Clinical monitoring and management of the metabolic syndrome in patients receiving atypical antipsychotic medications

Characterization of the white matter networks in schizophrenia patients with metabolic syndrome undergoing risperidone or clozapine treatment

Background

The characteristics of the white matter network in schizophrenia patients with metabolic syndrome (MetS) remain unclear. This study analyzed white matter network characteristics in schizophrenia patients with MetS undergoing risperidone or clozapine treatment and explored their potential association with metabolic index and cognitive function.

Methods

Diffusion tensor imaging was used to evaluate 19 schizophrenia patients with comorbid MetS (MetS-SZ) and 20 schizophrenia patients without MetS (nMetS-SZ), as well as 25 healthy controls (HC). Differences in these network metrics were compared among these through groups using ANCOVAs and post-hoc testing. Associations between differential network metrics and clinical characteristics were also analyzed.

Results

Relative to HC individuals, both MetS-SZ and nMetS-SZ patients exhibited a reduction in bilateral thalamic degree centrality (DC) and nodal efficiency (NE). Relative to the HC group, MetS-SZ patients exhibited reductions in both global efficiency and local efficiency, lower levels of DC in the superior occipital gyrus, and reduced NE in the prefrontal and occipital cortices. Relative to nMetS-SZ patients, MetS-SZ patients also exhibited reduced global efficiency and local efficiency, together with decreases in NE in the prefrontal cortex, medial and paracentral cingulate gyrus, occipital cortex, angular gyrus, and temporal pole. Impairments in executive function were associated with reduced NE values in the right angular gyrus, left medial and paracingulate gyrus. Increases in waist circumference and hip circumference, as well as impairments in executive function, were associated with reductions in NE among patients with schizophrenia.

Conclusion

Specific changes in the structure of the white matter network accompanying cognitive deficits were observed in MetS-SZ patients. These results offer new insight into the mechanisms underlying the neural network in schizophrenia patients with MetS.

Consumers' and practitioners' perspectives on the antipsychotic induced metabolic syndrome and challenges in metabolic monitoring to patient prescribed second generation antipsychotics in severe mental illness

Second-generation antipsychotics are highly effective in controlling symptoms if taken as prescribed. However, poor medication adherence results in patients continuing to experience psychotic episodes and metabolic disturbances that can cause them to develop abnormal lipid levels, weight gain, and diabetes. Understanding the underlying modulators that impact follow-up appointments and metabolic monitoring is critical. Semi-structured interviews were conducted with patients and their treating psychiatrists across four sites in South India. Narrative data were thematically analyzed, informed by an inductive approach. Patient-reported barriers included medication side effects, lack of awareness about metabolic monitoring, and financial constraints. Psychiatrists reported both patient and resource barriers that impact their provision of care. This study has shed light on key barriers impacting the provision of care and subsequently health outcomes for patients living with severe mental illness to inform strategies that target barriers for both patients and psychiatrists.

Combined sulforaphane and β-sitosterol mitigate olanzapine-induced metabolic disorders in rats: Insights on FOXO, PI3K/AKT, JAK/STAT3, and MAPK signaling pathways

One of the best antipsychotics for treating schizophrenia and bipolar disorders is olanzapine (OLA). However, its use is restricted owing to unfavorable adverse effects as liver damage, dyslipidemia, and weight gain. The primary objective of the present investigation was to examine the signaling mechanisms that underlie the metabolic disruption generated by OLA. Besides, the potential protective effect of sulforaphane (SFN) and β-sitosterol (βSS) against obesity and metabolic toxicity induced by OLA were inspected as well. A total of five groups of male Wistar rats were established, including the control, OLA, SFN+OLA, βSS+OLA, and the combination + OLA groups. Hepatic histopathology, biochemical analyses, ultimate body weights, liver function, oxidative stress, and pro-inflammatory cytokines were evaluated. In addition to the relative expression of FOXO, the signaling pathways for PI3K/AKT, JAK/STAT3, and MAPK were assessed as well. All biochemical and hepatic histopathological abnormalities caused by OLA were alleviated by SFN and/or βSS. A substantial decrease in systolic blood pressure (SBP), proinflammatory cytokines, serum lipid profile parameters, hepatic MDA, TBIL, AST, and ALT were reduced through SFN or/and βSS. To sum up, the detrimental effects of OLA are mediated by alterations in the Akt/FOXO3a/ATG12, Ras/SOS2/Raf-1/MEK/ERK1/2, and Smad3,4/TGF-β signaling pathways. The administration of SFN and/or βSS has the potential to mitigate the metabolic deficit, biochemical imbalances, hepatic histological abnormalities, and the overall unfavorable consequences induced by OLA by modulating the abovementioned signaling pathways.

Adherence to the monitoring of metabolic syndrome in patients receiving antipsychotics in outpatient clinics in Saudi Arabia

BACKGROUND

Monitoring protocols have been developed because patients taking atypical antipsychotics are more prone to developing metabolic syndrome, which leads to possible increased mortality and morbidity. The aim of this study was to assess the degree of adherence to the recommendations of metabolic syndrome monitoring.

MATERIALS AND METHODS

This study was conducted in two large psychiatric facilities in the Eastern Province of Saudi Arabia. A retrospective analysis of the medical records of 350 patients taking antipsychotic medications was done, and an assessment was made of the frequency of metabolic monitoring at each of the intervals as suggested by the American Diabetes Association. Data was analyzed using SPSS; descriptive statistics. were computed and Chi-square test was used to determine statistical significance for association between categorical variable.

RESULTS

The mean age of the patients was 34.9 ± 18 years; 64.6% were males. Olanzapine was the most prescribed medication (43.7%, n = 153), followed by quetiapine (17.4%, n = 61). Only one-third of the patients (29.6%) completed all the baseline parameters. Documentation of baseline parameters was low for glucose level (38.9%), lipid panel (17.3%), weight (25.2%), and waist circumference (1.4%). Adherence to yearly monitoring was much lower than at baseline (mean percentage: 29.6% vs. 1.7%). Furthermore, 45% of the patients were classified as obese and 10% had metabolic comorbidity.

CONCLUSION

Individuals with mental illness who were taking antipsychotics did not undergo proper metabolic screening during antipsychotic treatment. Barriers to adherence to the monitoring guidelines should be examined and addressed. Giving assistance to practitioners to recall the required laboratory tests and vitals at certain intervals could help improve metabolic monitoring practices.

Comparative predictive efficacy of atherogenic indices on metabolic syndrome in patients with schizophrenia

BACKGROUND

Schizophrenia patients endure high risks of metabolic syndrome and related cardiovascular mortality. Evidence on comparing detective power among atherogenic indices of the metabolic syndrome in schizophrenia patients with antipsychotics treatment is still lacking.

METHOD

We recruited 128 schizophrenia patients and collected blood samples to determine plasma levels of fasting glucose, total cholesterol, triglycerides (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol. Five components of metabolic syndrome were assessed. Atherogenic indices, such as atherogenic index of plasma (AIP), atherogenic coefficient (AC), Castelli's risk index-I (CRI-I) and Castelli's risk index-II (CRI-II), were calculated. The area under the receiver operating characteristics curve (AUC) and regression analysis were adopted to compare the detective power of each atherogenic index for metabolic syndrome. The optimal cutoff points using maximization of Youden's index and the positive likelihood ratios were calculated.

RESULTS

51 (39.8 %) had metabolic syndrome. AIP (0.2 ± 0.2 vs. 0.6 ± 0.2), AC (2.5 ± 0.9 vs. 3.4 ± 0.9), CRI-I (3.5 ± 0.9 vs. 4.4 ± 0.9,) and CRI-II (2.1 ± 0.7 vs. 2.6 ± 0.7) were higher in the group with metabolic syndrome (all p < 0.001). AIP had the highest AUC (0.845, 95 % CI: 0.770, 0.920). The optimal cut-off point of AIP to predict metabolic syndrome was 0.4 with the corresponding sensitivity 83.7 %, specificity 80.3 %, and positive likelihood ratio 4.2. Regression analysis revealed that only AIP significantly correlated with the metabolic syndrome (p < 0.001).

