Medical comorbidity in women and men with bipolar disorders: a population-based controlled study

Prevalence of multimorbidity in people with and without severe mental illness: a systematic review and meta-analysis

BACKGROUND

People with severe mental illness, such as schizophrenia-spectrum disorder and bipolar disorder, face poorer health outcomes from multiple chronic illnesses. Physical multimorbidity, the coexistence of two or more chronic physical conditions, and psychiatric multimorbidity, the coexistence of three or more psychiatric disorders, are both emerging concepts useful in conceptualising disease burden. However, the prevalence of physical and psychiatric multimorbidity in this cohort is unknown. This study aimed to estimate the absolute prevalence of both physical and psychiatric multimorbidity in people with severe mental illness, and also compare the odds of physical multimorbidity prevalence against people without severe mental illness.

METHODS

We searched CINAHL, EMBASE, PubMed, and PsycINFO from inception until Feb 15, 2024, for observational studies that measured multimorbidity prevalence. To be included, studies had to have an observational study design, be conducted in an adult population (mean age ≥18 years) diagnosed with either schizophrenia-spectrum disorder or bipolar disorder, and include a measurement of occurrence of either physical multimorbidity (≥2 physical health conditions) or psychiatric multimorbidity (≥3 psychiatric conditions total, including the severe mental illness). From control studies, a random-effects meta-analysis compared odds of physical multimorbidity between people with and without severe mental illness. Absolute prevalence of physical and psychiatric multimorbidity in people with severe mental illness was also calculated. Sensitivity and meta-regression analyses tested an array of demographic, diagnostic, and methodological variables.

FINDINGS

From 11 144 citations we included 82 observational studies featuring 1 623 773 individuals with severe mental illness (specifically schizophrenia-spectrum disorder or bipolar disorder), of which 21 studies featured 13 235 882 control individuals without severe mental illness (descriptive data for the entire pooled cohorts were not available for numbers of males and females, age, and ethnicity). This study did not feature involvement of people with lived experience. The odds ratio (OR) of physical multimorbidity between people with and without severe mental illness was 2·40 (95% CI 1·57-3·65, k=11, p=0·0009). This ratio was higher in younger severe mental illness populations (mean age ≤40 years, OR 3·99, 95% CI 1·43-11·10) compared with older populations (mean age >40 years, OR 1·55, 95% CI 0·96-2·51; subgroup differences p=0·0013). For absolute prevalence, 25% of those with severe mental illness have physical multimorbidity (95% CI 0·19-0·32, k=29) and 14% have psychiatric multimorbidity (95% CI 0·08-0·23, k=21).

INTERPRETATION

This is the first meta-analysis to estimate physical alongside psychiatric multimorbidity prevalence, showing that these are common in people with schizophrenia-spectrum disorder and bipolar disorder. The greater burden of physical multimorbidity in people with severe mental illness compared with those without is higher for younger cohorts, reflecting a need for earlier intervention. Our findings speak to the utility of multimorbidity for characterising the disease burden associated with severe mental illness, and the importance of facilitating integrated physical and mental health care.

FUNDING

None.

Medical comorbidities in bipolar disorder (BIPCOM): clinical validation of risk factors and biomarkers to improve prevention and treatment. Study protocol

BACKGROUND

BIPCOM aims to (1) identify medical comorbidities in people with bipolar disorder (BD); (2) examine risk factors and clinical profiles of Medical Comorbidities (MC) in this clinical group, with a special focus on Metabolic Syndrome (MetS); (3) develop a Clinical Support Tool (CST) for the personalized management of BD and medical comorbidities.

METHODS

The BIPCOM project aims to investigate MC, specifically MetS, in individuals with BD using various approaches. Initially, prevalence rates, characteristics, genetic and non-genetic risk factors, and the natural progression of MetS among individuals with BD will be assessed by analysing Nordic registers, biobanks, and existing patient datasets from 11 European recruiting centres across 5 countries. Subsequently, a clinical study involving 400 participants from these sites will be conducted to examine the clinical profiles and incidence of specific MetS risk factors over 1 year. Baseline assessments, 1-year follow-ups, biomarker analyses, and physical activity measurements with wearable biosensors, and focus groups will be performed. Using this comprehensive data, a CST will be developed to enhance the prevention, early detection, and personalized treatment of MC in BD, by incorporating clinical, biological, sex and genetic information. This protocol will highlight the study's methodology.

DISCUSSION

BIPCOM's data collection will pave the way for tailored treatment and prevention approaches for individuals with BD. This approach has the potential to generate significant healthcare savings by preventing complications, hospitalizations, and emergency visits related to comorbidities and cardiovascular risks in BD. BIPCOM's data collection will enhance BD patient care through personalized strategies, resulting in improved quality of life and reduced costly interventions. The findings of the study will contribute to a better understanding of the relationship between medical comorbidities and BD, enabling accurate prediction and effective management of MetS and cardiovascular diseases.

TRIAL REGISTRATION

ISRCTN68010602 at https://www.isrctn.com/ISRCTN68010602 . Registration date: 18/04/2023.

The Risk and The Course of Cancer Among People with Severe Mental Illness

The paucity of data regarding patients with Serious Mental Illness (SMI) and cancer is alarming given the fact that people with SMI, especially schizophrenia, bipolar disorders and severe depressive disorders, have in general poorer access to physical health care and higher morbidity and mortality because of physical illnesses. The aims of this review were to examine the current evidence from existing literature on the risk of developing cancer and its course among people with SMI. Equivocal results emerge regarding the risk of developing some kind of cancer among people with SMI, with contrasting data on a possible higher, similar or lower risk in comparison with the general population. In contrast, a series of studies have pointed out that patients with SMI who develop cancer are less likely to receive standard levels of cancer care, both in terms of screening, diagnosis and treatment. Also, the mortality for cancer has been confirmed to be higher than the general population. A global sensitization about these problems is mandatory in an era in which community psychiatry has been developed in all countries and that policies of prevention, treatment, follow up, and palliative care should regard all the segments of the population, including people with SMI, through an interdisciplinary approach.

A Systematic Review on the Association between Schizophrenia and Bipolar Disorder with Chronic Obstructive Pulmonary Disease

A systematic review aimed to investigate the association between schizophrenia and bipolar disorder and chronic obstructive pulmonary disease (COPD), its prevalence and incidence, potential factors associated with its occurrence and its impact on mortality among these patients. We performed the literature search in PubMed, Scopus and PsycInfo from inception to February 2022 and identified 19 studies: ten cross-sectional, 5 that included cross-sectional and longitudinal analyses, and 4 retrospective cohort studies. The reported prevalence of COPD ranged from 2.6% to 52.7% in patients with schizophrenia and between 3.0% and 12.9% in patients with bipolar disorder. Two studies reported an annual incidence of COPD of 2.21 cases/100 person-years in patients with schizophrenia and 2.03 cases/100 person-years in patients with bipolar disorder. Among the risk factors evaluated in three studies, only advanced age was consistently associated with the presence/occurrence of COPD in patients with schizophrenia and bipolar disorder; the role of tobacco consumption was not investigated in those three studies. According to two studies, the likelihood of mortality from COPD showed an over 3-fold increase in patients with schizophrenia and a 2-fold increase in those with bipolar disorder compared to the overall population; COPD was also associated with increased inpatient mortality. Available data indicate that COPD in patients with schizophrenia and bipolar disorder is a major public health problem. National and international health organizations should strive to specifically address this issue by creating awareness about this health problem and developing specific programs for screening and early intervention aimed to reduce the burden of COPD in these populations.

Circulating endothelial progenitor cell dysfunction in patients with bipolar disorder

Dysfunction in circulating endothelial progenitor cells (cEPCs) plays a crucial role in cardiovascular disorders (CVDs). Patients with bipolar disorder (BPD) are at increased risk of developing CVDs. This study examined the associations of the functional properties of cEPCs with BPD and its clinical and cognitive characteristics. We recruited 69 patients with BPD and 41 healthy controls (HCs). The levels of manic, depressive, anxiety, psychosomatic symptoms, subjective cognitive dysfunction, quality of life, and functional disability of the BPD group were evaluated using the Young Mania Rating Scale (YMRS), Clinical Global Impression for BPD (CGI-BP), Hamilton Depression Rating Scale, Montgomery-Åsberg Depression Rating Scale, Hamilton Anxiety Rating Scale, Depression and Somatic Symptoms Scale, Perceived Deficits Questionnaire-Depression, 12-Item Short-Form Health Survey, and Sheehan Disability Scale, respectively. Cognitive function was assessed using 2-back and Go/No-Go tasks. Through in vitro assays, the adhesion to fibronectin and the percentage of apoptosis of cEPCs were examined. Under correction for multiple comparisons, the adhesive function of cEPCs in BPD was significantly lower than that in the HCs (corrected P [Pcorr] = 0.027). The reduced adhesive function of cEPCs correlated significantly with increased scores in the YMRS (Pcorr = 0.0002) and the CGI-BP (Pcorr = 0.0009). A lower percentage of apoptotic cEPC cells was associated with greater commission errors in the 2-back (Pcorr = 0.028) and Go/No-Go tasks (Pcorr = 0.029). The cEPCs of the BPD group exhibited attenuated adhesive function. The altered adhesive and apoptotic functions of cEPCs are associated with manic symptom severity and response inhibition deficits in patients with BPD.

