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

General Factors That Reduce Cardiovascular Risk in People With Schizophrenia: A Systematic Review

BACKGROUND

The life expectancy of individuals with schizophrenia in the United States is 20% shorter than that of the general population owing to cardiovascular disease (CVD). It is crucial to identify the factors that reduce CVD risk in these individuals.

OBJECTIVE

In this systematic review, we examined the factors associated with CVD in people with schizophrenia.

METHODS

We searched 3 electronic databases for English articles published before April 2023. Investigators assessed the factors associated with 2 cardiovascular health outcomes among people with schizophrenia: the 10-year coronary heart disease (CHD)/CVD risk and peak oxygen uptake (VO 2Peak/max ).

RESULTS

We retrieved 17 studies from the search. Investigators examined factors affecting 10-year CHD/CVD risk in 11 studies and VO 2Peak/max in 6 studies among people with schizophrenia. We found that individuals who had low metabolic symptoms (ie, hypertension and hyperglycemia), did not smoke, engaged in continuous CVD risk assessments, had a shorter duration of the diagnosis and hospitalization, and were of normal weight had a lower 10-year CHD/CVD risk. Furthermore, individuals who engaged in specific physical activity had a higher VO 2Peak/max . Finally, those taking antipsychotic medications had a higher 10-year CHD/CVD risk and a lower VO 2Peak/max .

CONCLUSIONS

The CVD risk factors observed in the general population are common among people with schizophrenia. When these risk factors are controlled, the 10-year CHD/CVD risk and VO 2Peak/max of these individuals may be improved. Given the elevated CVD risk associated with antipsychotic medications, future researchers should examine modifying CVD risk factors to mitigate the additional risks associated with medication use in this population.

Effectiveness of Short-Term Lifestyle Modification on Reducing Body- Weight-Related Parameters in Persons with Severe Mental Illness: A Randomized Controlled Trial

Background

Persons with severe mental illness (SMI) reportedly have a high mortality rate due to metabolic syndrome (MS). However, lifestyle modification (LM) offers effective management of some components of MS. This study aimed to evaluate the effectiveness of LM in reducing body-weight-related parameters in SMIs.

Method

Eighty participants with SMI were assigned randomly to either LM (n = 40) or treatment as usual (TAU; n = 40) groups using block randomization (eight blocks of n = 10). The LM group and their caregivers received a structured LM package that included nutrition counselling, recommendations on a balanced diet, and physical activity. The two groups were assessed on body weight, body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and quality of life (QOL) at baseline and after three months. Thirty-one LM and 33 TAU participants completed the study.

Results

The LM and TAU groups were comparable on sociodemographic and clinical characteristics and baseline variables of body weight, BMI, WC, and WHR (all P > 0.08). Repeated-measures analysis of variance (RM ANOVA) showed that the LM group had significantly reduced body weight, BMI, WC, and WHR (all P < 0.001) than the TAU group. Similarly, the LM group also showed improvement in their QOL (P < 0.001), whereas TAU showed no improvement.

Conclusions

LM is an effective way to reduce body-weight-related parameters of MS and improves the QOL among persons with SMI in the short term. The caregivers' inclusion during LM contributed to the weight reduction. However, the long-term effect of the intervention could not be assessed.

Pilot and Feasibility Studies of a Lifestyle Modification Program Based on the Health Belief Model to Prevent the Lifestyle-Related Diseases in Patients with Mental Illness

In this study we have examined the feasibility of a program based on the health belief model (HBM), for its effectiveness in improving lifestyle-related diseases in patients with schizophrenia (SZ) and bipolar disorder (BD), which are often complicated with physical conditions. In this model, we attempted to enable patients to identify a "threat" and to find "balance between benefits and disadvantages". Subjects were carefully selected from among psychiatric patients by excluding any bias. Thus, the enrolled patients were 30 adult men and women with lifestyle-related diseases, or those with a body mass index (BMI) of over 24. Of these 30 subjects, 15 were randomly assigned to the intervention group and 10 the control group, since 5 subjects in the control voluntarily left from the study. Comparison of the intervention and control groups revealed significant improvement (p < 0.05) in HDL cholesterol in the intervention group. However, there were no significant changes in other variables. These findings support the usefulness and efficacy of HMB-based nutritional interventions for preventing lifestyle-related disorders among psychiatric patients. Further evaluation is needed with a larger sample size and a longer intervention period. This HMB-based intervention could be useful for the general population as well.

Association between antipsychotic medication and clinically relevant weight change: meta-analysis

BACKGROUND

Previous meta-analyses have shown that almost all antipsychotics are associated with weight gain. However, mean weight gain is not informative about clinically relevant weight gain or weight loss.

AIMS

To provide further insight into the more severe body weight changes associated with antipsychotic use, we assessed the proportion of patients with clinically relevant weight gain (CRWG) and clinically relevant weight loss (CRWL), defined as ≥7% weight gain and ≥7% weight loss.

METHOD

We searched PubMed, Embase and PsycInfo for randomised controlled trials of antipsychotics that reported CRWG and CRWL in study populations aged 15 years or older. We conducted meta-analyses stratified by antipsychotic and study duration using a random-effects model. We performed meta-regression analyses to assess antipsychotic-naive status and psychiatric diagnosis as modifiers for CRWG. PROSPERO: CRD42020204734.

RESULTS

We included 202 articles (201 studies). Almost all included antipsychotics were associated with CRWG. For CRWL, available data were too limited to draw firm conclusions. For some antipsychotics, CRWG was more pronounced in individuals who were antipsychotic-naive than in individuals switching to another antipsychotic. Moreover, a longer duration of antipsychotic use was associated with more CRWG, but not CRWL. For some antipsychotics, CRWG was higher in people diagnosed with schizophrenia, but this was inconsistent.

CONCLUSIONS

Switching antipsychotic medication is associated with both weight gain and weight loss, but the level of CRWG is higher than CRWL in antipsychotic-switch studies. CRWG was more pronounced in antipsychotic-naive patients, highlighting their vulnerability to weight gain. The impact of diagnosis on CRWG remains inconclusive.

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

INTRODUCTION

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

AREAS COVERED

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

EXPERT OPINION

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

Severe Mental Illness and Cardiovascular Disease: JACC State-of-the-Art Review

People with severe mental illness, consisting of schizophrenia, bipolar disorder, and major depression, have a high burden of modifiable cardiovascular risk behaviors and conditions and have a cardiovascular mortality rate twice that of the general population. People with acute and chronic cardiovascular disease are at a higher risk of developing mental health symptoms and disease. There is emerging evidence for shared etiological factors between severe mental illness and cardiovascular disease that includes biological, genetic, and behavioral mechanisms. This state-of-the art review will describe the relationship between severe mental illness and cardiovascular disease, explore the factors that lead to poor cardiovascular outcomes in people with severe mental illness, propose strategies to improve the cardiovascular health of people with severe mental illness, and present areas for future research focus.

Increased prevalence of metabolic syndrome in patients with bipolar disorder compared to a selected control group-a Northern Netherlands LifeLines population cohort study

OBJECTIVES

Metabolic syndrome (MetS) is highly prevalent among patients with bipolar disorder (BD). The aims of this cross-sectional study were to determine the prevalence of MetS in Dutch BD subjects and compare it with a control group, to examine the association of demographic and clinical characteristics with MetS in BD, and to determine the extent to which metabolic dysregulation is treated in those patients.

METHODS

493 Dutch adult patients (≥ 18 years) with BD receiving psychotropic drugs and 493 matched control subjects were compared using data from the biobank Lifelines. We determined MetS according to the National Cholesterol Education Program Adult Treatment Panel III-Adapted (NCEP ATP III-A) criteria. The difference in the prevalence of MetS and the associations with characteristics were analyzed with logistic regression.

RESULTS

BD subjects (30.6%) showed a significantly higher prevalence of MetS compared to the control group (14.2%) (p < .001, OR:2.67, 95% CI:1.94-3.66). Univariate analysis showed that smoking, body mass index (BMI) and antidepressant drug use were associated with MetS. Multivariate analysis showed that smoking (OR:2.01) was independently associated with MetS in BD. For hypertension, hyperglycemia and lipid disorder pharmacological treatment was provided to respectively 69.5%, 24% and 18.4% of the BD subjects in our sample.

LIMITATIONS

Duration of illness of BD subjects was unknown.

CONCLUSIONS

This study demonstrated a higher prevalence of MetS in Dutch BD subjects compared to persons without BD. In addition, a remarkable undertreatment of some of the components of MetS was found.

Evidence for the atherogenic index of plasma as a potential biomarker for cardiovascular disease in schizophrenia

BACKGROUND

Schizophrenia is known to be accompanied with increased cardiovascular mortality, which causes reduced life expectancy.

AIM

The aim of the current study was to investigate if atherogenic index of plasma (AIP) could be a good marker in assessing cardiovascular disease (CVD) risk in patients with schizophrenia.

METHODS

Patients with schizophrenia (n = 328) and healthy controls (n = 141) were recruited. Schizophrenia patients were evaluated according to the presence of antipsychotic (AP) drug use as AP(+)Sch group and AP(-)Sch group. Atherogenic indices, such as AIP, Castelli's risk index-I (CRI-I), Castelli's risk index-II (CRI-II), and atherogenic coefficient (AC), were calculated according to the laboratory examination of serum lipid parameters.

