Further evidence for a developmental subtype of bipolar disorder defined by age at onset: results from the national epidemiologic survey on alcohol and related conditions

Systematic Review and Network Meta-Analysis: Efficacy and Safety of Antipsychotics vs Antiepileptics or Lithium for Acute Mania in Children and Adolescents

OBJECTIVE

To compare second-generation antipsychotics (SGAs) and mood stabilizers (MSs) in youth with a bipolar disorder type I (BD-I) manic/mixed episode.

METHOD

A systematic PubMed/Embase/PsycInfo literature search until December 31, 2023, for randomized trials of SGAs or MSs in patients ≤18 years of age with BD-I manic/mixed episode was conducted. The study included a network meta-analysis comparing treatments regarding mania symptoms and mania response (co-primary outcomes), and secondary efficacy and tolerability outcomes.

RESULTS

Eighteen studies (n = 2844, mean age = 11.74, female participants = 48.0%, mean study duration = 5.4 weeks) comparing 6 SGAs (aripiprazole, asenapine, olanzapine, quetiapine, risperidone, and ziprasidone) and 4 MSs (lithium, oxcarbazepine, topiramate, and valproate) were meta-analyzed. All 6 SGAs outperformed placebo in reducing manic symptomatology, including risperidone (standardized mean difference [SMD] = -1.18, 95% CI = -0.92, -1.45, Confidence in Network Meta-Analysis [CINeMA] = moderate confidence), olanzapine (SMD = -0.77, 95% CI = -0.36, -1.18, low confidence), aripiprazole (SMD = -0.67, 95% CI = -0.33, -1.01, moderate confidence), quetiapine (SMD = -0.60, 95% CI = -0.32, -0.87, high confidence), asenapine (SMD = -0.54, 95% CI = -0.19, -0.89, moderate confidence), and ziprasidone (SMD = -0.43, 95% CI = -0.17, 0.70, low confidence), whereas no mood stabilizer outperformed placebo. Concerning mania response, risperidone (Risk ratio [RR] = 2.58, 95% CI = 1.88, 3.54, low confidence), olanzapine (RR = 2.42, 95% CI = 1.33, 3.54, very low confidence), aripiprazole (RR = 2.05, 95% CI = 1.44, 2.92, low confidence), quetiapine (RR = 1.89, 95% CI = 1.45n 2.47, moderate confidence), asenapine (RR = 1.81, 95% CI = 1.28, 2.55, very low confidence) and lithium (RR = 1.35, 95% CI = 1.00, 1.83, p = .049, very low confidence) outperformed placebo, without superiority of other MSs vs placebo. Individually, risperidone was more efficacious in reducing manic symptomatology than all other comparators, except olanzapine and topiramate, yet with low/very low confidence, and was associated with increased prolactin and glucose. Pooled together, SGAs outperformed both placebo and MSs for mania symptom reduction (SMD = -0.68, 95% CI = -0.86, -0.51 and SMD = -0.61, 95% CI = -0.82, -0.40, moderate confidence), and mania response (RR = 1.85, 95% CI = 1.53, 2.24 and RR = 1.65, 95% CI = 1.33, 2.04, moderate confidence) without differences between MSs and placebo. There were no significant treatment-placebo differences for all-cause discontinuation, whereas lithium, ziprasidone, and oxcarbazepine were associated with more adverse event-related drop-outs than placebo. Most SGAs were associated with more sedation, weight gain, and metabolic issues vs placebo and MSs.

CONCLUSION

SGAs were more efficacious than placebo and MSs in treating acute mania symptoms, however, their use must be carefully weighed against important side effects.

Sex differences in cerebral blood flow among adolescents with bipolar disorder

BACKGROUND

Abnormalities in cerebral blood flow (CBF) are common in bipolar disorder (BD). Despite known differences in CBF between healthy adolescent males and females, sex differences in CBF among adolescents with BD have never been studied.

OBJECTIVE

To examine sex differences in CBF among adolescents with BD versus healthy controls (HC).

METHODS

CBF images were acquired using arterial spin labeling (ASL) perfusion magnetic resonance imaging (MRI) in 123 adolescents (72 BD: 30M, 42F; 51 HC: 22M, 29F) matched for age (13-20 years). Whole brain voxel-wise analysis was performed in a general linear model with sex and diagnosis as fixed factors, sex-diagnosis interaction effect, and age as a covariate. We tested for main effects of sex, diagnosis, and their interaction. Results were thresholded at cluster forming p = 0.0125, with posthoc Bonferroni correction (p = 0.05/4 groups).

RESULTS

A main effect of diagnosis (BD > HC) was observed in the superior longitudinal fasciculus (SLF), underlying the left precentral gyrus (F =10.24 (3), p < 0.0001). A main effect of sex (F > M) on CBF was detected in the precuneus/posterior cingulate cortex (PCC), left frontal and occipital poles, left thalamus, left SLF, and right inferior longitudinal fasciculus (ILF). No regions demonstrated a significant sex-by-diagnosis interaction. Exploratory pairwise testing in regions with a main effect of sex revealed greater CBF in females with BD versus HC in the precuneus/PCC (F = 7.1 (3), p < 0.01).

CONCLUSION

Greater CBF in female adolescents with BD versus HC in the precuneus/PCC may reflect the role of this region in the neurobiological sex differences of adolescent-onset BD. Larger studies targeting underlying mechanisms, such as mitochondrial dysfunction or oxidative stress, are warranted.

Clinical assessment of impulsiveness and defence mechanisms in young patients with mood disorders in a two-year prospective study

AIM

There have been limited prospective investigations of early clinical markers involved in mood regulation and diagnosis change in young patients. This study aimed to evaluate the changes in impulsivity and defence mechanisms in patients with major depressive disorder (MDD) and bipolar disorder (BD) with acute symptoms and remission compared to healthy controls (HC), and possible psychological predictors of diagnosis conversion.

METHODS

Seventy-nine young MDD or BD patients and 40 HC were enrolled in a two-year prospective study. A comprehensive clinical interview focused on clinical and psychological evaluation during follow-up visits. The severity of depressive symptoms was evaluated using the Hamilton Depression Rating Scale (HDRS-17), whilst the Young Mania Rating Scale (YMRS) was used for hypo/manic symptoms during each control visit. All patients completed the Defence Style Questionnaire (DSQ-40) and Barratt Impulsiveness Scale (BIS-11).

RESULTS

Patients used more immature defences, and had significantly higher total impulsivity scores than controls. BD patients had elevated motor and non-planning impulsivity compared with HC and MDD subjects. Total and non-planning impulsiveness remained elevated in euthymia in BD and MDD compared to HC. There were no statistically significant differences in total defence styles and impulsiveness scores at baseline vs. euthymia in MDD or BD patients groups. Significantly higher dissociation scores at baseline discriminated depressive patients who convert to BD in their diagnosis.

CONCLUSIONS

Patients with acute mood symptoms used more frequent immature defences and had significantly higher total impulsivity scores than healthy persons. A lack of differences in total defence styles and impulsiveness between patients with acute symptoms and after reaching euthymia in both MDD and BD groups indicates that they are independent of disease status. Dissociation defence mechanisms may be an early diagnostic indicator of BD.

Comorbidities in Youth with Bipolar Disorder: Clinical Features and Pharmacological Management

BACKGROUND

Bipolar Disorder (BD) is a highly comorbid condition, and rates of cooccurring disorders are even higher in youth. Comorbid disorders strongly affect clinical presentation, natural course, prognosis, and treatment.

METHODS

This review focuses on the clinical and treatment implications of the comorbidity between BD and Attention-Deficit/Hyperactivity Disorder, disruptive behavior disorders (Oppositional Defiant Disorder and/or Conduct Disorder), alcohol and substance use disorders, Autism Spectrum Disorder, anxiety disorders, Obsessive-Compulsive Disorder, and eating disorders.

RESULTS

These associations define specific conditions which are not simply a sum of different clinical pictures, but occur as distinct and complex combinations with specific developmental pathways over time and selective therapeutic requirements. Pharmacological treatments can improve these clinical pictures by addressing the comorbid conditions, though the same treatments may also worsen BD by inducing manic or depressive switches.

CONCLUSION

The timely identification of BD comorbidities may have relevant clinical implications in terms of symptomatology, course, treatment and outcome. Specific studies addressing the pharmacological management of BD and comorbidities are still scarce, and information is particularly lacking in children and adolescents; for this reason, the present review also included studies conducted on adult samples. Developmentally-sensitive controlled clinical trials are thus warranted to improve the prognosis of these highly complex patients, requiring timely and finely personalized therapies.

Factors associated with onset-age in major affective disorders

BACKGROUND

Research findings on factors associated with onset-age (OA) with bipolar (BD) and major depressive disorders (MDD) have been inconsistent, but often indicate greater morbidity following early OA.