Associations between overweight, obesity, and mental health: a retrospective study among European adults aged 50

Background

The comorbidities associated with overweight and obesity have been well researched and scientifically proven while their relationship to mental health is still not verified.

Methods

This study is aimed at investigating reciprocal associations between obesity and mental health, and is intended to further analyze possible long-term effects using data from the Survey of Health, Ageing and Retirement in Europe (SHARE). In order to do that, waves 4 and 8, conducted in 2010 and 2019/20 of this survey, were analyzed in a cross-lagged panel approach including 16,184 adult Europeans (50+) using multiple linear regression analysis focusing on the Body Mass Index (BMI), depression status and quality of life (QoL).

Results

Findings yield significant cross-lagged effects in one direction regarding BMI predicting QoL and depression state, whereas depression state and QoL do not significantly predict BMI. Findings include people living with obesity, overweight, and underweight showing significantly decreased levels of QoL as well as increased depression scores compared to people of normal weight over a lag time of 10 years, where people living with obesity indicate the strongest effect.

Conclusions

However, results do not confirm reciprocal associations in the long term. Hence, there is a strong need to carry out further research on this issue.

Antipsychotic drugs and risk of acute pancreatitis: A nationwide case-control study

INTRODUCTION

Use of antipsychotic drugs, especially second-generation agents, has been suggested to cause acute pancreatitis in multiple case reports; however, such an association has not been corroborated by larger studies. This study examined the association of antipsychotic drugs with risk of acute pancreatitis.

METHODS

Nationwide case-control study, based on data from several Swedish registers and including all 52,006 cases of acute pancreatitis diagnosed in Sweden between 2006 and 2019 (with up to 10 controls per case; n = 518,081). Conditional logistic regression models were used to calculate odds ratios (ORs) in current and past users of first-generation and second-generation antipsychotic drugs (dispensed prescription <91 and ≥91 days of the index date, respectively) compared with never users of such drugs.

RESULTS

In the crude model, first-generation and second-generation antipsychotic drugs were associated with increased risk of acute pancreatitis, with slightly higher ORs for past use (1.58 [95% confidence interval 1.48-1.69] and 1.39 [1.29-1.49], respectively) than for current use (1.34 [1.21-1.48] and 1.24 [1.15-1.34], respectively). The ORs were largely attenuated in the multivariable model-which included, among others, alcohol abuse and the Charlson comorbidity index-up to the point where only a statistically significant association remained for past use of first-generation agents (OR 1.18 [1.10-1.26]).

CONCLUSION

There was no clear association between use of antipsychotic drugs and risk of acute pancreatitis in this very large case-control study, indicating that previous case report data are most likely explained by confounding.

The bi-directional association between bipolar disorder and obesity: Evidence from Meta and bioinformatics analysis

BACKGROUND

The globally high prevalence of both obesity and bipolar disorder makes the bidirectional relationship between the two disorders a pivotal phenomenon; hence, a meta-analysis to synopsize their co-occurrence is indispensable. Psychotropic-induced obesity has been reported to be an important factor linking bipolar disorder and obesity. Nonetheless, the molecular signature of this connection is perplexing.

METHODS

Here, we leverage both meta-analysis and bioinformatics analysis to provide a conspectus and deduce the molecular signature of obesity in bipolar disease patients following psychotropic treatment. Searches were performed on a diverse collection of databases through June 25, 2020. The Newcastle-Ottawa Scale was used to rate the quality of the studies. Analysis of OR, 95% CI, and tests of homogeneity were carried out with STATA software. For the bioinformatics analysis, the LIMMA package which is incorporated into the Gene Expression Omnibus database was used.

RESULTS

Our search yielded 138 studies, of which 18 fitted our inclusion criteria. Individuals who are obese have an increased risk of developing bipolar disorder (pooled adjusted OR = 1.32, 95% CI = 1.01-1.62). In a manner analogous to this, the pooled adjusted odds ratio reveals that patients with bipolar disorder have an increased chance of obesity (OR = 1.68, 95% CI = 1.35-2). To deduce the molecular signature of obesity in bipolar disorder patients following psychotropic treatment, three data sets from the Gene Expression Omnibus database (GSE5392, GSE87610, and GSE35977) were integrated and the genes obtained were validated by a cohort of known single nucleotide polymorphism of obesity via direct overlap. Results indicate genes that are activated after psychotropic treatment. Some of these genes are CYBB, C3, OLR1, CX3CR1, C3AR1, CD53, AIF1, LY86, BDNF, ALOX5AP, CXCL10, and the preponderance falls under mesodermal and PI3K-Akt signaling pathway. The ROC analysis reveals a strong discriminating value between the two groups (UBAP2L AUC = 0.806, p = 1.1e-04, NOVA2 AUC = 0.73, p = 6.7e-03).

CONCLUSION

Our study shows unequivocal evidence of a bi-directional association between bipolar disorder and obesity, but more crucially, it provides a snapshot of the molecular signature of obesity in bipolar patients as a result of psychotropic medication.

Cardiometabolic and endocrine comorbidities in women with bipolar disorder: A systematic review

INTRODUCTION

Bipolar Disorder (BD) is known to be equally distributed among males and females. The well-documented increased risk of medical comorbidities in patients with BD, in comparison to BD patients without medical comorbidities, shows a negative impact on the course of illness. There is some evidence suggesting that women with BD have higher psychiatric and medical comorbidities in comparison to men with BD, however there is no evidence in comparison to women without BD or other major psychiatric illness. These comorbidities, along with various psychosocial factors, are known to affect the course of BD.

METHODS

We aimed to systematically review the literature on cardiovascular, metabolic and endocrine comorbidities in women with BD in comparison to men with BD and control women. A comprehensive search of electronic databases including PubMed, PsycINFO, Embase, and SCOPUS was conducted, and a total of 61 identified studies were included in this review.

RESULTS

Women with BD had higher rates of cardiovascular risk factors/mortality, diabetes mellitus II and thyroid disorders compared to women in the general population. In comparison to men with BD, women with BD had comparable cardiovascular risk but higher prevalence of metabolic and thyroid disorders.

LIMITATIONS

Gender specific data was limited in multiple studies.

CONCLUSIONS

Results present a need for gender-specific screening and interventions for various medical comorbidities in patients with BD.

Predictors of functional impairment in bipolar disorder: Results from 13 cohorts from seven countries by the global bipolar cohort collaborative

OBJECTIVES

Persistent functional impairment is common in bipolar disorder (BD) and is influenced by a number of demographic, clinical, and cognitive features. The goal of this project was to estimate and compare the influence of key factors on community function in multiple cohorts of well-characterized samples of individuals with BD.

METHODS

Thirteen cohorts from 7 countries included n = 5882 individuals with BD across multiple sites. The statistical approach consisted of a systematic uniform application of analyses across sites. Each site performed a logistic regression analysis with empirically derived "higher versus lower function" as the dependent variable and selected clinical and demographic variables as predictors.

RESULTS

We found high rates of functional impairment, ranging from 41 to 75%. Lower community functioning was associated with depressive symptoms in 10 of 12 of the cohorts that included this variable in the analysis. Lower levels of education, a greater number of prior mood episodes, the presence of a comorbid substance use disorder, and a greater total number of psychotropic medications were also associated with low functioning.

CONCLUSIONS

The bipolar clinical research community is poised to work together to characterize the multi-dimensional contributors to impairment and address the barriers that impede patients' complete recovery. We must also identify the core features which enable many to thrive and live successfully with BD. A large-scale, worldwide, prospective longitudinal study focused squarely on BD and its heterogeneous presentations will serve as a platform for discovery and promote major advances toward optimizing outcomes for every individual with this illness.

