Equally increased risk for metabolic syndrome in patients with bipolar disorder and schizophrenia treated with second-generation antipsychotics

Metabolic syndrome in bipolar disorder and schizophrenia: dietary and lifestyle factors compared to the general population

OBJECTIVE

Since a poor diet is often cited as a contributor to metabolic syndrome for subjects diagnosed with bipolar disorder and schizophrenia, we sought to examine dietary intake, cigarette smoking, and physical activity in these populations and compare them with those for the general population.

METHODS

Individuals diagnosed with bipolar disorder (n = 116) and schizophrenia (n = 143) were assessed for dietary intake, lifestyle habits, and metabolic syndrome and compared to age-, gender-, and race-matched subjects from the National Health and Nutrition Examination Survey (NHANES) 1999-2000. Additionally, matched subgroups within the patient populations were compared to elicit any differences.

RESULTS

As expected, the metabolic syndrome rate was higher in the samples with bipolar disorder (33%) and schizophrenia (47%) compared to matched NHANES controls (17% and 11%, respectively), and not different between the patient groups. Surprisingly, both subjects with bipolar disorder and those with schizophrenia consumed fewer total calories, carbohydrates and fats, as well as more fiber (p < 0.03), compared to NHANES controls. No dietary or activity differences between patient participants with and without metabolic syndrome were found. Subjects with schizophrenia had significantly lower total and low-density cholesterol levels (p < 0.0001) compared to NHANES controls. Subjects with bipolar disorder smoked less (p = 0.001), exercised more (p = 0.004), and had lower body mass indexes (p = 0.009) compared to subjects with schizophrenia.

CONCLUSIONS

Counter to predictions, few dietary differences could be discerned between schizophrenia, bipolar disorder, and NHANES control groups. The subjects with bipolar disorder exhibited healthier behaviors than the patients with schizophrenia. Additional research regarding metabolic syndrome mechanisms, focusing on non-dietary contributions, is needed.

Cost-effectiveness of asenapine in the treatment of bipolar disorder in Canada

BACKGROUND

Bipolar disorder (BPD) is prevalent and is associated with a significant economic burden. Asenapine, the first tetracyclic antipsychotic approved in Canada for the treatment of BPD, has shown a comparable efficacy profile to other atypical antipsychotics. In addition, it is associated with a favourable metabolic profile and minimal weight gain potential. This study aimed to assess the economic impact of asenapine compared to olanzapine in the treatment of BPD in Canada.

METHODS

A decision tree combined with a Markov model was constructed to assess the cost-utility of asenapine compared with olanzapine. The decision tree takes into account the occurrence of extrapyramidal symptoms (EPS), the probability of switching to a different antipsychotic, and the probability of gaining weight. The Markov model takes into account long-term metabolic complications including diabetes, hypertension, coronary heart diseases (CHDs), and stroke. Analyses were conducted from both a Canadian Ministry of Health (MoH) and a societal perspective over a five-year time horizon with yearly cycles.

RESULTS

In the treatment of BPD, asenapine is a dominant strategy over olanzapine from both a MoH and a societal perspective. In fact, asenapine is associated with lower costs and more quality-adjusted life years (QALYs). Results of the probabilistic sensitivity analysis indicated that asenapine remains a dominant strategy in 99.2% of the simulations, in both a MoH and a societal perspective, and this result is robust to the many deterministic sensitivity analyses performed.

CONCLUSIONS

This economic evaluation demonstrates that asenapine is a cost-effective strategy compared to olanzapine in the treatment of BPD in Canada.

Metabolic syndrome prevalence in different affective temperament profiles in bipolar-I disorder

OBJECTIVE

Temperament originates in the brain structure, and individual differences are attributable to neural and physiological function differences. It has been suggested that temperament is associated with metabolic syndrome (MetS) markers, which may be partly mediated by lifestyle and socioeconomic status. Therefore, we aim to compare MetS prevalence between different affective temperamental profiles for each season in bipolar patients.

METHODS

Twenty-six bipolar type-I patients of a specialized outpatient mood disorder unit were evaluated for MetS according to new definition proposed by the International Diabetes Federation in the four seasons of a year. Temperament was assessed using the Temperament Evaluation of Memphis, Pisa, Paris and San Diego - autoquestionnaire version (TEMPS-A).

RESULTS

The proportions of MetS were 19.2, 23.1, 34.6, and 38.5% in the summer, fall, spring, and winter, respectively. Only depressive temperament scores were higher (p = 0.002) during the winter in patients with MetS.

CONCLUSION

These data suggest that depressive temperament profiles may predispose an individual to the development of MetS in the winter.

Comparative study of prevalence of metabolic syndrome in bipolar disorder and schizophrenia from North India

BACKGROUND

Very few studies have compared the prevalence of metabolic syndrome (MS) between patients with bipolar disorder and schizophrenia.

AIM

The study aimed to compare the prevalence of MS in patients with bipolar disorder and schizophrenia.

MATERIALS AND METHODS

By consecutive sampling, 126 patients with schizophrenia and 72 patients with bipolar disorder admitted to a psychiatry inpatient unit were evaluated for the presence of MS using the criteria of International Diabetes Federation (IDF) and modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III). A control group of 50 healthy subjects was used to represent the general prevalence of MS in the community.

RESULTS

In the bipolar disorders group, 40 patients (55.55%) fulfilled IDF criteria and 45 (62.5%) satisfied modified NCEP ATP-III criteria for MS. These figures were significantly higher than those for the schizophrenia group (34.1% IDF and 36.5% modified NCEP ATP-III criteria). Prevalence of MS was 6% in the healthy control group and significantly less than both schizophrenia and bipolar disorder group.

CONCLUSION

In the sample studied, prevalence of MS is significantly higher in bipolar disorder compared with schizophrenia. The prevalence of MS in both the clinical groups was significantly higher than the healthy control group.

Primary care-based educational interventions to decrease risk factors for metabolic syndrome for adults with major psychotic and/or affective disorders: a systematic review

BACKGROUND

Individuals with major psychotic and/or affective disorders are at increased risk for developing metabolic syndrome due to lifestyle- and treatment-related factors. Numerous pharmacological and non-pharmacological interventions have been tested in inpatient and outpatient mental health settings to decrease these risk factors. This review focuses on primary care-based non-pharmacological (educational or behavioral) interventions to decrease metabolic syndrome risk factors in adults with major psychotic and/or affective disorders.

METHODS

The authors conducted database searches of PsychINFO, MEDLINE and the Cochrane Database of Systematic Reviews, as well as manual searches and gray literature searches to identify included studies.

RESULTS

The authors were unable to identify any studies meeting a priori inclusion criteria because there were no primary care-based studies.

CONCLUSIONS

This review was unable to demonstrate effectiveness of educational interventions in primary care. Interventions to decrease metabolic syndrome risk have been demonstrated to be effective in mental health and other outpatient settings. The prevalence of mental illness in primary care settings warrants similar interventions to improve health outcomes for this population.

A pilot study investigating tumor necrosis factor-α as a potential intervening variable of atypical antipsychotic-associated metabolic syndrome in bipolar disorder

BACKGROUND

Strong associations exist between tumor necrosis factor-α (TNF-α) and metabolic syndrome (MetS). Although TNF-α is associated with bipolar depression (BD), its role in atypical antipsychotic (AAP)-associated MetS in BD is unclear. Here, we investigate the potential intervening role of TNF-α in the indirect relationship between AAP treatment and MetS in BD.

MATERIALS AND METHODS

Using a cross-sectional design, 99 euthymic BD volunteers were stratified by the presence or the absence of MetS (National Cholesterol Education Program Adult Treatment Panel III). Serum TNF-α concentration, determined via chemiluminescent immunometric assays, was compared between groups (ie, MetS or no MetS). We investigated the intervening effect of TNF-α on the relation between AAP treatment and MetS in BD using regression techniques.

