Cardiovascular Disease and Metabolic Risk Factors in Male Patients With Schizophrenia, Schizoaffective Disorder, and Bipolar Disorder

Factors that influence participation in physical activity for people with bipolar disorder: a synthesis of qualitative evidence

BACKGROUND

Mental health problems contribute significantly to the overall disease burden worldwide and are major causes of disability, suicide, and ischaemic heart disease. People with bipolar disorder report lower levels of physical activity than the general population, and are at greater risk of chronic health conditions including cardiovascular disease and obesity. These contribute to poor health outcomes. Physical activity has the potential to improve quality of life and physical and mental well-being.

OBJECTIVES

To identify the factors that influence participation in physical activity for people diagnosed with bipolar disorder from the perspectives of service users, carers, service providers, and practitioners to help inform the design and implementation of interventions that promote physical activity.

SEARCH METHODS

We searched MEDLINE, PsycINFO, and eight other databases to March 2021. We also contacted experts in the field, searched the grey literature, and carried out reference checking and citation searching to identify additional studies. There were no language restrictions.

SELECTION CRITERIA

We included qualitative studies and mixed-methods studies with an identifiable qualitative component. We included studies that focused on the experiences and attitudes of service users, carers, service providers, and healthcare professionals towards physical activity for bipolar disorder.

DATA COLLECTION AND ANALYSIS

We extracted data using a data extraction form designed for this review. We assessed methodological limitations using a list of predefined questions. We used the "best fit" framework synthesis based on a revised version of the Health Belief Model to analyse and present the evidence. We assessed methodological limitations using the CASP Qualitative Checklist. We used the GRADE-CERQual (Confidence in the Evidence from Reviews of Qualitative research) guidance to assess our confidence in each finding. We examined each finding to identify factors to inform the practice of health and care professionals and the design and development of physical activity interventions for people with bipolar disorder.

MAIN RESULTS

We included 12 studies involving a total of 592 participants (422 participants who contributed qualitative data to an online survey, 170 participants in qualitative research studies). Most studies explored the views and experiences of physical activity of people with experience of bipolar disorder. A number of studies also reported on personal experiences of physical activity components of lifestyle interventions. One study included views from family carers and clinicians. The majority of studies were from high-income countries, with only one study conducted in a middle-income country. Most participants were described as stable and had been living with a diagnosis of bipolar disorder for a number of years. We downgraded our confidence in several of the findings from high confidence to moderate or low confidence, as some findings were based on only small amounts of data, and the findings were based on studies from only a few countries, questioning the relevance of these findings to other settings. We also had very few perspectives of family members, other carers, or health professionals supporting people with bipolar disorder. The studies did not include any findings from service providers about their perspectives on supporting this aspect of care. There were a number of factors that limited people's ability to undertake physical activity. Shame and stigma about one's physical appearance and mental health diagnosis were discussed. Some people felt their sporting skills/competencies had been lost when they left school. Those who had been able to maintain exercise through the transition into adulthood appeared to be more likely to include physical activity in their regular routine. Physical health limits and comorbid health conditions limited activity. This included bipolar medication, being overweight, smoking, alcohol use, poor diet and sleep, and these barriers were linked to negative coping skills. Practical problems included affordability, accessibility, transport links, and the weather. Workplace or health schemes that offered discounts were viewed positively. The lack of opportunity for exercise within inpatient mental health settings was a problem. Facilitating factors included being psychologically stable and ready to adopt new lifestyle behaviours. There were positive benefits of being active outdoors and connecting with nature. Achieving balance, rhythm, and routine helped to support mood management. Fitting physical activity into a regular routine despite fluctuating mood or motivation appeared to be beneficial if practised at the right intensity and pace. Over- or under-exercising could be counterproductive and accelerate depressive or manic moods. Physical activity also helped to provide a structure to people's daily routines and could lead to other positive lifestyle benefits. Monitoring physical or other activities could be an effective way to identify potential triggers or early warning signs. Technology was helpful for some. People who had researched bipolar disorder and had developed a better understanding of the condition showed greater confidence in managing their care or providing care to others. Social support from friends/family or health professionals was an enabling factor, as was finding the right type of exercise, which for many people was walking. Other benefits included making social connections, weight loss, improved quality of life, and better mood regulation. Few people had been told of the benefits of physical activity. Better education and training of health professionals could support a more holistic approach to physical and mental well-being. Involving mental health professionals in the multidisciplinary delivery of physical activity interventions could be beneficial and improve care. Clear guidelines could help people to initiate and incorporate lifestyle changes.

AUTHORS' CONCLUSIONS

There is very little research focusing on factors that influence participation in physical activity in bipolar disorder. The studies we identified suggest that men and women with bipolar disorder face a range of obstacles and challenges to being active. The evidence also suggests that there are effective ways to promote managed physical activity. The research highlighted the important role that health and care settings, and professionals, can play in assessing individuals' physical health needs and how healthy lifestyles may be promoted. Based on these findings, we have provided a summary of key elements to consider for developing physical activity interventions for bipolar disorder.

Prevalence and risk factors for metabolic syndrome in schizophrenia, schizoaffective, and bipolar disorder

BACKGROUND

Metabolic Syndrome (MetS) is a risk for developing cardiovascular diseases and its prevalence is especially high in psychiatric patients. To date, there is limited data from the United Arab Emirates (UAE) on the prevalence of MetS. Therefore, we aimed to investigate its prevalence and possible risk factors in a large sample of psychiatric patients in the UAE.

METHODS

A cross-sectional study was conducted at Al-Ain Hospital, in Al-Ain City, UAE. We collected demographic and clinical data on patients diagnosed with schizophrenia, schizoaffective, and bipolar affective disorder in the period between January 2017 and December 2020. This included their secondary diagnosis (psychiatric or medical), vital signs (heart rate, systolic and diastolic blood pressure, Body Mass Index [BMI]), metabolic parameters (fasting blood glucose, cholesterol, triglycerides, low-density lipoprotein, high-density lipoproteins), and prescribed medications. We used the American Association of Clinical Endocrinology (AACE) criteria to diagnose MetS.

RESULTS

We included 889 subjects and of these, 79.8% (N = 709) had a BMI ≥25 kg/m2 and 9.8% (N = 87) had no abnormal metabolic parameters. Overall, 28.1% (N = 250) had MetS with no statistical difference between the three groups. Fasting blood glucose levels and abnormally elevated triglycerides were significant predictors for MetS.

CONCLUSION

Our study found that around one in three patients had MetS irrespective of the three diagnoses. Some variables were significant predictors for MetS. Our findings were consistent with other studies and warrant the need for regular screening and management of abnormal metabolic parameters.

Effects of Psychotropic Medication on Somatic Sterol Biosynthesis of Adult Mice

Polypharmacy is commonly used to treat psychiatric disorders. These combinations often include drugs with sterol biosynthesis inhibiting side effects, including the antipsychotic aripiprazole (ARI), and antidepressant trazodone (TRZ). As the effects of psychotropic medications are poorly understood across the various tissue types to date, we investigated the effects of ARI, TRZ, and ARI + TRZ polypharmacy on the post-lanosterol biosynthesis in three cell lines (Neuro2a, HepG2, and human dermal fibroblasts) and seven peripheral tissues of an adult mouse model. We found that both ARI and TRZ strongly interfere with the function of 7-dehydrocholesterol reductase enzyme (DHCR7) and lead to robust elevation in 7-dehydrocholesterol levels (7-DHC) and reduction in desmosterol (DES) across all cell lines and somatic tissues. ARI + TRZ co-administration resulted in summative or synergistic effects across the utilized in vitro and in vivo models. These findings suggest that at least some of the side effects of ARI and TRZ are not receptor mediated but arise from inhibiting DHCR7 enzyme activity. We propose that interference with sterol biosynthesis, particularly in the case of simultaneous utilization of medications with such side effects, can potentially interfere with functioning or development of multiple organ systems, warranting further investigation.

Non-psychiatric hospitalization length-of-stay for patients with psychotic disorders: A mixed methods study

OBJECTIVE

Patients with psychotic disorders experience higher rates of chronic and acute non-psychotic diseases and have frequent non-psychiatric hospitalizations which result in both longer and more varied length-of-stay (LoS) than other patients. This study seeks to use a patient-centered perspective to examine LoS.

