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

Adolescent and Adult Transitions From Major Depressive Disorder to Bipolar Disorder

Importance

Bipolar disorder (BD) often first appears in adolescence after onset of major depressive disorder (MDD), but diagnosis and treatment are commonly delayed. This delay is a concern because untreated BD is associated with adverse long-term outcomes, a more recurrent disease course and difficult-to-treat illness, and suicide attempts and deaths.

Objective

To examine the association of age at MDD onset with early transition to BD and the subsequent use of psychiatric inpatient services as a severity indicator.

Design, Setting, and Participants

This retrospective cohort study analyzed comprehensive data sourced from the Stockholm MDD Cohort data from 1997 to 2018, which encompass both outpatient and inpatient care. Individuals with an initial MDD episode from January 1, 2010, to December 31, 2013, who transitioned to BD by December 31, 2018, were identified. Data were analyzed between September 5 and December 28, 2023.

Exposures

Post MDD assessments included a depression severity index, comorbidities, psychotherapy, psychotropic drugs, and electroconvulsive therapy.

Main Outcomes and Measures

The main outcome was the transition from MDD to BD, dichotomized as occurring early (within 3 years of MDD onset) or late (3 years after MDD onset). Secondary outcomes encompassed the use of psychiatric inpatient services post transition and patterns of medication usage. A robust propensity score matching framework was used to estimate outcomes.

Results

The final balanced cohort included 228 individuals, with an equal distribution between adults (n = 114; mean [SD] age, 24.5 [6.3] years; 96 female [84.2%]; 20 experiencing an early transition to BD [17.5%]) and youths (n = 114; mean [SD] age, 15.3 [1.6] years; 93 female [81.6%]; 8 experiencing an early transition to BD [7.0%]). Youths were substantially less likely to transition early (odds ratio, 0.42; 95% CI, 0.20-0.88; P = .02), despite having more outpatient visits (mean [SD] visits per month, 1.21 [1.07] vs 0.97 [0.98] for adults; P = .01). Both groups experienced substantially reduced inpatient care following a BD diagnosis, concurring with a marked decline in antidepressant use without increased lithium use.

Conclusions and Relevance

These findings suggest that adolescents may experience delayed BD progression and that diagnosis substantially reduced inpatient care in all age groups, which coincided with a reduction in the use of antidepressants. These findings may inform pharmacologic strategies in patients with first-episode MDD at risk for BD.

Socio-economic status, functioning and cognition in young versus adult patients newly diagnosed with bipolar disorder and their unaffected relatives; results from a cross-sectional study

BACKGROUND

Bipolar disorders (BD) figures on top of the World Health Organization classification of disabling disorders. It is unclear if there are socioeconomic, functioning, and cognition differences in young patients newly diagnosed with BD and whether these are different for young and adult patients newly diagnosed with BD. Understanding these differences is important for tailored treatment and support.

METHODS

Participant groups included 401 patients newly diagnosed with BD, 145 of their unaffected first-degree relatives (UR) and 209 healthy control individuals (HC). First, we compared socio-economic status, functioning and cognition between young patients newly diagnosed with BD (150), UR (61) and HC (92) (15-25 years) and adult patients newly diagnosed with BD (251), UR (84) and HC (117) (>25 years), respectively. Second, within patients, we compared functioning and cognition between young and adult patients newly diagnosed with BD.

RESULTS

In both participant groups, patients newly diagnosed with BD, and to a lesser degree UR, had lower socio-economic status and impaired functioning and cognition compared with HC. Further, young patients newly diagnosed with BD were less functionally impaired, than adults newly diagnosed with BD, whereas cognition did not differ between groups.

LIMITATIONS

Applied tools for assessments of functioning and cognition are not validated below age 18.

CONCLUSIONS

Overall, lower socio-economic status and impaired functioning and cognition were found both in young and adult patients newly diagnosed with BD and their UR compared with young and adult HC, respectively. Young patients were less functionally impaired than adults, but cognition was similarly impaired.

