Weight gain in bipolar disorder: pharmacological treatment as a contributing factor

Predicting remission after acute phase pharmacotherapy in patients with bipolar I depression: A machine learning approach with cross-trial and cross-drug replication

OBJECTIVES

Interpatient variability in bipolar I depression (BP-D) symptoms challenges the ability to predict pharmacotherapeutic outcomes. A machine learning workflow was developed to predict remission after 8 weeks of pharmacotherapy (total score of ≤8 on the Montgomery Åsberg Depression Rating Scale [MADRS]).

METHODS

Supervised machine learning models were trained on data from BP-D patients treated with olanzapine (N = 168) and were externally validated on patients treated with olanzapine/fluoxetine combination (OFC; N = 131) and lamotrigine (LTG; N = 126). Top predictors were used to develop a prognosis rule informing how many symptoms should change and by how much within 4 weeks to increase the odds of achieving remission.

RESULTS

An AUC of 0.76 (NIR:0.59; p = 0.17) was established to predict remission in olanzapine-treated subjects. These trained models achieved AUCs of 0.70 with OFC (NIR:0.52; p < 0.03) and 0.73 with LTG (NIR:0.52; p < 0.003), demonstrating external replication of prediction performance. Week-4 changes in four MADRS symptoms (reported sadness, reduced sleep, reduced appetite, and concentration difficulties) were top predictors of remission. Across all pharmacotherapies, three or more of these symptoms needed to improve by ≥2 points at Week-4 to have a 65% chance of achieving remission at 8 weeks (OR: 3.74, 95% CI: 2.45-5.76; p < 9.3E-11).

CONCLUSION

Machine learning strategies achieved cross-trial and cross-drug replication in predicting remission after 8 weeks of pharmacotherapy for BP-D. Interpretable prognoses rules required only a limited number of depressive symptoms, providing a promising foundation for developing simple quantitative decision aids that may, in the future, serve as companions to clinical judgment at the point of care.

Orlistat for the treatment of antipsychotic-induced weight gain: an eight-week multicenter, randomized, placebo-controlled, double-blind trial

BACKGROUND

Weight gain and metabolic disorders are commonly induced by antipsychotics. Orlistat is a lipase inhibitor used for weight control. The effect of orlistat on weight gain and metabolic disturbances in people (especially women) treated with antipsychotics has not been sufficiently studied. This study aimed to investigate the efficacy of orlistat in mitigating antipsychotic-induced weight gain and abnormal glycolipid metabolism.

METHODS

Patients with schizophrenia or bipolar disorder with a weight gain ≥ 7% after taking antipsychotics were recruited. Participants were randomly allocated to two groups: one received eight weeks of orlistat (360 mg/day) and the other received a placebo. Anthropometric and fasting serum biochemical parameters were measured at baseline, week 4 and week 8.

RESULTS

Sixty individuals (orlistat:placebo = 32:28) participated in the study. After controlling for the study center, the eight-week changes in body mass index (BMI), cholesterol (CHOL), high-density lipoprotein cholesterol (HDL-CH) and low-density lipoprotein cholesterol (LDL-CH) were significantly different between the groups. According to the mixed linear models, CHOL and LDL-CH were significantly lower in the orlistat group than in the control group at week 8. The week 0-to-8 slopes of BMI, CHOL and LDL-CH were also significantly lower in the orlistat group.

CONCLUSIONS

These findings suggested that orlistat is an effective intervention for attenuating weight gain and serum lipid disturbances in antipsychotic-treated patients.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03451734.

Liraglutide in Obese or Overweight Individuals With Stable Bipolar Disorder

BACKGROUND

Obesity is common among persons with bipolar disorder (BD). Liraglutide 3.0 mg/d subcutaneous injection is indicated for chronic weight management and associated with minimal adverse neuropsychiatric effects. This study evaluated whether liraglutide 3 mg/d reduced body weight, improved metabolic factors and eating psychopathology, and was safe and well tolerated in persons with stable BD who were obese (body mass index [BMI] >30 kg/m 2 ) or overweight (BMI ≥27 kg/m 2 ) with at least one weight-related comorbidity.

METHODS

This was a 40-week, randomized (1:1 ratio), placebo-controlled, double-blind, parallel-group, 2-arm clinical trial of liraglutide targeted to 3.0 mg/d (in combination with a reduced-calorie diet and increased physical activity) in 60 participants with stable BD who were obese or overweight. Primary outcome was percent change in body weight from baseline to study end. Secondary outcomes included percentage of patients who lost ≥5% of baseline body weight, and changes in metabolic variables and measures of eating psychopathology.

RESULTS

There were no significant baseline differences between the 29 liraglutide recipients and the 31 placebo recipients, except that liraglutide recipients had higher levels of binge eating and lower levels of high-density lipoprotein cholesterol. Compared with placebo, liraglutide was associated with significantly greater reductions in percent change in body weight, percentage of participants who lost at least 5% of body weight, and reductions in weight, BMI, hemoglobin A 1c levels, binge eating, and hunger. Liraglutide was well tolerated.

CONCLUSIONS

Liraglutide 3 mg/d may be efficacious and safe for weight loss in individuals with stable BD and obesity or overweight.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT03158805).

Comparative mortality risks in two independent bipolar cohorts

OBJECTIVES

To compare mortality rates in bipolar disorder with common causes of mortality.

METHODS

Observational data from the Prechter Longitudinal Study of Bipolar Disorder (PLS-BD) of 1128 participants including 281 controls was analyzed using logistical regression to quantify mortality rates in comparison with common comorbidities and causes of death. Outcome and treatment measures, including ASRM, GAD-7, PHQ-9 and medication use were used to stratify those with bipolar disorder (BD) that are alive or deceased. A larger cohort of 10,735 existing BD patients with 7,826 controls (no psychiatric diagnosis) from the University of Michigan Health (U-M Health) clinics was used as replication, observational secondary data analysis.

RESULTS

The mortality rates are significantly different between those with BD and controls in both PLS-BD and U-M Health. Those with BD and are deceased have a higher percentage of elevated depression measures but show no difference in mania or anxiety measures nor medication use patterns. In both cohorts, a diagnosis of BD increases the odds of mortality greater than history of smoking or being older than ≥ 60-years of age.

CONCLUSION

BD was found to increase odds of mortality significantly and beyond that of a history of smoking. This finding was replicated in an independent sample.

The network structure of mania symptoms differs between people with and without binge eating

OBJECTIVES

People with bipolar disorder who also report binge eating have increased psychopathology and greater impairment than those without binge eating. Whether this co-occurrence is related to binge eating as a symptom or presents differently across full-syndrome eating disorders with binge eating is unclear.

METHODS

We first compared networks of 13 lifetime mania symptoms in 34,226 participants from the United Kingdom's National Institute for Health and Care Research BioResource with (n = 12,104) and without (n = 22,122) lifetime binge eating. Second, in the subsample with binge eating, we compared networks of mania symptoms in participants with lifetime anorexia nervosa binge-eating/purging (n = 825), bulimia nervosa (n = 3737), and binge-eating disorder (n = 3648).

RESULTS

People with binge eating endorsed every mania symptom significantly more often than those without binge eating. Within the subsample, people with bulimia nervosa most often had the highest endorsement rate of each mania symptom. We found significant differences in network parameter statistics, including network structure (M = 0.25, p = 0.001) and global strength (S = 1.84, p = 0.002) when comparing the binge eating with no binge-eating participants. However, network structure differences were sensitive to reductions in sample size and the greater density of the latter network was explained by the large proportion of participants (34%) without mania symptoms. The structure of the anorexia nervosa binge-eating/purging network differed from the bulimia nervosa network (M = 0.66, p = 0.001), but the result was unstable.