METHODS

This article reports Phase Two of a mixed methods, exploratory sequential study on non-psychiatric hospitalizations for individuals with psychotic disorders. Patients' experiences were used to guide a quantitative analysis of LoS using a general linear model.

RESULTS

Medical comorbidities were the patient characteristics which had the largest effect on LoS. Certain processes of care highlighted by patients from Phase One were also associated with longer LoS, including: physical restraints (105%), psychiatric consults (20%) and continuous observation (133%). Only recent in-system outpatient appointments were associated with shorter LoS. Data integration highlighted that factors which were important to patients such as partner support, were not always quantitatively significant, while others like medical comorbidities and use of physical restraints were points of congruence.

CONCLUSIONS

Medical comorbidities were highly associated with LoS but processes relating to longer LoS are those that are used to manage symptoms of acute psychosis. Clinicians should develop policies and procedures that address psychosis symptoms effectively during non-psychiatric hospitalizations. Further research is needed to understand which patients with psychotic disorders are at highest risk of extended length-of-stay.

Cardiovascular and metabolic risk in outpatients with schizoaffective disorder treated with antipsychotics: Results from the CLAMORS study

Aim

To assess the coronary heart disease (CHD) risk and prevalence of the metabolic syndrome (MS) in patients with schizoaffective disorder (SD) receiving antipsychotics.

Methods

Patients meeting DSM-IV criteria for SD and receiving antipsychotic treatment were recruited in a retrospective, cross-sectional, multicenter study (the CLAMORS study). MS was defined as at least three of the following components: waist circumference greater than 102cm (men)/greater than 88cm (women); serum triglycerides greater or equal to 150mg/dl; HDL cholesterol less than 40mg/dl (men)/less than 50mg/dl (women); blood pressure greater or equal to 130/85mmHg; fasting blood glucose greater or equal to 110mg/dl. The 10-year CHD risk was assessed by the Systematic coronary risk evaluation (SCORE) (cardiovascular mortality) and Framingham (any cardiovascular event) functions. Clinical severity was assessed using the PANSS and CGI-S scales.

Results

A total of 268 valuable patients with SD (127 men, 48.1%), 41.9±12.3years (mean±S.D.), were analyzed. The 10-year overall cardiovascular mortality and CV-event risk were 0.8±1.6 (SCORE) and 6.5±6.8 (Framingham), respectively. A high/very high risk of any CV event (Framingham≥10%) was associated with severity [CGI-S=3–4; OR: 4.32 (1.15–16.26), P = 0.03)]. MS was present in 26.5% (95%CI: 21.2–31.8) of subjects, without gender differences, but significantly associated with patient's impression of severity: CGI=3–4; OR=1.90 (0.83–4.36), and CGI=5–7; OR=3.13 (1.06–9.24), P = 0<0.001, and age [OR=1.91 (1.09–3.34), P<0.024)].

Conclusions

CHD risk and MS prevalence were high among patients with SD, being MS prevalence associated with age and severity of disease.

Using Information on Patient Adherence to Antipsychotic Medication to Understand Their Adherence to Other Medications

PURPOSE

To assess how patient adherence to atypical antipsychotic medications is associated with adherence to concurrently used medications that treat other serious mental illnesses (SMIs), type-2 diabetes, or hypertension.

METHODS

Among patients who had been diagnosed with an SMI (i.e., bipolar disorder, major depressive disorder, or schizophrenia) in the previous year, we used health-insurance claims data to measure adherence based on medication fills. Patients diagnosed with an SMI were required to have 1) a prescription for an atypical oral antipsychotic, and 2) another SMI therapy or oral anti-diabetic or antihypertensive agent in the same year. The patient's concurrent adherence to an antipsychotic and one of 23 other medications was measured by the proportion of days covered (PDC) over a one-year period. Patients were considered adherent when the PDC was ≥ 80%. The strength of the association between their atypical antipsychotic adherence and their concurrent medication adherence was evaluated using the following metrics: accuracy, positive predictive value (PPV), and negative predictive value (NPV).

RESULTS

The average (standard deviation) age of patients (N = 129,614) was 44.8 (14.8) years and 62.2% of patients were female. The median accuracy based on atypical antipsychotic adherence to the other 23 medications was 67% (range, 55-71%; statistically different from 50% accuracy in all cases, P < 0.001). Accuracy was higher than physician predictions of adherence from previous studies (53%). The negative predictive value of antipsychotic adherence (75%; range, 62-88%) was generally higher than the PPV (62%; range, 43-67%; all, P < 0.001).

CONCLUSION

Information on patient adherence to antipsychotics provides significant insight into adherence to other medications often used by patients with SMI. Because NPV is higher than PPV, adherence to antipsychotics is likely to be a necessary but not sufficient condition for patients with SMI regarding adherence to non-SMI medications.

Medication Adherence Patterns Among Patients with Multiple Serious Mental and Physical Illnesses

INTRODUCTION

Patients with mental and physical health conditions are complex to treat and often use multiple medications. It is unclear how adherence to one medication predicts adherence to others. A predictive relationship could permit less expensive adherence monitoring if overall adherence could be predicted through tracking a single medication.

METHODS

To test this hypothesis, we examined whether patients with multiple mental and physical illnesses have similar adherence trajectories across medications. Specifically, we conducted a retrospective cohort analysis using health insurance claims data for enrollees who were diagnosed with a serious mental illness, initiated an atypical antipsychotic, as well as an SSRI (to treat serious mental illness), biguanides (to treat type 2 diabetes), or an ACE inhibitor (to treat hypertension). Using group-based trajectory modeling, we estimated adherence patterns based on monthly estimates of the proportion of days covered with each medication. We measured the predictive value of the atypical antipsychotic trajectories to adherence predictions based on patient characteristics and assessed their relative strength with the R-squared goodness of fit metric.

RESULTS

Within our sample of 431,591 patients, four trajectory groups were observed: non-adherent, gradual discontinuation, stop-start, and adherent. The accuracy of atypical antipsychotic adherence for predicting adherence to ACE inhibitors, biguanides, and SSRIs was 44.5, 44.5, and 49.6%, respectively (all p < 0.001 vs. random). We also found that information on patient adherence patterns to atypical antipsychotics was a better predictor of patient adherence to these three medications than would be the case using patient demographic and clinical characteristics alone.

CONCLUSION

Among patients with multiple chronic mental and physical illnesses, patterns of atypical antipsychotic adherence were useful predictors of adherence patterns to a patient's adherence to ACE inhibitors, biguanides, and SSRIs.

FUNDING

Otsuka Pharmaceutical Development & Commercialization, Inc.

Cardiovascular risk and bipolar disorder: factors associated with a positive coronary calcium score in patients with bipolar disorder type 1

Objective:

Cardiovascular disease is the leading cause of death in patients with bipolar disorder. The aim of this study was to evaluate the factors associated with positive coronary calcium score (CCS) in individuals with bipolar disorder type 1.

Methods:

Patients from the Bipolar Disorder Program at Hospital de Clínicas de Porto Alegre, Brazil, underwent computed tomography scanning for calcium score measurement. Clinical and sociodemographic variables were compared between patients according to their CCS status: negative (CCS = 0) or positive (CCS > 0). Poisson regression analysis was used to examine the association of CCS with number of psychiatric hospitalizations.

Results:

Out of 41 patients evaluated, only 10 had a positive CCS. Individuals in the CCS-positive group were older (55.2±4.2 vs. 43.1±10.0 years; p = 0.001) and had more psychiatric hospitalizations (4.7±3.0 vs. 2.6±2.5; p = 0.04) when compared with CCS- negative subjects. The number of previous psychiatric hospitalizations correlated positively with CCS (p < 0.001).

Conclusion:

Age and number of psychiatric hospitalizations were significantly associated with higher CCS, which might be a potential method for diagnosis and stratification of cardiovascular disease in bipolar patients. There is a need for increased awareness of risk assessment in this population.

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.

