Belgian consensus on metabolic problems associated with atypical antipsychotics

Roles of Hospital Type and Community Setting in Rate of Screening for Metabolic Disorders Among Psychiatric Patients

OBJECTIVE

Globally, rates of metabolic disorders continue to climb, leading to significant disease morbidity and mortality. Individuals with mental illness are particularly prone to obesity, and some medications, such as antipsychotics, may increase the risk for metabolic disorders. The American Psychiatric Association and the American Diabetes Association recommend that patients taking antipsychotic medications receive regular screening for metabolic disorders. This study examined hospital and community factors associated with screening these patients for such disorders.

METHODS

The authors combined Centers for Medicare and Medicaid Services (CMS) hospital-level data on screening for metabolic disorders among patients with an antipsychotic prescription with community data, including urbanization classification, social vulnerability, and metabolic disease presence and risk factors. Data were merged at the county level and evaluated with a nonparametric multivariate regression model.

RESULTS

The CMS data set included 1,497 U.S. hospitals with data on screening for metabolic disorders among patients with an antipsychotic prescription. Screening rates varied by type of facility; acute care and critical access hospitals outperformed freestanding psychiatric facilities (p<0.001). No other variables examined in the multivariate model were associated with screening for metabolic disorders.

CONCLUSIONS

Despite common resource limitations, screening for metabolic disorders may be driven more by logistics and less by time, finances, or a community's primary care network. Identifying the specific logistical challenges of freestanding psychiatric facilities could aid in the development of targeted interventions to improve the rates of screening for and treatment of not only metabolic disorders but also other common comorbid conditions.

Impact of institutional quality improvement initiatives on metabolic monitoring in mental disorder in patients treated with antipsychotics: A meta-analysis of intervention studies

Background

Compliance with guidelines regarding monitoring of metabolic adverse effects induced by antipsychotics has been consistently low. We characterised and evaluated the quality of institutional quality improvement (QI) interventions designed to address disparities between guidelines and real-world practices. Furthermore, we assessed the impact of these interventions on the screening and management of metabolic risks for inpatients receiving treatment with antipsychotic medications.

Methods

We conducted a meta-analysis of institutional QI intervention studies aimed at improving antipsychotic-associated metabolic risk monitoring in hospitalised mental disease patients. Relevant studies were identified through searches conducted in the Embase and PubMed databases, as well as by reviewing previous reviews and meta-analyses. Quantitative analyses were performed, calculating odds ratios (ORs) and 95% confidence intervals (CIs) to assess the impact of QI programmes on guideline adherence in clinical practice.

Results

We identified 12 intervention studies (n = 10 128 and n = 2667 patients in the pre-and post-intervention groups, respectively) and included them in our meta-analysis. QI interventions demonstrated effectiveness in bridging the guideline-practice gap in monitoring antipsychotic-induced metabolic adverse effects, as supported by the ORs and 95% CIs for post-intervention monitoring of plasma glucose, lipids, and blood pressure (BP) vs the pre-intervention period being OR = 6.90 (95% CI = 1.51-31.48), OR = 5.39 (95% CI = 4.01-7.24), and OR = 4.81 (95% CI = 1.23-18.79), respectively. Only 33.3% (4/12) of studies reported screening rates for all four metabolic parameters (plasma glucose, lipids, weight/body mass index (BMI), and BP). The median rates for metabolic screening of plasma glucose, lipids, and BP increased from 51.0-80.0%, 28.7-66.7%, and 91.7-95.8%, respectively. Up to 66.7% (8/12) of intervention studies lacked follow-up measures to treat or manage identified risks in hospitalised psychiatric patients, such as patient referrals, prescription of medications, and switching of antipsychotics. The odds of monitoring weight/BMI and glucose were greatest when QI programmes involved the participation of multidisciplinary health care professionals and patients, yielding OR = 3.35 (95% CI = 2.45-4.59) and OR = 57.51 (95% CI = 24.11-137.21), respectively.

Conclusions

Institutional QI interventions were effective in enhancing monitoring practices in alignment with established guidelines for metabolic risk screening among hospitalised patients with mental disorders maintained on antipsychotic medications. Future institutional QI programmes should incorporate multidisciplinary strategies involving patient engagement and extend their focus beyond screening to incorporate follow-up risk management strategies once risks have been identified.

Registration

PROSPERO CRD42023452138.

Pharmacological interventions for prevention of weight gain in people with schizophrenia

BACKGROUND

Antipsychotic-induced weight gain is an extremely common problem in people with schizophrenia and is associated with increased morbidity and mortality. Adjunctive pharmacological interventions may be necessary to help manage antipsychotic-induced weight gain. This review splits and updates a previous Cochrane Review that focused on both pharmacological and behavioural approaches to this problem.

OBJECTIVES

To determine the effectiveness of pharmacological interventions for preventing antipsychotic-induced weight gain in people with schizophrenia.

SEARCH METHODS

The Cochrane Schizophrenia Information Specialist searched Cochrane Schizophrenia's Register of Trials on 10 February 2021. There are no language, date, document type, or publication status limitations for inclusion of records in the register.

SELECTION CRITERIA

We included all randomised controlled trials (RCTs) that examined any adjunctive pharmacological intervention for preventing weight gain in people with schizophrenia or schizophrenia-like illnesses who use antipsychotic medications.

DATA COLLECTION AND ANALYSIS

At least two review authors independently extracted data and assessed the quality of included studies. For continuous outcomes, we combined mean differences (MD) in endpoint and change data in the analysis. For dichotomous outcomes, we calculated risk ratios (RR). We assessed risk of bias for included studies and used GRADE to judge certainty of evidence and create summary of findings tables. The primary outcomes for this review were clinically important change in weight, clinically important change in body mass index (BMI), leaving the study early, compliance with treatment, and frequency of nausea. The included studies rarely reported these outcomes, so, post hoc, we added two new outcomes, average endpoint/change in weight and average endpoint/change in BMI.

MAIN RESULTS

Seventeen RCTs, with a total of 1388 participants, met the inclusion criteria for the review. Five studies investigated metformin, three topiramate, three H2 antagonists, three monoamine modulators, and one each investigated monoamine modulators plus betahistine, melatonin and samidorphan. The comparator in all studies was placebo or no treatment (i.e. standard care alone). We synthesised all studies in a quantitative meta-analysis. Most studies inadequately reported their methods of allocation concealment and blinding of participants and personnel. The resulting risk of bias and often small sample sizes limited the overall certainty of the evidence. Only one reboxetine study reported the primary outcome, number of participants with clinically important change in weight. Fewer people in the treatment condition experienced weight gains of more than 5% and more than 7% of their bodyweight than those in the placebo group (> 5% weight gain RR 0.27, 95% confidence interval (CI) 0.11 to 0.65; 1 study, 43 participants; > 7% weight gain RR 0.24, 95% CI 0.07 to 0.83; 1 study, 43 participants; very low-certainty evidence). No studies reported the primary outcomes, 'clinically important change in BMI', or 'compliance with treatment'. However, several studies reported 'average endpoint/change in body weight' or 'average endpoint/change in BMI'. Metformin may be effective in preventing weight gain (MD -4.03 kg, 95% CI -5.78 to -2.28; 4 studies, 131 participants; low-certainty evidence); and BMI increase (MD -1.63 kg/m2, 95% CI -2.96 to -0.29; 5 studies, 227 participants; low-certainty evidence). Other agents that may be slightly effective in preventing weight gain include H2 antagonists such as nizatidine, famotidine and ranitidine (MD -1.32 kg, 95% CI -2.09 to -0.56; 3 studies, 248 participants; low-certainty evidence) and monoamine modulators such as reboxetine and fluoxetine (weight: MD -1.89 kg, 95% CI -3.31 to -0.47; 3 studies, 103 participants; low-certainty evidence; BMI: MD -0.66 kg/m2, 95% CI -1.05 to -0.26; 3 studies, 103 participants; low-certainty evidence). Topiramate did not appear effective in preventing weight gain (MD -4.82 kg, 95% CI -9.99 to 0.35; 3 studies, 168 participants; very low-certainty evidence). For all agents, there was no difference between groups in terms of individuals leaving the study or reports of nausea. However, the results of these outcomes are uncertain given the very low-certainty evidence.

