Kupka, Ralph

Abstract Background The Global Bipolar Cohort (GBC) was established to identify existing bipolar disorder (BD) cohorts worldwide and foster collaborations focused on descriptive and analytic outcomes relevant to BD. A distributed analytic framework has been implemented to engage multiple sites without the need for central data pooling. This report describes the GBC endeavor and global functional impairment patterns. Cross-cohort comparisons of functional correlates are limited by heterogeneous measures and data-sharing constraints. Large, culturally diverse comparisons are needed to distinguish broadly reproducible correlates from cohort-specific effects. Participating sites completed a 28-item descriptive survey covering diagnostic methods, cognition, genetics, treatment, functioning, and follow-up strategies. We implemented a harmonized local logistic regression model of dichotomized functional outcome and shared summary statistics only. Results We identified 69 cohorts across five continents. Thirty-seven cohorts contributed functional outcome analyses from 17,130 participants. Outcome measures included clinician-rated disability scales and social indicators such as employment and marital status. The proportion classified with poor functioning ranged from 16% to 77% (mean 50%). In 32 of 37 cohorts, the overall regression model significantly explained variance in functioning. Current depressive symptoms were the most robust and reproducible correlate of poor functional outcome: they were assessed in 29 cohorts, significant in 22 (75.8%), ranked among the top three correlates in 22, and were the top-ranked correlates in 19. Associations between depressive burden and poor functioning were observed across clinician-rated disability scales and work or social indicators, and across geographically diverse cohorts. Comorbid substance use disorder and medication-related variables were associated with poorer functioning in subsets of cohorts, whereas sex, ancestry, bipolar subtype, psychosis history, and premorbid IQ showed weak or inconsistent associations. Cognitive measures, available in a minority of regression models, showed modest and non-uniform effects. Conclusions Across heterogeneous international cohorts, current depressive symptom burden emerged as the most consistent correlate of poor functioning in bipolar disorder. These findings replicate earlier multisite work at a larger scale, show that protocol-based distributed analyses can identify reproducible clinical signals without sharing individual-level data, and support prioritizing detection and treatment of depressive symptoms when aiming to improve real-world functioning. Future work should expand longitudinal harmonization and representation of under-studied populations.

Summary The American Society of Clinical Psychopharmacology convened a 45-member international expert task force to identify circumstances supporting the deprescribing of core psychotropic medications for major depressive disorder (MDD) and bipolar disorders. Three Delphi survey rounds plus a selective literature review identified points of consensus (predefined as ≥75% agreement) about when antidepressant, antipsychotic, mood stabiliser and sedative-hypnotic deprescribing is warranted. Twenty out of 32 statements (63%) achieved consensus across seven thematic areas. In MDD, panellists favoured discontinuing antidepressants when mechanisms of action are duplicative, adequate trials produce ≤25% improvement or loss of prior efficacy cannot be regained through dose increases or augmentations. Indefinite antidepressant maintenance in MDD was favoured after three or more lifetime episodes. In bipolar disorder, antidepressant deprescribing was favoured in the setting of rapid cycling, mixed features or emerging mania/hypomania symptoms; and discouraged if prior antidepressant cessation led to relapse. In nonpsychotic mood disorders, panellists favoured deprescribing antipsychotics that caused significant weight gain or tardive dyskinesia over adding pharmacological antidotes. Deprescribing to achieve an eventual medication-free status was considered inappropriate, in bipolar type 1, but not necessarily bipolar type 2 disorder. Although individualised circumstances necessarily inform psychopharmacology management, clinical presentations that misalign with existing pharmacotherapies may signal the desirability of cautious deprescribing.

Importance There is a need for greater recognition of clinical psychopharmacology endpoints, including instances where specific psychotropic medications may become unnecessary, redundant, contradictory, or otherwise inappropriate and therefore merit deprescribing. Objective To address circumstances warranting psychotropic medication deprescribing. Evidence Review The American Society of Clinical Psychopharmacology convened a panel of 45 international psychopharmacology experts who developed and completed a multiround Delphi survey and conducted a focused literature review between January and May of 2025, in order to identify areas of consensus or disagreement on key aspects of the deprescribing of psychotropic medications. These included collaborative risk-benefit assessments with patients; pharmacokinetic and pharmacodynamic factors; pharmacogenomics; distinguishing redundant or conflictual from complementary mechanisms of action; managing adverse effects; assuring medication adherence; drug tolerance or tachyphylaxis; medication misuse; and the psychological context and ramifications of deprescribing. Findings Consensus was achieved on 44 of 50 final Delphi statements (88%). Panelists unanimously agreed that components of a pharmacotherapy regimen should undergo periodic review to ensure that treatments target relevant symptoms and have favorable risk-benefit ratios. Key points of consensus were that deprescribing: (1) should not occur without first assessing medication adherence; (2) merits consideration if less than partial therapeutic response is apparent, or if treatment goals have been reached and relapse prevention is not a long-term objective; (3) involves psychological ramifications that warrant attention; (4) should be followed by close clinical monitoring; and (5) risk-benefit decisions should ideally involve active patient participation within a shared decision-making model. Conclusions and Relevance Through this Consensus Statement, the Task Force identified circumstances in which the selective elimination of certain psychotropic medications may be clinically indicated. Empirical trials are needed to assess the implementation of deprescribing protocols and gauge their safe, effective, and acceptable outcomes.