METHODS

We considered factors associated with OA in 1033 carefully evaluated, systematically followed mood disorder subjects with DSM-5 BD (n = 505) or MDD (n = 528), comparing rates of descriptive and clinical characteristics following early (age <18), intermediate (18-40), or later onset (≥40 years), as well as regressing selected measures versus OA. Exposure time (years ill) was matched among these subgroups.

RESULTS

As hypothesized, many features were associated with early OA: familial psychiatric illness, including BD, greater maternal age, early sexual abuse, nondepressive first episodes, co-occurring ADHD, suicide attempts and violent suicidal behavior, abuse of alcohol or drugs, smoking, and unemployment. Other features increased consistently with later OA: %-time-depressed (in BD and MDD, women and men), as well as depressions/year and intake ratings of depression, educational levels, co-occurring medical disorders, rates of marriage and number of children.

CONCLUSIONS

OA averaged 7.5 years earlier in BD versus MDD (30.7 vs. 38.2). Some OA-associated measures may reflect maturation. Associations with family history and suicidal risk with earlier OA were expected; increases of time-depressed in both BD and MDD with later OA were not. We conclude that associations of OA with later morbidity are complex and not unidirectional but may be clinically useful.

Prevalence and 5-year trend of incidence for medical illnesses after the diagnosis of bipolar disorder: A nationwide cohort study

OBJECTIVE

Medical comorbidities are prevalent in patients with bipolar disorder. Evaluating longitudinal trends of the incidence of medical illnesses enables implementation of early prevention strategies to reduce the high mortality rate in this at-risk population. However, the incidence risks of medical illnesses in the early stages of bipolar disorder remain unclear. This study investigated the incidence and 5-year trend of medical illnesses following bipolar disorder diagnosis.

METHODS

We identified 11,884 patients aged 13-40 years who were newly diagnosed as having bipolar disorder during 1996-2012 and 47,536 age- and sex-matched controls (1:4 ratio) who represented the general population from Taiwan's National Health Insurance Research Database. We estimated the prevalence and incidence of individual medical illnesses yearly across the first 5 years after the index date. The adjusted incidence rate ratio was calculated to compare the occurrence of specific medical illnesses each year between the bipolar disorder group and control group using the Poisson regression model.

RESULTS

Apart from the prevalence, the adjusted incidence rate ratios of most medical illnesses were >1.00 across the first 5-year period after bipolar disorder diagnosis. Cerebrovascular diseases, ischaemic heart disease, congestive heart failure, other forms of heart disease, renal disease and human immunodeficiency virus infection exhibited the highest adjusted incidence rate ratios during the first year. Except for that of renal disease, the 5-year trends of the adjusted incidence rate ratios decreased for cerebrovascular diseases, cardiovascular diseases (e.g. ischaemic heart disease, other forms of heart disease, and vein and lymphatic disease), gastrointestinal diseases (e.g. chronic hepatic disease and ulcer disease) and communicable diseases (e.g. human immunodeficiency virus infection, upper respiratory tract infection and pneumonia).

CONCLUSION

Incidence risks of medical illnesses are increased in the first year after bipolar disorder diagnosis. Clinicians must carefully evaluate medical illnesses during this period because the mortality rates from medical illnesses are particularly high in people with bipolar disorder.

Prevalence and correlates of childhood-onset bipolar disorder among adolescents

AIM

Early-onset bipolar disorder (BD) is associated with a more severe illness as well as a number of clinical factors among adults. Early-onset can be categorized as childhood- (age < 13) or adolescent- (age ≥ 13) onset, with the two displaying different clinical profiles. We set out to examine differences in clinical, and familial characteristics among adolescents with childhood- versus adolescent-onset BD.

METHODS

The study included 195 adolescents with BD, ages 14-18 years. Age of onset was determined retrospectively by self-report. Participants completed the semi-structured K-SADS-PL diagnostic interviews along with self-reported dimensional scales. Analyses examined between-group differences for clinical and familial variables. Variables associated with age of onset at p < 0.1 in univariate analyses were evaluated in a logistic regression model.

RESULTS

Approximately one-fifth of participants had childhood-onset BD (n = 35; 17.9%). A number of clinical and familial factors were significantly associated with childhood-onset BD. However, there were no significant differences in depressive and manic symptom severity. In multivariate analyses, the variables most strongly associated with childhood-onset were police contact, and family history of suicidal ideation. Smoking and psychiatric hospitalization were associated with adolescent-onset.

CONCLUSIONS

In this large clinical sample of adolescents with BD, one-fifth reported childhood-onset BD. Correlates of childhood-onset generally aligned with those observed in the literature. Future research is warranted to better understand the genetic and environmental implications of high familial loading of psychopathology associated with childhood-onset, and to integrate age-related treatment and prevention strategies.

Clinical and neurostructural characteristics among youth with familial and non-familial bipolar disorder: Family history and youth bipolar disorder

BACKGROUND

Bipolar disorder (BD) is highly heritable and often severe, particularly when illness onset occurs early in life. There is limited knowledge regarding the clinical and neurostructural correlates of family history of BD among youth with BD.

METHODS

Clinical characteristics were evaluated in 197 youth with BD, ages 13-20 years, including 87 with familial BD and 110 with non-familial BD. Structural neuroimaging was examined in a subsample of familial BD (n=39), non-familial BD (n=42), and healthy control (HC, n=58) youth. Region of interest (ROI) analyses of anterior cingulate cortex (ACC), inferior frontal gyrus (IFG), and amygdala were complemented by whole-brain vertex-wise analyses.

RESULTS

Youth with familial BD had more family history of other psychiatric disorders, less severe worst manic episode, and less treatment with lithium, selective serotonin reuptake inhibitor (SSRI) antidepressants, and any lifetime psychiatric medications. None of these findings survived after correction for multiple comparisons. There were no significant between-group differences in ROI analyses. In whole-brain analyses, significant differences in cortical thickness were as follows: familial and non-familial BD < HC in left precentral gyrus and right inferior parietal lobe; familial BD < HC in left superior frontal gyrus; non-familial BD < HC in right precentral gyrus.

LIMITATIONS

Relatives did not complete full diagnostic interviews.

CONCLUSIONS

There were relatively few differences in clinical and neurostructural correlates related to family history of BD in youth with BD. Current findings suggest that family history of BD is not a strong contributor to the clinical or neuroimaging phenotypes in youth with BD.

High Risk and Trajectories of Physical Illnesses before the Diagnosis of Bipolar Disorder

OBJECTIVE

The authors investigated the distributions and trajectories of physical illnesses preceding the diagnosis of bipolar disorder with comparison to schizophrenia and general populations.

METHODS

Using data from the Taiwan National Health Insurance Research Database entered from 1996 to end of 2012, we identified 13,079 patients newly diagnosed as having bipolar disorder between the age of 13 and 40 years (ie, cases). For each case with bipolar disorder, two age- and sex- and diagnosis year- schizophrenia comparisons (n=26,158)(n=26,158) and four age- and sex-matched comparisons representing the general population (n=52,316)(n=52,316) were randomly selected from the cohort. Multivariate conditional logistic regression analyses were conducted to estimate the risk of physical illness before the diagnosis (index date). Variables exhibiting a powerful association (p<0·001) were retained in the final model.

RESULTS

During the year before diagnosis, patients with newly diagnosed bipolar disorder had a higher risk of numerous physical illnesses across the cardiovascular, respiratory, gastrointestinal, endocrine/metabolic, and musculoskeletal/integument systems compared with those with schizophrenia and the general population. Trends in the risk of specific physical illnesses, mainly hypertension, heart disease, asthma, ulcer disease, hyperlipidemia, and connective tissue disease, were increased across the 3-year prodromal phase of bipolar disorder relative to schizophrenia.

CONCLUSIONS

Intriguingly, physical illnesses before the diagnosis of bipolar disorder are pervasive with higher risk. Moreover, the trajectories of physical illnesses markedly differ from those of schizophrenia before full manifestation.

Neurostructural phenotypes of CACNA1C rs1006737 in adolescents with bipolar disorder and healthy controls

OBJECTIVE

Investigate the effects of CACNA1C rs1006737 on cortical and subcortical neurostructural phenotypes in Caucasian bipolar disorder (BD) and healthy control (HC) adolescents.

METHODS

Seventy-one adolescents (14-20 years; 38BD, 33HC) underwent 3-Tesla Magnetic Resonance Imaging (MRI). Region of interest (ROI) and vertex-wise analyses examined cortical volume, surface area (SA), and thickness, as well as subcortical volume. ROIs included the ventromedial prefrontal cortex (vmPFC), ventrolateral prefrontal cortex (vlPFC), anterior cingulate cortex (ACC), putamen, and amygdala. General linear models included main effects of diagnosis and rs1006737, and an interaction term, controlling for age, sex, and total intracranial volume.