RESULTS

Treatment with those antipsychotics believed associated with a higher risk for MetS (ie, AAPs: olanzapine, quetiapine, risperidone, paliperidone, clozapine) was found to be associated with significantly greater TNF-α (F 1,88 = 11.2, P = 0.001, mean difference of 1.7 ± 0.51) and a higher likelihood of MetS (F 1,88 = 4.5, P = 0.036) than in those not receiving treatment with an AAP. Additionally, TNF-α was greater (trending toward significance; T 52 = 2.0, P = 0.05) in BD volunteers with MetS and was found to have a statistically significant effect on the indirect relationship between AAP treatment and elevated waist circumference in these BD volunteers.

DISCUSSION

These results identify TNF-α as a potential intervening variable of AAP-associated MetS in BD, not previously identified in this population. Future prospective studies could assess the predictive potential of TNF-α in determining risk of AAP-associated MetS in BD. Given previous evidence relating TNF-α and mood state in BD, this study increases the importance in understanding the role of TNF-α in "mind-body" interactions and renews discussions of the utility of research into the clinical efficacy of TNF-α antagonist treatment in mood disorders.

Association between C-reactive protein and homocysteine with the subcomponents of metabolic syndrome in stable patients with bipolar disorder and schizophrenia

BACKGROUND

Previous studies revealed high prevalence of metabolic syndrome (MetS) in patients with bipolar disorder and schizophrenia. C-Reactive protein (CRP) and homocysteine have also both emerged as independent risk factors for the development of cardiovascular disease (CVD) but are less investigated in psychiatric disorders.

AIMS

The aim of this study was to ascertain which specific subcomponents of MetS are associated with levels of CRP and homocysteine in patients with bipolar disorder and schizophrenia.

METHODS

Our sample consisted of patient group (n = 122) (60 bipolar and 62 schizophrenic patients) treated with second-generation antipsychotics (SGA) and healthy controls (n = 59). MetS was defined according to NCEP ATP-III criteria; the cut-off point for elevated CRP was set up at 5 mg/l and for hyperhomocysteinemia at 15 μmol/l.

RESULTS

In the patient group, homocysteine was correlated with waist circumference, systolic and diastolic blood pressure, triglycerides and blood glucose, while CRP was correlated with waist circumference and diastolic blood pressure. Patients with hyperhomocysteinemia had an 8.442 times higher chance to have met the criteria for MetS while elevated CRP was not a significant predictor of MetS.

CONCLUSIONS

There is a complex association between CRP and homocysteine with specific subcomponents of MetS in patients with bipolar disorder and schizophrenia. Given the high risk of cardiovascular disorders in psychiatric patients, these relationships deserve further investigation. Clinically, it could be useful to include the measurement of homocysteine and CRP levels in routine psychiatric diagnostic procedures.

A meta-analysis of cardio-metabolic abnormalities in drug naïve, first-episode and multi-episode patients with schizophrenia versus general population controls

A meta-analysis was conducted to explore the risk for cardio-metabolic abnormalities in drug naïve, first-episode and multi-episode patients with schizophrenia and age- and gender- or cohort-matched general population controls. Our literature search generated 203 relevant studies, of which 136 were included. The final dataset comprised 185,606 unique patients with schizophrenia, and 28 studies provided data for age- and gender-matched or cohort-matched general population controls (n=3,898,739). We found that multi-episode patients with schizophrenia were at increased risk for abdominal obesity (OR=4.43; CI=2.52-7.82; p<0.001), hypertension (OR=1.36; CI=1.21-1.53; p<0.001), low high-density lipoprotein cholesterol (OR=2.35; CI=1.78-3.10; p<0.001), hypertriglyceridemia (OR=2.73; CI=1.95-3.83; p<0.001), metabolic syndrome (OR=2.35; CI=1.68-3.29; p<0.001), and diabetes (OR=1.99; CI=1.55-2.54; p<0.001), compared to controls. Multi-episode patients with schizophrenia were also at increased risk, compared to first-episode (p<0.001) and drug-naïve (p<0.001) patients, for the above abnormalities, with the exception of hypertension and diabetes. Our data provide further evidence supporting WPA recommendations on screening, follow-up, health education and lifestyle changes in people with schizophrenia.

Immunity, inflammation, and bipolar disorder: diagnostic and therapeutic implications

Bipolar disorder is now known to be associated not only with highly prevalent co-occurring psychiatric and substance use disorders but also with medical comorbidities, such as cardiovascular diseases, diabetes mellitus, obesity and thyroid dysfunction. Inflammatory disturbances repeatedly observed in bipolar disorder, can explain some of the comorbidity between bipolar disorder and medical disorder. This revised perspective of bipolar disorders should promote the development of therapeutic tools. Immuno-inflammatory dysfunction may well represent a significant component of the underlying pathophysiology of the disorder. We therefore propose to review the immuno-inflammatory hypothesis in bipolar disorder considering the co-occurence with autoimmune diseases, immunological and inflammatory markers, as well as immuno-genetic markers which could lead to personalized treatments.

Metabolic syndrome in schizophrenia: Differences between antipsychotic-naïve and treated patients

Metabolic syndrome (MetS) has been recognized as a risk factor for cardiovascular morbidity and mortality in general population and in patients with severe mental illnesses like schizophrenia. This paper reviews studies on MetS in schizophrenia and related psychotic disorders, and assesses the contribution of antipsychotics toward the development of MetS. Databases of Medline (PubMed), PsycINFO, and Scopus were searched for MetS, psychotic disorders, and antipsychotic drugs from inception till present. Prevalence of MetS in patients with schizophrenia was found to be ranging from 3.3% to 68.0%. Prevalence in antipsychotic-naïve and antipsychotic-treated patients ranged between 3.3-26.0% and 32.0-68.0% respectively, and was higher in younger patients, female gender and Hispanics, and lower in African-Americans and Orientals. Prevalence of metabolic abnormalities was higher in patients receiving second generation antipsychotics (SGAs), especially with clozapine, olanzapine, and risperidone, as compared to first generation antipsychotics (FGAs). Antipsychotic-induced changes on metabolic indices became evident after 2 weeks and reached maximum at 3 months of treatment. There is a need to sensitize the mental health professionals at all levels about the need of screening and monitoring for MetS in patients receiving antipsychotics.

Risk of developing diabetes mellitus and hyperlipidemia among patients with bipolar disorder, major depressive disorder, and schizophrenia: a 10-year nationwide population-based prospective cohort study

BACKGROUND

The high comorbidity of metabolic side effects with severe mental disorders (SMDs), including bipolar disorder (BD), major depressive disorder (MDD), and schizophrenia, had gained much attention, because the excess mortality of these patients is mainly due to physical illness. However, most of these studies were with cross-sectional study design, the time course of metabolic side effects and SMD cannot be elucidated without a cohort study.

METHOD

Using a nationwide database with a large sample size and a matched control cohort study design, we enrolled patients with SMDs but without diagnoses of and medications for DM and hyperlipidemia from 1996 to 2000, and followed them to the end of 2010. We compared them with age and gender-matched controls (1:4) for the incidence of DM and hyperlipidemia.