Levels of circulating endothelial progenitor cells inversely correlate with manic and positive symptom severity in patients with bipolar disorder

OBJECTIVES

Patients with bipolar disorder (BPD) are at high risk of cardiovascular diseases (CVDs) that are attributed to endothelial dysfunction. Circulating endothelial progenitor cells (cEPCs) are proposed as indicators of endothelial dysfunction. This study examined the relationship of cEPC numbers with BPD diagnosis and its clinical symptoms in patients with BPD.

METHODS

We recruited 48 patients with BPD and 50 healthy controls (HCs). All the patients had scores of <13 on the Young Mania Rating Scale (YMRS). In addition to the YMRS and Clinical Global Impression for BPD (CGI-BP), bipolar patients were assessed using relevant measurements for their depression, anxiety, general psychopathology, cognitive dysfunction and deficit, somatic symptoms, quality of life, and level of disability. cEPC counts were measured using flow cytometry.

RESULTS

The numbers of immature and mature cEPCs in the bipolar patients did not significantly differ from those in the HCs. After correction for multiple comparisons and controlling for body mass index and smokers, the number of immature cEPCs was observed to be inversely correlated with CGI-BP (corrected p [p_corr ] = .00018) and positive scores in the positive and negative syndrome scale (PANSS-P; p_corr  = .0049). The number of mature cEPCs was inversely correlated with YMRS (p_corr  = .014), CGI-BP (p_corr  = .00022), and PANSS-P (p_corr  = .0049) scores. In multivariate stepwise analysis, numbers of both types of cEPCs were associated with CGI-BP.

CONCLUSIONS

cEPC levels, an indicator of endothelial dysfunction and risk of CVDs, may be associated manic and positive symptom severities in patients with BPD.

Bipolar disorder and medical comorbidities: A Portuguese population-based observational retrospective study (2008-2015)

BACKGROUND

This study aimed to use the Charlson Comorbidity Index (CCI) to assess the prevalence of medical comorbidities among hospitalization episodes with a primary Bipolar Disorder (BD) diagnosis, and to analyze its association with hospitalization outcomes.

METHODS

A population-based observational retrospective study was conducted using a Portuguese administrative database containing all mainland public hospitalizations. From 2008-2015, hospitalization episodes with a primary diagnosis of BD were analysed. Outcomes included: length of stay (LoS), in-hospital mortality and discharge destination.

RESULTS

Overall, 20807 hospitalization episodes were analysed. Mean±standard deviation age at admission was 47.9±14.3 years, and these episodes mostly refer to women's admissions (66.6%). Median (1st quartile; 3rd quartile) LoS was 16.0 (9.0; 25.0) days. A total of 2145 (10.3%) episodes had ≥1 CCI comorbidities registered, being diabetes the most prevalent. LoS was significantly higher for episodes with secondary diagnoses of congestive heart failure, cerebrovascular disease, dementia, diabetes, renal disease and malignancy (all p<0.05). Episodes with a registry of myocardial infarction, peripheral vascular disease, malignancy and renal disease diagnoses had higher in-hospital mortality.

LIMITATIONS

Limitations include the use of data registered for administrative reasons rather than research purposes, and the analysis of hospitalization episodes, instead of patients.

CONCLUSIONS

In this Portuguese nationwide study, greater comorbidity had a measurable impact on BD hospitalization outcomes. During the study period the prevalence of CCI comorbidities rose from 8.1% to 17.4%, which may reflect the overall increasing quality of hospital-coded data in Portugal throughout the years. The detection and timely management of medical comorbid conditions will likely prevent the high BD medical burden.

Elevated C-reactive protein levels across diagnoses: The first comparison among inpatients with major depressive disorder, bipolar disorder, or obsessive-compulsive disorder

OBJECTIVE

We addressed elevated C-reactive protein level (eCRP) specificity comparing, for the first time, eCRP (i.e., serum CRP > 3 and ≤10 mg/L) in patients with major depressive disorder (MDD), bipolar disorder (BD), or obsessive-compulsive disorder (OCD). We also assessed to what extent multiple variables that can potentially increase inflammation may have influenced eCRP in our sample.

METHODS

We performed a retrospective, observational, cross-sectional study using information documented in the electronic medical records (EMRs) of patients hospitalized for a 4-week psychiatric rehabilitation program. We collected all information according to the standardized procedures of the hospital's clinical practice and applied a logistic regression model (α = 0.05).

RESULTS

We included 388 inpatients, that is, 156 (40.2%) with MDD, 135 (34.8%) with BD, and 97 (25.0%) with OCD, and found considerable eCRP rates among them (36.5%, 47.4%, and 29.9% in MDD, BD, and OCD, respectively) but without significant differences across groups. In the whole sample, eCRP variations were only partially attributable (approximately for one-third) to potential confounders. All groups presented considerable rates of cardiovascular risk factors, and we classified most patients as having medium or high CRP-based cardiovascular risk.

CONCLUSION

This first study comparing eCRP in MDD, BD, and OCD suggests that eCRP may be a transdiagnostic feature of different psychiatric disorders, and other mechanisms beyond the effects of multiple confounders may explain the presence of eCRP in a substantial portion of psychiatric patients. Therefore, we encourage the routine measurement of CRP in psychiatric clinical practice.

Clinical characteristics and impacts of HIV infection in people with bipolar disorders

BACKGROUND

People with bipolar disorders (BD) may be at increased risk of Human Immunodeficiency Virus (HIV) infection but our understanding of the impacts of HIV infection on psychiatric outcomes is poor. This study aimed to examine the prevalence, temporal relationship, and clinical impact of HIV infection in people with BD.

METHODS

In this retrospective case-control study, anonymised electronic case records of patients with BD who had been under the care of South London and Maudsley mental health services were used for data extraction. 54 HIV+ people with BD were identified and compared to a matched control group of 54 HIV- people with BD.

RESULTS

The prevalence of HIV co-morbidity in the BD population was around 1%. 76% of HIV+ BD men identified as men who have sex with men (MSM). 65% of the HIV+ BD group were diagnosed with BD before becoming HIV+. The HIV+ BD group experienced significantly higher rates of stimulant, GBL/GHB and psychedelic use compared to the HIV- BD group. 85% of the HIV+ BD group were recorded as taking antiretroviral medications.

LIMITATIONS

Retrospective and cross-sectional study design, and a relatively small sample size CONCLUSIONS: The prevalence of HIV comorbidity in BD was comparable to the local general population. HIV infection in BD is associated with MSM status and stimulant, GHB/GBL and psychedelics use suggesting that HIV prevention strategies should particularly target these groups. Lower use of antiretroviral medications by people with BD underlines the importance of engaging HIV+ BD people in HIV services.

Risk of hospitalised falls and hip fractures in working age adults receiving mental health care

OBJECTIVE

This retrospective cohort study investigates risks of hospitalised fall or hip fractures in working age adults receiving mental health care in South London.

METHODS

Patients aged 18 to 64, who received a first mental illness diagnosis between 2008 and 2016 were included. Primary outcome was hospitalised falls, secondary outcome was hip fractures. Age- and gender-standardised incidence rates and incidence rate ratios (IRRs) compared to local general population were calculated. Multivariate Cox proportionate hazard models were used to investigate which mental health diagnoses were most at risk.

RESULTS

In 50,885 patients incidence rates were 8.3 and 0.8 per 1,000 person-years for falls and hip fractures respectively. Comparing mental health patients to the general population, age-and-gender-adjusted IRR for falls was 3.6 (95% CI: 3.3-4.0) and for hip fractures 7.5 (95% CI: 5.2-10.4). The falls IRR was highest for borderline personality and bipolar disorder and lowest for schizophreniform and anxiety disorder. After adjusting for multiple confounders in the sample of mental health service users, borderline personality disorder yielded a higher and anxiety disorder a lower falls risk.

CONCLUSION

Working age adults using mental health services have almost four times the incidence of hospitalised falls compared to general population. Targeted interventions are warranted.

Effect of medication on risk of traumatic brain injury in patients with bipolar disorder: A nationwide population-based cohort study

BACKGROUND

Increased traumatic brain injury (TBI) risk was found in patients with bipolar disorder (BPD). Whether the medications for BPD and dosage moderate the risk of TBI is not clear.

AIM

This study aimed to determine whether an association exists between BPD and TBI and whether the prescription of psychotropics moderates TBI risk.