CONCLUSION

Among atherogenic indices, only AIP has superior discrimination for detecting metabolic syndrome in schizophrenia with antipsychotics treatment.

Previous exposure to antipsychotic drug treatment is an effective predictor of metabolic disturbances experienced with current antipsychotic drug treatments

BACKGROUND

Antipsychotic drugs are associated with adverse events, but serious side effects are not frequent. This study aimed to ascertain whether previous exposure to antipsychotic treatment was associated with metabolic disturbances induced by current antipsychotic medication.

METHODS

A total of 115 antipsychotic-naïve patients, 65 patients with previous exposure to low-metabolic-risk antipsychotics, and 88 patients with previous exposure to high-metabolic-risk antipsychotics were enrolled in our case-control study. All patients were administered olanzapine. Body weight, body mass index (BMI), biochemical indicators of blood glucose and lipids, the proportion of patients who gained more than 7% of their body weight at baseline, and the percentage of dyslipidemia were evaluated. All assessments were conducted at baseline and at 4 and 6 weeks after treatment.

RESULTS

Olanzapine treatment resulted in a significant increase in body weight and BMI in antipsychotic-naïve patients compared with the other two groups (both p < 0.05). However, increases in lipid levels in the high-metabolic-risk antipsychotics group were significantly higher than that in the other two groups (both p < 0.05). A history of antipsychotics use was not associated with weight gain (all p > 0.05). Higher low-density lipoprotein cholesterol ≥3.37 mmol/L^-1 was observed in antipsychotics exposure group compared with no history of antipsychotics exposure (aOR, 1.75; 95% CI, 1.07-3.52). Particularly, a history of high-metabolic-risk antipsychotics use was associated with a higher risk of LDL-C ≥3.37 mmol/L-1(aOR, 2.18; 95% CI, 1.03-3.32) compare with other two groups.

CONCLUSIONS

A history of exposure to antipsychotics, particularly high-metabolic-risk antipsychotics, is associated with current antipsychotic-induced metabolic disturbances.

Twelve-month outcomes in overweight/obese users with mental disorders following a multi-element treatment including diet, physical activity, and positive thinking: The real-world "An Apple a Day" controlled trial

The present study aimed to evaluate the 12-month effectiveness of a real-world weight loss transdiagnostic intervention in overweight/obese participants affected by mental disorders under psychopharmacological treatment. We conducted a real-world, controlled, pragmatic outpatient trial. We allocated 58 overweight/obese adults under psychopharmacological treatment from a mental health outpatient unit and 48 overweight/obese adults from a cardiovascular prevention outpatient unit, and assigned them to an intervention or treatment usual as condition (TAU) enriched by life-style advice. Participants in both intervention groups took part in a diet programme (the modified OMNIHeart dietary protocol) and monitoring of regular aerobic activity. A brief group programme ("An Apple a Day" Metacognitive Training, Apple-MCT) was added in the intervention group of participants affected by mental disorders. The primary outcome was weight loss. Secondary outcomes included anthropometric, clinical, and metabolic variables. Psychopathology and health-related quality of life were also evaluated in the psychiatric sample. At 12 months, both intervention groups showed a more marked mean decrease in weight (6.7 kg, SD: 3.57) than the TAU group (0.32 kg, SD: 1.96), and a statistically significant improvement in metabolic variables compared with the control groups. Furthermore, the participants affected by mental disorders included in the intervention group reported improved health-related quality of life. Our findings suggest the need to implement integrated interventions based on a dietary protocol, physical activity, and modification of cognitive style in overweight/obese users with mental disorders.

Epicardial adipose tissue and adrenal gland volume in patients with borderline personality disorder

Borderline personality disorder (BPD) is associated with an elevated mortality risk that is partially attributed to suicide, but few studies examined other possible causes of premature death. The present study compared epicardial adipose tissue (EAT) volume as a known early predictor of premature cardiovascular morbidity, cardiovascular risk indices, and adrenal gland volume (AGV) as an indicator for chronic hypothalamus-pituitary-adrenal (HPA) axis activation in females with borderline personality disorder (BPD), major depressive disorder (MDD) and in healthy individuals. Twenty-eight patients with BPD comorbid with MDD (BPD/MDD), 22 MDD patients and 26 healthy females (CTRL) of comparable age were included. EAT and AGV were assessed by magnetic resonance tomography; 10-year cardiovascular risk and diabetes risk were determined by PROCAM and FINDRISK score; metabolic syndrome was defined following National Cholesterol Education Adult Treatment Panel III R (NCEP/ATP III) criteria. MADRS was used to assess depression severity. After adjustment for age, body mass index (BMI), and physical activity, EAT and AGV were significantly increased in BPD/MDD compared to MDD and CTRL. EAT and AGV displayed a positive correlation. Finally, diabetes risk in BPD/MDD was elevated compared to CTRL and MDD. The present study highlights the increased cardiometabolic risk of BPD patients. We identify EAT accumulation as an early predictor and potential mediator of cardiovascular disease in BPD that appears to be driven at least in part by HPA axis dysregulation. Therefore, interventions that reduce EAT volume (i.e. exercise and diet) should be considered in the clinical management of BPD.

Quantifying the progression of non-alcoholic fatty liver disease in human biomimetic liver microphysiology systems with fluorescent protein biosensors

Metabolic syndrome is a complex disease that involves multiple organ systems including a critical role for the liver. Non-alcoholic fatty liver disease (NAFLD) is a key component of the metabolic syndrome and fatty liver is linked to a range of metabolic dysfunctions that occur in approximately 25% of the population. A panel of experts recently agreed that the acronym, NAFLD, did not properly characterize this heterogeneous disease given the associated metabolic abnormalities such as type 2 diabetes mellitus (T2D), obesity, and hypertension. Therefore, metabolic dysfunction-associated fatty liver disease (MAFLD) has been proposed as the new term to cover the heterogeneity identified in the NAFLD patient population. Although many rodent models of NAFLD/NASH have been developed, they do not recapitulate the full disease spectrum in patients. Therefore, a platform has evolved initially focused on human biomimetic liver microphysiology systems that integrates fluorescent protein biosensors along with other key metrics, the microphysiology systems database, and quantitative systems pharmacology. Quantitative systems pharmacology is being applied to investigate the mechanisms of NAFLD/MAFLD progression to select molecular targets for fluorescent protein biosensors, to integrate computational and experimental methods to predict drugs for repurposing, and to facilitate novel drug development. Fluorescent protein biosensors are critical components of the platform since they enable monitoring of the pathophysiology of disease progression by defining and quantifying the temporal and spatial dynamics of protein functions in the biosensor cells, and serve as minimally invasive biomarkers of the physiological state of the microphysiology system experimental disease models. Here, we summarize the progress in developing human microphysiology system disease models of NAFLD/MAFLD from several laboratories, developing fluorescent protein biosensors to monitor and to measure NAFLD/MAFLD disease progression and implementation of quantitative systems pharmacology with the goal of repurposing drugs and guiding the creation of novel therapeutics.