AUTHORS' CONCLUSIONS

There is low-certainty evidence to suggest that metformin may be effective in preventing weight gain. Interpretation of this result and those for other agents, is limited by the small number of studies, small sample size, and short study duration. In future, we need studies that are adequately powered and with longer treatment durations to further evaluate the efficacy and safety of interventions for managing weight gain.

Long-Term Metabolic Monitoring of Youths Treated with Second-Generation Antipsychotics 5 Years after Publication of the CAMESA Guidelines Are We Making Progress? Surveillance Métabolique à Long Terme des Jeunes Traités par Antipsychotiques de Deuxième Génération, Cinq ans Après la publication des Lignes Directrices Camesa: Faisons-Nous des Progrès?

OBJECTIVE

The potential metabolic adverse effects of second-generation antipsychotics (SGA) need to be monitored. The Canadian Alliance for Monitoring Effectiveness and Safety of Antipsychotics (CAMESA) offers guidelines for this purpose. We aimed to evaluate the long-term rates of youths receiving monitoring in mental health clinics and document the factors that may influence them.

METHOD

The charts of 180 patients (13.3 ± 3.1 years, 54.4% males) receiving SGA treatment for the first time between January 2016 and June 2018 were reviewed. Monitoring was divided into baseline and 1- to 6-month and 9- to 24-month periods. Population under study was stratified into children (4 to 12 years) and adolescents (13 to 18 years). Sociodemographic characteristics, psychiatric diagnosis and comorbidities, prescribed SGAs and comedications, anthropometric measures (AM), blood pressure (BP), blood tests (BT), electrocardiogram, and the psychiatrist's years of practice were collected. Cross tables were used to present the monitoring rates. Categories were compared by covariate analysis. Rates of patients monitored across categories were compared using Fisher exact test.

RESULTS

Monitoring rates for AM, BT, and BP were 55%, 47.8%, and 46.7% at baseline; 50%, 41.7%, and 45.2% at 1 to 6 months; and 47.2%, 41.5%, and 40.6% at 9 to 24 months, respectively. Higher monitoring rates were significantly associated with adolescent status (baseline, 1 to 6 months), a diagnosis of psychotic and/or affective disorder (baseline, 1 to 6 months, 9 to 24 months), having ≤1 psychiatric comorbidities (1 to 6 months), high SGA dose (baseline, 1 to 6 months), and clinician's experience (baseline, 9 to 24 months). Significantly lower monitoring rates were associated with the psychostimulant/atomoxetine comedication (baseline, 1 to 6 months, 9 to 24 months).

CONCLUSION

Five years after publication of the CAMESA guidelines, metabolic monitoring is conducted for less than half of patients. In our sample, age, diagnostic category, psychiatric comorbidities, SGA dose, clinician's experience, and comedications influenced the monitoring rates. Major progress still needs to be made before reaching a satisfactory level of monitoring.

Oral glucose tolerance tests in treated patients with schizophrenia

Objective

A recent consensus conference has proposed guidelines for the monitoring for diabetes in patients with schizophrenia and also identifies the need of long-term prospective studies.

Methods

A large scale prospective study on metabolic risks of antipsychotic medication is currently ongoing. At baseline, patients get a full laboratory screening, ECG and an oral glucose tolerance test (OGTT). Baseline data on 100 non-diabetic patients at study inclusion and stable on medication for at least 6 months are presented.

Results

Glucose abnormalities are found in 22% of patients at baseline. A monitoring protocol based only on fasting glucose would not have detected 63.6% of these patients with classifiable glucose abnormalities in our sample. Fasting insulin and measures for insulin resistance have a high predictive value for abnormalities late in the OGTT.

Conclusions

Already at baseline, metabolic problems are frequently present in patients with schizophrenia treated with antipsychotics. Adding assessment of fasting insulin in a monitoring protocol improves detection of glucose abnormalities late in an OGTT.

Let's get physical: improving the medical care of people with severe mental illness

There is clear evidence of increased medical comorbidity and related mortality in people with severe mental illness, despite numerous guidelines for managing medical conditions in this population. This article assesses inequalities in medical treatment and preventive healthcare received by psychiatric patients compared with the general population. It considers whether the medical care provided is adequate and whether published guidelines improve it. Mental health specialists, general practitioners and hospital specialists appear to deliver poorer than average medical care for this vulnerable population. Implementation of physical healthcare guidelines is incomplete and the guidelines must be matched with resources to address this deficit.

Royal Australian and New Zealand College of Psychiatrists expert consensus statement for the treatment, management and monitoring of the physical health of people with an enduring psychotic illness

OBJECTIVE

To use expert consensus to inform the development of policy and guidelines for the treatment, management and monitoring of the physical health of people with an enduring psychotic illness.

METHOD

The Delphi method was used. A systematic search of websites, books and journal articles was conducted to develop a 416-item survey containing strategies that health professionals should use to treat, manage and monitor the physical health of people with an enduring psychotic illness. Three panels of Australian experts (55 clinicians, 21 carers and 20 consumers) were recruited and independently rated the items over three rounds, with strategies reaching consensus on a priori-defined levels of importance written into the expert consensus statement.

RESULTS

The participation rate for the clinicians across all three rounds was 65%, with consumers and carers only completing one round due to high endorsement rates. Finally, 386 strategies were endorsed as essential or important by one or all panels. The endorsed strategies provided information on engagement and collaborative partnerships; clinical governance; risk factors, morbidity and mortality in people with enduring psychotic illness; assessment, including initial and follow-up assessments; barriers to care; strategies to improve care of people with enduring psychotic illness; education and training; treatment recommendations; medication side effects; and the role of health professionals.

CONCLUSION

The consensus statement is intended to be used by health professionals, people with an enduring psychotic illness and their families and carers. The next step needed is an implementation strategy by the Royal Australian and New Zealand College of Psychiatrists and other stakeholders.

Metabolic Disturbances, Side Effect Profile and Effectiveness of Clozapine in Adolescents

INTRODUCTION

Data on effect of clozapine on metabolic syndrome in adolescent patients with psychosis are limited. This study aimed to evaluate the prevalence and incidence of metabolic syndrome in children and adolescents with psychotic disorders prior to clozapine and while receiving clozapine. Secondary aims were to study the effectiveness and side effect profile of clozapine.

MATERIALS AND METHODS

Thirteen child and adolescent patients were evaluated at baseline, 3 months, and a follow-up beyond 6 months. Assessments were made for metabolic profile, effectiveness by positive and negative syndrome scale (PANSS), and side effects.

RESULTS

Prior to starting of clozapine, the prevalence of metabolic syndrome was 23%. After 3 months on clozapine, 38.5% (5/13) patients fulfilled criteria of metabolic syndrome and further on follow-up beyond 6 months (with last observation carried forward) 46.2% (6/13) had developed metabolic syndrome. There was a significant reduction in PANSS scores at 3 months and follow-up more so in those who developed metabolic syndrome at 3 months. Among the other side effects, hypersalivation was the most common side effect (100%) followed by sedation (69%).