RESULTS

The identified cases were 367 patients with BD, 417 patients with MDD, and 1993 patients with schizophrenia, with average age of 45.3 ± 14.0, 46.5 ± 13.7, and 45.9 ± 12.3, respectively. The patients with BD and schizophrenia had increased risk of initiation of anti-diabetic medications (10.1% vs. 6.3%, p=0.012; 13.3% vs. 7.2% p<0.001; respectively), and anti-hyperlipidemia medications (15.8% vs.10.5%, p=0.004; 14.2% vs.12.1%, p=0.005; respectively) than the controls. After controlling age, gender, urbanization, and income, the Cox regression model showed significantly increased risk of initiation of anti-diabetic medications among patients with BD (hazard ratio (HR) of 1.702, 95% confidence interval (CI): 1.155-2.507) and schizophrenia (HR of1.793, 95% CI: 1.532-2.098). Increased risk of initiation of anti-hyperlipidemia medications was also noted among patients with BD (HR of 1.506, 95% CI: 1.107-2.047) and schizophrenia (HR of 1.154, 95% CI: 1.002-1.329). The patients with MDD did not show increased risk of initiation of these medications than the controls.

CONCLUSIONS

This first 10-year nationwide population-based prospective matched control cohort study showed increased risks of initiation of anti-diabetic and anti-hyperlipidemia medications among patients with BD and schizophrenia. No significant increased risk was noted among the patients with MDD.

Detection of metabolic syndrome in schizophrenia and implications for antipsychotic therapy : is there a role for folate?

In general, the presence of metabolic syndrome is associated with significant cardiovascular mortality and represents a growing public health concern in the USA. Patients with schizophrenia have a three times greater risk of death than the general population, with cardiovascular disease being the most common cause of this mortality. Use of atypical antipsychotics (AAPs) to treat schizophrenia contributes significantly to this cardiovascular risk. While several different clinical guidelines currently exist to monitor the metabolic consequences of AAP use, implementation is lacking. Because of under-monitoring of side effects and the lack of alternative treatment choices in schizophrenia, research has focused on identification of various biomarkers and pharmacogenomic targets to focus on the patients at greatest risk of metabolic syndrome, thus aiming to increase the efficacy and minimize the side effects of AAPs. This has led to several different lines of research. This review focuses on summarizing the differing metabolic syndrome criteria, monitoring guidelines for use of AAPs, and the role of folic acid as it relates to metabolic syndrome within the schizophrenia population. It concentrates not only on the pharmacogenomics of folic acid metabolism but also on its epigenetic interaction with the environment. From this work, genetic variation within both the methylenetetrahydrofolate reductase (MTHFR) gene and the catechol-O-methyltransferase (COMT) gene has been associated with an increased risk of metabolic syndrome in schizophrenia patients treated with AAPs. Furthermore, work on the combination of folate pharmacogenetics and epigenetics has uncovered relationships between methylation, schizophrenia disease, treatment type, and metabolic syndrome. Despite several areas of biomarker research into schizophrenia-related metabolic syndrome, translation into the clinical setting is still lacking, and further studies are needed to bridge this gap. In the future, folate supplementation may prove to be an easy and effective clinical tool for prevention and/or treatment of metabolic syndrome associated with AAP treatment, but clearly more research needs to be done in this area.

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.

Metabolic syndrome in schizophrenia

To review the data with respect to prevalence of metabolic syndrome (MetS) and its correlates in schizophrenia. For this review, electronic search engines PUBMED, Sciencedirect, and Google Scholar were used. Available data suggests that most of the studies have been of cross-sectional design. Prevalence rates of MetS have varied from 11% to 69% in medicated patients, and 4-26% in drug naive patients in cross-sectional evaluations. Longitudinal studies have shown the prevalence rates to range from 0% to 14% at the baseline in drug naive patients, which increase to as high as 52.4% by 3 months of antipsychotic medication treatment. The prevalence rates of MetS in patients with schizophrenia are much higher than that seen in general population or healthy controls. Though there is no causal association with any demographic or clinical variables, the risk increases with increase in age. Among antipsychotics, there seems to be an association between MetS and atypical antipsychotics like clozapine and olanzapine. Therefore, the psychiatrists should be more vigilant regarding the presence of MetS in these high risk groups. Research on biological correlates of MetS in schizophrenia is still in its primitive stage, however, these is some evidence to suggest an association of MetS with adiponectin levels, hematological indices, methylenetetrahydrofolate reductase (MTHFR) and Alpha-1A adrenergic receptor (ADRA1A) gene. These areas hold promise, and targeting these with appropriate interventions may help us to prevent the occurrence of MetS in patients with schizophrenia in future.

[Cardiovascular risk factors, cardiovascular risk and quality of life in patients with a severe mental disorder]

AIM

To determine the cardiovascular risk factors (CVRF), level of cardiovascular risk (CVR) and to analyse the relationship between CVR and quality of life in patients with severe mental illness (SMI).

DESIGN OF STUDY

Cross sectional study.

SETTING

Mental Health Service, Consorci Hospitalari de Vic (Barcelona).

SUBJECTS

Patients over 18 years diagnosed with SMI.

MAIN MEASUREMENTS

Data was collected on, socio-demographic variables, toxic habits, previous pathologies, family history of premature cardiovascular disease, psychiatric diagnoses, physical parameters and laboratory findings. The CVR was determined by the SCORE and REGICOR scales. Quality of life was measured by Euro-QoL and Seville Questionnaires.

RESULTS

A total of 137 patients with SMI were included; 64.9% female, and a mean age 51.1 years (SD 12.9). Major CVRF distribution: 40.1% smoking, 37.9% hypertension, 56.2% dyslipidemia, and 11.1% diabetes. The criteria for obesity and metabolic syndrome were met by 37.9% and 48.4% of the patients, respectively. The average major CVRF was 1.5 factors. The CVR was high in 4.6% of the sample by SCORE and in 5.4% by REGICOR. Neither the patients who accumulated more CVRF or those with high CVR scores showed a worse quality of life.

CONCLUSIONS

The most prevalent CVRF in patients with SMI are smoking and dyslipidemia, with a prevalence that exceeded population-based studies. The subgroup of depressive disorders showed a higher CVR and worse quality of life. No relationships were found between the CVR and the quality of life.

Metabolic syndrome and obsessive-compulsive disorder: a naturalistic Italian study

OBJECTIVE

The increased risk for metabolic syndrome (MetS) in individuals with schizophrenia and bipolar disorder has been documented. No study examined MetS in patients with obsessive-compulsive disorder (OCD), despite the fact that a great proportion of them are treated with antipsychotic addition. The aim of our study was to investigate the prevalence and the sociodemographic and clinical correlates of MetS in an Italian sample of patients with OCD.

METHOD

Subjects with Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision, OCD and a Yale-Brown Obsessive-Compulsive Scale score ≥ 16 were included. Sociodemographic and clinical characteristics, current and lifetime pharmacological treatments, lifestyle information, and comorbidity for cardiovascular diseases and diabetes were collected. MetS was diagnosed according to the National Cholesterol Education Program Adult Treatment Panel III modified criteria.

RESULTS

We enrolled 104 patients with OCD. MetS was present in 21.2% (95% confidence interval: 13.7%-30.3%) of the sample. Abdominal obesity was present in 36.5%, hypertension in 42.3%, high triglycerides in 23.1%, low high-density lipoprotein cholesterol levels in 22.1% and fasting hyperglycemia in 4.8% of the sample. MetS was associated with cigarette smoking (duration of cigarette smoking), absence of physical activity, a higher body mass index and a greater proportion of obesity. Among pharmacological treatments, MetS was associated with the duration of the exposure (lifetime) to antipsychotics.

CONCLUSIONS

This is the first study that examined the prevalence and correlates of MetS in a sample of patients with OCD. Our cross-sectional evaluation found a prevalence of MetS higher than those reported in the Italian general population, although the confidence interval encompasses the general population estimate reported. Patients with OCD on antipsychotic treatment are particularly at risk for MetS and should be carefully monitored for metabolic abnormalities and cardiovascular complications.