Clinical, Biochemical and Genetic Variables Associated With Metabolic Syndrome in Patients With Schizophrenia Spectrum Disorders Using Second-Generation Antipsychotics: A Systematic Review

Background: Individuals with severe mental illness experience increased morbidity and mortality compared to the general population. Adverse effects of antipsychotics, including weight gain, may contribute to the development of metabolic syndrome (MetS), which is associated with increased risks of all-cause and cardiovascular disease mortality. We aim to provide a comprehensive overview of clinical, biochemical and genetic factors associated with MetS among patients with schizophrenia spectrum disorders using second-generation antipsychotics (SGA). Methods: A literature search was performed in Pubmed and Embase to identify all cohort studies, cross-sectional studies and clinical trials investigating associations with MetS in patients with schizophrenia spectrum disorders using SGAs. We extracted and enumerated clinical, biochemical and genetic factors reported to be associated with MetS. We defined factors associated with MetS as factors being reported as associated with MetS in two or more studies. Results: 58 studies were included in this review (n = 12,123). In total, 62 factors were found to be associated with increased risk of MetS. Thirty one out of 58 studies investigated factors that were reported as associated with MetS in two or more studies. With regard to clinical factors, we found gender, higher age, concomitant use of mood stabilizers, higher baseline and current BMI, earlier SGA exposure, higher dose, longer duration of treatment, psychosis and tobacco smoking to be significantly associated with MetS. Furthermore, the biochemical factors hypo-adiponectinemia, elevated levels of C-reactive protein (CRP) and higher white blood cell (WBC) count were identified as factors associated with MetS. Among pharmacogenetic factors, the rs1414334 C-allele of the HTR2C-gene was associated with MetS in patients using SGA. Conclusion: In this systematic review investigating clinical, biochemical and genetic factors associated with MetS in patients using SGAs we found that higher age, higher baseline BMI, higher current BMI and male as well as female gender were positively associated with MetS across all antipsychotics. This study may set the stage for the application of clinical, biochemical and genetic factors to predict the risk of developing MetS in patients using SGAs. Future research is needed to determine which patients using SGAs are at risk to develop MetS in clinical practice.

Clozapine: An Updated Overview of Pharmacogenetic Biomarkers, Risks, and Safety-Particularities in the Context of COVID-19

BACKGROUND

clozapine (CLZ) use is precarious due to its neurological, cardiovascular, and hematological side effects; however, it is the gold standard in therapy-resistant schizophrenia (TRS) in adults and is underused.

OBJECTIVE

to examine the most recent CLZ data on (a) side effects concerning (b) recent pharmacological mechanisms, (c) therapy benefits, and (d) the particularities of the COVID-19 pandemic.

DATA SOURCES

a search was performed in two databases (PubMed and Web of Science) using the specific keywords "clozapine" and "schizophrenia", "side effects", "agranulocytosis", "TRS", or "bipolar affective disorder (BAF)" for the last ten years.

STUDY ELIGIBILITY CRITERIA

clinical trials on adults with acute symptoms of schizophrenia or related disorders.

RESULTS

we selected 37 studies, randomized controlled trials (RCTs), and clinical case series (CCS), centered on six main topics in the search area: (a) CLZ in schizophrenia, (b) CLZ in bipolar disorder, (c) side effects during the clozapine therapy, (d) CLZ in pregnancy, (e) CLZ in early-onset schizophrenia, and (f) CLZ therapy and COVID-19 infection.

LIMITATIONS

we considered RCTs and CCS from two databases, limited to the search topics. Conclusions and implications of key findings: (a) clozapine doses should be personalized for each patient based on pharmacogenetics testing when available; the genetic vulnerability postulates predictors of adverse reactions' severity; patients with a lower genetic risk could have less frequent hematological monitoring; (b) a CLZ-associated risk of pulmonary embolism imposes prophylactic measures for venous thromboembolism; (c) convulsive episodes are not an indication for stopping treatment; the plasma concentration of clozapine is a better side effect predictor than the dosage; (d) COVID-19 infection may enhance clozapine toxicity, generating an increased risk of pneumonia. Therapy must be continued with the proper monitoring of the white blood count, and the clozapine dose decreased by half until three days after the fever breaks; psychiatrists and healthcare providers must act together.

Identification of risk factors and metabolic monitoring practices in patients on antipsychotic drugs in South India

The objectives of this study were to identify the risk factors for metabolic syndrome in patients on antipsychotics and to compare the frequency of metabolic monitoring with evidence-based guidelines. We conducted a retrospective cohort study in a tertiary care health institution of South India. The study included patients with schizophrenia, bipolar disorder, and schizoaffective disorders prescribed with antipsychotic drugs. Data was collected from the medical records department. American Diabetic Association/American Psychiatric Association (ADA/APA) guidelines were used as a reference standard to assess the monitoring for metabolic parameters. Diagnosis of metabolic syndrome was done according to the National Cholesterol Education Program-Adult Treatment Panel III (NCEP-ATP III) guidelines. Risk factors for metabolic syndrome and frequency of metabolic monitoring were analyzed. A total of 668 patients were included for clinical audit. About 16.5 % of the patients were diagnosed with metabolic syndrome. Age >50 years (Odds Ratio (OR) 2.00; p value <0.001) and duration of antipsychotic treatment>5 years (OR 1.55; p value< 0.05) were recognized as the independent risk factors for metabolic syndrome using multiple logistic regression. Blood pressure (BP) and fasting blood sugar (FBS) levels were documented in 99.7 % and 47 % of cases at baseline respectively, however, subsequent annual data on BP and FBS monitoring was reduced to 72.7 % and 46 % respectively. Weight was documented in 60 % of the cases at baseline, whereas the subsequent data on four times the annual assessment of weight was reduced to 9.8 %. The extent of documentation of metabolic monitoring parameters was inadequate.

Evaluation of a general practitioner-led cardiometabolic clinic: Physical health profile and treatment outcomes for clients on clozapine

The present study is a review of a cardiometabolic clinic for consumers taking clozapine. This clinic was recently established and co-located with the clozapine clinic at a regional hospital in New South Wales, Australia, to enhance engagement and improve the physical health outcomes of consumers taking antipsychotic medication. A descriptive analysis of clients' (n = 73) information collected during routine care for the first 6 months of the clinic's operation, from January 2016 to July 2016, was conducted. First-visit data were analysed to establish a client profile, consisting of weight, height, blood pressure, pulse, a range of blood measurements, smoking status, alcohol consumption, and eating and exercise habits. Data collected for clients who had three or more visits with the general practitioner (n = 40) were analysed separately for outcomes. Two case studies are used to depict the service received and client profile. At the first appointment, the majority of clients had metabolic syndrome that was mostly left untreated; many of these clients were commenced on metformin. The outcomes are positive, and show that the majority of clients lost weight (82.5%) and had a reduction in body mass index (84.6%); nearly half (44.4%) had a reduction in waist circumference. The majority of clients self-reported increased physical activity (72.5%, n = 29) and positive dietary changes (77.5%, n = 31) since their first appointment. The model trialled by the cardiometabolic clinic integrated a specialist mental health and primary care service, and demonstrates success in engaging clients with severe mental illness in physical health care. Co-location is conceptualized as critical for positive patient outcomes and high levels of engagement.

Who is responsible for metabolic screening for mental health clients taking antipsychotic medications?

Metabolic syndrome is common in mental health consumer populations, and is linked to cardiovascular disease, stroke and diabetes. Metabolic screening is a way of recognising consumers who are at risk of developing metabolic syndrome but internationally screening rates remain low. A retrospective audit was completed at one Australian public mental health service on the case files of 100 randomly selected consumers to determine nurses level of compliance with metabolic screening policies over a 12 month period. Consumers included in the review were prescribed antipsychotic medications for at least 12 months and had their care in the community coordinated by mental health nurses. Data were entered into an Excel spreadsheet for analysis. Low levels of metabolic screening were identified and these levels decreased over the 12 months under review. No consumers had metabolic screening that recorded all parameters at three monthly intervals over the 12 month period. Only one consumer had every metabolic parameter recorded on the physical health screen tool at baseline assessment. The findings demonstrated that while there is increased awareness of co-morbid physical health issues in this consumer population, the translation of guidelines and policy directives to clinical practice to address this disparity remains low. Improving physical health outcomes is the responsibility of all health professionals, particularly doctors who prescribe and nurses who administer antipsychotic medications regularly to mental health consumers. Moreover, nurses are well placed to demonstrate leadership in reducing the rate of metabolic syndrome through the delivery of holistic care that includes effective screening programs.