CONCLUSION

Half the prevalence of metabolic syndrome in adolescents on clozapine can be attributed to other factors prior to starting of clozapine, and another half can be attributed to clozapine. Clozapine is effective in an adolescent population.

Metabolic issues in patients affected by schizophrenia: clinical characteristics and medical management

Patients affected by psychotic disorders are more likely to develop high rates of co-morbidities, such as obesity, type 2 diabetes, dyslipidemias, hypertension, metabolic syndrome, myocardial infarction, stroke etc., in the long-term. These morbidities have a significant impact on the life-expectancy of these patients. Patients with chronic psychoses show a 2–3-fold increased risk of death mostly from cardiovascular and metabolic diseases. Although there may be an independent link, between schizophrenia and metabolic conditions the cardio-metabolic risk is mostly related to an unhealthy lifestyle and the usage of antipsychotic agents (especially Second Generation Antipsychotics or atypical) even when these remain effective treatments in the management of major psychoses. Recently, many international organizations have developed screening and monitoring guidelines for the control of modifiable risk factors in order to reduce the rate of co-morbidity and mortality among patients affected by schizophrenia. This paper is a review of current knowledge about the metabolic issues of patients affected by schizophrenia and describes clinical characteristics and medical management strategies for such conditions.

Clinical management of comorbid diabetes and psychotic disorders

Individuals with psychotic disorders experience substantial health disparities with respect to diabetes, including increased risk of incident diabetes and of poor diabetes outcomes (eg, diabetes complications and mortality). Low-quality medical care for diabetes is a significant contributor to these poor health outcomes. A thoughtful approach to both diabetes pharmacotherapy and drug management for psychotic disorders is essential, irrespective of whether treatment is given by a psychiatrist, a primary care provider, or an endocrinologist. Exposure to drugs with high metabolic liability should be minimised, and both psychiatric providers and medical providers need to monitor patients to ensure that medical care for diabetes is adequate. Promising models of care management and team approaches to coordination and integration of care highlight the crucial need for communication and cooperation among medical and psychiatric providers to improve outcomes in these patients. Evidence-based programmes that promote weight loss or smoking cessation need to be more accessible for these patients, and should be available in all the settings where they access care.

Interventions for the metabolic syndrome in schizophrenia: a review

The metabolic syndrome (MetS) is an increasingly prevalent condition in people with schizophrenia. It remains highly prevalent in the general population in developed countries, but recently health promotion campaigns and greater awareness of the high associated mortality rates have resulted in improvements in the rates of cardiovascular risk factors. This is not the case for people with schizophrenia who continue to have more than twice the rates of MetS and significantly higher mortality rates than the general population. Various behavioural and pharmacological interventions have been used to improve conditions that are linked to MetS, mainly smoking and obesity. This review aims to provide an update of the latest knowledge about the behavioural, pharmacological and other interventions that might help to combat this life-threatening problem in people with schizophrenia.

Guideline concordant monitoring of metabolic risk in people treated with antipsychotic medication: systematic review and meta-analysis of screening practices

BACKGROUND

Despite increased cardiometabolic risk in individuals with mental illness taking antipsychotic medication, metabolic screening practices are often incomplete or inconsistent.

METHOD

We undertook a systematic search and a PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) meta-analysis of studies examining routine metabolic screening practices in those taking antipsychotics both for patients in psychiatric care before and following implementation of monitoring guidelines.

RESULTS

We identified 48 studies (n=290 534) conducted between 2000 and 2011 in five countries; 25 studies examined predominantly schizophrenia-spectrum disorder populations; 39 studies (n=218 940) examined routine monitoring prior to explicit guidelines; and nine studies (n=71 594) reported post-guideline monitoring. Across 39 studies, routine baseline screening was generally low and above 50% only for blood pressure [69.8%, 95% confidence interval (CI) 50.9-85.8] and triglycerides (59.9%, 95% CI 36.6-81.1). Cholesterol was measured in 41.5% (95% CI 18.0-67.3), glucose in 44.3% (95% CI 36.3-52.4) and weight in 47.9% (95% CI 32.4-63.7). Lipids and glycosylated haemoglobin (HbA1c) were monitored in less than 25%. Rates were similar for schizophrenia patients, in US and UK studies, for in-patients and out-patients. Monitoring was non-significantly higher in case-record versus database studies and in fasting samples. Following local/national guideline implementation, monitoring improved for weight (75.9%, CI 37.3-98.7), blood pressure (75.2%, 95% CI 45.6-95.5), glucose (56.1%, 95% CI 43.4-68.3) and lipids (28.9%, 95% CI 20.3-38.4). Direct head-to-head pre-post-guideline comparison showed a modest but significant (15.4%) increase in glucose testing (p=0.0045).

CONCLUSIONS

In routine clinical practice, metabolic monitoring is concerningly low in people prescribed antipsychotic medication. Although guidelines can increase monitoring, most patients still do not receive adequate testing.

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.

NDETEI DAVID, W. NEWCOMER JOHN, UWAKWE RICHARD, ASAI ITSUO, MÖLLER HANSJURGEN, GAUTAM SHIV, DETRAUX JOHAN, U. CORRELL CHRISTOPH. Physical illness in patients with severe mental disorders. II. Barriers to care, monitoring and treatment guidelines, plus recommendations at the system and individual level

Physical disorders are, compared to the general population, more prevalent in people with severe mental illness (SMI). Although this excess morbidity and mortality is largely due to modifiable lifestyle risk factors, the screening and assessment of physical health aspects remains poor, even in developed countries. Moreover, specific patient, provider, treatment and system factors act as barriers to the recognition and to the management of physical diseases in people with SMI. Psychiatrists can play a pivotal role in the improvement of the physical health of these patients by expanding their task from clinical psychiatric care to the monitoring and treatment of crucial physical parameters. At a system level, actions are not easy to realize, especially for developing countries. However, at an individual level, even simple and very basic monitoring and treatment actions, undertaken by the treating clinician, can already improve the problem of suboptimal medical care in this population. Adhering to monitoring and treatment guidelines will result in a substantial enhancement of physical health outcomes. Furthermore, psychiatrists can help educate and motivate people with SMI to address their suboptimal lifestyle, including smoking, unhealthy diet and lack of exercise. The adoption of the recommendations presented in this paper across health care systems throughout the world will contribute to a significant improvement in the medical and related psychiatric health outcomes of patients with SMI.

Physical health management in psychiatric settings

Severe mental disorders have a chronic course associated with a high risk for co-morbid somatic illnesses and premature mortality, but despite this increased risk, general health care needs in this population are often neglected. Over recent years, several groups have developed screening and monitoring guidelines for metabolic and cardiovascular risk assessment in patients treated with antipsychotics. The psychiatrist needs to be aware of the potential metabolic side-effects of antipsychotic medication and to include them in the risk/benefit assessment when choosing a specific antipsychotic. He should also be responsible for the implementation of the necessary screening assessments and referral for treatment of any physical illness. Multidisciplinary assessment of psychiatric and medical conditions is needed. The somatic treatments offered to people with severe and enduring mental illness should be at par with general health care in the non-psychiatrically ill population. In our University Centre, a structured and elaborate screening and monitoring protocol was introduced in late 2003. This paper describes the practical aspects of this monitoring protocol and the results obtained 4 years after its implementation.

Antipsychotic switching for people with schizophrenia who have neuroleptic-induced weight or metabolic problems

BACKGROUND

Weight gain is common for people with schizophrenia and this has serious implications for a patient's health and well being. Switching strategies have been recommended as a management option.

OBJECTIVES

To determine the effects of antipsychotic medication switching as a strategy for reducing or preventing weight gain and metabolic problems in people with schizophrenia.