Prediabetic increase in hemoglobin A1c compared with impaired fasting glucose in patients receiving antipsychotic drugs

BACKGROUND

In 2010, the American Diabetes Association recommended that individuals with hemoglobin A1c 5.7-6.4% be classified as prediabetic even in the absence of impaired fasting glucose (IFG).

AIM OF STUDY

To compare the clinical and metabolic characteristics of patients receiving antipsychotic drugs who have normal glucose tolerance (NGT), hemoglobin A1c 5.7-6.4% or IFG (fasting glucose 100-125 mg/dL).

METHOD

Body mass index, waist circumference, fasting glucose, insulin, lipids, hemoglobin A1c, and insulin resistance assessed with the homeostatic model (HOMA-IR) were measured in a consecutive cohort of adult psychiatric inpatients with NGT (N = 423), hemoglobin A1c 5.7-6.4% (N = 130), IFG (N = 52) and IFG plus hemoglobin A1c 5.7-6.4% (n = 39).

RESULTS

The hemoglobin A1c 5.7-6.4% group had lower fasting insulin levels (9.8 ± 5.6 vs. 15.5 ± 11.4 μU/mL, p < 0.0001) and HOMA-IR (2.1 ± 1.2 vs. 4.1 ± 3.1, p < 0.0001) than the IFG group, but were metabolically similar to those with NGT. The hemoglobin A1c 5.7-6.4% was the predominant prediabetic pattern in patients treated with antipsychotics other than clozapine or olanzapine. Patients with hemoglobin A1c 5.7-6.4% and those with IFG were statistically similar in age (40.1 ± 13.6 vs. 39.7 ± 10.3 years), body mass index (26.0 ± 4.8 vs. 26.3 ± 4.9) and waist circumference 93.1 ± 13.9 vs. 98.1 ± 12.1 cm for males and 92.5 ± 13.5 vs. 90.7 ± 15.8 cm for females.

CONCLUSION

The hemoglobin A1c in the 5.7-6.4% range is common in euglycemic patients receiving antipsychotic drugs and this prediabetic pattern has metabolic and pharmacological features that differentiates it from IFG.

Algorithm-driven pharmacological management of bipolar disorder in Connecticut prisons

The objective of this study was to assess adaptation of the Texas Implementation of Medication Algorithm (TIMA) for bipolar disorder (BD) in the Connecticut Department of Correction. A nonrandomized sample of 20 males and 20 females, with diagnoses of BD Type I or II, was enrolled in the study. Two TIMA-trained psychiatrists treated the participants over a 12-week period following the TIMA protocol. The primary outcome measure was the Bipolar Disorder Symptom Scale. Secondary outcome measures evaluated global clinical status, comorbid symptomatology, and quality of life. Significant improvement was seen with the primary and secondary outcome measures (p < .001). Subanalyses showed differences in outcomes based on gender and whether a manic or depression algorithm was used. Antidepressant and antipsychotic medication use decreased, with increase in anticonvulsant and anxiolytic medication usage. This pilot study confirmed the effectiveness and benefits of TIMA for BD adaptation in the correctional setting.

The prevalence and mechanisms of metabolic syndrome in schizophrenia: a review

Metabolic syndrome (MetS), a constellation of central obesity, hypertension, dyslipidaemia and glucose intolerance, is highly prevalent in individuals with schizophrenia and conveys significant cardiovascular risk and mortality. Associated risk factors are female sex, some ethnic groups, advanced age, long duration of illness, smoking and exposure to antipsychotic agents. The prevalence of MetS varies across countries and psychiatric populations, and its development can be very rapid. Regular monitoring of all features of MetS is the cornerstone of its early detection and management. Future research needs to focus more on genetic determinants of MetS in the context of schizophrenic illness. This review aims to update the reader with the latest knowledge about the prevalence of MetS in schizophrenia and what might be the underlying pathophysiological mechanisms.

Can bipolar disorder be viewed as a multi-system inflammatory disease?

BACKGROUND

Patients with bipolar disorder are known to be at high risk of premature death. Comorbid cardio-vascular diseases are a leading cause of excess mortality, well above the risk associated with suicide. In this review, we explore comorbid medical disorders, highlighting evidence that bipolar disorder can be effectively conceptualized as a multi-systemic inflammatory disease.

METHODS

We conducted a systematic PubMed search of all English-language articles recently published with bipolar disorder cross-referenced with the following terms: mortality and morbidity, cardio-vascular, diabetes, obesity, metabolic syndrome, inflammation, auto-antibody, retro-virus, stress, sleep and circadian rhythm.

RESULTS

Evidence gathered so far suggests that the multi-system involvement is present from the early stages, and therefore requires proactive screening and diagnostic procedures, as well as comprehensive treatment to reduce progression and premature mortality. Exploring the biological pathways that could account for the observed link show that dysregulated inflammatory background could be a common factor underlying cardio-vascular and bipolar disorders. Viewing bipolar disorder as a multi-system disorder should help us to re-conceptualize disorders of the mind as "disorders of the brain and the body".

LIMITATIONS

The current literature substantially lacks longitudinal and mechanistic studies, as well as comparison studies to explore the magnitude of the medical burden in bipolar disorder compared to major mood disorders as well as psychotic disorders. It is also necessary to look for subgroups of bipolar disorder based on their rates of comorbid disorders.

CONCLUSIONS

Comorbid medical illnesses in bipolar disorder might be viewed not only as the consequence of health behaviors and of psychotropic medications, but rather as an early manifestation of a multi-systemic disorder. Medical monitoring is thus a critical component of case assessment. Exploring common biological pathways of inflammation should help biomarkers discovery, ultimately leading to innovative diagnostic tools, new methods of prevention and personalized treatments.

Antipsychotic agents: efficacy and safety in schizophrenia

Antipsychotics have provided a great improvement in the management of people with schizophrenia. The first generation antipsychotics could establish the possibility of managing many psychotic subjects in an outpatient setting. With the advent of the second (SGA) and third generation antipsychotics (TGA), other psychiatric disorders such as bipolar depression, bipolar mania, autism, and major depressive disorder have now been approved for the use of these drugs for their treatment. Also, the administration of more specific assessment tools has allowed for better delineation of the repercussions of these drugs on symptoms and the quality of life of patients who use antipsychotic agents. In general, the SGA share similar mechanisms of action to achieve these results: dopamine-2 receptor antagonism plus serotonin-2A receptor antagonism. The TGA (eg, aripiprazole) have partial agonist activity at the dopamine-2 receptor site, and are also called dopaminergic stabilizers. The pharmacological profile of SGA and TGA may provide better efficacy against negative symptoms, and are less likely to produce extrapyramidal symptoms; however, the SGA and TGA are associated with many other adverse events. The clinician has to balance the risks and benefits of these medications when choosing an antipsychotic for an individual patient.

Comparative effectiveness of switching antipsychotic drug treatment to aripiprazole or ziprasidone for improving metabolic profile and atherogenic dyslipidemia: a 12-month, prospective, open-label study

We studied the effects of switching antipsychotic drug-treated patients with schizophrenia or bipolar disorder who evidenced adverse metabolic side effects as indicated by a triglyceride/high-density lipoprotein ratio (TG/HDL) ≥ 3.5 to aripiprazole (ARIP; 5-30 mg/day, n = 24) or ziprasidone (ZIP; 40-160 mg/day, n = 28). Anthropometric and metabolic measures, psychopathology, quality of life and motor adverse effects were assessed over a 52-week period with evaluations at baseline, 6, 12, 26 and 52 weeks. There were statistically significant improvements in body weight, body mass index (BMI), TG, HDL and TG/HDL which did not differ between treatments. However, numerous secondary measures including weight and BMI, and the proportion of patients who lost ≥ 7% or who no longer met criteria for obesity, favored ZIP over ARIP. Decreases in total cholesterol and increases in HDL-cholesterol also favored ZIP. On the other hand, decreases in TG/HDL ratio and reduction in HgbA1c favored ARIP. There were no significant time or group × time interaction effects for most psychopathology measures; however, Global Assessment of Functioning Scores favored ARIP at 6 and 12 months. We conclude that switching patients with evidence of metabolic side effects to either ARIP or ZIP may be beneficial for some, but not all metabolic measures, with minimal risk of worsening of psychopathology and possibly some benefit in that regard as well.