Monitoring of Metabolic Adverse Effects Associated With Atypical Antipsychotics Use in an Outpatient Psychiatric Clinic

BACKGROUND

Atypical antipsychotics are associated with metabolic complications that contribute to a higher risk of cardiovascular disease. Current evidence reveal suboptimal adherence to the complex and variable official recommendations on metabolic monitoring in the corresponding patient population. A study evaluating metabolic monitoring at guideline-recommended intervals may help identify areas for intervention.

OBJECTIVE

Describe the frequency of monitoring metabolic adverse effects in patients receiving atypical antipsychotics in an outpatient psychiatric clinic with respect to the specific guideline-recommended intervals.

METHODS

A retrospective chart review was conducted in the outpatient psychiatric clinic. The primary outcome measure was the percentage of patients monitored for metabolic parameters at the current guideline-recommended intervals. The secondary end points were the percentage of patients with documented primary care physician, untreated metabolic comorbidities, and treated metabolic comorbidities by disease state.

RESULTS

The most assessed parameters were family history (98%), blood pressure (81%), and body mass index/body weight (83%) at the baseline interval. The least assessed parameters were lipids (14%) at the 12-week interval and waist circumference (0%) at any interval.

CONCLUSION

Interventions are needed to encourage higher compliance with current recommendations. The complexity of the recommendations is the most likely reason for the suboptimal compliance.

Time-dependent changes and potential mechanisms of glucose-lipid metabolic disorders associated with chronic clozapine or olanzapine treatment in rats

Chronic treatment with second-generation antipsychotic drugs (SGAs) has been associated with an increased risk of metabolic syndrome. To evaluate the longitudinal changes in glucose-lipid homeostasis after SGA use, we studied the time-dependent effects of olanzapine (OLZ) (3 mg/kg, b.i.d.) or clozapine (CLZ) (20 mg/kg, b.i.d.) treatment on metabolic profiles for 9 weeks in rats. Although only OLZ significantly increased body weight in rats, both OLZ and CLZ elevated blood lipid levels. Chronic OLZ treatment induced significant weight gain leading to a higher fasting insulin level and impaired glucose tolerance, whereas CLZ lowered fasting insulin levels and impaired glucose tolerance independent of weight gain. Treatment with both drugs deranged AKT/GSK phosphorylation and up-regulated muscarinic M3 receptors in the rats’ livers. Consistent with an elevation in lipid levels, both OLZ and CLZ significantly increased the protein levels of nuclear sterol regulatory element-binding proteins (SREBPs) in the liver, which was associated with improvement in hepatic histamine H1R. However, enhanced carbohydrate response element binding protein (ChREBP) signalling was observed in only CLZ-treated rats. These results suggest that SGA-induced glucose-lipid metabolic disturbances could be independent of weight gain, possibly through activation of SREBP/ChREBP in the liver.

Metabolic monitoring in children 5 years of age and younger prescribed second-generation antipsychotic medications

INTRODUCTION

The objective of this article was to identify the rates of patients ≤5 years of age who received recommended monitoring before and after second-generation antipsychotic (SGA) initiation and had an SGA metabolic adverse effect (MAE).

METHODS

This was a retrospective cohort analysis conducted at Kaiser Permanente Colorado, an integrated health care delivery system, between January 1, 2002, and June 30, 2011. Commercially insured patients ≤5 years of age newly initiated on an SGA were included. Patients were followed for up to 3 years. Metabolic monitoring included lipid profile, blood glucose, blood pressure, and weight measurements. Patient characteristics and outcomes were described using descriptive statistics.

RESULTS

A total of 40 patients were included. Overall, 2 (5.0%) patients received all recommended baseline monitoring, and no (0.0%) patients received all recommended follow-up monitoring. Weight monitoring was completed most frequently with rates of completion of 57.5%, 95.0%, 85.0%, and 76.5% at baseline and years 1, 2, and 3, respectively. At least 1 MAE was identified in 14/40 (35.0%), 5/28 (17.9%), and 2/17 (11.8%) patients during years 1, 2, and 3, respectively. The most frequent MAE identified was weight gain. Among patients identified with at least 1 MAE, 4/14 (28.6%), 2/5 (40.0%), and 2/2 (100%) received a behavioral intervention during years 1, 2, and 3, respectively.

DISCUSSION

Overall, baseline and follow-up metabolic monitoring were poor. Future studies should focus on examining barriers to monitoring in order to improve health care quality.

Establishing a physical health monitoring service for patients on depot antipsychotic medication

INTRODUCTION

Patients with major mental illness are recognised to be at risk of premature death for a multitude of reasons. This initiative aimed to improve the physical health monitoring of patients prescribed depot antipsychotic medication in a catchment area of ~36 000 in Ireland.

OBJECTIVES

International best practice recommends monitoring of blood tests, physical parameters such as weight, BMI, waist circumference and blood pressure, and side effects of patients prescribed antipsychotic medication. A clinic was established to target these interventions.

METHODS

A cohort of patients receiving antipsychotics in long-acting injectable form was chosen. A twice-yearly, multidisciplinary health monitoring clinic was established. Evaluation involved an audit of medical records which measured the proportion of those attending the clinic who had blood test monitoring and physical parameters recorded.

RESULTS

Before the clinic's implementation, 30% of patients had evidence of some blood test monitoring, 9% had evidence of complete blood testing and one patient had evidence of physical health parameters having been recorded. One year after the implementation 78% of patients had evidence of some blood test monitoring, 61% had evidence of full blood test monitoring and 100% had evidence of physical parameters recorded.

CONCLUSIONS

The clinic was positively received by patients, and led to improved teamwork. Recommendations include organising concurrent psychiatric and phlebotomy clinics so that patients may avail of psychiatric review and blood testing at a single appointment. As a result of the increased focus on physical health monitoring, a similar project is planned to target all patients prescribed antipsychotics.

Atypical antipsychotics: A review on the prevalence, monitoring, and management of their metabolic and cardiovascular side effects

Introduction

Excessive weight gain, glucose intolerance, and dyslipidemia are well-known physical side effects of the metabolic syndrome commonly associated with atypical antipsychotic (AAP) treatment. We review these side effects of AAPs and their monitoring and management strategies.

Methods

A literature search was conducted to identify articles published on the prevalence, monitoring, and management of cardiometabolic side effects of AAPs.

Results

Comparative risk of AAPs on weight gain, hyperlipidemia, glucose intolerance, and QT interval corrected for heart rate prolongation varies across the AAPs currently available. Likewise, pharmacologic and nonpharmacologic options investigated for management of these side effects, and monitoring those at appropriate intervals, differ based on the clinical condition and risk factors identified.

Discussion

Atypical antipsychotics in general have little difference among them in short-term efficacy; however, the prevalence of their physical side effects substantially distinguishes them. It is of importance that clinicians carefully select AAPs bearing in mind the presence of risk factors, initiating patients directly on AAPs with a low risk of cardiometabolic side effects, and monitoring and managing those side effects at appropriate intervals.

Use of an electronic metabolic monitoring form in a mental health service - a retrospective file audit

BACKGROUND

People with severe mental illness have poorer physical health, experience disparities in physical health care, and lead significantly shorter lives, compared to the general population. Routine metabolic monitoring is proposed as a method of identifying risk factors for metabolic abnormalities. Efforts to date suggest routine metabolic monitoring is both incomplete and ad-hoc, however. This present study reports on the recent implementation of a routine metabolic monitoring form at a mental health service in regional Australia.