SEARCH STRATEGY

We searched key databases and the Cochrane Schizophrenia Group's trials register (January 2005 and June 2007), reference sections within relevant papers and contacted the first author of each relevant study and other experts to collect further information.

SELECTION CRITERIA

All clinical randomised controlled trials comparing switching of antipsychotic medication as an intervention for antipsychotic induced weight gain and metabolic problems with continuation of medication and/or other weight loss treatments (pharmacological and non pharmacological) in people with schizophrenia or schizophrenia-like illnesses.

DATA COLLECTION AND ANALYSIS

Studies were reliably selected, quality assessed and data extracted. For dichotomous data we calculated risk ratio (RR) and their 95% confidence intervals (CI) on an intention-to-treat basis, based on a fixed-effect model. The primary outcome measures were weight loss, metabolic syndrome, relapse and general mental state.

MAIN RESULTS

We included four studies for the review with a total of 636 participants. All except one study had a duration of 26 weeks or less. There was a mean weight loss of 1.94 kg (2 RCT, n = 287, CI -3.9 to 0.08) when switched to aripiprazole or quetiapine from olanzapine. BMI also decreased when switched to quetiapine (1 RCT, n = 129, MD -0.52 CI -1.26 to 0.22) and aripiprazole (1 RCT, n = 173, RR 0.28 CI 0.13 to 0.57) from olanzapine.Fasting blood glucose showed a significant decrease when switched to aripiprazole or quetiapine from olanzapine. (2 RCT, MD -2.53 n = 280 CI -2.94 to -2.11). One RCT also showed a favourable lipid profile when switched to aripiprazole but these measures were reported as percentage changes, rather than means with standard deviation.People are less likely to leave the study early if they remain on olanzapine compared to switching to quetiapine or aripiprazole.There was no significant difference in outcomes of mental state, global state, and adverse events between groups which switched medications and those that remained on previous medication. Three different switching strategies were compared and no strategy was found to be superior to the others for outcomes of weight gain, mental state and global state.

AUTHORS' CONCLUSIONS

Evidence from this review suggests that switching antipsychotic medication to one with lesser potential for causing weight gain or metabolic problems could be an effective way to manage these side effects, but the data were weak due to the limited number of trials in this area and small sample sizes. Poor reporting of data also hindered using some trials and outcomes. There was no difference in mental state, global state and other treatment related adverse events between switching to another medication and continuing on the previous one. When the three switching strategies were compared none of them had an advantage over the others in their effects on the primary outcomes considered in this review. Better designed trials with adequate power would provide more convincing evidence for using medication switching as an intervention strategy.

Prevalence of metabolic syndrome among an Iranian cohort of inpatients with schizophrenia

BACKGROUND

Cardiovascular disease is an important cause among natural causes of death in schizophrenic patients. The metabolic syndrome (MetS) has been associated with an increased risk of morbidity and mortality due to cardiovascular disease. There are limited if any data on prevalence of MetS in Iranian patients with schizophrenia.

METHODS

Between December 2007 and May 2008, all consecutive patients with schizophrenia hospitalized at our university psychiatry hospital were entered in the study. The prevalence of MetS was evaluated based on the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP-III), the adapted ATP-III guidelines (ATP-III A), and the recently suggested criteria by International Diabetes Federation (IDF).

RESULTS

Of the study participants, 223 were men (59.9%) and 149 women (40.1%). Overall prevalence of the MetS according to the different definitions were 27.4% (ATP-III), 37.6% (ATP-III A), and 38.7% (IDF), which was over 30% more than the prevalence of MetS in the Iranian general population. The MetS was much more prevalent in women which mainly related to the fact that women had central obesity more frequently.

CONCLUSIONS

Our results confirm the high prevalence of MetS in schizophrenic patients. These results clearly suggest the necessity for a careful monitoring and management of metabolic risk factors in this high-risk population.

The incidence of diabetes in atypical antipsychotic users differs according to agent--results from a multisite epidemiologic study

PURPOSE

The purpose of this study was to examine the association between atypical antipsychotics, including the newer agents, aripiprazole and ziprasidone, and newly treated diabetes, using the largest post-marketing cohort of patients exposed to these newer treatments that has been studied to date.

METHODS

Identified two overlapping cohorts-a simple cohort (all antipsychotic users) and an inception cohort (new users of antipsychotics)-using automated data from three United States sites (60.4 million covered lives). Patients exposed to antipsychotics > or = 45 days were identified and followed for incident diagnoses of treated diabetes. Data analysis accounted for drug switching and non-consistent drug use.

RESULTS

In the 55 287-member inception cohort, 357 cases of newly treated diabetes were identified. Compared with current use of typical antipsychotics, current users of aripiprazole (adjusted hazard ratio (aHR) 0.93, 95% confidence interval (CI) 0.50-1.76), quetiapine (aHR 1.04, 95%CI, 0.67-1.62), risperidone (aHR 0.85, 95%CI, 0.54-1.36) and ziprasidone (aHR 1.05, 95%CI, 0.54-2.08) had similar low risk of diabetes. Patients exposed to olanzapine had an increased risk of diabetes (aHR 1.71, 95%CI, 1.12-2.61), and although the effect estimate is imprecise, clozapine-exposed patients had a trend towards an elevated hazard ratio (aHR 2.58, 95%CI, 0.76-8.80). Results for the simple cohort were similar.

CONCLUSIONS

Relative to typical antipsychotics, aripiprazole, ziprasidone, risperidone and quetiapine were not associated with an increased risk of diabetes; olanzapine and clozapine were associated with an increased risk. This analysis constitutes the largest post-marketing pharmacoepidemiologic study to date that includes the newer agents.

The International Society for Bipolar Disorders (ISBD) consensus guidelines for the safety monitoring of bipolar disorder treatments

OBJECTIVES

Safety monitoring is an important aspect of bipolar disorder treatment, as mood-stabilising medications have potentially serious side effects, some of which may also aggravate existing medical comorbidities. This paper sets out the International Society for Bipolar Disorders (ISBD) guidelines for the safety monitoring of widely used agents in the treatment of bipolar disorder. These guidelines aim to provide recommendations that take into consideration the balance between safety and cost-effectiveness, to highlight iatrogenic and preventive clinical issues, and to facilitate the broad implementation of therapeutic safety monitoring as a standard component of treatment for bipolar disorder.

METHODS

These guidelines were developed by an ISBD workgroup, headed by the senior author (MB), through an iterative process of serial consensus-based revisions. After this, feedback from a multidisciplinary group of health professionals on the applicability of these guidelines was sought to develop the final recommendations.

RESULTS

General safety monitoring recommendations for all bipolar disorder patients receiving treatment and specific monitoring recommendations for individual agents are outlined.

CONCLUSIONS

These guidelines are derived from evolving and often indirect data, with minimal empirical cost-effectiveness data available to provide guidance. These guidelines will therefore need to be modified to adapt to different clinical settings and health resources. Clinical acumen and vigilance remain critical ingredients for safe treatment practice.

Cardiovascular disease and diabetes in people with severe mental illness position statement from the European Psychiatric Association (EPA), supported by the European Association for the Study of Diabetes (EASD) and the European Society of Cardiology (ESC)

People with severe mental illnesses, such as schizophrenia, depression or bipolar disorder, have worse physical health and reduced life expectancy compared to the general population. The excess cardiovascular mortality associated with schizophrenia and bipolar disorder is attributed in part to an increased risk of the modifiable coronary heart disease risk factors; obesity, smoking, diabetes, hypertension and dyslipidaemia. Antipsychotic medication and possibly other psychotropic medication like antidepressants can induce weight gain or worsen other metabolic cardiovascular risk factors. Patients may have limited access to general healthcare with less opportunity for cardiovascular risk screening and prevention than would be expected in a non-psychiatric population. The European Psychiatric Association (EPA), supported by the European Association for the Study of Diabetes (EASD) and the European Society of Cardiology (ESC) published this statement with the aim of improving the care of patients suffering from severe mental illness. The intention is to initiate cooperation and shared care between the different healthcare professionals and to increase the awareness of psychiatrists and primary care physicians caring for patients with severe mental illness to screen and treat cardiovascular risk factors and diabetes.