Functional Alterations in Patients with Bipolar Disorder and Their Unaffected First-Degree Relatives: Insight from Genetic, Epidemiological, and Neuroimaging Data

Bipolar disorder (BD) profoundly affects cognitive and psychosocial functioning, leading to a significant illness burden on patients and their families. Genetic factors are predominant in the onset of bipolar disorder and functional impairments. This disorder exhibits a strong family aggregation, with heritability estimates reaching up to 80%. Individuals with BD often experience impaired functioning, especially in significant areas such as physical performance, sleep, cognition, interpersonal interactions, socioeconomic status, family and marital relationships, work and school performance, well-being, and life expectancy. However, patients with different subtypes exhibit significant heterogeneity in social functioning, cognition, and creativity levels. There are notable differences in psychosocial and cognitive function in their unaffected first-degree relatives (UFR) who do not suffer but may carry susceptibility genes compared to healthy control (HC) without a family history. The observations indicate common genetic structures between BD patients and their UFR, which results in varying degrees of functional abnormalities. Therefore, this article mainly provides evidence on cognition, creativity, and psychosocial functioning in patients with BD and their UFR to provide a more comprehensive understanding of this critical topic in the field of BD. By integrating various findings, including clinical data and neuroimaging studies, our article aims to provide insights and valuable information for a deeper exploration of the pathogenesis of BD and the development of more targeted therapeutic strategies in the future.

Predictors of diagnostic conversion from major depression to bipolar disorder: a Swedish national longitudinal study

BACKGROUND

It is clinically important to predict the conversion of major depression (MD) to bipolar disorder (BD). Therefore, we sought to identify related conversion rates and risk factors.

METHODS

This cohort study included the Swedish population born from 1941 onward. Data were collected from Swedish population-based registers. Potential risk factors, including family genetic risk scores (FGRS), which were calculated based on the phenotypes of relatives in the extended family and not molecular data, and demographic/clinical characteristics from these registers were retrieved. Those with first MD registrations from 2006 were followed up until 2018. The conversion rate to BD and related risk factors were analyzed using Cox proportional hazards models. Additional analyses were performed for late converters and with stratification by sex.

RESULTS

The cumulative incidence of conversion was 5.84% [95% confidence interval (95% CI) 5.72-5.96] for 13 years. In the multivariable analysis, the strongest risk factors for conversion were high FGRS of BD [hazard ratio (HR) = 2.73, 95% CI 2.43-3.08], inpatient treatment settings (HR = 2.64, 95% CI 2.44-2.84), and psychotic depression (HR = 2.58, 95% CI 2.14-3.11). For late converters, the first registration of MD during the teenage years was a stronger risk factor when compared with the baseline model. When the interactions between risk factors and sex were significant, stratification by sex revealed that they were more predictive in females.

CONCLUSIONS

Family history of BD, inpatient treatment, and psychotic symptoms were the strongest predictors of conversion from MD to BD.

Pharmacotherapy exposure as a marker of disease complexity in bipolar disorder: Associations with clinical & genetic risk factors

Individuals with bipolar disorder (BD) require chronic pharmacotherapy, typically including medication switches or polypharmacy due to persisting symptoms or intolerable side effects. Here, we quantified pharmacotherapy exposure (PE) of Mayo Clinic BD Biobank participants using the number of cross-sectional (at enrollment) and lifetime BD-specific medications and medication classes, to understand the relationship between PE and markers of disease severity or treatment failure, psychiatric comorbidities, and polygenic risk scores (PRS) for six major psychiatric disorders. Being female (p < 0.05), older (p < 0.01), having history of suicide attempts (p < 0.0001), and comorbid attention-deficit/hyperactivity disorder (p < 0.05) or generalized anxiety disorder (p < 0.05) were uniformly associated with higher PE. Lifetime exposure to unique medication classes among participants with BD-I was significantly lower than for those with schizoaffective disorder (estimate = -2.1, p < 0.0001) while significantly higher than for those with BD-II (estimate = 0.5, p < 0.01). Further, higher PRS for schizophrenia (SCZ) and anxiety resulted in greater lifetime medication counts (p < 0.01), both driven by antipsychotic (p < 0.001) and anxiolytic use (p < 0.05). Our results provide initial evidence of the utility of PE as a measure of disease complexity or treatment resistance, and that PE may be predicted by higher genetic risk for SCZ and anxiety.

Socio-economic functioning in patients with bipolar disorder and their unaffected siblings - results from a nation-wide population-based longitudinal study

BACKGROUND

Few studies have reported real-life data on socio-economic functioning in patients with bipolar disorder and their unaffected first-degree relatives.

METHODS

We used Danish nation-wide population-based longitudinal register linkage to investigate socio-economic functioning in 19 955 patients with bipolar disorder, their 13 923 siblings and 20 sex, age and calendar-matched control individuals from the general population. Follow-up was from 1995 to 2017.