Sequential behavioral treatment of smoking and weight control in bipolar disorder

People with severe mental illnesses like schizophrenia and bipolar disorder (BPAD) live significantly shorter lives than people in the general population and most commonly die of cardiovascular disease (CVD). CVD risk behaviors such as smoking are not routinely assessed or assertively treated among people with a severe mental illness. This article provides an illustrative case example of a woman with BPAD who is motivated to quit smoking, despite concerns about weight gain and relapse to depression. It outlines key considerations and describes the patient's experience of participating in a behavioral intervention focussing first on smoking, then diet and physical activity. Clinical challenges encountered during treatment are discussed in the context of relevant literature. These include motivational issues, relapse to depression, medication interactions, weight gain, addressing multiple health behavior change, focussing on a behavioral rather than cognitive approach, collaborating with other health care providers, and gender issues.

Second generation antipsychotics in the treatment of bipolar depression: a systematic review and meta-analysis

Depressive symptoms and episodes dominate the course of bipolar disorder. However, the therapeutic armamentarium for bipolar depression is limited. Recent evidence points to the efficacy of second generation antipsychotics (SGAs) for the treatment of bipolar depression. We conducted a systematic review and meta-analysis of the efficacy and safety of SGAs (randomized, double-blind, placebo-controlled trials; used in monotherapy) in the treatment of adult patients with bipolar depression. Publication bias was corrected for by performing similar searches using the clinical trials register of the respective pharmaceutical companies, the Cochrane Database and ClinicalTrials.gov. Seven published papers were identified on the use of aripiprazole, olanzapine and quetiapine. Internal validity of the trials was fairly good, external validity only moderate. Different outcome measures of efficacy and safety were assessed. When the individual trials were looked at, quetiapine and to a lesser extent olanzapine demonstrated significant improvement in MADRS (Montgomery-Åsberg Depression Rating Scale) total scores. This was not demonstrated for aripiprazole. Efficacy was hampered by adverse events, such as weight gain, akathisia and somnolence/sedation. Both clinical heterogeneity of the included trials and statistical heterogeneity of the meta-analytic data were considerable. The number of quetiapine trials was disproportionate to the number of trials of aripiprazole and olanzapine. Further research is needed to assess differential efficacy of the different SGAs and their use in clinical practice.

Overweight and obesity in patients with bipolar disorder or schizophrenia compared with a non-psychiatric sample

OBJECTIVE

Multiple studies suggest an association of overweight and obesity with bipolar disorder (BD) and schizophrenia. The goal of this paper was to determine the magnitude of this association and its relationship with previous course-of-illness and other variables of clinical interest.

METHODS

The prevalence of overweight and obesity was compared among patients with BD (n=108), patients with schizophrenia (n=250) and a non-psychiatric control group (n=290). Moreover, within each group we analyzed the variables associated with overweight [including obesity, i.e., body mass index (BMI) ≥25] and obesity (BMI≥30) adjusting for a possible confounding effect of sex, age and educational level by logistic regression.

RESULTS

In comparison with the non-psychiatric sample, a strong association of both BMI≥25 and obesity was observed with BD and schizophrenia (adjusted odds ratios between 3.4 and 4.6; P-values <0.001). Overweight was significantly associated with male sex and increasing age in both control and BD groups; and with female sex among schizophrenia patients. Moreover, for BD patients, earlier onset of first BD symptoms, presence of a non-psychiatric illness, current use of mood-stabilizing medication, and being a non-smoker were significantly associated with overweight; and male sex and the presence of a non-psychiatric illness, with obesity. Within the schizophrenia patients, obesity was significantly associated with female sex, intermediate age range and lower PANSS score.

CONCLUSIONS

Among patients with BD or schizophrenia, the chronic course of their illness and their current treatment with psychotropic medication might be more relevant for becoming overweight or obese than the specific psychiatric illness.

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.

Ziprasidone and the corrected QT interval: a comprehensive summary of clinical data

BACKGROUND

Prolongation of the corrected QT interval (QTc) is understood to be a predictor of risk for ventricular arrhythmia; consequently, data on QTc effects of drugs are used by regulatory bodies to evaluate potential safety risks. Clinical pharmacology studies in adults receiving oral ziprasidone demonstrated a dose-dependent mean increase (4.5-19.5 milliseconds [ms]) in QTc over the range of 40-160 mg/d with a small incremental increase (22.5 ms) at 320 mg/d. In a comparative study of ziprasidone versus five antipsychotics, the mean QTc increase at steady state maximum concentration (C(max)) for ziprasidone was 15.9 ms. Accordingly, the effects of ziprasidone on QTc were studied in phase II-IV randomized controlled trials (RCTs).

OBJECTIVE

The objective of this study was to provide clinicians and clinical researchers with a comprehensive analysis of QTc changes associated with ziprasidone based on data from Pfizer-sponsored phase II-IV RCTs in schizophrenia or bipolar disorder patients, safety reports and post-marketing surveillance.

METHODS

The following analyses of data were conducted to obtain a comprehensive summary of QTc data on ziprasidone: (i) post hoc analyses (using primarily descriptive statistics) of pooled QTc data (Fridericia correction) from more than 40 phase II-IV adult ziprasidone RCTs organized according to the following subgroups: all monotherapy studies in schizophrenia and bipolar disorder, all intramuscular (IM) studies, adjunctive studies in bipolar disorder and fixed-dose oral studies; (ii) post hoc analyses from 36 phase II-IV adult ziprasidone RCTs exploring the relationship between QTc change from baseline and baseline QTc in adults; (iii) post hoc analyses from phase II-IV adult ziprasidone RCTs modelling QTc change as a function of ziprasidone concentration in both adult (17 studies) and paediatric (5 studies) subjects; (iv) cardiac adverse event (AE) reports from all phase II-IV adult ziprasidone RCTs in schizophrenia; (v) a large simple trial entitled Ziprasidone Observational Study of Cardiac Outcomes (ZODIAC) in 18 154 subjects with schizophrenia (the only previously reported results included here); and (vi) cardiac-related AEs presented in a ziprasidone post-marketing surveillance report created in 2007.

RESULTS

A total of 4306 adults received ziprasidone in placebo- and active-comparator phase II-IV RCTs and had evaluable QTc data. One subject reached a QTc ≥480 ms; 33 (0.8%) had a QTc ≥450 ms. QTc prolongation ≥30 ms was observed in 389 subjects (9.0%); ≥60 ms in 30 (0.7%); and ≥75 ms in 12 (0.3%). In the placebo-controlled studies, mean change in QTc from baseline to end of study was 3.6 (± 20.8) ms in the ziprasidone group; the corresponding QTc change in the pooled placebo group was -0.3 (± 20.6) ms. Data from IM studies, and bipolar studies in which ziprasidone was used adjunctively with lithium, valproate or lamotrigine, demonstrated similar QTc effects. A scatter-plot of QTc prolongation against baseline QTc showed QTc prolongation ≥60 ms exclusively in adult subjects with a baseline QTc ≤400 ms. The final concentration-response analysis model, comprising 2966 data points from 1040 subjects, estimates an increase in QTc of 6 ms for each 100 ng/mL increase in ziprasidone concentration. The large simple trial (ZODIAC) failed to show that ziprasidone is associated with an elevated risk of non-suicidal mortality relative to olanzapine in real-world use. Post-marketing data over a 5-year period did not show a signal of increased cardiac AEs.

