Citations

ABSTRACT Background Sunlight has profound impacts on physical and mental health, beyond vision, including effects on circadian rhythms, alertness, mood, and sleep. A family history of any mood disorders is strongly associated with psychiatric disorders including bipolar disorder. The purpose of this study was to evaluate the association between a family history of any mood disorder in patients with bipolar I disorder and solar insolation at varied international onset locations. Methods Data for this analysis were available from 5842 patients with a diagnosis of bipolar I disorder obtained at 83 collection sites in both hemispheres. This included 4752 patients from 71 collection sites in the northern hemisphere and 1090 patients from 12 collection sites in the southern hemisphere. Patient data variables were obtained from records or interviews. Solar insolation data were obtained from The National Aeronautics and Space Administration (NASA) Power database for each onset location, and the ratio of the mean monthly minimum/mean monthly maximum solar insolation was calculated. Typically, the ratio is largest near the equator (little yearly change in solar insolation) and smallest near the poles (large yearly change in solar insolation). Results A significant relationship was found between a family history of any mood disorder, the ratio of the mean monthly minimum/mean monthly maximum solar insolation, and gender. The odds of a family history of mood disorder increased as patient location nears the poles and decreased near the equator. Female gender also increased the odds of having a family history of a mood disorder. Conclusions This study highlighted the association between family history, solar insolation, and gender in international patients with bipolar I disorder. Given the profound effects of sunlight on human health, the family of patients with bipolar disorder who live in the same location with the same solar insolation, and especially females, may be at increased risk for a mood disorder.

815 Background: EV, alone or combined with pembrolizumab (EVP), is a standard of care for patients (pts) with aUC. Markers predictive of early or durable treatment response in aUC remain limited. Here, we investigate serial ctDNA monitoring and TP53 VAF as complementary predictors of early EV/EVP response. Methods: This single-institution IRB-approved study included pts with aUC treated with EV/EVP between 1/2021 and 9/2025. Pt demographics, clinicopathologic features, serial Signatera ctDNA results, and somatic tissue next-generation sequencing (NGS) data were abstracted from medical records. Primary refractory disease (PRD) was defined as progressive disease on first restaging scan or earlier clinical progression resulting in death from disease. PRD and progression-free survival (PFS) were assessed using Fisher’s exact and log-rank tests. Results: Out of 158 pts, 67 pts were included in study cohort. Median follow-up was 13.2 months, with 52% of pts alive at time of data cutoff. Clinical characteristics at EV start include median age 69 years (range 41-99), 78% male, 91% white, 15% variant-predominant histologic subtype, 15% upper tract disease, 43% with visceral metastasis (24 lung, 7 liver), 66% frontline treatment (42 EVP, 2 EV), and 34% refractory setting (6 EVP, 17 EV). At first restaging scan, observed response rate was 50%; 23% had PRD. TP53 alterations on NGS were identified in 39 pts (58%); TP53 VAF was available for 36 pts (92%), with median VAF 50.7% (range 8-82%). While TP53 mutation presence did not significantly associate with PFS (hazard ratio [HR] 1.28, 95% CI 0.68-2.42; log-rank p = 0.45), pts with TP53 VAF ≥ 50% had significantly longer PFS compared with TP53 VAF < 50% (HR 0.44, 95% CI 0.18-1.04; log-rank p = 0.03). PRD was more commonly observed with TP53 VAF < 50% than with TP53 VAF ≥ 50% (odds ratio [OR] 0.06, 95% CI 0.01-0.48, p = 0.01). 23 pts (21 EVP, 2 EV) had ≥ 2 serial ctDNA draws ≤ 120 days apart, including baseline draw within 2 months of EV start. Median time between 1 st and 2 nd ctDNA draws was 43 days. 70% (16 pts) had ≥ 90% ctDNA decline and 17% (4 pts) had ctDNA rise. The 2 pts with PRD exhibited ctDNA rise, whereas no pts with ctDNA decline had PRD (p = 0.04). 10 of these pts (43%) had TP53 mutations with available VAF. Of those 5 pts with TP53 VAF ≥ 50%, 3 had ctDNA clearance over 90%, 1 had 0-90% ctDNA clearance, and 1 had ctDNA rise. Of those 5 pts with TP53 VAF < 50%, 2 had ctDNA clearance over 90%, 1 had 0-90% ctDNA clearance, and 2 had ctDNA rise. Conclusions: Integrated serial ctDNA monitoring and tumor TP53 VAF may capture early treatment sensitivity to EV/EVP. Limitations include retrospective analysis, small sample size/power, combined EV/EVP cohort, and lack of centralized imaging review. Further validation in large, prospective cohorts is warranted.

