the role of anti-inflammatory diets and vitamin supplementation in the management of metabolic syndrome and in symptom remission in people with schizophrenia.

Methods

This systematic review included research articles from PubMed, EMBASE, Scopus, PsycINFO, and the Cochrane Central Register for Controlled Trials. The primary outcomes were markers of metabolic syndrome and symptoms of psychosis.

Results

Our search identified 2,124 potential studies, of which 1,559 were screened based on the title and abstract, resulting in 81 full-text articles assessed for eligibility. A total of 17 studies were included, which demonstrated mixed findings on the impacts of anti-inflammatory diet interventions on metabolic markers and symptom remission in schizophrenia. Prebiotic, probiotic, and fish oil supplementation showed improvements in metabolic markers. Fish oil and vitamin D supplementation demonstrated symptom remission in some trials.

Conclusion

It is important to consider that people with schizophrenia may experience common external barriers that hinder adherence to dietary interventions. These findings underscore the need for larger trials with standardized dietary protocols and consistent metabolic and symptom outcome measures in order to better understand the potential role of anti-inflammatory interventions in this population.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42024511596.

Patients with severe mental illness in the general emergency department: Clinical characteristics, quality of care and challenges

BACKGROUND

Morbidity and mortality rates are notably higher among individuals with severe mental illnesses (SMI). People with SMI often have lower access to healthcare services, and the medical care they receive is known to be suboptimal. Consequently, treatment in an acute care setting rather than a community setting is more common. We aim to explore medical care in the emergency department (ED) for people with SMI compared to a control population.

METHODS

In this matched cohort study, data on all adult Clalit Health Services (CHS) members who were referred to the general ED during the years 2018-2021 were extracted. Patients with SMI (ICD-10 codes for schizophrenia, schizoaffective disorder, and bipolar disorder) were matched with a control group of ED patients without SMI in a 1:3 ratio. The two groups were compared regarding ED admission reasons, management, and outcomes.

RESULTS

The total sample (n = 92,848) included ED patients with SMI (n = 23,212) and without (n = 69,636). The most common ED admission reasons in both groups were pain, traumatic injury, and cardiac symptoms. Patients in the SMI group had higher rates of diagnosed diabetes mellitus and obstructive pulmonary disease. ED assessment, measured by resource allocation, was less comprehensive for patients with SMI who presented with subjective complaints such as pain and weakness, while it was comparable between patients with and without SMI for other main presenting complaints. Workup for patients with SMI lasted longer and necessitated hospitalization at higher rates for most admission reasons. Mortality during the study period was almost twice as high among the SMI group (5 % vs. 2.3 %, p < 0.001).

DISCUSSION

Our findings indicate higher rates of morbidity and treatment complexity among patients with SMI. As expected, the mortality rate was higher in this group. An alarming gap in resource allocation for ED assessment was observed when patients presented with subjective complaints. Enhanced awareness and integrated resources in primary care are required to improve the management and physical healthcare of patients with SMI.

Bibliometric Analysis of Antipsychotic-induced Metabolic Disorder from 2006 to 2021 Based on WoSCC Database

BACKGROUND

With the frequent use of antipsychotics, the metabolic disorder (MetD) caused by drugs has received increasing attention. However, the mechanism of drug-induced MetD is still unclear and is being explored. Keeping abreast of the progress and trending knowledge in this area is conducive to further work.

OBJECTIVE

The aim of this study is to analyze the latest status and trends of research on antipsychoticinduced metabolic disorder (AIMetD) by bibliometric and visual analysis.

METHODS

3478 publications of AIMetD from 2006 to 2021 were retrieved from the Web of Science Core Collection database. R-biblioshiny was used for descriptive analysis, CiteSpace for cooperative network, co-citation analysis and burst detection, and VOSviewer for co-occurrence keywords was used.

RESULTS

Since 2006, the publications have been growing fluctuantly. These studies have extensive cooperation among countries/regions. The most influential country/region, institution and author are the USA, King's College London and Christoph U Correll. Analysis of references shows the largest cluster of "antipsychotic-induced metabolic dysfunction", which is an important basis for MetD. The recent contents of the burst citation are related to "glucose homeostasis" and "cardiovascular metabolism". Several bursting keywords were discerned at the forefront, including "LC-MS/MS", "major depressive disorder", "expression", and "homeostasis".

CONCLUSION

The AIMetD study is in a state of sustained development. Close cooperation between countries/ regions has promoted progress. For grasping the foundation, development, and latest trends of AIMetD, it is recommended to focus on active institutions and authors. Based on AIMetD, subdivision areas such as "LC-MS/MS", "expression", and "homeostasis" are forefronts that deserve constant attention.

Evaluating the Significance of Obesity or Excessive Weight in Various Mental Health Disorders: A Systematic Review

Obesity is a major global public health challenge affecting all countries and communities. The link between obesity and various types of physical morbidities has been widely acknowledged in different studies. Despite the immense impact of obesity on mental health, its full effect on the areas has not been as explored as the impact on physical health has been. Following an extensive review of various recent studies, the objective of this study is to evaluate the correlations and effects of obesity on mental health disorders, in addition to reflecting on the significance of assessing the correlation. The other objective of this study is to evaluate obesity prevalence in mentally ill individuals. We believe that the realization of these objectives will address the existing literature gaps within the population of mentally ill persons in addition to aiding with the necessary preventive knowledge that will enable the provision of optimum mental and physical health. Therefore, this study entailed the performance of a systematic review of several online databases, including Scopus, Web of Sciences, PubMed, Google Scholar, and MEDLINE. This systematic review also utilized an increasingly robust methodology based on the Cochrane guidelines and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Thus, the inclusion criteria stipulated that only studies published between 2010 and 2024 and published in the English language were to be included in this systematic review. The quality of the included studies was assessed using an appraisal tool for cross-sectional studies. As a result, 12 studies met the inclusion criteria for this systematic review and were reviewed. The findings indicate that the prevalence rate of obesity in individuals with mental health disorders surpasses the prevalence of the condition within the general population, suggesting that mentally ill persons are at a higher risk of developing obesity, even as one of the major side effects of psychiatric treatment is excessive weight gain. Individuals with personality disorders, including borderline personality disorder, avoidant personality disorder, dependent personality disorder, and antisocial personality disorder, among others, presented the highest prevalence rate of obesity compared to those with psychosis. Prospective studies should focus on evaluating the various mitigating factors that underlie the weight gain and obesity development that occur across mental health disorders.

General medical comorbidities in psychotic disorders in the Finnish SUPER study

Schizophrenia (SZ), schizoaffective disorder (SZA), bipolar disorder (BD), and psychotic depression (PD) are associated with premature death due to preventable general medical comorbidities (GMCs). The interaction between psychosis, risk factors, and GMCs is complex and should be elucidated. More research particularly among those with SZA or PD is warranted. We evaluated the association between registry-based psychotic disorders and GMC diagnoses in a large national sample of participants with different psychotic disorders. In addition, we examined whether body mass index (BMI) and smoking as risk factors for GMCs explain differences between diagnostic groups. This was a cross-sectional study of a clinical population of participants (n = 10,417) in the Finnish SUPER study. Registry-based diagnoses of psychotic disorders and hypertension, diabetes, chronic obstructive pulmonary disease (COPD), cancers, ischemic heart disease, and liver disorders were obtained. Participants' BMI and self-reported smoking were recorded. Total effect of diagnostic category adjusted for age and sex as well as direct effect including known risk factors was calculated using logistic regression. Regardless of diagnostic category, participants had high BMI (average 30.3 kg/m2), and current smoking was common (42.4%). Diabetes and COPD were more common in SZ than in other diagnostic categories. The differences between psychotic disorders were not explained by obesity or smoking status only. Obesity and smoking were prevalent in all diagnostic categories of psychotic disorders, and continued efforts at prevention are warranted. Additional differences in GMC prevalence exist between psychotic disorders that are not explained by obesity and smoking.

Associations of 24-hr Movement Behaviors With Cardiometabolic Risk Factors and Metabolic Syndrome in Adults Receiving Outpatient Rehabilitation: A Compositional Time-Use Analysis

BACKGROUND

Research suggests associations between physical activity, sedentary behavior, sleep, and metabolic syndrome, but most has focused on healthy populations and individual behaviors. We investigated associations of 24-hr movement behavior compositions with cardiometabolic risk factors and metabolic syndrome in adults receiving rehabilitation for other health conditions.