Abstract Background: While bipolar disorder is strongly linked to an increased risk of suicide, recent evidence has challenged the assumption that mixed symptoms play a distinct role in suicidal ideation beyond depressive severity. This study examines how depressive, hypo/manic, and mixed features influence suicidal ideation in individuals with bipolar disorder. Data from 903 participants in the Stanley Foundation Bipolar Network (1995–2002) were analyzed to assess associations between mood states, classified by the Inventory of Depressive Symptomatology–Clinician-Rated (IDS-C) and the Young Mania Rating Scale (YMRS), and suicidal ideation, measured using IDS-C item 18, using generalized estimating equations. Results: Depressive symptoms were strongly associated with suicidal ideation (OR = 21.98, 95% CI: 15.31–31.54). Moderate hypo/manic symptoms also conferred risk (OR = 3.11, 95% CI: 1.51–6.49), and milder hypo/mania showed a weaker but significant association (OR = 1.74, 95% CI: 1.05–2.89). The highest suicidal ideation was observed in individuals with hypo/mania featuring mixed symptoms (OR = 29.43), exceeding that of depression or depression with mixed features (OR = 21.98). However, findings diverged based on modeling approach: in continuous predictor models, SI was driven solely by depressive symptom severity, with no significant association observed for hypo/mania or its interaction with depression. In contrast, when mood states were categorized using clinically meaningful thresholds, hypo/mania with mixed features emerged as a distinct contributor to suicidal ideation risk. Conclusion: These findings underscore the need for integrating both dimensional and categorical approaches to mood state classification in research on suicidality in bipolar disorder.

ObjectiveBipolar disorder has a wide range of clinical manifestations which may progress over time. The aim of this study was to test the applicability of a clinical staging model for bipolar disorder and to gain insight into the nature of the variables influencing progression through consecutive stages.MethodsUsing retrospectively reported longitudinal life chart data of 99 subjects from the Stanley Foundation Bipolar Network Naturalistic Follow‐up Study, the occurrence, duration and timely sequence of stages 2‐4 were determined per month. A multi‐state model was used to calculate progression rates and identify determinants of illness progression. Stages 0, 1 and several other variables were added to the multi‐state model to determine their influence on the progression rates.ResultsFive years after onset of BD (stage 2), 72% reached stage 3 (recurrent episodes) and 21% had reached stage 4 (continuous episodes), of whom 8% recovered back to stage 3. The progression from stage 2 to 3 was increased by a biphasic onset for both the depression‐mania and the mania‐depression course and by male sex.ConclusionsStaging is a useful model to determine illness progression in longitudinal life chart data. Variables influencing transition rates were successfully identified.

Introduction Instead of the typical assessment of risk of illness in the offspring based on a parent with bipolar disorder, we explored the potential multigenerational conveyance across several disorders of the vulnerability to illness in the offspring of a patient with bipolar disorder. Methods A total of 968 outpatients (average age 41 years) with bipolar illness gave informed consent and filled out a detailed questionnaire about a family history in their parents, grandparents, and offspring of: depression; bipolar disorder; alcohol abuse; substance abuse; suicide attempt; or “other” illness. Of those with children, 346 were from the USA and 132 were from Europe. Amount and type of illness in progenitors in two and three previous generations were related to offspring illness. Results The type of illness seen in both prior generations was associated with the same type of illness in the offspring of a bipolar patient, including depression, bipolar disorder, alcohol and substance abuse and “other” illness, but not suicide attempts. There was an impact of multiple generations, such that depression in grandparents and/or great‐grandparents increased the risk of depression in the offspring from 12.6% to 41.4%. Conclusions A family history of illness burden in prior generations was previously related to an earlier age of onset of bipolar illness in our adult patients with bipolar disorder and is now also found to be related to the incidence of multiple psychiatric illnesses in their offspring. Genetic and epigenetic mechanisms deserve consideration for this multigenerational conveyance of illness vulnerability, and clinical and public health attempts to prevent or slow this transmission are indicated.

Abstract The relationship of personality disorder (PD) psychopathology to the course of bipolar disorder remains inadequately described. After giving informed consent, more than 782 outpatients with bipolar disorder rated themselves on the 99-item Personality Disorder Questionnaire, Version 4 (PDQ4) when depressed or euthymic. They also rated six poor prognosis factors (PPFs). The relationships of the PPFs to the total PDQ4 score were examined by a linear regression. Even after correcting for the higher PDQ4 scores observed when patients were suffering depression, the PDQ4 was significantly related to a history of child abuse, early age of onset, an anxiety disorder comorbidity, rapid cycling, and 20 or more previous episodes, but not substance abuse. The data suggest close relationships between the total burden of PD psychopathology and correlates of an adverse outcome of bipolar disorder. The nature of this of association and approaches to treatment of comorbid PD remain to be further explored.

AbstractObjectivesA high incidence of Axis II personality disorders is described in patients with bipolar disorder; however, their relationship to mood state remains uncertain.MethodsA total of 966 outpatients with bipolar disorder gave informed consent and filled out the Personality Disorder Questionnaire, 4th edition (PDQ4) and a questionnaire on demographics and course of illness prior to Bipolar Treatment Outcome Network entry at average age 41 years. Patients were rated at each visit for depression on the Inventory of Depressive Symptoms‐Clinician version (IDS‐C) and for mania on the Young Mania Rating Scale (YMRS). In a subgroup, the PDQ4 was retaken during periods of depression and euthymia.ResultsPatients met criteria for most personality disorders at a much higher rate when they took the PDQ4 while depressed compared to while euthymic, and scores were significantly related to the severity of depression (IDS) and of mania (YMRS) assessed within 2 weeks of taking the PDQ. Even when euthymic, more than quarter to half of the patients met criteria for a cluster A, B or C personality disorder.ConclusionsA wide range of personality disorders occur in bipolar patients, but are highly dependent on filling out the form while depressed compared to while euthymic. How this relates to having a personality disorder assessed using a structured clinical interview remains to be tested. However, higher PDQ4 scores are related to an earlier age of onset of bipolar disorder and other factors portending a more difficult course of bipolar disorder, and the optimal treatment of these patients remains to be illuminated.