Clinical course predicts long-term outcomes in bipolar disorder

Predominant Polarity for Enhanced Phenotyping and Personalized Treatment of Bipolar Disorder: A Narrative Review on Recent Findings

PURPOSE OF REVIEW

This paper explores Predominant Polarity (PP) in Bipolar Disorder (BD), defined as the predominance of either manic or depressive episodes over a patient's course of illness. We examine its clinical relevance, neurobiological foundations, and potential for guiding personalized treatment strategies. The review seeks to determine whether PP is a reliable course specifier and how it can be utilized to improve clinical outcomes.

RECENT FINDINGS

PP has a significant impact on prognosis and treatment planning in BD. Manic and depressive PP are associated with distinct clinical and neurobiological profiles of BD, while individuals without a clear predominance of either episode type represent a more severe to-treat subgroup of patients. The development of the Polarity Index (PI) facilitates treatment decisions based on PP. PP offers a valuable framework for refining BD treatment and understanding its complexity. Future research should focus on refining PP definitions, validating neurobiological markers, and integrating these insights into comprehensive treatment models to improve patient outcomes.

Discontinuity of psychiatric care among patients with bipolar disorder in the Netherlands

BACKGROUND

Patients with bipolar disorder benefit from guidelines recommended continuous community-oriented psychiatric and somatic healthcare, but often discontinue psychiatric care.

AIMS

The first objective was to identify predictive factors of discontinuity of psychiatric care among patients who had received psychiatric care. The second objective was to examine if practice variation in discontinuity of psychiatric care existed between providers of psychiatric care.

METHOD

Registry healthcare data were used in a retrospective cohort study design using logistic regression models to examine potential predictive factors of discontinuity of care. Patient-related predictive factors were: age, sex, urbanization, and previous treatment (type and amount of psychiatric care, alcohol, and opioid treatment). Patients already diagnosed with bipolar disorder were selected if they received psychiatric care in December 2014 to January 2015. Discontinuity of psychiatric care was measured over 2016.

RESULTS

A total of 2,355 patients with bipolar disorder were included. In 12.1% discontinuity of care occurred in 2016. Discontinuity was associated with younger age and less outpatient care over 2013 to 2014. Discontinuity of patients who received all eight quarters outpatient care including BD medication was very low at 4%. The final model contained: age, type of psychiatric care, and amount of outpatient care in 2013 to 2014. Practice variation among providers appeared negligible.

CONCLUSIONS

The (mental) health service in the Netherlands has few financial or other barriers toward continuity of care for patients with severe mental disorders, such as bipolar disorder. An active network of providers, aim to standardize care. This seems successful. However, 12% discontinuity per year remains problematic and more detailed data on those most at risk to drop out of treatment are necessary.

[Long-term courses of bipolar disorders]

BACKGROUND

Bipolar disorder (short: BD) is a severe illness with very heterogeneous trajectories. While some of the patients show no or hardly any long-term impairments, other affected individuals show substantial neurocognitive deficits with a clear decline in psychosocial functioning. Which factors influence the course of the disease is the subject of current research efforts.

OBJECTIVE

This review presents the long-term course of bipolar disease and the factors influencing it. In particular, differential trajectory types are discussed. The cognitive and psychosocial functional level as well as the psychopathological characteristics of the disease are elucidated. In addition, biological factors and treatment approaches influencing the course and prognosis are identified.

MATERIAL AND METHODS

Literature search using PubMed focusing on longitudinal studies over several years (see online supplement).

RESULTS

To date, there are only a few predictors and biomarkers that allow prediction of long-term progression. None have been sufficiently studied to enable clinical use. Appropriate pharmacological and psychotherapeutic treatment of those affected is essential to avoid renewed episodes of the disease.

DISCUSSION

The long-term course of bipolar disorder is highly heterogeneous and multifaceted. Despite intensive research efforts, no predictors have yet been identified that reliably predict the clinical course. This makes further research all the more important in order to offer individualized therapy options, develop new therapies and positively influence the course of the disease at an early stage.