METHOD

 This cross-sectional study assessed 24-hr movement behaviors using thigh-worn accelerometers and metabolic outcomes via blood analyses in 145 adults attending outpatient rehabilitation. Regression models tested associations of five 24-hr time-use behaviors (time in bed, sedentary time, standing, light-intensity stepping, and moderate- to vigorous-intensity stepping) with cardiometabolic risk factors and metabolic syndrome severity score (a cumulative measure of risk derived from metabolic risk factors).

RESULTS

 Participants (64 [SD 12] years old; 52% women; 66% with metabolic syndrome, with 6 [SD 0.7] days of 24-hr data) spent 41% of a 24-hr day sedentary, 15% standing, 3% in light-intensity stepping, 2% in moderate- to vigorous-intensity stepping, and 38% in bed. Adjusted models indicated that a higher proportion of light-intensity stepping was associated with lower triglycerides, more time in bed was associated with a higher metabolic syndrome severity score, and more time stepping was associated with a lower metabolic syndrome severity score. There was no evidence of associations between the overall compositions and outcomes.

CONCLUSION

The consistently observed small proportions of physical activity, with lack of variation between participants, may not be sufficient to counteract the impact of high sedentary time on metabolic outcomes in adults attending outpatient rehabilitation.

IMPLICATIONS

 Future research may focus on exploring ways to increase light-intensity stepping in sedentary older adults with various health conditions.

Discordance Between Triglycerides, Remnant Cholesterol and Systemic Inflammation in Patients with Schizophrenia

BACKGROUND/OBJECTIVES

Hypertriglyceridaemia and systemic inflammation are prevalent in patients with schizophrenia and contribute to an increased risk of cardiovascular disease. Although elevated triglycerides (TGs) and remnant cholesterol are linked to inflammation in the general population and individuals with metabolic syndrome, whether they are associated in patients with schizophrenia remains unclear.

METHODS

Fasting levels of TG, cholesterol (total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and remnant cholesterol)), and markers of systemic inflammation including high-sensitivity C-reactive protein (hsCRP), leukocyte counts and their differentials (neutrophils, monocytes and lymphocytes) were determined in 147 patients diagnosed with schizophrenia on long-term antipsychotic regimens and compared with 56 age- and sex-matched healthy controls. Apolipoprotein B and glycosylation of acute phase reactant (GlycA) signatures were assessed by NMR. Circulating cytokine levels were measured by a cytokine/chemokine multiplex assay.

RESULTS

Patients with schizophrenia had markedly elevated TG and remnant cholesterol relative to controls and had evidence of systemic inflammation with increased circulating hsCRP, GlycA, leukocyte, neutrophil counts and neutrophil-to-lymphocyte ratio (NLR). Unexpectedly TG and remnant cholesterol did not correlate with systemic inflammatory markers in patients with schizophrenia, and differences in inflammatory markers between controls and patients persisted after adjusting for the lipid profile. Interleukin (IL)-10 levels were increased in patients with schizophrenia, suggesting an anti-inflammatory signature.

CONCLUSIONS

The discordance between TG, remnant cholesterol and systemic inflammation in patients with schizophrenia suggests these are likely independent contributors to cardiovascular risk in this population.

The Overlooked Risk of Venous Thromboembolism in Psychiatric Patients: Epidemiology, Pathophysiology, and Implications for Clinical Care

Psychiatric patients face a significantly shorter life expectancy than the general population due to a complex interplay of medical, behavioral, and social factors. Venous thromboembolism (VTE), encompassing both pulmonary embolism and deep vein thrombosis, is an underrecognized yet critical contributor to morbidity and mortality in this population. Evidence suggests a two to three times higher prevalence of VTE in psychiatric patients compared to the general population, with incidence rates up to 4.5 per 1,000 person-years. This elevated risk is attributed to a hypercoagulable-hypofibrinolytic state. It is influenced by metabolic abnormalities, pro-inflammatory pathways, antipsychotic medications, and genetic factors. Health care biases and reduced treatment compliance further exacerbate the burden. This review explores the epidemiology, pathophysiology, and mechanistic underpinnings of VTE in psychiatric populations, emphasizing the role of metabolic syndrome and antipsychotic therapy. To mitigate mortality and enhance outcomes for these high-risk individuals, it is imperative to address this issue through improved risk stratification and preventive strategies.

Antipsychotic medication in people with intellectual disability and schizophrenia: A 25-year updated systematic review and cross-sectional study

OBJECTIVES

To determine the efficacy and safety of antipsychotic medication for treating individuals with a dual diagnosis of intellectual disability (ID) and schizophrenia.

METHODS

We systematically reviewed the literature to explore the risks and benefits of antipsychotics for schizophrenia in ID. In addition, a cross-sectional retrospective study on the tolerance profiles of a representative ID and schizophrenia cohort was conducted.

RESULTS

From the systematic search, we retained 18 articles detailing information on 24 cases. In almost all cases, the antipsychotic improved psychotic symptoms (e.g., hallucinations, delusions, disorganization). Negative manifestations were also improved (blunted affects, amotivation, poor rapport), as were challenging behaviors in a few cases. The most commonly reported side effects were neurological (extra-pyramidal, movement disorder, epilepsy) and metabolic manifestations. In the retrospective cross-sectional study, we reported data on 112 participants with comorbid ID and schizophrenia. In all, 103 participants were antipsychotic-treated, of which 39% were on antipsychotic monotherapy. Of these, 35% were in the obesity range, 25% in the hyperglycemic range, and 25% in the dyslipidemia range. The body mass index did not differ between the groups.

CONCLUSIONS

This study provides an initial evidence base underpinning the efficacy of antipsychotic drugs on schizophrenia in the ID population. Nevertheless, there may be an increased risk of metabolic side effects, hence, close monitoring of blood glucose, lipids, and weight should be implemented when prescribing antipsychotics to this population.

Clozapine rechallenge following myocarditis: a systematic review of rechallenge cases

INTRODUCTION AND OBJECTIVES

Clozapine is the antipsychotic medication with the greatest efficacy in treatment-resistant schizophrenia (TRS). Unfortunately, clozapine is ceased in approximately 0.2% to 8.5% of people due to concerns about clozapine-associated myocarditis (CAM). The opportunity for clozapine rechallenge is important for people with TRS and CAM, due to limited alternative treatments. However, there is a lack of consensus regarding the optimal process, monitoring, and dose titration to achieve successful clozapine rechallenge. The study aimed to review the process, monitoring, and dose titration within cases of clozapine rechallenge after CAM, to identify features associated with successful rechallenge.

METHODS

A systematic review of clozapine rechallenge cases following CAM was conducted. PubMed, EMBASE, Cinahl, and PsycINFO were searched for cases. Reference lists of retrieved articles and field experts were consulted to identify additional studies.

RESULTS

Forty-five cases were identified that described clozapine rechallenge, 31 of which were successful. Successful rechallenge cases generally used a slower dose titration regime with more frequent monitoring than standard clozapine initiation protocols; however, this data was not always completely recorded within cases. Six cases referred to published rechallenge protocols to guide their rechallenge.

CONCLUSIONS

The process, monitoring, and dose titration of clozapine rechallenge are inconsistently reported in the literature. Despite this, 69% of case reports detailed a successful rechallenge post CAM; noting limitations associated with reliance on case data. Ensuring published clozapine rechallenge cases report standardised data, including titration speed and monitoring frequencies, is required to guide the development and validation of guidelines for clozapine rechallenge.

Brain metabolic profiling of schizophrenia: a path towards a better understanding of the neuropathogenesis of psychosis

Schizophrenia (SCZ) is a complex psychotic syndrome whose pathogenesis involves countless protagonists, none of which, to date, can fully explain how this disorder develops. In this narrative review, an overview of the biochemical impairment is offered according to several perspectives. Indeed, the metabolic framework behind SCZ dopaminergic hypotheses, glutamate - gamma-amynobutyric acid dysregulation, norepinephrine and serotonin, calcium channel dysfunction is addressed together with the energetic impairment, involving glucose and lipids in SCZ etiopathogenesis, in order to highlight the multilevel pathways affected in this neuropsychiatric disorder. Furthermore, neuroinflammation is analyzed, by virtue of its important role, widely investigated in recent years, in neurodegeneration. Tracing the neurotransmitter activity at the brain level by assessing the metabolic network behind the abovementioned molecules puts into light as unavoidable the need for future studies to adopt an integrate approach to address SCZ pathological and clinical picture. The combination of all these factors, essential in acquiring an overview on the complexity of SCZ pathophysiology represents a crucial step in the development of a more targeted management of SCZ patients.

Co-occurrence between mental disorders and physical diseases: a study of nationwide primary-care medical records

BACKGROUND

Mental disorders and physical-health conditions frequently co-occur, impacting treatment outcomes. While most prior research has focused on single pairs of mental disorders and physical-health conditions, this study explores broader associations between multiple mental disorders and physical-health conditions.

