Duration of untreated illness and bipolar disorder: time for a new definition? Results from a cross-sectional study

Hospital-treated bipolar disorder in adolescence in Finland 1980-2010: Rehospitalizations, diagnostic stability, and mortality

AIMS

Estimates of the occurrence of bipolar disorder among adolescents vary from country to country and from time to time. Long delays from first symptoms to diagnosis of bipolar disorder have been suggested. Studies among adults suggest increased mortality, particularly due to suicide and cardiovascular diseases. We set out to study the prognosis of adolescent onset bipolar disorder in terms of rehospitalizations, diagnostic stability, and mortality.

METHODS

The study comprised a register-based follow-up of all adolescents admitted to psychiatric inpatient care for the first time in their lives at age 13-17 during the period 1980-2010. They were followed up in the National Care Register for Health Care and Causes of death registers until 31 December 2014.

RESULTS

Incidence of bipolar disorder among 13- to 17-year-old adolescents over the whole study period was 2.8 per 100, 000 same aged adolescents, and across decades, the incidence increased six-fold. Patients with bipolar disorder during their first-ever inpatient treatment were rehospitalized more often than those treated for other reasons. Conversion from bipolar disorder to other diagnoses was far more common than the opposite. Mortality did not differ between those firstdiagnosed with bipolar disorder and those treated for other reasons.

CONCLUSION

The incidence of adolescent onset bipolar disorder has increased across decades. The present study does not call for attention to delayed diagnosis of bipolar disorder. Adolescent onset bipolar disorders are severe disorders that often require rehospitalization, but diagnostic stability is modest. Mortality is comparable to that in other equally serious disorders.

Lithium: Fifteen Years Later

BACKGROUND

The 75th anniversary of introducing lithium into modern psychiatry is recognized, attested by the 1949 paper of John Cade. About this event, my editorial in the special 2010 issue of Neuropsychobiology was titled "Lithium: Sixty Years Thereafter." Since then, fifteen more years have brought further information about lithium. This paper makes a narrative review of the most important articles published in this period.

SUMMARY

The selected key literature of 2010-2024 addressed lithium prophylactic efficacy in bipolar disorder (BD), including pediatric, recurrent depression, and lithium augmentation of antidepressants in treatment-resistant depression (TRD). Novel data have been obtained for lithium adverse effects (kidney, thyroid) and beneficial outcomes of long-term lithium administration (anti-suicidal, neuroprotective, antiviral, and others). The results on the mechanisms of lithium action covered genetic investigations of the Consortium of Lithium Genetics (ConLiGen) and in vitro studies with induced pluripotent stem cells and lymphoblastoid cell lines. The underutilization of lithium nowadays was emphasized, and the ways to overcome it were considered.

KEY MESSAGES

Lithium remains the choice drug for recurrence prevention in BD, also in adolescents, and a significant option for augmentation of antidepressants in TRD. The adverse side effects should be carefully followed and managed according to current guidelines. There are also beneficial lithium impacts, of which anti-suicidal and anti-dementia seem the most important. Most of the results of neurobiological studies on lithium mechanisms may be related to lithium response and some (e.g., immunomodulatory) to the pathogenesis of BD. Better education about lithium could make more patients the beneficiary of this drug.

Advancing Mental Health Research Through Strategic Integration of Transdiagnostic Dimensions and Genomics

Genome-wide studies are yielding a growing catalog of common and rare variants that confer risk for psychopathology. However, despite representing unprecedented progress, emerging data also indicate that the full promise of psychiatric genetics-including understanding pathophysiology and improving personalized care-will not be fully realized by targeting traditional dichotomous diagnostic categories. The current article provides reflections on themes that emerged from a 2021 National Institute of Mental Health-sponsored conference convened to address strategies for the evolving field of psychiatric genetics. As anticipated by the National Institute of Mental Health's Research Domain Criteria framework, multilevel investigations of dimensional and transdiagnostic phenotypes, particularly when integrated with biobanks and big data, will be critical to advancing knowledge. The path forward will also require more diverse representation in source studies. Additionally, progress will be catalyzed by a range of converging approaches, including capitalizing on computational methods, pursuing biological insights, working within a developmental framework, and engaging health care systems and patient communities.