RESULTS

Patients with a diagnosis of bipolar disorder had lower odds of having achieved the highest educational level [OR 0.75 (95% confidence interval (CI) 0.73-0.77)], being employed [OR 0.16 (95% CI 0.159-0.168)], having achieved the 80% highest quartile of income [OR 0.33 (95% CI 0.32-0.35)], cohabitating [OR 0.44 (95% CI 0.43-0.46)] and being married [OR 0.54 (95% CI 0.52-0.55)] at first contact to hospital psychiatry as inpatient or outpatient compared with control individuals from the general population. Similarly, siblings to patients with bipolar disorder had a lower functioning within all five socio-economic areas than control individuals. Furthermore, patients and partly siblings showed substantially decreased ability to enhance their socio-economic functioning during the 23 years follow-up compared to controls.

CONCLUSIONS

Socio-economic functioning is substantially decreased in patients with bipolar disorder and their siblings and does not improve during long-term follow-up after the initial hospital contact, highlighting a severe and overlooked treatment gap.

Fire and Darkness: On the Assessment and Management of Bipolar Disorder

Bipolar disorder is characterized by recurrent mood episodes, affecting 1% to 2% of the population. Although its defining features are manic and hypomanic episodes, its course is dominated by depressive syndromes. Diagnosis can be challenging owing to symptom overlap with other disorders. Management goals include early and complete remission of acute episodes and the prevention of relapse between episodes. We present an overview of bipolar disorder and its subtypes, including algorithms and suggestions for screening, assessment, and treatment.

Familial load of psychiatric disorders and overall functioning in patients newly diagnosed with bipolar disorder and their unaffected first-degree relatives

BACKGROUND

Overall functioning is already impaired in patients newly diagnosed with bipolar disorder (BD) and, to a lesser degree, also in their unaffected first-degree relatives (UR). Further, aggregation of psychiatric disorders among the patients' first-degree relatives seems to be associated with higher illness burden and poorer prognosis. However, whether this aggregation of psychiatric disorders among first-degree relatives, the familial load (FL), impacts overall functioning in patients newly diagnosed with BD and their UR remains unresolved.

METHODS

In total, 388 patients newly diagnosed with BD, 144 of their UR and 201 healthy control individuals were included. Overall functioning was assessed using three different assessment methods: The interviewer based "Functioning Assessment Short Test" (FAST), the questionnaire "Work and Social Adjustment Scale" (WSAS) and six outcome measures covering the participants' socio-economic status (SES); educational achievement, employment, work ability, relationship, cohabitation and marital status. Familial load of psychiatric disorder was assessed using the "Family History Research Diagnostic Criteria" interview. Associations between FL and overall functioning in patients and UR were investigated categorically using logistic and continuously in linear regression models.

RESULTS

Contrasting with the hypotheses, the FL of psychiatric disorders was not associated with impaired overall functioning, neither in patients newly diagnosed with BD nor in their UR.

CONCLUSION

The findings indicate that impaired functioning in the early phase of BD is not associated with aggregation of psychiatric disorders among first-degree relatives. The observed functional impairment in patients newly diagnosed with BD seems driven by the personal impact of the disorder rather than the impact of having first-degree relatives with psychiatric disorders.

A systematic review and meta-analysis of delayed help-seeking, delayed diagnosis and duration of untreated illness in bipolar disorders

OBJECTIVES

To examine the time delay between the age at onset of symptoms or episodes of bipolar disorders (BD) and the age at diagnosis of and/or receipt of clinical practice guideline recommended interventions for BD.

METHODS

Systematic search of five databases to identify publications from January 2000 to July 2022 that reported one or more of the following reliable and valid estimates of latency: delay in help seeking (DHS), delay in diagnosis (DD) and duration of untreated BD (DUB). Eligible studies were included in random effects meta-analyses and multivariate meta-regression was used to assess factors associated with each latency construct.

RESULTS

Screening of 1074 publications identified 59 eligible studies (reported in 66 publications) of >40,000 individuals that estimated DHS (8 studies), DD (20 studies) and/or DUB (45 studies). The median DHS, DD and DUB were 3.5 (IQR: 2.8, 8.48), 6.7 (IQR: 5.6, 8.9) and 5.9 years (IQR: 1.1, 8.2), respectively. Key factors associated with shorter DD included older age and residing outside North America; shorter DUB was associated with psychotic or manic onset and access to early intervention services.

CONCLUSIONS

Greater consensus on definitions of latency constructs and better-quality targeted research is required regarding DHS, DD and DUB. This review suggests that, while the peak age at onset of BD is 15-25, diagnosis and guideline recommended interventions (e.g., mood stabilizers) are likely to be delayed until age 25-35 years except for a minority of individuals with access to early intervention services.

