Routine screening and rates of metabolic syndrome in patients treated with clozapine and long-acting injectable antipsychotic medications: a cross-sectional study

The relationship of cardiovascular disease risk, clozapine antipsychotic use and cognitive function in a large Chinese schizophrenia cohort

OBJECTIVE

This study explores the intricate relationship between clozapine use, cardiovascular disease (CVD) risk, and cognitive function in patients with schizophrenia (SCZ).

METHODS

A cohort comprising 765 patients was stratified based on clozapine usage. Data on demographics, clinical characteristics, and glycolipid metabolism were collected. The Framingham Risk Score and vascular age were calculated using gender-specific Cox regression calculators. Cognitive function was assessed with the Repeatable Battery for Assessment of Neuropsychological Status.

RESULTS

Among the patients, 34.6 % were clozapine users. Clozapine users exhibited lower systolic blood pressure, high-density lipoprotein cholesterol and total cholesterol (all ps < 0.05). Furthermore, clozapine users exhibited higher PANSS scores, along with lower scores in RBANS scores (all ps < 0.05). Correlation analysis revealed positive correlation between CVD risk in non-clozapine users and negative symptom scores (r = 0.074, p = 0.043), and negative correlation with positive symptom scores and RBANS scores (r = -0.121, p = 0.001; r = -0.091, p = 0.028). Multivariate stepwise regression analysis indicated that attention scores as predictive factors for increased CVD risk in clozapine users (B = -0.08, 95 %CI = -0.11 to -0.03, p = 0.003).

CONCLUSIONS

Patients with SCZ using clozapine exhibit more severe clinical symptoms and cognitive impairments. Attention emerges as a predictor for increased CVD risk in clozapine users.

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.

Second to none: rationale, timing, and clinical management of clozapine use in schizophrenia

Despite its enduring relevance as the single most effective and important evidence-based treatment for schizophrenia, underutilization of clozapine remains considerable. To a substantial degree, this is attributable to a reluctance of psychiatrists to offer clozapine due to its relatively large side-effect burden and the complexity of its use. This underscores the necessity for continued education regarding both the vital nature and the intricacies of clozapine treatment. This narrative review summarizes all clinically relevant areas of evidence, which support clozapine's wide-ranging superior efficacy - for treatment-resistant schizophrenia (TRS) and beyond - and make its safe use eminently feasible. Converging evidence indicates that TRS constitutes a distinct albeit heterogeneous subgroup of schizophrenias primarily responsive to clozapine. Most importantly, the predominantly early onset of treatment resistance and the considerable decline in response rates associated with its delayed initiation make clozapine an essential treatment option throughout the course of illness, beginning with the first psychotic episode. To maximize patients' benefits, systematic early recognition efforts based on stringent use of TRS criteria, a timely offer of clozapine, thorough side-effect screening and management as well as consistent use of therapeutic drug monitoring and established augmentation strategies for suboptimal responders are crucial. To minimize permanent all-cause discontinuation, re-challenges after neutropenia or myocarditis should be considered. Owing to clozapine's unique efficacy, comorbid conditions including substance use and most somatic disorders should not dissuade but rather encourage clinicians to consider clozapine. Moreover, treatment decisions need to be informed by the late onset of clozapine's full effects, which for reduced suicidality and mortality rates may not even be readily apparent. Overall, the singular extent of its efficacy combined with the high level of patient satisfaction continues to distinguish clozapine from all other available antipsychotics.

Drug-drug interactions involving combinations of antipsychotic agents with antidiabetic, lipid-lowering, and weight loss drugs

INTRODUCTION

Patients with severe mental illness (SMI) have a high risk for diabetes, dyslipidemia, and other components of metabolic syndrome. Patients with these metabolic comorbidities and cardiac risk factors should receive not only antipsychotics but also medications aiming to reduce cardiovascular risk. Therefore, many patients may be exposed to clinically relevant drug-drug interactions.

AREAS COVERED

This narrative review summarizes data regarding the known or potential drug-drug interactions between antipsychotics and medications treating metabolic syndrome components, except for hypertension, which has been summarized elsewhere. A literature search in PubMed and Scopus up to 7/31/2021 was performed regarding interactions between antipsychotics and drugs used to treat metabolic syndrome components, aiming to inform clinicians' choice of medication for patients with SMI and cardiometabolic risk factors in need of pharmacologic interventions.