CONCLUSIONS

These analyses provide the first comprehensive summary of QTc changes associated with ziprasidone based on Pfizer-sponsored phase II-IV RCTs, safety reports and post-marketing surveillance. The results of the analyses of pooled data from phase II-IV RCTs in adults demonstrate a modest mean increase in QTc, infrequent QTc prolongation ≥60 ms (<1.0%) and rare observation of QTc ≥480 ms. These data are consistent with results from ziprasidone clinical pharmacology studies, safety reports and post-marketing surveillance. Taken together, they provide the most comprehensive evidence published to date that ziprasidone appears to be safe when used as indicated in patients with schizophrenia or bipolar disorder.

Metabolic syndrome in bipolar disorders

To review the data with respect to prevalence and risk factors of metabolic syndrome (MetS) in bipolar disorder patients. Electronic searches were done in PUBMED, Google Scholar and Science direct. From 2004 to June 2011, 34 articles were found which reported on the prevalence of MetS. The sample size of these studies varied from 15 to 822 patients, and the rates of MetS vary widely from 16.7% to 67% across different studies. None of the sociodemographic variable has emerged as a consistent risk factor for MetS. Among the clinical variables longer duration of illness, bipolar disorder- I, with greater number of lifetime depressive and manic episodes, and with more severe and difficult-to-treat index affective episode, with depression at onset and during acute episodes, lower in severity of mania during the index episode, later age of onset at first manic episode, later age at first treatment for the first treatment for both phases, less healthy diet as rated by patients themselves, absence of physical activity and family history of diabetes mellitus have been reported as clinical risk factors of MetS. Data suggests that metabolic syndrome is fairly prevalent in bipolar disorder patients.

Prevalence of metabolic syndrome in bipolar disorder: an exploratory study from North India

PURPOSE

To study the prevalence of metabolic syndrome in patients with bipolar disorder.

MATERIAL AND METHOD

By using purposive random sampling 200 patients with bipolar disorder receiving treatment were evaluated for presence of metabolic syndrome using International Diabetes Federation (IDF) and modified National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III) criteria.

RESULTS

Eighty patients fulfilled IDF criteria and 82 patients met NCEP ATP-III criteria for metabolic syndrome. There was significant concordance between these two criteria sets for metabolic syndrome (Kappa value 0.979, p<0.015). Among the individual parameters studied--increased waist circumference (70.1%) was the most common abnormality, followed by increased blood pressure (44.5%) and increased triglycerides levels (42%). Compared to patients without metabolic syndrome, patients with metabolic syndrome had significantly higher body mass index and higher percentage of them (74.4% vs 51.7%) were more than 35 years of age. Logistic regression analysis revealed that these two variables significantly predicted metabolic syndrome.

CONCLUSION

Findings of the present study suggest that abdominal obesity is the most common abnormality and metabolic syndrome is best predicted in patients with bipolar disorder by higher age and higher body mass index.

Bipolar disorder and adiposity: a study using whole body dual energy X-ray absorptiometry scans

Williams LJ, Pasco JA, Jacka FN, Henry MJ, Dodd S, Nicholson GC, Kotowicz MA, Berk M. Bipolar disorder and adiposity: a study using whole body dual energy X-ray absorptiometry scans.

Objective:Previous research has demonstrated a relationship between adiposity and bipolar disorder, although data are derived predominantly from patient samples and use indirect methods of assessing adiposity. This study investigated the association between bipolar disorder and several indices of adiposity, including body fat mass as measured by dual energy X-ray absorptiometry (DXA), in a community-based sample.

Methods:In this study, 21 women with bipolar disorder and 523 healthy controls were drawn from an age-stratified, random, community-based sample of women (20–93 years) participating in the Geelong Osteoporosis Study. Bipolar disorder was diagnosed utilising a semi-structured clinical interview. Anthropometric measurements (weight, height, waist and hip circumference) were taken and fat mass was determined from whole body DXA scans (Lunar DPX-L).

ResultsThose with bipolar disorder tended to have greater adiposity. Age-adjusted mean (95% CI) values for bipolar versus controls according to adiposity indices were weight 75.6 (68.9–82.3) versus 72.6 (71.3–74.0) kg, waist circumference 89.8 (84.1–95.6) versus 87.3 (86.1–88.5) cm, waist:hip ratio 0.85 (0.82–0.87) versus 0.84 (0.83–0.84), body mass index 27.6 (25.1–30.1) versus 27.5 (27.0–28.0) kg/m2, fat mass 31.4 (26.5–36.3) versus 28.6 (27.5–29.5) kg and %body fat 40.4 (36.9–43.9) versus 38.0 (37.3–38.7)%; allp> 0.05. Further adjustment for height, smoking, alcohol, psychotropic medication, energy intake or physical activity did not influence these patterns.

ConclusionAlthough a pattern suggestive of greater adiposity among those with bipolar disorder was observed, no significant differences were detected. We cannot exclude the possibility of a type II error. Further research with a larger sample may produce more conclusive results.

Prevalence of the metabolic syndrome in Danish psychiatric outpatients treated with antipsychotics

BACKGROUND

The incidence of the metabolic syndrome, a major risk factor for diabetes and cardiovascular disease, is increasing worldwide and is suggested to be higher among psychiatric patients, especially those on antipsychotic treatment.

AIMS

To assess the prevalence of the metabolic syndrome in Danish psychiatric outpatients and compare it with the general population.

METHODS

In a cross-sectional, observational study in 2007-08, 170 Danish outpatients on antipsychotic drug treatment were monitored for the prevalence of the metabolic syndrome based on the International Diabetes Federation (IDF) definition and compared with a general population group of 3303 randomly selected Danes.

RESULTS

Of the antipsychotic-treated patients 48.2% fulfilled the IDF criteria for the metabolic syndrome, compared with 29.6% of the general population. The antipsychotic-treated patients had higher rates of increased waist circumference, triglyceride and glucose levels, and lower high-density lipoprotein cholesterol. Compared with the general population, the odds ratio (OR) of the metabolic syndrome among antipsychotic-treated patients was 2.2. After adjustment for age and sex, the OR increased to 2.7. In the antipsychotic-treated group, statistically different rates of the metabolic syndrome for patients in monopharmacy vs. polypharmacy, and for patients in monotherapy with first-generation vs. second-generation antipsychotics, could not be found.

CONCLUSION

The metabolic syndrome is highly prevalent among a Danish outpatient population treated with antipsychotics compared with the general population. Monitoring of lipid and glucose levels, blood pressure and waist circumference before start-up and during treatment with antipsychotic medication is of pivotal importance in order to prevent diabetes and cardiovascular disease in this patient population.

Better understanding of mechanisms of schizophrenia and bipolar disorder: from human gene expression profiles to mouse models

The molecular mechanisms of major mental illnesses, such as schizophrenia and bipolar disorder, are unclear. To address this fundamental question, many groups have studied molecular expression profiles in postmortem brains and other tissues from patients compared with those from normal controls. Development of unbiased high-throughput approaches, such as microarray, RNA-seq, and proteomics, have supported and facilitated this endeavor. In addition to genes directly involved in neuron/glia signaling, especially those encoding for synaptic proteins, genes for metabolic cascades are differentially expressed in the brains of patients with schizophrenia and bipolar disorder, compared with those from normal controls in DNA microarray studies. Here we propose the importance and usefulness of genetic mouse models in which such differentially expressed molecules are modulated. These animal models allow us to dissect the mechanisms of how such molecular changes in patient brains may play a role in neuronal circuitries and overall behavioral phenotypes. We also point out that models in which the metabolic genes are modified are obviously untested from mental illness viewpoints, suggesting the potential to re-address these models with behavioral assays and neurochemical assessments.

