The management of bipolar mania: a national survey of baseline data from the EMBLEM study in Italy

Dissecting Meta-Analysis in GWAS Era: Bayesian Framework for Gene/Subnetwork-Specific Meta-Analysis

Over the past decades, advanced high-throughput technologies have continuously contributed to genome-wide association studies (GWASs). GWAS meta-analysis has been increasingly adopted, has cross-ancestry replicability, and has power to illuminate the genetic architecture of complex traits, informing about the reliability of estimation effects and their variability across human ancestries. However, detecting genetic variants that have low disease risk still poses a challenge. Designing a meta-analysis approach that combines the effect of various SNPs within genes or genes within pathways from multiple independent population GWASs may be helpful in identifying associations with small effect sizes and increasing the association power. Here, we proposed ancMETA, a Bayesian graph-based framework, to perform the gene/pathway-specific meta-analysis by combining the effect size of multiple SNPs within genes, and genes within subnetwork/pathways across multiple independent population GWASs to deconvolute the interactions between genes underlying the pathogenesis of complex diseases across human populations. We assessed the proposed framework on simulated datasets, and the results show that the proposed model holds promise for increasing statistical power for meta-analysis of genetic variants underlying the pathogenesis of complex diseases. To illustrate the proposed meta-analysis framework, we leverage seven different European bipolar disorder (BD) cohorts, and we identify variants in the angiotensinogen (AGT) gene to be significantly associated with BD across all 7 studies. We detect a commonly significant BD-specific subnetwork with the ESR1 gene as the main hub of a subnetwork, associated with neurotrophin signaling (p = 4e⁻¹⁴) and myometrial relaxation and contraction (p = 3e⁻⁰⁸) pathways. ancMETA provides a new contribution to post-GWAS methodologies and holds promise for comprehensively examining interactions between genes underlying the pathogenesis of genetic diseases and also underlying ethnic differences.

Patterns of pharmacological maintenance treatment in a community mental health services bipolar disorder cohort study (SIN-DEPRES)

Maintenance therapy in bipolar disorder (BD) is usually required to prevent relapses and improve residual symptoms. Therefore, in this study, we describe patterns of pharmacological maintenance treatment and identify associated clinical features. This prospective multicentre epidemiological study recruited a cohort of 739 consecutive out-patients with clinically stable BD. Clinical stability was assessed at baseline with the Clinical Global Impression scale for BD and depressive symptoms with the Hamilton Depression Rating Scale. Psychotropic medications were classified and analysed according to their mechanism as well as use. Logistic regression models were used to examine the associations between pharmacological strategies and clinical features. Longer time since last episode [odds ratio (OR) 1.002, p < 0.0001] and family history of psychiatric disorders (OR 1.911, p = 0.028) were associated with lithium in monotherapy; manic polarity of the most recent episode (OR 3.300, p = 0.006) and longer duration of clinical stability (OR 1.009, p = 0.034) with antipsychotic in monotherapy; depressive polarity of the most recent episode (OR 2.567, p = 0.003) and bipolar II disorder diagnosis (OR 2.278, p = 0.008) with antidepressant combination; no ongoing psychiatric co-morbidity (OR 0.230, p = 0.004) with lithium and anticonvulsant; manic polarity of the most recent episode (OR 3.774, p < 0.0001) with lithium and antipsychotic; manic polarity of the most recent episode (OR 2.907, p = 0.028) with lithium, anticonvulsant and antipsychotic. The pharmacological patterns followed published recommendations, except for the excessive use of antidepressants. This study reveals clinical factors closely related to prescription patterns.

Age-grouped differences in bipolar mania

OBJECTIVE

This review of published studies compares scores on individual items of mania rating scales that systematically recorded symptom severity in persons diagnosed with bipolar disorder to identify age-grouped differences.

METHODS

An extensive literature search identified item scores from mania rating scales, with a particular emphasis on baseline Young Mania Rating Scale (YMRS) item scores in published double-blind, placebo-controlled studies of bipolar I manic disorder. These baseline YMRS item scores were assessed as a proportion of the total YMRS score and compared by age group. Additional YMRS item/total scores in subjects with bipolar spectrum disorders were added to expand the analysis.