Clinical characteristics and functioning of adults with bipolar I disorder: Evidence from the mental and substance use disorders prevalence study

BACKGROUND

Knowledge of clinical, treatment and life circumstances of individuals with bipolar I disorder (BP-I) in US households is informed by decades old epidemiological surveys.

METHODS

The Mental and Substance Use Disorders Prevalence Study was conducted October 2020-October 2022. Clinicians administered the Structured Clinical Interview for the DSM-5 diagnosing 12-month prevalence of BP-I and other mental health disorders (MHD) among 4764 adults aged 18-65 years and collected sociodemographic information. We examined clinical characteristics, differences by sex and age among adults with BP-I, and compared adults with BP-I versus no MHD regarding sociodemographic characteristics, functioning, and substance use disorders (SUDs).

RESULTS

Prevalence of BP-I in the MDPS was 1.5 %. Among those with BP-I, 73.4 % had comorbid psychiatric disorders, and 43.4 % had comorbid SUDs. Alcohol use disorder was higher in those with BP-I versus no MHD (33.0 % vs. 6.3 %). Mean Global Assessment of Functioning scores were lower among those with BP-I versus no MHD (53.2 vs. 77.0). Of individuals with BP-I, 64.9 % had past-year outpatient, 5.4 % inpatient, and 18.7 % minimally adequate treatment (≥1 antimanic agent and ≥ 4 outpatient visits). Individuals with BP-I were less likely to be employed (37.3 % vs. 63.0 %) and have a family income ≥$20,000 (48.2 % vs. 81.9 %) versus no MDPS MHD.

LIMITATIONS

The survey response rate was low.

CONCLUSIONS

In this sample, many individuals with BP-I had psychiatric and SUD comorbidities, lived in poverty and had functional impairment. Few received adequate treatment; women and younger individuals were particularly disadvantaged. Early detection and treatment represent substantial opportunities to improve outcomes.

Clinical, sociodemographic and environmental predicting factors for relapse in bipolar disorder: A systematic review

INTRODUCTION

Bipolar disorder (BD) is a chronic and recurrent illness characterized by manic, mixed or depressive episodes, alternated with periods of euthymia. Several prognostic factors are associated with higher rates of relapse, which is crucial for the identification of high-risk individuals. This study aimed at systematically reviewing the existing literature regarding the impact of sociodemographic, clinical and environmental factors, in clinical relapses, recurrences and hospitalizations due to mood episodes in BD.

METHODS

A systematic search of electronic databases (PubMed, Cochrane library and Web of Science) was conducted to integrate current evidence about the impact of specific risk factors in these outcomes.

RESULTS

Fifty-eight articles met the inclusion criteria. Studies were grouped by the type of factors assessed. Family and personal psychiatric history, more severe previous episodes, earlier age of onset, and history of rapid cycling are associated with clinical relapses, along with lower global functioning and cognitive impairments. Unemployment, low educational status, poorer social adjustment and life events are also associated with higher frequency of episodes, and cannabis with a higher likelihood for rehospitalization.

LIMITATIONS

Small sample sizes, absence of randomized clinical trials, diverse follow-up periods, lack of control for some confounding factors, heterogeneous study designs and diverse clinical outcomes.

CONCLUSIONS

Although current evidence remains controversial, several factors have been associated with an impaired prognosis, which might allow clinicians to identify patients at higher risk for adverse clinical outcomes and find modifiable factors. Further research is needed to elucidate the impact of each risk factor in the mentioned outcomes.

Effect of long-acting injectable antipsychotics on 1-year hospitalization in bipolar disorder: a mirror-image study