Impact of medical comorbidity in psychiatric inpatient length of stay

Background: Medical comorbidity is associated with worse psychiatric outcomes, reduced functioning and higher services use, including inpatient psychiatric care.Aim: We explored the relation between medical comorbidity and length of stay, adjusting for potential confounders.Methods: We retrospectively analyzed an administrative database comprising all inpatient admissions between 2005 and 2014 at the Department of Psychiatry and Mental Health at Vila Nova de Gaia/Espinho Healthcare Center, Vila Nova de Gaia - Portugal. Psychiatric diagnosis and medical comorbidity were coded according to single-level and multi-level classification schemes, respectively, as proposed by the Clinical Classification Software.Results: We included a total of 4613 psychiatric inpatient admissions. The prevalence of medical comorbidity was 25.4% and it was associated with an average increase of 3.5 days (p < 0.001) in length of stay, comparing to patients without medical comorbidity. After adjusting for potential confounders, such as age, sex and year of discharge, medical comorbidity was associated with a 13% increase in length of stay.Conclusions: Medical comorbidity has measurable effects in inpatient outcomes, such as the length of stay and should be a major focus for intervention, in ambulatory care but also during psychiatric hospitalization.

Assessment of a Chronic Disease Self-Management Program to Increase Physical Activity of Adults With Severe Mental Illness

Individuals with severe mental illness (SMI) experience excessive co-morbidities and early mortality. Self-management programs have the potential to increase physical activity levels of individuals with SMI and reduce the incidence of co-morbidities. The purpose of this quality improvement project was to assess a chronic disease self-management program (CDSMP) to increase physical activity of adults with SMI measured by daily steps tracked with a pedometer. Results of data analysis indicated no statistically significant difference in steps across the six-week program. However, findings suggested that individuals with SMI are capable of using a pedometer and tracking steps on a daily basis.

Improving Physical Health in Patients With Chronic Mental Disorders: Twelve-Month Results From a Randomized Controlled Collaborative Care Trial

OBJECTIVE

Persons with chronic mental disorders are disproportionately burdened with physical health conditions. We determined whether Life Goals Collaborative Care compared to usual care improves physical health in patients with mental disorders within 12 months.

METHODS

This single-blind randomized controlled effectiveness study of a collaborative care model was conducted at a midwestern Veterans Affairs urban outpatient mental health clinic. Patients (N = 293 out of 474 eligible approached) with an ICD-9-CM diagnosis of schizophrenia, bipolar disorder, or major depressive disorder and at least 1 cardiovascular disease risk factor provided informed consent and were randomized (February 24, 2010, to April 29, 2015) to Life Goals (n = 146) or usual care (n = 147). A total of 287 completed baseline assessments, and 245 completed 12-month follow-up assessments. Life Goals included 5 weekly sessions that provided semistructured guidance on managing physical and mental health symptoms through healthy behavior changes, augmented by ongoing care coordination. The primary outcome was change in physical health-related quality of life score (Veterans RAND 12-item Short Form Health Survey [VR-12] physical health component score). Secondary outcomes included control of cardiovascular risk factors from baseline to 12 months (blood pressure, lipids, weight), mental health-related quality of life, and mental health symptoms.

RESULTS

Among patients completing baseline and 12-month outcomes assessments (N = 245), the mean age was 55.3 years (SD = 10.8; range, 25-78 years), and 15.4% were female. Intent-to-treat analysis revealed that compared to those in usual care, patients randomized to Life Goals had slightly increased VR-12 physical health scores (coefficient = 3.21; P = .01).

CONCLUSIONS

Patients with chronic mental disorders and cardiovascular disease risk who received Life Goals had improved physical health-related quality of life.

TRIAL REGISTRATION

ClinicalTrials.gov identifiers: NCT01487668 and NCT01244854.

Effects of an electronic reminder system on guideline-concordant treatment of psychotic disorders : Results from a pilot feasibility trial

BACKGROUND

Adherence to evidence-based guidelines is essential for the treatment outcome of psychotic disorders. Previous studies showed that IT-supported pathways are able to increase guideline adherence in psychiatric care. This paper describes a pilot study on the development of an electronic recall-reminder-system (RRS) for supporting guideline-adherent treatment in outpatient care of patients with chronic psychotic disorders and analyses its feasibility.

METHODS

Guidelines were integrated in the RRS software M.E.M.O.R.E.S. Software training for the staff was provided. We compared the number of conducted vs. guideline-recommended interventions 6 months before and after implementation. Subsequently both the caregivers' and the patients' satisfaction with the RRS was evaluated.

RESULTS

Guideline adherence in general was low and the RRS was barely used. After its implementation a significant increase was observed in chemogram-check-ups and diagnostics regarding cardiovascular risks (esp. ECG). Both patients and professionals described problems with integrating the RRS in their daily routine and questioned the usefulness of the guidelines for chronically ill, although they basically approved its importance and usefulness.

CONCLUSIONS

Participants appreciated the idea of supporting guideline adherence with an IT-system, but there seemed to be major obstacles to implementation: caregivers appear to be concerned of being exposed or questioned, technical difficulties might lead to avoidance, and there seems to be a lack of knowledge and awareness about the health risks for individuals with psychotic disorders. Possibly guidelines adapted for the chronically ill would find more acceptance. Technical simplifications and better information should be considered prior to further attempts to implement IT-supported guidelines in order to increase acceptance.

Patterns of Adherence to Oral Atypical Antipsychotics Among Patients Diagnosed with Schizophrenia

BACKGROUND

Poor medication adherence contributes to negative treatment response, symptom relapse, and hospitalizations in schizophrenia. Many health plans use claims-based measures like medication possession ratios or proportion of days covered (PDC) to measure patient adherence to antipsychotics. Classifying patients solely on the basis of a single average PDC measure, however, may mask clinically meaningful variations over time in how patients arrive at an average PDC level.

OBJECTIVE

To model patterns of medication adherence evolving over time for patients with schizophrenia who initiated treatment with an oral atypical antipsychotic and, based on these patterns, to identify groups of patients with different adherence behaviors.

METHODS

We analyzed health insurance claims for patients aged ≥ 18 years with schizophrenia and newly prescribed oral atypical antipsychotics in 2007-2013 from 3 U.S. insurance claims databases: Truven MarketScan (Medicaid and commercial) and Humana (Medicare). Group-based trajectory modeling (GBTM) was used to stratify patients into groups with distinct trends in adherence and to estimate trends for each group. The response variable was the probability of adherence (defined as PDC ≥ 80%) in each 30-day period after the patient initiated antipsychotic therapy. GBTM proceeds from the premise that there are multiple distinct adherence groups. Patient demographics, health status characteristics, and health care resource use metrics were used to identify differences in patient populations across adherence trajectory groups.

RESULTS

Among the 29,607 patients who met the inclusion criteria, 6 distinct adherence trajectory groups emerged from the data: adherent (33%); gradual discontinuation after 3 months (15%), 6 months (7%), and 9 months (5%); stop-start after 6 months (15%); and immediate discontinuation (25%). Compared to patients 18-24 years of age in the adherent group, patients displaying a stop-start pattern after 6 months had greater odds of having a history of drug abuse (OR = 1.46; 95% CI = 1.26-1.66; P < 0.001), alcohol abuse (OR = 1.34; 95% CI = 1.14-1.53; P< 0.001), and a codiagnosis of major depressive disorder (OR = 1.24; 95% CI = 1.05-1.44; P < 0.001) and were less likely to be aged 35-54 years (OR = 0.66; 95% CI = 0.46-0.85; P < 0.001).

CONCLUSIONS

Longitudinal medication adherence patterns can be expressed as distinct trajectories associated with specific patient characteristics and health care utilization patterns. We found 6 distinct patterns of adherence to antipsychotics over 12 months. Patients in different groups may warrant different types of clinical interventions to prevent hospitalizations, longer hospital stays, and increased clinical complexity. For example, clinicians may consider regular home visits, assertive community treatment, and other related interventions for patients at high risk of immediate discontinuation. Health plans should consider supplementing claims-based adherence measures with new technologies that are able to track patient adherence patterns over time.

DISCLOSURES

Otsuka Pharmaceutical Development & Commercialization provided support for this research. MacEwan and Shafrin are employees of Precision Health Economics, which was contracted by Otsuka Pharmaceutical Development & Commercialization to conduct this study. Lakdawalla is the Chief Scientific Officer and a founding partner of Precision Health Economics. Forma is an employee of Otsuka Pharmaceutical Development & Commercialization. Hatch is a former employee of Otsuka Pharmaceutical Development & Commercialization and is a current employee of ODH, Inc. Lindenmayer has received grant/research support from Janssen, Lilly, AstraZeneca, Johnson & Johnson, Pfizer, BMS, Otsuka, Dainippon, and Roche and is a consultant for Janssen, Lilly, Merck, Shire, and Lundbeck. Portions of this study were presented as a poster at the American Society of Clinical Psychopharmacology Annual Meeting in Miami Beach, Florida; June 23, 2015; and at the 28th Annual U.S. Psychiatric and Mental Health Congress; San Diego, California; September 12, 2015. Study concept and design were contributed by Forma, Ladkawalla, MacEwan, and Shafrin, along with Hatch and Lindenmayer. MacEwan, Shafrin, Forma, and Lakdawalla collected the data, along with Hatch and Lindenmayer. Data interpretation was performed by Hatch, Lindenmayer, MacEwan, and Shafrin, assisted by Forma and Lakdawalla. The manuscript was written and revised by MacEwan, Forma, and Shafrin, along with Hatch Lakdawalla, and Lindenmayer.