The clinical characterization of the adult patient with bipolar disorder aimed at personalization of management

Bipolar disorder is heterogeneous in phenomenology, illness trajectory, and response to treatment. Despite evidence for the efficacy of multimodal-ity interventions, the majority of persons affected by this disorder do not achieve and sustain full syndromal recovery. It is eagerly anticipated that combining datasets across various information sources (e.g., hierarchical "multi-omic" measures, electronic health records), analyzed using advanced computational methods (e.g., machine learning), will inform future diagnosis and treatment selection. In the interim, identifying clinically meaningful subgroups of persons with the disorder having differential response to specific treatments at point-of-care is an empirical priority. This paper endeavours to synthesize salient domains in the clinical characterization of the adult patient with bipolar disorder, with the overarching aim to improve health outcomes by informing patient management and treatment considerations. Extant data indicate that characterizing select domains in bipolar disorder provides actionable information and guides shared decision making. For example, it is robustly established that the presence of mixed features - especially during depressive episodes - and of physical and psychiatric comorbidities informs illness trajectory, response to treatment, and suicide risk. In addition, early environmental exposures (e.g., sexual and physical abuse, emotional neglect) are highly associated with more complicated illness presentations, inviting the need for developmentally-oriented and integrated treatment approaches. There have been significant advances in validating subtypes of bipolar disorder (e.g., bipolar I vs. II disorder), particularly in regard to pharmacological interventions. As with other severe mental disorders, social functioning, interpersonal/family relationships and internalized stigma are domains highly relevant to relapse risk, health outcomes, and quality of life. The elevated standardized mortality ratio for completed suicide and suicidal behaviour in bipolar disorder invites the need for characterization of this domain in all patients. The framework of this paper is to describe all the above salient domains, providing a synthesis of extant literature and recommendations for decision support tools and clinical metrics that can be implemented at point-of-care.

Socio-economic status and functioning in patients newly diagnosed with bipolar disorder and their unaffected siblings - Results from a cross-sectional clinical study

BACKGROUND

Few studies have reported socio-economic status and functioning in patients newly diagnosed with bipolar disorder (BD) and their unaffected siblings (US).

METHODS

Socio-economic status and functioning were compared in a cross-sectional clinical study including 382 patients newly diagnosed with BD, 129 of their US, and 200 healthy control individuals (HC).

RESULTS

Socio-economic status was lower in patients newly diagnosed with BD compared with HC within educational achievement, employment status, workability and relationship status (p < 0.001, OR between 0.02 and 0.53). Regarding US and HC, US had lower educational achievement (p < 0.001, OR = 0.27 [0.16; 0.46]), as the only affected socio-economic outcome. Functioning was substantially impaired according to the Functional Assessment Short Test (FAST) (p < 0.001, Cohen's d = 2.12) and Work and Social Adjustment Scale (WSAS) (p < 0.001, Cohen's d = 2.76) in patients newly diagnosed with BD compared with HC. US expressed the same pattern with impaired overall functioning. Within patients, the impaired functioning was associated with a longer illness duration.

LIMITATIONS

Patients had an illness duration of 10.5 [IQR: 6.1; 16.2] years, even though they were included shortly after a diagnosis of BD (0.3 [IQR: 0.1; 0.7] years), highlighting the obstacles of research in illness onset of BD.

CONCLUSIONS

Patients newly diagnosed with BD, and to a lesser degree their US, exhibit lower socio-economic status and impaired overall functioning. These findings emphasise the importance of early diagnosis, treatment and focus on functional recovery and stress that intervention strategies and further research in high-risk individuals are needed.

Clinical and demographic factors associated with delayed diagnosis of bipolar disorder: Data from Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study

BACKGROUND

The diagnosis of Bipolar Disorder (BD) is frequently delayed. In this study, we aimed to examine the clinical and demographic factors associated with delayed diagnosis of BD, defined as the difference between the age at first mood episode (depressive, manic, or hypomanic) and the age at the correct diagnosis of BD, using data from a Canadian multicentre naturalistic study.

METHODS

The sample included 192 patients with Bipolar I Disorder (BD-I) and 127 with Bipolar II Disorder (BP-II) who participated in the Health Outcomes and Patient Evaluations in Bipolar Disorder (HOPE-BD) study. Sociodemographic characteristics and clinical features that had been previously associated with delayed diagnosis of BD were included in the analysis.

RESULTS

The median delay in diagnosis was 5.0 years in BD-I and 11.0 years in BD-II. Clinical factors such as earlier age of onset, lifetime suicide attempts and comorbid anxiety disorders were associated with a longer delay, whereas the presence of lifetime psychotic symptoms and psychiatric hospitalizations were associated with a shorter delay. Quantile regression analysis showed older age at which professional help was first sought and younger age of onset as predictors of increased delay in diagnosis of BD-I and BD-II. Depression as first episode predicted longer delay in diagnosis of BD-I but not BD-II.