RESULTS

Vertex-wise analysis found significant BD-by-rs1006737 interactions for prefrontal and occipital regions such that BD A-carriers were found to have greater SA relative to BD non-carriers, while HC A-carriers had reduced SA relative to HC non-carriers. ROI analysis found an interaction in the ACC such that BD A-carriers were found to have greater SA relative to BD non-carriers, while no significant difference was found in HCs. Main effects of rs1006737 were also found on ACC SA from ROI analysis, and occipital SA from vertex-wise analysis, such that A-carriers had larger SA relative to non-carriers in both of these regions.

CONCLUSIONS

The current study identified neurostructural intermediate phenotypes relevant to the impact of CACNA1C rs1006737 on adolescent BD. Further investigation is warranted into the neurofunctional and neurocognitive relevance of rs1006737 associations with BD-specific elevations in regional SA.

Double jeopardy in the United States: Early onset bipolar disorder and treatment delay

BACKGROUND

Evidence is emerging that early onset bipolar disorder and the duration of the delay to first treatment are both risk factors for poor treatment outcome. We report on the incidence and implications of these two risk factors in patients from the United States (US) versus Europe.

METHODS

Age of onset and age at first treatment for depression or mania was assessed in 967 outpatients with bipolar disorder who gave informed consent for participation and filling out a detailed questionnaire. Age at onset and treatment delay were compared in the 675 patients from the US and 292 from the Netherlands and Germany (abbreviated as Europe). Both were then graphed and analyzed.

RESULTS

Age of onset of bipolar disorder was earlier in the US than in Europeans by an average of 6-7 years with similar results in those with first onsets of depression or of mania. Delay to first treatment was strongly inversely related to age of onset and was twice as long in the US than in Europe, and especially different for mania in adolescents. The longer delay to treatment in the US was not solely due to earlier age of onset.

CONCLUSIONS

Treatment delay is a remedial risk factor and could be shortened with better recognition of the higher incidence of early onset bipolar disorder in the US, which also associated with more genetic and environmental vulnerability factors compared to Europe. New treatment and research initiatives are needed to address these liabilities so that children with bipolar achieve more positive long-term outcomes.

Differences in outcomes between older community-dwelling patients with bipolar disorder and schizophrenia with illness onset at young age

AIM

Older community-dwelling patients with severe mental illness (SMI), particularly those with illness onset at young age, constitute a group of survivors with unique long-term care needs. Using an Asian sample in Taiwan, we attempted to find out the differences in outcomes related to physical health, cognition, and social functioning between older community-dwelling adults with bipolar disorder and schizophrenia with early age onset.

METHODS

Community-dwelling patients aged >50 years with bipolar I disorder or schizophrenia whose illness developed before the age of 40 years were recruited. Clinical data were obtained by reviewing all available medical records and by interviewing the patients and their reliable family members. Medical morbidities, Mini-Mental State Examination (MMSE), Cumulative Illness Rating Scale for Geriatrics (CIRS-G), and Global Assessment of Functioning (GAF) scores were compared between the two groups.

RESULTS

In total, 113 bipolar patients and 104 schizophrenic ones (mean ages = 59.8 and 59.2 years, respectively) became the final subjects. The rates of cognitive impairment (MMSE score <24) were comparable in bipolar disorder (26.5%) and schizophrenia (24.0%) and the mean MMSE scores did not significantly differ from each other. The concurrence (54.9%) of cardiovascular disease (CVD) in the bipolar group was also similar to 51.0% in the schizophrenic one. In a multiple logistic regression analysis, the bipolar group exhibited significantly higher CIRS-G total scores (95% confidence interval (CI) for odds ratio (OR) = 1.01-1.27), body mass index (95% CI for OR = 1.02-1.21), and GAF scores (95% CI for OR = 1.04-1.14).

CONCLUSION

Given better social functioning and the same cognitive function in older community-dwelling patients with bipolar disorder, they may remain at higher risk for obesity and medical morbidity than schizophrenic patients. Treatments targeting cognitive impairment and CVDs across their life span are both necessary to promote the health of community-dwellers with SMI.

Classifying Mood Symptom Trajectories in Adolescents With Bipolar Disorder

OBJECTIVE

The Course and Outcome of Bipolar Youth study found that children and adolescents with bipolar spectrum disorders followed 1 of 4 distinct mood trajectories over 8 years of follow-up, with as many as 25% of participants showing a predominantly euthymic course. We evaluated whether similar patterns of illness course are observed in adolescents with bipolar I and II disorder who participated in a 2-year clinical trial.

METHOD

A total of 144 adolescents with bipolar I or II disorder, identified shortly after a mood episode, were assessed over a 2-year period. Participants were randomly assigned to one of 2 psychosocial family treatments during the first 9 months of the study, and pharmacotherapy was provided throughout the 2 years. Using latent class growth analyses, we classified participants into distinct courses of illness based on mood ratings collected over the 2 years. We examined demographic and illness variables as predictors of these course classifications.

RESULTS

Latent class growth analyses indicated four mood trajectories: "predominantly euthymic" (29.9% of sample), "ill with significantly improving course" (11.1%), "moderately euthymic" (26.4%), and "ill with moderately improving course" (32.6%). Adolescents in these classes were euthymic 77.7%, 53.6%, 44.1%, and 18.6% of the weeks of follow-up, respectively. Psychosocial treatment condition and baseline medication exposure were not associated with trajectories. However, youth with more severe baseline depressive symptoms, suicidality, lower quality of life scores, and minority race/ethnicity had more symptomatic courses of illness over time.

CONCLUSION

A substantial proportion (25%-30%) of youth with bipolar I or II disorder maintain euthymic states over extended periods of follow-up. Identifying youth who are more and less likely to remain stable over time may help guide psychosocial and pharmacological treatments after an illness episode.

CLINICAL TRIAL REGISTRATION INFORMATION

Effectiveness of Family-Focused Treatment Plus Pharmacotherapy for Bipolar Disorder in Adolescents; https://clinicaltrials.gov/; NCT00332098.

Comparisons of the clinical outcomes between early- and adult-onset bipolar disorders: A prospective cohort analysis

BACKGROUND

This study aimed to explore the impact of age-at-onset on clinical outcomes in bipolar-spectrum disorders, including the development of alcohol or substance use disorder, suicidality, and psychiatric hospitalization.

METHODS

This population-based study enrolled newly-diagnosed bipolar-spectrum patients, including 4,367 patients with early-onset bipolar disorder (EOBD), 64,787 patients with adult-onset bipolar disorder (AOBD), and the same number of age-controlled comparison subjects without bipolar disorder, from Taiwan's National Health Insurance Research Database. Time-dependent covariate Cox regression models were used to estimate the effect of age-at-onset on clinical outcomes with adjustment for pre-existing psychiatric comorbid conditions and pharmacological treatment patterns. Sensitivity analyses using different definitions of study sample and age cutoffs were conducted.

RESULTS

The average follow-up duration was 5.7 years. After adjustment with time-dependent covariates and chronological age, there were no significant differences in the risks for developing new-onset alcohol or substance use disorders and psychiatric hospitalization between EOBD and AOBD patients. Although EOBD patients had a higher risk of hospitalization for suicide and self-harm than did AOBD patients in primary analysis, this finding did not replicated in the sensitivity analyses.

LIMITATIONS

The symptom profile and severity of bipolar disorder was not available in the NHIRD; therefore, surrogate indicators of clinical outcome might not be sensitive enough to detect the subtle differences.

CONCLUSIONS

EOBD and AOBD patients had similar risks for developing alcohol or substance use disorders. Their risk of psychiatric hospitalization was similar. Whether EOBD patients might have a higher risk of hospitalization for suicide and self-harm warrants further investigations.

Debate: Fomenting controversy regarding pediatric bipolar disorder

Does bipolar disorder exist in children? How common is childhood-onset bipolar disorder among adults? Are bipolar spectrum conditions relevant? Answers to these questions are key drivers of the design and interpretation of epidemiologic studies of pediatric bipolar disorder. In our commentary, we assert that Parry and colleagues have selectively attended to certain findings that support their thesis, while ignoring contradictory findings, and that they have assigned excessive meaning to relatively pedestrian methodologic limitations. Their singling out of the United States is done with criticism but without critical appraisal. We highlight the flawed logic and inferential leaps that sustain Parry et al's criticism despite contradictory information dating back over a century.

Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder

The Canadian Network for Mood and Anxiety Treatments (CANMAT) previously published treatment guidelines for bipolar disorder in 2005, along with international commentaries and subsequent updates in 2007, 2009, and 2013. The last two updates were published in collaboration with the International Society for Bipolar Disorders (ISBD). These 2018 CANMAT and ISBD Bipolar Treatment Guidelines represent the significant advances in the field since the last full edition was published in 2005, including updates to diagnosis and management as well as new research into pharmacological and psychological treatments. These advances have been translated into clear and easy to use recommendations for first, second, and third- line treatments, with consideration given to levels of evidence for efficacy, clinical support based on experience, and consensus ratings of safety, tolerability, and treatment-emergent switch risk. New to these guidelines, hierarchical rankings were created for first and second- line treatments recommended for acute mania, acute depression, and maintenance treatment in bipolar I disorder. Created by considering the impact of each treatment across all phases of illness, this hierarchy will further assist clinicians in making evidence-based treatment decisions. Lithium, quetiapine, divalproex, asenapine, aripiprazole, paliperidone, risperidone, and cariprazine alone or in combination are recommended as first-line treatments for acute mania. First-line options for bipolar I depression include quetiapine, lurasidone plus lithium or divalproex, lithium, lamotrigine, lurasidone, or adjunctive lamotrigine. While medications that have been shown to be effective for the acute phase should generally be continued for the maintenance phase in bipolar I disorder, there are some exceptions (such as with antidepressants); and available data suggest that lithium, quetiapine, divalproex, lamotrigine, asenapine, and aripiprazole monotherapy or combination treatments should be considered first-line for those initiating or switching treatment during the maintenance phase. In addition to addressing issues in bipolar I disorder, these guidelines also provide an overview of, and recommendations for, clinical management of bipolar II disorder, as well as advice on specific populations, such as women at various stages of the reproductive cycle, children and adolescents, and older adults. There are also discussions on the impact of specific psychiatric and medical comorbidities such as substance use, anxiety, and metabolic disorders. Finally, an overview of issues related to safety and monitoring is provided. The CANMAT and ISBD groups hope that these guidelines become a valuable tool for practitioners across the globe.

Retinal photography: A window into the cardiovascular-brain link in adolescent bipolar disorder

OBJECTIVE

The burden of cardiovascular disease in bipolar disorder (BD) exceeds what can be explained by traditional cardiovascular risk factors (CVRFs), lifestyle, and/or medications. Moreover, neurocognitive deficits are a core feature of BD, and are also related to CVRFs. We examined retinal vascular photography, a proxy for cerebral microvasculature, in relation to CVRFs, peripheral microvascular function, and neurocognition among BD adolescents.

METHODS

Subjects were 30 adolescents with BD and 32 healthy controls (HC). Retinal photography was conducted using a Topcon TRC 50 DX, Type IA camera, following pupil dilation. Retinal arteriolar and venular caliber was measured, from which the arterio-venular ratio (AVR) was computed. All measures were conducted masked to participant diagnosis. Peripheral arterial tonometry measured endothelial function. Neurocognition was assessed using the Cambridge Neuropsychological Tests Automated Battery.

RESULTS

AVR was not significantly different between groups (Cohen's d=0.18, p=0.103). Higher diastolic blood pressure (BP) was associated with lower (worse) AVR in BD (r=-0.441, p=0.015) but not HC (r=-0.192, p=0.293). Similarly, in the BD group only, higher (better) endothelial function was associated with higher AVR (r=0.375, p=0.041). Hierarchical regression models confirmed that, independent of covariates, retinal vascular caliber was significantly associated with diastolic BP and endothelial function in BD. Within the BD group, mood scores were significantly negatively correlated with AVR (β=-0.451, p=0.044).

LIMITATIONS

This study's limitations include a small sample size, a cross-sectional study design, and a heterogeneous sample.

CONCLUSION

Retinal photography may offer unique insights regarding the cardiovascular and neurocognitive burden of BD. Larger longitudinal studies are warranted.

Cognitive Impairment in Euthymic Pediatric Bipolar Disorder: A Systematic Review and Meta-Analysis

OBJECTIVE

To perform a systematic review and meta-analysis of studies investigating neurocognition in euthymic youths with bipolar disorder (BD) compared to healthy controls (HCs).

METHOD

A systematic literature search was conducted in the PubMed/MEDLINE, PsycINFO, and EMBASE databases from inception up until March 23, 2016, for original peer-reviewed articles that investigated neurocognition in euthymic youths with BD compared to HCs. Effect sizes (ES) for individual tests were extracted. In addition, results were grouped according to cognitive domain. This review complied with the PRISMA statement guidelines.

RESULTS

A total of 24 studies met inclusion criteria (N = 1,146; 510 with BD). Overall, euthymic youths with BD were significantly impaired in verbal learning, verbal memory, working memory, visual learning, and visual memory, with moderate to large ESs (Hedge's g 0.76-0.99); significant impairments were not observed for attention/vigilance, reasoning and problem solving, and/or processing speed. Heterogeneity was moderate to large (I² ≥ 50%) for most ES estimates. Differences in the definition of euthymia across studies explained the heterogeneity in the ES estimate for verbal learning and memory. We also found evidence for other potential sources of heterogeneity in several ES estimates including co-occurring attention-deficit/hyperactivity disorder (ADHD) and anxiety disorders, and the use of medications. In addition, the use of different neuropsychological tests appeared to contribute to heterogeneity of some estimates (e.g., attention/vigilance domain).

CONCLUSION

Euthymic youths with BD exhibit significant cognitive dysfunction encompassing verbal learning and memory, working memory, and/or visual learning and memory domains. These data indicate that for a subset of individuals with BD, neurodevelopmental factors may contribute to cognitive dysfunction.

Further Evidence for Smoking and Substance Use Disorders in Youth With Bipolar Disorder and Comorbid Conduct Disorder

OBJECTIVE

Bipolar disorder (BPD) is a highly morbid disorder increasingly recognized in adolescents. The aim of this study was to examine the relative risk for substance use disorders (SUDs; alcohol or drug abuse or dependence) and cigarette smoking in adolescents with BPD.

METHODS

We evaluated the relative risk for SUDs and cigarette smoking in a case-controlled, 5-year prospective follow-up of adolescents with (n = 105, mean ± SD baseline age = 13.6 ± 2.5 years) and without ("controls"; n = 98, baseline age = 13.7 ± 2.1 years) BPD. Seventy-three percent of subjects were retained at follow-up (BPD: n = 68; controls: n = 81; 73% reascertainment). Our main outcomes were assessed by blinded structured interviews for DSM-IV criteria.

RESULTS

Maturing adolescents with BPD, compared to controls, were more likely to endorse higher rates of SUD (49% vs 26%; hazard ratio [HR] = 2.0; 95% confidence interval (CI), 1.1-3.6; P = .02) and cigarette smoking (49% vs 17%; HR = 2.9; 95% CI, 1.4-6.1; P = .004), as well as earlier onset of SUD (14.9 ± 2.6 [SD] years vs 16.5 ± 1.6 [SD] years; t = 2.6; P = .01). Subjects with conduct disorder (CD) were more likely to have SUD and nicotine dependence than subjects with BPD alone or controls (all P values < .05). When we added conduct disorder to the model with socioeconomic status and parental SUD, all associations lost significance (all P values > .05). Subjects with the persistence of a BPD diagnosis were also more likely to endorse cigarette smoking and SUD in comparison to those who lost a BPD diagnosis or controls at follow-up.

CONCLUSIONS

The results provide further evidence that adolescents with BPD, particularly those with comorbid CD, are significantly more likely to endorse cigarette smoking and SUDs when compared to their non-mood disordered peers. These findings indicate that youth with BPD should be carefully monitored for comorbid CD and the development of cigarette smoking and SUDs.

Can Psychological, Social and Demographical Factors Predict Clinical Characteristics Symptomatology of Bipolar Affective Disorder and Schizophrenia?

Schizophrenia (SCH) is a complex, psychiatric disorder affecting 1 % of population. Its clinical phenotype is heterogeneous with delusions, hallucinations, depression, disorganized behaviour and negative symptoms. Bipolar affective disorder (BD) refers to periodic changes in mood and activity from depression to mania. It affects 0.5-1.5 % of population. Two types of disorder (type I and type II) are distinguished by severity of mania episodes. In our analysis, we aimed to check if clinical and demographical characteristics of the sample are predictors of symptom dimensions occurrence in BD and SCH cases. We included total sample of 443 bipolar and 439 schizophrenia patients. Diagnosis was based on DSM-IV criteria using Structured Clinical Interview for DSM-IV. We applied regression models to analyse associations between clinical and demographical traits from OPCRIT and symptom dimensions. We used previously computed dimensions of schizophrenia and bipolar affective disorder as quantitative traits for regression models. Male gender seemed protective factor for depression dimension in schizophrenia and bipolar disorder sample. Presence of definite psychosocial stressor prior disease seemed risk factor for depressive and suicidal domain in BD and SCH. OPCRIT items describing premorbid functioning seemed related with depression, positive and disorganised dimensions in schizophrenia and psychotic in BD. We proved clinical and demographical characteristics of the sample are predictors of symptom dimensions of schizophrenia and bipolar disorder. We also saw relation between clinical dimensions and course of disorder and impairment during disorder.

Is age of onset associated with severity, prognosis, and clinical features in bipolar disorder? A meta-analytic review

OBJECTIVES

To identify clinical characteristics and adverse outcomes associated with an earlier age of onset of bipolar disorder.