EXPERT OPINION

The cytochrome P450 system and, to a lesser extent, the P-glycoprotein transporter is involved in the pharmacokinetic interactions between antipsychotics and some statins or saxagliptin. Regarding pharmacodynamic interactions, the available information is based mostly on small studies, and for newer classes, like PCSK9 inhibitors or SGLT2 inhibitors, data are still lacking. However, there is sufficient information to guide clinicians in the process of selecting safer antipsychotic-cardiometabolic risk reduction drug combinations.

Metabolic syndrome and cardiovascular risk between clozapine and non-clozapine antipsychotic users with schizophrenia

INTRODUCTION

Clozapine use is associated with higher risks of metabolic side effects and cardiovascular diseases (CVD). Thus, this study aims to establish and compare the cardiometabolic profiles between non-clozapine antipsychotic and clozapine users with schizophrenia.

METHODS

Data from 88 non-clozapine and 166 clozapine users were extracted from existing databases - demographics, medications, smoking and medical histories, anthropometric parameters, serum lipid and fasting glucose levels. Prevalence of metabolic syndrome (MetS) was established using the AHA/NHLBI criteria. Cardiovascular risk profiles were established using the Framingham risk score (FRS).

RESULTS

The clozapine group had significantly higher proportions of diagnosed hypertension (10.8 % vs. 3.4 %, p = 0.041), diabetes mellitus (15.7 % vs. 3.4 %, p = 0.003) and dyslipidemia (36.7 % vs. 12.5 %, p < 0.001). However, the non-clozapine antipsychotic group had poorer anthropometric, serum lipids and glucose levels. The prevalence rates of MetS in the clozapine and non-clozapine antipsychotic groups were not statistically significant at 42.8 % and 43.2 %, respectively. As for CVD risk, the non-clozapine antipsychotic group had significantly higher FRS (6.59 % vs. 6.12 %, p = 0.001).

CONCLUSION

Although clozapine users had higher rates of diagnosed metabolic conditions, other cardiometabolic parameters appeared better compared to non-clozapine antipsychotic users, which could be due to greater awareness, earlier detection and treatment. Regardless of the type of antipsychotic used, metabolic abnormalities are prevalent in individuals with schizophrenia; physical healthcare should be prioritised alongside mental healthcare in this group.

Drug-drug interactions involving antipsychotics and antihypertensives

INTRODUCTION

Antipsychotics represent the mainstay in the treatment of patients diagnosed with major psychiatric disorders. Hypertension, among other components of metabolic syndrome, is a common finding in these patients. For their psychiatric and physical morbidity, many patients receive polypharmacy, exposing them to the risk of clinically relevant drug-drug interactions.

AREAS COVERED

This review summarizes the knowledge regarding the known or potential drug-drug interactions between antipsychotics and the main drug classes used in the treatment of hypertension. We aimed to provide the clinician an insight into the pharmacokinetic and pharmacodynamic interactions between these drugs for a better choice of combinations of drugs to treat both the mental illness and cardiovascular risk factors. For this, we performed a literature search in PubMed and Scopus databases, up to 31 July 2021.

EXPERT OPINION

The main pharmacokinetic interactions between antipsychotics and antihypertensive drugs involve mainly the cytochrome P450 system. The pharmacodynamic interactions are produced by multiple mechanisms, leading to concurrent binding to the same receptors. The data available regarding drug-drug interactions is mostly based on case reports and small studies and therefore should be interpreted with caution. The current knowledge is sufficiently strong to guide clinicians in selecting safer drug combinations as summarized here.

Influence of antipsychotics on metabolic syndrome risk in patients with schizophrenia

OBJECTIVE

Many studies so far have shown that antipsychotic therapy may have an effect on the development of metabolic syndrome in patients diagnosed with schizophrenia. Our goal was to determine whether our respondents are at risk for developing metabolic syndrome and who is more predisposed to it.