METHODS

A retrospective file audit was undertaken on 721 consumers with electronic health records at the mental health service. Descriptive statistics were used to report the frequency of use of the metabolic monitoring form and the range of metabolic parameters that had been recorded.

RESULTS

Consumers had an average age of 41.4 years (SD = 14.6), over half were male (58.4%), and the most common psychiatric diagnosis was schizophrenia (42.3%). The metabolic monitoring forms of 36% of consumers contained data. Measurements were most commonly recorded for weight (87.4% of forms), height (85.4%), blood pressure (83.5%), and body mass index (73.6%). Data were less frequently recorded for lipids (cholesterol, 56.3%; low density lipoprotein, 48.7%; high density lipoprotein, 51.7%; triglycerides, 55.2%), liver function (alanine aminotransferase, 66.3%; aspartate aminotransferase, 65.5%; gamma-glutamyl transpeptidase, 64.8%), renal function (urea, 66.3%; creatinine, 65.9%), fasting blood glucose (60.2%), and waist circumference (54.4%).

CONCLUSIONS

The metabolic monitoring forms in consumer electronic health records are not utilised in a manner that maximises their potential. The extent of the missing data suggests that the metabolic health of most consumers may not have been adequately monitored. Addressing the possible reasons for the low completion rate has the potential to improve the provision of physical health care for people with mental illness.

Reducing excess mortality due to chronic disease in people with severe mental illness: meta-review of health interventions

BACKGROUND

People with severe mental illness (SMI) have high rates of chronic disease and premature death.

AIMS

To explore the strength of evidence for interventions to reduce risk of mortality in people with SMI.

METHOD

In a meta-review of 16 systematic reviews of controlled studies, mortality was the primary outcome (8 reviews). Physiological health measures (body mass index, weight, glucose levels, lipid profiles and blood pressure) were secondary outcomes (14 reviews).

RESULTS

Antipsychotic and antidepressant medications had some protective effect on mortality, subject to treatment adherence. Integrative community care programmes may reduce physical morbidity and excess deaths, but the effective ingredients are unknown. Interventions to improve unhealthy lifestyles and risky behaviours can improve risk factor profiles, but longer follow-up is needed. Preventive interventions and improved medical care for comorbid chronic disease may reduce excess mortality, but data are lacking.

CONCLUSIONS

Improved adherence to pharmacological and physical health management guidelines is indicated.

Involvement of oxidative stress and mitochondrial/lysosomal cross-talk in olanzapine cytotoxicity in freshly isolated rat hepatocytes

1. Olanzapine (OLZ) is a widely used atypical antipsychotic agent for the treatment of schizophrenia and other disorders. Serious hepatotoxicity and elevated liver enzymes have been reported in patients receiving OLZ. However, the cellular and molecular mechanisms of the OLZ hepatotoxicity are unknown. 2. In this study, the cytotoxic effect of OLZ on freshly isolated rat hepatocytes was assessed. Our results showed that the cytotoxicity of OLZ in hepatocytes is mediated by overproduction of reactive oxygen species (ROS), mitochondrial potential collapse, lysosomal membrane leakiness, GSH depletion and lipid peroxidation preceding cell lysis. All the aforementioned OLZ-induced cellular events were significantly (p < 0.05) prevented by ROS scavengers, antioxidants, endocytosis inhibitors and adenosine triphosphate generators. Also, the present results demonstrated that CYP450 is involved in OLZ-induced oxidative stress and cytotoxicity mechanism. 3. It is concluded that OLZ hepatotoxicity is associated with both mitochondrial/lysosomal involvement following the initiation of oxidative stress in hepatocytes.

Nursing Care for Lifestyle Behavioral Change

The purpose of this pilot study was to determine if metabolic risk factors can be stabilized or improved with weekly motivational interviewing/coaching and medical follow-up care focused on lifestyle behavioral change in individuals with serious mental illness. Individuals were followed for 18 weeks following discharge from an inpatient psychiatric service. All individuals were prescribed an antipsychotic medication and had at least two risk factors for metabolic syndrome. Weight, waist circumference, blood pressure, LDLs, triglycerides, and blood glucose levels were evaluated during the study period. In addition, each individual selected a lifestyle behavior to improve over the 18-week period. Weekly motivational interviewing, and staggered health promotion appointments were designed to keep individuals focused on health and behavior change. While some individuals showed improvement, others showed deterioration in the physiological markers for metabolic syndrome. Only a small number completed the 18-week study. The nature of current psychiatric care is focused on rapid stabilization and discharge; individuals with serious mental illness may have difficulty focusing on lifestyle behavioral change while transitioning to independent living following an acute exacerbation of mental illness.

Effects of switching from olanzapine to aripiprazole on the metabolic profiles of patients with schizophrenia and metabolic syndrome: a double-blind, randomized, open-label study

BACKGROUND

Patients with schizophrenia suffer high rates of metabolic derangements on some antipsychotic medications that predispose them to cardiovascular diseases. Keeping this fact in mind, we planned this open-label study to see the effect on various metabolic parameters after switching stable schizophrenia subjects, who had developed metabolic syndrome on olanzapine, to aripiprazole.

METHODS

Sixty-two patients with schizophrenia who were stable on olanzapine and were fulfilling modified National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP-III) criteria for the presence of metabolic syndrome were enrolled on the study. Patients were randomly assigned either to switch to aripiprazole or to stay on olanzapine, on a 1:1 basis. Cross-tapering over a period of 1 month was done while switching patients to aripiprazole. Laboratory assessment for metabolic parameters was done at baseline, 8 weeks, and 24 weeks after enrollment; efficacy assessment was done using the Positive and Negative Syndrome Scale (PANSS) at baseline and 24 weeks, the Clinical Global Impressions severity subscale (CGI-S) at baseline, and the Clinical Global Impressions improvement subscale (CGI-I) at 24 weeks.

RESULTS

All parameters of metabolic syndrome (waist circumference, blood pressure, triglyceride level, fasting blood glucose, and high-density lipoprotein cholesterol) kept deteriorating in the stay group, compared with a continuous improvement in the switch group over time. At the end of the study, 26 patients (100%) from the stay group and 15 patients (42.8%) from switch group met the modified NCEP ATP-III criteria for presence of metabolic syndrome (P<0.001). There were no statistically significant differences between groups in psychopathology changes as measured by the PANSS total score and CGI-I scores.

CONCLUSION

Clinically stable patients with schizophrenia who are taking olanzapine and who have evidence of metabolic syndrome can be successfully switched to aripiprazole, with improvement in various parameters of metabolic syndrome and without any significant change in efficacy measures.

Diagnosis and management of bipolar disorder in primary care: a DSM-5 update

This review discusses the diagnosis and detection of bipolar disorder in the primary care population with recent changes introduced by Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and the pharmacotherapy and psychosocial management of this psychiatric condition.

Paraoxonase 1 activity and lipid profile in schizophrenic patients

OBJECTIVE

This study aimed to investigate the variations of paraoxonase 1 (PON1) activity and lipid profile in patients with schizophrenia and the association of this activity with the sociodemographic, clinical and therapeutical characteristics of this population.

PATIENTS AND METHODS

Our cross-sectional study included 140 schizophrenic patients and 119 control subjects aged respectively 37.3±10.4 and 41.4±10 years. PON1 activity was determined using Konelab 30™ equipment (Thermo Electron Corporation). Plasma total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (c-HDL) and low-density lipoprotein cholesterol (c-LDL) concentrations were determined using Cobas 6000™ (Roche Diagnostics), apolipoproteins (ApoA1, ApoB) and lipoprotein (a) (Lp(a)) were determined using Integra 400 plus (Roche Diagnostics).