Exploring the role of TNF-α, TGF-β, and IL-6 serum levels in categorical and noncategorical models of mood and psychosis

Psychotic and mood disorders are discussed as part of the same continuum. The potential role of immune dysregulation in defining their clinical presentations, however, remains unclear. Differences in TNF-α, IL-6 and TGF-β levels were investigated in 143 patients with schizophrenia (SCH = 63) and bipolar disorder (BD = 80), in remission. Cytokines were evaluated against the dimensional assessment of psychosis and affective symptoms using the schizo-bipolar scale, together with the severity of the same symptom domains measured by the brief psychiatric rating scale (BPRS). Lower TGF-β was associated with more lifetime episodes, family risk for psychosis, and more severe mood and psychotic symptoms in all patients. BPRS Affect symptoms domain correlated with lower TGF-β levels in BD, and higher TGF-β levels in SCH patients. Using moderated mediation analysis, TGF-β was a relevant predictor only in the setting of non-categorical symptom distribution, with familial risk for psychosis confirmed as a significant moderator. Severity of BPRS Affect symptoms domain was an independent predictor of inclination towards the psychosis spectrum. The underlying immune dysregulation may be shared by the disorders, rather than a unique characteristic of each, having significant implications for our understanding of the continuum vs. categorical approach to psychosis and mood disorders.

The progression trajectory of Bipolar Disorder: results from the application of a staging model over a ten-year observation

BACKGROUND

Trying to better define Bipolar Disorder (BD) progression, different staging models have been conceptualized, each one emphasizing different aspects of illness. In a previous article we retrospectively applied the main staging models to a sample of 100 bipolar patients at four time points over a ten-year observation. In the present study, focusing on Kupka & Hillegers's model, we aimed to assess the transition of the same sample through the different stages of illness and to explore the potential role of clinical variables on the risk of progression.

METHODS

Multistate Model using the mstate package in R and Markov model with stratified hazards were used for statistical analysis.

RESULTS

A high hazard of transition from stage 2 to 3 emerged, with a probability of staying in stage 2 decreasing to 14 % after 3 years. BD II was significantly associated with transition from stage 1 to 2, whereas the number of lifetime episodes >3 and the elevated predominant polarity with transition from stage 3 to 4.

CONCLUSION

Our results corroborated the evidence on BD progression and contributed to outline its trajectory over time. Further effort may help to define a standardized staging approach towards ever increasing tailored interventions.

New Advances in the Pharmacology and Toxicology of Lithium: A Neurobiologically Oriented Overview

Over the last six decades, lithium has been considered the gold standard treatment for the long-term management of bipolar disorder due to its efficacy in preventing both manic and depressive episodes as well as suicidal behaviors. Nevertheless, despite numerous observed effects on various cellular pathways and biologic systems, the precise mechanism through which lithium stabilizes mood remains elusive. Furthermore, there is recent support for the therapeutic potential of lithium in other brain diseases. This review offers a comprehensive examination of contemporary understanding and predominant theories concerning the diverse mechanisms underlying lithium's effects. These findings are based on investigations utilizing cellular and animal models of neurodegenerative and psychiatric disorders. Recent studies have provided additional support for the significance of glycogen synthase kinase-3 (GSK3) inhibition as a crucial mechanism. Furthermore, research has shed more light on the interconnections between GSK3-mediated neuroprotective, antioxidant, and neuroplasticity processes. Moreover, recent advancements in animal and human models have provided valuable insights into how lithium-induced modifications at the homeostatic synaptic plasticity level may play a pivotal role in its clinical effectiveness. We focused on findings from translational studies suggesting that lithium may interface with microRNA expression. Finally, we are exploring the repurposing potential of lithium beyond bipolar disorder. These recent findings on the therapeutic mechanisms of lithium have provided important clues toward developing predictive models of response to lithium treatment and identifying new biologic targets. SIGNIFICANCE STATEMENT: Lithium is the drug of choice for the treatment of bipolar disorder, but its mechanism of action in stabilizing mood remains elusive. This review presents the latest evidence on lithium's various mechanisms of action. Recent evidence has strengthened glycogen synthase kinase-3 (GSK3) inhibition, changes at the level of homeostatic synaptic plasticity, and regulation of microRNA expression as key mechanisms, providing an intriguing perspective that may help bridge the mechanistic gap between molecular functions and its clinical efficacy as a mood stabilizer.

Basic quality indicators for clinical care of patients with major depression, schizophrenia, and bipolar disorder

OBJECTIVE

To identify a set of indicators to monitor the quality of care for patients with major depression, schizophrenia, or bipolar disorder.

METHODS

A group of 10 experts selected the most automatically applicable indicators from a total of 98 identified in a previous study. Five online sessions and 5 discussion meetings were performed to select the indicators that met theoretical feasibility criteria automatically. Subsequently, feasibility was tested in a pilot study conducted in two hospitals of the Spanish Health Service.