METHODS

A total of 5606 individuals who had received diagnoses of BPD between January 1, 1997 and December 31, 2013 and 56,060 matched controls without BPD were identified from Taiwan's National Health Insurance Research Database. Cases and controls were followed until the date of TBI diagnosis.

RESULTS

BPD was associated with a high risk of TBI (adjusted hazard ratio (aHR): 1.85; 95% CI: 1.62-2.11). Patients with BPD, with or without a history of psychiatric hospitalization, had increased risks of TBI (aHR: 1.94, 95% CI: 1.57-2.4 and aHR: 1.82, 95% CI: 1.55-2.1, respectively). The prescription of typical antipsychotics (0 < defined daily dose (DDD) < 28: hazard ratio (HR) = 1.52, 95% CI: 1.19-1.94; ⩾28 DDD: HR = 1.54, 95% CI: 1.15-2.06) and tricyclic antidepressants (TCAs) (0 < DDD < 28: HR = 1.73, 95% CI: 1.26-2.39; ⩾28 DDD: HR = 1.52, 95% CI: 1.02-2.25) was associated with higher TBI risk. Patients receiving higher doses of benzodiazepines (BZDs) (cumulative dose ⩾28 DDD) had a higher TBI risk (HR = 1.53, 95% CI: 1.13-2.06).

CONCLUSION

Patients with BPD have a higher risk of TBI. The use of typical antipsychotics, TCAs, or high-dose BZDs increases the risk of TBI in BPD.

Environmental Risk Factors for Schizophrenia and Bipolar Disorder and Their Relationship to Genetic Risk: Current Knowledge and Future Directions

Schizophrenia (SZ) and bipolar disorder (BD) are severe psychiatric disorders which result from complex interplay between genetic and environmental factors. It is well-established that they are highly heritable disorders, and considerable progress has been made identifying their shared and distinct genetic risk factors. However, the 15-40% of risk that is derived from environmental sources is less definitively known. Environmental factors that have been repeatedly investigated and often associated with SZ include: obstetric complications, infections, winter or spring birth, migration, urban living, childhood adversity, and cannabis use. There is evidence that childhood adversity and some types of infections are also associated with BD. Evidence for other risk factors in BD is weaker due to fewer studies and often smaller sample sizes. Relatively few environmental exposures have ever been examined for SZ or BD, and additional ones likely remain to be discovered. A complete picture of how genetic and environmental risk factors confer risk for these disorders requires an understanding of how they interact. Early gene-by-environment interaction studies for both SZ and BD often involved candidate genes and were underpowered. Larger samples with genome-wide data and polygenic risk scores now offer enhanced prospects to reveal genetic interactions with environmental exposures that contribute to risk for these disorders. Overall, although some environmental risk factors have been identified for SZ, few have been for BD, and the extent to which these account for the total risk from environmental sources remains unknown. For both disorders, interactions between genetic and environmental risk factors are also not well understood and merit further investigation. Questions remain regarding the mechanisms by which risk factors exert their effects, and the ways in which environmental factors differ by sex. Concurrent investigations of environmental and genetic risk factors in SZ and BD are needed as we work toward a more comprehensive understanding of the ways in which these disorders arise.

Association Between Bipolar Disorder or Schizophrenia and Oral Anticoagulation Use in Danish Adults With Incident or Prevalent Atrial Fibrillation

IMPORTANCE

Individuals with bipolar disorder or schizophrenia have a higher risk of adverse outcomes from cardiovascular diseases. Oral anticoagulation therapy (OAT) for patients with atrial fibrillation (AF) is needed for stroke prevention, but whether patients with bipolar disorder or schizophrenia face disparities in receiving this therapy is unknown.

OBJECTIVE

To assess whether bipolar disorder or schizophrenia is associated with a lower rate of OAT initiation in patients with incident AF and lower prevalence of OAT in those with prevalent AF.

DESIGN, SETTING, AND PARTICIPANTS

A nationwide cohort study of Danish patients with AF was conducted from January 1, 2005, to December 31, 2016, and data were analyzed from January 1 to June 15, 2020. Data from national registries included information on all redeemed prescriptions and all hospital contacts of all patients with incident or prevalent AF (age, 18-100 years) and increased risk status, defined by a CHA2DS2-VASc (congestive heart failure, hypertension, age ≥75 years, diabetes, stroke or transient ischemic attack, vascular disease, age 65-74 years, sex category) risk score greater than or equal to 2.

EXPOSURES

Hospital diagnosis of bipolar disorder or schizophrenia.

MAIN OUTCOMES AND MEASURES

Adjusted proportion differences for OAT initiation and OAT prevalence, comparing individuals with and without bipolar disorder or schizophrenia.

RESULTS

Patients included with incident AF (n = 147 810) had a mean (SD) age of 76.9 (10.1) years, 78 577 (53.2%) were women, 1208 (0.8%) had bipolar disorder, and 572 (0.4%) had schizophrenia. Accounting for age, sex, and calendar time, bipolar disorder and schizophrenia were associated with significantly lower frequency of OAT initiation within 90 days after incident AF (bipolar disorder: -12.7%; 95% CI, -15.3% to -10.0%; schizophrenia: -24.5%; 95% CI, -28.3% to -20.7%) and lower OAT prevalence in patients with prevalent AF (bipolar disorder: -11.6%; 95% CI, -13.9% to -9.3% schizophrenia: -21.6%; 95% CI, -24.8% to -18.4%). Adjusting for socioeconomic factors and other comorbid conditions attenuated these associations, particularly for patients with bipolar disorder. However, schizophrenia continued to be associated with a with a lower rate of OAT initiation (-15.5%, 95% CI, -19.3% to -11.7%) and a -12.8% (95% CI, -15.9% to -9.7%) lower OAT prevalence. These associations were also present after the introduction of non-vitamin K antagonists (adjusted proportion difference in 2013-2016: -12.4%; 95% CI, -18.7% to -6.1% for initiation and -10.1%; 95% CI, -13.8% to -6.4% for prevalence).

CONCLUSIONS AND RELEVANCE

In this study, patients with bipolar disorder or schizophrenia were less likely to receive OAT in the setting of AF. For patients with bipolar disorder, this deficit was largely associated with socioeconomic factors and comorbidities, especially toward the end of the study period. For patients with schizophrenia, disparities in this stroke prevention therapy persistently exceeded what could be explained by other patient characteristics.

Risk of cancer in bipolar disorder and the potential role of lithium: International collaborative systematic review and meta-analyses

We examined bipolar disorder (BD) as a risk factor for developing cancer and the role of lithium on cancer incidence. We conducted two systematic review and meta-analyses of population-based studies providing data on these associations. We screened articles indexed in MEDLINE, Scopus, Embase, and PsycINFO up to August 2020. The first random-effects meta-analysis, based on 4,910,661 individuals from nine studies estimated an increased risk of cancer of any kind [RR = 1.24 (1.05-1.46); p < 0.01], especially breast cancer [RR = 1.33 (1.15-1.55); p < 0.01] in BD. The second random-effects meta-analysis, based on 2,606,187 individuals from five studies did not show increased risk of cancer in people with BD using lithium, and even suggested a small protective effect both in overall [RR = 0.94 (0.72-1.22); p = 0.66] and urinary cancer [RR = 0.93 (0.75-1.14); p = 0.48] although these findings did not reach statistical significance. The current evidence highlights that cancer risk is increased in individuals with BD, particularly breast cancer in women. Lithium may have a potential protective effect on cancer, including urinary cancer. The role of lithium as a mainstay of treatment for BD is reinforced by this study.

Pilot Randomized Controlled Trial of Web-Delivered Acceptance and Commitment Therapy Versus Smokefree.gov for Smokers With Bipolar Disorder

INTRODUCTION

Smokers with bipolar disorder (BD) are less successful at quitting than the general population. In this study, we evaluated in a pilot randomized controlled trial a novel, targeted, web-based intervention for smokers with BD based on acceptance and commitment therapy (ACT) and designed for reach and disseminability.

AIMS AND METHODS

Daily smokers (n = 51) with bipolar I or II disorder were recruited from four US sites and randomly assigned to one of two web-based smoking cessation interventions-ACT-based WebQuit Plus (n = 25) or Smokefree.gov (n = 26) over a 10-week treatment period. All participants received nicotine patch for 8 weeks. Key outcomes were trial design feasibility, intervention acceptability, and cessation at end of treatment and 1-month follow-up.