Long-term risk of myocardial infarction and stroke in bipolar I disorder: A population-based Cohort Study

OBJECTIVES

To estimate the risk of fatal and non-fatal myocardial infarction (MI) and stroke in patients with bipolar I disorder compared to people without bipolar I disorder.

METHOD

Utilizing a records-linkage system spanning 30 years (1966-1996), a population-based cohort of 334 subjects with bipolar I disorder and 334 age and sex-matched referents from Olmsted County, Minnesota, U.S. was identified. Longitudinal follow-up continued until incident MI or stroke (confirmed by board-certified cardiologist/neurologist), death, or study end date (December 31, 2013). Cox proportional hazards models assessed the hazard ratio (HR) for MI or stroke, adjusting for potential confounders.

RESULTS

There was an increased risk of fatal or non-fatal MI or stroke (as a composite outcome) in patients with bipolar I disorder [HR 1.54, 95% confidence interval (CI) 1.02, 2.33; p=0.04]. However, after adjusting for baseline cardiovascular risk factors (alcoholism, hypertension, diabetes, and smoking), the risk was no longer significantly increased (HR 1.19, 95% CI 0.76, 1.86; p=0.46).

LIMITATIONS

Small sample size for the study design. Findings were not retained after adjustment for cardiovascular disease risk factors. Psychotropic medication use during the follow-up was not ascertained and was not included in the analyses.

CONCLUSION

This study in a geographically defined region in the U.S. demonstrated a significant increased risk of MI or stroke in bipolar I disorder, which was no longer significant after adjustment for cardiovascular risk factors.

A design and focus group evaluation of dietary choices tools for an underserved population

Introduction:

Our objective was to develop and evaluate dietary teaching tools for a select population diagnosed with a severe mental illness and limited financial ability. Patients with severe mental illnesses face many challenges, including common health comorbidities of diabetes, high blood pressure, high cholesterol, and obesity. Cognitive deficits may limit educational programming; financial resources can affect access to a healthy diet. The Integrated Multidisciplinary Program of Assertive Community Treatment (IMPACT) program, a university-based program, provides individualized services to this population. One focus is healthy nutritional choices.

Methods:

In Phase One, a clinical pharmacist and a first-year pharmacy resident created visual aids. These cards were given to health care providers (HCPs) to be used with IMPACT members. HCPs were asked to participate in a focus group and provide feedback. Phase Two: Based on specific focus group feedback, additional resources were created to address identified nutritional needs.

Results:

Phase One: Ten cards were created and distributed to the HCPs. A focus group was conducted. HCPs reported the cards were useful in opening dietary choices dialogues and were able to give more specific information on alternative choices. Phase Two: From focus group feedback, specific cards for disease states, calorie guidelines, and budget limitations were developed. HCPs immediately utilized them.

Discussion:

This pilot project was used to design and create educational cards to facilitate discussions on healthy or healthier dietary choices. Feedback from the HCPs participating in the focus group was positive, and they were enthusiastic about both sets of cards, particularly those pertaining to budget choices.

Comparison of psychotic bipolar disorder, schizoaffective disorder, and schizophrenia: an international, multisite study

OBJECTIVE

Nosological distinctions among schizoaffective disorder (SA), bipolar I disorder with psychotic features (BDp), and schizophrenia (SZ) remain unresolved.

METHOD

We compared 2269 subjects with psychotic features in DSM-IV-TR diagnoses (1435 BDp, 463 SZ, 371 SA) from 8 collaborating international sites, by 12 sociodemographic and clinical measures, all between diagnostic pairs.

RESULTS

In bivariate comparisons, SA was consistently intermediate between BDp and SZ for 11/12 features (except onset stressors), and SZ vs. BDp differed in all 12 factors. SA differed from both BDp and SZ in 9/12 factors: SA and BDp were similar in education and suicidal ideation or acts; SA and SZ were similar in education, onset stressors, and substance abuse. Meta-analytic comparisons of diagnostic pairs for 10 categorical factors indicated similar differences of SA from both SZ and BDp. Multivariate modeling indicated significantly independent differences between BDp and SZ (8 factors), SA vs. SZ (5), and BDp vs. SA (3). Measurement variance was similar for all diagnoses.

CONCLUSION

SA was consistently intermediate between BDp and SZ. The three diagnostic groups ranked: BDp > SA > SZ related to lesser morbidity or disability. The findings are not consistent with a dyadic Kraepelinian categorization, although the considerable overlap among the three DSM-IV diagnostic groups indicates uncertain boundaries if they represent distinct disorders.

Relative Risk of Acute Myocardial Infarction in People with Schizophrenia and Bipolar Disorder: A Population-Based Cohort Study

OBJECTIVE

Despite high mortality associated with serious mental illness, risk of acute myocardial infarction (AMI) remains unclear, especially for patients with bipolar disorder. The main objective was to investigate the relative risk of AMI associated with schizophrenia and bipolar disorders in a national sample.

METHOD

Using nationwide administrative data, an 11-year historic cohort study was assembled, comprised of cases aged 18 and above who had received a diagnosis of schizophrenia or bipolar disorder, compared to a random sample of all other adults excluding those with diagnoses of serious mental illness. Incident AMI as a primary diagnosis was ascertained. Hazard ratios stratified by age and gender were calculated and Cox regression models were used to adjust for other covariates.

RESULTS

A total of 70,225 people with schizophrenia or bipolar disorder and 207,592 people without serious mental illness were compared. Hazard ratios in men adjusted for age, income and urbanization were 1.15 (95% CI 1.01~1.32) for schizophrenia and 1.37 (1.08~1.73)for bipolar disorder, and in women, 1.85 (1.58~2.18) and 1.88(1.47~2.41) respectively. Further adjustment for treated hypertension, diabetes and hyperlipidaemia attenuated the hazard ratio for men with schizophrenia but not the other comparison groups. Hazard ratios were significantly stronger in women than men and were stronger in younger compared to older age groups for both disorders; however, gender modification was only significant in people with schizophrenia, and age modification only significant in people with bipolar disorder.

CONCLUSIONS

In this large national sample, schizophrenia and bipolar disorder were associated with raised risk of AMI in women and in the younger age groups although showed differences in potential confounding and modifying factors.

Association between history of psychosis and cardiovascular disease in bipolar disorder

OBJECTIVES

To determine whether clinical features of bipolar disorder, such as history of psychosis, and cardiovascular disease (CVD) risk factors contribute to a higher risk of CVD among patients with bipolar disorder.

METHODS

This cross-sectional study included a sample of 988 patients with bipolar I or bipolar II disorder or schizoaffective bipolar type confirmed by the Structured Clinical Interview for DSM-IV-TR disorders (SCID). Medical comorbidity burden was quantified utilizing the Cumulative Illness Severity Rating Scale (CIRS). This 13-item organ-based scale includes cardiac disease severity quantification. Confirmed by medical record review, patients who scored 1 (current mild or past significant problem) or higher in the cardiac item were compared by logistic regression to patients who scored 0 (no impairment), adjusting for CVD risk factors that were selected using a backwards stepwise approach or were obtained from the literature.

RESULTS

In a multivariate model, age [odds ratio (OR) = 3.03, 95% confidence interval (CI): 1.66-5.54, p < 0.0001], hypertension (OR = 2.43, 95% CI: 1.69-3.55, p < 0.0001), and history of psychosis (OR = 1.48, 95% CI: 1.03-2.13, p = 0.03) were associated with CVD. When CVD risk factors from the literature were added to the analysis, age (OR = 3.19, 95% CI: 1.67-6.10, p = 0.0005) and hypertension (OR = 2.46, 95% CI: 1.61-3.76, p < 0.01) remained significant, with psychosis being at the trend level (OR = 1.43, 95% CI: 0.96-2.13, p = 0.08).