RESULTS

According to the comparison of serum lipid levels, triglyceride (TG) levels were found to be highest and high-density lipoprotein-cholesterol levels were lowest in AP(+)Sch group than AP(-)Sch group and control group (CG) (p < 0.001). AIP, CRI-I, and CRI-II scores were found to be significantly higher in AP(+)Sch group than AP(-)Sch group, and in AP(-)Sch than healthy controls (p < 0.001). Mean AC scores were higher in AP(+)Sch group than both AP(-)Sch and CG and were similar in AP(-)Sch and control subjects (p < 0.001). According to the correlation analysis, AIP scores were positively correlated with duration of disease (r = 0.235; p = 0.002) and age (r = 0.226; p = 0.003) in AP(+)Sch group but not in drug-free subjects. In all groups, atherogenic indices of CRI-I, CRI-II, and AC scores were found to be positively correlated with AIP scores (p < 0.001).

CONCLUSION

Our results suggest that AIP is an easily calculable and reliable marker for determining the CVD risk in both drug-free schizophrenia patients and patients under AP treatment.

Profile of recipients of holistic health counselling in a psychiatric OPD in South India

BACKGROUND OF THE STUDY

Persons with mental illness (PwMI) are prone to weight gain as a side effect of antipsychotics. Health counselling on diet, physical activity, medication adherence, expressed emotions and technology use, by health professionals, can help in managing these side-effects.

AIM

The aim of this study was to identify the pre-counselling profile of the subjects such as body mass index (BMI), diet, physical activity, medication adherence, expressed emotions and technology use among PwMI; to attend the Holistic Health Clinic as part of follow-up services in the psychiatry Outpatient Department (OPD) as well as to find correlation and association between the study variables.

METHODS

The study involved a cross-sectional descriptive design based on convenience sampling. The sample consists of 56 patients who are receiving antipsychotics under symptom control (self-reported) and were overweight. Data were collected with a patient assessment proforma and analysed using SPSS-22.

RESULTS

The patients referred to the holistic health counselling (HHC) had abnormal weight and BMI. The mean and SD of weight was 74.48 ± 14.07 and BMI 29.51 ± 5.15. All the participants received counselling on diet, 87.5% on physical activity, 62.5% on sleep hygiene, 55.4% on medication adherence, 8.9% on family emotional climate and only 5.4% on healthy use of technology. Weight has shown significant relation with gender (male = 80.84 ± 17.71, female = 71.09 ± 10.52, t = -2.52, p = .015) and near to significant relationship (χ² = 7.685, p = .053) with educational status.

CONCLUSION

Patients receiving second-generation antipsychotics (SGA) have lesser extra pyramidal side-effects; however, they are more prone to gain weight. Proper screening and counselling during the follow-up visit in the outpatient setting can help in identification, prevention and management of the obesity-related metabolic syndrome and cardiovascular disease (CVD), and motivate them to adopt healthy behaviours.

Antipsychotics result in more weight gain in antipsychotic naive patients than in patients after antipsychotic switch and weight gain is irrespective of psychiatric diagnosis: A meta-analysis

Introduction

Antipsychotics are associated with bodyweight gain and metabolic disturbance. Previous meta-analyses were limited to mainly antipsychotic switch studies in patients with a diagnosis of schizophrenia or psychosis with short follow-up periods. The present meta-analysis aimed to analyse the impact of weight change in antipsychotic-naive and antipsychotics switch patients and whether body weight change depended on diagnosis.

Method

We performed a meta-analysis of clinical trials of antipsychotics that reported weight change, irrespective of psychiatric diagnosis. Outcome measure was body weight change. Studies were classified into antipsychotic-naive and antipsychotic-switch. Forest plots stratified by antipsychotic and the duration of antipsychotic use were generated and results were summarised in figures.

Results

In total, 404 articles were included for the quantitative synthesis. 58 articles were on antipsychotic naive patients. In the antipsychotic naive group, all antipsychotics resulted in body weight gain. In the antipsychotic switch group, most antipsychotics likewise resulted in bodyweight gain, with exception of amisulpride, aripiprazole and ziprasidone that showed no body weight gain or even some weight loss after switching antipsychotics. Diagnosis was not a discriminating factor of antipsychotic induced weight change.

Conclusion

Antipsychotic use resulted in substantial increase in body weight in antipsychotic-naive patients. In antipsychotic-switch patients the weight gain was mild and not present in amisulpride, aripiprazole and ziprasidone. In both groups, weight gain was irrespective of the psychiatric diagnosis.

Medical Comorbidities in 181 Patients With Bipolar Disorder vs. Schizophrenia and Related Psychotic Disorders: Findings From a Single-Center, Retrospective Study From an Acute Inpatients Psychiatric Unit

Introduction: Medical comorbidities (MCs) represent a significant burden in terms of more frequent hospitalizations and overall lower life expectancy among people with severe mental disorders, such as schizophrenia and related psychotic disorders (SZ) and bipolar disorder (BD). The present article aims to compare the prevalence of MCs and to examine the associated characteristics as marital status, job occupation, level of education, and living arrangements, between BD and SZ patients. Methods: One-hundred-eight-one patients with MCs (85/47% had BD and 96/53% had SZ) were recruited retrospectively from the Acute Inpatients Psychiatry Unit of Policlinico Tor Vergata, Rome, between January-2017 and December-2020. MCs were: cardiovascular diseases (CVD), bacterial infections, mycoses, viral diseases, neoplasms, musculoskeletal, respiratory tract, urological and male genital, gynecological, neurological, gastrointestinal, metabolic syndrome, nutritional, and metabolic diseases. Results: BD had more MC than SZ (36.2 vs. 28.2%, respectively, p = 0.04). CVD and metabolic MC were more common among BD (51.8 vs.34.4%; 51.8 vs.35.3%; p = 0.018; p = 0.039; respectively), while viral diseases were more frequent in SZ (13.5 vs.3.5%, p = 0.035). Hypertension was common in both psychiatric illnesses (81.8% BD vs. 65.6% SZ, p = 0.18). Obesity was the most frequent metabolic disease in both BD and SZ (75% BD vs. 73.5% SZ, p = 0.91), followed by diabetes mellitus (52.3% BD vs. 55.9% SZ, p = 0.93), metabolic syndrome (54.5% BD vs. 47.1% SZ, p = 0.67) and dysthyroidism (47.7% BD vs. 25.7% SZ, p = 0.093). After performing a binary logistic regression analysis, only two MCs showed a statistically significant association: patients with SZ had an OR of 2.01 [CI 95% (1.00-4.01)] for CVD compared to BD; on the other hand, patients with BD had an OR of 16.57 [CI 95% (3.58-76.77)] for gynecological diseases compared to SZ patients. Conclusions: MCs are common among people with severe mental illness, especially CVD and metabolic diseases, highlighting the need for a more collaborative relationship between general medical providers and psychiatrists.

Efficacy and safety of cariprazine in bipolar I depression: A double-blind, placebo-controlled phase 3 study

OBJECTIVE

To assess the efficacy, safety, and tolerability of cariprazine in the treatment of the depressed phase of bipolar I disorder in adults (NCT02670538).

METHODS

In this phase 3 double-blind placebo-controlled study, adult patients with bipolar I disorder according to the Diagnostic and Statistical Manual - 5th Edition criteria and a current depressive episode were randomized to placebo (n = 167), cariprazine 1.5 mg/day (n = 168) or cariprazine 3.0 mg/day (n = 158). Efficacy parameters were changes in the Montgomery-Åsberg Depression Rating Scale (MADRS) total scores (primary) and Clinical Global Impressions - Severity (CGI-S) scores (secondary) from baseline to Week 6 compared to placebo. A mixed-model for repeated measures was used to estimate the least-squares mean differences (LSMD); P-values were adjusted for multiplicity. Adverse events (AEs), laboratory results, vital signs, and suicide risk were monitored.

RESULTS

Cariprazine 1.5 mg/day significantly reduced depressive symptoms on the primary (MADRS LSMD = -2.5; adjusted P = .0417) and secondary (CGI-S LSMD = -0.3; adjusted P = .0417) efficacy parameters vs placebo; differences were not statistically significant for cariprazine 3.0 mg/day. Common treatment-emergent AEs (≥5% in either cariprazine group and at least twice the incidence of placebo) were akathisia, restlessness, nausea, and fatigue. Mean metabolic parameter changes were low and generally comparable among groups; mean weight increases were ≤0.5 kg for all groups.

CONCLUSIONS

Cariprazine 1.5 mg/day significantly reduced depressive symptoms in adults with bipolar I depression compared to placebo, but differences were not significant for cariprazine 3.0 mg/day. The safety and tolerability profiles were similar to previous studies of cariprazine.

Evaluation of cariprazine in the treatment of bipolar I and II depression: a randomized, double-blind, placebo-controlled, phase 2 trial

This double-blind placebo-controlled, fixed/flexible-dose phase 2 trial assessed the efficacy, safety, and tolerability of cariprazine vs. placebo for depressive episodes associated with bipolar I or II disorder. Primary endpoint was change in Montgomery-Åsberg Depression Rating Scale (MADRS) total scores (baseline to week 8), and secondary endpoint was mean Clinical Global Impressions-Improvement score (week 8). Patients were randomized (N = 233) 1:1:1 to placebo, 'low-dose' 0.25-0.5 mg/day or 'high-dose' 1.5-3.0 mg/day cariprazine. Adverse events, laboratory results, vital signs, extrapyramidal symptoms, and suicide risk were monitored. Neither cariprazine group significantly separated from placebo in primary (mixed-effect model repeated measures MADRS least-squares mean differences: low-dose = -0.7, P = 0.7408; high-dose = 0.0, P = 0.9961) or secondary efficacy measures. No new safety signals with cariprazine were observed and common treatment-emergent adverse events (≥5% of cariprazine patients and twice the rate of placebo) included insomnia, akathisia, dry mouth, nausea, weight increased, diarrhea, restlessness, vomiting, musculoskeletal stiffness, migraine, and cough. Metabolic and weight changes were generally similar for cariprazine and placebo. Factors that may have affected the outcome of the trial were identified, which helped to inform the design and conduct of subsequent phase 2b/3 clinical trials of cariprazine in bipolar depression.