RESULTS

We screened 119 to enroll 51 participants (target sample size = 60) over 24 months. The most common reason for ineligibility was the inability to attend study appointments. Retention was 73% at end of treatment and 80% at follow-up, with no differences by arm. The mean number of logins was twice as high for WebQuit Plus (10.3 vs. 5.3). The usefulness of program skills was rated higher for WebQuit Plus (75% vs. 29%). Biochemically confirmed, 7-day abstinence at end of treatment was 12% in WebQuit Plus versus 8% in Smokefree.gov (odds ratio = 1.46, 95% confidence interval = 0.21 to 9.97). At follow-up, abstinence rates were 8% in both arms.

CONCLUSIONS

Trial design produced favorable retention rates, although alternative recruitment methods will be needed for a larger trial. At end of treatment, acceptability and estimated effect size of WebQuit Plus relative to Smokefree.gov were promising and support continued program refinement and evaluation.

IMPLICATIONS

In this first randomized controlled trial of a targeted intervention for smokers with BD, we found that the ACT-based WebQuit Plus intervention, delivered in combination with the nicotine patch, had promising acceptability and cessation outcomes relative to Smokefree.gov. The observed signals for acceptability and cessation suggest that the WebQuit Plus program should be refined based on participant feedback and evaluated in a larger trial. Feasibility findings from this study also provide direction for refining trial procedures to enhance the recruitment of smokers with BD.

Determining Predictors of Weight Loss in a Behavioral Intervention: A Case Study in the Use of Lasso Regression

OBJECTIVE

This study investigates predictors of weight loss among individuals with serious mental illness participating in an 18-month behavioral weight loss intervention, using Lasso regression to select the most powerful predictors.

METHODS

Data were analyzed from the intervention group of the ACHIEVE trial, an 18-month behavioral weight loss intervention in adults with serious mental illness. Lasso regression was employed to identify predictors of at least five-pound weight loss across the intervention time span. Once predictors were identified, classification trees were created to show examples of how to classify participants into having likely outcomes based on characteristics at baseline and during the intervention.

RESULTS

The analyzed sample contained 137 participants. Seventy-one (51.8%) individuals had a net weight loss of at least five pounds from baseline to 18 months. The Lasso regression selected weight loss from baseline to 6 months as a primary predictor of at least five pound 18-month weight loss, with a standardized coefficient of 0.51 (95% CI: -0.37, 1.40). Three other variables were also selected in the regression but added minimal predictive ability.

CONCLUSIONS

The analyses in this paper demonstrate the importance of tracking weight loss incrementally during an intervention as an indicator for overall weight loss, as well as the challenges in predicting long-term weight loss with other variables commonly available in clinical trials. The methods used in this paper also exemplify how to effectively analyze a clinical trial dataset containing many variables and identify factors related to desired outcomes.

[Diagnostics and early recognition of bipolar disorders]

BACKGROUND

Bipolar disorder (BD) is a relevant psychiatric disorder, which requires early identification and treatment.

OBJECTIVE

What are the guideline-concordant diagnostic and early recognition procedures regarding BD?

RESULTS

The current German S3 guidelines on BD are based on the ICD-10. The multiaxial and dimensional description should include disorder-relevant somatic, psychological and social factors as well as the level of functional impairment. A BD can be diagnosed when at least two affective episodes have occurred, of which at least one must have been hypomanic, manic or mixed. In people considered at increased risk for BD, (subsyndromal) symptoms should be identified via the patient history and screening tools, e.g. the hypomania checklist 32 (HCL-32) and the mood disorder questionnaire (MDQ). The differential diagnosis of BD should exclude unipolar depression, dysthymia, cyclothymia, schizophrenia, schizoaffective disorders and substance-induced or organically related BD. The risk of comorbid psychiatric disorders is increased 8-13-fold in BD. The most common somatic disorders include obesity, cardiovascular diseases, metabolic syndrome, diabetes, musculoskeletal disorders and migraine. Observation of the course by the clinician and the patient (e.g. mood charting) as well as examinations before and during pharmacological treatment should be part of the treatment plan. Early recognition of BD during a so-called prodromal stage is currently not reliably possible. In the case of a clinical suspicion, e.g. due to subsyndromal (hypo)manic symptoms, comorbid conditions should be addressed and symptom-based psychotherapeutic interventions should be considered.

CONCLUSION

Early recognition and accurate diagnosis of BD, which enables adequate and timely treatment, can improve outcomes.

Impact of a prudent lifestyle on the clinical outcomes of older men with bipolar disorder

Objectives: To determine if the excess mortality associated with Bipolar disorder (BD) is independent of lifestyle.Methods: Prospective study of a community-representative sample of 12,203 men aged 65-85 years followed for 17.7 years. We used the 8-item 'prudence score' to assesses lifestyle behaviours, including the use of alcohol and smoking, physical activity, body mass and key aspects of diet. Scores of 5 or more indicate a prudent lifestyle.Results: 69 (0.6%) men had BD - a larger proportion of them than the remainder of the sample had diabetes, ischaemic heart disease, stroke, chronic respiratory diseases and dementia. The odds of a prudent lifestyle were 40% lower among participants with BD. BD was associated with increased risk of future contact with health services due to ischaemic heart disease and cancer, and respiratory, digestive and renal diseases, although such risk became comparable to that of men without BD for men with BD and a prudent lifestyle. The adjusted mortality hazard associated with the diagnosis of BD was 1.66 (95%CI = 1.20, 2.28), while the mortality hazard associated with a prudent lifestyle was 0.81 (95%CI = 0.78, 0.85). The mortality hazard for men with BD who were also prudent was 0.83 (95%CI = 0.52, 1.30). All analyses were adjusted for sociodemographic measures and prevalent morbidities.Conclusion: The excess morbidity and mortality of older men with BD seems to be mediated by non-prudent lifestyle practices. If future studies can demonstrate that this association is causal, then lifestyle interventions will need to become an integral part of the management of older adults with BD.

Risk of acute pancreatitis among people with severe mental illness

INTRODUCTION

Severe Mental Illness (SMI) encompasses schizophrenia, schizoaffective disorder, and bipolar affective disorder. SMI is associated with increased physical morbidity and mortality. Acute pancreatitis is the leading cause of gastroenterological hospitalisation. This study investigates the relationship between SMI and acute pancreatitis and determines the risk factors for development of pancreatitis.

MATERIAL AND METHODS

The first study phase was a retrospective cohort analysis. Acute admissions for pancreatitis were determined for people with an SMI diagnosis between January 2007 and March 2016 from a secondary care mental health register. Standardised admission ratio (SAR) for acute pancreatitis was determined for SMI patients. The second phase was a case-control study to compare exposures between SMI subjects admitted for acute pancreatitis ("cases") and the age-, gender-, and diagnosis-matched SMI subjects without admission for acute pancreatitis ("controls"), with a ratio of 1:4. Univariate and multivariate conditional logistic regression estimated the effect of exposures including diagnosis of alcohol use disorder (AUD).

RESULTS

A total of 22,337 SMI subjects were identified during the observation period. The SAR for acute pancreatitis was significant (2•33 (95% Ci: 1•97, 2•74; n = 148)). In the nested case-control study, SMI patients with co-morbid AUD elevated the risk of acute pancreatitis dramatically with an adjusted odds ratio 16•10 (5•92, 43•79).

LIMITATIONS

Diagnosis of co-morbid AUD may be under represented in population CONCLUSIONS: SMI is associated with a significantly elevated risk of acute pancreatitis. Co-morbid AUD is a risk factor in development of pancreatitis in this group.

Prevalence of Prediabetes and Diabetes Mellitus Type II in Bipolar Disorder

INTRODUCTION

Bipolar disorder (BD) is characterized by recurrent episodes of depression and mania and affects up to 2% of the population worldwide. Patients suffering from bipolar disorder have a reduced life expectancy of up to 10 years. The increased mortality might be due to a higher rate of somatic diseases, especially cardiovascular diseases. There is however also evidence for an increased rate of diabetes mellitus in BD, but the reported prevalence rates vary by large.

MATERIAL AND METHODS

85 bipolar disorder patients were recruited in the framework of the BiDi study (Prevalence and clinical features of patients with Bipolar Disorder at High Risk for Type 2 Diabetes (T2D), at prediabetic state and with manifest T2D) in Dresden and Würzburg. T2D and prediabetes were diagnosed measuring HBA1c and an oral glucose tolerance test (oGTT), which at present is the gold standard in diagnosing T2D. The BD sample was compared to an age-, sex- and BMI-matched control population (n = 850) from the Study of Health in Pomerania cohort (SHIP Trend Cohort).