CONCLUSIONS

Our results suggest that the presence and structure of mania symptoms may be more associated with binge eating as a symptom rather than any specific binge-type eating disorder. Further research with larger sample sizes is required to confirm our findings.

Long-term weight loss outcomes after bariatric surgery: a propensity score study among patients with psychiatric disorders

INTRODUCTION

To analyze the safety and long-term result of bariatric surgery in patients with psychiatric disorders.

MATERIAL AND METHODS

From January 2009 to December 2018, n = 961 patients underwent bariatric surgery in a tertiary center. Among them, two groups of patients were created: a group of patients with psychiatric disorders (PG) and a group without psychiatric disorders (CG), using a propensity score matched (PSM). Primary endpoint was long-term outcomes and secondary endpoints were the postoperative morbidity 90 days after surgery, late morbidity, occurrence of psychiatric adverse events, and resolution of obesity-related comorbidities.

RESULTS

Analysis with PSM permitted to compare 136 patients in each group, with a ratio 1:1. TWL% at 2 years in the PG was 32.7% versus 36.6% in the CG (p = 0.002). Overall surgical morbidity was higher in the PG than the CG (28% vs 17%, p = 0.01). Severe surgical complications were not statistically significant (4% vs 3%, p = 0.44). Psychiatric adverse events were significantly more frequent in the PG than in the CG. The resolution of obesity comorbidities was equivalent for both groups at 2 years.

CONCLUSION

Substantial weigh loss was reported among patients with psychiatric disorders receiving bariatric surgery at the cost of more non-severe surgical complications. Further, a psychiatric postoperative follow-up visit may be warranted for patients with preoperative psychiatric disorders, given the incidence of psychiatric adverse events.

Heightened inflammation in bipolar disorder occurs independent of symptom severity and is explained by body mass index

Inflammation is hypothesized to be a key component of bipolar disorder (BP) development and progression. However, findings linking BP prevalence and symptomology to immune functioning have been mixed, with some work suggesting that obesity may play an important role in BP-relevant inflammation. Here we investigate differences in biomarkers of inflammation [C-reactive protein (CRP), interleukin (IL)-1β, IL-6, IL-8, IL-10] between healthy controls (HC) and individuals with BP or other mental illness (MI). Adults with BP, MI, or HC (n = 545, 70% BP, 21% HC, 9% MI) self-reported depressive and manic symptoms close to a blood draw and physical exam that included measurement of height and weight. A composite score was calculated from the four cytokines measured in plasma; follow-up analyses explored a pro-inflammatory composite and IL-10, individually. BP individuals had elevated cytokine concentrations compared to HC (B = 0.197, [0.062, 0.333], t (542) = 2.855, p = .004); this difference was also evident for the pro-inflammatory composite and for IL-10. Cytokine concentrations were not associated with BP mood states. Body mass index (BMI), an indicator of obesity, was significantly higher in BP compared to HC (B = 3.780, [2.118, 5.443], t (479) = 4.457, p < .001) and differences in cytokines between the two groups was no longer significant after controlling for BMI. No differences in CRP were evident between BP and HC. These results suggest that cytokine concentrations are elevated in BP and this difference from HC is associated with obesity. Interventions targeting immune modulators in BP must carefully consider the complex relationships within the BP-inflammation-obesity triangle.

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.

Prevalence and impact of antipsychotic discontinuation among commercially-insured patients with bipolar disorder

BACKGROUND

Antipsychotic discontinuation is common among patients with bipolar disorder, especially when psychotic symptoms are remitted. This analysis describes the prevalence, predictors, and economic impact of antipsychotic discontinuation among patients with bipolar disorder.

METHODS

A retrospective, observational study was conducted using administrative claims data in the IBM MarketScan Commercial Database. Patients with ≥1 claim with a diagnosis for bipolar disorder (manic or mixed) and newly-initiating antipsychotic therapy between 1 January 2011 and 30 June 2016 were included. Baseline characteristics were assessed in the 12 months prior to the initiation. Outcomes were assessed during a 24-month follow-up. Discontinuation of antipsychotic therapy was utilized as a predictor of healthcare costs in models adjusted for baseline characteristics. Using limited set of variables in the claims database, predictors of discontinuation were also assessed.

RESULTS

A total of 18,259 commercially-insured patients were identified as initiators of antipsychotics. Common comorbidities among the cohorts included major depressive disorder and dyslipidemia. Discontinuation was very common among these patients (85%). Major depressive disorder, drug abuse, and other substance abuse/dependency were predictive of discontinuation. Controlling for differences in baseline characteristics, discontinuation was associated with 33% higher inpatient and emergency visit costs (p <.001) among those using these services, and 24% higher total healthcare costs (p <.001) for the overall cohort.

CONCLUSIONS

Most patients with bipolar mania or mixed states discontinue antipsychotic treatment in less than 2 years. Antipsychotic discontinuation contributes to excess healthcare costs. Future research focusing on the reasons for discontinuation and tailoring disease management based on comorbidities may inform adherence improvement initiatives.

Eating Habits and Eating Disorder Associated Behavior in Bipolar Disorder

A relevant comorbidity of bipolar disorder (BD) is eating disorders (EDs). Crossed vulnerability factors as eating disorder-specific symptoms (EDSSs) may trigger the onset of both disorders in either direction. The Structured Inventory for Anorexic and Bulimic Eating Disorders for Self-Report was used to examine the occurrence of EDs in euthymic/subsyndromal individuals with BD ( n = 86) and healthy controls ( n = 86) matched for age and sex. Furthermore, we explored EDSSs with the subscales "general psychopathology and social integration," "bulimic symptoms," "body image and slimness ideal," "sexuality and body weight," "counteract," and "atypical binge." Higher rates of all EDSSs were reported in BD. Younger individuals with BD showed higher expression in "bulimic symptoms," "body image and slimness ideal," and "atypical binge" subscales. No participants fulfilled ED diagnosis. The findings show a link between EDSS and BD. Clinicians should pay attention to a multimodal intervention, considering risk factors, investigating eating habits and ED associated behaviors.

Evaluation of factors associated with medication adherence in patients with bipolar disorder using a medication event monitoring system: a 6-month follow-up prospective study

BACKGROUND

Non-adherence in patients with bipolar disorder (BD) results in symptoms, such as aggravation, BD recurrence, emergency room visits, re-hospitalization, and poor psychosocial outcomes. Though non-adherence rates have been reported to range between 30-50% in patients with BD, the problem of adherence is often either overlooked by the physician or denied by the patient. An essential first step to enhancing medication adherence is to objectively estimate adherence. The Medication Event Monitoring System (MEMS), which is a pill bottle cap with a microprocessor, is an accurate device for assessing medication adherence. Using the MEMS, we aimed to measure medication adherence in patients with BD and evaluate the factors associated with and 6-month changes in medication adherence.

METHODS

Participants with BD were recruited from the psychiatric outpatient clinic of the Korea University Guro Hospital. The medication adherence of each participant was assessed using the MEMS, a self-report, pill count, and clinician rating. MEMS-measured adherence was reassessed after 6 months. Patient demographics were recorded and clinical assessments were conducted. Data were analyzed using Kappa statistics and Pearson's correlation analysis.