Prevalence and awareness of cardiovascular risk factors in patients with schizophrenia: A cross-sectional study in a low cardiovascular disease risk geographical area

Objective

Prevalence of cardiovascular disease is high in schizophrenia. Our aim is to estimate the prevalence of cardiovascular risk factors (CVRF) among schizophrenia patients.

Method

National cross-sectional study in patients diagnosed with schizophrenia under treatment with second generation antipsychotics and admitted to short-stay hospitalisation units.

Results

A sample of 733 consecutively admitted patients was enrolled; the most prevalent CVRFs were smoking 71% (95% CI: 67–74%) and hypercholesterolemia 66% (61–70%) followed by hypertriglyceridemia 26% (26–32%), hypertension 18% (15–21%) and diabetes 5% (4–7%). Metabolic syndrome showed 19% (95% CI: 16–23%) prevalence or, according to updated definitions (Clin Cornerstone 7 [2005] 36–45), 24% (95% CI: 20–28%). The rate of patients within the high-risk range of a 10-year fatal cardiovascular event was 6.5%. CVRFs under routine management were diabetes (60%), hypertension (28%) and, to a lesser extent, dyslipemia (14%). Treatment for CVRFs was associated to gender, men for hypertension OR = 25.34, p < 0.03 and women for diabetes OR = 0.02, p < 0.03.

Conclusion

We found that CVRFs in schizophrenia were prevalent and under-diagnosed, and thus with insufficient therapeutic management.

Metabolic syndrome and 10-year risk of cardiovascular events among schizophrenia inpatients treated with antipsychotics

Background: The metabolic syndrome is highly prevalent among patients with schizophrenia. This study was conducted to determine the prevalence of metabolic syndrome and the risk of cardiovascular disease in the next 10 years among schizophrenic patients.

Methods: This cross sectional study was performed on 100 Iranian patients with schizophrenia in 2016. The prevalence of metabolic syndrome was determined by adult treatment panel III criteria, and 10-year cardiovascular risk was calculated by Framingham Risk Score. SPSS software was used to perform statistical analysis. Chi-square and Fisher's exact or extended Fisher's exact tests were used to compare dichotomous variables. Also, Mann-Whitney U test was applied to compare the quantitative variables. Significance level was considered to be less than or equal to 0.05.

Results: In this study, 83 participants (83%) were male and 17 (17%) were female. The prevalence of metabolic syndrome was 27% (21.7% in males and 52.9% in females, p=0.015). Among all components of metabolic syndrome, low HDL-C in men and abdominal obesity in females were the most common disorders. Based on Framingham Risk Score, 76%, 16%, and 8% of patients had low, intermediate, and high level of risk, respectively. A significant difference was observed between the level of risk among participants with and without metabolic syndrome (p=0.042).

Conclusion: In this study, patients with schizophrenia showed a high prevalence of metabolic syndrome, but most of them had low risk of developing cardiovascular disease. These results suggest regular screening and early interventions to modify the risk factors of metabolic syndrome.

Blood-brain barrier imaging as a potential biomarker for bipolar disorder progression

Bipolar disorder affects approximately 2% of the population and is typically characterized by recurrent episodes of mania and depression. While some patients achieve remission using mood-stabilizing treatments, a significant proportion of patients show progressive changes in symptomatology over time. Bipolar progression is diverse in nature and may include a treatment-resistant increase in the frequency and severity of episodes, worse psychiatric and functional outcomes, and a greater risk of suicide. The mechanisms underlying bipolar disorder progression remain poorly understood and there are currently no biomarkers for identifying patients at risk. The objective of this study was to explore the potential of blood-brain barrier (BBB) imaging as such a biomarker, by acquiring the first imaging data of BBB leakage in bipolar patients, and evaluating the potential association between BBB dysfunction and bipolar symptoms. To this end, a cohort of 36 bipolar patients was recruited through the Mood Disorders Clinic (Nova Scotia Health Authority, Canada). All patients, along with 14 control subjects (matched for sex, age and metabolic status), underwent contrast-enhanced dynamic MRI scanning for quantitative assessment of BBB leakage as well as clinical and psychiatric evaluations. Outlier analysis has identified a group of 10 subjects with significantly higher percentages of brain volume with BBB leakage (labeled the "extensive BBB leakage" group). This group consisted exclusively of bipolar patients, while the "normal BBB leakage" group included the entire control cohort and the remaining 26 bipolar subjects. Among the bipolar cohort, patients with extensive BBB leakage were found to have more severe depression and anxiety, and a more chronic course of illness. Furthermore, all bipolar patients within this group were also found to have co-morbid insulin resistance, suggesting that insulin resistance may increase the risk of BBB dysfunction in bipolar patients. Our findings demonstrate a clear link between BBB leakage and greater psychiatric morbidity in bipolar patients and highlight the potential of BBB imaging as a mechanism-based biomarker for bipolar disorder progression.

Thirty-year cardiovascular risk score in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives

OBJECTIVES

Bipolar disorder is associated with a decreased life expectancy of 8-12 years. Cardiovascular disease is the leading cause of excess mortality. For the first time, we investigated the Framingham 30-year risk score of cardiovascular disease in patients with newly diagnosed/first-episode bipolar disorder, their unaffected first-degree relatives and healthy individuals.

METHODS

In a cross-sectional study, we compared the Framingham 30-year risk score of cardiovascular disease in 221 patients with newly diagnosed/first-episode bipolar disorder, 50 of their unaffected first-degree relatives and 119 healthy age- and sex-matched individuals with no personal or first-degree family history of affective disorder. Among patients with bipolar disorder, we further investigated medication- and illness-related variables associated with cardiovascular risk.

RESULTS

The 30-year risk of cardiovascular disease was 98.5% higher in patients with bipolar disorder (p = 0.017) and 85.4% higher in unaffected first-degree relatives (p = 0.042) compared with healthy individuals in models adjusted for age and sex. When categorizing participants in low cardiovascular risk without considering age and sex distribution among participants, 81% of patients were at low risk, versus 92% of unaffected relatives and 89% of healthy individuals. Of the patients 209 (94.6%) were diagnosed within the preceding 2 years. Smoking was more prevalent among patients with bipolar disorder (45.2%) and their unaffected first-degree relatives (20.4%) compared with healthy individuals (12.8%). Similarly, dyslipidemia was more common among patients with bipolar disorder compared with healthy individuals. Treatment with psychotropic medication with metabolic adverse effects was associated with higher 30-year cardiovascular disease risk score, whereas we did not find illness-related variables associated with cardiovascular risk among patients with bipolar disorder.

CONCLUSION

We found an enhanced cardiovascular disease risk score in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives, which points to a need for specific primary preventive interventions against smoking and dyslipidemia in these populations.

Psychotherapy Alone and Combined With Medication as Treatments for Bipolar II Depression: A Randomized Controlled Trial

OBJECTIVE

Bipolar II disorder (BP-II) is associated with marked morbidity and mortality. Quetiapine, the treatment with greatest evidence for efficacy in BP-II depression, is associated with metabolic burden. Psychotherapy, a treatment with few side effects, has not been systematically evaluated in BP-II. This study compared psychotherapy plus placebo to psychotherapy plus pharmacotherapy as treatments for BP-II depression.

METHODS

From 2010 to 2015, unmedicated adults (n = 92) with DSM-IV-TR BP-II depression were randomly assigned to weekly sessions of Interpersonal and Social Rhythm Therapy (IPSRT) plus placebo or IPSRT plus quetiapine and followed for 20 weeks.

RESULTS

For primary outcomes, IPSRT + quetiapine yielded significantly faster improvement on 17-item Hamilton Depression Rating Scale (F₁,₁₁₅.₄ = 3.924, P = .048) and greater improvement on Young Mania Rating Scale (F₅₈.₅ = 4.242, P = .044) scores. Both groups, however, improved significantly over time with comparable response rates (≥ 50% reduction in depression scores): 67.4% (62/92) in the entire sample, with no between-group differences. Those randomly assigned to their preferred treatment were 4.5 times more likely to respond (OR = 4.48, 95% CI = 1.20-16.77, P = .026). IPSRT + quetiapine assignment was associated with significantly higher body mass index over time (F₆₇.₉₆ = 6.671, P = .012) and rates of dry mouth (79% v. 58%; χ² = 4.0, P = .046) and a trend toward more complaints of oversedation (100% vs 92%; χ² = 3.4, P = .063).

CONCLUSIONS

IPSRT plus quetiapine resulted in greater symptomatic improvement but also more side effects than IPSRT alone. A subset of participants improved with IPSRT alone, although absence of an inactive comparator limits interpretation of this finding. Receipt of preferred treatment was associated with better outcomes. Harms, benefits, and preferences should be considered when recommending treatments for BP-II depression.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT01133821.

Risk of cardiometabolic diseases among siblings of patients with bipolar disorder

BACKGROUND

Cardiometabolic diseases are suggested to be associated with bipolar disorder. However, the risk of metabolic disorders in unaffected siblings of patients with bipolar disorder remains unclear.

