Citations

ABSTRACT Major depressive disorder (MDD) is a substantial public health challenge. Pharmacogenomics (PGx), which identifies genetic variations that predict drug treatment outcomes, may have utility for clinical practice, but adequate representation of all populations is needed. As precision medicine in psychiatry moves towards the use of Artificial Intelligence (AI) and Machine Learning (ML) to predict treatment outcomes using PGx data, representation of diverse populations will be especially important in order to mitigate algorithmic bias and achieve equitable and generalizable findings. This work sought to quantify population diversity in pharmacogenomic studies of MDD through a systematic review. Data from 390 MDD antidepressant PGx studies were extracted from 5739 articles screened. Studies summarized were predominantly conducted in Europe, East Asia, and North America. Across all global studies, the study population comprised 57.3% White, 36.4% Asian, 1.7% Black, 3.5% Hispanic/Latino, and 0.1% Native American or Indigenous participants. Only sixty‐three (16.2%) studies included Black or Latino/Hispanic patients. Additionally, Black, Asian, Hispanic/Latino, and American Indian/Alaska Native populations were statistically underrepresented in U.S. study populations when compared to national census data, while Asian and Black populations were underrepresented in the United Kingdom. The overrepresentation of participants from a limited number of countries combined with the underrepresentation of Black and Hispanic/Latino populations could impact the extent to which pharmacogenomic testing and associated AI/ML‐based PGx tools could individualize antidepressant medication regimens for treating MDD.

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. The mean scores for the teams were calculated. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. The Dice score for the winning team was 0.65 ± 0.25. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space. The Dice scores and lesion detection rates of all algorithms diminished with decreasing tumor size, particularly for tumors smaller than 100 mm3. In conclusion, algorithms for BM segmentation require further refinement to balance high sensitivity in lesion detection with the minimization of false positives and negatives. The BraTS-METS 2023 challenge successfully curated well- annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied environments and providing the tools for future development of personalized volumetric reports to patients undergoing BM treatment.

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 INTRODUCTION Neurofilament light chain (NfL) quantification aids in diagnosing and predicting neurological disorders, but clinical and laboratory practices vary across centers. Differences in result interpretation and reporting further challenge test commutability. This study aimed to review the global analytical and post‐analytical methods used for NfL measurement in routine clinical practice across different contexts. METHODS We established an international working group (WG) and distributed a survey to its members to gather information on context of use (COU), (pre) analytical methods, cutoff usage, as well as the interpretation and reporting of NfL measurements. RESULTS Among the centers, 63% measured NfL in cerebrospinal fluid (CSF), 87% in blood, and 53% in both. COU was widespread, with 50% defining pathological cutoffs based on publications and 42% considering age. Reporting was primarily done through numeric results (95%). DISCUSSION Harmonizing cutoffs, reporting, and interpretation across various clinical contexts will facilitate the incorporation of this biomarker into routine clinical practice. Highlights Unique international overview of current analytical and post‐analytical methods for neurofilament light chain (NfL) measurement in routine clinical practice. Tailored sheets for each neurological application. Strategies to harmonize cutoffs, reporting, and interpretation of NfL's measurement.

Background: During the COVID-19 pandemic, increased use of telehealth expanded access to health care for older adults. Many clinicians and health systems adjusted workflows and realized that certain competencies are needed to fully engage older adults in telehealth services. This scoping review evaluates the approaches needed to educate clinicians about providing telehealth services to older adults. Methods: We conducted a review of studies published from January 2000 through February 2024 by using the 6-stage scoping review process. Searches of PubMed/MEDLINE and five other databases included the concept areas of competencies, telehealth delivery of mental health services, and older adults. Results: We initially identified 813 articles, of which 89 were eligible for full-text review and 15 met our inclusion criteria. Most studies included training participants about the use of telehealth but without formal curricular interventions or evaluations and lacked details about topics, materials, methods, or outcomes. Telehealth training was general and focused primarily on the use of technology and telepresence, although not specifically for older adults. Three themes were identified from the studies: the role of teams and interprofessional education, the importance of training for clinicians and older patients, and adaptations to improve telehealth delivery for older adults. Conclusions: Individual and institutional competencies are needed to guide educational goals and outcome measures related to telehealth services for older adults. The use of telehealth specifically for older adults may require adaptation to clinical practice and delivery, adjustments to workflow, development of clinician skills, and promotion of interprofessional teamwork.