RESULTS

Patients suffering from BD had a T2D prevalence of 7%, which was not significantly different from the control group (6%). Fasting glucose and impaired glucose tolerance were, contrary to our hypothesis, more often pathological in controls than in BD patients. Nondiabetic and diabetic bipolar patients significantly differed in age, BMI, number of depressive episodes, and disease duration.

DISCUSSION

When controlled for BMI, in our study there was no significantly increased rate of T2D in BD. We thus suggest that overweight and obesity might be mediating the association between BD and diabetes. Underlying causes could be shared risk genes, medication effects, and lifestyle factors associated with depressive episodes. As the latter two can be modified, attention should be paid to weight changes in BD by monitoring and taking adequate measures to prevent the alarming loss of life years in BD patients.

Hepatic gene expression explains primary drug toxicity in bipolar disorder

In bipolar disorder (BPD), long-term psychotropic drug treatment is often necessary to prevent relapse or recurrence. Nevertheless, adverse drug effects including disturbances in hepatic metabolism are observed and still poorly understood. Here, the association between hepatic gene expression and histopathological changes of the liver was investigated. By the use of microarrays (Affymetrix U133 plus2.0), a genome-wide expression study was performed on BPD patients with psychotropic drug treatment (n = 29) compared to unaffected controls (n = 20) and validated by quantitative real-time PCR. WebGestalt was used to identify over-represented functional pathways of the Reactome database. Association analyses between histopathological changes and differentially expressed genes comprised in the over-represented functional pathways were performed using regression analyses, from which feature-expression heatmaps were drawn. The majority of identified genes were underexpressed and involved in energy supply, metabolism of lipids and proteins, and the innate immune system. Positive associations were found for genes involved in all pathways and degenerative changes. The strongest negative association was observed between genes involved in energy supply and hepatic activity, as well as inflammation. In summary, we found a possible association between gene expression involved in various biological pathways and histopathological changes of the liver in BPD. Further, we found support for the probable primary toxic effect of psychotropic drugs on hepatic injury in BPD. Even if the safety of psychotropic drugs improves, adverse effects especially on hepatic function should not be underestimated.

Medical and Psychiatric Comorbidities in Bipolar Disorder: Insights from National Inpatient Population-based Study

Objectives

The objective of this study was to analyze the differences in the prevalence and association of medical and psychiatric comorbidities in bipolar disorder (BD) patients versus the general inpatient population.

Methods

A cross-sectional analysis was conducted using the national inpatient sample (NIS). Using the international classification of diseases, ninth revision (ICD-9) diagnostic codes, we extracted the BD inpatients and then obtained information about comorbidities. The odds ratio (OR) of comorbidities in BD inpatients were evaluated using a logistic regression model.

Results

Hypertension (31.1%), asthma (11.7%) and diabetes, obesity, and hypothyroidism (11% each) were the prevalent medical comorbidities found in BD inpatients. Hypothyroidism, asthma, and migraine were seen in BD inpatients (OR 1.59, OR 1.37 and OR 1.23; respectively) compared to general inpatients. Drug abuse (33.5%), anxiety disorders (31.8%), and alcohol abuse (18.3%) were the most prevalent psychiatric comorbidities in BD inpatients. They had a seven-fold higher likelihood of comorbid borderline personality disorders compared to general inpatients. Among other psychiatric comorbidities, the odds of the association were higher for drug abuse (OR 4.33), ADHD (OR 3.06), and PTSD (2.44).

Conclusion

A higher burden of medical and psychiatric comorbidities is seen in BD inpatients compare to the general inpatient population. A collaborative care model is required for early diagnosis and management of these comorbidities to improve the health-related quality of life.

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.

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.

Lithium Salts of Krebs Cycle Substrates as Potential Normothymic Antioxidant Agents

Objective:

Aim of the present work was to study the antioxidant properties of lithium salts of Krebs cycle substrates and their influence on immune cells. Lithium is a well-known and widely used mood stabilizer. These lithium-based substances have a lot of potential properties because of the anionic component of the Krebs cycle substrates, which take part in basic intracellular biochemical process.

Materials and Methods:

Lithium salts of fumarate, pyruvate, malate, succinate, and citrate (as reference drug) were investigated in this study as antioxidants and immunomodulators. The antioxidant properties were studied by the voltammetry method, which evaluates oxygen radical scavenging capacity of lithium substances. Influence of the lithium compounds on the immune cells of human blood was indicated by the reaction of blast transformation of lymphocytes.

Results:

All tested substances and their mixes possessed antioxidant properties, more expressed in maximal therapeutic concentration. Lithium compounds showed no toxic influence on human blood immune cells and caused no significant changes in both spontaneous and stimulated proliferation.

Conclusion:

The results allow considering lithium salts of Krebs cycle substrates as potential normothymic agents (mood stabilizer) with antioxidant properties and low toxicity.

Older men with bipolar disorder diagnosed in early and later life: Physical health morbidity and general hospital service use

BACKGROUND

Bipolar disorder (BD) has been associated with greater health morbidity burden, but it is unclear if this association is affected by age at the time of diagnosis and how this might impact on the use of general hospital services.

METHODS

Cross-sectional study investigating the prevalence of common medical morbidities among participants with early (EOBD) and late onset diagnosis of BD (LOBD - age at diagnosis ≥ 60 years) derived from a community-representative sample of 37,183 men aged 65-85 years. Cohort study over a follow up period of up to 17.7 years investigating the hazard of general hospital use among older men associated with EOBD and LOBD taking into account age and prevalent medical morbidities.

RESULTS

250 older men had a recorded diagnosis of BD, 75 of whom had LOBD. Diabetes, stroke and diseases of the respiratory and digestive systems were more frequent in men with than without BD. There were no differences in the distribution of medical morbidities between men with EOBD and LOBD. The adjusted hazard ratio (HR) of contact with general hospital services was significantly higher among men with EOBD (HR = 1.33; 95%CI = 1.14, 1.54) and LOBD (HR = 1.27, 95%CI = 1.06, 1.51) compared with older men without BD. Older men with EOBD had the highest number of contacts with general hospital services during follow up, although men with EOBD and LOBD did not differ in the number of contacts due to episodes of mania or depression. The medical reasons for contact with general hospital services of men with EOBD and LOBD overlapped but were not identical.

CONCLUSIONS

Older men with BD experience greater health morbidity than men without BD. Older men with BD access hospital services for the management of physical morbidities earlier and more frequently than men without BD. Age at the time of diagnosis of BD has limited impact on the risk of contact with general medical services, although subtle differences in the physical morbidity of men with EOBD and LOBD warrant further investigation.

Smokers with bipolar disorder, other affective disorders, and no mental health conditions: Comparison of baseline characteristics and success at quitting in a large 12-month behavioral intervention randomized trial

BACKGROUND

The extent to which smokers with bipolar disorder (BD) differ from other smokers on cessation-related characteristics and outcomes is unknown and could improve knowledge of treatment needs for this group. These analyses compared smokers with BD versus smokers with other affective disorders (ADs; anxiety and unipolar depression) and smokers with no mental health conditions (MHCs).

METHOD

Participants (n = 2570) were a subsample of those enrolled in a smoking cessation trial comparing two web-delivered intervention approaches: acceptance and commitment therapy (ACT) and cognitive behavioral therapy. Those included in this analysis self-reported having BD (n = 221), other ADs (n = 783) or no major MHCs (n = 1566). Surveys assessed baseline characteristics and self-reported abstinence at 3, 6, and 12-months post-randomization. Treatment utilization was tracked via page views.

RESULTS

Smokers with BD were distinct from both AD and no MHC smokers on the majority of baseline characteristics. At 12-months, quit rates were lower for smokers with BD (20%) than no MHCs (29%; p = 0.01), but no different than other ADs (20%; p =  .467). Interactions between treatment assignment and diagnostic group were non-significant for cessation outcome. The number of logins was higher for smokers with BD than AD in the ACT arm only (p = .001), but this finding was not replicated across other utilization indicators.

CONCLUSIONS

Smokers with BD and other ADs had similar long-term quit rates despite numerous differences in baseline characteristics. Despite being lower than for smokers without MHCs, long-term quit rates from web-based treatment are promising for smokers with BD as well as other ADs.

Excess incidence and risk factors for recurrent pneumonia in bipolar disorder

AIM

Patients with bipolar disorder (BD) tend to have poorer outcomes after pneumonia and could have a higher risk for recurrence of pneumonia. We aimed to investigate the incidence and risk factors of recurrent pneumonia in patients with BD.