METHODS

From the Taiwan National Health Insurance Research Database, 7,225 unaffected siblings of bipolar probands and 28,900 age-/sex-/income-/residence-matched control individuals were included and followed until the end of 2011. Individuals who developed metabolic disorders during the follow-up period were identified.

RESULTS

The unaffected siblings of bipolar probands had a higher prevalence of dyslipidemia (5.4% vs. 4.5%, p = 0.001), younger age at diagnosis of type 2 diabetes mellitus (34.81 vs. 37.22, p = 0.024), and higher prevalence of any stroke (1.5% vs. 1.1%, p = 0.007) than the controls. Moreover, only male siblings of bipolar probands had an increased risk of dyslipidemia (odds ratio [OR]: 1.28, 95% confidence interval [CI]: 1.10-1.48) and higher rates of any stroke (OR: 1.38, 95% CI: 1.02-1.85) and ischemic stroke (OR: 2.43, 95% CI: 1.60-3.70) during the follow-up compared with the controls.

DISCUSSION

Unaffected siblings of bipolar patients, particularly brothers, had a higher prevalence of dyslipidemia and ischemic stroke compared with the controls. The result suggests the familial association between cardiometabolic diseases and bipolar disorder. Further research may be necessary to identify this shared etiology between the disorders.

Cariprazine Treatment of Bipolar Depression: A Randomized Double-Blind Placebo-Controlled Phase 3 Study

OBJECTIVE

Cariprazine, a dopamine D₃/D₂ and 5-HT_1A receptor partial agonist, was found to be effective in treating bipolar I depression in a previous phase 2 study. This phase 3 study further assessed the efficacy, safety, and tolerability of cariprazine in bipolar I depression.

METHODS

In a double-blind placebo-controlled study, adult participants (18-65 years old) who met DSM-5 criteria for bipolar I disorder and a current depressive episode were randomly assigned to receive placebo (N=158) or cariprazine at 1.5 mg/day (N=157) or 3.0 mg/day (N=165). The primary and secondary efficacy parameters were changes from baseline to week 6 in Montgomery-Åsberg Depression Rating Scale (MADRS) score and Clinical Global Impressions severity (CGI-S) score, respectively. Least squares mean differences were estimated using a mixed model for repeated measures, and p values were adjusted for multiplicity.

RESULTS

Both dosages of cariprazine were significantly more effective than placebo in improving depressive symptoms (reducing MADRS total score); the least squares mean differences were -2.5 (95% CI=-4.6, -0.4) for cariprazine at 1.5 mg/day and -3.0 (95% CI=-5.1, -0.9) for cariprazine at 3.0 mg/day. Both cariprazine dosages were associated with lower CGI-S scores compared with placebo, but the differences did not reach statistical significance after adjustment for multiplicity (least squares mean difference, -0.2 [95% CI=-0.5, 0.0] for the 1.5 mg/day group and -0.3 [95% CI=-0.5, 0.0] for the 3.0 mg/day group). Common treatment-emergent adverse events (in at least 5% of participants in either cariprazine treatment group and twice the rate of the placebo group) were nausea, akathisia, dizziness, and sedation. Mean changes in weight and metabolic parameters were relatively small and comparable across groups.

CONCLUSIONS

Cariprazine, at both 1.5 mg/day and 3.0 mg/day, was effective, generally well tolerated, and relatively safe in reducing depressive symptoms in adults with bipolar I depression.

Metabolic profile in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives

Objective

The prevalence of metabolic syndrome and insulin resistance is twice as high in patients with bipolar disorder compared with the general population, and possibly associated with a disabling illness trajectory of bipolar disorder, an increased risk of cardiovascular disease and premature death. Despite these detrimental effects, the prevalence of metabolic syndrome and insulin resistance in patients newly diagnosed with bipolar disorder and their unaffected first-degree relatives is largely unknown.

Methods

In a cross-sectional study of 206 patients with newly diagnosed bipolar disorder, 50 of their unaffected first-degree relatives and 109 healthy age- and sex-matched individuals, we compared the prevalence of metabolic syndrome and insulin resistance (HOMA-IR). In patients with bipolar disorder, we further investigated illness and medication variables associated with the metabolic syndrome and insulin resistance.

Results

Higher rates of metabolic syndrome (odds ratio = 3.529, 95% CI 1.378–9.041, P = 0.009) and levels of insulin resistance (B = 1.203, 95% CI 1.059–1.367, P = 0.005) were found in patients newly diagnosed with bipolar disorder, but not in their unaffected first-degree relatives compared with matched healthy individuals (data adjusted for sex and age). Most patients with bipolar disorder (94.7%) were diagnosed within the preceding 2 years, and the average illness duration, defined as time from first mood episode, was 10 years.

Conclusion

Our findings of elevated prevalence of metabolic syndrome and insulin resistance in patients with newly diagnosed bipolar disorder highlight the importance of screening for these conditions at an early stage to employ adequate and early care reducing the risk of cardiovascular disease and premature death.

Cardiovascular risk remains high in schizophrenia with modest improvements in bipolar disorder during past decade

OBJECTIVE

While CVD risk has decreased in the general population during the last decade, the situation in patients with schizophrenia (SCZ) and bipolar disorder (BD) is unknown.

METHODS

We compared CVD risk factors in patients with SCZ and BD recruited from 2002-2005 (2005 sample, N = 270) with patients recruited from 2006-2017 (2017 sample, N = 1011) from the same catchment area in Norway. The 2017 sample was also compared with healthy controls (N = 922) and the general population (N range = 1285-4587, Statistics Norway) from the same area and period.

RESULTS

Patients with SCZ and BD in the 2017 sample had significantly higher level of most CVD risk factors compared to healthy controls and the general population. There was no significant difference in the prevalence of CVD risk factors in SCZ between the 2005 and 2017 samples except a small increase in glucose in the 2017 sample. There were small-to-moderate reductions in hypertension, obesity, total cholesterol, low-density lipoprotein, systolic and diastolic blood pressure in the BD 2017 sample compared to the 2005 sample.

CONCLUSION

Despite major advances in health promotion during the past decade, there has been no reduction in the level of CVD risk factors in patients with SCZ and modest improvement in BD.

Gut microbiota composition in patients with newly diagnosed bipolar disorder and their unaffected first-degree relatives

OBJECTIVE

An aberrant gut microbiota may be associated with a broad spectrum of diseases including mental illness. The gut microbiota is scarcely studied in bipolar disorder (BD). We examined the gut microbiota composition in patients with newly diagnosed BD, their unaffected first-degree relatives and healthy individuals.

METHODS

Stool samples were collected from 113 patients with BD, 39 unaffected first-degree relatives and 77 healthy individuals and the microbiota was profiled using 16S rRNA gene amplicon sequencing.

RESULTS

The gut microbiota community membership of patients with BD differed from that of healthy individuals (R² = 1.0%, P = 0.008), whereas the community membership of unaffected first-degree relatives did not. Flavonifractor was present in 61% of patients with BD, 42% of their unaffected relatives and 39% of healthy individuals. Presence of Flavonifractor was associated with an odds ratio of 2.9 (95%CI: 1.6-5.2, P = 5.8 × 10^-4, Q = 0.036) for having BD. When excluding smokers, presence of Flavonifractor was associated with an odds ratio of 2.3 (95%CI: 1.1-5.3, P = 0.019) for having BD. However, when considering the subsample of non-smokers only, BD and presence of Flavonifractor were no longer associated when adjusted for all possible tests at genus level (Q = 0.6). Presence of Flavonifractor in patients with BD was associated with smoking and female sex, but not with age, waist circumference, exercise level, high-sensitive C-reactive protein, current affective state, subtype of BD, illness duration or psychotropic medication, respectively.

CONCLUSION

Flavonifractor, a bacterial genus that may induce oxidative stress and inflammation in its host, was associated with BD. Higher prevalence of smoking among patients with BD contributed to our findings, and it cannot be excluded that findings are influenced by residual confounding.

Impact of lifestyle modification on some components of metabolic syndrome in persons with severe mental disorders: A meta-analysis

BACKGROUND

Metabolic syndrome (MS) is reportedly associated with high mortality from mostly cardiovascular causes in patients with severe mental disorders (SMD). Lifestyle interventions augment effective management of MS in patients with SMD. The present meta-analysis aims at updating the recent evidence on the effectiveness of lifestyle intervention for MS in patients with SMD.

METHOD

A literature search for English Language publications of randomized controlled trials (RCTs) from 2001 to 2016 comparing lifestyle modification (LM) with treatment as usual (TAU) in the management of MS were identified. Using PRISMA guidelines, 19 RCTs reporting data on 1688 SMD and MS patients and providing data on change in Body Weight, Body Mass Index (BMI) and waist circumference (WC) were included. Using random effects model, standardized mean difference between LM and TAU for the mean baseline-to-endpoint change in body weight, BMI and WC was calculated with a 95% confidence limit, on RevMan 5.3. The study was registered with PROSPERO (CRD42016046847).

RESULTS

LM had significantly superior efficacy in the reducing weight (-0.64, 95% CI -0.89, -0.39, Z = 5.03, overall effect p < 0.00001), BMI (-0.68, 95% CI -1.01, -0.35, Z = 4.05, overall effect p < 0.0001), and WC (-0.60, 95% CI -1.17, -0.03, Z = 2.06; overall effect p = 0.04), compared to TAU. LM was significantly more effective than TAU even in short duration (p = 0.0001) and irrespective of the treatment setting.