METHODS

A comprehensive search yielded 15 empirical papers comparing clinical presentation and outcomes in individuals with bipolar disorder grouped according to age of onset (total N=7370). The following variables were examined to determine odds ratios (ORs) and 95% confidence intervals (CIs): presence of Axis I comorbidity, rapid cycling, psychotic symptoms, mixed episodes (DSM-IV), lifetime suicide attempts, lifetime alcohol and substance abuse, symptom severity, and treatment delay.

RESULTS

Early age of onset was found to be associated with longer delay to treatment (Hedges' g=0.39, P=.001), greater severity of depression (Hedges' g=0.42, P<.001), and higher levels of comorbid anxiety (OR=2.34, P<.001) and substance use (OR=1.80, P<.001). Surprisingly, no association was found between early age of onset and clinical characteristics such as psychotic symptoms or mixed episodes as defined by DSM-IV.

CONCLUSIONS

Earlier age of onset of bipolar disorder is associated with factors that can negatively impact long-term outcomes such as increased comorbidity. However, no association was found between early onset and indicators of severity or treatment resistance such as psychotic symptoms. Clinical features found to have the strongest relationship with early age of onset were those potentially amenable to pharmacological and psychological treatment. Results highlight the importance of early identification and provide potential areas of focus for the development of early intervention in bipolar disorder.

Physical and sexual abuse and early-onset bipolar disorder in youths receiving outpatient services: frequent, but not specific

The objective of this study was to determine if physical and sexual abuse showed relationships to early-onset bipolar spectrum disorders (BPSD) consistent with findings from adult retrospective data. Participants (N = 829, M = 10.9 years old ± 3.4 SD, 60% male, 69% African American, and 18% with BPSD), primarily from a low socio-economic status, presented to an urban community mental health center and a university research center. Physical abuse was reported in 21%, sexual abuse in 20%, and both physical and sexual abuse in 11% of youths with BPSD. For youths without BPSD, physical abuse was reported in 16%, sexual abuse in 15%, and both physical and sexual abuse in 5% of youths. Among youth with BPSD, physical abuse was significantly associated with a worse global family environment, more severe depressive and manic symptoms, a greater number of sub-threshold manic/hypomanic symptoms, a greater likelihood of suicidality, a greater likelihood of being diagnosed with PTSD, and more self-reports of alcohol or drug use. Among youth with BPSD, sexual abuse was significantly associated with a worse global family environment, more severe manic symptoms, a greater number of sub-threshold manic/hypomanic symptoms, greater mood swings, more frequent episodes, more reports of past hospitalizations, and a greater number of current and past comorbid Axis I diagnoses. These findings suggest that if physical and/or sexual abuse is reported, clinicians should note that abuse appears to be related to increased severity of symptoms, substance use, greater co-morbidity, suicidality, and a worse family environment.

The National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) Waves 1 and 2: review and summary of findings

PURPOSE

The NESARC, a "third-generation" psychiatric epidemiologic survey that integrated detailed measures of alcohol and drug use and problems has been the data source for over >850 publications. A comprehensive review of NESARC findings and their implications is lacking.

METHOD

NESARC was a survey of 43,093 participants that covered alcohol, drug and psychiatric disorders, risk factors, and consequences. Wave 1 of the NESARC was conducted in 2001-2002. Three years later, Wave 2 follow-up re-interviews were conducted with 34,653 of the original participants. Scopus and Pubmed were used to search for NESARC papers, which were sorted into topic areas and summarized.

RESULT

The most common disorders were alcohol and posttraumatic stress disorders, and major depression. Females had more internalizing disorders and males had more externalizing disorders, although the preponderance of males with alcohol disorders (the "gender gap") was less pronounced than it was in previous decades. A race/ethnic "paradox" (lower risk among disadvantaged minorities than whites) remains unexplained. Younger participants had higher risk for substance and personality disorders, but not unipolar depressive or anxiety disorders. Psychiatric comorbidity was extensive and often formed latent trans-diagnostic domains. Since 1991-1992, risk for marijuana and prescription drug disorders increased, while smoking decreased, although smoking decreases were less pronounced among those with comorbidity. A nexus of comorbidity, social support, and stress predicted transitions in diagnostic status between Waves 1 and 2. Childhood maltreatment predicted psychopathology. Alcohol and drug use disorders were seldom treated; attitudinal barriers (little perceived need, perceived alcoholism stigma, pessimism about efficacy) were more important in predicting non-treatment than financial barriers.

CONCLUSIONS

Understanding comorbidity and the effects of early stressors will require research incorporating biologic components, e.g., genetic variants and brain imaging. The lack of treatment for alcohol and drug disorders, predicted by attitudinal rather than financial variables, suggests an urgent need for public and professional education to reduce the stigma associated with these disorders and increase knowledge of treatment options.

Major Depressive Disorder and Bipolar Disorder Predispose Youth to Accelerated Atherosclerosis and Early Cardiovascular Disease: A Scientific Statement From the American Heart Association

In the 2011 "Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents," several medical conditions among youth were identified that predispose to accelerated atherosclerosis and early cardiovascular disease (CVD), and risk stratification and management strategies for youth with these conditions were elaborated. Major depressive disorder (MDD) and bipolar disorder (BD) among youth satisfy the criteria set for, and therefore merit inclusion among, Expert Panel tier II moderate-risk conditions. The combined prevalence of MDD and BD among adolescents in the United States is ≈10%, at least 10 times greater than the prevalence of the existing moderate-risk conditions combined. The high prevalence of MDD and BD underscores the importance of positioning these diseases alongside other pediatric diseases previously identified as moderate risk for CVD. The overall objective of this statement is to increase awareness and recognition of MDD and BD among youth as moderate-risk conditions for early CVD. To achieve this objective, the primary specific aims of this statement are to (1) summarize evidence that MDD and BD are tier II moderate-risk conditions associated with accelerated atherosclerosis and early CVD and (2) position MDD and BD as tier II moderate-risk conditions that require the application of risk stratification and management strategies in accordance with Expert Panel recommendations. In this scientific statement, there is an integration of the various factors that putatively underlie the association of MDD and BD with CVD, including pathophysiological mechanisms, traditional CVD risk factors, behavioral and environmental factors, and psychiatric medications.

Treatment development and feasibility study of family-focused treatment for adolescents with bipolar disorder and comorbid substance use disorders

BACKGROUND

Comorbid substance use disorders (SUD) are associated with increased illness severity and functional impairment among adolescents with bipolar disorder (BD). Previous psychosocial treatment studies have excluded adolescents with both BD and SUD. Studies suggest that integrated interventions are optimal for adults with BD and SUD.

METHODS

We modified family-focused treatment for adolescents with BD (FFT-A) in order to explicitly target comorbid SUD (FFT-SUD). Ten adolescents with BD who had both SUD and an exacerbation of manic, depressed, or mixed symptoms within the last 3 months were enrolled. FFT-SUD was offered as an adjunct to pharmacotherapy, with a target of 21 sessions over 12 months of treatment. The FFT- SUD manual was iteratively modified to integrate a concurrent focus on SUD.

RESULTS

Six subjects completed a mid-treatment 6-month assessment (after a mean of 16 sessions was completed). Of the 10 subjects, 3 dropped out early (after ≤1 session); in the case of each of these subjects, the participating parent had active SUD. No other subjects in the study had a parent with active SUD. Preliminary findings suggested significant reductions in manic symptoms and depressive symptoms and improved global functioning in the subjects who completed 6 months of treatment. Reduction in cannabis use was modest and did not reach significance. Limitations. Limitations included a small sample, open treatment, concurrent medications, and no control group.

CONCLUSIONS

These preliminary findings suggest that FFT-SUD is a feasible intervention, particularly for youth without parental SUD. FFT-SUD may be effective in treating mood symptoms, particularly depression, despite modest reductions in substance use. Integrating motivation enhancing strategies may augment the effect of this intervention on substance use. Additional strategies, such as targeting parental substance use, may prevent early attrition.

Increased prospective health service use for depression among adults with childhood onset bipolar disorder

OBJECTIVE

To examine the prospective relationship between age of onset of bipolar disorder and the demographic and clinical characteristics, treatment, new onset of psychiatric comorbidity, and psychosocial functioning among adults with bipolar disorder.

STUDY DESIGN

As part of the National Epidemiologic Survey on Alcohol and Related Conditions, 1600 adults who met lifetime Statistical Manual of Mental Disorders, 4th edition criteria for bipolar disorder-I (n = 1172) and bipolar disorder-II (n = 428) were included. Individuals were evaluated using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-IV version for Diagnostic and Statistical Manual of Mental Disorders, 4th edition, and data were analyzed from Waves 1 and 2, approximately 3 years apart. Individuals with bipolar disorder were divided into three age at onset groups: childhood (<13 years old, n = 115), adolescence (13-18 years old, n = 396), and adulthood (>19 year old, n = 1017).