Metabolic effects and cost-effectiveness of aripiprazole versus olanzapine in schizophrenia and bipolar disorder

OBJECTIVE

To assess the cost-effectiveness of aripiprazole versus olanzapine in the treatment of patients with schizophrenia or bipolar disorder in Sweden with focus on the metabolic impact of the treatments.

METHOD

A Markov health-state transition model was developed. The risks of developing metabolic syndrome after one year of treatment with aripiprazole or olanzapine were derived from a pooled analysis of three randomised clinical trials. The subsequent risks of developing diabetes or coronary heart disease were based on previously published risk models. A societal perspective was applied, adopting a lifetime horizon. Univariate and probabilistic sensitivity analyses were conducted.

RESULTS

Treatment with aripiprazole dominates over olanzapine in both schizophrenia and bipolar disorder. In schizophrenia, quality-adjusted life-years (QALYs) gained were 0.08 and cost savings Swedish kronor (SEK) 30,570 (USD 4000); in bipolar disorder, QALYs gained were 0.09 and cost savings SEK 28,450 (USD 3720). In probabilistic sensitivity analyses, aripiprazole resulted in a dominant outcome in 84% of cases in schizophrenia and in 77% of cases in bipolar syndrome.

CONCLUSION

The significantly lower risk of developing metabolic syndrome observed with aripiprazole compared with olanzapine is associated with less risk of diabetes and cardiovascular morbidity and mortality that translates into lower overall treatment cost and improved quality of life over time.

Metabolic syndrome and serum homocysteine in patients with bipolar disorder and schizophrenia treated with second generation antipsychotics

There is accumulating evidence for an increased prevalence of metabolic syndrome (MetS) in bipolar patients, which is comparable to the prevalence of MetS in patients with schizophrenia. Hyperhomocysteinaemia has emerged as an independent and graded risk factor for the development of cardiovascular disease (CVD), which is, at the same time, the primary clinical outcome of MetS. The aim of this study was to ascertain if the presence of MetS was associated with hyperhomocysteinaemia in patients with bipolar disorder (N=36) and schizophrenia (N=46) treated with second-generation antipsychotics (SGA). MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III) criteria and the cut-off point for hyperhomocysteinaemia was set up at 15 μmoll(-1). Results of the study indicated that the presence of the MetS is statistically significantly associated with the elevated serum homocysteine in all participants. As hyperhomocysteinaemia has emerged as an independent risk factor for psychiatric disorder and CVD, it could be useful to include fasting homocysteine serum determination in the diagnostic panels of psychiatric patients to obtain a better assessment of their metabolic risk profile.

The metabolic syndrome and its constituting variables in atypical antipsychotic-treated subjects: comparison with other drug treatments, drug-free psychiatric patients, first-degree relatives and the general population in Venezuela

BACKGROUND

Few studies on the association between atypical antipsychotic drug (AAP) administration and metabolic dysfunction have concurrently evaluated the general population (GP), other psychotropic drug treatments and drug-free psychiatric patients.

METHODS

We assessed the frequency of the metabolic syndrome (MS) according to the National Cholesterol Education Program criteria (NCEP) and its constituting variables in a GP sample (n=271) and in patients receiving, for at least three consecutive months, antiepileptic drugs (n=93), olanzapine (n=162), clozapine (n=105), typical antipsychotics (n=117), other AAP (n=58), other psychotropic drugs (n=185), and drug-free individuals (n=636). Subjects were clinically classified as schizophrenia, bipolar or other axis I disorders (DSM-IV-RT), and as first-degree relatives of each diagnostic group.

RESULTS

The MS was detected in 26.6% of the GP (95% confidence interval: 21.5-31.8). No diagnostic or treatment group had a significantly higher age-adjusted frequency than the GP (p>0.05). Treatment duration did not significantly affect the results. However, significant differences were observed in the frequency of abnormal MS constituting variables in comparison to the GP. For example, schizophrenia patients and their relatives, bipolar subjects and olanzapine- and clozapine-treated patients had higher abnormal waist circumference values. In addition, bipolar patients and their relatives and subjects treated with olanzapine and other AAPs had higher frequencies of abnormal glucose levels. Neither schizophrenia nor bipolar patients in the diagnostic categories nor the olanzapine or the clozapine groups displayed higher proportions of abnormal triglycerides, high density cholesterol or blood pressure levels than the GP.

CONCLUSIONS

While we did not demonstrate an increased frequency of the MS in AAP-treated subjects, our results confirm that specific metabolic variables must be monitored in psychiatric patients. Besides they stress the importance, in epidemiological studies, of concurrently comparing the figures recorded in AAP-treated patients with those obtained in the local GP, other drug treatment groups and drug-free subjects when referring to the magnitude of the metabolic effects of specific antipsychotic agents.

Metabolic syndrome and bipolar disorder: what should psychiatrists know?

This paper reviews the association between bipolar disorder (BD) and metabolic syndrome (MetS), focusing on the etiopathogenetic and pathophysiological aspects of this association and on the recommendations for preventing and managing MetS in patients with BD. We conducted a nonsystematic literature review by means of a MEDLINE search. The exact causal relationship between MetS and BD is still uncertain. The side effects of psychotropic medications may be a major contributor to the increased rates of MetS in patients with BD. Other factors such as unhealthy lifestyles, common neuroendocrine and immuno-inflammatory abnormalities, and genetic vulnerability may also play a role in explaining the high rates of MetS in BD. Strategies to prevent and treat the MetS and its cardiovascular consequences in patients with BD include accurate screening and monitoring of the patient and appropriate psychoeducation on weight control, healthy nutrition, and increased physical activity. When deciding on pharmacological therapy for the treatment of the components of the MetS, drug interactions and the effects of the medications on mood must be taken into account.

Physical illness in patients with severe mental disorders. I. Prevalence, impact of medications and disparities in health care

The lifespan of people with severe mental illness (SMI) is shorter compared to the general population. This excess mortality is mainly due to physical illness. We report prevalence rates of different physical illnesses as well as important individual lifestyle choices, side effects of psychotropic treatment and disparities in health care access, utilization and provision that contribute to these poor physical health outcomes. We searched MEDLINE (1966 - August 2010) combining the MeSH terms of schizophrenia, bipolar disorder and major depressive disorder with the different MeSH terms of general physical disease categories to select pertinent reviews and additional relevant studies through cross-referencing to identify prevalence figures and factors contributing to the excess morbidity and mortality rates. Nutritional and metabolic diseases, cardiovascular diseases, viral diseases, respiratory tract diseases, musculoskeletal diseases, sexual dysfunction, pregnancy complications, stomatognathic diseases, and possibly obesity-related cancers are, compared to the general population, more prevalent among people with SMI. It seems that lifestyle as well as treatment specific factors account for much of the increased risk for most of these physical diseases. Moreover, there is sufficient evidence that people with SMI are less likely to receive standard levels of care for most of these diseases. Lifestyle factors, relatively easy to measure, are barely considered for screening; baseline testing of numerous important physical parameters is insufficiently performed. Besides modifiable lifestyle factors and side effects of psychotropic medications, access to and quality of health care remains to be improved for individuals with SMI.