CONCLUSION

Interventions targeting LM in persons with SMD and MS are effective in reducing body weight, BMI and WC. It must be routinely recommended to all patients with SMD, ideally during commencement stage of second generation antipsychotic treatment.

Metabolic syndrome and associated factors among psychiatric patients in Jimma University Specialized Hospital, South West Ethiopia

BACKGROUND

Metabolic syndrome is a multisystem disorder which coined to describe the recognized clustering of metabolic and cardiovascular abnormalities including obesity, hypertension, dyslipidemia, and abnormalities of glucose homeostasis.

OBJECTIVE

To assess the prevalence and associated factors of metabolic syndrome among psychiatric patients in Jimma University Specialized Hospital.

METHODS

This study was conducted at Jimma University Specialized hospital psychiatric ward from May 15 to July 16, 2015. A cross-sectional study design and consecutive sampling technique were used. A single population proportion formula was used to include a total of 360 psychiatric patients. An interview administered structured questionnaire was used to collect socio-demographic and some clinical data. Anthropometric data were collected based on standard guild line for anthropometric measurement. Five milliliter of venous blood was collected from ante-cubital fossa after overnight fasting for 8 h. Semi-automated clinical chemistry analyzer (Temis Linear) was used for biochemical laboratory analysis. Data analysis was performed by using SPSS version-20 software. Binary and multiple logistic regressions were used to identify the association between dependent and independent variables. P value less than 0.05 was taken as statistically significant association.

RESULTS

The prevalence of metabolic syndrome among psychiatric patients was 28.9%. Age greater than 30 years old (AOR: 5.2, CI: 2.3, 11.8, P. value < 0.05); being female (AOR: 7.1, CI: 3.3, 15.2, P. value < 0.05); regularly eating high protein and fat (AOR: 3.3, CI: 1.3, 8.2, P. value < 0.056) were independent determinant variables for high prevalence of metabolic syndrome among diabetic patients in the study area. The other independent variables such as family history of hypertension, chewing chat, Psychotropic drugs, duration of treatment, regularly eating fruits and vegetables had no statistically significant association with metabolic syndrome (P. value > 0.05).

CONCLUSION AND RECOMMENDATION

There was high prevalence of metabolic syndrome among the psychiatric patients. Therefore; close assessment, management and treatment of metabolic syndrome among patients with psychiatry problem is essential.

Prevalence of underweight in patients with schizophrenia: A meta-analysis

AIMS

Although the relationship between body mass index and all-cause mortality is U-shaped, underweight has received comparatively less attention than obesity. There is only limited evidence to date regarding underweight among patients with schizophrenia. This is the first meta-analysis to address the prevalence of underweight in these patients.

METHODS

We conducted database searches (PubMed, PsycINFO) to identify studies examining underweight in patients with schizophrenia. In total, 17 studies (18 groups) with 45,474 patients were included; data were extracted independently by two authors. A meta-analysis was performed to calculate the pooled prevalence of underweight in patients.

RESULTS

The pooled prevalence of underweight was 6.2% (95% CI=4.5-8.6) for the 18 groups, which included 45,474 patients with schizophrenia. The heterogeneity was I²=98.9% (95% Cl=98.7-99.1%). Four studies with 4 groups, consisting of 30,014 individuals, focused on Japanese inpatients with schizophrenia. The pooled prevalence of underweight among inpatients in these 4 groups was 17.6% (95% CI=15.5-20.0). Fourteen studies were conducted with non-Japanese inpatients and included 14 groups of 15,460 patients with schizophrenia. The pooled prevalence of underweight in non-Japanese inpatients was 4.6% (95% CI=3.9-5.4). The proportion of underweight in the 18 groups significantly varied between Japanese inpatients and other patients.

CONCLUSIONS

The results indicated that Japanese inpatients with schizophrenia have a high proportion of underweight. Future research should focus on evaluating interventions that target underweight.

Framingham coronary score in individuals with symptoms or diagnoses of mental disorders: A review and meta-analysis

Patients with mental disorders have a higher coronary morbidity and mortality as compared to the general population. However, it remains unclear whether their coronary risk scores are higher than those of the general population. We reviewed studies and meta-analyze case-control studies about coronary risk scores in individuals with symptoms or diagnoses of mental disorders. Search was performed in Pubmed and clinical trial registration databases. Four case-control studies were identified, comprising 963 individuals with symptoms or diagnoses of mental disorders and 1681 controls. They focused on the most validated coronary risk score, the Framingham Risk Score 1998 (FRS 1998). The mean FRS 1998 was significantly higher in individuals with symptoms or diagnoses of mental disorders than in the general population 7.9( ± 6.9) vs. 5.0( ± 4.8). FRS 1998 differs between individuals with symptoms or diagnoses of mental disorders and controls (Mean difference:1.84 [95% CI:0.57-3.11], p = 0.005]; high heterogeneity was observed (I²= 78%; p < 0.003). The difference was driven by three FRS 1998 criteria: smoking, diabetes and HDL cholesterolemia. The mean FRS 1998 was significantly higher in men, and to a trend in women. In conclusion, individuals with symptoms or diagnoses of mental disorders have a higher coronary risk score than controls. The FRS 1998 should be used as a simple and objective way of monitoring coronary risk in order to improve prevention of coronary events in psychiatric settings.

Association of Protein Kinase B (AKT) DNA Hypermethylation with Maintenance Atypical Antipsychotic Treatment in Patients with Bipolar Disorder

STUDY OBJECTIVE

Atypical antipsychotics cause insulin resistance that leads to an increased risk of diabetes mellitus and cardiovascular disease. Skeletal muscle is the primary tissue for uptake of glucose, and its dysfunction is considered one of the primary defects in the development of insulin resistance. Protein kinase B (AKT) plays an important role in overall skeletal muscle health and glucose uptake into the muscle. The objective of this study was to measure AKT isoform-specific gene methylation differences in the skeletal muscle of patients with bipolar disorder treated with atypical antipsychotic or mood stabilizer maintenance therapy.

DESIGN

Cross-sectional observational study.

SETTING

Clinical research services center at an academic center.

PATIENTS

Thirty patients with a confirmed diagnosis of bipolar disorder who were treated with either an atypical antipsychotic (16 patients) or mood stabilizer (14 patients) at a consistent dose for at least 3 months.

INTERVENTIONS

A fasting skeletal muscle biopsy was performed in the vastus lateralis in each patient. Patients also underwent fasting blood sample collection and a standard 75-g oral glucose tolerance test.

MEASUREMENTS AND MAIN RESULTS

Skeletal muscle DNA methylation near the promoter region for three genes, AKT1, AKT2, and AKT3, was measured by methylation-sensitive high-resolution melting. Gene methylation was analyzed based on atypical antipsychotic versus mood stabilizer maintenance therapy. Associations between gene methylation, insulin resistance, and glucose tolerance were also analyzed. In patients treated with atypical antipsychotics, AKT1 and AKT2 methylation was increased compared with patients treated with mood stabilizers (p=0.03 and p=0.02, respectively). In addition, for patients receiving atypical antipsychotics, a positive trend for AKT2 hypermethylation with increasing insulin resistance was observed, whereas for patients receiving mood stabilizers, a trend for decreased AKT2 methylation with increasing insulin resistance was observed.

CONCLUSION

Overall, our findings suggest that the AKT gene is differentially methylated in the skeletal muscle of patients taking atypical antipsychotics or mood stabilizer maintenance therapy. These results may direct future approaches to reduce the harmful adverse effects of atypical antipsychotic treatment.

Adipocytokines and ghrelin level of bipolar patients from manic episode to euthymic episode

PURPOSE

Obesity and metabolic syndrome (MeS) are more frequently observed in bipolar patients than the general population. This may result from the differences of adipocytokines and ghrelin levels in bipolar disorder.

MATERIAL AND METHODS

We evaluated the leptin, adiponectin, resistin and ghrelin levels in bipolar patients (n = 30) in manic episode and in a control group (n = 30). After treatment, the same patients were evaluated again during the euthymic episode. We also measured the insulin, glucose, insulin resistance (HOMA), trygliceride (TG), total cholesterol (TCHOL), high density lipoprotein cholesterol (HDL) and low density lipoprotein cholesterol (LDL) in relation to the (MeS).

RESULTS

When controlling for age, BMI and glucose, leptin levels were higher in the bipolar disorder manic episode group (BD-ME) and bipolar euthymic episode group (BD-EE) than the control group; resistin levels were higher in the BD-ME compared to the control group and it had a positive correlation with Young Mania Rating Scale (YMRS). After treatment, ghrelin levels were higher in the BD-EE compared to the BD-ME group. There was no difference among the groups with respect to adiponectin.

CONCLUSIONS

The present results point that high leptin, resistin and ghrelin levels may be involved in the early pathophysiological process which can lead to later obesity and MeS in patients with bipolar disorder.

Serious mental illness and medical comorbidities: Findings from an integrated health care system

OBJECTIVE

To examine the odds associated with having medical comorbidities among patients with serious mental illness (SMI) in a large integrated health system.

METHOD

In a secondary analysis of electronic health record data, this study identified 25,090 patients with an ICD-9 SMI diagnosis of bipolar disorder (n=20,308) or schizophrenia (n=4782) and 25,090 controls who did not have a SMI, matched on age, gender, and medical home facility. Conditional logistic regressions compared the odds associated with having nine medical comorbidity categories and fifteen chronic or serious conditions among patients with SMI versus controls.