RESULTS

After evaluating its measurement possibilities in the Spanish Health Service, and the fulfillment of all the quality premises defined, 16 indicators were selected. Three were indicators of major depression, 5 of schizophrenia, 3 of bipolar disorder, and 5 indicators common to all three pathologies. They included measures related to patient safety, maintenance and follow-up of treatment, therapeutic adherence, and adequacy of hospital admissions. After the pilot study, 5 indicators demonstrated potential in the automatic generation of results, with 3 of them related to treatments (clozapine in schizophrenia, lithium for bipolar disorder, and valproate in women of childbearing age).

CONCLUSIONS

Indicators support the monitoring of the quality of treatment of patients with major depression, schizophrenia, or bipolar disorder. Based on this proposal, each care setting can draw up a balanced scorecard adjusted to its priorities and care objectives, which will allow for comparison between centers.

Correlates of long duration of untreated illness (DUI) in patients with bipolar disorder: results of an observational study

BACKGROUND

Despite a high number of studies investigating the correlation between long Duration of Untreated Illness (DUI) and poor course of Bipolar Disorder (BD), the results concerning the impact of DUI on some specific factors, such as suicidality and medical comorbidities, are still inconsistent. This cross-sectional observational study aimed at analyzing potential socio-demographic and clinical correlates of long DUI in a large cohort of real-world, well-characterized BD patients.

METHODS

The socio-demographic and clinical characteristics of 897 patients with BD were collected. The sample was divided for analysis in two groups (short DUI vs long DUI) according to a DUI cutoff of 2 years. Comparisons were performed using χ2 tests for categorical variables and the Kruskal-Wallis test for continuous variables. Logistic regression (LogReg) was used to identify explanatory variables associated with DUI (dependent variable).

RESULTS

Six-hundred and sixty patients (75.5%) presented long DUI (> 2 years) and mean DUI was 15.7 years. The LogReg analysis confirmed the association of long DUI with bipolar II disorder (p: 0.016), lower age at onset (p < 0.001), depressive predominant polarity (p: 0.018), depressive polarity onset (p < 0.001), longer duration of illness (p < 0.001), lifetime suicide attempts (p: 0.045) and current medical comorbidities (p: 0.019).

CONCLUSIONS

The present study confirms the association between long DUI and higher risk of suicide attempts in patients with BD. Moreover, an association between long DUI and higher rates of medical conditions has been found.

Longer illness duration is associated with greater individual variability in functional brain activity in Schizophrenia, but not bipolar disorder

BACKGROUND

Individuals with schizophrenia exhibit greater inter-patient variability in functional brain activity during neurocognitive task performance. Some studies have shown associations of age and illness duration with brain function; however, the association of these variables with variability in brain function activity is not known. In order to better understand the progressive effects of age and illness duration across disorders, we examined the relationship with individual variability in brain activity.

METHODS

Neuroimaging and behavioural data were extracted from harmonized datasets collectively including 212 control participants, 107 individuals with bipolar disorder, and 232 individuals with schizophrenia (total n = 551). Functional activity in response to an N-back working memory task (2-back vs 1-back) was examined. Individual variability was quantified via the correlational distance of fMRI activity between participants; mean correlational distance of one participant in relation to all others was defined as a 'variability score'.

RESULTS

Greater individual variability was found in the schizophrenia group compared to the bipolar disorder and control groups (p = 1.52e-09). Individual variability was significantly associated with aging (p = 0.027), however, this relationship was not different across diagnostic groups. In contrast, in the schizophrenia sample only, a longer illness duration was associated with increased variability (p = 0.027).

CONCLUSION

An increase in variability was observed in the schizophrenia group related to illness duration, beyond the effects of normal aging, implying illness-related deterioration of cognitive networks. This has clinical implications for considering long-term trajectories in schizophrenia and progressive neural and cognitive decline which may be amiable to novel treatments.

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.

Clinical and psychopathological correlates of duration of untreated illness (DUI) in affective spectrum disorders

Affective disorders represent psychopathological entities lying on a continuum, characterized by high prevalence and functional impairment. A delay in treatment initiation might increase the burden associated with affective spectrum disorders. The present study was aimed at analyzing the correlates of a long duration of untreated illness (DUI) in these conditions. We recruited subjects diagnosed with affective disorders, both in- and outpatients, and collected information concerning socio-demographic, clinical, and psychopathological characteristics. Long DUI was defined according to previous research criteria as >2 years for Bipolar Disorders or >1 year for Depressive Disorders. Bivariate analyses were performed to compare subjects with a long and short DUI (p<0.05). A logistic regression was operated to evaluate the correlates of long DUI. In the present sample (n=135), 34.1% (n=46) subjects showed a long DUI. This subgroup presented with more physical comorbidities (p=0.003), higher body mass index (BMI) (p<0.001), more frequent anxiety onset (p=0.018), younger onset age (p=0.042), and more severe depressive symptoms (Hamilton Depression Rating Scale item 1-depressed mood (p=0.032) and item 2-guilt feelings (p=0.018)). At the logistic regression, higher severity of depressed mood (OR 1.568), higher BMI (OR 1.264), and younger age at onset (OR 0.935) were associated with long DUI. The present study confirmed a possible role of DUI as a construct underpinning higher clinical severity in affective spectrum disorders, possibly linked to worse illness course and unfavorable outcomes. Intervention strategies targeting physical comorbidities and depressive symptoms severity may decrease disease burden in subjects with a long DUI.