METHODS

Using the Norwegian primary-care register, this population-based cohort study encompassed all 2 203 553 patients born in Norway from January 1945 through December 1984, who were full-time residents from January 2006 until December 2019 (14 years; 363 million person-months). Associations between seven mental disorders (sleep disturbance, anxiety, depression, acute stress reaction, substance-use disorders, phobia/compulsive disorder, psychosis) and 16 physical-health conditions were examined, diagnosed according to the International Classification of Primary Care.

RESULTS

Of 112 mental-disorder/physical-health condition pairs, 96% of associations yielded positive and significant ORs, averaging 1.41 and ranging from 1.05 (99.99% CI 1.00-1.09) to 2.38 (99.99% CI 2.30-2.46). Across 14 years, every mental disorder was associated with multiple different physical-health conditions. Across 363 million person-months, having any mental disorder was associated with increased subsequent risk of all physical-health conditions (HRs:1.40 [99.99% CI 1.35-1.45] to 2.85 [99.99% CI 2.81-2.89]) and vice versa (HRs:1.56 [99.99% CI 1.54-1.59] to 3.56 [99.99% CI 3.54-3.58]). Associations were observed in both sexes, across age groups, and among patients with and without university education.

CONCLUSIONS

The breadth of associations between virtually every mental disorder and physical-health condition among patients treated in primary care underscores a need for integrated mental and physical healthcare policy and practice. This remarkable breadth also calls for research into etiological factors and underlying mechanisms that can explain it.

(Cost-)effectiveness and implementation of a combined lifestyle intervention for outpatients with severe mental illness (GOAL!): a hybrid quasi-experimental study protocol

BACKGROUND

People with severe mental illness (SMI) face not only impaired mental health, but also a greater risk of physical comorbidities and a shorter life expectancy compared to the general population. A poor lifestyle plays a substantial role in this disparity. Combined Lifestyle Interventions targeting multiple lifestyle behaviors can improve mental and physical health, and quality of life. However, there is currently no appropriate structural support for people with SMI in outpatient care in the Netherlands. The Combined Lifestyle Intervention for Outpatients with SMI (GOAL!) is developed to address this gap. This study examines the (cost-)effectiveness and implementation of GOAL!.

METHODS

In a type 1 hybrid quasi-experimental study with a mixed-method matched design, GOAL! participants (N = 50) are compared to people receiving care as usual (N = 50). The GOAL! program includes group and individual sessions, given by allied health professionals, over a period of two years. The first year starts with a 3-month intensive course on physical activity and nutrition, followed by 9 months of aftercare covering various lifestyle topics tailored to the group's needs. There is close collaboration with local stakeholders to facilitate transfer to the community setting. The second year focuses on maintaining established activities in one's daily living environment. Our primary outcome will be the change in physical activity, comparing GOAL! participants to those receiving care as usual. Secondary outcomes are changes in other lifestyle behaviors, physical health, mental well-being, and healthcare and societal costs. Additionally, achieving lifestyle-related goals, adverse effects, and barriers and facilitators to implementation are examined. Measurements are obtained at start (T0), and after 3 (T1), 12 (T2) and 24 months (T3).

DISCUSSION

This study investigates the effects of GOAL! on lifestyle behaviors, health outcomes, implementation factors and cost-effectiveness after two years, aiming to offer valuable insights into the effectiveness and implementation outcomes of lifestyle interventions for outpatients with SMI.

TRIAL REGISTRATION

ClinicalTrials.gov (Identifier: NCT05600205). Prospectively registered on October 26, 2022.

Clinical patterns of metabolic syndrome in young, clinically stable, olanzapine-exposed patients with schizophrenia

BACKGROUND

Schizophrenia (SCZ) is a chronic, disabling mental illness with a high disease burden and is often comorbid with metabolic syndrome (MetS). The aim of this study was to determine the prevalence of MetS in young, clinically stable, olanzapine-exposed patients with SCZ and to explore predictive factors affecting the development and severity of MetS.

METHODS

A total of 274 patients with SCZ who met the inclusion criteria were enrolled in this study, and their demographic data and general clinical information were collected. Concurrently, patients were assessed for psychopathology, illness severity, and antipsychotic drug-related adverse effects.

RESULTS

The prevalence of MetS in the target population was 35.77%, and the MetS subtype of abdominal obesity + high triglycerides + low level of high-density lipoprotein cholesterol accounted for the majority of patients in the MetS subgroup. Binary logistic regression showed that body mass index (BMI), uric acid (UA), thyroid-stimulating hormone, and QT-c interval could significantly and positively predict the development of MetS. Multiple linear regression showed that olanzapine concentration, BMI, and UA could significantly and positively predict higher MetS scores.

CONCLUSION

This study reports the clinical patterns of MetS in young, clinically stable, olanzapine-exposed patients with SCZ and identifies the correlations influencing the development and severity of MetS. These findings could potentially be applied toward the prevention of and intervention in MetS.

Evaluation of routine health monitoring for metabolic disorders in patients with serious mental illness on psychotropic medications: a study from Ethiopia

BACKGROUND

Compared to the overall population, patients with mental health problems are more likely to experience concurrent physical illnesses, poorer health outcomes, and mortality. Psychotropic medications, which are the pillars in the management of mental health conditions, are associated with adverse effects such as weight gain, an increased level of glucose, and elevated circulating lipid levels, all of which contribute to metabolic disorders. Inadequate health monitoring may led to suboptimal interventions and worsening of these conditions. However, there is a lack of studies assessing routine health monitoring practices for metabolic disorders and their determinants among patients with serious mental illnesses taking psychotropic medications in Ethiopia. This study aimed to evaluate routine health monitoring for metabolic disorders and its determinants in patients with serious mental illnesses on psychotropic medications in Ethiopia.

METHOD

A hospital based prospective follow-up study was conducted among patients with serious mental illness taking psychotropic medications who attended the outpatient psychiatry department at Debre Markos Comprehensive Specialized Hospital. Eligible participants were selected using a simple random sampling technique. Routine health monitoring was evaluated using guidelines and previous literature. Binary logistic regression was employed to identify the determinants of routine health monitoring, with statistical significance determined by a p-value of less than 0.05 and a 95% confidence interval (CI).

RESULTS

The overall routine health monitoring practice for metabolic disorders was found to be sub-optimal. Vital signs were the most commonly assessed parameters. Key determinants of routine health monitoring included participants aged 45 and above (AOR (95% CI): 2.82 (1.34-5.92), having social insurance (AOR (95% CI): 2.94 (1.86-4.64), availability of laboratory tests at the hospital (AOR (95% CI): 3.46 (2.16-5.55), and reporting of medication-related side effects (AOR (95% CI): 1.96 (1.21-3.17)).

CONCLUSION

Routine health monitoring for metabolic disorders in patients with serious mental illnesses attending the outpatient psychiatry department was inadequate. Health care providers should give more attention to younger patients, those without health insurance, and who are not reported side effects. These findings provide crucial insights for improving routine health monitoring and promoting better health outcomes.

Transcriptomic Analysis of the Amygdala in Subjects with Schizophrenia, Bipolar Disorder and Major Depressive Disorder Reveals Differentially Altered Metabolic Pathways

BACKGROUND AND HYPOTHESIS

The amygdala, crucial for mood, anxiety, fear, and reward regulation, shows neuroanatomical and molecular divergence in psychiatric disorders like schizophrenia, bipolar disorder and major depression. This region is also emerging as an important regulator of metabolic and immune pathways. The goal of this study is to address the paucity of molecular studies in the human amygdala. We hypothesize that diagnosis-specific gene expression alterations contribute to the unique pathophysiological profiles of these disorders.

STUDY DESIGN

We used a cohort of subjects diagnosed with SCZ, BPD or MDD, and nonpsychiatrically ill control subjects (n = 15/group), together with our bioinformatic 3-pod analysis consisting of full transcriptome pathway analysis, targeted pathway analysis, leading-edge gene analysis and iLINCS perturbagen analysis.

STUDY RESULTS

We identified altered expression of metabolic pathways in each disorder. Subjects with SCZ displayed downregulation of mitochondrial respiration and nucleotide metabolism pathways. In comparison, we observed upregulation of mitochondrial respiration pathways in subjects with MDD, while subjects with BPD displayed enrichment of pathways involved in carbohydrate metabolism. Several pathways associated with brain metabolism including immune system processes and calcium ion transport were also differentially altered between diagnosis groups.