METHODS

In a stable phase, 60 patients diagnosed with schizophrenia were equally divided into three groups according to the drug (risperidone, clozapine, and aripiprazole monotherapy). Control group had 20 healthy examinees. Patients were evaluated first using The Positive and Negative Syndrome Scale (PANSS). Prolactin, lipid status, glycemia, insulin, cytokine values (IL-33, TGF-β, and TNF-α) and C-reactive protein (CRP) were measured. Also, Body mass index (BMI), Homeostatic Model Assesment for Insulin Resistance (HOMA index), waist and hip circumference (WHR) and blood pressure (TA) measurement were performed in the study.

RESULTS

Patients treated with risperidone compared to healthy control subjects and aripiprazol group of patients had statistically significant difference in prolactin levels. In clozapine group compared to healthy control group values of HDL cholesterol and glucose level were statistically significant different. In aripiprazole group compared to healthy control group value of BMI was statistically significant different. Statistically significant correlations were found in TNF-α with glucose and HOMA index in risperidone treated patients and with BMI in clozapine group of patients; IL-33 with glucose in risperidone and with BMI in clozapine group of patients and TGF-β with glucose in risperidone group, with insulin and HOMA index in clozapine group and statistically significant negative correlation with LDL cholesterol in aripiprazole group of patients.

CONCLUSION

Patients on risperidone and clozapine therapy may be at greater risk of developing metabolic syndrome than patients treated with aripiprazole. Statistically significant difference in concentration of TNF-α and TGF-β was in the group of patients treated with risperidone compared to healthy control group.

Addressing physical health in mental illness: the urgent need to translate evidence-based interventions into routine clinical practice

People affected by severe mental health disorders have a greatly reduced life expectancy compared to their non-affected peers. Cardiovascular disease is the main contributor to this early mortality, caused by higher rates of smoking, physical inactivity, unhealthy diet, sleep disturbance, excessive alcohol use or substance abuse and medication side effects. Therefore, we need to take a preventative approach and translate effective interventions for physical health into routine clinical practice. These interventions should be delivered across all stages of mental health disorders and could also have the added benefit of leading to improvements in mental health. Furthermore, we need to advocate to ensure that people affected by severe mental health disorders receive the appropriate medical assessments and treatments when indicated. This themed issue highlights that physical health is now an urgent priority for funding and development in mental health services. The widespread implementation of evidence-based interventions into routine clinical practice is an essential need for consideration by clinicians and policymakers.

Minding metabolism: targeted interventions to improve cardio-metabolic monitoring across early and chronic psychosis

Background

Antipsychotics (APs) increase weight, metabolic syndrome, diabetes and cardiovascular disease. Guidelines recommend cardio-metabolic monitoring at initial assessment, at 3 months and then annually in people prescribed APs.

Aim

To determine the rates of cardio-metabolic monitoring in AP treated early and chronic psychosis and to assess the impact of targeted improvement strategies.

Methods

Medical records were reviewed in two cohorts of first-episode psychosis (FEP) patients before and after the implementation of a physical health parameter checklist and electronic laboratory order set. In a separate group of patients with chronic psychotic disorders, adherence to annual monitoring was assessed before and 3 months after an awareness-raising educational intervention.

Results

In FEP, fasting glucose (39% vs 67%, p=0.05), HbA1c (0% vs 24%, p=0.005) and prolactin (18% vs 67%, p=0.001) monitoring improved. There were no significant differences in weight (67% vs 67%, p=1.0), BMI (3% vs 10%, p=0.54), waist circumference (3% vs 0%, p=1.0), fasting lipids (61% vs 76% p=0.22) or ECG monitoring (67% vs 67%, p=1.0). Blood pressure (BP) (88% vs 57%, p=0.04) and heart rate (91% vs 65%, p=0.03) monitoring dis-improved. Diet (0%) and exercise (<15%) assessment was poor. In chronic psychotic disorders, BP monitoring improved (20% vs 41.4%, p=0.05), whereas weight (17.0% vs 34.1%, p=0.12), BMI (9.7% vs 12.1%, p=1.0), fasting glucose (17% vs 24.3%, p=0.58) and fasting lipids remained unchanged (17% vs 24.3%, p=0.58).

Conclusions

Targeted improvement strategies resulted in a significant improvement in a limited number of parameters in early and chronic psychotic disorders. Overall, monitoring remained suboptimal.