RESULTS

After adjusting for confounding factors, adults with childhood-onset bipolar disorder were more likely to see a counselor, have been hospitalized, and have received emergency room treatment for depression compared with those with adulthood-onset bipolar disorder. By contrast, there were no differences in the severity of mania or hypomania, new onset of comorbidity, and psychosocial functioning by age of bipolar disorder onset.

CONCLUSIONS

Childhood-onset bipolar disorder is prospectively associated with seeking treatment for depression, an important proxy for depressive severity. Longitudinal studies are needed in order to determine whether prompt identification, accurate diagnosis, and early intervention can serve to mitigate the burden of childhood onset on the long-term depressive burden of bipolar disorder.

Predictors of first-onset substance use disorders during the prospective course of bipolar spectrum disorders in adolescents

OBJECTIVE

Substance use disorders (SUD) are common and problematic in bipolar disorder (BP). We prospectively examined predictors of first-onset SUD among adolescents with BP.

METHOD

Adolescents (12-17 years old; N = 167) in the Course and Outcome of Bipolar Youth (COBY) study fulfilling criteria for BP-I, BP-II, or operationalized BP not otherwise specified, without SUD at intake, were included. Baseline demographic, clinical, and family history variables, and clinical variables assessed during follow-up, were examined in relation to first-onset SUD. Participants were prospectively interviewed every 38.5 ± 22.2 weeks for an average of 4.25 ± 2.11 years.

RESULTS

First-onset SUD developed among 32% of subjects, after a mean of 2.7 ± 2.0 years from intake. Lifetime alcohol experimentation at intake most robustly predicted first-onset SUD. Lifetime oppositional defiant disorder and panic disorder, family history of SUD, low family cohesiveness, and absence of antidepressant treatment at intake were also associated with increased risk of SUD, whereas BP subtype was not. Risk of SUD increased with increasing number of these 6 predictors: 54.7% of subjects with 3 or more predictors developed SUD vs. 14.1% of those with fewer than 3 predictors (hazard ratio = 5.41 95% confidence interval = 2.7-11.0 p < .0001). Greater hypo/manic symptom severity in the preceding 12 weeks predicted greater likelihood of SUD onset. Lithium exposure in the preceding 12 weeks predicted lower likelihood of SUD.

CONCLUSIONS

This study identifies several predictors of first-onset SUD in the COBY sample that, if replicated, may suggest targets for preventive interventions for SUD among youth with BP. Treatment-related findings are inconclusive and must be interpreted tentatively, given the limitations of observational naturalistic treatment data. There is a substantial window of opportunity between BP and SUD onset during which preventive strategies may be used.

Antisocial personality disorder and borderline symptoms are differentially related to impulsivity and course of illness in bipolar disorder

BACKGROUND

Interactions between characteristics of bipolar and Axis II cluster B disorders are clinically and diagnostically challenging. Characteristics associated with personality disorders may be dimensional aspects of bipolar disorder. We investigated relationships among antisocial personality disorder (ASPD) or borderline personality disorder symptoms, impulsivity, and course of illness in bipolar disorder.

METHODS

Subjects with bipolar disorder were recruited from the community. Diagnosis was by structured clinical interview for DSM-IV (SCID-I and -II), psychiatric symptom assessment by the change version of the schedule for affective disorders and schizophrenia (SADS-C), severity of Axis II symptoms by ASPD and borderline personality disorder SCID-II symptoms, and impulsivity by the Barratt impulsiveness scale (BIS-11).

RESULTS

ASPD and borderline symptoms were not related to clinical state or affective symptoms. Borderline symptoms correlated with BIS-11 impulsivity scores, and predicted history of suicide attempts independently of the relationship to impulsivity. ASPD symptoms were more strongly related to course of illness, including early onset, frequent episodes, and substance-related disorders. These effects persisted after allowance for gender and substance-use disorder history.

CONCLUSIONS

Personality disorder symptoms appear to be dimensional, trait-like characteristics of bipolar disorder. ASPD and Borderline symptoms are differentially related to impulsivity and course of illness.

[Age at Onset as a Marker of Subtypes of Manic-Depressive Illness]

INTRODUCTION

Age at onset of bipolar disorder has been reported as a variable that may be associated with different clinical subtypes.

OBJECTIVE

To identify patterns in the distributions of age at onset of bipolar disease and to determine whether age at onset is associated with specific clinical characteristics.

METHODS

Admixture analysis was applied to identify bipolar disorder subtypes according to age at onset. The EMUN scale was used to evaluate clinical characteristics and principal components were estimated to evaluate the relationship between subtypes according to age at onset and symptoms in the acute in the acute phase, using multivariable analyses.

RESULTS

According to age at onset, three distributions have been found: early onset: 17.7 years (S.D. 2.4); intermediate-onset: 23.9 years (S.D. 5.6); late onset: 42.8 years (S.D. 12.1). The late-onset group is antisocial, with depressive symptoms, thinking and language disorders, and socially disruptive behaviors.

CONCLUSIONS

In patients having bipolar disorder, age at onset is antisocial with three groups having specific clinical characteristics.

Differentiating between Bipolar Disorder types I and II: results from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC)

OBJECTIVE

Bipolar Disorder I (BD I) and Bipolar Disorder II (BD II) vary considerably, with differences in symptomatology, management and prognosis. For patients with depression, the distinction between BD I and BD II is not always apparent, and hinges on the differentiation between manic/mixed and hypomanic episodes. Other putative differences between patients with BD I and II exist and may assist in distinguishing between these two conditions.

METHODS

Data were obtained from the National Epidemiological Survey on Alcohol and Related Conditions. A total of 1429 subjects were included in our analysis based on DSM-IV criteria, 935 with BD I and 494 with BD II. We examined for differences in a number of variables including demographics, clinical features, depressive symptoms, and co-morbid conditions using t-tests and chi-square analyses for a comparison of means as well as a logistic regression for variables found to be significant.

RESULTS

Key differences between BD I and BD II were identified in all categories in our comparison of means. In the regression analysis, a number of variables were determined to be predictors of BD I, including unemployment (OR=0.6), taking medications for depression (OR=1.7), a history of a suicide attempt (OR=1.8), depressive symptoms such as weight gain (OR=1.7), fidgeting (OR=1.5), feelings of worthlessness (OR=1.6) and difficulties with responsibilities (OR=2.2), as well as the presence of specific phobias (OR=1.8) and Cluster C traits (OR=1.4).

CONCLUSIONS

Our results indicate that in addition to the differences between manic/mixed and hypomanic episodes, other significant differences exist that may be used to help differentiate BD I from BD II.

Antisocial personality and bipolar disorder: interactions in impulsivity and course of illness

Antisocial personality disorder (ASPD) and bipolar disorder are both characterized by impulsive behavior, increased incarceration or arrest, addictive disorders and suicidal behavior. These characteristics appear more severe in the combined disorders. Individuals with ASPD who also have bipolar disorder have higher rates of addictive disorders and suicidal behavior and are more impulsive, as measured by questionnaires or behavioral laboratory tests. Those with bipolar disorder who have ASPD have higher rates of addictive, criminal and suicidal behavior, earlier onset of bipolar disorder with a more recurrent and predominately manic course and increased laboratory-measured, but not questionnaire-rated, impulsivity. These characteristics may result in part from differential impulsivity mechanisms in the two disorders, with bipolar disorder driven more by excessive catecholamine sensitivity and ASPD by deficient serotonergic function.

Modifiers and subtype-specific analyses in whole-genome association studies: a likelihood framework

OBJECTIVE

We propose new statistical methods for analyzing genetic case/control association data in which cases can be further classified into subtypes, for example, based on clinical features. The primary utility of our work is the ability to distinguish between subtype-specific and modifier effects of genetic variants within a single testing framework.

METHODS

A range of disease/subtype causal models are defined for genetic variants involving subtype-specific and modifier effects. We present a log-linear modeling framework enabling comparison between these causal models and selection of the best-fit model.

RESULTS

We evaluate and compare the analytic power and model selection performance of the proposed work with standard two-group-based association tests. Simulation studies demonstrate that our approach has similar or greater power than the traditional approach over a range of causal models. We also report empirical findings about the impact of misspecification of subtype frequency during model selection, and extend the application of the proposed work to the cross-disorder association studies of multiple diseases.

CONCLUSION

Whether a variant is a disease risk factor, is subtype specific, or modifies disease features has important consequences for the interpretation and follow-up of genetic associations. Our framework provides a simple, systematic way to evaluate and describe associations involving such subtype-specific or modifier effects.