RESULTS

Of the 59 participants, 50 records were included in the analysis. Patient adherence and adherence rate assessed by the MEMS were lower than those assessed by the other measures. MEMS-measured adherence was correlated more closely with pill counts than with self-reports or clinician ratings. MEMS-measured adherence was negatively associated with prescription duration and the Brief Psychiatric Rating Scale-Affect Subscale Score. Six-month changes in MEMS-measured adherence were positively associated with attitude toward drugs and negatively associated with weight gain assessed by the Udvalg for Kliniske Undersøgelser Side Effect Rating Scale.

CONCLUSIONS

Clinicians may have to consider the limited accuracy of self-reporting and clinician rating methods and exercise caution when assessing the medication adherence of patients with BD using these methods. Our findings may assist clinicians in the assessment and improvement of medication adherence in patients with BD and, consequently, may be useful for the treatment and prevention of BD recurrence.

Dosing of Mood Stabilizers for Bipolar Disorder Patients in the Research on Asian Psychotropic Prescription Patterns Consortium Study

BACKGROUND

Because use and dosing of mood stabilizers (MSs) to treat bipolar disorder (BD) patients in Asia are not well documented, we examined prevalence and clinical correlates of treatment of Asian BD patients with relatively high doses of MSs.

METHODS

We conducted a pharmacoepidemiological survey across 13 Asian countries and territory in the Research on Asian Psychotropic Prescription Patterns Consortium. Mood stabilizer doses were converted to lithium carbonate equivalents (Li-eq milligrams per day). We compared relatively high (>900 Li-eq mg/day) versus lower MS doses by bivariate comparisons, followed by multivariable linear regression to identify factors associated with higher MS doses.

RESULTS

Among 1647 participants, MS dose averaged 584 (confidence interval, 565-603 Li-eq mg/d). Preliminarily, the 13.1% of the subjects given greater than 900 mg/d versus those given lower doses were younger, male, currently hospitalized, not currently depressed, and reported lifetime suicidal ideation; they also received relatively high doses of antipsychotics, received electroconvulsive treatment within the previous 12 months, and had greater ratings of tremors and sedation. By linear regression modeling, the mean proportion given high doses of MS was associated significantly and independently with higher doses of antipsychotics, younger age, male sex, hospitalized, more years of illness, country, higher body mass index, recent electroconvulsive treatment, and being in illness remission.

CONCLUSIONS

Relatively high doses of MSs for BD are prevalent, but vary markedly among Asian countries, and are particularly likely among young males, ill for many years, and given high doses of antipsychotics or ECT. These characteristics allow better identification of patient profiles that can guide treatment of BD patients.

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.

Gender and Body Mass Index-Related Serum Level of Adipokines and Metabolic Syndrome Components in Bipolar Patients who received Lithium and Valproic Acid

Background: This is the study to assess alterations on adiponectin, leptin, and metabolic syndrome components in women and men bipolar disorder (BD) patients with normal weight and obesity who received valproic acid (VPA) and lithium (Li). Methods: Thirty-six women and 51 men were included. Commercial kits were used to determine all parameters. Metabolic syndrome components were determined according to the NCEP ATP III criteria. Results: Patients who received Li and VPA significantly differ in waist circumference (WC) and triglyceride (TG) levels (in women and men). Normal weight patients received both drugs, significant differences were considered in high-density lipoprotein-cholesterol (HDL-C), WC, and TG levels compared to healthy controls, but there were significant differences in TG, leptin, and adiponectin levels in obese patients who received VPA. There were significant negative and positive correlation between leptin and adiponectin and WC and TG in women and men BD patients treated with VPA and Li. There were significant positive correlation between leptin and adiponectin and WC and TG and significant negative correlation with HDL-C in normal weight BD patients treated with VPA and Li, respectively, while there was only a significant positive correlation between leptin and adiponectin, and TG in obese BD patients treated with VPA. Conclusions: It looks like that patients treated with both drugs for our suggested time may increase leptin and adiponectin levels. Correlation differences between leptin and adiponectin, and metabolic syndrome components may be important parameters in women, men, normal weight, and obese BD patients. Monitoring of body composition and adipokines may benefit in medical care of these patients.

Lithium therapy and weight change in people with bipolar disorder: A systematic review and meta-analysis

Lithium remains the gold standard maintenance treatment for Bipolar Disorder (BD). However, weight gain is a side effect of increasing relevance due to its metabolic implications. We conducted a systematic review and meta-analysis aimed at summarizing evidence on the use of lithium and weight change in BD. We followed the PRISMA methodology, searching Pubmed, Scopus and Web of Science. From 1003 screened references, 20 studies were included in the systematic review and 9 included in the meta-analysis. In line with the studies included in the systematic review, the meta-analysis revealed that weight gain with lithium was not significant, noting a weight increase of 0.462 Kg (p = 0158). A shorter duration of treatment was significantly associated with more weight gain. Compared to placebo, there were no significant differences in weight gain. Weight gain was significantly lower with lithium than with active comparators. This work reveals a low impact of lithium on weight change, especially compared to some of the most widely used active comparators. Our results could impact clinical decisions.

Older Age Bipolar Disorder

Further understanding of older age bipolar disorder (OABD) may lead to more specific recommendations for treatment adjusted to the specific characteristics and needs caused by age-related somatic and cognitive changes. Late-onset mania has a broad differential diagnosis and requires full psychiatric and somatic work-up, including brain imaging. Research on pharmacotherapy in OABD is limited. First-line treatment of OABD is similar to that for adult bipolar disorder (BD), with specific attention to vulnerability to side effects and somatic comorbidity. Because findings in younger adults with BD cannot be extrapolated to OABD, more research in OABD is warranted.

Trajectories of medication adherence in patients with Bipolar Disorder along 2 years-follow-up

BACKGROUND

Bipolar disorder (BD) is a chronic and severe mental illness. It requires a non-discontinued pharmacological treatment to prevent mood recurrences but nonadherence to medication is frequent. To this date, medication adherence in BD has been mostly evaluated in cross-sectional studies and often considered as a stable trait. We aimed to study medication adherence using a prospective person-oriented approach.

METHODS

1627 BD patients were followed on a 2 years period and assessed every 6 months. Medication adherence was evaluated at each visit with the Medication Adherence Rating Scale (MARS). A latent class mixed model (LCMM) was used to identify trajectory classes of adherence over time. Regression analyses and linear mixed model were used to search for predictors and covariables of the trajectories.

RESULTS

Three distinct and robust trajectories of medication adherence have been identified: one that starts poorly and keeps deteriorating (4.8%), one that starts poorly but improves (9%) and one that starts well and keeps improving (86.2%). A good tolerance to psychotropic medications, low depressive symptoms, the absence of comorbid eating disorders and anticonvulsant medication were associated to a better prognosis of adherence. Along the follow-up, the lower were the depressive symptoms, the better was the medication adherence (p < .001) LIMITATIONS: The use of a single measure of medication adherence although it is a validated instrument and a possible positive selection bias that might limit the generalization of our findings.

CONCLUSIONS

This study demonstrates that medication adherence in BD patients is a heterogeneous and potentially variable phenomenon.

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

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

Acceptability of Acute and Maintenance Pharmacotherapy of Bipolar Disorder: A Systematic Review of Randomized, Double-Blind, Placebo-Controlled Clinical Trials

PURPOSE/BACKGROUND

The aim of the study was to estimate and rank the risk for the discontinuation due to adverse events (DAEs), 7% or more weight gain (WG), and somnolence during the acute and maintenance treatment of bipolar disorder with a mood stabilizer or an antipsychotic monotherapy.