CONCLUSIONS

The phenotype of psychotic bipolar disorder may reflect higher illness severity with associated cardiac comorbidity. Further studies are encouraged to clarify the effect of the disease burden (i.e., depression), lifestyle, and treatment interventions (i.e., atypical antipsychotics) on this risk association.

Schizoaffective disorder and metabolic syndrome: A meta-analytic comparison with schizophrenia and other non-affective psychoses

People with psychotic disorders, including schizophrenia (SCZ), schizoaffective disorder (SD), or other non-affective psychoses (ONAP), have a higher risk of metabolic syndrome (MetS) than general population. However, previous meta-analyses failed to explore if people with SD are more likely to suffer from MetS than SCZ and ONAP. We carried out a systematic review and meta-analysis comparing rates of MetS in SD with those in SCZ or ONAP. We searched main electronic databases for relevant articles published up to January 2015, and for unpublished data, contacting corresponding authors, to minimize selective reporting bias. Odds ratios (ORs) based on random effects models, with 95% confidence intervals (CIs), and heterogeneity (I(2)), were estimated. We performed leave-one-out, quality-based, and subgroups analyses to check findings validity. Testing for publication bias, Egger's test estimates were reported. We included 7616 individuals (1632 with SD and 5984 with SCZ/ONAP) from 30 independent samples. SD, as compared with SCZ/ONAP, had a random-effect pooled OR (95%CI) for MetS of 1.41 (1.23-1.61; p < 0.001; I(2) = 5%). No risk of publication bias was found (p = 0.85). Leave-one-out, sensitivity, and subgroups analyses confirmed the association. To our knowledge, this is the first meta-analysis comparing MetS comorbidity between individuals with SD and those with SCZ or ONAP. SD subjects are more likely to suffer from MetS, with consistent findings across the studies included. However, the role of explanatory factors of this association, and the relative contribution of MetS subcomponents, deserve further research.

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.

Relationship of clinical course of illness variables to medical comorbidities in 900 adult outpatients with bipolar disorder

BACKGROUND

Medical illnesses are highly comorbid with bipolar disorder, but their relationship to illness characteristics has not been previously delineated.

METHODS

The incidence of 34 medical conditions and 6 poor prognosis factors (PPFs) was derived from answers to a questionnaire in over 900 outpatients with bipolar disorder who gave informed consent. The relationship of PPFs to the number of medical comorbidities was examined by Mann-Whitney U, Pearson r, and logistic regression.

RESULTS

When examined individually, each of the 6 PPFs associated with an adverse course of bipolar disorder was significantly related to the number of medical comorbidities patients had. When age, gender, and independence of their relationships to each other were controlled for via regression, 3 of the PPFs remained significant (anxiety disorder, childhood abuse, and age of onset), and having 20 or more prior episodes was a strong trend. The number of PPFs was correlated with the number of comorbidities, although the above 3 PPFs show a similar magnitude of relationship.

CONCLUSION

A history of childhood adversity, early age of onset of bipolar disorder, and an anxiety comorbidity were independently related to the number of medical comorbidities that patients experienced as adults. While the nature and mechanisms of this linkage remain to be further explored, the findings indicate the need for greater attention to and treatment of these 3 PPFs in hopes of ameliorating both the adverse course of bipolar illness and the burden of medical comorbidities with which they are associated.

Enhancing outreach for persons with serious mental illness: 12-month results from a cluster randomized trial of an adaptive implementation strategy

Background

Few implementation strategies have been empirically tested for their effectiveness in improving uptake of evidence-based treatments or programs. This study compared the effectiveness of an immediate versus delayed enhanced implementation strategy (Enhanced Replicating Effective Programs (REP)) for providers at Veterans Health Administration (VA) outpatient facilities (sites) on improved uptake of an outreach program (Re-Engage) among sites not initially responding to a standard implementation strategy.

Methods

One mental health provider from each U.S. VA site (N = 158) was initially given a REP-based package and training program in Re-Engage. The Re-Engage program involved giving each site provider a list of patients with serious mental illness who had not been seen at their facility for at least a year, requesting that providers contact these patients, assessing patient clinical status, and where appropriate, facilitating appointments to VA health services. At month 6, sites considered non-responsive (N = 89, total of 3,075 patients), defined as providers updating documentation for less than <80% of patients on their list, were randomized to two adaptive implementation interventions: Enhanced REP (provider coaching; N = 40 sites) for 6 months followed by Standard REP for 6 months; versus continued Standard REP (N = 49 sites) for 6 months followed by 6 months of Enhanced REP for sites still not responding. Outcomes included patient-level Re-Engage implementation and utilization.

Results

Patients from sites that were randomized to receive Enhanced REP immediately compared to Standard REP were more likely to have a completed contact (adjusted OR = 2.13; 95% CI: 1.09–4.19, P = 0.02). There were no differences in patient-level utilization between Enhanced and Standard REP sites.

Conclusions

Enhanced REP was associated with greater Re-Engage program uptake (completed contacts) among sites not responding to a standard implementation strategy. Further research is needed to determine whether national implementation of Facilitation results in tangible changes in patient-level outcomes.

Trial registration

ISRCTN: ISRCTN21059161

Electronic supplementary material

The online version of this article (doi:10.1186/s13012-014-0163-3) contains supplementary material, which is available to authorized users.

Factors influencing cardiometabolic monitoring practices in an adult community mental health service

People with serious mental illness are reported to live up to 25 years less than the general population. Cardiovascular disease and diabetes risk factors, as well as mental health, treatment, lifestyle, service provision, and socioeconomic factors, all contribute to this health inequity. Cardiometabolic monitoring (CMM) is one strategy used to attend to some cardiometabolic risk factors. The present study aimed to explore factors that influence decisions to undertake CMM in an Australian adult community mental health service. A CMM audit tool was designed to capture demographic, clinical, and care-provision factors. A 6-month retrospective file audit from the total population of consumers of an adult community mental health service was undertaken, where no existing CMM guidelines or practices were in place. The study findings confirmed a higher prevalence of cardiometabolic disorders in the study population compared to the general population. Complete CMM occurred in 24% of the study population (n = 94). No consumer demographic, socioeconomic, or clinical characteristics, or care-provision factors, were found to be predictors of complete CMM. The random manner in which CMM was observed to occur in the study highlights the need for standardized CMM guidelines and capacity-building strategies to improve current CMM practices.

Risk of myocardial infarction and stroke in bipolar disorder: a systematic review and exploratory meta-analysis

OBJECTIVE

To review the evidence on and estimate the risk of myocardial infarction and stroke in bipolar disorder.

METHOD

A systematic search using MEDLINE, EMBASE, PsycINFO, Web of Science, Scopus, Cochrane Database of Systematic Reviews, and bibliographies (1946 - May, 2013) was conducted. Case-control and cohort studies of bipolar disorder patients age 15 or older with myocardial infarction or stroke as outcomes were included. Two independent reviewers extracted data and assessed quality. Estimates of effect were summarized using random-effects meta-analysis.

RESULTS

Five cohort studies including 13 115 911 participants (27 092 bipolar) were included. Due to the use of registers, different statistical methods, and inconsistent adjustment for confounders, there was significant methodological heterogeneity among studies. The exploratory meta-analysis yielded no evidence for a significant increase in the risk of myocardial infarction: [relative risk (RR): 1.09, 95% CI 0.96-1.24, P = 0.20; I(2)  = 6%]. While there was evidence of significant study heterogeneity, the risk of stroke in bipolar disorder was significantly increased (RR 1.74, 95% CI 1.29-2.35; P = 0.0003; I(2)  = 83%).

CONCLUSION

There may be a differential risk of myocardial infarction and stroke in patients with bipolar disorder. Confidence in these pooled estimates was limited by the small number of studies, significant heterogeneity and dissimilar methodological features.

SMI life goals: description of a randomized trial of a collaborative care model to improve outcomes for persons with serious mental illness

BACKGROUND

Persons with serious mental illnesses (SMI) are more likely to die earlier than the general population, primarily due to increased medical burden, particularly from cardiovascular disease (CVD). Life Goals Collaborative Care (LG-CC) is designed to improve health outcomes in SMI through self-management, care management, and provider support. This single-blind randomized controlled effectiveness study will determine whether patients with SMI receiving LG-CC compared to usual care (UC) experience improved physical health in 12 months.