METHODS

In a nationwide cohort of BD patients (derived from the National Health Insurance Research Database in Taiwan) who were hospitalized for pneumonia between 1996 and 2012, we identified 188 patients who developed recurrent pneumonia after a baseline pneumonia episode. Applying risk-set sampling at a 1:2 ratio, 353 matched controls were selected from the study cohort. We used multivariate conditional logistic regression analysis to explore the association between recurrent pneumonia and physical illness, concomitant medications, and psychotropic drugs.

RESULTS

The findings showed that the incidence of recurrent pneumonia in BD was 6.60 cases per 100 person-years, which was higher than that in the general population. About 10% (9.24%) of cases with recurrent pneumonia died within 30 days of hospitalization. Patients had increased risk of recurrent pneumonia if they had hypertension, diabetes mellitus, cancer, or asthma. Conversely, psychotropic drugs, both first- and second-generation antipsychotics, which are known to increase susceptibility to baseline pneumonia, were not associated with risk of pneumonia recurrence.

CONCLUSION

We found an excess incidence of recurring pneumonia in patients with BD, and this risk was associated with pre-existing medical conditions but not psychotropic agents. Physicians should carefully consider the comorbid medical conditions of patients with BD that could lead to recurrent pneumonia.

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.

The economic burden of bipolar I disorder in the United States in 2015

BACKGROUND

The current societal costs of bipolar I disorder (BDI) have not been comprehensively characterized in the United States, as previous studies are based on data from two decades ago.

METHODS

The costs of BDI were estimated for 2015 and comprised direct healthcare costs, non-healthcare costs, and indirect costs, calculated based on a BDI prevalence of 1%. The excess costs of BDI were estimated as the difference between the costs incurred by individuals with BDI and those incurred by individuals without BD or individuals from the general population. Direct healthcare costs were assessed using three large US claims databases for insured individuals and the literature for uninsured individuals. Direct non-healthcare and indirect costs were based on the literature and governmental publications.

RESULTS

The total costs of BDI were estimated at $202.1 billion in 2015, corresponding to an average of $81,559 per individual, while the excess costs of BDI were estimated at $119.8 billion, corresponding to an average of $48,333 per individual. The largest contributors to excess costs were caregiving (36%), direct healthcare costs (21%), and unemployment (20%). In sensitivity analyses, excess costs ranged from $101.2 to $124.3 billion.

LIMITATIONS

Direct healthcare costs were calculated based on a BDI diagnosis, thus excluding undiagnosed patients. Direct non-healthcare and indirect costs were based on combined estimates from the literature.

CONCLUSIONS

Besides direct healthcare costs, BDI was associated with substantial direct non-healthcare and indirect costs. More effective treatments and practices are needed to optimize therapeutic strategies and contain direct and indirect costs.

Impact of obesity and mood disorders on physical comorbidities, psychological well-being, health behaviours and use of health services

BACKGROUND

Albeit obesity and mood disorders frequently co-occur, few studies examined the impacts of this co-occurrence. The aim was to compare individuals with obesity and mood disorders (ObMD) to those with obesity without mood disorder in terms of physical comorbidities, psychological well-being, health behaviours and use of health services.

METHODS

Cross-sectional study using the Canadian Community Health Survey including a weighted sample of individuals with obesity (n = 1298) representing inhabitants from the province of Quebec (Canada).

RESULTS

Adjusted multivariate logistic regressions indicated that ObMD reported more physical conditions with odds ratio (OR) ranging from 1.8 [95%CI: 1.1 - 2.8] (hypertension) to 2.8 [95%CI: 1.3 - 6.0] (stomach ulcer). Also, ObMD reported poorer psychological well-being with OR ranging from 2.1 [95%CI: 1.4 - 3.3] (stress) to 25.6 [95%CI: 14.7 - 45.0] (poor perceived mental health). ObMD also reported more consultations with health professionals with OR ranging from 1.9 [95%CI: 1.0 - 3.5] (physicians) to 7.7 [95%CI: 4.2 - 14.3] (psychologists), and less healthy behaviours with OR ranging from 1.7 [95%CI: 1.1 - 2.6] (fruits and vegetables intake) to 2.1 [95%CI: 1.3 - 3.3] (tobacco).

LIMITATIONS

Self-reported data so we cannot discard the possibility of a bias in reporting. Also, given the cross-sectional design, no directional conclusion or causality about our results is possible.

DISCUSSION

The co-occurrence of mood disorder and obesity seems to be an aggravating factor of obesity-related factors because it is associated with poorer health in several areas. Interventions to prevent or manage obesity in mood disorders are necessary.

Increased risk of chronic obstructive pulmonary disease in patients with bipolar disorder: A population-based study

BACKGROUND

We conducted this nationwide study to examine the prevalence and incidence of chronic obstructive pulmonary disease (COPD) among patients with bipolar disorder in Taiwan.

METHODS

We used a random sample of 766,427 subjects who were aged ≥18 years in 2005. Patients with at least one primary diagnosis of bipolar disorder were identified. Study participants with one primary or secondary diagnosis of COPD for either ambulatory or inpatient care were also identified. We compared the prevalence of COPD in patients with bipolar disorder and the general population in 2005. In addition, we further investigated this cohort from 2006 to 2010 to detect incident cases of COPD in patients with bipolar disorder compared with the general population. The factors associated with COPD among patients with bipolar disorder were also analyzed.

RESULTS

The prevalence of COPD in patients with bipolar disorder was higher than in the general population in 2005 (5.68% vs. 2.88%, odds ratio 2.03; 95% confidence interval, 1.53-2.67). The average annual incidence of COPD in patients with bipolar disorder was also higher than in the general population (2.03% vs. 1.03%, risk ratio 1.94; 95% confidence interval, 1.65-2.29) from 2006 to 2010.

LIMITATIONS

Some risk factors for COPD such as substance use, obesity, or lifestyle pattern were not available in this study.

CONCLUSIONS

Patients with bipolar disorder had a higher prevalence and incidence of COPD compared with the general population. Higher prevalence of COPD among bipolar patients was associated with increased age, males, hypertension, and second-generation antidepressant use.

Diagnosis and body mass index effects on hippocampal volumes and neurochemistry in bipolar disorder

We previously reported that higher body mass index (BMI) was associated with greater hippocampal glutamate+glutamine in people with bipolar disorder (BD), but not in non-BD healthy comparator subjects (HSs). In the current report, we extend these findings by examining the impact of BD diagnosis and BMI on hippocampal volumes and the concentrations of several additional neurochemicals in 57 early-stage BD patients and 31 HSs. Using 3-T magnetic resonance imaging and magnetic resonance spectroscopy, we measured bilateral hippocampal volumes and the hippocampal concentrations of four neurochemicals relevant to BD: N-acetylaspartate+N-acteylaspartylglutamate (tNAA), creatine+phosphocreatine (Cre), myoinositol (Ins) and glycerophosphocholine+phosphatidylcholine (Cho). We used multivariate factorial analysis of covariance to investigate the impact of diagnosis (patient vs HS) and BMI category (normal weight vs overweight/obese) on these variables. We found a main effect of diagnosis on hippocampal volumes, with patients having smaller hippocampi than HSs. There was no association between BMI and hippocampal volumes. We found diagnosis and BMI effects on hippocampal neurochemistry, with patients having lower Cre, Ins and Cho, and overweight/obese subjects having higher levels of these chemicals. In patient-only models that controlled for clinical and treatment variables, we detected an additional association between higher BMI and lower tNAA that was absent in HSs. To our knowledge, this was the first study to investigate the relative contributions of BD diagnosis and BMI to hippocampal volumes, and only the second to investigate their contributions to hippocampal chemistry. It provides further evidence that diagnosis and elevated BMI both impact limbic brain areas relevant to BD.

Patatin-like phospholipase domain-containing protein 3 (PNPLA3): A potential role in the association between liver disease and bipolar disorder

OBJECTIVE

Due to the increased prevalence of liver disease in patients with bipolar disorder, we examined the potential role of the patatin-like phospholipase domain-containing protein 3 (PNPLA3) variant among individuals with bipolar disorder and those with no mood disorder.

METHODS

We used the National Health and Nutrition Examination Survey (NHANES) database (aged 15-39 years) to identify a group of individuals with a bipolar diagnosis and a control group of individuals with no mood disorder. A total of 1931 individuals were randomly selected, one from each family containing information on the PNPLA3 genotype to be used in the analysis.