Long-acting injectable (LAI) antipsychotics are often used for the long-term management also of bipolar disorder (BD). Nonetheless, evidence on their effect on pragmatic outcomes such as hospitalization risk in BD is inconsistent. We carried out a mirror-image study comparing rates and number of days of hospitalization, one year before and after the initiation of LAI treatment, in a sample of subjects with BD. Participants were selected from the STAR Network Depot Study, a pragmatic, observational, multicenter research involving a cohort of inpatients and outpatients consecutively started on LAI treatment. Variations in rates and in total number of days of hospitalization between the 12 months before and those after treatment initiation were analyzed. Among 461 individuals screened for eligibility, we included 71 adults with BD, initiated either on first- (FGA) or second-generation (SGA) LAIs. We found a significant decrease in terms of 12-month hospitalization rates (p < 0.001) and number of days (p < 0.001) after LAI initiation, without any effect by age, gender, alcohol/substance use disorders, and symptom severity. Subgroup analyses based on antipsychotic class, history of LAI treatment, and concomitant oral medications, confirmed the decreasing trend on both hospitalization rates and number of days. However, these reductions were not significant among participants who continued this treatment for less than 6 months. Comprehensively, this study supports the role of LAIs as effective maintenance treatment options for BD. Further research is needed to identify clinical characteristics of people with BD who would most benefit from long-acting formulations of antipsychotics.

Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder

Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42-13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48-6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone.

Internalized-stigma and dissociative experiences in bipolar disorder

INTRODUCTION

Dissociative symptoms have been recently related to bipolar disorder (BD) symptomatology. Moreover, the disease burden carries on a share of perceived self-stigma that amplifies the BD impairment. Internalized stigma and dissociative symptoms often seem overlapping, leading toward common outcomes, with reduced treatment seeking and poor adherence. We hypothesize a potential relationship between dissociation and self-stigma in patients suffering from BD.

MATERIALS AND METHODS

In this cross-sectional study we enrolled a total of 120 adult clinically stable BD outpatients. All participants completed the Internalized Stigma of Mental Illness (ISMI), Dissociative Experiences Scale-II (DES-II), and Manchester Short Assessment of Quality of Life (MANSA).

RESULTS

Average age and age at BD (BD-I n = 66, 55%; BD-II n = 54, 45%) onset were 46.14 (±4.23), and 27.45 (±10.35) years, with mean disease duration of 18.56 (±13.08) years. Most participants were female (n = 71; 59.2%) and 40 (33%) of them experienced lifetime abuse, with an average of 1.05 (±0.78) suicide attempts. DES scores (mean 31.8, ±21.6) correlated with ISMI total-score, with significant association with spikes in Alienation (13.1, SD±3.1) (p < 0.001) and Stereotype (13.8, SD±3.9) (p < 0.001). Linear regression analysis has shown a significant association between DES total score and alienation (p < 0.001), stereotype (p < 0.001) and MANSA total-score (p < 0.001).

DISCUSSION

For the first time, our data suggests that self-stigma is associated to dissociative symptoms, reducing overall quality of life in BD. The early identification of at-risk patients with previous lifetime abuse and high perceived stigma could lead the way for an ever more precise tailoring of treatment management.

Observed psychopathology in offspring of parents with major depressive disorder, bipolar disorder and schizophrenia

BACKGROUND

Children of parents with mood and psychotic disorders are at elevated risk for a range of behavioral and emotional problems. However, as the usual reporter of psychopathology in children is the parent, reports of early problems in children of parents with mood and psychotic disorders may be biased by the parents' own experience of mental illness and their mental state.

METHODS

Independent observers rated psychopathology using the Test Observation Form in 378 children and youth between the ages of 4 and 24 (mean = 11.01, s.d. = 4.40) who had a parent with major depressive disorder, bipolar disorder, schizophrenia, or no history of mood and psychotic disorders.

RESULTS

Observed attentional problems were elevated in offspring of parents with major depressive disorder, bipolar disorder and schizophrenia (effect sizes ranging between 0.31 and 0.56). Oppositional behavior and language/thought problems showed variable degrees of elevation (effect sizes 0.17 to 0.57) across the three high-risk groups, with the greatest difficulties observed in offspring of parents with bipolar disorder. Observed anxiety was increased in offspring of parents with major depressive disorder and bipolar disorder (effect sizes 0.19 and 0.25 respectively) but not in offspring of parents with schizophrenia.

CONCLUSIONS

Our results suggest that externalizing problems and cognitive and language difficulties may represent a general manifestation of familial risk for mood and psychotic disorders, while anxiety may be a specific marker of liability for mood disorders. Observer assessment may improve early identification of risk and selection of youth who may benefit from targeted prevention.