METHODS

Patients diagnosed with SMI and at least one CVD risk factor receiving care at a VA mental health clinic were randomized to LG-CC or UC. LG-CC included five self-management sessions covering mental health symptom management reinforced through health behavior change, care coordination and health monitoring via a registry, and provider feedback. The primary outcome is change in physical health-related quality of life score (VR-12) from baseline to 12 months. Secondary outcomes include changes in mental health-related quality of life, CVD risk factors (blood pressure, BMI), and physical activity from baseline to 12 months later.

RESULTS

Out of 304 enrolled, 139 were randomized to LG-CC and 145 to UC. Among patients completing baseline assessments (N = 284); the mean age was 55.2 (SD = 10.9; range 28-75 years), 15.6% were women, the majority (62%) were diagnosed with depression, and the majority (63%) were diagnosed with hypertension or were overweight (BMI mean ± SD = 33.3 ± 6.3). Baseline VR-12 physical health component score was below population norms (50.0 ± SD = 10) at 33.4 ± 11.0.

CONCLUSIONS

Findings from this trial may inform initiatives to improve physical health for SMI patient populations.

Are ICAM, VCAM and E-selectin levels different in first manic episode and subsequent remission?

OBJECTIVE

In bipolar patients, the rate of mortality from cardiovascular diseases is two-fold higher than that in other psychiatric disorders. The risk of cardiovascular diseases was found to be associated with some cellular adhesion molecules: Intracellular adhesion molecule (ICAM), vascular cell adhesion molecule (VCAM) and E-selectin. The aim of this study was to compare ICAM, VCAM and E-selectin levels at first manic episode and subsequent remission period, and to investigate the presence of a relationship between adhesion molecules levels and clinical and metabolic variables.

METHODS

In line with this purpose, 50 patients diagnosed with mania according to DSM IV-TR criteria, who had their first episode were evaluated consecutively. The control group consisted of 50 healthy individuals without any history of psychiatric admission and treatment, matched with the manic patients in terms of age, gender, BMI and smoking status. For the confirmation of subsequent remission period (n=40), Young Mania Rating Scale and Hamilton Depression Rating Scale were used. In three groups plasma ICAM, VCAM and E-selectin, fasting blood glucose, total cholesterol, LDL cholesterol, HDL cholesterol and triglyceride levels were measured and compared.

RESULTS

ICAM and VCAM levels were found to be higher in first manic episode than those in subsequent remission and healthy individuals. A weak correlation was found between ICAM levels and YMRS scores in manic patients. In first manic episode, a weak correlation was found between ICAM and total cholesterol and LDL cholesterol levels and a weak correlation was found between ICAM, VCAM and E-selectin levels and BMI.

CONCLUSION

In the present study, which is the first investigation of proinflammatory and prothrombotic state, which is defined as a risk for metabolic syndrome and cardiovascular disease, in bipolar disorder, ICAM and VCAM levels were found to be higher in first episode mania than those in subsequent remission and healthy individuals. As the study group included first episode mani cases, there was no effect of chronic psychotropic use. Probable risk of cardiovascular disease, reflected by increased ICAM and VCAM levels is already present in bipolar patients at the onset of the disease. In addition, ICAM and VCAM levels increasing in manic episode, return to normal in the subsequent remission period.

Melatonin attenuates antipsychotic metabolic effects: an eight-week randomized, double-blind, parallel-group, placebo-controlled clinical trial

OBJECTIVE

Second-generation antipsychotics (SGAs) are among the first-line treatments for bipolar disorder and schizophrenia, but have a tendency to generate metabolic disturbances. These features resemble a metabolic syndrome for which a central autonomic imbalance has been proposed that may originate from the hypothalamic suprachiasmatic nuclei. In a clinical trial, we hypothesized that melatonin, a hormone that regulates the suprachiasmatic nucleus, could attenuate SGA-induced adverse metabolic effects.

METHODS

In an eight-week, double-blind, randomized, placebo-controlled, parallel-group clinical trial, we evaluated the metabolic effect of melatonin in SGA-treated patients in terms of weight, blood pressure, lipid, glucose, body composition, and anthropometric measures. A total of 44 patients treated with SGAs, 20 with bipolar disorder and 24 with schizophrenia, randomly received placebo (n = 24) or melatonin 5 mg (n = 20).

RESULTS

The melatonin group showed a decrease in diastolic blood pressure (5.1 versus 1.1 mmHg for placebo, p = 0.003) and attenuated weight gain (1.5 versus 2.2 kg for placebo, F = 4.512, p = 0.040) compared to the placebo group. The strong beneficial metabolic effects of melatonin in comparison to placebo on fat mass (0.2 versus 2.7 kg, respectively, p = 0.032) and diastolic blood pressure (5.7 versus 5.5 mmHg, respectively, p = 0.001) were observed in the bipolar disorder and not in the schizophrenia group. No adverse events were reported.

CONCLUSIONS

Our results show that melatonin is effective in attenuating SGAs' adverse metabolic effects, particularly in bipolar disorder. The clinical findings allow us to propose that SGAs may disturb a centrally mediated metabolic balance that causes adverse metabolic effects and that nightly administration of melatonin helps to restore. Melatonin could become a safe and cost-effective therapeutic option to attenuate or prevent SGA metabolic effects.

Paraoxonase 1 activity and lipid profile in schizophrenic patients

OBJECTIVE

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

PATIENTS AND METHODS

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

RESULTS

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

CONCLUSION

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

Does training practice nurses to carry out physical health checks for people with severe mental illness increase the level of screening for cardiovascular risk?

BACKGROUND

Compared to the general population, people with severe mental illness (SMI) have a higher risk of developing cardiovascular disease (CVD). Authors of clinical guidelines advise annual screening for CVD risk factors with appropriate lifestyle counselling. There are seven recommended elements of this health check: blood pressure, body mass index (or waist circumference), blood glucose, serum cholesterol, diet advice, exercise recommendations and smoking cessation guidance.

AIM

To establish whether training practice nurses increases the proportion of patients with SMI who are screened for CVD risk factors and given lifestyle advice in primary care.

METHOD

A before-and-after audit of 400 patients on the SMI registers in five primary care centres in Northampton, England.

RESULTS

Following the training, the proportion of patients with SMI who received all elements of the health check significantly increased (pre-training: n = 33, 8%, 95% CI = 6-11; post-training: n = 60, 15%, 95% CI = 12-19; RR = 1.82, 95% CI = 1.22-2.72, p = .01).

CONCLUSION

Training practice nurses about CVD prevention in people with SMI may be effective in increasing the proportion of patients in this group who receive a comprehensive health check.

Burden of schizophrenia on selected comorbidity costs

Patients suffering from schizophrenia tend to have high rates of medical comorbidities and mortality.This study evaluated the healthcare costs of patients with schizophrenia and specific comorbidities relative to patients without schizophrenia with the same comorbidities, using Medicaid insurance claims databases from five states (from 2001-2010). The most common comorbidities were hypertension (48.8%), substance abuse (39.1%) and diabetes (28.4%). Patients with schizophrenia incurred greater all-cause monthly healthcare costs (cost difference [95% CI]: US$978 [933; 1024]) and comorbidity-related costs (cost difference [95% CI]: US$288 [269; 307]). Schizophrenia was also associated with significantly higher comorbidity-related costs in each comorbidity subgroup (among the three most common comorbidities: 99% higher in hypertension, 293% in substance abuse, and 105% in diabetes). The results suggest that patients with schizophrenia and comorbidities common in patients with schizophrenia had higher all-cause and comorbidity-related healthcare costs compared with patients without schizophrenia with the same comorbidities.

Effectiveness of the chronic disease self-management program for persons with a serious mental illness: a translation study

Evaluation of evidence-based interventions in new settings and new populations is the hallmark of successful translation. We evaluated the Chronic Disease Self-Management Program in persons with serious mental illness who were receiving care through Michigan Community Mental Health Services (N = 139). At 6-months, participants demonstrated improvements in health indicators (fatigue, quality of life, sleep, depression, health distress, and days health bad) and health behaviors (medical adherence and communication with doctor). The program was successfully administrated in a "real world" setting and continues to be used. In addition, the program appears to be an effective resource for people with serious mental illness.