Background: Blood-based biomarker panels, including GALAD, have been proposed as an alternative to abdominal ultrasound for hepatocellular carcinoma (HCC) surveillance. Studies suggest longitudinal evaluation of biomarkers can improve test performance; however, no large studies have validated these findings. Methods: We leveraged the HCC Early Detection Strategy (HEDS) study (n=1019 patients with cirrhosis; 99 incident HCC) and Texas HCC Consortium (THCCC) (n=2345 patients with cirrhosis; 126 incident HCC) to compare the performance of fixed-threshold GALAD (cutoff of −1.36), and 4 longitudinal algorithms: longitudinal GALAD, PALAD, mFB-ALAD, and mPEB-ALAD. The HEDS cohort was used to derive longitudinal algorithms, and external validation was performed in THCCC. Patient-level sensitivity and test-level false-positive rate (FPR) were examined overall and across subgroups by age, sex, and cirrhosis etiology. Results: In THCCC, fixed-threshold GALAD had higher sensitivity in the 6 months before HCC diagnosis (71.4%, 95% CI: 62.9%–81.7%) than longitudinal GALAD (55.1%, 95% CI: 49.3–66.4), PALAD (55.1%, 95% CI: 50.0%–70.5%), mPEB-ALAD (53.1%, 95% CI: 43.6%–62.0%), and mFB-ALAD (42.9%, 95% CI: 32.3–48.5). However, fixed-threshold GALAD had a higher FPR (25.4%, 95% CI: 23.7%–26.9%) compared with longitudinal GALAD (15.0%, 95% CI: 12.8%–15.8%), PALAD (13.0%, 95% CI: 10.2%–14.6%), and mFB-ALAD (11.2%, 95% CI: 9.6%–12.1%) but comparable to mPEB-ALAD (22.9%, 95% CI: 21.2%–23.8%). In subgroup analyses, fixed-threshold GALAD had the highest FPR in males (35.6%) and those aged ≥65 (43.5%); longitudinal algorithms had significantly lower FPRs in subgroups but with lower sensitivity for HCC. Conclusions: Improvements in FPRs with longitudinal GALAD algorithms, as compared with fixed-threshold GALAD, are offset by significantly decreased sensitivity for HCC detection.

Background Increased chronological age correlates with reduced relapse rates and increased disability in multiple sclerosis (MS). Biological age may better capture ageing’s impact on MS and might accelerate due to MS itself. Establishing accelerated biological ageing in adults is complicated by normal ageing and comorbidities. Telomere length, a well-recognised biological ageing marker, is shortened in adults with MS and associated with disability. Demonstrating accelerated biological ageing in paediatric-onset MS (POMS) would strengthen the hypothesis that MS drives premature biological ageing. This study aimed to determine if telomere length differs in POMS compared to age-similar healthy controls. Methods We performed a cross-sectional case-control study of whole blood samples and clinical data from The US Network of Pediatric MS Centers. Real-time quantitative PCR measured telomere length, expressed as a telomere to somatic DNA ratio (T/S ratio). T/S ratio was compared between cases and age-similar healthy controls using multivariate regression analysis adjusting for chronological age, sex, race, ethnicity, tobacco exposure, socioeconomic status and body mass index. Results We analysed 300 POMS cases and 200 controls. The unadjusted mean T/S ratios were 1.66 (SD 0.32) for cases and 1.71 (SD 0.29) for controls (mean difference –0.05, 95% CI –0.10 to 0.01, p=0.08). After adjusting for key covariables with face validity, POMS participants had a mean 0.086 shorter T/S ratio than controls (95% CI 0.015 to 0.157, p=0.018). Conclusions POMS participants demonstrated shorter telomeres than age-similar controls in a multivariable model adjusting for sociodemographic variables, suggesting that MS may contribute to accelerated biological ageing.

Over 53 million people in the United States provide unpaid care for individuals of all ages, including the elderly, chronically ill, and/or disabled. Additionally, 5.4 million caregivers are youth under the age of 18. Together, they deliver an estimated $600 billion in unpaid care annually, which is three times the amount Medicaid spends on professional long-term care. Few alternatives exist for families in the private and public sectors; even when options are available, they can often be unaffordable. The situation in the United States reflects a global crisis having business and economic implications. Unpaid adult caregiving frequently disrupts jobs and increases absenteeism, creating a trickle-down effect on caregiving youth who must act as adult substitutes and suffer comparable hardships. The United Kingdom enacted legislation addressing “youth carers,” but implementation has proven largely ineffective. This paper examines global service frameworks and policies addressing caregiving youth, employing a policy analysis research methodology, and proposes regulatory solutions based on insights from international experiences.