METHODS/PROCEDURES

The search of MEDLINE, EMBASE, PsycINFO, and clinicaltrials.gov from the inception to December 31, 2018, provided 32 studies in mania, 16 in bipolar depression, and 13 in maintenance. Data of DAEs, WG, and somnolence from each study were extracted. The risk for these variables of an active treatment relative to placebo was estimated with a number needed to harm (NNH) as a single study and pooled sample.

FINDINGS/RESULTS

For DAEs, pooled NNH ranged from 19 with carbamazepine to -21 with quetiapine-XR in mania, 11 with quetiapine-IR 600 mg/d to -37 with olanzapine/fluoxetine combination in bipolar depression, and 5 with lithium to -8 with asenapine in maintenance. For WG, pooled NNH ranged from 9 with olanzapine to -78 with aripiprazole in mania, 5 with olanzapine to -112 with lithium in bipolar depression, and 4 with olanzapine to 126 with asenapine in maintenance. For somnolence, pooled NNH was from 5 with carbamazepine to 23 with cariprazine in mania, 3 with quetiapine-XR 300 mg/d to 79 with lurasidone in bipolar depression, and 11 with olanzapine to -49 with aripiprazole in maintenance.

IMPLICATIONS/CONCLUSIONS

All medications studied in bipolar disorder were relatively well tolerated during different phases of treatment; however, the risk for short- and long-term WG and somnolence varied widely among included psychotropics.

An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation

Background

People with severe mental illness (SMI) often have poorer physical health than the general population. A coproduced physical activity intervention to improve physical activity for people with SMI in Northern Ireland was evaluated by co‐researchers (researchers with lived experience of SMI) and academic researchers using a new approach to participatory data analysis called participatory theme elicitation (PTE).

Objective

Co‐researchers and academic researchers analysed the data from the pilot study using PTE. This paper aimed to compare these analyses to validate the findings of the study and explore the validity of the PTE method in the context of the evaluation of a physical activity intervention for individuals with SMI.

Results

There was alignment and congruence of some themes across groups. Important differences in the analyses across groups included the use of language, with the co‐researchers employing less academic and clinical language, and structure of themes generated, with the academic researchers including subthemes under some umbrella themes.

Conclusions

The comparison of analyses supports the validity of the PTE approach, which is a meaningful way of involving people with lived experience in research. PTE addresses the power imbalances that are often present in the analysis process and was found to be acceptable by co‐researchers and academic researchers alike.

Identifying characteristics and outcomes in youth with obesity and developmental disabilities

BACKGROUND

Youth with developmental disability are at increased risk of obesity; literature focusing on the two is rare.

OBJECTIVE

To identify characteristics and outcomes of youth presenting for obesity care having a disability as compared to without.

METHODS

A medical record review of youth aged 2-18 years initiating obesity care 2013-2015 at a tertiary care obesity management program. Youth were grouped by disability status to identify differences in presenting characteristics and factors associated with a reduction in body mass index (BMI) percent of the 95th BMI percentile (BMIp95) over 12 months. Logistic regression (LR) models examined associations with BMIp95 drop (<5-points versus ≥5-points) for each disability group.

RESULTS

Of 887 subjects, 253 (28.5%) had a disability. At presentation, youth with disability were more often (p < 0.01) male (58.5% versus 47.9%), had birth weight <2500 g (14.1% versus 8.4%), had a father who was not obese (61.6% versus 47.4%), and were on weight influencing medications. Overall, 182 subjects (20.5%) completed 12-month follow-up. At follow-up, the with disability group (n = 63) had mean -2.3 (SD 10.7) BMIp95 change (p = 0.679); youth having a motor disability less often had ≥5-point BMIp95 drop (odds ratio 0.15, 95% confidence interval 0.04-0.59). At follow-up, the no disability group (n = 119) had mean -2.9 (SD 8.5) BMIp95 change; youth identified as having initial severe obesity status and not having a parent with diabetes more often had ≥5-point BMIp95 drop.

CONCLUSION

Youth with developmental disabilities were as successful in obesity care as those without disabilities. Predictors of success differed between the groups.

The association between leptin and adiponectin, and metabolic syndrome components and serum levels of lipid peroxidation in bipolar disorder patients treated with lithium and valproic acid

BACKGROUND

The aim of study is to assess a relation between the adiponectin and leptin levels, and metabolic syndrome components and lipid peroxidation treated with Li and VPA in bipolar disorder patients and compared with controls.

MATERIALS AND METHODS

56 patients and 31 healthy controls were enrolled. The ATP III criteria were used to determine metabolic syndrome components. Leptin, adiponectin, lipid peroxidation and lipid profiles were measured.

RESULTS

Malondialdehyde in Li patients was higher than VPA patients. BMI, waist circumference (WC), triglyceride, malondialdehyde and adiponectin levels were increased, whereas HDL-cholesterol (VPA treated patients) and leptin were decreased in patients compared with controls. Leptin and adiponectin were correlated with WC, triglyceride and malondialdehyde in both groups. Adiponectin was correlated with HDL-cholesterol in VPA patients.

CONCLUSION

Patients should be checked metabolic syndrome components, serum leptin and adiponectin level occasionally to prevent possible deficiency or pathologic increase of these parameters.

Hidradenitis suppurativa and psychiatric comorbidities, suicides and substance abuse: systematic review and meta-analysis

Background

Hidradenitis suppurativa (HS) is a chronic inflammatory skin disorder of the hair follicles, and has been associated with a multitude of systemic disorders and pathologies. There is increasing evidence to suggest that chronic inflammatory skin disorders may be associated with psychiatric comorbidities, however this relationship has not been well established. We aimed perform a systematic review and meta-analysis to assess the association between HS and psychiatric comorbidities, suicide and substance abuse.

Methods

A systematic review and meta-analysis was performed according to PRISMA guidelines.

Results

HS cases had a significantly higher odds of having schizophrenia compared to the control group (OR 1.66, 95% CI: 1.53–1.79, P<0.00001). There was also a significant association with bipolar disorders (OR 1.96,95% CI: 1.65–2.33, P<0.00001), depression (OR 1.75, 95% CI: 1.44–2.13, P<0.00001), anxiety (OR 1.71, 95% CI: 1.51–1.92, P<0.00001), and personality disorders (OR 1.50, 95% CI: 1.18–1.92, P=0.001), suicide (OR 2.08, 95% CI: 1.27–3.42, P=0.004), substance-related disorders (OR 2.84, 95% CI: 2.33–3.46, P<0.00001), and alcohol abuse (OR 1.94, 95% CI: 1.43–2.64, P<0.0001).

Conclusions

For dermatologists treating patients with HS, screening for these comorbidities, psychiatric referral and adequately managing pain will improve the overall wellbeing of patients.

Clinical Risk Factors for Therapeutic Lithium-Associated Electrocardiographic Changes in Patients With Bipolar Disorder

PURPOSE/BACKGROUND

Lithium, a common medication used in bipolar disorder treatment, can exert an inhibitory effect on sodium and potassium channels and potentially cause cardiac electrical conduction disturbance and corrected QT (QTc) prolongation. This study aimed to examine whether lithium at therapeutic levels can change electrocardiographic parameters in different groups of patients with bipolar disorder and to identify the potential clinical risk factors.

METHODS/PROCEDURES

Standard 12-lead electrocardiogram data before and after lithium treatment in bipolar disorder patients after at least 2-week dropout of psychotropic medications were analyzed.