Alcohol use disorder is linked to a multitude of diseases and disorders, many of which can be diagnosed with imaging techniques such as US, CT, and MRI, enabling early detection and potentially preventing further damage and improving outcomes.

ABSTRACTPharmacogenetics is a promising strategy to facilitate individualized care for patients with Major Depressive Disorder (MDD). Research is ongoing to identify the optimal genetic markers for predicting outcomes to antidepressant therapies. The primary aim of this systematic review was to summarize antidepressant pharmacogenetic studies to enhance understanding of the genes, variants, datatypes/methodologies, and outcomes investigated in the context of MDD. The secondary aim was to identify clinical genetic panels indicated for antidepressant prescribing and summarize their genes and variants. Screening of N = 5793 articles yielded N = 390 for inclusion, largely comprising adult (≥ 18 years) populations. Top‐studied variants identified in the search were discussed and compared with those represented on the N = 34 clinical genetic panels that were identified. Summarization of articles revealed sources of heterogeneity across studies and low rates of replicability of pharmacogenetic associations. Heterogeneity was present in outcome definitions, treatment regimens, and differential inclusion of mediating variables in analyses. Efficacy outcomes (i.e., response, remission) were studied at greater frequency than adverse‐event outcomes. Studies that used advanced analytical approaches, such as machine learning, to integrate variants with complimentary biological datatypes were fewer in number but achieved higher rates of significant associations with treatment outcomes than candidate variant approaches. As large biological datasets become more prevalent, machine learning will be an increasingly valuable tool for parsing the complexity of antidepressant response. This review provides valuable context and considerations surrounding pharmacogenetic associations in MDD which will help inform future research and translation efforts for guiding antidepressant care.

e18064 Background: Cell-free circulating tumor DNA (ctDNA)-based test has emerged as a promising tool in informing treatment modification in solid tumors. The clinical applications of ctDNA in head and neck squamous cell carcinoma (HNSCC) has been explored and here we report the clinical utilities of ctDNA in disease monitoring in HNSCC. Methods: HNSCC patients treated at our institution with available ctDNA test (Signatera) results between 2022 and 2024 were identified. Clinical information including disease site, stage and imaging results were collected and analyzed. Results: A total of 59 patients were identified. 21 (36%) patients had P16 + oropharyngeal cancer, 16 (27%) had oral cavity cancer, 9 (15%) patients had laryngeal cancer, 7 (12%) had P16-oropharyngeal cancer, 6 (10%) had perinasal sinus, hypopharyngeal or nasopharyngeal cancers. At the time of ctDNA test, 22 (36%) patients completed curative-intent treatment and had no radiographic evidence of disease (NED), 16 (26%) patients were treatment-naïve and had local/regional (LR) disease only, and 22 (36%) patients completed definitive treatment and developed radiographic evidence of LR recurrence or distant (D) metastatic disease. ctDNA was detectable in less than half (44%) of the treatment-naïve patients and the detection rate was even lower (14%) in the subgroup of p16+ oropharyngeal cancer. However, among patients with LR recurrent and distant metastatic disease, majority (77%) had positive ctDNA. ctDNA was undetectable in most of the patients (80%) who completed definitive treatment and were NED radiographically. Among the 3 patients who had detectable ctDNA, 2 were subsequently found to have recurrent disease on images and 1 is still on surveillance (table). Conclusions: Positive ctDNA was detected in most of the HNSCC with LR recurrent or distant metastatic disease, supporting its potential role in treatment response monitoring in this group of patients. Detectable ctDNA preceded radiographic evidence of recurrent disease in a small number of patients, suggesting the possibility of minimal residual disease detection using ctDNA in a subgroup of patients. Treatment history S/P definitive treatment Treatment naive S/P definitive treatment Radiographic evidence of disease (patient number) No (21) Yes (16; LR only) Yes (21; LR only: 10, distant: 11) ctDNA negative 18 9 4 ctDNA positive 3 (recurrence confirmed on subsequent imaging in 2 patients) 7 17

Increased intracranial pressure (ICP) is increasingly recognized in myelin oligodendrocyte glycoprotein antibody-associated disease but has not been systematically explored in other demyelinating conditions. This cross-sectional study examines the features of raised ICP in aquaporin-4-IgG-positive neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS). Lumbar puncture opening pressure (OP) done within 30 days of an attack was identified in 41 NMOSD patients and 37 MS patients. Raised OP was present in 7 (17.1%) NMOSD patients and 4 (10.8%) MS patients who were largely asymptomatic, partially explained by obesity, and did not require ICP lowering medications beyond acute treatment with corticosteroids.