RESULTS

Results showed having a SMI was associated with significantly higher odds of each medical comorbidity examined (p's<0.001), except no evidence of a significant association was found between having schizophrenia and musculoskeletal diseases. A similar pattern was found regarding the chronic or severe conditions, where having schizophrenia or bipolar was associated with >1.5 times the odds of each condition (p's<0.001).

CONCLUSIONS

In an integrated health system where patients may have fewer barriers to care, SMI patients are likely to present for treatment with a range of medical comorbidities, including chronic and severe conditions. SMI patients may need outreach strategies focused on disease prevention, screening and early diagnosis, and treatment to address medical comorbidities and associated poor health outcomes.

Metabolic syndrome in subjects with bipolar disorder and major depressive disorder in a current depressive episode: Population-based study: Metabolic syndrome in current depressive episode

OBJECTIVE

To assess the differences in the prevalence of the metabolic syndrome (MetS) and their components in young adults with bipolar disorder (BD) and major depressive disorder (MDD) in a current depressive episode.

METHODS

This was a cross-sectional study with young adults aged 24-30 years old. Depressive episode (bipolar or unipolar) was assessed using the Mini International Neuropsychiatric Interview - Plus version (MINI Plus). The MetS was assessed using the National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP III).

RESULTS

The sample included 972 subjects with a mean age of 25.81 (±2.17) years. Both BD and MDD patients showed higher prevalence of MetS compared to the population sample (BD = 46.9%, MDD = 35.1%, population = 22.1%, p < 0.001). Higher levels of glucose, total cholesterol and LDL cholesterol, Body Mass Index, low levels of HDL cholesterol, and a higher prevalence of abdominal obesity were observed in both BD and MDD individuals with current depressive episode compared to the general population. Moreover, there was a significant difference on BMI values in the case of BD and MDD subjects (p = 0.016).

CONCLUSION

Metabolic components were significantly associated with the presence of depressive symptoms, independently of the diagnosis.

A Cross-sectional Study to Estimate Cardiovascular Risk Factors in Patients with Bipolar Disorder

BACKGROUND

There is increasing recognition of cardiovascular mortality and comorbidity in bipolar disorder (BD) in the recent times. Framingham 10 years risk of coronary heart disease (CHD) has been a widely accepted as a reliable estimate of cardiovascular risk in the general population. A few studies have estimated the relative risk of developing CHD in BDs, in India. We attempt to present a cross-sectional data from a prospective study to estimate the 10 years cardiovascular risk in BD population.

SUBJECTS AND METHODS

A total of 50 patients with BD aged between 20 and 60 years fulfilling the inclusion and exclusion criteria were enrolled into this study. Demographic variables and clinical evaluations including smoking history, medical and pharmacologic treatment history, physical examination, anthropometric measurements, and clinical laboratories for metabolic profiles were assessed. Using the Framingham 10-year risk questionnaire, the risk for each patient was calculated and compared with that of normal healthy control group.

RESULTS

The risk of developing a future cardiovascular event was 3.26% in BD and 2.02% in controls. We identified that a higher age at onset of illness, waist-hip ratio, total cholesterol, and unemployment showed a strong positive correlation with future CHD risk whereas administration of valproate, lithium for management of BD, higher socioeconomic status and educational status, and nonsmokers was associated negatively with the future CHD risk.

CONCLUSIONS

It appears that there is a significant association between BD and metabolic factors, CHD, sociodemographic variables, and underscores the predictive ability of Framingham risk score in detecting cardiovascular diseases.

Coronary heart disease risk in patients with schizophrenia: a Lebanese cross-sectional study

Background:

Coronary heart disease (CHD) is a leading cause of premature death in patients with schizophrenia. CHD risk in Lebanese patients with schizophrenia remains unknown.

Objectives:

To (i) evaluate CHD risk of patients with schizophrenia in Lebanon; and (ii) detect the modifiable and non-modifiable factors affecting this risk.

Methods:

Cross-sectional study of 329 patients with schizophrenia aged 20–75 years. Ten-year hard CHD risk was calculated using the Framingham risk score. A logistic regression was conducted taking the dichotomous hard CHD (<10% and ≥10%) as the dependent variable.

Results:

Ten-year hard CHD risk was low (<10%) in 60.8% of patients, intermediate (10–20%) in 31.6%, and high (>20%) in 7.6%. Multivariate analysis showed that the mean 10-year hard CHD risk was 8.76±6.92 (10.82±6.83 in men and 3.18±2.90 in women). Ten-year hard CHD risk was higher in patients with the metabolic syndrome (odds ratio [OR] 2.67, confidence interval [CI] 1.54–4.64), a longer duration of schizophrenia (OR 1.03, CI 1.01–1.05), a history of other medical illnesses (OR 2.02, CI 1.18–3.47), and in those participating in art therapy (OR 2.13, CI 1.25–3.64) or therapeutic education (OR 1.93, CI 0.93–4.01). Ten-year hard CHD risk was lower in patients receiving risperidone (OR 0.23, CI 0.08–0.68), any anti-epileptic (OR 0.41, CI 0.24–0.73), or any benzodiazepine (OR 0.33, CI 0.17–0.66) medication.

Conclusion:

CHD is prevalent in patients with schizophrenia in Lebanon. Physicians are recommended to monitor the components of the metabolic syndrome to identify patients with increased risk of cardiovascular diseases.

Lifestyle related factors & impact of metabolic syndrome on quality of life, level of functioning & self-esteem in patients with bipolar disorder & schizophrenia

Background & objectives:

Though studies have reported high prevalence rates of metabolic syndrome among patients with bipolar disorder (BPAD) and schizophrenia, there is lack of data on the impact of the same on the patients’ life. This study was aimed to assess the lifestyle related factors associated with metabolic syndrome (MetS) and to study the impact of MetS on functioning and quality of life (QOL) in patients with BPAD and schizophrenia.

Methods:

A total of 102 patients with BPAD and 72 patients with schizophrenia attending the output unit of a tertiary care hospital in north India were evaluated for MetS. These patients were assessed on Health Promoting Lifestyle Profile scale II (HPLP II), World Health Organization QOL -Bref Version (WHOQOL-Bref), Impact of Weight on Quality of Life- Lite version (IWOQOL -Lite), Body weight, Image and Self-esteem Evaluation questionnaire (BWISE), Obesity-related Problem scale (OP scale) and Global Assessment of Functioning (GAF) scale.

Results:

MetS was associated with lower scores on domains of health responsibility and nutrition habit domain on HPLP-II scale in both groups, and additionally on physical activity and stress management domain in BPAD group. On WHOQOL-Bref, MetS was associated with lower scores on the domains of physical and psychological health in both groups. On IWQOL–Lite, scores on personal distress and self esteem domains were higher in those with obesity in both groups and also on physical activity domain in schizophrenia group. Those with MetS had lower level of functioning as measured by GAF in schizophrenia group. Fulfillment of higher number of criteria of MetS correlated with poorer quality of life and higher problems in both groups.

Interpretation & conclusions:

Many modifiable lifestyle factors increase the risk of MetS. MetS was found to be associated with poorer QOL in patients with BPAD and schizophrenia; in addition, obesity led to poor self-esteem and excessive personal distress.

Lower cognitive functioning as a predictor of weight gain in bipolar disorder: a 12-month study

OBJECTIVE

In cross-sectional studies, elevated body mass index (BMI) is associated with cognitive impairment in bipolar disorder (BD). We investigated the direction of this association by prospectively examining changes in BMI and cognition.

METHOD

We measured BMI and performance in six cognitive domains over 12 months in 80 adolescent and young adult BD patients and 46 healthy comparison subjects (HS). Ninety-three percent of patients received pharmacotherapy and 84% were euthymic. We used repeated-measures ancova and longitudinal mixed models to investigate whether (i) higher BMI and increasing BMI over time predicted lower subsequent cognitive functioning, and (ii) lower cognitive functioning and changes in cognition predicted increasing BMI.

RESULTS

Neither baseline BMI nor BMI change predicted lower cognitive functioning. Lower baseline scores in attention, verbal memory, working memory, and a composite measure of global cognition predicted increasing BMI in patients and HS. In patients, lower cognitive functioning remained associated with increasing BMI when clinical and treatment variables were adjusted for. Improvement in working memory predicted a smaller subsequent BMI increase in patients.

CONCLUSION

Lower cognitive functioning in specific domains predicts increasing BMI in patients with BD and healthy young adults. Targeting cognition may be important for minimizing weight gain in BD.

Changes in metabolic parameters in patients with severe mental illness over a 10-year period: A retrospective cohort study

BACKGROUND

Diabetes, obesity and metabolic syndrome are highly prevalent in patients with severe mental illness and can impose a major physical health burden.

OBJECTIVE

To determine how anthropometric and metabolic features changed over time in a retrospective cohort of people with Severe Mental Illness living in Cheshire, UK.

METHODS

In all, 1307 individuals on the severe mental illness Register were followed up between 2002 and 2012 in UK general practice. Subjects were identified through a pseudanonymised search of general practice registers.

RESULTS

Baseline body mass index was 28.6 kg/m² increasing to 31.0 at 10-year follow-up ( r² = 0.84; p = 0.0002). There was a significant increase in fasting blood glucose from 5.72 to 6.79 mmol/L ( r² = 0.48; p = 0.026). Correspondingly, there was a strong positive univariate relation between increase in body mass index and fasting blood glucose ( r² = 0.54; p < 0.0001) taking into account all measurements. Fasting blood glucose also increased slightly with age ( p = 0.028). With increasing use of statins, total cholesterol fell from 4.5 to 3.9 mmol/L ( r² = 0.88; p = 0.0001), as did low-density lipoprotein cholesterol from 3.43 to 2.35 mmol/L ( r² = 0.94; p = 0.0001). In multivariate models, adjusting for age, gender, smoking and blood pressure, each unit increase in body mass index (odds ratio = 1.07 [1.01, 1.13]; p = 0.031) and triglycerides (odds ratio = 1.28 (1.06, 1.55); p = 0.009) was independently associated with an increased risk of having type 2 diabetes.