RESULTS

Analyses revealed individuals with the recessive variant genotype (MM) had an adjusted odds ratio for bipolar disorder of about 4.6 compared to individuals with either IM or II genotypes of the PNPLA3 variant.

LIMITATIONS AND CONCLUSIONS

Limitations of this study include the use of a lay-administered survey in for diagnosis of bipolar disorder in NHANES. The association between the PNPLA3 variant and bipolar disorder may help guide further work on medication effectiveness, treatment options, prevention approaches, and understanding potential medication side effects among specific subgroups of individuals with the MM genotype.

Effectiveness of Alcohol, Smoking, and Substance Involvement Screening Test-Linked Brief Intervention on Harmful and Hazardous Alcohol Use in Nigerian Semirural Communities: A Non-Randomized Intervention Study

OBJECTIVE

To determine the prevalence of alcohol consumption and the effectiveness of the alcohol, smoking, and substance involvement screening test (ASSIST)-linked brief intervention on hazardous and harmful alcohol use in semirural settings in Nigeria.

METHODS

In this single arm non-randomized intervention study delivered by community health extension workers (CHEW), participants (N = 1,203), 15 years and older, recruited between October 2010 and April 2011 were assessed for prevalence of alcohol consumption and the associated level of risk. Scores of 0-10 were classified as lower risk scores, 11-26 as moderate risk, and 27+ as high risk. This was followed by a brief intervention. Prevalence of alcohol consumption and level of risk was assessed at 3 and 6 months postbrief intervention. Main outcome measure was the change in ASSIST scores at 3 and 6 months postintervention.

RESULTS

There was a statistically significant difference in the prevalence of alcohol use at baseline compared with that at 6 months, χ²(2) = 4.2, p = 0.01. Among all respondents, a repeated measures ANOVA with a Greenhouse-Geisser correction showed that mean ASSIST score significantly reduced between time points [F(1.541, 34.092) = 53.241, p < 0.001]. Post hoc tests using the Bonferroni correction revealed that this difference was due to a significant reduction in the mean ASSIST scores at 3 months vs. baseline, p = 0.001, but not at 3 vs. 6 months, p = 0.09.

CONCLUSION

There is a potential for CHEW-administered ASSIST-linked screening, brief intervention, and referral to treatment for unhealthy alcohol use in Nigerian semirural communities. This is feasible considering serious dearth of addiction specialists in the country.

Big data for bipolar disorder

The delivery of psychiatric care is changing with a new emphasis on integrated care, preventative measures, population health, and the biological basis of disease. Fundamental to this transformation are big data and advances in the ability to analyze these data. The impact of big data on the routine treatment of bipolar disorder today and in the near future is discussed, with examples that relate to health policy, the discovery of new associations, and the study of rare events. The primary sources of big data today are electronic medical records (EMR), claims, and registry data from providers and payers. In the near future, data created by patients from active monitoring, passive monitoring of Internet and smartphone activities, and from sensors may be integrated with the EMR. Diverse data sources from outside of medicine, such as government financial data, will be linked for research. Over the long term, genetic and imaging data will be integrated with the EMR, and there will be more emphasis on predictive models. Many technical challenges remain when analyzing big data that relates to size, heterogeneity, complexity, and unstructured text data in the EMR. Human judgement and subject matter expertise are critical parts of big data analysis, and the active participation of psychiatrists is needed throughout the analytical process.

Patients receiving lithium therapy have a reduced prevalence of neurological and cardiovascular disorders

A variety of evidence from laboratory and animal studies suggests that lithium has neurotrophic and cytoprotective properties, and may ameliorate or prevent some disease states. We investigated whether such a protective effect can be observed in human psychiatric patients receiving lithium therapy. We carried out a retrospective chart review of 1028 adult psychiatric male and female outpatients attending four lithium clinics in metropolitan New York City. Patients were divided into two groups based on lithium usage, and the prevalence of neurological and cardiovascular disorders was compared. The main outcome measures were the occurrence in the two patient groups of a variety of neurological disorders and myocardial infarction. Odds ratios were calculated to assess the risk of having a disorder for patients receiving lithium compared to patients not receiving lithium: for seizures, the odds ratio was 0.097; for amyotrophic lateral sclerosis, the odds ratio was 0.112; for dementia not otherwise specified, the odds ratio was 0.112; and for myocardial infarction, the odds ratio was 0.30. Logistical regression analysis showed that lithium treatment is a significant negative predictive factor in the prevalence of each of these disease states, when age, duration of clinic attendance, and use of anti-psychotic medications are taken into account. Our results show that patients receiving regular lithium treatment have a reduced prevalence of some neurological disorders and myocardial infarctions. One possible explanation of these results is that a protective effect of lithium observed in laboratory and animal studies may also be present in human patients receiving regular lithium therapy.

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.

Increased risk of chronic liver disease in patients with bipolar disorder: A population-based study

OBJECTIVE

This study aimed to investigate the prevalence and incidence of chronic liver disease in patients with bipolar disorder.

METHODS

We used a random sample of 766,427 subjects aged ≥18 years from the National Health Research Institute database in the year 2005. Subjects with at least one primary diagnosis of bipolar disorder in 2005 were identified. Patients with a primary or secondary diagnosis of chronic liver disease were also defined. We compared the prevalence and associated factors of chronic liver disease between patients with bipolar disorder and the general population in 2005. We also compared the incidence of chronic liver disease in patients with bipolar disorder and the general population from 2006 to 2010.

RESULTS

The prevalence of chronic liver disease in patients with bipolar disorder (13.9%) was 2.68 times higher than that of the general population (5.8%) in 2005. The average annual incidence of chronic liver disease in patients with bipolar disorder from 2006 to 2010 was also higher than that of the general population (2.95% vs. 1.73%; risk ratio: 1.71; 95% confidence interval: 1.46-2.01).

CONCLUSIONS

Patients with bipolar disorder had a significantly higher prevalence and incidence of chronic liver disease than those in the general population, and younger patients with bipolar disorder have a much higher prevalence and incidence than those in the general population. Male sex, second-generation antipsychotic or antidepressant use, and hyperlipidemia were associated factors for chronic liver disease in patients with bipolar disorder.

[Differences in Subjective Experience Between Unipolar and Bipolar Depression]

INTRODUCTION

It is important to make distinction between bipolar and unipolar depression because treatment and prognosis are different. Since the diagnosis of the two conditions is purely clinical, find symptomatic differences is useful.

OBJECTIVES

Find differences in subjective experience (first person) between unipolar and bipolar depression.

METHODS

Phenomenological-oriented qualitative exploratory study of 12 patients (7 with bipolar depression and 5 with unipolar depression, 3 men and 9 women). We used a semi-structured interview based on Examination of Anomalous Self-Experience (EASE).

RESULTS

The predominant mood in bipolar depression is emotional dampening, in unipolar is sadness. The bodily experience in bipolar is of a heavy, tired body; an element that inserts between the desires of acting and performing actions and becomes an obstacle to the movement. In unipolar is of a body that feels more comfortable with the stillness than activity, like laziness of everyday life. Cognition and the stream of consciousness: in bipolar depression, compared with unipolar, thinking is slower, as if to overcome obstacles in their course. There are more difficult to understand what is heard or read. Future perspective: in bipolar depression, hopelessness is stronger and broader than in unipolar, as if the very possibility of hope was lost.

CONCLUSIONS

Qualitative differences in predominant mood, bodily experience, cognition and future perspective were found between bipolar and unipolar depression.

Cancer screening, prevention, and treatment in people with mental illness

People with mental illness die decades earlier in the United States compared with the general population. Most of this disparity is related to preventable and treatable chronic conditions, with many studies finding cancer as the second leading cause of death. Individual lifestyle factors, such as smoking or limited adherence to treatment, are often cited as highly significant issues in shaping risk among persons with mental illness. However, many contextual or systems-level factors exacerbate these individual factors and may fundamentally drive health disparities among people with mental illness. The authors conducted an integrative review to summarize the empirical literature on cancer prevention, screening, and treatment for people with mental illness. Although multiple interventions are being developed and tested to address tobacco dependence and obesity in these populations, the evidence for effectiveness is quite limited, and essentially all prevention interventions focus at the individual level. This review identified only one published article describing evidence-based interventions to promote cancer screening and improve cancer treatment in people with mental illness. On the basis of a literature review and the experience and expertise of the authors, each section in this article concludes with suggestions at the individual, interpersonal, organizational, community, and policy levels that may improve cancer prevention, screening, and treatment in people with mental illness.