[Drawing up guidelines for the attendance of physical health of patients with severe mental illness]

INTRODUCTION

Having a mental illness has been and remains even now, a strong barrier to effective medical care. Most mental illness, such as schizophrenia, bipolar disorder, and depression are associated with undue medical morbidity and mortality. It represents a major health problem, with a 15 to 30 year shorter lifetime compared with the general population.

METHODS

Based these facts, a workshop was convened by a panel of specialists: psychiatrists, endocrinologists, cardiologists, internists, and pharmacologists from some French hospitals to review the information relating to the comorbidity and mortality among the patients with severe mental illness, the risks with antipsychotic treatment for the development of metabolic disorders and finally cardiovascular disease. The French experts strongly agreed on these points: that the patients with severe mental illness have a higher rate of preventable risk factors such as smoking, addiction, poor diet, lack of exercise; the recognition and management of morbidity are made more difficult by barriers related to patients, the illness, the attitudes of medical practitioners, and the structure of healthcare delivery services; and improved detection and treatment of comorbidity medical illness in people with severe mental illness will have significant benefits for their psychosocial functioning and overall quality of life. GUIDELINES FOR INITIATING ANTIPSYCHOTIC THERAPY: Based on these elements, the French experts propose guidelines for practising psychiatrists when initiating and maintaining therapy with antipsychotic compounds. The aim of the guidelines is practical and concerns the detection of medical illness at the first episode of mental illness, management of comorbidity with other specialists, family practitioner and follow-up with some key points. The guidelines are divided into two major parts. The first part provides: a review of mortality and comorbidity of patients with severe mental illness: the increased morbidity and mortality are primarily due to premature cardiovascular disease (myocardial infarction, stroke...).The cardiovascular events are strongly linked to non modifiable risk factors such as age, gender, personal and/or family history, but also to crucial modifiable risk factors, such as overweight and obesity, dyslipidemia, diabetes, hypertension and smoking. Although these classical risk factors exist in the general population, epidemiological studies suggest that patients with severe mental illness have an increased prevalence of these risk factors. The causes of increased metabolic and cardiovascular risk in this population are strongly related to poverty and limited access to medical care, but also to the use of psychotropic medication. A review of major published consensus guidelines for metabolic monitoring of patients treated with antipsychotic medication that have recommended stringent monitoring of metabolic status and cardiovascular risk factors in psychiatric patients receiving antipsychotic drugs. There have been six attempts, all published between 2004 and 2005: Mount Sinai, Australia, ADA-APA, Belgium, United Kingdom, Canada. Each guideline had specific, somewhat discordant, recommendations about which patients and drugs should be monitored. However, there was agreement on the importance of baseline monitoring and follow-up for the first three to four months of treatment, with subsequent ongoing reevaluation. There was agreement on the utility of the following tests and measures: weight and height, waist circumference, blood pressure, fasting plasma glucose, fasting lipid profile. In the second part, the French experts propose guidelines for practising psychiatrists when initiating and maintaining therapy with antipsychotic drugs: the first goal is identification of risk factors for development of metabolic and cardiovascular disorders: non modifiable risk factors: these include: increasing age, gender (increased rates of obesity, diabetes and metabolic syndrome are observed in female patients treated with antipsychotic drugs), personal and family history of obesity, diabetes, heart disease, ethnicity as we know that there are increased rates of diabetes, metabolic syndrome and coronary heart disease in patients of non European ethnicity, especially among South Asian, Hispanic, and Native American people. Modifiable risk factors: these include: obesity, visceral obesity, smoking, physical inactivity, and bad diet habits. Then the expert's panel focussed on all the components of the initial visit such as: family and medical history; baseline weight and BMI should be measured for all patients. Body mass index can be calculated by dividing weight (in kilograms) by height (in meters) squared; visceral obesity measured by waist circumference; blood pressure; fasting plasma glucose; fasting lipid profiles. These are the basic measures and laboratory examinations to do when initiating an antipsychotic treatment. ECG: several of the antipsychotic medications, typical and atypical, have been shown to prolong the QTc interval on the ECG. Prolongation of the QTc interval is of potential concern since the patient may be at risk for wave burst arrhythmia, a potentially serious ventricular arrhythmia. A QTc interval greater than 500 ms places the patient at a significantly increased risk for serious arrhythmia. QTc prolongation has been reported with varying incidence and degrees of severity. The atypical antipsychotics can also cause other cardiovascular adverse effects with, for example, orthostatic hypotension. Risk factors for cardiovascular adverse effects with antipsychotics include: known cardiovascular disease, electrolyte disorders, such as hypokaliemia, hypomagnesaemia, genetic characteristics, increasing age, female gender, autonomic dysfunction, high doses of antipsychotics, the use of interacting drugs, and psychiatric illness itself. In any patient with pre-existing cardiac disease, a pre-treatment ECG with routine follow-up is recommended.

CONCLUDING REMARKS

Patients on antipsychotic drugs should undergo regular testing of blood sugar, lipid profile, as well as body weight, waist circumference and blood pressure, with recommended time intervals between measures. Clinicians should track the effects of treatment on physical and biological parameters, and should facilitate access to appropriate medical care. In order to prevent or limit possible side effects, information must be given to the patient and his family on the cardiovascular and metabolic risks. The cost-effectiveness of implementing these recommendations is considerable: the costs of laboratory tests and additional equipment costs (such as scales, tape measures, and blood pressure devices) are modest. The issue of responsibility for monitoring for metabolic abnormalities is much debated. However, with the prescription of antipsychotic drugs comes the responsibility for monitoring potential drug-induced metabolic abnormalities. The onset of metabolic disorders will imply specific treatments. A coordinated action of psychiatrists, general practitioners, endocrinologists, cardiologists, nurses, dieticians, and of the family is certainly a key determinant to ensure the optimal care of these patients.

Care for patients with severe mental illness: the general practitioner's role perspective

BACKGROUND

Patients with severe mental illness (SMI) experience distress and disabilities in several aspects of life, and they have a higher risk of somatic co-morbidity. Both patients and their family members need the support of an easily accessible primary care system. The willingness of general practitioners and the impeding factors for them to participate in providing care for patients with severe mental illness in the acute and the chronic or residual phase were explored.

METHODS

A questionnaire survey of a sample of Dutch general practitioners spread over the Netherlands was carried out. This comprised 20 questions on the GP's 'Opinion and Task Perspective', 19 questions on 'Treatment and Experiences', and 27 questions on 'Characteristics of the General Practitioner and the Practice Organisation'.

RESULTS

186 general practitioners distributed over urban areas (49%), urbanised rural areas (38%) and rural areas (15%) of the Netherlands participated. The findings were as follows: GPs currently considered themselves as the first contact in the acute psychotic phase. In the chronic or residual phase GPs saw their core task as to diagnose and treat somatic co-morbidity. A majority would be willing to monitor the general health of these patients as well. It appeared that GP trainers and GPs with a smaller practice setting made follow-up appointments and were willing to monitor the self-care of patients with SMI more often than GPs with larger practices.GPs also saw their role as giving support and information to the patient's family.However, they felt a need for recognition of their competencies when working with mental health care specialists.