FINDINGS/RESULTS

A total of 39 patients with bipolar disorder receiving lithium treatment were enrolled. Nineteen patients (48.7%) exhibited increased from P wave beginning to QRS complex beginning intervals after lithium treatment (mean serum level, 0.653 ± 0.247 mmol/L). Twenty-four patients (61.5%) exhibited increased a combination of Q, R, and S waves complex durations and increased QTc intervals. Twenty-three patients (59.0%) exhibited increased corrected JT (JTc) intervals. The patient group with increased QTc or JTc intervals exhibited a higher mean systolic blood pressure than did the patient group without increased QTc (134.7 ± 19.2 mm Hg vs 115.7 ± 11.8 mm Hg, P = 0.020) or JTc intervals (134.4 ± 19.6 mm Hg vs 117.6 ± 13.3 mm Hg, P = 0.054), respectively. Biochemical and hemodynamic parameters were comparable between patients with and without increased a combination of Q, R, and S waves complex durations or from P wave beginning to QRS complex beginning intervals.

IMPLICATIONS/CONCLUSIONS

Elevated systolic blood pressure may be the risk factor for the ventricular conduction delay in bipolar disorder patients receiving lithium at therapeutic levels.

The impact of binge eating behavior on lithium- and quetiapine-associated changes in body weight, body mass index, and waist circumference during 6 months of treatment: Findings from the bipolar CHOICE study

BACKGROUND

Lithium and quetiapine can cause weight gain, but their comparative longer term anthropometric effects are unknown, as are the potential moderating effects of baseline binge-eating (BE) behavior.

METHODS

We assessed 6 month changes in body weight, body mass index (BMI) and waist circumference in 482 adults with DSM-IV bipolar disorders who participated in a comparative effectiveness study of lithium and quetiapine with evidence-based adjunctive treatment (Bipolar CHOICE). Anthropometric measurements were obtained at baseline, and at 2, 4, 6, 8, 12, 16, 20, and 24 weeks. BE behavior was defined as affirmative responses to MINI items M1 and M3 at baseline. Data were analyzed using a mixed model repeated measures approach, adjusted for baseline values of dependent measures.

RESULTS

On average, body weight and BMI increased over 6 months with lithium and quetiapine. However, those treated with quetiapine experienced greater increases from baseline in body weight (peak change, + 3.6 lbs. vs. + 1.4 lbs.) and BMI (peak change, + 0.6 kg/m² vs. + 0.3 kg/m²), starting at 2 weeks (group x time, F_8,3052= 2.9, p = 0.003 for body weight, F_8,3052= 3.0, p = 0.002 for BMI). Significant increases in waist circumference were observed only with quetiapine. The relationship between drug treatment and changes in body weight (group x time x binge eating status, F_1,2770= 2.0, p = 0.002), BMI (F_1,2767= 2.0, p = 0.002), and waist circumference (women only, F_25,1621= 2.9, p < 0.0001) were moderated by BE behavior. The largest increases over 24 weeks in body weight and BMI, and waist circumference in women, occurred for quetiapine-treated patients with baseline binge-eating, relative to quetiapine-treated patients without binge eating and lithium-treated patients with or without baseline binge-eating.

LIMITATIONS

Bipolar CHOICE was not designed to study anthropometric outcomes.

CONCLUSIONS

Greater changes in body weight, BMI, and waist circumference occurred with quetiapine- versus lithium-based treatment over 6 months of treatment. The effects of study drugs on these anthropometric measures were moderated by BE behavior at baseline.

Maternal lithium chloride exposure alters the neuroendocrine-cytokine axis in neonatal albino rats

The aim of this work was to clarify whether maternal lithium chloride (LiCl) exposure disrupts the neonatal neuroendocrine-cytokine axis. Pregnant Wistar rats were orally administrated 50 mg LiCl/kg b.wt. from gestational day (GD) 1 to postpartum day 28. Maternal administration of LiCl induced a hypothyroid state in both dams and their neonates compared to the control dams and neonates at lactation days (LDs) 14, 21 and 28, where the levels of serum free triiodothyronine (FT3) and free thyroxin (FT4) were decreased and the level of serum thyrotropin (TSH) level was increased. A noticeable depression in maternal body weight gain, neonatal body weight and neonatal serum growth hormone (GH) was observed on all examined postnatal days (PNDs; 14, 21 and 28). A single abortion case was recorded at GD 17, and three dead neonates were noted at birth in the LiCl-treated group. Maternal administration of LiCl disturbed the levels of neonatal serum tumor necrosis factor-alpha (TNF-α), transforming growth factor-beta (TGF-β), interleukin-1 beta (IL-1β), interferon-gamma (INF-γ), leptin, adiponectin and resistin at all tested PNDs compared to the control group. This administration produced a stimulatory action on the level of neonatal cerebral serotonin (5-HT) at PND 14 and on the level of neonatal cerebral norepinephrine (NE) at PNDs 21 and 28. However, this administration produced an inhibitory action on the level of neonatal cerebral dopamine (DA) at all examined PNDs and on the level of neonatal cerebral NE at PND 14 and the level of neonatal cerebral 5-HT at PNDs 21 and 28 compared to the corresponding control group. Thus, maternal LiCl exposure-induced hypothyroidism disrupts the neonatal neuroendocrine-cytokine system, which delay cerebral development.

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.

Increased risk for venous thromboembolism among patients with concurrent depressive, bipolar, and schizophrenic disorders

OBJECTIVE

The study aim was to investigate the risk of venous thromboembolism (VTE) in patients with concurrent depressive, bipolar, and schizophrenic disorders.

METHODS

A population-based cohort study was conducted in which information regarding psychiatric illnesses and medical comorbidities in 29,467 patients with concurrent depressive, bipolar, and schizophrenic disorders and regarding 117,868 controls were extracted. We compared the incidence of VTE between the study and control cohorts. Cox proportional hazard regression models were used to analyze the risk of VTE after adjusting for potential confounders, including sex, age, and comorbidities.

RESULTS

Compared with the control cohort, the overall study cohort had a 2.995-fold higher adjusted hazard ratio (aHR) for development of deep vein thrombosis (DVT) and a 2.591-fold higher aHR for development of pulmonary embolism (PE). Moreover, patients with depressive, bipolar, and schizophrenic disorders all exhibited higher aHRs for development of both DVT and PE.

CONCLUSION

The relative risks of DVT and PE were higher in patients with concurrent depressive, bipolar, and schizophrenic disorders than those of the general population. Further research is needed to develop effective prevention strategies for different patient populations.

Prevalence and Factors Associated With Psychiatric Medication Use in Bariatric Surgery Candidates

OBJECTIVE

We aimed to describe the rates of psychiatric medication use in bariatric surgery candidates and factors associated with psychiatric medication use.

METHODS

Patients from the Toronto Western Hospital Bariatric Surgery Program were recruited from 2011 to 2014. Data extracted included demographics, clinical factors (e.g., mood disorder, anxiety disorder, eating disorder, Patient Health Questionnaire-9, Generalized Anxiety Disorder 7), and psychiatric medication use. Logistic regression analyses were used to examine the relationship between demographic variables, clinical factors, and psychiatric medication use. Multiple logistic regression was conducted to determine the predictors of clinical factors from demographic variables with psychiatric medication use.