CONCLUSION

Our findings suggest metabolic pathways, including downregulation of energy metabolism pathways in SCZ and upregulation of energy metabolism pathways in MDD, are uniquely altered in the amygdala in these disorders, which may impact approaches for therapeutic strategies.

Evaluation of the Glymphatic System in Schizophrenia Spectrum Disorder Using Proton Magnetic Resonance Spectroscopy Measurement of Brain Macromolecule and Diffusion Tensor Image Analysis Along the Perivascular Space Index

BACKGROUND AND HYPOTHESIS

The glymphatic system (GS), a brain waste clearance pathway, is disrupted in various neurodegenerative and vascular diseases. As schizophrenia shares clinical characteristics with these conditions, we hypothesized GS disruptions in patients with schizophrenia spectrum disorder (SCZ-SD), reflected in increased brain macromolecule (MM) and decreased diffusion-tensor-image-analysis along the perivascular space (DTI-ALPS) index.

STUDY DESIGN

Forty-seven healthy controls (HCs) and 103 patients with SCZ-SD were studied. Data included 135 proton magnetic resonance spectroscopy (1H-MRS) sets, 96 DTI sets, with 79 participants contributing both. MM levels were quantified in the dorsal-anterior cingulate cortex (dACC), dorsolateral prefrontal cortex, and dorsal caudate (point resolved spectroscopy, echo-time = 35ms). Diffusivities in the projection and association fibers near the lateral ventricle were measured to calculate DTI-ALPS indices. General linear models were performed, adjusting for age, sex, and smoking. Correlation analyses examined relationships with age, illness duration, and symptoms severity.

STUDY RESULTS

MM levels were not different between patients and HCs. However, left, right, and bilateral DTI-ALPS indices were lower in patients compared with HCs (P < .001). In HCs, age was positively correlated with dACC MM and negatively correlated with left, right, and bilateral DTI-ALPS indices (P < .001). In patients, illness duration was positively correlated with dACC MM and negatively correlated with the right DTI-ALPS index (P < .05). In the entire population, dACC MM and DTI-ALPS indices showed an inverse correlation (P < .01).

CONCLUSIONS

Our results suggest potential disruptions in the GS of patients with SCZ-SD. Improving brain's waste clearance may offer a potential therapeutic approach for patients with SCZ-SD.

The physical health and premature mortality of Indigenous Māori following first-episode psychosis diagnosis: A 15-year follow-up study

BACKGROUND

People experiencing psychosis are at greater risk of physical health conditions and premature mortality. It is likely that Indigenous Māori youth, who experience additional systemic inequities caused by settler-colonisation, face even greater physical health and mortality risks following a diagnosis of first-episode psychosis.

OBJECTIVE

Compare Māori and non-Māori for risk of hospitalisation and mortality for up to 15 years following first-episode psychosis diagnosis.

METHODS

A cohort (N = 14,122) of young people (16-24 years) with first-episode psychosis diagnosis between 2001 and 2019 were identified. Using crude Kaplan-Meier and adjusted Cox proportional hazards models, Māori (n = 5211) and non-Māori (n = 8911) were compared on hospitalisation and mortality outcomes for up to 15 years.

RESULTS

In the 15 years following first-episode psychosis diagnosis, Māori had higher adjusted risk of all-cause mortality (hazard ratio = 1.21, 95% confidence interval = [1.01, 1.45]), hospitalisation with diabetes (hazard ratio = 1.44, 95% confidence interval = [1.15, 1.79]), injury/poisoning (hazard ratio = 1.11, 95% confidence interval = [1.05, 1.16]), general physical health conditions (hazard ratio = 1.07, 95% confidence interval = [1.02, 1.13]) and also appeared to be at greater risk of cardiovascular hospitalisations (hazard ratio = 1.34, 95% confidence interval = [0.97, 1.86]). Kaplan-Meier plots show hospitalisation and mortality inequities emerging approximately 4-7 years following first-episode psychosis diagnosis.

CONCLUSIONS

Māori are at greater risk for hospitalisation and premature mortality outcomes following first-episode psychosis. Early screening and intervention, facilitated by culturally safe health service delivery, is needed to target these inequities early.

The clock is ticking on schizophrenia: a study protocol for a translational study integrating phenotypic, genomic, microbiome and biomolecular data to overcome disability

Background

Shared biological factors may play a role in both the cognitive deficits and the increased prevalence of metabolic syndrome observed in individuals with Schizophrenia (SCZ). These factors could entail disturbances in tryptophan (Trp) to both melatonin (MLT) and kynurenine (Kyn) metabolic pathways, as well as inflammation and alterations in the gut microbiome composition.

Methods

The present research project aims to investigate this hypothesis by recruiting 170 SCZ patients from two different recruitment sites, assessing their cognitive functions and screening for the presence of metabolic syndrome. Additionally, we plan to assess the impact of a 3-month cognitive remediation therapy on 30 of these patients. We will analyze clinical data alongside serum biomarkers and gene expression related to the Trp- to MLT and Kyn metabolic pathways, markers of inflammatory and composition of the gut microbiome. The association between Trp-MLT-Kyn levels, expression levels of selected genes, inflammatory markers and clinical phenotypes will be analyses in the context of general linear models.

Discussion

This project has the potential to identify some typical SCZ symptomatic clusters that will be more stringently associated with variations in the Trp-MLT-Kyn/inflammatory system and with a better response to cognitive remediation therapy. Moreover, in a future perspective, it may highlight a group of patients who may benefit from a pharmacological treatment aiming at reinstating the physiological Trp to MLT and Kyn system. Therefore, it has the potential to move research toward a personalized approach for SCZ management.

Association of antipsychotic drugs on type 2 diabetes mellitus risk in patients with schizophrenia: a population-based cohort and in vitro glucose homeostasis-related gene expression study

BACKGROUND

Type 2 diabetes mellitus (T2DM) and its related complications are associated with schizophrenia. However, the relationship between antipsychotic medications (APs) and T2DM risk remains unclear. In this population-based, retrospective cohort study across the country, we investigated schizophrenia and the effect of APs on the risk of T2DM, and glucose homeostasis-related gene expression.

METHODS

We used information from the Longitudinal Health Insurance Database of Taiwan for individuals newly diagnosed with schizophrenia (N = 4,606) and a disease-free control cohort (N = 4,606). The differences in rates of development of T2DM between the two cohorts were assessed using a Cox proportional hazards regression model. The effects of APs on the expression of glucose homeostasis-related genes in liver and muscle cell lines were assessed using quantitative real-time PCR.

RESULTS

After controlling potential associated confounding factors, the risk of T2DM was higher in the case group than that in the control group [adjusted hazard ratio (aHR), 1.80, p < 0.001]. Moreover, the likelihood of T2DM incidence in patients with schizophrenia without AP treatment (aHR, 2.83) was significantly higher than that in non-schizophrenia controls and those treated with APs (aHR ≤ 0.60). In an in vitro model, most APs did not affect the expression of hepatic gluconeogenesis genes but upregulated those beneficial for glucose homeostasis in muscle cells.

CONCLUSION

This study demonstrates the impact of schizophrenia and APs and the risk of developing T2DM in Asian populations. Unmeasured confounding risk factors for T2DM may not have been included in the study. These findings may help psychiatric practitioners identify patients at risk of developing T2DM.

Impact of excessive abdominal obesity on brain microstructural abnormality in schizophrenia

Significant evidence links obesity and schizophrenia (SZ), but the brain associations are still largely unclear. 48 people with SZ were divided into two subgroups: patients with lower waist circumference (SZ-LWC: n = 24) and patients with higher waist circumference (SZ-HWC: n = 24). Healthy controls (HC) were included for comparison (HC: n = 27). Using tract-based spatial statistics, we compared fractional anisotropy (FA) of the whole-brain white matter skeleton between these three groups (SZ-LWC, SZ-HWC, HC). Using Free Surfer, we compared whole-brain cortical thickness and the selected subcortical volumes between the three groups. FA of widespread white matter and the mean cortical thickness in the right temporal lobe and insular cortex were significantly lower in the SZ-HWC group than in the HC group. The FA of regional white matter was significantly lower in the SZ-LWC group than in the HC group. There were no significant differences in mean subcortical volumes between the groups. Additionally, the cognitive performances were worse in the SZ-HWC group, who had more severe triglycerides elevation. This study provides evidence for microstructural abnormalities of white matter, cortical thickness and neurocognitive deficits in SZ patients with excessive abdominal obesity.