The prevalence and clinical correlates of metabolic syndrome in patients with schizophrenia: findings from a cohort in Turkey

Most studies point to an increased prevalence of metabolic syndrome (MS) and an increased risk of coronary heart disease (CHD) in schizophrenia patients with MS. The aims of this study were to compare the prevalence of MS in schizophrenia patients with the general population, to explore the clinical correlates and predictors of MS and to evaluate the risk for CHD within 10 years. Consecutive 319 patients, aged 18-75 years, with a diagnosis of schizophrenia according to the DSM-IV were enrolled. The ATP-III, the ATP-IIIA and the IDF criteria were used to define MS. 10-year risk of CHD events was calculated with the Framingham score. One hundred nine (34.2%) patients met the ATP-III criteria, 118 (37%) the ATP-IIIA and 133 (41.7%) the IDF criteria for MS. Patients with MS were older, had a later onset of illness and an older age at first hospitalization. The prevalence of MS in schizophrenia patients was higher from the general population only within the 20-29 age group. Patients with MS had a higher age and sex-corrected 10-year risk of CHD events. The only predictor of MS was the age of illness onset. In conclusion, countries where the general population prevalence of MS is already too high, schizophrenia patients younger than 30 years of age might be under higher risk of morbidity and mortality related with MS. This study points to the necessity for aggressive interventions to correct MS in schizophrenia as early as possible, within the first 10 years of post detection.

Prevalence of metabolic syndrome in bipolar patients initiating acute-phase treatment: a 6-month follow up

AIMS

To evaluate the prevalence of metabolic syndrome (MetS) and its correlates in patients with bipolar disorder (BD) during acute-phase treatment in southern China.

METHODS

This study included 148 BD patients presenting with acute mood symptoms and 65 healthy controls at entry. Sociodemographic characteristics were noted for all participants. For patients, lifestyle information (alcohol, smoking, and exercise habits) and clinical characteristics were also collected. Patients were followed up for 6 months after the commencement of pharmacological treatment. Using the Chinese Medical Association Diabetes Branch criteria, MetS prevalence rates were calculated at entry and recalculated for patients at months 1, 3, and 6.

RESULTS

At baseline, MetS was presented in 11.5% of the patients; overweight, 34.5%; low high-density lipoprotein cholesterol, 15.5%; hypertriglyceridemia, 29.1%; hypertension, 14.9%; and hyperglycemia, 5.4%. Compared with controls, the patients had a significantly higher prevalence of MetS and all its components except for hyperglycemia (P < 0.05). In the regression analysis, history of hypertension, presence of diabetes, and alcohol drinking were associated with MetS. During the follow-up period, rates of MetS and overweight increased gradually and stably, hypertriglyceridemia and low high-density lipoprotein cholesterol increased significantly in the first month and then remained stable, and hypertension and hyperglycemia remained stable all the time.

CONCLUSIONS

These data show that MetS is highly prevalent in Chinese BD patients. Weight gain and dyslipidemia result from a short period of treatment. Early interventions for weight gain and dyslipidemia are warranted.

Bipolar disorder and metabolic syndrome: an international perspective

INTRODUCTION

The ubiquity and hazards posed by abnormal body composition and metabolic parameters in the bipolar population are a priority research and clinical issue. Herein, we summarize and synthesize international studies describing the rate of US National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III [ATP III])- and International Diabetes Federation (IDF)-defined metabolic syndrome and its criterion components in individuals with bipolar disorder.

METHODS

We conducted a PubMed search of all English-language articles published between January 2005 and July 2009 with the following search terms: metabolic syndrome and bipolar disorder, mania and manic-depression. Articles selected for review were based on adequacy of sample size, the use of standardized experimental procedures, validated assessment measures, and overall manuscript quality.

RESULTS

The rate of metabolic syndrome in individuals with bipolar disorder is increased relative to the general population. Disparate estimates are reported ranging from comparability to approximately twofold greater than the general population. The increased hazard for metabolic syndrome amongst bipolar individuals is now documented in twelve countries from Europe, Australia, Asia, North and South America. The co-occurrence of metabolic syndrome in the bipolar population is associated with a more complex illness presentation, less favourable response to treatment, and adverse course and outcome. The association between metabolic syndrome and bipolar disorder is mediated/moderated by both iatrogenic and non-iatrogenic factors.

DISCUSSION

The increased hazard for metabolic syndrome in bipolar populations is due to the clustering of traditional (and emerging) risk factors as well as iatrogenic and health systems factors. Extant data support recommendations for prioritizing, surveillance, prevention, diagnosis and management of metabolic syndrome as routine care of the bipolar patient.

Metabolic syndrome in severe mental disorders

The concept of metabolic syndrome in psychiatry provides a united front for confronting a series of metabolic changes that are predictive of cardiovascular disease (CVD) and type 2 diabetes mellitus (T2DM), which are highly prevalent in severe mental disorders (SMDs), such as schizophrenia, bipolar disorders, and severe depression. This review attempts to answer the following questions: (1) Is there evidence of significantly increased risk of metabolic syndrome in SMDs? (2) How is this evidence explained by stress theory and functional polymorphism? (3) What role can psychopharmacology and psychosocial therapies play in minimizing the problem? We have done a historical review using related literature from Medline. Compared with the general population, metabolic syndrome is two to three times more common in SMDs. The evidence for this predates the era of antipsychotic drugs. Altered glucose metabolism and dyslipidemia seem to be integral to SMDs. However, major psychotropic drugs are associated with metabolic syndrome, because of their activity at the appetite-stimulating receptors. SMDs seem to trigger a pathogenic cycle that fuels metabolic syndrome. To explain these findings, a neural diathesis-stress model has been proposed. Furthermore, candidate genes associated with receptors for weight gain are implicated. Using metformin (≥750 mg/day) may significantly reduce metabolic risks, and the data support consideration of this intervention for psychiatric patients taking antipsychotics. The obstacles to the implementation of the available guidelines for monitoring metabolic effects and changing unhelpful lifestyles need to be overcome by making monitoring mandatory and integration of physical exercise into routine care. Drug development and genotyping for the risk factors are future solutions.

Patients taking medications for bipolar disorder are more prone to metabolic syndrome than Korea's general population

Despite growing concerns about the co-morbidity of metabolic syndrome (MetS) and bipolar disorder, few studies have been conducted on this topic in Asian populations. This study examined Korean patients with bipolar disorder to assess its co-morbidity with MetS and to compare the prevalence of MetS in patients with medication for bipolar disorder with that of healthy patients. We used cross-sectional data from the medical records of patients with bipolar disorder who presented to the psychiatric clinic in Seoul National University Hospital between June 2007 and June 2008. The control group, matched for age and gender, was randomly drawn from visitors to the Health Promotion Center at the same hospital during the same period. We compared the prevalence of MetS between these two groups with independent sample t-tests and chi-squared tests. We also calculated the indirectly standardized prevalence ratio (ISPR) with a standardization that used the Fourth Korean National Health and Nutrition Examination Survey (KNHNES, 2007). The prevalence of MetS in patients who took medication for bipolar disorder (N=152) was 27.0%, 25.0% and 25.7%, based on the definitions of the American Heart Association and the National Heart, Lung and Blood Institute's adaptation of the Adult Treatment Panel III (AHA), the National Cholesterol Education Program for Adult Treatment Panel III (ATPIII) and the International Diabetes Federation (IDF), respectively. The present study determined that the prevalence of MetS was significantly higher in patients with bipolar disorder than in the control group; the odds ratios (OR) (95% CI) were 2.44 (1.35-4.40), 2.48 (1.34-4.59) and 2.57 (1.40-4.74), based on the definition of the AHA, ATPIII and IDF, respectively. The ISPR (95% CI) was 1.48 (1.02-1.93), 1.54 (1.05-2.03) and 1.98 (1.36-2.60), respectively. Patients with medications for bipolar disorder showed a significantly higher prevalence of increased waist circumference, elevated triglycerides, and reduced HDL-cholesterol than the control group. The prevalence of MetS in patients taking medication for bipolar disorder was higher than that in the general population. Obesity and dyslipidemia were particularly prevalent in patients with bipolar disorder.