CONCLUSION

Our findings identified the ongoing lag in identification of a BD diagnosis and the clinical markers most associated with this delay, highlighting the need for implementation of strategies for early identification and interventions in BD.

Changes in major psychiatric disorders in children and adolescents from 2001 to 2020: A retrospective single-center study

OBJECTIVE

This study aimed to determine the hospitalization rates, length of stay, age at the time of admission, and sex distribution for major psychiatric disorders in children and adolescents and provide a reference for early intervention for these diseases and distribution of medical resources in hospitals.

METHODS

We screened 4,423 patients in the child and adolescent wards of the Anhui Provincial Mental Health Center from 2001 to 2020, and examined the top four (81.1%) mental health disorders that accounted for the overall proportion of patients admitted, namely schizophrenia (SCZ) (45.7%), depressive disorder (DD) (14.5%), bipolar disorder (BD) (9.3%), and childhood emotional disorder (CED) (11.6%), and for each disorder, the percentage of hospitalization, length of stay, age at admission, and sex distribution were analyzed.

RESULTS

From 2001 to 2020, there was a significantly decreasing trend in the proportion of hospitalizations for SCZ (p < 0.001) and an increasing trend for depression and CED (p < 0.001). In terms of length of stay, SCZ was significantly longer than the other three disorders (p < 0.001), whereas there was no significant difference between DD, BD, and CED, and there was no significant trend in length of stay for any of the four disorders. The age at admission for CED was significantly lower than that for the other three disorders (p < 0.001). There was a decreasing trend in the age at admission for DD (p = 0.011) and an increasing trend for BD (p = 0.001). A significant increase in the number of female patients admitted for SCZ, DD, and CED was observed, while there was no significant change in the sex ratio for BD.

CONCLUSION

Although there is a significant downward trend in the percentage of hospitalizations for SCZ, it is still the most common psychiatric disorder in children and adolescents. We observed a significant increase in the percentage of hospitalizations for DD and CED. In addition, the proportion of female patients being hospitalized is on the rise, and this aspect requires continuous attention.

Tolerability, Safety, and Effectiveness of Two Years of Treatment with Lurasidone in Children and Adolescents with Bipolar Depression

Objectives: To evaluate long-term safety and effectiveness of lurasidone in children and adolescents with bipolar depression. Methods: Participants, ages 10-17 years, with bipolar depression, who completed 6 weeks of double-blind (DB) treatment with lurasidone or placebo were enrolled in a 2-year, open-label (OL) extension study of lurasidone (20-80 mg/d). The primary effectiveness measure was the Children's Depression Rating Scale, Revised (CDRS-R). Results: A total of 306 participants entered the 2-year extension study; 195 (63.7%) completed 52 weeks, and 168 (54.9%) completed 104 weeks of treatment. For all participants entering the extension study, mean change in CDRS from OL baseline was -13.4 at week 52, and -16.4 at week 104 (-11.3 at last observation carried forward [LOCF]-endpoint). Overall, 31 participants (10.1%) discontinued due to an adverse event (AE); the three most common AEs were headache (23.9%), nausea (16.4%), and somnolence (9.8%). OL treatment with lurasidone was associated with few effects on metabolic parameters or prolactin. Mean change from DB baseline in weight was +4.25 kg at week 52 (vs. an expected weight gain of +3.76 kg), and +6.75 kg at week 104 (vs. an expected weight gain of +6.67 kg), based on the sex- and age-matched United States Center for Disease Control normative data. Conclusions: For youth with bipolar depression, up to 2 years of treatment with lurasidone was generally well tolerated, safe, and effective with relatively low rates of discontinuation due to AEs, minimal effects on weight, metabolic parameters or prolactin, and continued improvement in depressive symptoms. Clinical Trial Registration number: NCT01914393.

Social support in patients with bipolar disorder and differing ages at onset

OBJECTIVE

The main purpose of this study was to evaluate the association between age at onset and social support in outpatients with bipolar disorder who were in the recovery phase. We also investigated the association between age at onset and disability.

METHODS

A total of 180 bipolar disorder I outpatients, of whom 50 had early onset with age at onset ≤18 years old, 108 had middle onset with age at onset between 19 and 39 years old, and 22 had late onset with age at onset ≥40 years old, were assessed with the Medical Outcomes Study Social Support Scale and Sheehan Disability Scale.

RESULTS

The early onset group had lower tangible social support, longer length of illness, more childless participants, lower income and more suicide attempters than the late onset group.

CONCLUSIONS

Early onset seems to have inferior outcomes in tangible social support than late onset, but this trend should be considered as a starting point for future studies.