RESULTS

Compared to controls, patients had no significant decrease of PON1 activity and significantly lower ApoA1, c-HDL levels, and significantly higher levels of TG, ApoB, Lp(a) and TC/c-HDL and ApoB/ApoA1 ratios. Furthermore, PON1 activity was correlated with TG/c-HDL ratio. The lowest PON1 activity was noted in obese patients, in paranoid sub-type and in patients treated with combination of typical and atypical antipsychotics without significant difference. Moreover, it was associated with gender and cigarette smoking but not with alcohol consumption status.

CONCLUSION

Schizophrenic patients had a decrease in PON1 activity and perturbations in their lipid profiles that contribute to increase the risk of cardiovascular diseases. In addition, our results revealed that there was no association between the decrease of PON1 activity and any demographic or clinical characteristics. Therefore, such patients require specific care, particularly with regard to their lipid profile.

[Psychosis, cardiovascular risk and associated mortality: are we on the right track?]

Patients with psychotic disorders have a higher risk of early mortality. In addition to unnatural causes (accidents, suicide), death due to cardiovascular (CV) reasons is two to four times more prevalent in these patients than in the general population. This non-systematic review of MEDLINE aims to clarify the role of all the determining factors are involved. Psychotic disorders are related to unhealthy life habits such as smoking, poor diet and physical inactivity. Neuroleptic drugs have also been studied as triggers of obesity and metabolic syndrome. Therefore, psychotic patients seem predisposed to suffer from several of the «classic» CV risk factors. It is not surprising that their scores on the CV risk scales (Framingham, SCORE) are higher than the general population. We also found publications that showed poorer management of primary and secondary prevention of CV disease. In addition, some biochemical factors (plasma levels of cortisol, ACTH, homocysteine, PCR) may indicate a vulnerability in psychosis per se, as well as the findings on hyperglycemia and insulin resistance in psychotic "drug naive" patients. These "non-classical" factors could alter the validity of CV risk scales designed for the general population. Furthermore, antipsychotic drugs could control intrinsic factors of psychosis (they have shown to reduce global mortality), and their role in CV mortality is not clear.

Weight considerations in psychotropic drug prescribing and switching

Our review describes potential weight-altering effects of psychotropic medications (antipsychotics, antidepressants, anti-anxiety medications, mood stabilizers, sedative-hypnotics, medications for attention-deficit/hyperactivity disorder, and other psychotropic medications) and offers guidance on switching a medication if its weight-altering effect becomes problematic. For second-generation antipsychotics, the risk of weight gain is high with clozapine and olanzapine, low with amisulpride, aripiprazole, and ziprasidone, and medium with other second-generation antipsychotics. Switching from a high-risk antipsychotic to a low-risk antipsychotic usually mitigates or reverses weight gain. For second-generation antidepressants, there may be modest weight loss with bupropion and modest weight gain with mirtazapine and paroxetine. Other second-generation antidepressants are weight neutral but individual variations can occur. If significant change in weight occurs, switching to or adding a low-risk second-generation antidepressant should be considered. Mood stabilizers include lithium, valproate, carbamazepine, lamotrigine, oxcarbazepine, and most second-generation antipsychotics. Risk of weight gain is high with lithium and valproate and low with carbamazepine, lamotrigine, and oxcarbazepine. Given the complexity of bipolar disorder and its management, a switch of a mood stabilizer would be best done by a psychiatrist. Benzodiazepines, non-benzodiazepine and melatonergic hypnotics, doxepin, and trazodone are weight neutral. Diphenhydramine may cause weight-gain and can be switched to a weight-neutral hypnotic if needed. Stimulants can cause varying degrees of weight loss and switching to atomoxetine or bupropion may reverse this problem. If that fails, switching to clonidine or guanfacine can be tried. Switching must be evidence-based and take into account status of the condition being treated, efficacy, side effect profile, potential drug-drug interactions, required laboratory monitoring and cost of the drug(s) being considered, and patient's pregnancy status or plan. Non-pharmacological interventions both for mental disorders and overweight/obesity must be fully availed.

Monitoring metabolic side effects of atypical antipsychotics in people with an intellectual disability

This audit was undertaken prospectively to examine the compliance of a group of psychiatrists against guidelines they developed for monitoring the onset of metabolic syndrome, a potential side effect of antipsychotic medication, especially second generation or atypical ones. Phase 1 of the audit was to set standards by a questionnaire survey of participating psychiatrists against Consensus Guidelines on monitoring (American Diabetic Association, 2004), which they favoured. The results led to modifying these guidelines to develop minimum acceptable standards against which their practice was audited in Phase 2. Although in Phase 1, 77% of the psychiatrists felt that they did some baseline recording, Phase 2 finding did not corroborate this--only 53.8% of the notes recorded the assessment of risk factors in personal history; 37.5% risk factors in family history; 31.7% baseline weight and 26.4% baseline blood sugar/lipid levels. In Phase 1, 85% of the psychiatrists thought that they carried out some of the recommended monitoring; our audit found the records of weight monitoring in 69.7% of the notes and blood sugar and lipids monitoring in 44.2%. People with intellectual disability have a shorter life expectancy and increased risk of early death when compared with the general population. Obesity is already a health issue for people with intellectual disability. We discuss the challenges faced by psychiatrists in implementing their own minimum acceptable standards and suggest measures to reduce the metabolic risk associated with antipsychotic medication through increasing awareness--use of information leaflets in accessible format, health promotion and use of side effect checklists and improving access--by working collaboratively with general practitioners utilising the forum of annual health checks.

Outreach visits by clinical pharmacists improve screening for the metabolic syndrome among mentally ill patients

BACKGROUND

Patients suffering from schizophrenia and affective disorder have an increased risk of the metabolic syndrome (MeS); hence identification of patients developing MeS may help preventing morbidity and mortality.

AIMS

The aim of the study was to evaluate the effect of outreach visit by clinical pharmacists to support the implementation of screening of MeS at a psychiatric ward.

METHODS

The study was conducted at the psychiatric ward, Odense University Hospital. In 2008, clinical guidelines for systematic screening and prevention of metabolic risk were developed and implemented by passive dissemination (PD) followed by a period of active implementation (AI). AI contained outreach visits by clinical pharmacists on a weekly basis. Patients with affective disorder or schizophrenia were included. The study was designed as a before-and-after study, and electronic patient charts were used for assessment of adherence to the clinical guidelines.

RESULTS

In total, 205 patients were included in the study (93 patients in the PD group, 112 patients in the AI group). A significant improvement of the use of the screening sheet from 36% in the PD group to 81% in the AI group was found (p < 0.001). Consequently, the quality of the screening increased significantly resulting in 45% in the AI group being identified with MeS compared with 10% in the PD group (p < 0.001).

CONCLUSION

The outreach visits by clinical pharmacists significantly improved the use of the screening sheet and resulted in a significant increase in the proportion of patients identified with MeS (p < 0.001).

CLINICAL IMPLICATIONS

The increase in the use of a screening sheet for MeS among patients admitted to a psychiatric ward as a result of outreach visits by clinical pharmacist improve assessment for MeS. This may lead to better identification of patients suffering from MeS and hence increase the possibility of treating MeS and preventing morbidity and mortaligy.

Gaps in health care for the somatic health of outpatients with severe mental illness

The physical health of outpatients with severe mental illness (SMI) can be improved by changes in the health-care system. Analysis of current practice is necessary to develop these strategies. We compared the number of somatic health problems of outpatients with SMI with the frequency of consulting a general practitioner (GP). This was a cross-sectional study based on interviews, and records from the GP and the pharmacy. We checked whether Dutch community pharmacies had complete and correct information about the patients' medication. We observed that all patients (n = 118) had somatic problems in need of clinical attention. Patients who visited their GP less than once a year (35%, n = 42), had a mean of 2.8 somatic health problems. This was less than patients who consulted their GP more than once a year (P ≤ 0.01). In 37% of cases, the pharmacy did not have adequate information on the drug use. Many patients with SMI seemed to have insufficient contact with their GP for their somatic health problems. Insufficient information about the patients' medication suggested that the pharmacist and GP should increase exchange of information. Mental health nurses can take a lead in coordinating the care to improve somatic health for their patients.