Undetermined predominant polarity in a cohort of bipolar disorder patients: Prevalent, severe, and overlooked

OBJECTIVES

Predominant polarity (PP) is a concept used to define patients with bipolar disorder (BD) as presenting a tendency to manifest depressive (DPP) or manic (MPP) episodes. Still, the high percentage of patients with an undetermined PP (UPP), has been overlooked in most studies. Thus, we aimed to study UPP and outline its socio-demographic, clinical, and treatment-related features.

METHODS

Patients were recruited from a BD specialized unit. The sample was divided into three groups according to PP and socio-demographic and clinical variables were compared. Significant variables at univariate comparisons were included in multivariate logistic regression with UPP as the dependent variable.

RESULTS

A total of 708 BD patients were included, of which 437 with UPP (61.7%). UPP was associated with a higher number of affective relapses, when compared with DPP or MPP (χ2= 28.704, p<0.001). Mixed episodes (OR=1.398; CI=1.118-1.749), aggressive behaviour (OR=1.861; CI=1.190-2.913), seasonality (OR=2.025; CI= 1.289-3.501) and treatment with lamotrigine (OR= 2.101; CI=1.244-3.550) were significantly associated with UPP at the logistic regression.

LIMITATIONS

Recall bias may have occurred due to mixed episode diagnostic criteria change over the years. No data on the patients' follow-up has been reported on predominant polarity changes.

CONCLUSIONS

UPP is associated with a higher number of relapses, and different clinical variables related to a severe course of illness. Considering PP in patients with BD may guide the choice for differential treatment approaches having an impact on BD course of illness and patients' prognosis and recovery.

Sex Differences in Bipolar Disorders: Impact on Psychopathological Features and Treatment Response

INTRODUCTION

Sex differences were demonstrated in bipolar disorders (BD) concerning epidemiological, clinical, and psychopathological characteristics, but consensus is lacking. Moreover, data concerning the influence of sex on treatment response in BD is contrasting. The present cross-sectional study aimed to analyze sex differences in a population of BD subjects, with specific focus on psychopathological features and treatment response.

MATERIALS AND METHODS

Subjects diagnosed with BD according to the Diagnostic and Statistical Manual of Mental Disorders, 5th version (DSM-5) were recruited. Socio-demographic and clinical characteristics were collected. The Hamilton Rating Scale for Depression, the Mania Rating Scale (MRS), the brief version of the Temperament Evaluation of Memphis, Pisa and San Diego-Münster version (briefTEMPS-M), and the Barratt Impulsiveness Scale-11 items (BIS-11) were used for psychopathological assessment. Treatment response was appraised with the Alda Scale. We performed bivariate analyses to compare socio-demographic, clinical, and psychopathological characteristics between men and women (p < 0.05). A logistic regression was run to analyze features that were significantly associated with female sex.

RESULTS

Among the recruited 219 BD subjects, 119 (54.3%) were females. Women had a lower scholarity (p = 0.015) and were less frequently employed (p = 0.001). As for psychopathological features, a higher MRS total score (p < 0.001) was detected among women, as well as higher BIS-11 total score (p = 0.040), and briefTEMPS-M score for anxious temperament (p = 0.006). Men showed higher prevalence of DSM-5 mixed features (p = 0.025), particularly during a depressive episode (p = 0.014). Women reported longer duration of untreated illness (DUI) (p < 0.001). There were no sex differences in the Alda Scale total score when considering the whole sample, but this was significantly higher among men (p = 0.030) when evaluating subjects treated with anticonvulsants. At the logistic regression, female sex was positively associated with longer DUI (p < 0.001; OR 1.106, 95% CI 1.050-1.165) and higher MRS total score (p < 0.001; OR 1.085, 95% CI 1.044-1.128) and negatively associated with employment (p = 0.003; OR 0.359, 95% CI 0.185-0.698) and DSM-5 mixed features (p = 0.006; OR 0.391, 95% CI 0.200-0.762).

CONCLUSIONS

The clinical presentation of BD may differ depending on sex. The severity of BD should not be neglected among women, who may also display worse treatment response to anticonvulsants.