Using Electronic Health Records to Facilitate Precision Psychiatry

The use of clinical prediction models to produce individualized risk estimates can facilitate the implementation of precision psychiatry. As a source of data from large, clinically representative patient samples, electronic health records (EHRs) provide a platform to develop and validate clinical prediction models, as well as potentially implement them in routine clinical care. The current review describes promising use cases for the application of precision psychiatry to EHR data and considers their performance in terms of discrimination (ability to separate individuals with and without the outcome) and calibration (extent to which predicted risk estimates correspond to observed outcomes), as well as their potential clinical utility (weighing benefits and costs associated with the model compared to different approaches across different assumptions of the number needed to test). We review 4 externally validated clinical prediction models designed to predict psychosis onset, psychotic relapse, cardiometabolic morbidity, and suicide risk. We then discuss the prospects for clinically implementing these models and the potential added value of integrating data from evidence syntheses, standardized psychometric assessments, and biological data into EHRs. Clinical prediction models can utilize routinely collected EHR data in an innovative way, representing a unique opportunity to inform real-world clinical decision making. Combining data from other sources (e.g., meta-analyses) or enhancing EHR data with information from research studies (clinical and biomarker data) may enhance our abilities to improve the performance of clinical prediction models.

Long-term metabolic side effects of second-generation antipsychotics in Chinese patients with schizophrenia: A within-subject approach with modelling of dosage effects

BACKGROUND

Second-generation antipsychotics (SGAs) are commonly used to treat schizophrenia (SCZ), but SGAs may differ in the severity of side effects. Long-term studies are lacking, and previous observational studies have limitations, such as failure to account for confounding factors and short follow-up durations.

AIMS

To compare the long-term anthropometric and metabolic side effects of seven SGAs in a Chinese population, using a within-subject approach to reduce the risk of confounding.

METHOD

We collected longitudinal data of SGA prescriptions, concomitant medications, fasting blood glucose (BG), lipid profiles, and BMI in a cohort of 767 patients with SCZ, with follow-up lasting up to 18.7 years (median ∼6.2 years). A total of 192,152 prescription records were retrieved, with 27,723 metabolic measures analysed. Linear mixed models were used to estimate the effects of SGA on BG, lipid profiles and BMI. Besides studying the effects of SGA medications (as binary predictors), we also investigated the effects of SGA dosage on metabolic profiles.

RESULTS

Considering SGA medications as binary predictors, clozapine and olanzapine were associated with the most substantial worsening of lipid profiles and BMI. A significant increase in BG was observed with clozapine only. Amisulpride, paliperidone and quetiapine were associated with worsened lipid profiles and increased BMI. Conversely, aripiprazole was associated with significant improvement in lipid profiles but a small increase in BMI. When SGA dosage was considered, the model showed consistent results overall. At the minimum effective dose, clozapine was associated with the most severe metabolic side effects, followed by olanzapine. Risperidone and aripiprazole showed the least metabolic side effects, with aripiprazole being significantly associated with lower lipids.

CONCLUSIONS

This study clarified the long-term and dose-dependent effects of different SGAs on anthropometric and metabolic parameters in Chinese SCZ patients. Our findings may inform clinicians and SCZ patients of SGA choices.

Risk factors, prevention and treatment of weight gain associated with the use of antidepressants and antipsychotics: a state-of-the-art clinical review

INTRODUCTION

People with severe mental illness have poor cardiometabolic health. Commonly used antidepressants and antipsychotics frequently lead to weight gain, which may further contribute to adverse cardiovascular outcomes.

AREAS COVERED

We searched MEDLINE up to April 2023 for umbrella reviews, (network-)meta-analyses, trials and cohort studies on risk factors, prevention and treatment strategies of weight gain associated with antidepressants/antipsychotics. We developed 10 clinical recommendations.

EXPERT OPINION

To prevent, manage, and treat antidepressant/antipsychotic-related weight gain, we recommend i) assessing risk factors for obesity before treatment, ii) monitoring metabolic health at baseline and regularly during follow-up, iii) offering lifestyle interventions including regular exercise and healthy diet based on patient preference to optimize motivation, iv) considering first-line psychotherapy for mild-moderate depression and anxiety disorders, v)choosing medications based on medications' and patient's weight gain risk, vi) choosing medications based on acute vs long-term treatment, vii) using effective, tolerated medications, viii) switching to less weight-inducing antipsychotics/antidepressants where possible, ix) using early weight gain as a predictor of further weight gain to inform the timing of intervention/switch options, and x) considering adding metformin or glucagon-like peptide-1 receptor agonists, or topiramate(second-line due to potential adverse cognitive effects) to antipsychotics, or aripiprazole to clozapine or olanzapine.

Conceptualization and characterization of "primary" and "secondary" cognitive impairment in schizophrenia

Cognitive impairment represents one of the core features of schizophrenia, involves both neurocognition and social cognition domains, and has a significant negative impact on real-world functioning. The present review provides a framework for the conceptualization and characterization of "primary" and "secondary" cognitive impairment in schizophrenia. In this conceptualization, primary cognitive impairment can be defined as a consequence of the neurobiological alterations that underlie psychopathological manifestations of the disorder, while secondary cognitive impairment can be defined as the results of a source issue that has a negative impact on cognitive performance. Sources of secondary cognitive impairment are frequent in people with schizophrenia and include several different factors, such as positive and negative symptoms, depressive symptoms, autistic symptoms, pharmacotherapy, substance abuse, metabolic syndrome, social deprivation, and sleep disorders. It can be hypothesized that secondary cognitive impairment may be improved by effectively resolving the source issue, while primary cognitive impairment may benefit from dedicated treatment. Further research is required to confirm this hypothesis, to better characterize the distinction between primary and secondary cognitive impairment in a clinical and in a neurobiological perspective, and to evaluate the impact of systematically assessing and treating secondary cognitive impairment.

Definition, assessment and treatment of cognitive impairment associated with schizophrenia: expert opinion and practical recommendations

A considerable proportion of patients with schizophrenia perform below population norms on standardized neuropsychological tests, and the performance of those performing within normal range is lower than predicted based on parental education. Cognitive impairment predates the onset of psychosis, is observed during symptom remission and in non-affected first-degree relatives of patients. At the present time, cognitive deficits are regarded as key features of schizophrenia, important determinants of poor psychosocial outcome and targets for both pharmacological and non-pharmacological treatment strategies. A group of eight key opinion leaders reviewed and discussed latest advances in scientific research and current good clinical practices on assessment, management, and treatment of CIAS. In the present paper they summarize the current evidence, identify main gaps between current knowledge and mental health services clinical practice, and provide practical recommendations to reduce the gap.

Blood metabolites, neurocognition and psychiatric disorders: a Mendelian randomization analysis to investigate causal pathways

BACKGROUND

Neurocognitive dysfunction is observationally associated with the risk of psychiatric disorders. Blood metabolites, which are readily accessible, may become highly promising biomarkers for brain disorders. However, the causal role of blood metabolites in neurocognitive function, and the biological pathways underlying their association with psychiatric disorders remain unclear.

METHODS

To explore their putative causalities, we conducted bidirectional two-sample Mendelian randomization (MR) using genetic variants associated with 317 human blood metabolites (nmax = 215,551), g-Factor (an integrated index of multiple neurocognitive tests with nmax = 332,050), and 10 different psychiatric disorders (n = 9,725 to 807,553) from the large-scale genome-wide association studies of European ancestry. Mediation analysis was used to assess the potential causal pathway among the candidate metabolite, neurocognitive trait and corresponding psychiatric disorder.

RESULTS

MR evidence indicated that genetically predicted acetylornithine was positively associated with g-Factor (0.035 standard deviation units increase in g-Factor per one standard deviation increase in acetylornithine level; 95% confidence interval, 0.021 to 0.049; P = 1.15 × 10-6). Genetically predicted butyrylcarnitine was negatively associated with g-Factor (0.028 standard deviation units decrease in g-Factor per one standard deviation increase in genetically proxied butyrylcarnitine; 95% confidence interval, -0.041 to -0.015; P = 1.31 × 10-5). There was no evidence of associations between genetically proxied g-Factor and metabolites. Furthermore, the mediation analysis via two-step MR revealed that the causal pathway from acetylornithine to bipolar disorder was partly mediated by g-Factor, with a mediated proportion of 37.1%. Besides, g-Factor mediated the causal pathway from butyrylcarnitine to schizophrenia, with a mediated proportion of 37.5%. Other neurocognitive traits from different sources provided consistent findings.

CONCLUSION

Our results provide genetic evidence that acetylornithine protects against bipolar disorder through neurocognitive abilities, while butyrylcarnitine has an adverse effect on schizophrenia through neurocognition. These findings may provide insight into interventions at the metabolic level for risk of neurocognitive and related disorders.