Cluster randomized adaptive implementation trial comparing a standard versus enhanced implementation intervention to improve uptake of an effective re-engagement program for patients with serious mental illness

Background

Persons with serious mental illness (SMI) are disproportionately burdened by premature mortality. This disparity is exacerbated by poor continuity of care with the health system. The Veterans Health Administration (VA) developed Re-Engage, an effective population-based outreach program to identify veterans with SMI lost to care and to reconnect them with VA services. However, such programs often encounter barriers getting implemented into routine care. Adaptive designs are needed when the implementation intervention requires augmentation within sites that do not initially respond to an initial implementation intervention. This protocol describes the methods used in an adaptive implementation design study that aims to compare the effectiveness of a standard implementation strategy (Replicating Effective Programs, or REP) with REP enhanced with External Facilitation (enhanced REP) to promote the uptake of Re-Engage.

Methods/Design

This study employs a four-phase, two-arm, longitudinal, clustered randomized trial design. VA sites (n = 158) across the United States with a designated Re-Engage provider, at least one Veteran with SMI lost to care, and who received standard REP during a six-month run-in phase. Subsequently, 88 sites with inadequate uptake were stratified at the cluster level by geographic region (n = 4) and VA regional service network (n = 20) and randomized to REP (n = 49) vs. enhanced REP (n = 39) in phase two. The primary outcome was the percentage of veterans on each facility outreach list documented on an electronic web registry. The intervention was at the site and network level and consisted of standard REP versus REP enhanced by external phone facilitation consults. At 12 months, enhanced REP sites returned to standard REP and 36 sites with inadequate participation received enhanced REP for six months in phase three. Secondary implementation outcomes included the percentage of veterans contacted directly by site providers and the percentage re-engaged in VA health services.

Discussion

Adaptive implementation designs consisting of a sequence of decision rules that are tailored based on a site’s uptake of an effective program may produce more relevant, rapid, and generalizable results by more quickly validating or rejecting new implementation strategies, thus enhancing the efficiency and sustainability of implementation research and potentially leading to the rollout of more cost-efficient implementation strategies.

Trial registration

Current Controlled Trials ISRCTN21059161.

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.

The prevalence and correlates of alcohol use disorder amongst bipolar patients in a hospital setting, Malaysia

OBJECTIVE

To determine the prevalence of alcohol-use disorder and associated correlates amongst bipolar patients in a university hospital in Malaysia.

METHODS

In this cross-sectional study, a total of 121 bipolar disorder patients were included. Their alcohol use disorders were assessed with the Mini International Neuropsychiatric Interview (plus version) and the Addiction Severity Index-Lite-Clinical Factors version. The number of lifetime hospitalizations and the survival days (the number of days between the last discharge and the most current readmission) were calculated.

RESULTS

The prevalence of alcohol-use disorder amongst bipolar patients was 18.2%. Indian ethnicity was the only demographic factor that was statistically associated with alcohol-use disorder (p < 0.03). Those with alcohol-use disorder had a significantly higher rate of suicidal attempt (p < 0.01) and more psychiatric hospitalizations than those without after adjusting for gender, race, employment status, education level and duration of illness (p < 0.01).

CONCLUSIONS

The prevalence of alcohol-use disorder was low in bipolar patients but highin the general population of Malaysia. Since alcohol-use disorder, as well as the potential interactions with the course of the disorder, is highly prevalent amongst bipolar patients, alcohol use should be addressed in these patients.

Management of Medication-Related Cardiometabolic Risk in Patients with Severe Mental Illness

Severe psychotic disorders, which on their own may be a risk factor for metabolic disorder and cardiovascular illness, are clinically compounded by the significant adverse side effects of antipsychotic medications. The majority of patients with severe psychotic disorders (i.e., schizophrenia, bipolar disorder, mania, and depression) must take antipsychotic medications to treat their psychoses and, subsequently, will require efficacious interventions to manage the metabolic consequences of pharmacologic treatment to mitigate excessive mortality associated with cardiovascular illness. We have reviewed the metabolic consequences of antipsychotic treatment and discussed pilot findings from a new nonpharmacologic intervention study looking at the clinical benefits of regular exercise as a management tool for the cardiometabolic risk factors in a cohort with severe mental illness.

Characteristics of patients diagnosed with schizoaffective disorder compared with schizophrenia and bipolar disorder

OBJECTIVES

Information on basic demographic and clinical characteristics of schizoaffective disorder is sparse and subject to sampling bias and low diagnostic reliability. In the present study we aimed to: (i) estimate the demographic and clinical descriptors in schizoaffective disorder patients and (ii) compare the findings with those with schizophrenia and bipolar disorder.

METHODS

To minimize sampling bias and low reliability, we systematically reviewed studies that simultaneously compared schizoaffective, schizophrenia, and bipolar disorder patients. We estimated demographic, clinical, and psychometric characteristics based on weighted pooling, and compared disorders by meta-analysis. We also estimated whether schizoaffective disorder is closer to schizophrenia or to bipolar disorder.

RESULTS

We identified 50 studies that included 18312 patients. Most characteristics of the 2684 schizoaffective disorder patients fell between those of 4814 diagnosed with bipolar disorder and 10814 with schizophrenia. However, the schizoaffective group had the highest proportion of women (52%), had the youngest age at illness onset (23.3 ± 3.8 years), and had the highest standardized ratings of psychosis and depression. Differences in pooled parameters between schizoaffective versus schizophrenia and versus bipolar disorder subjects were similar. Values for patients with schizoaffective disorders mostly were intermediate between schizophrenia and bipolar disorder. However, the majority of studies showed schizoaffective patients to be more like schizophrenia than bipolar disorder patients in seven out of nine demographic and clinical categories as well as in five out of eight psychometric measures. These results remained similar when we restricted the analyses to studies with psychotic bipolar disorder patients only or to studies using the Diagnostic and Statistical Manual of Mental Disorders (DSM)-IIIR and DSM-IV only.

CONCLUSIONS

The present study provided estimates of important characteristics of schizoaffective disorder - as balanced as possible in summarizing the findings from observational studies as unbiased as possible. The results did not support the hypothesis that schizoaffective disorder is primarily an affective disorder. The stronger resemblance of schizoaffective disorder to schizophrenia than to bipolar disorder needs further investigation.

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.

Factors affecting hospital stay in psychiatric patients: the role of active comorbidity

BACKGROUND

Research on length of stay (LOS) of psychiatric inpatients is an under-investigated issue. In this naturalistic study factors which affect LOS of two groups of patients were investigated, focusing on the impact on LOS of medical comorbidity severe enough to require referral.

METHODS

Active medical comorbidity was quantified using referral as the criterion. The study sample consisted of 200 inpatients with the diagnosis of schizophrenia and 228 inpatients suffering from bipolar disorder (type I or II). Jonckheere and Mann-Whitney tests were used to estimate the influence of referrals on LOS, and regression analyses isolated variables associated with LOS separately for each group.

RESULTS

Half of the patients needed one or more referrals for a non-psychiatric problem. The most common medical condition of patients with bipolar disorder was arterial hypertension. Inpatients with schizophrenia suffered mostly from an endocrine/metabolic disease - 12% of referrals were for Hashimoto's thyroiditis. A positive linear trend was found between LOS and number of referrals; the effect was greater for schizophrenia patients. The effect of referrals on LOS was verified by regression in both groups. Overall, referred patients showed greater improvement in GAF compared to controls.

CONCLUSIONS

To our knowledge this was the first study to investigate physical comorbidity in psychiatric inpatients using the criterion of referral to medical subspecialties. Comorbidity severe enough to warrant referral is a significant determinant of hospital stay. This insight may prove useful in health care planning. The results show lack of effective community care in the case of schizophrenia and negative symptoms may be the cause of this. Our findings call for more attention to be paid to the general medical needs of inpatients with severe mental health and concurrent severe medical comorbidity.

Cardiovascular risk factors in patients with first-episode psychosis in São Paulo, Brazil

OBJECTIVE

The objective was to evaluate the cardiovascular profile of first-episode psychosis patients in São Paulo, Brazil, an issue that has not been sufficiently explored in low-/middle-income countries.

METHOD

A cross-sectional study was performed 1 to 3 years after an initial, larger survey that assessed first-episode psychosis in São Paulo. We evaluated cardiovascular risk factors and lifestyle habits using standard clinical examination and laboratory evaluation.

RESULTS

Of 151 contacted patients, 82 agreed to participate (mean age=35 years; 54% female). The following diagnoses were found: 20.7% were obese, 29.3% had hypertension, 39.0% had dyslipidemia, 19.5% had metabolic syndrome, and 1.2% had a >20% 10-year risk of coronary heart disease based on Framingham score. Also, 72% were sedentary, 25.6% were current smokers, and 7.3% reported a heavy alcohol intake.