CONCLUSION

Increasing body mass index relates to increasing rates of dysglycaemia over time. Measures to encourage weight reduction should be key strategies to reduce dysglycaemia rates in severe mental illness. Prescribing statins may have been effective in improving the lipid profile in this group.

Adaptation of the Texas Implementation Medication Algorithm for Bipolar Disorder in Adult Female Offenders

Use of medication algorithms in the correctional setting may facilitate clinical decision making, improve consistency of care, and reduce polypharmacy. The objective of the present study was to evaluate effectiveness of algorithm (Texas Implementation of Medication Algorithm [TIMA])-driven treatment of bipolar disorder (BD) compared with Treatment as Usual (TAU) in the correctional environment. A total of 61 women inmates with BD were randomized to TIMA (n = 30) or TAU (n = 31) and treated over a 12-week period. The outcome measures included measures of BD symptoms, comorbid symptomatology, quality of life, and psychotropic medication utilization. In comparison with TAU, TIMA-driven treatment reduced polypharmacy, decreased overall psychotropic medication utilization, and significantly decreased use of specific classes of psychotropic medication (antipsychotics and antidepressants). This pilot study confirmed the feasibility and benefits of algorithm-driven treatment of BD in the correctional setting, primarily by enhancing appropriate use of evidence-based treatment.

Olanzapine Is Faster than Haloperidol in Inducing Metabolic Abnormalities in Schizophrenic and Bipolar Patients

The effects of olanzapine and haloperidol on metabolic parameters in bipolar patients have been evaluated much less comprehensively than in schizophrenic patients. Therefore, in this study, medical records of 343 schizophrenic and bipolar patients treated with haloperidol or olanzapine for 1 year were retrospectively reviewed and metabolic outcomes were evaluated. After 12 months of follow-up, 25.9% of patients showed ≥3 metabolic abnormalities with a point prevalence of 27.2% in the bipolar and 24.9% in the schizophrenic group: 22.0% of the schizophrenic patients treated with haloperidol and 29.8% of those treated with olanzapine achieved ≥3 metabolic alterations; in bipolar patients, these percentages were 15.8% of those treated with haloperidol and 37.8% of those treated with olanzapine (p < 0.0001). Significant changes were reported over time in fasting glucose, triglycerides and cholesterol blood levels, systolic and diastolic blood pressure, body weight, and BMI. Overall, a significant number of schizophrenic and bipolar patients treated with olanzapine showed ≥3 metabolic alterations in the first month of treatment when compared to those treated with haloperidol. Moreover, the number of olanzapine-treated patients developing metabolic changes in the first month was significantly higher in both diagnostic groups when compared to those who reached metabolic abnormal values in the subsequent 11 months. These data suggest that both antipsychotics could increase the metabolic risk in schizophrenic and bipolar patients with a higher prevalence in olanzapine-treated patients. On the other hand, olanzapine-treated patients seem to achieve metabolic abnormalities faster than haloperidol-treated subjects in both diagnostic groups.

Increased risk of hyperlipidemia in patients with bipolar disorder: a population-based study

OBJECTIVE

We conducted this nationwide study to examine the epidemiology of hyperlipidemia among Taiwanese patients with bipolar disorder.

METHODS

We used a random sample of 766,427 subjects who were ≥18 years old in 2005. Subjects with at least one primary diagnosis of bipolar disorder were identified. Individuals with a primary or secondary diagnosis of hyperlipidemia or medication treatment for hyperlipidemia were also identified. We compared the prevalence of hyperlipidemia in patients with bipolar disorder with the general population in 2005. Furthermore, we investigated this cohort from 2006 to 2010 to detect the incident cases of hyperlipidemia.

RESULTS

The prevalence of hyperlipidemia in patients with bipolar disorder was higher than that of the general population [13.5% vs. 7.9%; odds ratio, 1.75; 95% confidence interval (CI), 1.52-2.02] in 2005. The average annual incidence of hyperlipidemia in patients with bipolar disorder was also higher than that of the general population (4.37% vs. 2.55%; risk ratio, 1.66; 95% CI, 1.47-1.87) from 2006 to 2010.

CONCLUSIONS

Patients with bipolar disorder had a higher prevalence and incidence of hyperlipidemia compared with the general population. Patients with bipolar disorder coexisting hypertension exhibited a higher likelihood of hyperlipidemia.

Evaluation of left ventricular systolic and diastolic functions in bipolar patients during lithium therapy

BACKGROUND

Bipolar disorder (BD) is a chronic mental illness that is associated with substantial functional impairment, morbidity and mortality. Lithium is still considered as a first-line therapy in BD. In this study, systolic and diastolic function parameters were measured with echocardiography in BD during lithium therapy and compared to those of a control group.

METHODS

Thirty BD under lithium therapy and controls were included in our study. Blood samples were taken 12 hours after receiving the last dose of lithium treatment, in the meantime echocardiography were performed. Left ventricular systolic and diastolic function was assessed by conventional echocardiography and tissue Doppler imaging. Serum lithium level correlation between diastolic function parameters was measured.

RESULTS

Baseline demographic and laboratory results did not differ significantly between the groups. Left ventricular ejection fraction (LVEF) (66.7 ± 7.1% vs 66.7 ± 4.9%), E/A ratio (1.14 ± 0.41 vs 1.28 ± 0.29), and isovolumetric relaxation time (IVRT) (77.8 ± 14.5 cm/sec vs 75.9 ± 17.7cm/sec) measured with conventional echocardiography showed no significant difference between the two groups. Em (14.8 ± 5.2 cm/sec vs 15 ± 4.6 cm/sec), Am (12.7 ± 4.0 cm/sec vs 11.1.0 ± 2.4 cm/sec) and E/Em (5.5 ± 1.8 vs 5.9 ± 2.4) measured with tissue Doppler echocardiography showed no significant difference between the two groups. Serum lithium levels were not correlated with LVEF, mitral inflow E velocity, mitral inflow A velocity, E/A ratio, deceleration time (DT), IVRT, or E/Em ratio.

CONCLUSION

Left ventricular systolic and diastolic functions were preserved in BD during lithium therapy.

Review of the evidence: prevalence of medical conditions in the United States population with serious mental illness

OBJECTIVE

Persons with serious mental illness (SMI) have high rates of premature mortality from preventable medical conditions, but this group is underrepresented in epidemiologic surveys and we lack national estimates of the prevalence of conditions such as obesity and diabetes in this group. We performed a comprehensive review to synthesize estimates of the prevalence of 15 medical conditions among the population with SMI.

METHOD

We reviewed studies published in the peer-reviewed literature from January 2000 to August 2012. Studies were included if they assessed prevalence in a sample of 100 or more United States (US) adults with schizophrenia or bipolar disorder.

RESULTS

A total of 57 studies were included in the review. For most medical conditions, the prevalence estimates varied considerably. For example, estimates of obesity prevalence ranged from 26% to 55%. This variation appeared to be due to differences in measurement (e.g., self-report versus clinical measures) and underlying differences in study populations. Few studies assessed prevalence in representative, community samples of persons with SMI.

CONCLUSIONS

In many studies, the prevalence of medical conditions among the population with SMI was higher than among the overall US population. Screening for and monitoring of these conditions should be common practice in clinical settings serving persons with SMI.

Concomitant psychiatric problems and hormonal treatment induced metabolic syndrome in gender dysphoria individuals: a 2 year follow-up study

OBJECTIVE

Several studies indicate increased prevalence of metabolic syndrome (MetS) among patients with psychiatric disorders as well as among individuals with gender dysphoria (GD) treated by cross-sex hormonal treatment. However, the MetS prevalence among hormone treated GD individuals suffering from psychiatric problems has not been detected.

METHODS

From a sample of 146 GD patients we selected 122 metabolically healthy individuals in order to investigate the prevalence of MetS after the beginning of the cross-sex hormonal treatment in a 2 year follow-up assessment. Furthermore, we assessed differences in MetS prevalence between hormone treated GD patients with and without concomitant psychiatric problems.

RESULTS

When treated with hormone therapy, GD patients reported changes in several parameters which are clustered in MetS, with statistically significant differences compared to baseline. Glyco-insulinemic alterations were more pronounced in male to female patients (MtFs). However, weight gain, waist circumference increases, blood pressure increases, and lipid alterations were similar in MtFs and female to male patients (FtMs). 14.8% of the sample at year 1 and 17.2% at year 2 developed MetS. Among patients with concomitant psychiatric problems, 50% at year 1 and 55% at year 2 developed MetS against 8% at year 1 and 10% at year 2 of patients without concomitant psychiatric problems.

CONCLUSION

This study indicates that sex hormones induce MetS in a relatively low proportion of healthy GD individuals and especially during the first year of hormonal treatment. Most importantly, concomitant psychiatric problems are associated with considerably greater MetS prevalence in hormone treated GD individuals.

Metabolic syndrome in patients with bipolar disorder: comparison with major depressive disorder and non-psychiatric controls

OBJECTIVE

We aimed to investigate the prevalence of the metabolic syndrome (MetS) and its individual components in subjects with bipolar disorder (BD) compared to those with major depressive disorder (MDD) and non-psychiatric controls.