Cardiometabolic biomarkers and comorbid metabolic syndrome in schizophrenia: A cross-sectional study of long-term clozapine/olanzapine users

OBJECTIVES

Second-generation antipsychotics (SGAs) are often prescribed for patients with schizophrenia; however, SGAs are associated with the risk of metabolic syndrome (MetS). This study aimed to investigate the clinical and biochemical determinants of SGA-related MetS.

METHODS

Patients with schizophrenia, aged between 20 and 65 years, and under clozapine or olanzapine treatment for at least 9 months, were recruited from a mental hospital. Demographic, comorbidity, clinical status, laboratory, and drug regimen data were collected through chart review. Circulating levels of adiponectin, thyroid hormone responsive protein, and fatty acid binding protein 4 (FABP4) were assayed. Multiple logistic regression was used to identify risk predictors of MetS.

RESULTS

A total of 176 participants were enrolled, including 138 (78.4 %) clozapine users and 38 (21.6 %) olanzapine users. Forty-five (25.6 %) patients were classified as having MetS. The duration of clozapine or olanzapine usage was significantly shorter in those with MetS (p=0.026) than those without MetS. Patients with MetS had a significantly higher serum FABP4 concentration than their counterparts (22.5 ± 8.8 ng/mL vs. 15.7 ± 6.7 ng/mL, p<0.001), and also a significantly lower adiponectin level (6.9 ±4.0 mg/mL vs. 11.6 ± 6.6 mg/mL, p<0.001). A FABP4 level ≥ 16.98 ng/mL (OR: 24.16, 95 % CI: 7.47-78.09, p<0.001) was positively correlated with MetS, whereas serum adiponectin level was inversely correlated with MetS (OR: 0.7980, 95 % CI: 0.70-0.90, p<0.001).

CONCLUSIONS

Adiponectin, FABP4, and certain clinical covariates and comedications were highly correlated with SGA-related MetS. Further studies are required to investigate the underlying mechanisms.

Schizophrenia and type 2 diabetes risk: a systematic review and meta-analysis

Objectives

The metabolic syndrome in patients with schizophrenia has consistently been a challenge for clinicians. Previous studies indicate that individuals with schizophrenia are highly prone to developing type 2 diabetes mellitus (T2DM). In recent years, a continuous stream of new observational studies has been reported, emphasizing the pressing need for clinicians to gain a more precise understanding of the association between schizophrenia and T2DM. The objective of this meta-analysis is to integrate new observational studies and further explore the potential link between schizophrenia and the risk of T2DM.

Methods

We conducted a comprehensive search of PubMed, Cochrane Library, Embase, and Web of Science using medical subject headings (MeSH) and relevant keywords. The risk of bias in cohort studies and case-control studies was assessed using the Newcastle-Ottawa Scale (NOS), while cross-sectional studies were evaluated using the Agency for Healthcare Research and Quality scale (AHRQ), scoring was based on the content of the original studies. A fixed-effects model was employed if P > 0.1 and I2 ≤ 50%, indicating low heterogeneity. Conversely, a random-effects model was utilized if I2 > 50%, indicating substantial heterogeneity. Publication bias was assessed using funnel plots and Egger's test. Statistical analyses were carried out using Stata statistical software version 14.0.

Results

This meta-analysis comprised 32 observational studies, involving a total of 2,007,168 patients with schizophrenia and 35,883,980 without schizophrenia, published from 2004 to 2023. The pooled analysis revealed a significant association between a history of schizophrenia and an increased risk of T2DM (Odds Ratio [OR] = 2.15; 95% Confidence Interval [CI]: 1.83-2.52; I2 = 98.9%, P < 0.001). Stratified by gender, females with schizophrenia (OR = 2.12; 95% CI: 1.70-2.64; I2 = 90.7%, P < 0.001) had a significantly higher risk of T2DM than males (OR = 1.68; 95% CI: 1.39-2.04; I2 = 91.3%, P < 0.001). Regarding WHO regions, EURO (OR = 2.73; 95% CI: 2.23-3.35; I2 = 97.5%, P < 0.001) exhibited a significantly higher risk of T2DM compared to WPRO (OR = 1.72; 95% CI: 1.32-2.23; I2 = 95.2%, P < 0.001) and AMRO (OR = 1.82; 95% CI: 1.40-2.37; I2 = 99.1%, P < 0.001). In terms of follow-up years, the >20 years subgroup (OR = 3.17; 95% CI: 1.24-8.11; I2 = 99.4%, P < 0.001) showed a significantly higher risk of T2DM than the 10-20 years group (OR = 2.26; 95% CI: 1.76-2.90; I2 = 98.6%, P < 0.001) and <10 years group (OR = 1.68; 95% CI: 1.30-2.19; I2 = 95.4%, P < 0.001).

Conclusions

This meta-analysis indicates a strong association between schizophrenia and an elevated risk of developing diabetes, suggesting that schizophrenia may function as an independent risk factor for T2DM.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023465826.

Obesity-associated factors in psychiatric outpatients: A multicenter questionnaire survey

The prevalence of obesity is increasing worldwide, resulting in various health issues such as hypertension, dyslipidemia, diabetes mellitus, heart disease, and a lower life expectancy. Importantly, several psychiatric disorders and the use of psychotropic medications have been linked to obesity, and the possible risk factors need further investigation. This study examined the prevalence of obesity and its associated factors using a self-administered questionnaire. Participants were recruited from three outpatient clinics and individuals who met one or more of the ICD-10 F0-F9, G4 diagnoses were included. In total, 1384 participants completed the questionnaire about their lifestyle. Statistical analysis compared the demographic and clinical characteristics of the individuals who were obese (Body Mass Index: BMI ≥25) and those who were non-obese (BMI <25). The results revealed that the factors associated with obesity in psychiatric outpatients were being male, prolonged treatment duration, eating out frequently, and use of both second- and first-generation antipsychotics. The study emphasized the importance of closely monitoring BMI in individuals with multiple obesity-related factors.

Pharmacological interventions for antipsychotic-induced weight gain in schizophrenia: A network meta-analysis

OBJECTIVE

Antipsychotic-induced weight gain (AIWG) is a significant but frequently neglected adverse effect of first- and second-generation antipsychotic therapy, which may lead to cardiovascular disturbances. The present network meta-analysis (NMA) was conducted to evaluate and compare the effects of available treatment options in antipsychotic-induced weight gain (AIWG).

METHODS

The data was extracted from 68 relevant clinical trials after a literature search on MEDLINE/PubMed, Embase, Scopus, Cochrane databases and clinical trial registries. Random-effects Bayesian NMA was done to pool the effects across the interventions for the change in body weight from baseline. A network graph was built, a consistency model was run, node split analysis was performed, treatments were ranked as per the SUCRA score and meta-regression was done for the duration of therapy, baseline body weight and treatment strategy as the predictor variables. Finally, the results were sorted based on the certainty of evidence.

RESULTS

The drugs showing significant reduction in body weight in order of magnitude of effect size include sibutramine 10 mg (-8.0 kg; -16. to -0.21), metformin 750 mg + lifestyle modification (-7.5 kg; -12 to -2.8), topiramate 200 mg (-7 kg; -10 to -3.4), metformin 750 mg (-5.7 kg; -9.3 to -2.1), topiramate 100 mg (-5.7 kg; -8.8 to -2.5), topiramate 50 mg (-5.2 kg; -10 to -0.57), liraglutide 1.8 mg (-5.2 kg; -10., -0.080), sibutramine 15 mg (-4.5 kg; -8.9 to -0.59), nizatidine 300 mg (-3.0 kg; -5.9 to -0.23) and metformin 1000 mg (-2.3 kg; -4.6 to -0.0046). There was no effect of duration of follow-up, baseline body weight and, preventive versus therapeutic strategy on weight reduction in AIWG.

CONCLUSION

Metformin 750 mg with lifestyle modification was the most effective treatment for AIWG, followed by topiramate 200 mg, metformin 750 mg, and topiramate 100 mg with moderate certainty of evidence.

Effects of atypical antipsychotics on serum asprosin level and other metabolic parameters in patients with schizophrenia

BACKGROUND

In this cross-sectional study, we compared fasting serum asprosin levels and metabolic parameters between patients receiving one of three atypical antipsychotics (olanzapine, risperidone, or aripiprazole) and healthy subjects.