RESULTS

Preadolescents with bipolar disorder had significantly higher YMRS item scores than adolescents on aggression, irritability, and motor activity. Young Mania Rating Scale baseline item scores relative to the YMRS total score revealed that adolescents diagnosed with bipolar I mania scored comparatively higher than did adults on YMRS aggression and irritability items, whereas adults with bipolar I manic disorder scored comparatively higher on the grandiosity and sexual interest items. Age-grouped findings from subjects diagnosed with bipolar I, II, and Not Otherwise Specified (NOS) disorders yielded similar age-grouped results.

CONCLUSION

In age-grouped YMRS item assessments of bipolar mania, anger dyscontrol was most prominent for youth, whereas disordered thought content was paramount for adults.

Gender differences in outcomes of acute mania: a 12-month follow-up study

This study aimed to assess short-term (12 weeks) and long-term (12 months) gender differences in the outcomes of patients experiencing an episode of mania in the course of bipolar disorder. European Mania in Bipolar Longitudinal Evaluation of Medication was a 2-year, prospective, observational study of the outcomes of patients with a manic or mixed episode conducted in 14 European countries. Data were collected during the acute phase (12 weeks) and during a follow-up period (up to 12 months). Analyses were carried out in the subgroup of patients identified with a pure manic episode at baseline. Kaplan-Meier survival analysis estimated time to first occurrence of mania improvement, worsening, recovery and depressive episode, and Cox's proportional hazards models were used to analyse factors associated with these outcomes. Overall, 2,485 patients (46.6% men, 53.4% women) were included in the analysis. Frequency of substance abuse was higher in men than women. No significant gender differences were found in the severity of manic symptoms at baseline. There were no gender differences in assessment of mania improvement, worsening or recovery over 12 weeks, but more women than men showed mania improvement over 12 months (95.4% vs. 89.2%; p < 0.01). Significantly more women developed a depressive episode over 12 weeks (14.9% vs. 9.7%; p < 0.01) and over 12 months (27.7% vs. 21.5%; p < 0.001). In conclusion, the results show that there are small gender differences in the course of patients experiencing a pure manic episode. Women had a faster time to mania improvement and a higher risk of developing a depressive episode during the 12-month follow-up period.

Description of study population and analysis of factors influencing adherence in the observational Italian study "Evaluation of Pharmacotherapy Adherence in Bipolar Disorder" (EPHAR)

BACKGROUND

In patients with bipolar disorder, medication is effective in preventing relapses. Unfortunately, adherence to treatment in bipolar disorder, as in other chronic or recurrent conditions, is not optimal. Estimates of nonadherence to prescribed treatment range from 30% to 60% in epidemiological studies, and are at around 30% in clinical trials. Adherence to treatment is a potent predictor of effectiveness, both in clinical trials and cohort studies, therefore is a very relevant area of investigation. This study will try to show a picture of the real life care where adherence is influenced by a wide range of variables.

METHODS

Prospective, observational, multicenter study in 650 adult patients with bipolar disorder, who had to initiate or change their treatment regimen, observed for 1 year. Adherence was measured by the Simplified Medication Adherence Questionnaire (SMAQ). Additional variables: Symptom severity, Montgomery-Åsberg Depression Rating Scale (MADRS), Young Mania Rating Scale (YMRS), Clinical Global Impression-Bipolar Disorder (CGI-BD), the Drug Attitude Inventory score (DAI-30), and quality of life (EuroQoL 5 Dimensions). The variables were recorded every 3 months for the next year.

RESULTS

Most subjects were out-patients (77.1%), female (58.8%), aged 31-50 years (50.1%) and overweight (41.8%) or obese (28.7%); 67.4% had type I bipolar disorder and 66.8% had depressive or mixed symptoms. Adherence was 39.9% at baseline (and increased up to 67.0% at completion. The main predictors of nonadherence were alcohol consumption, severe bipolar symptoms, young age at time of first treatment, negative attitude towards treatment.

CONCLUSIONS

The patient population of this observational trial was representative of the patients changing their therapy for bipolar disorder seen in clinical practice in Italy. Lack of adherence to pharmacotherapy for bipolar disorder is a serious issue, which is more likely to arise in alcohol users and patients with severe symptoms, negative attitude towards medication and/or initiation of treatment early in life. The findings could lead to a more adequate approach of adherence in patients with bipolar disorders.

