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ABSTRACT Objectives To investigate pharmacological treatment patterns in individuals with bipolar disorder (BD) with and without comorbid substance use disorder (SUD) and anxiety disorder (AX), we leveraged the Global Bipolar Cohort to analyze cross‐regional practices across North America, Europe, and the Pacific. Methods Fourteen cohorts contributed aggregate data on pharmacotherapy, demographics, diagnostic subtypes, and comorbidities. Proportional meta‐analyses using generalized linear mixed models were conducted to examine prescription trends and identify clinical differences. Results The sample ( N = 11,521) was 60% female and 84% Caucasian. Participants were categorized into four mutually exclusive groups based on comorbidity status: those with comorbid AX only, comorbid SUD only, both AX and SUD, or neither. The AX+SUD subgroup showed higher rates of attention‐deficit/hyperactivity disorder (ADHD), post‐traumatic stress disorder (PTSD), rapid cycling, obesity, and unemployment, reflecting a more severe clinical profile. Regional variations were notable: North American cohorts reported higher prevalence of AX and SUD than European and Pacific cohorts. Antidepressants use for AX were more common in Europe and the Pacific, while North American prescribing patterns were more variable. Benzodiazepine use was high among individuals with SUD across all regions. Lithium and first‐generation antipsychotic prescriptions varied, with higher rates observed in Europe. Conclusions Findings underscore the heterogeneity of BD and the influence of comorbid AX and SUD on illness burden and treatment. Regional prescribing variations underscore the need for context‐specific guidelines. Gaps in data on medication‐assisted treatment for SUD point to areas for future research. These insights can support more individualized and effective care for complex BD presentations.

11059 Background: Payments from the drug industry to oncologists are common and influence physicians’ prescribing decisions. However, whether payments affect the likelihood that patients receive optimal cancer treatment has not been assessed. Methods: This was a population-based cohort study. We used fee-for-service Medicare claims to identify patients with incident cancer diagnosis (new cancer diagnosis code after >= 1 year with no cancer diagnosis codes) from 2014-2020. We used National Comprehensive Cancer Network (NCCN) Guidelines to identify treatment scenarios (e.g., metastatic melanoma, stage III colon adjuvant therapy) with variation in the clinical benefit among recommended treatment options. The patient cohort corresponding to each scenario was identified using claims. We used NCCN Guidelines to identify the “optimal” treatment for each scenario (defined as the designated “preferred” treatment, with NCCN Evidence Blocks scores used for tiebreaks) at each time point across the study period. The primary outcome was whether a patient received the treatment that was, as of their diagnosis date, the optimal treatment for their cancer (vs. any non-optimal treatment). The primary exposure[s] were whether a patient’s medical oncologist received personal (“general”) payments (source: linked Open Payments data) related to 1) optimal treatment or 2) any non-optimal treatment, during the year prior to the patient’s cancer diagnosis. We fit Poisson-family generalized estimating equations, with physician-level clustering and adjustment for scenario, year, and patient characteristics, to estimate the relative risk (RR) of optimal treatment. Results: There were 14 clinical scenarios comprising 15,835 patients. There were 3,429 (21.7%) patients whose oncologist received payment for the optimal treatment, 4,891 (30.9%) for non-optimal payments, and 1,993 (12.6%) to both payment types. Oncologist receipt of payment for optimal treatment was associated with a greater likelihood (RR=1.07, 95%CI:1.01-1.13), and payment for non-optimal treatment was associated with lower likelihood (RR= 0.94, 95%CI:0.89-0.98) of patients receiving optimal treatment. Associations became stronger as payment dollar value increased; for optimal payments ≥$10,000, RR=1.26 (95%CI:1.02-1.57), and for non-optimal payments ≥$10,000, RR=0.70 (95%CI: 0.49-1.00). An estimated 41.6% of unexposed patients received optimal treatment; versus 52.6%, 29.3%, and 33.8% among patients exposed to ≥$10,000 of payments for optimal treatment only, ≥$10,000 non-optimal payments only, and ≥$10,000 of both payment types, respectively. Conclusions: Industry payments related to the optimal cancer treatment were associated with increased use of the optimal treatment. However, payments related to non-optimal treatments were more common and were associated with decreased use of optimal treatment.

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.

PURPOSE Despite evidence of diagnostic accuracy but unclear long-term clinical benefit, national utilization patterns of prostate-specific membrane antigen positron emission tomography (PSMA-PET) are undefined. METHODS We conducted a serial cross-sectional study to evaluate the use of PET imaging among commercial insurance beneficiaries with prostate cancer using administrative claims from deidentified Blue Cross Blue Shield Axis database. Eligible patients included prevalent and incident prostate cancer cases. We calculated the proportions undergoing PET imaging in semiannual periods from January 1, 2016, through December 31, 2024. We examined the association between regional-level contextual sociodemographic and health care characteristics, and regional use of PSMA-PET imaging in 2024. RESULTS A total of 514,750 male beneficiaries age 40-89 years with prostate cancer were identified between 2016 and 2024. The proportion of individuals with prostate cancer undergoing PET imaging increased from 4.5 [95% CI, 4.1 to 4.9] per 1,000 in the first half of 2016 to 77.6 (95% CI, 76.2 to 79.1) per 1,000 in the second half of 2024, P < .001. Increases in PET were driven by uptake of PSMA-PET following approval in 2021, which increased from 0.8 (95% CI, 0.6 to 0.9) per 1,000 in the second half of 2021 to 77.0 (95% CI, 75.5 to 78.5) per 1,000 in the second half of 2024, P < .001. PSMA-PET use in 2024 was higher in regions with greater education (99.3 v 114.6 per 1,000 in lowest [Q1] v highest [Q4] educated) and income (95.4 v 112.3 per 1,000 in Q1 v Q4 income) measures, P < .001. CONCLUSION PSMA-PET was rapidly incorporated into clinical practice among commercial insurance beneficiaries with prostate cancer with higher adoption in geographic regions with higher income and education.