METHODS

The study population included 62 adult outpatients with schizophrenia and 22 healthy controls, matched for age and gender. Patients were in remission and had been on stable monotherapy with one of these atypical antipsychotics for over 6 months. Body Mass Index (BMI) and fasting serum levels of asprosin, glucose, HA1c, insulin, and lipid profile were compared across the investigated groups. Additionally, the number of participants meeting the insulin resistance criterion, defined as homeostasis model assessment for insulin resistance (HOMA-IR) >2.5, as well as the number of participants with elevated BMI levels (men >27 kg/m2, women >25 kg/m2) were compared among the groups.

RESULTS

We observed statistically significant differences in BMI and fasting serum levels of glucose, HA1c, insulin, triglyceride (TG), high-density lipoprotein cholesterol, and asprosin among patients receiving olanzapine or risperidone, as compared to those receiving aripiprazole and healthy subjects. Patients on aripiprazole exhibited values comparable to healthy subjects, whereas those on risperidone or olanzapine showed significantly higher values, with the highest observed in the olanzapine group. Additionally, the prevalence of participants meeting the insulin resistance criterion and those with elevated BMI was also greater in individuals receiving olanzapine or risperidone compared to those on aripiprazole and healthy subjects. Serum asprosin levels showed a significant positive correlation with BMI and several metabolic parameters, including HbA1c, fasting insulin, HOMA-IR, and TG. No significant differences were observed among the investigated groups in terms of serum levels of total cholesterol and low-density lipoprotein cholesterol.

CONCLUSIONS

Our cross-sectional study highlights the association between elevated asprosin levels, weight gain, and metabolic disorders in patients treated with olanzapine and risperidone. Given the bidirectional nature of the relationship between serum asprosin levels and these metabolic disturbances, further research is warranted to elucidate potential causative pathways.

Metabolic Syndrome and Its Associated Factors Among Patients With Schizophrenia Treated With Second-Generation Antipsychotics at Amanuel Mental Specialized Hospital, Ethiopia

Background Metabolic syndrome (MetS) encompasses a group of risk factors that increase the likelihood of developing cardiovascular diseases, thereby increasing the mortality rate. Second-generation antipsychotics (SGAs) are known for these side effects. This study aimed to determine the prevalence of MetS and its associated factors at Amanuel Mental Specialized Hospital. Methods A cross-sectional study was conducted from October 3, 2022, to August 31, 2023. Fasting blood sugar and lipid analysis were performed using the Dimension® EXL™ 200 Integrated Chemistry System (Siemens Healthineers, Malvern, PA, USA). A diagnosis of MetS was established using the modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III) criteria. IBM SPSS Statistics for Windows, Version 25 (Released 2017; IBM Corp., Armonk, NY, USA) was used for analysis. A binary logistic regression model was employed, and a p-value less than 0.05 was considered significant. Results A total of 271 participants were enrolled in the study. Most subjects were male (90%) and had a mean age of 34.2 years, with an SD of 10.5. Most participants (70.8%) had abnormal waist circumference, followed by lower high-density lipoprotein cholesterol (HDL-C) at 42.8%. The prevalence of MetS was 35.8%. Gender (being female) (adjusted odds ratio or AOR 3, 95% CI: 1.2-7.4; p = 0.02) and olanzapine use (AOR 2.2, 95% CI: 1.3-3.7; p = 0.005) were predictors of MetS. Conclusions MetS is highly prevalent in patients treated with SGAs. Being female and olanzapine use were predictors of MetS. Clinicians managing these patients should screen and monitor the metabolic components used to diagnose MetS.

Increased COVID-19 mortality in patients with schizophrenia: A retrospective study in Brazil

The risk that COVID-19 poses for mortality risk in individuals with schizophrenia in low- and middle-income countries has only been the subject of a few studies. In this retrospective study, we examined the standardized mortality ratio (SMR), by age group and sex, in a cohort of patients diagnosed with schizophrenia (n = 20,417), with second-generation antipsychotics, in a South Brazilian State database (Paraná-Brazil). We performed a linkage with the Brazilian Mortality Information System database between 2020 and 2021. We also assessed in a logistic regression how clozapine could affect COVID-19 mortality controlling by sex, age, and presence of obesity. A secondary analysis was to compare mortality with SMR due to COVID-19 in individuals with and without obesity. Compared to the State population (8,850,682 individuals), those with schizophrenia had more than two times greater risk of dying from COVID-19 (SMR = 2.21, 95 % CI: 1.90-2.55). Between the ages of 16 and 29, their risk is more than ten times higher than the state population (SMR = 10.18, 95 % CI: 4.73-19.33). Obesity showed an almost twofold risk of dying from COVID-19 in the patient's group (OR = 1.89, 95 % CI: 1.39-2.57). Clozapine was not found as a protector or a risk factor for COVID-19 mortality. In Brazil, a middle-income nation, people with schizophrenia are more likely to die prematurely from COVID-19. The burden of schizophrenia is higher in younger and in patients with obesity.

Peripheral Lipid Signatures, Metabolic Dysfunction, and Pathophysiology in Schizophrenia Spectrum Disorders

Metabolic dysfunction is commonly observed in schizophrenia spectrum disorders (SSDs). The causes of metabolic comorbidity in SSDs are complex and include intrinsic or biological factors linked to the disorder, which are compounded by antipsychotic (AP) medications. The exact mechanisms underlying SSD pathophysiology and AP-induced metabolic dysfunction are unknown, but dysregulated lipid metabolism may play a role. Lipidomics, which detects lipid metabolites in a biological sample, represents an analytical tool to examine lipid metabolism. This systematic review aims to determine peripheral lipid signatures that are dysregulated among individuals with SSDs (1) with minimal exposure to APs and (2) during AP treatment. To accomplish this goal, we searched MEDLINE, Embase, and PsychINFO databases in February 2024 to identify all full-text articles written in English where the authors conducted lipidomics in SSDs. Lipid signatures reported to significantly differ in SSDs compared to controls or in relation to AP treatment and the direction of dysregulation were extracted as outcomes. We identified 46 studies that met our inclusion criteria. Most of the lipid metabolites that significantly differed in minimally AP-treated patients vs. controls comprised glycerophospholipids, which were mostly downregulated. In the AP-treated group vs. controls, the significantly different metabolites were primarily fatty acyls, which were dysregulated in conflicting directions between studies. In the pre-to-post AP-treated patients, the most impacted metabolites were glycerophospholipids and fatty acyls, which were found to be primarily upregulated and conflicting, respectively. These lipid metabolites may contribute to SSD pathophysiology and metabolic dysfunction through various mechanisms, including the modulation of inflammation, cellular membrane permeability, and metabolic signaling pathways.

Using qualitative exit interviews to explore schizophrenia burden and treatment experience in clinical trial patients

Introduction

Qualitative research methods can be used to obtain a deeper understanding of patient experience by collecting information in the patients' own words about their encounters, perspectives, and feelings. In this study, patients with schizophrenia were interviewed to capture their voice and to complement the quantitative data typically obtained in clinical trials.

Methods

Semi-structured exit interviews were conducted with 41 patients who completed or prematurely discontinued from a phase 3, open-label trial (NCT02873208). The interview guide included open-ended questions on current and prior disease burden, symptoms, quality of life, and treatment experiences. Steps taken to reduce interview stress and secure the validity of data included interviewer sensitivity training specific to mental health conditions and schizophrenia, use of in-person interviews whenever possible and use of videoconferencing for remote interviews to promote trust and comfort, and working closely with clinical site staff to identify patient eligibility and willingness to participate. Transcripts based on audio recordings were content coded and analyzed using thematic analysis; a post-hoc quantitative content analysis was conducted.

Results

Patients reported that the symptoms of schizophrenia negatively impacted their work, relationships, self-esteem, emotional health, and daily activities. Most patients had positive experiences with medications that alleviated hallucinations, depression, and anxiety. However, side effects of medications were associated with negative impacts on physical, emotional, behavioral, and cognitive health. Lack of energy/drowsiness, weight gain, mood changes, and involuntary movements were the most common side effects reported with the use of antipsychotic medications. Patients reported unmet treatment needs related to better symptom control and to improved social and physical functioning.

Conclusion

Collection of qualitative information within a schizophrenia clinical development process provides value and insights into patients' views on burden of illness, experiences with previous medications, and experiences following participation in a clinical trial and can inform design for future studies.

Metabolic Syndrome among Patients Taking Atypical Antipsychotics: A Comparative Cross-Sectional Study at Erada and Mental Health Complex in Taif, Saudi Arabia

Introduction

Second-Generation Antipsychotics (SGAs) are widely used for treating psychiatric disorders due to their favorable side effect profile compared to First-Generation Antipsychotics (FGAs). However, SGAs are associated with significant metabolic side effects. This study aims to explore the sociodemographic and health differences between individuals using SGAs and those not using them.