RESULTS

A total of 262 (35.1%) patients were taking at least 1 psychiatric medication and 105 patients (14.1%) were taking more than 1 psychiatric medication. Antidepressants were the most common psychiatric medication reported. The majority of patients taking a psychiatric medication had a psychiatric illness, with 16.0% not having a lifetime diagnosis of a mental illness. Being male and being employed significantly predicted lower odds of being on a psychiatric medication. Older age significantly predicted higher odds of being on a psychiatric medication. Psychiatric disorders were significantly associated with psychiatric medication use independent of demographic variables.

CONCLUSION

Our study provides insights into clinical and demographic factors related to psychiatric medication use in bariatric surgery patients. The findings support careful screening and clarification of psychiatric medications, especially in patients without a formal psychiatric diagnosis.

Asenapine in the management of impulsivity and aggressiveness in bipolar disorder and comorbid borderline personality disorder: an open-label uncontrolled study

Borderline personality disorder (BPD) often co-occurres with bipolar disorder (BD). Impulsivity and aggressiveness represent core shared features and their pharmacological management is mainly based on mood stabilizers and antipsychotics, although scarce evidence is available for this context of comorbidity. The aim of the present study was to evaluate the role of Asenapine as an adjunctive drug for reducing aggressiveness and impulsivity in a sample of Italian BD type I outpatients with or without a comorbid BPD. This was an observational 12-week open-label uncontrolled clinical study carried out from April to October 2014 in two psychiatric clinics in Sicily. Each patient was treated with asenapine at two dose options, 5 mg (twice daily) or 10 mg (twice daily), and concomitant ongoing medications were not discontinued. We measured impulsivity using the Barratt Impulsiveness Scale (BIS) and aggressiveness using the Aggressive Questionnaire (AQ). For the analysis of our outcomes, patients were divided into two groups: with or without comorbid BPD. Adjunctive therapy was associated with a significant decrease of BIS and AQ overall scores in the entire bipolar sample. Yet, there was no significant difference in BIS and AQ reductions between subgroups. Using a regression model, we observed that concomitant BPD played a negative role on the Hostility subscale and overall AQ score variations; otherwise, borderline co-diagnosis was related positively to the reduction of physical aggression. According to our post-hoc analysis, global aggressiveness scores are less prone to decrease in patients with a dual diagnosis, whereas physical aggressiveness appears to be more responsive to the add-on therapy in patients with comorbidity.

Older Age Bipolar Disorder

Further understanding of older age bipolar disorder (OABD) may lead to more specific recommendations for treatment adjusted to the specific characteristics and needs caused by age-related somatic and cognitive changes. Late-onset mania has a broad differential diagnosis and requires full psychiatric and somatic work-up, including brain imaging. Research on pharmacotherapy in OABD is limited. First-line treatment of OABD is similar to that for adult bipolar disorder (BD), with specific attention to vulnerability to side effects and somatic comorbidity. Because findings in younger adults with BD cannot be extrapolated to OABD, more research in OABD is warranted.

Lithium + Colchicine: A Potential Strategy to Reduce Pro-inflammatory Effects of Lithium Treatment

PURPOSE

Rosenblat and McIntyre (Acta Psychiatr Scand. 2015;132: 180-191) propose that immune disorders are important mediators between bipolar disorders and medical comorbidities. Rosenblat et al (Bipolar Disord. 2016;18:89-101) present a meta-analysis showing that adjunctive anti-inflammatory agents could evoke moderate antidepressant responses in bipolar disorders. We propose using the anti-inflammatory drug colchicine to improve the long-term safety and efficacy of lithium treatment for bipolar disorders.

METHODS

This report is based on searches of the PubMed and Web of Science databases.

RESULTS

Bipolar disorders are associated with significant medical comorbidities such as hypertension, overweight/obesity, diabetes mellitus, metabolic syndrome, and arteriosclerosis, accompanied by enhanced release of pro-inflammatory markers during changes in mood state. During lithium therapy, granulocyte-colony stimulating factor, CD34+ hematopoietic stem/progenitor cells, and neutrophil elastase enter the circulation with activated neutrophils to promote the extravascular migration of activated neutrophils and enhance tissue inflammation. Concurrent treatment with lithium and low-dose colchicine could facilitate the responsiveness of bipolar patients to lithium by reducing leukocyte tissue emigration, the release of neutrophil elastase, and the release of leukocyte pro-inflammatory cytokines such as IL-1β that are regulated by the NLRP3 inflammasome assembly complex.

CONCLUSIONS

Concurrent therapy with lithium and low-dose colchicine could reduce complications involving leukocyte-mediated inflammatory states in bipolar patients and promote patient acceptance and responsiveness to lithium therapy.

Inflammation: opportunities for treatment stratification among individuals diagnosed with mood disorders

Mood disorders continue to be a significant burden to those affected, resulting in significant illness-associated disability and premature mortality. In addition to mood disturbance, individuals also suffer from other transdiagnostic impairments (eg, anhedonia and cognitive impairment). Although there have been significant advancements in psychiatric treatment over the last few decades, treatment efficacy (eg, symptom remission, lack of functional recovery, and disease modification) continues to be an important limitation. Consequently, there is an urgent need to identify novel approaches capable of addressing the foregoing needs, providing the basis for the exploration of conceptual models and treatment opportunities that consider inflammation to be a key factor in mood disorder development. In part driven by metabolic comorbidities, a large proportion of individuals with mood disorders also have an imbalance in the inflammatory milieu. The aim of this review is to highlight evidence implicating inflammation in various effector systems in mood disorders, with a particular focus on the intercommunication with glutamatergic signaling, immune system signaling, as well as metabolic parameters (eg, L-methyl folate bioavailability). This article also briefly reviews novel and repurposed agents that are capable of targeting the innate immune inflammatory system and possibly correcting an abnormal immune/inflammatory milieu (eg, infliximab).

Obesity in patients with major depression is related to bipolarity and mixed features: evidence from the BRIDGE-II-Mix study

OBJECTIVES

The Bipolar Disorders: Improving Diagnosis, Guidance and Education (BRIDGE)-II-Mix study aimed to estimate the frequency of mixed states in patients with a major depressive episode (MDE) according to different definitions. The present post-hoc analysis evaluated the association between obesity and the presence of mixed features and bipolarity.

METHODS

A total of 2811 MDE subjects were enrolled in a multicenter cross-sectional study. In 2744 patients, the body mass index (BMI) was evaluated. Psychiatric symptoms, and sociodemographic and clinical variables were collected, comparing the characteristics of MDE patients with (MDE-OB) and without (MDE-NOB) obesity.

RESULTS

Obesity (BMI ≥30) was registered in 493 patients (18%). In the MDE-OB group, 90 patients (20%) fulfilled the DSM-IV-TR criteria for bipolar disease (BD), 225 patients (50%) fulfilled the bipolarity specifier criteria, 59 patients (13%) fulfilled DSM-5 criteria for MDEs with mixed features, and 226 patients (50%) fulfilled Research-Based Diagnostic Criteria for an MDE. Older age, history of (hypo)manic switches during antidepressant treatment, the occurrence of three or more MDEs, atypical depressive features, antipsychotic treatment, female gender, depressive mixed state according to DSM-5 criteria, comorbid eating disorders, and anxiety disorders were significantly associated with the MDE-OB group. Among (hypo)manic symptoms during the current MDE, psychomotor agitation, distractibility, increased energy, and risky behaviors were the variables most frequently associated with MDE-OB group.