(1) Background: Large language models (LLMs) show promise in healthcare but are constrained by hallucinations, static knowledge, and limited domain specificity. Fine-tuning (FT) and retrieval-augmented generation (RAG) offer complementary solutions, with FT embedding domain reasoning and RAG enabling dynamic, up-to-date knowledge access. Hybrid FT + RAG frameworks have been proposed to improve factual accuracy and clinical reliability. This scoping review synthesizes current evidence on such hybrids in healthcare AI. (2) Methods: The search across PubMed, IEEE Xplore, Google Scholar, and Embase identified studies implementing explicit FT + RAG hybrids in healthcare or biomedical tasks. Eligible studies reported empirical evaluations of LLM performance or behavior. Data were extracted on base models, FT strategies, RAG architectures, applications, and performance outcomes. (3) Results: Seven studies met inclusion criteria. FT + RAG systems consistently outperformed FT-only or RAG-only approaches across QA, clinical summarization, report generation, and decision support tasks. Parameter-efficient FT methods (e.g., LoRA) were common, while RAG implementations varied (dense, hybrid, hierarchical, multimodal, federated). Reported benefits included improved accuracy, reduced hallucination, and greater clinician preference and feasibility in protected settings. (4) Conclusions: FT + RAG frameworks represent a promising direction for clinically grounded healthcare AI, combining domain-specific reasoning with transparent, up-to-date retrieval. Future work should prioritize standardized evaluation, workflow integration, and governance to enable safe deployment.

Objective Immune checkpoint inhibitor (ICI) myositis is a rare but a highly morbid condition, particularly with the ICI myositis triad syndrome of myositis, myocarditis, and myasthenia gravis. We report the clinical characteristics of ICI myositis and all‐cause mortality in these patients. Methods We performed a national retrospective cohort study of US veterans treated with an ICI between June 2011 and February 2022. Cases were identified by elevated creatinine kinase (CK) following ICI therapy and/or “myositis” in notes. Chart review determined if candidates had ICI‐associated myositis and were subsequently classified as isolated ICI myositis or ICI triad syndrome. Results Of 29,296 veterans treated with ICIs, 68 (0.2%) ICI‐induced myositis cases were identified, including 23 patients with ICI triad syndrome and 45 patients with isolated ICI myositis. Median survival duration for ICI triad syndrome was 2.5 (95% confidence interval [CI] 1.7–18.5) months in comparison to 20.4 (95% CI 6.2–60) months for isolated ICI myositis and 12.6 (95% CI 12.3–12.8) months median survival for patients treated with ICI without myositis. Patients with ICI triad syndrome had 60.0% mortality during the six months following initiation of ICI treatment, in comparison to 30.2% mortality in isolated ICI myositis and 31.5% mortality in patients without myositis. Six months after the first ICI treatment, subsequent mortality trends were similar in the three groups. Conclusion ICI triad syndrome is associated with higher overall mortality and shortened median survival times during the first six months after initial ICI therapy, whereas isolated ICI myositis is associated with similar mortality outcomes compared to patients treated with ICI who did not develop myositis. image

Abstract Diffuse hemispheric glioma, H3 G34‐mutant (DHG‐H3 G34) has been primarily molecularly characterized by methylation profiling and sequencing studies. We describe an integrated histomolecular evaluation including high‐resolution copy number profiling of a series of 60 DHG‐H3 G34 to further our understanding of the spectrum of genetic changes associated with this tumor type. Cases were clinically tested using an 187‐gene mutation and fusion targeted neuro‐oncology next‐generation sequencing panel ( n = 60) and Oncoscan chromosomal microarray ( n = 26) by a single laboratory (2018–2022). A subset of cases had immunohistochemical results for OLIG2 ( n = 42), p53 ( n = 48), and ATRX ( n = 46), and methylation array data ( n = 8). Median age at testing was 21 years (range, 12–50). No significant difference was noted in clinical, histopathological, and mutational profile between pediatric and adult patients. H3‐3A G34 mutations included G34R ( n = 56; 94%), G34V ( n = 3), and a non‐canonical G34E ( n = 1). Concurrent mutations most often involved TP53 ( n = 55; 92%), ATRX ( n = 50; 83%), and PDGFRA ( n = 34; 57%). A reportedly primary tumor was confirmed to be hypermutant and had a PMS2 mutation. A single case also showed an FGFR3::FAM184B fusion. All cases with available chromosomal microarray data had unbalanced genomes, which were often complex (14/26; 54%). The most frequent recurrent copy number abnormalities were losses involving 3q, 4q, 10q, 13q, and 18q, and 17p copy‐neutral loss of heterozygosity (cnLOH) encompassing TP53 . This copy number profile was reminiscent of that seen in Grade 4 IDH‐mutant astrocytomas. Collectively, a TP53 abnormality at copy number (12/26, all cnLOH), sequence (55/60) and protein expression (46/48) level was detected in all 60 cases. In conclusion, integrated high‐resolution copy number and histomolecular analysis expanded the spectrum of genetic changes associated with DHG‐H3 G34, including the presence of universal TP53 abnormalities with frequent cnLOH—a copy number abnormality that has been largely unrecognized—for this new 2021 World Health Organization central nervous system tumor type.