Increased risk for suicidal behavior in comorbid bipolar disorder and alcohol use disorders: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)

OBJECTIVE

Bipolar disorder is associated with a high rate of suicide attempt, and alcohol use disorders have also been associated with elevated risk for suicidal behavior. Whether risk for suicidal behavior is elevated when these conditions are comorbid has not been addressed in epidemiologic studies.

METHOD

1,643 individuals with a DSM-IV lifetime diagnosis of bipolar disorder were identified from 43,093 general-population respondents who were interviewed in the 2001-2002 National Epidemiologic Survey on Alcohol and Related Conditions. Assessments were made using the National Institute on Alcohol Abuse and Alcoholism Alcohol Use Disorder and Associated Disabilities Interview Schedule-DSM-IV Version (AUDADIS-IV). Lifetime prevalence of reported history of suicide attempt and suicidal thoughts among bipolar disorder respondents with and without DSM-IV lifetime alcohol use disorders (abuse or dependence) was assessed using chi-squared and adjusted odds ratios with confidence intervals. Logistic regression was used to test the relevance of other comorbid clinical conditions to suicide risk in bipolar respondents with and without comorbid alcohol use disorders.

RESULTS

More than half of the respondents (54%) who met criteria for bipolar disorder also reported alcohol use disorder. Bipolar individuals with comorbid alcohol use disorder were at greater risk for suicide attempt than those individuals without alcohol use disorder (adjusted odds ratio=2.25; 95% CI, 1.61-3.14) and were more likely to have comorbid nicotine dependence and drug use disorders. Nicotine dependence and drug use disorders did not increase risk for suicidal behavior among those with bipolar disorder, nor did they confer additional risk among bipolar respondents who also reported alcohol use disorder. Despite greater psychopathological burden, individuals with comorbid bipolar disorder and alcohol use disorder did not receive more treatment or more intensive treatment.

CONCLUSIONS

Suicidal behavior is more likely to occur in bipolar respondents who also suffer from alcohol use disorder. Interventions to reduce suicide risk in bipolar disorder need to address the common and high-risk comorbidity with alcohol use disorders.

The association between carbamazepine and valproate and adverse cutaneous drug reactions in patients with bipolar disorder: a nested matched case-control study

OBJECTIVE

This study investigated the association between 2 mood stabilizers (carbamazepine and valproate) and other medications (including other anticonvulsants) and the risks of erythema multiforme (EM), Stevens-Johnson syndrome (SJS), and toxic epidermal necrolysis (TEN) among patients with bipolar disorder.

METHODS

Using the data of patients with bipolar disorder between March 1997 and December 2004 from the Psychiatric Inpatient Medical Claims databank, we identified 72 patients with bipolar disorder who had an inpatient or outpatient diagnosis of EM, SJS, or TEN by the International Classification of Diseases, Ninth Revision, Classical Modification code 695.1 and 288 controls with the absence of EM, SJS, or TEN diagnosis who were matched for sex, age, and index day. The use of carbamazepine, valproate, and other medications during the 60 days before the index date of diagnosis of EM, SJS, or TEN were compared.

RESULTS

Results showed that carbamazepine (odds ratio, 3.7; 95% confidence interval, 2.0-6.8) and valproate use (odds ratio, 2.2; 95% confidence interval, 1.2-4.2) significantly predicted EM, SJS, or TEN. Other significant predictors for EM, SJS, or TEN included other anticonvulsants (phenytoin, phenobarbital, and lamotrigine), cephalosporin, some nonsteroid anti-inflammatory drugs (acetic acid derivatives and fenamates [mefenamic acid]), salicylates, and acetaminophen. The most predictive exposures were carbamazepine, valproate, other anticonvulsants, and acetaminophen. We also found that the combination of carbamazepine and acetaminophen further increased the risk for the occurrence of EM, SJS, or TEN. There was no interaction effect from age and sex.

CONCLUSIONS

Our study suggests that carbamazepine and valproate as well increase the risk for EM, SJS, or TEN. We should be especially cautious about the combined use of carbamazepine and acetaminophen.