CONCLUSION

GPs were willing to participate in providing care for patients with SMI. They considered themselves responsible for psychotic emergency cases, for monitoring physical health in the chronic phase, and for supporting the relatives of psychotic patients.

Metabolic syndrome in people with schizophrenia: a review

Metabolic syndrome and other cardiovascular risk factors are highly prevalent in people with schizophrenia. Patients are at risk for premature mortality and overall have limited access to physical health care. In part these cardio-metabolic risk factors are attributable to unhealthy lifestyle, including poor diet and sedentary behaviour. But over recent years it has become apparent that antipsychotic agents can have a negative impact on some of the modifiable risk factors. The psychiatrist needs to be aware of the potential metabolic side effects of antipsychotic medication and to include them in the risk/benefit assessment when choosing a specific antipsychotic. He should also be responsible for the implementation of the necessary screening assessments and referral for treatment of any physical illness. Multidisciplinary assessment of psychiatric and medical conditions is needed. The somatic treatments offered to people with severe and enduring mental illness should be at par with general health care in the non-psychiatrically ill population.

The metabolic syndrome and schizophrenia

OBJECTIVE

To summarize the accumulated data on metabolic syndrome prevalence in patients with schizophrenia, examine evidence for a biological contribution of the mental illness to metabolic risk and review novel options available for management of prediabetic states.

METHOD

A Medline search using metabolic syndrome, insulin resistance and insulin sensitivity cross-referenced with schizophrenia was performed on articles published between 1990 and May 2008.

RESULTS

Recent evidence indicates that schizophrenia increases predisposition towards metabolic dysfunction independent of environmental exposure. Both fasting and non-fasting triglycerides have emerged as important indicators of cardiometabolic risk, while metformin, thiazolidinediones and GLP-1 modulators may prove promising tools for managing insulin resistance.

CONCLUSION

Because of lifestyle, disease and medication effects, schizophrenia patients have significant risk for cardiometabolic disease. Routine monitoring, preferential use of metabolically neutral antipsychotics and lifestyle education are critical to minimizing risk, with a possible role for antidiabetic medications for management of insulin resistant states that do not respond to other treatment strategies.

Practical issues with amisulpride in the management of patients with schizophrenia

Amisulpride is an atypical antipsychotic with a significantly greater effect size than first-generation, typical antipsychotics, and efficacy at least similar to that of olanzapine and risperidone in large-scale clinical trials in schizophrenia. Amisulpride provides greater improvement in positive and negative symptoms of schizophrenia, a better long-term outcome than typical antipsychotics, and distinct tolerability advantages over typical antipsychotics, which are reported to cause extrapyramidal symptoms (EPS) in 20-50% of patients. In addition, amisulpride is associated with significantly less weight gain than olanzapine and risperidone, does not increase body mass index, and favourably influences lipid profiles. In many patients with schizophrenia, adverse events impair adherence to treatment, and switching from typical or atypical antipsychotic therapy to amisulpride may be clinically appropriate. Observational drug-utilization studies suggest that many physicians switch to amisulpride because of fewer EPS and/or less weight gain and improved patient adherence. Cross-tapering (over 4 weeks), rather than abrupt cessation of pre-switch treatment, is preferred. Amisulpride has a low risk of drug-drug interactions, and, during cross-tapering, patients can remain on concurrent treatments (e.g. anticholinergics and antiparkinsonian agents) until the effective dosage has been reached. An appropriate amisulpride starting dose is 800 mg/day for patients with acute psychotic exacerbations, 400-800 mg/day for patients with predominantly positive symptoms, and 100-300 mg/day for predominantly negative symptoms. Amisulpride may be particularly suitable for clozapine-augmentation therapy in patients with refractory schizophrenia. Indeed, amisulpride is more effective than quetiapine as augmentation therapy in patients partially responsive to clozapine, and several prospective open-label studies and case series have reported promising results for amisulpride/clozapine combination therapy. In three prospective studies, addition of amisulpride 200-800 mg/day to clozapine significantly reduced mean scores on the Brief Psychiatric Rating Scale (BPRS) total (-33% to -35%), Clinical Global Impression (CGI)-Severity scale (-31%), Positive and Negative Syndrome Scale total (-22%), and Scale for the Assessment of Negative Symptoms (-34%). The proportion of responders (CGI score > or =3 or BPRS improvement >20%) was 71-86%. Retrospective case-series analyses have also reported improved psychopathological state, reduced adverse events, and lower clozapine dosage requirement with use of this combination. The pharmacological and clinical profiles of amisulpride suggest that this agent is a viable clinical option when a change of antipsychotic therapy is required in patients with schizophrenia because of lack of efficacy, adverse events and poor adherence to treatment, or for augmentation of clozapine in treatment-resistant illness.

Prevalence and associations of the metabolic syndrome among patients prescribed clozapine

BACKGROUND

There is increasing concern that the use of second-generation antipsychotic medications in schizophrenia is associated with the development of metabolic syndrome.

AIMS

This study assessed the prevalence and clinical associations of metabolic syndrome among patients receiving clozapine within the catchment area of a mental health service in the west of Ireland.

METHOD

A total of 84 patients (96% response rate) taking clozapine were interviewed and thoroughly investigated using physical assessments, comprehensive laboratory testing and review of medical records.

RESULTS

Of the patients, 46.4% taking clozapine fulfilled the criteria for metabolic syndrome. Male gender, high body mass index, high insulin level and receiving a concomitant antipsychotic medication were significantly associated with the presence of metabolic syndrome.

CONCLUSION

Almost half of the patients receiving clozapine have metabolic syndrome and are consequently at risk of cardiovascular morbidity and mortality. Such patients should be closely monitored in order to facilitate interventions, which could alleviate the adverse health consequences of this syndrome.

Overcoming hurdles to achieving good physical health in patients treated with atypical antipsychotics

Hurdles that must be overcome in order to implement guidelines and maximize physical health in patients treated with antipsychotics include the impression that a disruption in physical health is an inevitable token for the patient to pay in order to achieve and maintain his or her mental health; lack of routine monitoring; lack of defined care pathways for evaluation, monitoring and treatment of physical health issues in psychiatry; the burden of guideline implementation on mental health team resources; the difficulty to perform certain procedures (e.g. monitoring of waist circumference); and reluctance to switch medications once physical health effects are recognized, especially if the psychiatric symptoms are under relatively good control. It is imperative that we act now to overcome these hurdles and maximize outcomes for our patients. Strategies include establishing simple, consistent processes for physical health monitoring and tracking in clinical practice; provision of appropriate equipment to staff; effective education of all personnel involved in the care of psychiatric patients regarding this important topic; and consideration of a medication switch in patients whose medication is a high-risk contributory factor to poor physical health.

Metabolic syndrome in first episode schizophrenia - a randomized double-blind controlled, short-term prospective study

BACKGROUND

Although the treatment of schizophrenia, arguably one of the most devastating diseases today, has been immensely helped by the advent of second-generation antipsychotics, they have come at a considerable cost - the metabolic syndrome (MetS). This adverse effect has been described with several antipsychotics to range between 20%-60%, at least double the prevalence in the general population.

METHODS

All consecutive patients with first episode schizophrenia at our referral psychiatric hospital were recruited in an extensive prospective randomized, double-blind controlled study including measures of waist circumference (WC), blood pressure (SBP/DBP), triglyceride (TGL), high-density lipoproteins (HDL) and fasting blood sugar (FBS) levels and randomized to receive either, haloperidol, olanzapine or risperidone. The prevalence of MetS was assessed based on two criteria- ATP IIIA and criteria of International Diabetes Federation (IDF). This was compared with a gender, age, exercise and diet matched healthy control group.