An admixture analysis of the age at index episodes in bipolar disorder

The interaction between polarity at onset (PAO) and age at onset (AAO) appears to be important for interpreting results of previous analyses of AAO in bipolar disorder (BD). Using an admixture analysis, we examined independently the distributions of age at first depressive and hypomanic/manic episodes in 379 BD I and II patients. Subsequently, we examined the association of PAO and AAO with specific clinical variables, using parametric and nonparametric analyses. Both depressive and manic onsets showed bimodal distributions. For depressive episodes, the means were: 18.5±4.1 (early onset) and 33.6±10.4 (late onset) years; and for manic episodes 18.9±3.3 (early onset) and 34.8±10.9 (late onset) years. For the overall AAO the best fit was for a mixture of three lognormal distributions (mean±S.D.): 15.5±2.0, 22.8±4.6, and 36.1±10.1years. Overall, an early onset was significantly associated with a chronic course of the disorder, a stronger family history of affective disorder, higher rates of rapid cycling, suicidal behavior, psychotic symptoms, and co-morbid anxiety disorders. Early onset depressive episodes were associated with higher rates of suicidal behavior and anxiety disorders, whereas early onset manic episodes were associated with psychotic symptoms and rapid cycling. Our results suggest the presence of a bimodal distribution of age at onset in BD according to the polarity of the index episode, and denote that an early onset BD, irrespective of polarity, may be a more serious subtype of the disorder.

Excessive cannabis use is associated with earlier age at onset in bipolar disorder

The aim of the study was to investigate which factors are associated with age at onset in bipolar disorder with a specific focus on excessive alcohol and cannabis use, and the sequence of the onsets of excessive substance use and bipolar disorder. We investigated a naturalistic sample of 151 patients with bipolar I and II disorder receiving psychiatric treatment. Whether the presence of excessive substance use prior to bipolar disorder onset or the type of substance used (alcohol or cannabis) was associated with differences in age at onset was investigated using hierarchical and multiple linear regression analyses, adjusting for potential confounders. Patients with excessive alcohol use had a significantly later onset compared with patients with excessive cannabis use. Excessive general substance use prior to bipolar disorder onset was associated with a later onset. However, excessive cannabis use was associated with an earlier onset whether it preceded or followed bipolar disorder onset, also after adjusting for possible confounders. Excessive use of alcohol or other substances was not independently associated with age at onset in multivariate analyses. Alcohol use was associated with a later onset compared with cannabis use, suggesting different relationships to the onset of bipolar disorder. Lifetime use of cannabis predicted an earlier onset, independent of the sequence of onsets. This indicates that an early onset may increase the risk of cannabis use and that cannabis use may trigger bipolar disorder in vulnerable individuals.

A prospective latent analyses study of psychiatric comorbidity of DSM-IV bipolar I and II disorders

OBJECTIVE

To test two hypotheses of psychiatric comorbidity in bipolar disorder (BD): (i) comorbid disorders are independent of BD course, or (ii) comorbid disorders associate with mood.

METHODS

In the Jorvi Bipolar Study (JoBS), 191 secondary-care outpatients and inpatients with DSM-IV bipolar I disorder (BD-I) or bipolar II disorder (BD-II) were evaluated with the Structured Clinical Interview for DSM-IV Disorders, with psychotic screen, plus symptom scales, at intake and at 6 and 18 months. Three evaluations of comorbidity were available for 144 subjects (65 BD-I, 79 BD-II; 76.6% of 188 living patients). Structural equation modeling (SEM) was used to examine correlations between mood symptoms and comorbidity. A latent change model (LCM) was used to examine intraindividual changes across time in depressive and anxiety symptoms. Current mood was modeled in terms of current illness phase, Beck Depression Inventory (BDI), Young Mania Rating Scale, and Hamilton Depression Rating Scale; comorbidity in terms of categorical DSM-IV anxiety disorder diagnosis, Beck Anxiety Inventory (BAI) score, and DSM-IV-based scales of substance use and eating disorders.

RESULTS

In the SEM, depression and anxiety exhibited strong cross-sectional and autoregressive correlation; high levels of depression were associated with high concurrent anxiety, both persisting over time. Substance use disorders covaried with manic symptoms (r = 0.16-0.20, p < 0.05), and eating disorders with depressive symptoms (r = 0.15-0.32, p < 0.05). In the LCM, longitudinal intraindividual improvements in BDI were associated with similar BAI improvement (r = 0.42, p < 0.001).

CONCLUSIONS

Depression and anxiety covary strongly cross-sectionally and longitudinally in BD. Substance use disorders are moderately associated with manic symptoms, and eating disorders with depressive mood.

Birth-cohort and dual diagnosis effects on age-at-onset in Brazilian patients with bipolar I disorder

OBJECTIVE

Substance use disorders and birth-cohort have been associated with an earlier onset in bipolar disorder (BD). This study aimed at evaluating the inter-relations of these factors in age-at-onset in bipolar illness.

METHOD

Two-hundred and thirty patients with bipolar I disorder were cross-sectionally evaluated. Patients were categorized into four age groups for analysis. Lifetime comorbidity and age-at-onset were derived from the Structured Clinical Interview for DSM-IV.

RESULTS

There was a strong linear association between age group and age-at-onset. Lifetime alcohol and drug use disorders were also associated with age-at-onset. Illicit drug and alcohol use disorders and age group remained significant in the multivariate model. No interactions appeared.

CONCLUSION

Both age group and dual diagnoses had strong and independent impacts on age-at-onset in out-patients with BD. Substance abuse may be partly accountable for earlier symptom onset, but other features of BD in younger generations are still in need to be accounted for.

Are there developmentally limited forms of bipolar disorder?

Bipolar spectrum disorders have traditionally been thought to be chronic in course. However, recent epidemiologic research suggests that there may be developmentally limited forms of bipolar disorder. Two large, nationally representative studies reveal a strikingly high prevalence of bipolar disorders in emerging adulthood (5.5%-6.2% among 18-24-year-olds) that appear to resolve substantially during the latter half of the 3rd decade of life (3.1%-3.4% among 25-29-year-olds). Although ascertainment bias due to early mortality, institutionalization, incarceration, and homelessness may account for some of this reduction, the prevalence distribution suggests a high incidence in late adolescence and emerging adulthood that appears to resolve spontaneously in most cases. There were very few differences across age groups in symptom endorsement and comorbid diagnoses, suggesting that 18-24-year-olds that meet criteria for bipolar diagnoses experience clinically significant impairment and associated consequences of the disorder. More fine-grained longitudinal research is needed to determine whether developmentally limited forms of bipolar disorder exist and, if so, what markers might distinguish these forms of the disorder from more chronic courses.

Four-year longitudinal course of children and adolescents with bipolar spectrum disorders: the Course and Outcome of Bipolar Youth (COBY) study

OBJECTIVE

The authors sought to assess the longitudinal course of youths with bipolar spectrum disorders over a 4-year period.

METHOD

At total of 413 youths (ages 7-17 years) with bipolar I disorder (N=244), bipolar II disorder (N=28), and bipolar disorder not otherwise specified (N=141) were enrolled in the study. Symptoms were ascertained retrospectively on average every 9.4 months for 4 years using the Longitudinal Interval Follow-Up Evaluation. Rates and time to recovery and recurrence and week-by-week symptomatic status were analyzed.

RESULTS

Approximately 2.5 years after onset of their index episode, 81.5% of the participants had fully recovered, but 1.5 years later 62.5% had a syndromal recurrence, particularly depression. One-third of the participants had one syndromal recurrence, and 30% had two or more. The polarity of the index episode predicted that of subsequent episodes. Participants were symptomatic during 60% of the follow-up period, particularly with subsyndromal symptoms of depression and mixed polarity, with numerous changes in mood polarity. Manic symptomatology, especially syndromal, was less frequent, and bipolar II was mainly manifested by depressive symptoms. Overall, 40% of the participants had syndromal or subsyndromal symptoms during 75% of the follow-up period, and 16% of the participants experienced psychotic symptoms during 17% the follow-up period. Twenty-five percent of youths with bipolar II converted to bipolar I, and 38% of those with bipolar disorder not otherwise specified converted to bipolar I or II. Early onset, diagnosis of bipolar disorder not otherwise specified, long illness duration, low socioeconomic status, and family history of mood disorders were associated with poorer outcomes.

CONCLUSIONS

Bipolar spectrum disorders in youths are characterized by episodic illness with subsyndromal and, less frequently, syndromal episodes with mainly depressive and mixed symptoms and rapid mood changes.

Earliest symptoms discriminating juvenile-onset bipolar illness from ADHD

OBJECTIVES

Controversy surrounds the diagnosis and earliest symptoms of childhood-onset bipolar illness, emphasizing the importance of prospective longitudinal studies. To acquire a preliminary, more immediate view of symptom evolution, we examined the course of individual symptoms over the first 10 years of life in juvenile-onset bipolar illness (JO-BP) compared with attention-deficit hyperactivity disorder (ADHD).

METHODS

Parents of formally diagnosed children retrospectively rated 37 symptoms in each year of the child's life based on the degree of dysfunction in their child's usual family, social, or educational roles. A subset of children with onset of bipolar disorder prior to age 9 (JO-BP) compared with those with ADHD was the focus of this analysis.