CONCLUSION

Compared to other samples, ours presented a distinct profile of higher rates of hypertension and diabetes (possibly due to dietary habits) and lower rates of smoking and alcohol intake (possibly due to higher dependence on social support). Indirect comparison vs. healthy, age-matched Brazilians revealed that our sample had higher frequencies of hypertension, diabetes and metabolic syndrome. Therefore, we confirmed a high cardiovascular risk in first-episode psychosis in Brazil. Transcultural studies are needed to investigate to which extent lifestyle contributes to such increased risk.

Design and rationale of a randomized controlled trial to reduce cardiovascular disease risk for patients with bipolar disorder

BACKGROUND

Persons with bipolar disorder (BD) experience a disproportionate burden of medical comorbidity, notably cardiovascular disease (CVD), contributing to decreased function and premature mortality. We describe the design, rationale, and baseline findings for the Self-Management Addressing Heart Risk Trial (SMAHRT), a randomized controlled effectiveness trial of an intervention (Life Goals Collaborative Care; LGCC) designed to reduce CVD risk factors and improve physical and mental health outcomes in patients with BD.

METHODS

Patients with BD and at least one CVD risk factor were recruited from a VA healthcare system and randomized to either LGCC or usual care (UC). LGCC participants attended four weekly, group-based self-management sessions followed by monthly individual contacts supportive of health behavior change and ongoing medical care management. In contrast, UC participants received monthly wellness newsletters. Physiological and questionnaire assessments measured changes in CVD outcomes and quality of life (QOL) over 24 months.

RESULTS

Out of the 180 eligible patients, 134 patients were enrolled (74%) and 118 started the study protocols. At baseline (mean age=54, 17% female, 5% African American) participants had a high burden of clinical risk with nearly 70% reporting at least three CVD risk factors including, smoking (41%) and physical inactivity (57%). Mean mental and physical HRQOL scores were 1.5 SD below SF-12 population averages.

CONCLUSION

SMAHRT participants experienced substantial CVD morbidity and risk factors, poor symptom control, and decreased QOL. LGCC is the first integrated intervention for BD designed to mitigate suboptimal health outcomes by combining behavioral medicine and care management strategies.

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.

Physical health behaviours and health locus of control in people with schizophrenia-spectrum disorder and bipolar disorder: a cross-sectional comparative study with people with non-psychotic mental illness

BACKGROUND

People with mental illness experience high levels of morbidity and mortality from physical disease compared to the general population. Our primary aim was to compare how people with severe mental illness (SMI; i.e. schizophrenia-spectrum disorders and bipolar disorder) and non-psychotic mental illness perceive their: (i) global physical health, (ii) barriers to improving physical health, (iii) physical health with respect to important aspects of life and (iv) motivation to change modifiable high-risk behaviours associated with coronary heart disease. A secondary aim was to determine health locus of control in these two groups of participants.

METHODS

People with SMI and non-psychotic mental illness were recruited from an out-patient adult mental health service in London. Cross-sectional comparison between the two groups was conducted by means of a self-completed questionnaire.

RESULTS

A total of 146 people participated in the study, 52 with SMI and 94 with non-psychotic mental illness. There was no statistical difference between the two groups with respect to the perception of global physical health. However, physical health was considered to be a less important priority in life by people with SMI (OR 0.5, 95% CI 0.2-0.9, p = 0.029). There was no difference between the two groups in their desire to change high risk behaviours. People with SMI are more likely to have a health locus of control determined by powerful others (p < 0.001) and chance (p = 0.006).

CONCLUSIONS

People with SMI appear to give less priority to their physical health needs. Health promotion for people with SMI should aim to raise awareness of modifiable high-risk lifestyle factors. Findings related to locus of control may provide a theoretical focus for clinical intervention in order to promote a much needed behavioural change in this marginalised group of people.

Oral paliperidone: a review of its use in the management of schizoaffective disorder

Oral paliperidone extended or prolonged release (Invega®) is an atypical antipsychotic, and is the first agent approved for the treatment of schizoaffective disorder. Paliperidone (or 9-hydroxyrisperidone) is the major active metabolite of the well known atypical antipsychotic risperidone, and its mechanism of action is thought to be the antagonism of dopamine D(2) and serotonin 5-HT(2A) receptors. The clinical efficacy of paliperidone was demonstrated in two 6-week, randomized, double-blind, placebo-controlled, multicentre trials in patients with schizoaffective disorder. One trial was flexible dose in design (3-12 mg/day) and the other was fixed dose in design (3-6 and 9-12 mg/day). Compared with placebo, the change from baseline at study end in the Positive and Negative Syndrome Scale (PANSS) total score (primary endpoint) was significantly greater with paliperidone 3-12 mg/day in one trial and with 9-12 mg/day (but not 3-6 mg/day) in the other trial. However, pooled analyses reported a significantly greater change in PANSS total score across all paliperidone dosages than with placebo. Paliperidone was generally well tolerated in the 6-week trials, and no unexpected adverse events were reported. The most commonly reported treatment-emergent adverse events were headache, tremor, dizziness, insomnia, nausea, akathisia, dyspepsia, hypertonia, somnolence and sedation. Although long-term efficacy and tolerability data and comparisons with other antipsychotics are needed, paliperidone appears to be a useful agent for the short-term management of patients with schizoaffective disorder.

Surgical treatment of morbid obesity among patients with bipolar disorder: a research agenda

INTRODUCTION

Persons with bipolar disorder (BD) have an increased risk of obesity and associated diseases. Success of current behavioral treatment for obesity in patients with BD is inadequate.

METHODS

Existing literature on bariatric surgery outcomes in populations with BD were reviewed, and needed areas of research were identified.

RESULTS

Knowledge about bariatric surgery outcomes among patients with BD is limited. Available evidence indicates that bariatric surgery is a uniquely effective intervention for achieving and sustaining significant weight loss and improving metabolic parameters. Notwithstanding the benefits of bariatric surgery in nonpsychiatric samples, individuals with BD (and other serious and persistent mental illnesses) have decreased access to this intervention. Areas of needed research include: (1) current practice patterns; (2) metabolic course after bariatric surgery; (3) psychiatric course after bariatric surgery; and (4) mechanisms of psychiatric effect.

CONCLUSION

The considerable hazards posed by obesity in BD, as measured by illness complexity and premature mortality, provide the basis for hypothesizing that bariatric surgery may prevent and improve morbidity in this patient population. In addition to physical health benefits, bariatric surgery may exert a robust and favorable effect on the course and outcome of BD and reduce obesity-associated morbidity, the most frequent cause of premature mortality in this patient population.

Schizoaffective disorder: a review of current research themes and pharmacological management

Despite a clear recognition of the existence of patients with co-morbid psychotic and mood symptoms, many studies conclude that schizoaffective disorder as a distinct diagnosis does not exist. Regardless of one's opinion on schizoaffective disorder, psychiatrists remain dependent on phenomenological descriptions for diagnosing psychiatric disorders, and these phenomenological criteria are also used for clinical trial entry. On the other hand, many psychiatrists prescribe for specific target symptoms and do not always rigidly follow diagnostic systems and, moreover, there have been very few trials that have specifically studied schizoaffective disorder. Despite recent intriguing work in epidemiology, genetics, neurocognition and electrophysiology, the diagnosis of schizoaffective disorder remains controversial. Taken together, these studies suggest that even if schizoaffective disorder exists as a separate diagnosis, it may not be useful clinically due to considerable variation in the general use of this term. It is possible that diagnostic criteria in the future will include genetic, imaging and electrophysiological components, and that this will allow for better differentiation of disease states among the heterogeneous pool of patients currently believed to have schizophrenia, schizoaffective disorder or bipolar disorder. Although it is likely that most, if not all, antipsychotics are effective for schizoaffective disorder, given recent regulatory approval of a specific antipsychotic agent for the acute treatment of schizoaffective disorder, greater attention is now being focused on the entity of schizoaffective disorder and potential treatment decisions. However, based on the limited extant evidence, it is not yet possible to make definitive treatment recommendations for schizoaffective disorder. Additional clinical trials that include other antipsychotics, mood stabilizers and antidepressants are desirable and necessary before clear and comprehensive evidence-based treatment recommendations can be made.