ABSTRACT Suicidality contributes substantially to global morbidity and mortality, yet despite its heritability, its biological etiology remains largely elusive. We conducted multi-ancestry genome-wide association study meta-analyses of suicidal ideation (259,747 cases), suicide attempt (64,993 cases), suicide death (9,197 cases), and suicidal behavior (suicide attempt/ death, 75,300 cases), across 54 cohorts (e.g., the Psychiatric Genomics Consortium, Million Veteran Program, UK Biobank). We identified 77 significant loci across meta-analyses, including 59 previously unreported for suicidality. SNP-based heritability ranged from 2.0-6.7% and there were strong, yet incomplete, genetic correlations between suicidality phenotypes (0.70-0.88). Fine-mapping prioritized putative causal SNPs and 20 credible genes. Enrichment analyses implicated synaptic pathways and neuronal populations predominantly in subcortical brain regions (e.g., amygdala excitatory, medium spiny, hippocampal CA1-3). Together, these findings establish suicidality as a polygenic set of traits with both shared and distinct genetic influences, providing a foundation for future studies of suicide biology and etiology.

ABSTRACT Bipolar disorder’s (BD) clinical heterogeneity has an unresolved genetic basis. We meta-analyzed genome-wide association studies (GWAS) of 16 BD subphenotypes in 226,032 individuals from 57 cohorts (38,022 cases); 10 advanced to multivariate and multi-trait analyses. Four factors (compulsive, psychotic, dysregulated, internalizing) explained 82.8% of shared genetic variance. BD1 and BD2 loaded on distinct factors despite a high genetic correlation; 87.0% of common-factor loci were significant in neither subtype. Unipolar mania aligned with psychosis over internalizing, and was distinguishable from BD1, and rapid cycling showed heritable cross-domain liability. We identified 356 risk loci, 158 novel, including the first univariate-GWAS associations for psychosis, unipolar mania, rapid cycling and schizoaffective disorder—and 249 credible genes (89 high-confidence), 12 with approved-drug or clinical-phase annotations. Cell-type association showed a midbrain dopaminergic–GABAergic gradient along the psychotic factor. BD’s genetic architecture appears hierarchical—a general liability resolving into dimensions of course and comorbidity beyond diagnostic subtypes.

Abstract Background: Lithium (Li) remains the treatment of choice for bipolar disorders (BP). Its mood-stabilizing effects help reduce the long-term burden of mania, depression and suicide risk in patients with BP. It also has been shown to have beneficial effects on disease-associated conditions, including sleep and cardiovascular disorders. However, the individual responses to Li treatment vary within and between diagnostic subtypes of BP (e.g. BP-I and BP-II) according to the clinical presentation. Moreover, long-term Li treatment has been linked to adverse side-effects that are a cause of concern and non-adherence, including the risk of developing chronic medical conditions such as thyroid and renal disease. In recent years, studies by the Consortium on Lithium Genetics (ConLiGen) have uncovered a number of genetic factors that contribute to the variability in Li treatment response in patients with BP. Here, we leveraged the ConLiGen cohort (N=2,064) to investigate the genetic basis of Li effects in BP. For this, we studied how Li response and linked genes associate with the psychiatric symptoms and polygenic load for medical comorbidities, placing particular emphasis on identifying differences between BP-I and BP-II. Results: We found that clinical response to Li treatment, measured with the Alda scale, was associated with a diminished burden of mania, depression, substance and alcohol abuse, psychosis and suicidal ideation in patients with BP-I and, in patients with BP-II, of depression only. Our genetic analyses showed that a stronger clinical response to Li was modestly related to lower polygenic load for diabetes and hypertension in BP-I but not BP-II. Moreover, our results suggested that a number of genes that have been previously linked to Li response variability in BP differentially relate to the psychiatric symptomatology, particularly to the numbers of manic and depressive episodes, and to the polygenic load for comorbid conditions, including diabetes, hypertension and hypothyroidism. Conclusions: Taken together, our findings suggest that the effects of Li on symptomatology and comorbidity in BP are partially modulated by common genetic factors, with differential effects between BP-I and BP-II.

Abstract The Human Phenotype Ontology (HPO) is a widely used resource that comprehensively organizes and defines the phenotypic features of human disease, enabling computational inference and supporting genomic and phenotypic analyses through semantic similarity and machine learning algorithms. The HPO has widespread applications in clinical diagnostics and translational research, including genomic diagnostics, gene-disease discovery, and cohort analytics. In recent years, groups around the world have developed translations of the HPO from English to other languages, and the HPO browser has been internationalized, allowing users to view HPO term labels and in many cases synonyms and definitions in ten languages in addition to English. Since our last report, a total of 2239 new HPO terms and 49235 new HPO annotations were developed, many in collaboration with external groups in the fields of psychiatry, arthrogryposis, immunology and cardiology. The Medical Action Ontology (MAxO) is a new effort to model treatments and other measures taken for clinical management. Finally, the HPO consortium is contributing to efforts to integrate the HPO and the GA4GH Phenopacket Schema into electronic health records (EHRs) with the goal of more standardized and computable integration of rare disease data in EHRs.