Methods

A comparative cross-sectional study was conducted with 148 participants, including 102 SGA users and 46 non-users. Data were collected from patients and medical records, encompassing sociodemographic factors and health variables including diabetes mellitus, hypertension, cardiovascular disease, hyperlipidemia, waist circumference, fasting blood glucose, cholesterol, triglycerides, HDL, LDL, and BMI. Statistical analyses included chi-square and Fisher's exact tests to compare the two groups.

Results

SGA users had higher rates of overweight and obesity compared to non-users (p = 0.000), with 30.4% overweight and 29.4% obese among SGA users versus 21.7% overweight and 4.3% obese among non-users. A higher prevalence of cardiovascular disease was observed in SGA users (11.8% vs. 2.2%, p = 0.076). Although not statistically significant, trends indicated higher rates of diabetes mellitus and hyperlipidemia in non-users (30.4% vs. 18.6%, p = 0.110 and 7% vs. 0%, p = 0.083, respectively).

Conclusion

This study highlights significant differences in BMI and cardiovascular disease prevalence between SGA users and non-users, reinforcing the need for comprehensive metabolic monitoring in patients treated with SGAs. The findings underscore the importance of considering sociodemographic factors in managing the health risks associated with SGA use. Further research with larger sample sizes and longitudinal designs is warranted to better understand these associations and develop targeted interventions.

Multi-omics analysis reveals the impact of gut microbiota on antipsychotic-induced weight gain in schizophrenia

Emerging evidence indicates that gut microbial dysbiosis is associated with the development of antipsychotic-induced weight gain in schizophrenia (SZ). However, the exact taxonomic composition and functionality that constitute the "obesogenic" microbial profile remain elusive. Our retrospective survey identified two groups of the SZ population separated by BMI, with 1/3 of patients developing overweight/obesity after chronic antipsychotic treatment. Based on multi-omics analysis, we observed altered gut microbiota in SZ patients with overweight/obesity, characterized by a reduction in several beneficial bacteria genera, including Bacteroides, Parabacteroides, Akkermansia, and Clostridium. This microbial dysbiosis was accompanied by disrupted energy expenditure and nutritional metabolism, worsened metabolic indices, and reduced levels of beneficial metabolites, e.g. indole-3-carboxylic acid and propionic acid. Moreover, leveraging data from first-episode drug-naïve schizophrenia (FSZ) patients at one-month and one-year follow-up, both artificial neural network and random forest classifier-based prediction models demonstrated a strong ability of microbial profiles to predict antipsychotic-induced weight gain. Importantly, FSZ patients with higher relative abundance of Parabacteria distasonis were less susceptible to antipsychotic-induced weight gain. Thus, gut microbiota could serve as a noninvasive approach to predict antipsychotic-induced weight gain, guiding clinical antipsychotics administration and developing novel therapeutic strategies for weight management in SZ.

Deep Learning-based Brain Age Prediction in Patients With Schizophrenia Spectrum Disorders

BACKGROUND AND HYPOTHESIS

The brain-predicted age difference (brain-PAD) may serve as a biomarker for neurodegeneration. We investigated the brain-PAD in patients with schizophrenia (SCZ), first-episode schizophrenia spectrum disorders (FE-SSDs), and treatment-resistant schizophrenia (TRS) using structural magnetic resonance imaging (sMRI).

STUDY DESIGN

We employed a convolutional network-based regression (SFCNR), and compared its performance with models based on three machine learning (ML) algorithms. We pretrained the SFCNR with sMRI data of 7590 healthy controls (HCs) selected from the UK Biobank. The parameters of the pretrained model were transferred to the next training phase with a new set of HCs (n = 541). The brain-PAD was analyzed in independent HCs (n = 209) and patients (n = 233). Correlations between the brain-PAD and clinical measures were investigated.

STUDY RESULTS

The SFCNR model outperformed three commonly used ML models. Advanced brain aging was observed in patients with SCZ, FE-SSDs, and TRS compared to HCs. A significant difference in brain-PAD was observed between FE-SSDs and TRS with ridge regression but not with the SFCNR model. Chlorpromazine equivalent dose and cognitive function were correlated with the brain-PAD in SCZ and FE-SSDs.

CONCLUSIONS

Our findings indicate that there is advanced brain aging in patients with SCZ and higher brain-PAD in SCZ can be used as a surrogate marker for cognitive dysfunction. These findings warrant further investigations on the causes of advanced brain age in SCZ. In addition, possible psychosocial and pharmacological interventions targeting brain health should be considered in early-stage SCZ patients with advanced brain age.

Influencing factors of different metabolic status in hospitalized patients with schizophrenia

Objective

The aim of this study was to explore the risk factors for different metabolic status in patients with schizophrenia.

Methods

A total of 968 hospitalized patients with schizophrenia were recruited. Fasting blood glucose (GLU) and lipid profile, including total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG) were measured. Schizophrenia patients were divided into four groups: normal metabolism and weight (NMNW), abnormal metabolism and normal weight (AMNW), normal metabolism and overweight/obesity (NMO), and abnormal metabolism and overweight/obesity (AMO).

Results

Our results showed that NMNW, AMNW, NMO, and AMO accounted for 25.3%, 12.7%, 25.4%, and 36.6%, respectively. There were significant differences in age, disease duration, body mass index (BMI), waist circumference, chronic disease, systolic blood pressure (SBP), diastolic blood pressure (DBP), GLU, TG, TC, HDL-C, and LDL-C among these four groups (all p < 0.05). With the NMNW group as the reference, the disordered multiple classification regression analysis showed that chronic disease was a significant risk factor for AMNW (OR = 5.271, 95% CI = 3.165 to 8.780, p < 0.001) and AMO (OR = 3.245, 95% CI = 2.004 to 5.254, p < 0.001), age was an important protective factor for NMO (OR = 0.968, 95% CI = 0.943 to 0.994, p = 0.015) and AMO (OR = 0.973, 95% CI = 0.948 to 0.999, p < 0.042), waist circumference was a significant risk factor for NMO (OR = 1.218, 95% CI = 1.180 to 1.257, p < 0.001) and AMO (OR = 1.252, 95% CI = 1.212 to 1.291, p < 0.001), and college education was an obvious protective factor for AMO (OR = 0.343, 95% CI = 0.123 to 0.953, p < 0.040) among patients with schizophrenia.

Conclusion

The findings of our study underscored the importance of factors such as age, education level, chronic disease, and waist circumference when exploring the influencing factors and biological mechanisms of obesity-related metabolic problems in schizophrenia patients.

Triglyceride-rich lipoprotein, remnant cholesterol, and apolipoproteins CII, CIII, and E in patients with schizophrenia

Patients with schizophrenia show a disproportionally increased risk of cardiovascular disease. Hypertriglyceridemia is prevalent in this population; however, how this relates to levels of remnant cholesterol, triglyceride (TG)-rich lipoprotein (TRL) particle size and composition, TG turnover, and apolipoprotein (apo) and angiopoietin-like protein (ANGPTL) concentrations is unknown. Fasting levels of cholesterol (total [TC], LDL-C, HDL-C, non-HDL-C and remnant cholesterol) and TG were determined in 110 patients diagnosed with schizophrenia, and 46 healthy controls. TRL particle size, concentration and composition, and β-hydroxybutyrate (TG turnover marker) were assessed by NMR. Levels of apoCII, apoCIII, apoE, ANGPTL3, ANGPTL4, and ANGPTL8 were measured by ELISA, and apoCII, apoCIII and apoE were further evaluated in HDL and non-HDL fractions. Patients with schizophrenia had significantly elevated TG, TG:apoB ratio, non-HDL-C, remnant cholesterol, non-HDL-apoCII and non-HDL-apoCIII, and HDL-apoE (all P < 0.05), lower HDL-C and apoA-I (all P < 0.001), and comparable apoB, TC, TC:apoB ratio, LDL-C, β-hydroxybutyrate, ANGPTL3, ANGPTL4 and ANGPTL8 to healthy controls. Patients had a 12.0- and 2.5-fold increase in the concentration of large and medium TRL particles respectively, but similar cholesterol:TG ratio within each particle. Plasma TG, remnant cholesterol, and large and medium TRL particle concentrations correlated strongly with apoCII, apoCIII, and apoE in the non-HDL fraction, and with apoCIII and apoE in the HDL fraction in patients with schizophrenia. Differences in TG, HDL-C, TRL particle concentrations, apoCIII, and apoE persisted after adjustment for conventional risk factors. These results are consistent with impaired TRL lipolysis and clearance in patients with schizophrenia which may be responsive to targeting apoCIII.