METHODS

We examined 2431 participants (mean age 44.3±13.0, 66.1% female), of whom 241 had BD; 1648 had MDD; and 542 were non-psychiatric controls. The MetS was ascertained according to NCEP ATP III criteria. Multivariable analyses were adjusted for age, sex, ethnicity, level of education, smoking status and severity of depressive symptoms, and in the case of BD subjects, also for psychotropic medication use.

RESULTS

Subjects with BD had a significantly higher prevalence of MetS when compared to subjects with MDD and non-psychiatric controls (28.4% vs. 20.2% and 16.5%, respectively, p<0.001), also when adjusted for sociodemographic and lifestyle factors (OR 1.52, 95% CI: 1.09-2.12, p=0.02 compared to MDD; OR 1.79, 95% CI: 1.20-2.67, p=0.005 compared to non-psychiatric controls). The differences between BD subjects with controls could partly be ascribed to a higher mean waist circumference (91.0 cm vs. 88.8, respectively, p=0.03). In stratified analysis, the differences in the prevalence of MetS between patients with BD and MDD were found in symptomatic but not in asymptomatic cases.

CONCLUSION

This study confirms a higher prevalence of MetS in patients with BD compared to both MDD patients and controls. Specifically at risk are patients with a higher depression score and abdominal obesity.

Taking the fuel out of the fire: evidence for the use of anti-inflammatory agents in the treatment of bipolar disorders

BACKGROUND

Inflammation has emerged as a potentially important factor - and thus putative pharmacological target - in the pathology of bipolar disorders. However to date no systematic evaluations of the efficacy of add on anti-inflammatory treatment for the depressive and manic episodes have been carried out.

METHODS

Sixteen articles were ultimately identified - by computer searches of databases (including PsycINFO, MEDLINE, and EMBASE), supplemented by hand searches and personal communication - as meeting study inclusion criteria.

RESULTS

Anti-manic effects were evaluated in two trials, one of adjunctive n-acetyl cysteine (NAC), one of omega-3 fatty acids (O3FA), and significant improvements only emerged for NAC. Celecoxib had a rapid but short-lived antidepressant effect. Despite limited effects of O3FA on symptoms, imaging data demonstrated alterations in neuronal functioning that might have longer-term therapeutic effects. Evidence was strongest for adjunctive NAC in bipolar depression though conclusions are limited by small sample sizes.

LIMITATIONS

Definitive conclusions are limited by the paucity of data, small study sizes, and the variability in methodology used.

CONCLUSIONS

Current evidence for aspirin or celecoxib is insufficient though further investigation of the potential of celecoxib in early illness onset is warranted. Variable evidence exists for add-on O3FA though an indication of short-term treatment effects on membrane fluidity and neuronal activity suggest longer follow-up assessment is needed. The strongest evidence emerged for NAC in depression and future studies must address the role of illness duration and patients׳ baseline medications on outcomes. Careful consideration of lithium toxicity in the elderly and renal impaired is essential.

Cardiovascular risk factors and 30-year cardiovascular risk in homeless adults with mental illness

Background

Cardiovascular disease (CVD) is a leading cause of death among homeless people. This study examines CVD risk factors and 30-year CVD risk in a population of homeless individuals with mental illness.

Methods

CVD risks factors were assessed in 352 homeless individuals with mental illness in Toronto, Canada, at the time of their enrollment in the At Home/Chez Soi Project, a randomized trial of a Housing First intervention. The 30-year risk for CVD (coronary death, myocardial infarction, and fatal or nonfatal stroke) was calculated using published formulas and examined for association with need for mental health services, diagnosis of psychotic disorder, sex, ethnicity, access to a family physician and diagnosis of substance dependence.

Results

The 30-year CVD risk for study participants was 24.5 ± 18.4%, more than double the reference normal of 10.1 ± 7.21% (difference = −13.0% 95% CI −16.5% to −9.48%). Univariate analyses revealed 30-year CVD risk was greater among males (OR 3.99, 95% CI 2.47 to 6.56) and those who were diagnosed with substance dependence at baseline (OR 1.94 95% CI 1.23 to 3.06) and reduced among those who were non-white (OR 0.62 95% CI 0.39 to 0.97). In adjusted analyses, only male sex (OR 4.71 95% CI 2.76 to 8.05) and diagnosis of substance dependence (OR 1.78 95% CI 1.05 to 3.00) remained associated with increased CVD risk.

Conclusions

Homeless people with mental illness have highly elevated 30-year CVD risk, particularly among males and those diagnosed with substance dependence. This study adds to the literature by reporting on CVD risk in a particularly vulnerable population of homeless individuals experiencing mental illness, and by using a 30-year CVD risk calculator which provides a longer time-frame during which the effect of modifiable CVD risk factors could be mitigated.

Trial registration

Current Controlled Trials ISRCTN42520374

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-015-1472-4) contains supplementary material, which is available to authorized users.

EPA - Le projet mPIVAS : l’EPA s’engage avec les jeunes psychiatres dans la santé sur smartphone !

Les antipsychotiques ont largement montré leur efficacité dans le traitement pharmacologique du trouble bipolaire et de la schizophrénie. Cependant, ils sont associés à des effets secondaires qui peuvent affecter la qualité et l’espérance de vie des patients [1]. Notamment, bien que la prise de poids constitue un des facteurs majeurs de non compliance au traitement, peu d’interventions visant à en limiter l’impact ont été évaluées [2]. De plus, le suivi de ces effets secondaires est peu fréquemment effectué de manière systématique et standardisée.

Du fait d’une diminution de leur prix et de leur simplicité d’utilisation, les smartphones font partie du quotidien d’une majorité de patients, ce qui en fait un outil de choix pour le recueil de données de santé. Notamment, par une détection plus précoce, ou encore d’une prévention plus efficace, des économies substantielles pourraient être réalisées au niveau européen [3].

Le projet mPIVAS (mHealth psychoeducational intervention versus antipsychotic-induced side effects), porté par l’Early Career Psychiatrists Committee de l’European Psychiatric Association (EPA-ECPC) a pour objectif d’utiliser la technologie des smartphones pour évaluer et diminuer la sévérité des effets secondaires des traitements antipsychotiques. PsyLog, une application smartphone spécialement dédiée pour ce projet, permet à tout moment au patient de renseigner le type et la sévérité des effets secondaires dont il souffre, et au clinicien d’accéder à ces données. Elle offre également des conseils d’hygiène de vie, des techniques de coping personnalisées, et des informations sur les traitements. Son efficacité va être évaluée par un projet de recherche clinique multicentrique, contrôlé et randomisé. L’ensemble du projet et l’application PsyLog ont pour but ultime de faciliter la communication entre patients et cliniciens, en offrant un support pour échanger sur la maladie, les traitements et leurs effets secondaires.

Cardiac risk factors and metabolic syndrome in patients with schizophrenia admitted to a general hospital psychiatric unit

OBJECTIVE

The study aimed to evaluate the prevalence of cardiovascular risk (CVR) factors and metabolic syndrome (MS) in patients with schizophrenia.

MATERIALS AND METHODS

By consecutive sampling, 143 patients (of age ≥ 20 years), out of total 159 patients with schizophrenia admitted to the inpatient unit were evaluated for the coronary heart disease (CHD) risk as per Framingham (10-year all CHD events) function/risk equation and systematic coronary risk evaluation (SCORE) - 10-year cardiovascular mortality risk (CMR). Prevalence of MS was estimated by using the consensus definition.

RESULTS

Fifty-two (36.4%) patients fulfilled the criteria for MS. 10-year CHD risk was 1.65%, and 10-year CMR was 1.39%. Compared to females, males had higher Framingham score (1.96 ± 2.74 vs. 1.09 ± 0.41, U value 1987.5*, P < 0.05).

CONCLUSION

Patients of schizophrenia have a high prevalence of MS and CVR factors. Hence, there is a need to screen the patient of schizophrenia for the same and manage the same as early as possible during the course of illness.

Cardiovascular risk factors among bipolar disorder patients admitted to an inpatient unit of a tertiary care hospital in India

OBJECTIVE

The study aimed to examine the prevalence of cardiovascular risk factors in patients with bipolar disorder.

METHODS

By consecutive sampling, 93 inpatients (aged ≥20 years) diagnosed with bipolar disorder were evaluated for 10 year coronary heart disease (CHD) risk and 10-year cardiovascular mortality risk (CMR) on the Framingham (10-year all CHD events) function/risk equation and Systematic Coronary Risk Evaluation (SCORE) respectively.

RESULTS

Ten-year CHD risk was 3.36% and 10-year CMR was estimated to be 1.73%. One tenth (10.7%) of the sample was found to have very high/high CHD risk (≥10) and 6.45% of the sample had high CMR risk (≥5). More than half (54.88%) of patients had metabolic syndrome. Compared to females, males had higher Framingham function score (4.09±5.75 vs 1.59±1.05, U value - 634.5*, p<0.05) and had higher very high/high CHD risk (≥10) (15.1% vs 0, χ(2) 4.58, p<0.05).

CONCLUSIONS

Findings of the present study suggest the presence of cardiovascular risk factors and higher rate of metabolic syndrome in patients with bipolar disorder. Considering this fact, there is an urgent need for routine screening for cardiovascular risk factors in these patients. Mental health professionals should be aware of these risks; there is need to develop preventive strategies to reduce the cardiovascular risk in this population.