RESULTS

The analysis of 99 patients showed a prevalence of MetS as 10.1% and 18.2% as assessed by ATP IIIA and IDF criteria respectively. The prevalence of MetS in our sample of patients with schizophrenia is at least five times as high when compared to the matched healthy control group. Olanzapine had maximum prevalence of MetS at 20-25% followed by risperidone at 9-24% and haloperidol at 0-3%.

DISCUSSION

Metabolic syndrome is highly prevalent among treated patients with first episode schizophrenia. Early monitoring of patients on atypical antipsychotics can possibly play an important role in early detection and hence prevention of the metabolic syndrome.

Typical and atypical antipsychotics differentially affect long-term incidence rates of the metabolic syndrome in first-episode patients with schizophrenia: a retrospective chart review

The presence of the metabolic syndrome (MetS) is an important risk factor for cardiovascular disease and diabetes. There are limited data on the prevalence of MetS in patients with schizophrenia at the onset of the disorder and specifically no data on patients treated in the era when only first-generation antipsychotics were available.

METHODS

Data from a historic cohort of consecutively admitted first-episode patients with schizophrenia treated with first-generation antipsychotics (FGAs) were compared with an age and sex matched series of consecutive first-episode patients treated only with second-generation antipsychotics (SGAs). Rates of MetS were compared at baseline and after on average 3 years of treatment exposure.

RESULTS

At first episode there was no difference in the prevalence of MetS between the historic and the current cohort. Rates of MetS increased over time in both groups, but patients started on SGAs had a three times higher incidence rate of MetS (Odds Ratio 3.6, CI 1.7-7.5). The average increase in weight and body mass index was twice as high in patients started on SGA. The difference between the FGA and SGA group was no longer significant when patients started on clozapine and olanzapine were excluded.

CONCLUSION

Rates of MetS at the first episode of schizophrenia today are not different from those of patients 15 to 20 years ago. This finding counters the notion that the high rates of metabolic abnormalities in patients with schizophrenia currently reported are mainly due to lifestyle changes over time in the general population. Some SGAs have a significantly more negative impact on the incidence of MetS compared to FGAs in first-episode patients.

Prevalence of diabetes and the metabolic syndrome in a sample of patients with bipolar disorder

OBJECTIVES

The presence of metabolic abnormalities is an important risk factor for cardiovascular disease and diabetes. There are limited data on the prevalence of the metabolic abnormalities in disorders other than schizophrenia in which antipsychotic medication is part of routine treatment.

METHODS

Sixty consecutive patients with bipolar disorder (BD) at our university psychiatric hospital and affiliate services were entered in an extensive prospective metabolic study including an oral glucose tolerance test. The prevalence of the metabolic syndrome was assessed based on the National Cholesterol Education Program Adult Treatment Protocol (ATP-III) criteria, the adapted ATP-III criteria using a fasting glucose threshold of 100 mg/dL, and the recently proposed criteria from the International Diabetes Federation (IDF).

RESULTS

The analysis of 60 patients showed a prevalence of the metabolic syndrome of 16.7% (ATP-III), 18.3% (adapted ATP-III) and 30.0% (IDF), respectively. A total of 6.7% of the patients met criteria for diabetes and 23.3% for pre-diabetic abnormalities.

CONCLUSIONS

The metabolic syndrome and glucose abnormalities are highly prevalent among patients with BD. They represent an important risk for cardiovascular and metabolic disorders. Assessment of the presence and monitoring of metabolic abnormalities and its associated risks should be part of the clinical management of patients with BD.

A case series: evaluation of the metabolic safety of aripiprazole

Metabolic abnormalities occur frequently in patients treated with antipsychotics and are of growing concern to clinicians. This study sought to determine whether antipsychotic-associated metabolic abnormalities identified through intensive monitoring can be reversed by switching to aripiprazole. Recent evidence suggests that aripiprazole may exhibit a favorable metabolic safety profile. The study population is a subset of a large (n > 500) ongoing prospective cohort. Thirty-one consecutive patients with schizophrenia who were started on aripiprazole were included in the study. All patients underwent an extensive metabolic evaluation, including an oral glucose tolerance test, at baseline, at 6 weeks, and at 3 months post switch. Metabolic abnormalities were defined as any of the following: new onset diabetes, impaired fasting glucose, impaired glucose tolerance, metabolic syndrome (MetS) according to various definitions, and dyslipidemia. After 3 months of treatment with aripiprazole (mean daily dose 16.3 mg), there was a significant decrease in body weight, body mass index, and waist circumference. There was a significant reduction in fasting glucose, fasting insulin, insulin resistance index, and serum lipids levels (cholesterol, triglycerides, low-density lipoprotein (LDL), LDL/HDL, Chol/HDL, and non-HDL cholesterol). There was also a significant reduction in prolactin levels. All 7 cases of recent onset diabetes were reversed at 3 months follow-up. The MetS was reversed in 50% of patients at 3 months follow-up. Our results support the reversibility of recent onset diabetes on antipsychotic medication when detected early and followed by a switch to aripiprazole.

Metabolic control in patients with schizophrenia treated with amisulpride or olanzapine

The use of certain atypical antipsychotics has been associated with metabolic disturbances. We have assessed the evolution of body weight and glycaemia during a 6-month randomized comparative trial of amisulpride and olanzapine. Three hundred and seventy-seven adult patients with schizophrenia were randomized to either amisulpride (200-800 mg/day) or olanzapine (5-20 mg/day) for 6 months. Body weight and fasting blood glucose were measured. Both treatments showed comparable antipsychotic activity. Weight gain over the study was significantly greater (P=0.0004) in the olanzapine group (3.9+/-5.3 kg) than in the amisulpride group (1.6+/-4.9 kg). Mean fasting blood glucose increased in the olanzapine group by 4.42 mg/dl to a mean maximum value (118+/-38 mg/dl). In the amisulpride group, mean glucose levels fell by 2.82 mg/dl. The difference between groups was significant at 2 (P=0.0066) and 6 months (P=0.017). One olanzapine-treated patient was diagnosed with diabetes. Metabolic changes in the amisulpride group were restricted to patients with high body mass index at inclusion. At doses that provide comparable control of psychosis, treatment with olanzapine was associated with greater increase in weight and blood glucose compared with amisulpride. This should be taken into account in assessing risk-benefit of treatment options in schizophrenia.

Abnormal glucose metabolism in patients treated with antipsychotics

Second-generation (atypical) antipsychotic medications are of great benefit to a wide variety of people with psychiatric disorders, especially patients with schizophrenia. However, one constellation of adverse effects is an increased risk of obesity, diabetes, and metabolic syndrome. Increasing numbers of reports concerning impaired glucose tolerance, diabetes, and ketoacidosis have raised concerns about a possible association between abnormal glucose metabolism and treatment with atypical antipsychotics, although the question is still debated because of the presence of many confounding factors. A close relationship between drug-induced weight gain and risk of diabetes has been reported, emphasizing the role of insulin resistance. However, some cases of diabetes developed independently of weight gain, rather rapidly and possibly progressing to ketoacidosis, thus arguing for a severe impairment of insulin secretion. Another debated question is whether diabetes risk is a class action or a differential action. Although not fully scientifically proven yet, available evidence suggests that clozapine and olanzapine have a higher propensity to induce diabetes and metabolic syndrome compared with other atypical antipsychotic drugs, risperidone and quetiapine. Despite more limited available data, amisulpride, aripiprazole and ziprazidone showed less likelihood of precipitating diabetes. Interestingly, reversibility of drug-related diabetes has been reported with aripiprazole. The choice of atypical antipsychotic medication for a specific patient depends on many factors, but the likelihood of developing diabetes should become an important consideration. When prescribing an atypical antipsychotic, a commitment to careful baseline screening and follow-up monitoring is essential in order to mitigate the risk of developing diabetes and associated complications.