CONCLUSIONS

In our sample, the presence of obesity in patients with an MDE seemed to be associated with higher rates of bipolar spectrum disorders. These findings suggest that obesity in patients with an MDE could be considered as a possible marker of bipolarity.

Twenty-year progression of body mass index in a county-wide cohort of people with schizophrenia and bipolar disorder identified at their first episode of psychosis

OBJECTIVE

There is an increased prevalence of obesity in schizophrenia and bipolar disorder, leading to a disproportionate risk of adverse health conditions. Prospective, long-term weight gain data, however, are scarce.

METHODS

We analyzed data from the Suffolk County Mental Health Project cohort of consecutive first admissions with psychosis recruited from September 1989 to December 1995 and subsequently followed for 20 years, focusing on people with schizophrenia (n=146) and bipolar disorder (n=87). The time course of weight gain was examined using a 2 (group)×5 (time) mixed-model repeated measures ANOVA, and body mass index (BMI) scores at the first (6 months) and second (2 years) assessments were compared to examine whether early overweight predicted later obesity.

RESULTS

There was a statistically significant effect of time (F(1,210)=68.06, P<.001) and diagnosis (F(1,210)=29.18, P<.001) on BMI, but not the interaction of time×diagnosis (F(1,210)=0.88, P=.48). Most participants had normal BMIs at the first two assessments. Early overweight was a predictor of eventual obesity for both groups. At the 20-year follow-ups, approximately 50% of the bipolar and 62% of the schizophrenia sample were obese, with a greater prevalence of obesity in schizophrenia at each assessment (all P<.02), except for years 4 (P=.12) and 20 (P=.27).

CONCLUSIONS

Nearly two-thirds of the participants with schizophrenia and over half of those with bipolar disorder were obese 20 years after first hospitalization for psychosis, considerably higher than the rate for adults in New York State (27%). Early intervention may be required to prevent long-term consequences of obesity-related morbidity and mortality.

Comparison of body composition in persons with epilepsy on conventional & new antiepileptic drugs

BACKGROUND & OBJECTIVES

Certain antiepileptic drugs (AEDs) such as valproic acid (VPA) are known to affect body weight, and lipid profile. However, evidences regarding effects of AEDs on the body composition are deficient. This cross-sectional study compared the body composition and lipid profile among patients with epilepsy on newer and conventional AEDs.

METHODS

The patients with epilepsy (n=109) on treatment with conventional and newer AEDs (levetiracetam, lamotrigine and clobazam) for > 6 months were enrolled. Of these, 70 were on monotherapy: levetiracetam (n=12), VPA (n=16), carbamazepine (n=20) and phenytoin (n=22) and the remaining on polytherapy. Their body composition [body fat mass, lean dry mass (LDM), total body water (TBW), intracellular water (ICW), extracellular water (ECW) and basal metabolic rate (BMR) was estimated and biochemical parameters were assessed.

RESULTS

Levetiracetam group had no significant difference with VPA, carbamazepine, phenytoin and control groups, except low LDM (17.8±2.4) than VPA groups (20.2±2.7, p<0.05). In comparison with control, AEDs monotherapy groups had no significant difference, except higher LDM and ECW in VPA group. Among groups based on conventional and newer AEDs, there was no significant difference in body composition parameters except for higher LDM (as % of BW) in conventional AEDs only treated group than control (p<0.01).

INTERPRETATION & CONCLUSIONS

The alterations observed in body composition with valproic acid in contrast to other AEDs like levetiracetam, carbamazepine and phenytoin could affect treatment response in epilepsy especially in subjects with already altered body composition status like obese and thin frail patients, which needs to be established by prospective studies (CTRI/2013/05/003701).

Psychiatric and physical comorbidities and their impact on the course of bipolar disorder: A prospective, naturalistic 4-year follow-up study

OBJECTIVES

The aim of the present study was to increase the available evidence on how physical and psychiatric comorbidities influence the long-term outcome in bipolar I and II disorder.

METHODS

We examined the prevalence of comorbid physical (metabolic, cardiovascular, thyroid, and neurological) diseases and psychiatric (neurotic, stress-related, somatoform, and personality) disorders and their impact on the risk of relapse in bipolar disorder. A total of 284 consecutively admitted patients with ICD-10 bipolar I (n=161) and II (n=123) disorder were followed up naturalistically over a period of 4 years.

RESULTS

Globally, 22.0% patients had metabolic, 18.8% cardiovascular, 18.8% thyroid, and 7.6% neurological diseases; 15.5% had neurotic, stress-related, and somatoform disorders; 12.0% had personality disorders; and 52.9% had nicotine dependence. We did not find any effect of comorbid metabolic, cardiovascular or neurological diseases or psychiatric disorders on the relapse risk. However, the presence of thyroid diseases, and especially hypothyroidism, was associated with an increased risk of manic relapse in bipolar disorder I (thyroid disease: hazard ratio [HR]=2.7; P=.003; hypothyroidism: HR=3.7;, P<.001). Among patients with hypothyroidism, higher blood levels of baseline thyroid-stimulating hormone (bTSH) were also associated with an increased risk of manic relapse (HR=1.07 per milli-international units per liter; P=.011), whereas blood levels of free triiodothyronine (fT₃ ) or free thyroxine (fT₄ ) were not found to have an influence.

CONCLUSIONS

Our data underline the negative long-term impact of thyroid diseases, and especially hypothyroidism with high blood levels of bTSH, on bipolar disorder with more manic episodes, and the importance of its detection and treatment.

Effect of Psychopharmacotherapy on Body Mass Index Among Children and Adolescents with Bipolar Disorders

OBJECTIVE

To assess the long-term effect of all treatment options for pediatric bipolar disorders on body mass index (BMI) and to explore individual characteristics associated with less BMI increase during psychotropic medication exposures.

METHODS

A retrospective cohort study was conducted by using the 1995 to 2010 General Electric Electronic Medical Record database. Individuals aged 18 years or younger who had a new bipolar disorder episode were identified. Treatment exposure was defined based on the medication regimens patients received, which include atypical antipsychotic (AT) monotherapy, mood stabilizer (MS) monotherapy, antidepressant (AD) monotherapy, AT+MS polytherapy, AT+AD polytherapy, MS+AD polytherapy, and no treatment. Both treatment exposure and BMI were coded as time varying, which could change from month to month. According to the duration of treatment and the availability of BMI measures, individuals were followed for up to 3, 6, 9, and 12 months since the treatment initiation. Repeated-measures mixed models were applied to compare the impact of different medication regimens and the length of drug exposure on BMI after adjusting for the baseline BMI, sociodemographic factors, comorbidities, and psychotherapy.

RESULTS

A total of 2299 treated and 4544 untreated children and adolescents who met the inclusion criteria were identified. Analysis using repeated-measures mixed models showed that those on AT monotherapy (the reference group) had a gradually diminished, but statistically significant, monthly increase in BMI during all durations of drug exposure (3 months: 0.36 kg/m², 6 months: 0.20 kg/m², 9 months: 0.17 kg/m², and 12 months: 0.16 kg/m²). As compared with AT monotherapy, the magnitude of increase in BMI associated with MS, AD monotherapy, and no treatment was significantly less at all time points, indicating less steep slopes of BMI change over time compared with AT monotherapy, especially during the short-term exposure. The combinations of AT with other psychotropic medications (ATMS, ATAD) were associated with a similar BMI increase as AT monotherapy. Individual characteristics found to be associated with a less increase in BMI during psychotropic medication exposure were being younger and having a higher baseline BMI.