The role of hypothalamic H1 receptor antagonism in antipsychotic-induced weight gain

Treatment with second generation antipsychotics (SGAs), notably olanzapine and clozapine, causes severe obesity side effects. Antagonism of histamine H1 receptors has been identified as a main cause of SGA-induced obesity, but the molecular mechanisms associated with this antagonism in different stages of SGA-induced weight gain remain unclear. This review aims to explore the potential role of hypothalamic histamine H1 receptors in different stages of SGA-induced weight gain/obesity and the molecular pathways related to SGA-induced antagonism of these receptors. Initial data have demonstrated the importance of hypothalamic H1 receptors in both short- and long-term SGA-induced obesity. Blocking hypothalamic H1 receptors by SGAs activates AMP-activated protein kinase (AMPK), a well-known feeding regulator. During short-term treatment, hypothalamic H1 receptor antagonism by SGAs may activate the AMPK-carnitine palmitoyltransferase 1 signaling to rapidly increase caloric intake and result in weight gain. During long-term SGA treatment, hypothalamic H1 receptor antagonism can reduce thermogenesis, possibly by inhibiting the sympathetic outflows to the brainstem rostral raphe pallidus and rostral ventrolateral medulla, therefore decreasing brown adipose tissue thermogenesis. Additionally, blocking of hypothalamic H1 receptors by SGAs may also contribute to fat accumulation by decreasing lipolysis but increasing lipogenesis in white adipose tissue. In summary, antagonism of hypothalamic H1 receptors by SGAs may time-dependently affect the hypothalamus-brainstem circuits to cause weight gain by stimulating appetite and fat accumulation but reducing energy expenditure. The H1 receptor and its downstream signaling molecules could be valuable targets for the design of new compounds for treating SGA-induced weight gain/obesity.

[Effectiveness of a joint project between primary care and mental health to improve the recording of cardiovascular risk factors in patients with psychosis]

Objetivo

Evaluar la efectividad de una intervención conjunta entre niveles asistenciales, atención primaria (AP) y salud mental (SM), en pacientes con psicosis, para mejorar la información de los factores de riesgo cardiovascular (FRCV) en la historia clínica (HC).

Diseño

Estudio multicéntrico de intervención antes-después.

Emplazamiento

Participan 7 centros de AP y 2 de SM, en Barcelona.

Participantes

Se incluyeron los pacientes con psicosis asignados a los equipos de AP, y confirmados por estos, entre 18-65 años (n = 690).

Intervención

Sesiones clínicas compartidas, para elaborar y utilizar un protocolo de colaboración entre AP-SM.

Medidas principales

Variables: sexo, edad, número de citas por centro/año, registro en HC de: hábito tabáquico, presión arterial, índice masa corporal (IMC), colesterol total, colesterol HDL, triglicéridos, glucosa, perímetro abdominal, RCV. Análisis: comparación de registros de FRCV, mediante el test de Cochran (datos apareados). Cálculo de prevalencia de FRCV, según los criterios definitorios de síndrome metabólico y criterios incluidos en el protocolo.

Resultados

Edad media 42,3 (DE: 11,4), hombres 67%. Todos los FRCV han presentado un aumento del registro tras la intervención. Los FRCV que han aumentado más han sido: parámetros analíticos y perímetro abdominal. El porcentaje de pacientes con niveles alterados en los criterios de síndrome metabólico supera el 35%. Los criterios para derivar al equipo de AP identifican, en el 2010, 51,9% obesos, 23,9% hipertensos, 20,4% hipercolesterolémicos y 11,6% diabéticos.

Conclusiones

Mejora del registro de FRCV. Elevado porcentaje de pacientes que requieren intervención de los profesionales de AP debido a los FRCV.

Prevalence of metabolic syndrome and its association with depression in patients with schizophrenia

PURPOSE

To identify the point prevalence of metabolic syndrome in patients with schizophrenia and to evaluate the association between depressive symptoms and metabolic syndrome in patients with schizophrenia.

PATIENTS AND METHODS

Metabolic syndrome was assessed based on an updated definition derived from the modified National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) and the International Diabetes Federation criteria. The 17-item Hamilton Depression Rating Scale (HDRS-17) was used to measure depressive symptoms in 80 patients with schizophrenia. Odds ratios and 95% confidence intervals were calculated using logistic regression for the association between each depressive symptom and metabolic syndrome.

RESULTS

The point prevalence rates of metabolic syndrome according to the modified NCEP-ATP III and International Diabetes Federation criteria were 37% and 35%, respectively. The risk of having metabolic syndrome significantly increased in those who were widowed or separated, or had longer duration of illness. Central obesity was the metabolic feature with the highest odds ratios for metabolic syndrome at 19.3. Three out of 17 items of HDRS subscales were found to be significantly associated with metabolic syndrome, including depressed mood, middle insomnia, and retardation with the odds ratios of 3.0, 3.4, and 3.6, respectively.

CONCLUSION

This study showed that the prevalence of metabolic syndrome in patients with schizophrenia was higher than the overall rate but was slightly lower than in the general population in the USA. Central obesity, measured by waist circumference, was found to be highly correlated with metabolic syndrome. Depressed mood, middle insomnia, and retardation were significantly associated with metabolic syndrome in patients with schizophrenia. Waist circumference and screening for depression should be done at the clinics during patient follow-up.

Weight gain and glucose dysregulation with second-generation antipsychotics and antidepressants: a review for primary care physicians

Second-generation antipsychotics (SGAPs) and second-generation antidepressants (SGADs) have multiple US Food and Drug Administration-approved indications and are frequently prescribed by primary care physicians. We review the relative potential of these drugs to cause weight gain and glucose dysregulation, and offer clinical guidance to minimize and manage this risk. Among SGAPs, clozapine and olanzapine have a high risk for causing weight gain and glucose dysregulation; iloperidone, paliperidone, quetiapine, and risperidone have a medium risk; and aripiprazole, asenapine, lurasidone, and ziprasidone have a low risk. Young, drug-naïve patients are particularly vulnerable to weight gain associated with SGAPs. With the exception of clozapine, SGAPs have modest differences in their efficacy; however, their side effect profiles may influence selection. Using SGAPs with high metabolic liability conservatively and limiting their off-label use are important means to minimize risk. Patients should be screened before initiating any SGAP (or any antipsychotic medication) and monitored subsequently following standard guidelines, such as those provided by the American Diabetes Association. Healthy lifestyle counseling should be offered to all patients. Patients showing evidence of significant weight gain should be switched to an SGAP with a lower metabolic liability. Metformin may have some utility in young patients with limited exposure to antipsychotic drugs if lifestyle interventions fail and switching the SGAP is not an option. This option should be tried sooner than later for the best possible result. For SGADs, paroxetine and mirtazapine are associated with weight gain, and bupropion may cause modest weight loss. Other SGADs are mostly weight neutral, but individual variations may occur. Depression is associated with weight change and is a risk factor for glucose dysregulation. Treatment of depression improves glucose metabolism. We recommend that all patients taking SGADs be screened using anthropometric measures and metabolic assessment at baseline. Monitoring should be guided individually based on weight gain and other risk factors.

Efficacy and metabolic influence of paliperidone ER, aripiprazole and ziprasidone to patients with first-episode schizophrenia through 52 weeks follow-up in China

BACKGROUND

There are no direct comparisons of paliperidone extended-release (ER), aripiprazole and ziprasidone in efficacy and metabolic influence in patients with first-episode schizophrenia.