Interventions to reduce weight gain in schizophrenia

BACKGROUND

Weight gain is common for people with schizophrenia and this has serious implications for health and well being.

OBJECTIVES

To determine the effects of both pharmacological (excluding medication switching) and non pharmacological strategies for reducing or preventing weight gain in people with schizophrenia.

SEARCH STRATEGY

We searched key databases and the Cochrane Schizophrenia Group's trials register (April 2006), reference sections within relevant papers, hand searched key journals, and contacted the first author of each relevant study and other experts to collect further information.

SELECTION CRITERIA

We included all clinical randomised controlled trials comparing any pharmacological or non pharmacological intervention for weight gain (diet and exercise counselling) with standard care or other treatments for people with schizophrenia or schizophrenia-like illnesses.

DATA COLLECTION AND ANALYSIS

We reliably selected, quality assessed and extracted data from studies. As weight is a continuous outcome measurement, weighted mean differences (WMD) of the change from baseline were calculated. The primary outcome measure was weight loss.

MAIN RESULTS

Twenty-three randomised controlled trials met the inclusion criteria for this review. Five trials assessed a cognitive/behavioural intervention and eighteen assessed a pharmacological adjunct. In terms of prevention, two cognitive/behavioural trials showed significant treatment effect (mean weight change) at end of treatment (n=104, 2 RCTs, WMD -3.38 kg CI -4.2 to -2.0). Pharmacological adjunct treatments were significant with a modest prevention of weight gain (n=274, 6 RCTs, WMD - 1.16 kg CI -1.9 to -0.4). In terms of treatments for weight loss, we found significantly greater weight reduction in the cognitive behavioural intervention group (n=129, 3 RCTs, WMD -1.69 kg CI -2.8 to -0.6) compared with standard care.

AUTHORS' CONCLUSIONS

Modest weight loss can be achieved with selective pharmacological and non pharmacological interventions. However, interpretation is limited by the small number of studies, small sample size, short study duration and by variability of the interventions themselves, their intensity and duration. Future studies adequately powered, with longer treatment duration and rigorous methodology will be needed in further evaluating the efficacy and safety of weight loss interventions for moderating weight gain. At this stage, there is insufficient evidence to support the general use of pharmacological interventions for weight management in people with schizophrenia.

Body weight and self-esteem in patients with schizophrenia evaluated with B-WISE

BACKGROUND

Metabolic abnormalities and weight gain are an important problem in patients with schizophrenia. An instrument to evaluate body image and self-esteem related to weight has recently been developed (B-WISE). The first objective was to evaluate whether the findings of the original validation study could be confirmed in a European sample. The second objective was to explore the association of B-WISE scores with the metabolic syndrome and glucose abnormalities.

METHODS

A Dutch translation of B-WISE was tested in a large sample of patients with schizophrenia (n=300) who underwent an extensive metabolic screening.

RESULTS

The original findings with B-WISE were confirmed in an independent sample. Scores on B-WISE differed significantly as a function of BMI. Scores on B-WISE also differentiated patients with and without the metabolic syndrome and glucose abnormalities. Patients experiencing a recent weight gain had lower self-esteem and poorer psychosocial adaptation.

CONCLUSION

B-WISE could be a useful instrument to evaluate the subjective psychosocial consequences associated with current weight and weight gain in patients with schizophrenia.

Metabolic monitoring for patients treated with antipsychotic medications

OBJECTIVES

Metabolic side effects of antipsychotic treatment include weight gain, dyslipidemia and increased susceptibility to diabetes. Patients with schizophrenia have increased coronary heart disease mortality and reduced life expectancy. There is an urgent clinical need to monitor antipsychotic-treated patients for metabolic disturbance. Our objectives were to review published international monitoring guidelines, establish goals for metabolic monitoring, and make recommendations for practice.

METHOD

We reviewed the major published consensus guidelines for metabolic monitoring of patients treated with antipsychotic medications and selectively reviewed practice guidelines for the management of diabetes, dyslipidemia, and hypertension.

RESULTS

Patients with serious mental illness have markedly elevated rates of metabolic disturbance and limited access to general medical care. Monitoring, but not necessarily medical treatment of metabolic disorder, falls within the scope of psychiatric practice and should include screening for metabolic disturbance as well as tracking the effects of antipsychotic treatment. In addition, psychiatrists and psychiatric services should work toward facilitating patients' access to medical care. There is considerable consensus in the published guidelines. Areas of dissent include which patients to monitor, the utility of glucose tolerance testing, and the point at which to consider switching antipsychotics.

CONCLUSION

We encourage clinicians to adopt a structured system for conducting and recording metabolic monitoring and to develop collaborations with family physicians, diabetes specialists, dieticians, and recreation therapists to facilitate appropriate medical care for antipsychotic-treated patients.

Prevalence of diabetes, metabolic syndrome and metabolic abnormalities in schizophrenia over the course of the illness: a cross-sectional study

Background

Patients with schizophrenia are at high risk of developing metabolic abnormalities.

Method

A prospective study focusing on metabolic disturbances in patients with schizophrenia, including an oral glucose tolerance test, is currently ongoing at our University Hospital and affiliate services. The prevalence of metabolic abnormalities at baseline was assessed in a cohort of 415 patients with schizophrenia. The sample was divided into 4 groups according to duration of illness: first-episode patients (<1.5 years), recent-onset patients (between 1.5 and 10 years), subchronic patients (between 10 and 20 years) and chronic patients (>20 years).

Results

Metabolic abnormalities were already present in first-episode patients, and considerably increased with increasing duration of illness. When compared to the general population matched for age and gender, much higher rates of the metabolic syndrome (MetS) and diabetes were observed for patients with schizophrenia. For MetS, the increase over time was similar to that of the general population. In contrast, the difference in the prevalence of diabetes in patients with schizophrenia and the general population dramatically and linearly increased from 1.6% in the 15–25 age-band to 19.2% in the 55–65 age-band.

Conclusion

Thus, the current data suggest that on the one hand metabolic abnormalities are an inherent part of schizophrenic illness, as they are already present in first-episode patients. On the other hand, however, our results suggest a direct effect of the illness and/or antipsychotic medication on their occurence. The data underscore the need for screening for metabolic abnormalities in patients diagnosed with schizophrenia, already starting from the onset of the illness.

Validation of a physical activity assessment tool for individuals with schizophrenia

OBJECTIVE

Increasing physical activity must be one component of lifestyle interventions designed to prevent or treat obesity in schizophrenia and there is now a need to develop low cost, practical and accurate measures of physical activity in this population to identify the prevalence of physical (in)activity and to assess the effectiveness of physical activity interventions. The objective of this study was to provide preliminary validation of the Short-Form International Physical Activity Questionnaire (IPAQ), a measurement tool that could prove useful for both clinicians and researchers in the field.

METHOD

Reliability and validity data were collected from a sample of 35 outpatients with a DSM-IV diagnosis of schizophrenia. Test-retest repeatability was assessed within the same week and criterion validity was assessed against an RT3 accelerometer. Spearman's correlation coefficients are reported based on the total reported physical activity (minutes) and estimated energy expenditure.

RESULT

We found a correlation coefficient of 0.68 for reliability and 0.37 for criterion validity based on total reported minutes of physical activity. There was a nonsignificant correlation (0.30; p>0.05) between the RT3 data and estimated energy expenditure derived from the IPAQ.

CONCLUSION

Although not without limitations, the Short-Form IPAQ, when used with individuals with schizophrenia, exhibits measurement properties that are comparable to those reported in the general population and can be considered as a surveillance tool to assess levels of physical activity.