CONCLUSION

The long-term use of atypical antipsychotics, both as monotherapy or in combination with other psychotropic medications in children and adolescents with bipolar disorder, was associated with a steady and cumulative increase in BMI.

Body mass index associates with white matter microstructure in bipolar depression

OBJECTIVES

Obesity has been reported in over 60% of bipolar disorder (BD) patients. It worsens the severity of illness, and influences cognition and functional outcomes. White matter (WM) abnormalities are one of the most consistently reported findings in neuroimaging studies of BD. We hypothesized that body mass index (BMI) could correlate with WM integrity in bipolar patients.

METHODS

We evaluated BMI in a sample of 164 depressed patients affected by BD. We performed whole-brain tract-based spatial statistics with threshold-free cluster enhancement for the diffusion tensor imaging (DTI) measures of WM integrity: fractional anisotropy; axial, radial, and mean diffusivity.

RESULTS

We observed that BMI was associated with DTI measures of WM integrity in several fiber tracts: anterior corona radiata, anterior thalamic radiation, inferior fronto-occipital fasciculus and corpus callosum.

CONCLUSIONS

The association of BMI in key WM tracts that are crucial to mood regulation and neurocognitive functioning suggests that BMI might contribute to the pathophysiology of BD through a detrimental action on structural connectivity in critical cortico-limbic networks.

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

OBJECTIVE

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

METHOD

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

RESULTS

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

CONCLUSION

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

Trajectories of body mass index change in first episode of mania: 3-year data from the Systematic Treatment Optimization Program for Early Mania (STOP-EM)

BACKGROUND

Overweight/obesity is common in patients with bipolar disorder (BD). However, little is known about longitudinal trends in body mass index (BMI) in patients with BD. Furthermore, most studies on the association between BMI and clinical outcomes are restricted by retrospective and cross-sectional designs. This study uses prospectively-gathered data from a first episode mania (FEM) cohort to examine the trajectories of BMI change and analyze their association with clinical outcomes during a 3-year period.

METHODS

A total of 110 FEM patients receiving maintenance treatment and 57 healthy subjects were included. The comparisons of BMI trajectories were examined using linear mixed-effects models. The effects of BMI on time to any mood episode were assessed by Cox proportional-hazards models.

RESULTS

The estimated mean BMI in FEM patients significantly increased from 24.0kg/m² to 25.4kg/m² within 6 months. FEM patients had a significant BMI increase trend over the entire 3 years follow-up, which was not observed in the control group. No significant difference in BMI trajectory between patient subgroups (baseline normal-weight vs. overweight/obese; male vs. female) was observed. BMI increase predicted an increased risk of recurrence during follow-up visits (HR=1.50, 95% CI: 1.06-2.13; p=0.02).

LIMITATIONS

Naturalistic design does not allow the accurate assessments of the impact of pharmacologic treatments on BMI.

CONCLUSIONS

FEM patients showed a significantly increased BMI trajectory compared to healthy subjects. Furthermore, BMI increase is independently associated with an increased risk of recurrence to a new mood episode during 3-year follow-up. Thus, weight control prevention is needed in the early course of BD.

Sex Differences in Weight Loss among Veterans with Serious Mental Illness: Observational Study of a National Weight Management Program

PURPOSE

Obesity disproportionately burdens individuals with serious mental illness (SMI), especially women. This observational study investigated whether there were sex differences in weight loss and program participation among veterans with SMI enrolled in the Veterans Health Administration's (VHA) MOVE! weight management program.

PROCEDURES

Participants were identified from a national cohort of 148,254 veterans enrolled in MOVE! during fiscal years 2008 through 2012 who attended two or more sessions within 12 months of enrollment. The cohort included those with International Classification of Disease, 9th Edition, Clinical Modification (ICD-9-CM) diagnoses for SMI, age less than 70 years, and weight data at baseline and one or more follow-up timepoints within approximately 1 year of enrollment (n = 8,943 men; n = 2,245 women). Linear mixed models assessed associations of sex with 6- and 12-month weight change from baseline, adjusting for demographic- and site-level variables.

FINDINGS

Both sexes averaged 6.4 (standard deviation, 4.6) sessions within 12 months; however, women with and without SMI participated at rates double their respective proportion rates among all VHA users. Participants averaged statistically significant weight loss at 6 months (men, -2.5 lb [95% CI, -2.8 to -2.1]; women, -2.4 lb [95% CI, -3.1 to -1.7]) and 12 months (men, -2.5 lb [95% CI, -2.8 to -2.2]; women, -2.9 lb [95% CI, -3.6 to -2.2]), but no sex-based difference in absolute weight loss at either timepoint. Slightly more women achieved 5% or greater (clinically significant) weight loss at the 12-month follow-up than did men (25.7% vs. 23.0%; p < .05).

CONCLUSIONS

Women with SMI participated in MOVE! at rates equivalent to or greater than men with SMI, with comparable weight loss. More women were Black, single, had bipolar and posttraumatic stress disorder, and higher service-connected disability, suggesting areas for program customization.

Evidence-based guidelines for treating bipolar disorder: Revised third edition recommendations from the British Association for Psychopharmacology

The British Association for Psychopharmacology guidelines specify the scope and targets of treatment for bipolar disorder. The third version is based explicitly on the available evidence and presented, like previous Clinical Practice Guidelines, as recommendations to aid clinical decision making for practitioners: it may also serve as a source of information for patients and carers, and assist audit. The recommendations are presented together with a more detailed review of the corresponding evidence. A consensus meeting, involving experts in bipolar disorder and its treatment, reviewed key areas and considered the strength of evidence and clinical implications. The guidelines were drawn up after extensive feedback from these participants. The best evidence from randomized controlled trials and, where available, observational studies employing quasi-experimental designs was used to evaluate treatment options. The strength of recommendations has been described using the GRADE approach. The guidelines cover the diagnosis of bipolar disorder, clinical management, and strategies for the use of medicines in short-term treatment of episodes, relapse prevention and stopping treatment. The use of medication is integrated with a coherent approach to psychoeducation and behaviour change.

Lithium or Valproate Adjunctive Therapy to Second-generation Antipsychotics and Metabolic Variables in Patients With Schizophrenia or Schizoaffective Disorder

OBJECTIVE

People with schizophrenia are at greater risk for cardiovascular disease and their overall mortality rate is elevated compared to the general population. The metabolic side effects of antipsychotic medications have been widely studied; however, the effect of adding conventional mood stabilizers, such as lithium and valproate, to antipsychotic medication has not been assessed in terms of metabolic risk. The primary purpose of this secondary analysis was to examine whether treatment with lithium or valproate in addition to a second-generation antipsychotic is associated with poorer metabolic outcomes than treatment with a second-generation antipsychotic without lithium or depakote.

METHODS

Baseline data from 3 studies, which included measurement of body mass index, waist circumference, fasting glucose, insulin, homeostatic model assessment of insulin resistance, insulin sensitivity index, glucose utilization, and acute insulin response to glucose, were included in the analysis.

RESULTS

No differences were found between those taking lithium or valproate and those who were not in terms of fasting glucose, fasting insulin, and homeostatic model assessment of insulin resistance. Insulin sensitivity was lower among participants taking lithium or valproate. Participants taking lithium or valproate had a higher body mass index than those not taking conventional mood stabilizers, although the difference did not reach statistical significance.

CONCLUSIONS

These cross-sectional findings suggest it may be beneficial to monitor insulin sensitivity and body mass index in patients taking lithium or valproate in combination with a second-generation antipsychotic.