OBJECTIVE

The present study examined the efficacy and metabolic influence of paliperidone ER, aripiprazole and ziprasidone in patients with first-episode schizophrenia in China.

METHODS

Subjects were recruited from outpatient and 254 patients entered the trial. These patients received treatment randomly with paliperidone ER, aripiprazole and ziprasidone and were assessed at baseline, 13, 26 and 52 weeks, respectively with Positive and Negative Syndrome Scale (PANSS), 7-item Clinical Global Impressions-Severity (CGI-S), anthropometric (weight, body mass index and waist circumference) and metabolic (fasting blood glucose, HbA1c, cholesterol, high density lipoproteins (HDL), low density lipoproteins and triglycerides) measures.

RESULTS

A total of 203 patients completed the trial. Paliperidone group had significant greater reduction in PANSS than aripiprazole group and ziprasidone group from 13 weeks, although the a reduction in PANSS of each group was more than 20%. There was no difference in CGI-S among the three groups, and all three groups had a significant reduction from baseline in CGI-S. Aripiprazole group increased in weight and body mass index despite no statistical change in waist circumference. Other two groups showed no changes in anthropometric measure. At the end of the study, two glucose metabolic indices (fasting blood glucose and HbA1c) of aripiprazole group were significantly higher than that of baseline. In lipid metabolism, aripiprazole group reduced triglycerides significantly and had no changes in other indices. Paliperidone group reduced HDL and increased triglycerides despite no changes in glucose metabolism. Ziprasidone group also had no significant changes in glucose metabolism, but reduced cholesterol, low density lipoproteins and increased HDL. Furthermore, 22 subjects in three groups reached the diagnostic criteria of metabolic syndrome.

CONCLUSIONS

Paliperidone ER, aripiprazole and ziprasidone are effective in treating first-episode schizophrenia, and the ranking of efficacy from high to low is paliperidone ER > aripiprazole > ziprasidone. Paliperidone ER can impair lipid metabolism potentially but had no influence on glucose metabolism. Aripiprazole can damage glucose metabolism and has little influence on lipid metabolism. Ziprasidone is considered an atypical antipsychotic with no evidence of harm to glucose and lipid metabolism.

Psychotropic drug-induced weight gain and other metabolic complications in a Swiss psychiatric population

PURPOSE

To describe the weight gain-related side-effects of psychotropic drugs and their consequences on metabolic complications (hypercholesterolemia, obesity) in a Swiss cohort of psychiatric patients.

METHOD

This cross-sectional observational study was performed in an out-patient psychiatric division with patients having received for more than 3 months the following drugs: clozapine, olanzapine, quetiapine, risperidone, lithium, and/or valproate. Clinical measures and lifestyle information (smoking behaviour, physical activity) were recorded.

RESULTS

196 inclusions were completed. Weight gain (≥10% of initial weight) following drug treatment was reported in 47% of these patients. Prevalence of obesity (BMI ≥ 30), hypercholesterolemia (≥6.2 mmol/L) and low HDL-cholesterol (<1.0 mmol/L in men, <1.3 mmol/L in women) were present in 38%, 21%, and 27% of patients, respectively. A higher standardised dose, an increase of appetite following medication introduction, the type of medication (clozapine or olanzapine > quetiapine or risperidone > lithium or valproate), and the gender were shown to be significantly associated with evolution of BMI.

CONCLUSION

High prevalence of obesity and hypercholesterolemia was found in an out-patient psychiatric population and confirms drug-induced weight gain complications during long-term treatment. The results support the recently published recommendations of monitoring of metabolic side-effects during treatment with atypical antipsychotics. Moreover, the weight gain predictors found in the present study could help to highlight patients with special health care management requirement.

Antipsychotic medication prescription patterns in adults with developmental disabilities who have experienced psychiatric crisis

Antipsychotic medication rates are high in adults with developmental disability. This study considered rates of antipsychotic use in 743 adults with developmental disability who had experienced a psychiatric crisis. Nearly half (49%) of these adults were prescribed antipsychotics. Polypharmacy was common with 22% of those prescribed antipsychotics taking 2 or more antipsychotics at once. Predictors of multiple antipsychotic use included gender, residence, psychiatric diagnosis and previous hospitalizations. Implications of medication prescriptions to this vulnerable population are discussed.

Efficacy of lifestyle interventions in physical health management of patients with severe mental illness

Awareness of the importance of maintaining physical health for patients with severe mental illnesses has recently been on the increase. Although there are several elements contributing to poor physical health among these patients as compared with the general population, risk factors for cardiovascular disease such as smoking, diabetes mellitus, hypertension, dyslipidemia, metabolic syndrome, and obesity are of particular significance due to their relationship with mortality and morbidity. These patients present higher vulnerability to cardiovascular risk factors based on several issues, such as genetic predisposition to certain pathologies, poor eating habits and sedentary lifestyles, high proportions of smokers and drug abusers, less access to regular health care services, and potential adverse events during pharmacological treatment. Nevertheless, there is ample scientific evidence supporting the benefits of lifestyle interventions based on diet and exercise designed to minimize and reduce the negative impact of these risk factors on the physical health of patients with severe mental illnesses.

Guidelines for screening and monitoring of cardiometabolic risk in schizophrenia: systematic evaluation

BACKGROUND

Metabolic and cardiovascular health problems have become a major focus for clinical care and research in schizophrenia.

AIMS

To evaluate the content and quality of screening guidelines for cardiovascular risk in schizophrenia.

METHOD

Systematic review and quality assessment of guidelines/recommendations for cardiovascular risk in people with schizophrenia published between 2000 and 2010, using the Appraisal of Guidelines for Research and Evaluation (AGREE).

RESULTS

The AGREE domain scores varied between the 18 identified guidelines. Most guidelines scored best on the domains 'scope and purpose' and 'clarity of presentation'. The domain 'rigour of development' was problematic in most guidelines, and the domains 'stakeholder involvement' and 'editorial independence' scored the lowest. The following measurements were recommended (in order of frequency): fasting glucose, body mass index, fasting triglycerides, fasting cholesterol, waist, high-density lipoprotein/low-density lipoprotein, blood pressure and symptoms of diabetes. In terms of interventions, most guidelines recommended advice on physical activity, diet, psychoeducation of the patient, treatment of lipid abnormalities, treatment of diabetes, referral for advice and treatment, psychoeducation of the family and smoking cessation advice. Compared across all domains and content, four European guidelines could be recommended.

CONCLUSIONS

Four of the evaluated guidelines are of good quality and should guide clinicians' screening and monitoring practices. Future guideline development could be improved by increasing its rigour and assuring user and patient involvement.

Unmet treatment needs in schizophrenia patients: is asenapine a potential therapeutic option?

Adverse metabolic events, such as increased adiposity, hyperglycemia, diabetes mellitus and dyslipidemia, have been associated with treatment using atypical antipsychotic medications. However, the complexity of some of the reports on this problem and marketing efforts in this area may make it difficult for psychiatrists to remain fully and accurately informed about the metabolic complications of atypical antipsychotic therapy. Little is currently known about how psychiatrists view what they have read or heard, how they perceive the available information and how this affects their management of patients with schizophrenia. A number of studies have demonstrated that nonadherence to the medication regimen in schizophrenia is associated with poor symptomatic outcome, increased risk of relapse, more frequent use of compulsory treatment and increased risk of suicide and severe self-harm. Suicide is a major cause of death among schizophrenic patients, and their attitude toward medication can make the difference between a proper therapeutic regimen that protects patients from suicide risk versus discontinuation of treatments that are associated with disabling symptoms, some of which are risk factors for suicide. We review the characteristics of a new drug, asenapine, that may improve adherence in patients as a result of a distinctive receptor profile that may be associated with fewer side effects than other second-generation antipsychotic drugs.