RESULTS

Brief and extended periods of mood elevation and decreased sleep were strong early differentiators of JO-BP and ADHD children. Depressive and somatic symptoms were later differentiators. Irritability and poor frustration tolerance differentiated the two groups only in their greater incidence and severity in JO-BP compared with a moderate occurrence in ADHD. In contrast, hyperactivity, impulsivity, and decreased attention showed highly similar trajectories in the two groups.

CONCLUSIONS

Elevated mood and decreased sleep discriminated JO-BP and ADHD as early as age 3, while classic ADHD symptoms were parallel in the groups. These retrospective results provide preliminary insights into symptom differences and their temporal evolution between bipolar disorder and ADHD in the first 10 years of life.

Age at onset of bipolar disorder and risk for comorbid borderline personality disorder

OBJECTIVES

The relationship between bipolar disorder and cluster B personality disorders remains phenomenologically complex and controversial. We sought to examine the relationship between early age at onset of bipolar disorder and development of comorbid borderline personality disorder.

METHODS

A total of 100 adults in an academic specialty clinic for bipolar disorder underwent structured diagnostic interviews and clinical assessments to determine lifetime presence of comorbid borderline personality disorder, histories of childhood trauma, and clinical illness characteristics.

RESULTS

Logistic regression indicated that increasing age at onset of bipolar disorder was associated with a lower probability of developing comorbid borderline personality disorder (odds ratio = 0.91, 95% confidence interval: 0.83-0.99) while controlling for potential confounding factors, including a history of severe child trauma/abuse.

CONCLUSION

Early onset of bipolar disorder increases the probability of developing comorbid borderline personality disorder, independent of the effects of severe childhood trauma/abuse. In patients with borderline personality disorder, prospective studies of new-onset bipolar disorder may underestimate the prevalence of true comorbidity unless they capture the primary risk window for first-episode mania arising before the end of adolescence.

Em busca das origens desenvolvimentais dos transtornos mentais

INTRODUÇÃO: A psicopatologia desenvolvimental é uma disciplina que integra perspectivas epidemiológicas, sociais, genéticas, desenvolvimentais e de psicopatologia para entender as origens e o curso dos transtornos mentais. Neste artigo, são discutidos abordagens e conceitos utilizados para compreender as origens desenvolvimentais dos transtornos mentais. RESULTADOS: A psicopatologia desenvolvimental entende que os transtornos mentais são possíveis desfechos do processo de desenvolvimento e são dependentes de influências sociais, genéticas e ambientais. Esses diversos fatores estão inter-relacionados de diferentes formas e em diferentes níveis, exercendo um efeito dimensional. São discutidos: a) abordagens para determinar causalidade entre eventos ambientais e transtornos mentais; b) a importância de entendimento dos mecanismos biológicos através dos quais fatores ambientais e genéticos atuam; c) fatores genéticos predizendo a exposição a estressores ambientais; e d) fatores genéticos moderando o efeito de estressores ambientais. CONCLUSÕES: As origens dos transtornos mentais podem ser iluminadas por dados de estudos que utilizam enfoques e conceitos complementares e que integrem influências sociais, genéticas, ambientais e desenvolvimentais.

Family environment and suicidal ideation among bipolar youth

The objective of this study was to examine the association between family environment and suicidal ideation among youth with bipolar disorder. Subjects included 446 bipolar (BP) youth (age 7-17) enrolled in the Course and Outcome of Bipolar Youth study. Current suicidal ideation, family functioning and family stress were assessed at intake. BP youth with current suicidal ideation reported more conflict with their mother and less family adaptability. Ideators endorsed more stressful family events over the prior year and higher rates of specific familial stressors. Clinicians treating bipolar youth should consider family stress when conducting suicide risk assessment. Treatment goals may include enhancing family communication and addressing issues of loss.

Current research in child and adolescent bipolar disorder

Although recently more research has considered children with bipolar disorder than in the past, much controversy still surrounds the validity of the diagnosis. Furthermore, questions remain as to whether or not childhood expressions of bipolarity are continuous with adult manifestations of the illness. In order to advance current knowledge of bipolar disorders in children, researchers have begun to conduct phenomenological, longitudinal, treatment, and neuroimaging studies in youths who exhibit symptoms of bipolar illness, as well as offspring of parents with bipolar disorders. Regardless of the differences between research groups regarding how bipolar disorder in children is defined, it is agreed that pediatric bipolarity is a serious and pernicious illness. With early intervention during the period of time in which youths are exhibiting subsyndromal symptoms of pediatric bipolarity, it appears that the progression of the illness to the more malignant manifestation of the disorder may be avoided. This paper will review what is currently known and what still is left to learn about clinically salient topics that pertain to bipolar disorder in children and adolescents.

Editorial review: Shifting views on juvenile bipolar disorder and pervasive developmental disorder

PURPOSE OF REVIEW

To examine the changes in prevalence estimates and concepts of core disorder in two child mental disorders that were once considered rare, and to place these changes in a cultural context.

RECENT FINDINGS

Up to one-quarter of people with bipolar disorder may have experienced onset of symptoms prior to puberty, but the precision of the diagnosis in children is uncertain. An ongoing challenge is differentiating bipolar disorder from other child mental disorders. Reliable markers of persistent bipolarity have yet to be identified. Despite a popular perception, pervasive developmental disorder is unlikely to have increased in the population, but recognition rates have increased as much as ten-fold since 1980. The increase is largely accounted for by shifts in diagnostic practice and in attitudes towards the condition.

SUMMARY

Changes in diagnostic practice and in clinician and public attitude account for much of the apparent variation in the prevalence of child mental disorders.

Further evidence of an association between adolescent bipolar disorder with smoking and substance use disorders: a controlled study

Although previous work suggests that juvenile onset bipolar disorder increases risk for substance use disorders and cigarette smoking, the literature on the subject is limited. We evaluated the association of risk for substance use disorders and cigarette smoking with bipolar disorder in adolescents in a case-control study of adolescents with bipolar disorder (n=105, age 13.6+/-2.5 years [mean]; 70% male) and without bipolar disorder ("controls"; n=98, age 13.7+/-2.1 years; 60% male). Rates of substance use and other disorders were assessed with structured interviews (KSADS-E for subjects younger than 18, SCID for 18-year-old subjects). Bipolar disorder was associated with a significant age-adjusted risk for any substance use disorder (hazard ratio[95% confidence interval]=8.68[3.02 25.0], chi(2)=16.06, p<0.001, df=1), alcohol abuse (7.66 [2.20 26.7], chi(2)=10.2, p=0.001, df=1), drug abuse (18.5 [2.46 139.10], chi(2)=8.03, p=0.005, df=1) and dependence (12.1 [1.54 95.50], chi(2)=5.61, p=0.02, df=1), and cigarette smoking (12.3 [2.83 53.69], chi(2)=11.2, p<0.001, df=1), independently of attention deficit/hyperactivity disorder, multiple anxiety, and conduct disorder (CD). The primary predictor of substance use disorders in bipolar youth was older age (BPD-SUD versus BPD+SUD, logistic regression: chi(2)=89.37, p<0.001). Adolescent bipolar disorder is a significant risk factor for substance use disorders and cigarette smoking, independent of psychiatric comorbidity. Clinicians should carefully screen adolescents with bipolar disorder for substance and cigarette use.

Substance use disorders among adolescents with bipolar spectrum disorders

OBJECTIVE

We set out to examine the prevalence and correlates of substance use disorders (SUD) in a large sample of adolescents with bipolar disorder (BP).

METHODS

Subjects were 249 adolescents ages 12 to 17 years old who fulfilled DSM-IV criteria for bipolar I disorder [(BPI), n = 154], or bipolar II disorder [(BPII), n = 25], or operationalized criteria for BP not otherwise specified [(BP NOS), n = 70], via the Schedule for Affective Disorders and Schizophrenia for School-Aged Children (K-SADS). As part of the multi-site Course and Outcome of Bipolar Youth study, demographic, clinical, and family history variables were measured via intake clinical interview with the subject and a parent/guardian.

RESULTS

The lifetime prevalence of SUD among adolescents with BP was 16% (40/249). Results from univariate analyses indicated that subjects with, as compared to without, SUD were significantly less likely to be living with both biological parents, and that there was significantly greater lifetime prevalence of physical abuse, sexual abuse, suicide attempts, conduct disorder, and posttraumatic stress disorder among subjects with SUD. Subjects with SUD reported significantly greater 12-month prevalence of trouble with police, and females with SUD reported significantly greater 12-month prevalence of pregnancy and abortion. Significant predictors of SUD in a logistic regression model included living with both biological parents (lower prevalence), conduct disorder and suicide attempts (increased prevalence). In logistic regression analyses controlling for demographic differences and conduct disorder, SUD remained significantly associated with trouble with police, whereas the association of SUD with pregnancy and abortion was reduced to a statistical trend. The prevalence of SUD was not significantly different among child- versus adolescent-onset BP subjects.

CONCLUSIONS

SUD among adolescents with BP is associated with profound hazards including suicide attempts, trouble with police, and teenage pregnancy and abortion.