Citations

Abstract Large language models (LLMs) and vision‐language models represent a fundamentally different category of artificial intelligence (AI) compared to prior image analysis approaches in digital pathology, which have largely been based on convolutional neural network architectures. This review from the American Society of Cytopathology Clinical Practice Committee examines the current evidence for LLM and vision‐language model applications in cytopathology, including structured reporting, diagnostic assistance, quality control, education, and workflow integration. The distinction between applications with preliminary evidence and those that remain hypothetical is described. A detailed assessment of the challenges that must be addressed before clinical deployment, including hallucination risk, limited explainability, bias, data privacy, validation gaps, and infrastructure barriers is discussed. A review of the regulatory landscape in the United States and European Union as it applies to AI‐enabled software as a medical device is provided. Recommendations addressing cytopathology‐specific benchmarks, multi‐institutional validation, transparent governance, and incremental deployment beginning with low‐risk applications are suggested. In the current environment, LLMs have the potential to augment cytopathology practice, but responsible adoption requires rigorous validation and sustained collaboration among cytopathologists, AI researchers, and regulatory bodies.

Abstract Introduction: Erythromelalgia is a descriptive term for burning pain and erythema in distal extremities, often worsened by heat and improved by cold. Inherited erythromelalgia has been primarily linked to gain-of-function variants in SCN9A , encoding voltage-gated sodium channel NaV1.7. However, approximately 65% to 85% of patients with erythromelalgia do not have pathogenic SCN9A variants. Objectives: The objective of this study was to uncover and assess gene variants potentially associated with pediatric-onset erythromelalgia. Methods: With IRB approval and informed consent, probands and families with erythromelalgia underwent next-generation sequencing. A list of genes of interest was produced based on Mendelian inheritance models. Selected gene candidates were assessed using the Sequence Kernel Association Test-Optimal (SKAT-O). Results: Sixty-two probands with erythromelalgia and their relatives were included in Mendelian analysis, which identified variants in PR domain zinc finger protein 12 ( PRDM12 ) and dihydropyrimidinase-like protein 2 ( DPYSL2 ). In a targeted 12-gene rare-variant set analysis using SKAT-O, zinc finger homeobox protein 2 ( ZFHX2 ) showed evidence of association ( P = 6.9 × 10 −4 ), surpassing Bonferroni correction for 12 tests (α = 4.17 × 10 −3 ), whereas KIF1B showed only a nominal association signal ( P = 0.03) that did not survive multiple-testing correction. Conclusion: Genes associated with both increased and decreased pain sensitivity are of considerable interest for elucidating pain mechanisms and analgesic development. As rare variants in PRDM12 and DPYSL2 were identified in a pediatric erythromelalgia cohort and a gene-based rare-variant association signal for ZFHX2 was identified, replication and functional validation are needed.

Importance Pyoderma gangrenosum (PG) is a rare neutrophilic dermatosis characterized by sterile ulcerative skin lesions. Multiple comorbidities and clinical features have been associated with PG, but no standardized guidelines exist for classifying PG phenotypes. Objective To develop an expert-established classification framework for PG phenotypes to inform treatment guidelines and future research endeavors. Evidence Review In this modified Delphi consensus study that included 23 board-certified dermatologists and Medical Dermatology Society members with expertise in PG, panelists completed 5 rounds of anonymous, iterative online surveys that were administered from December 2023 through July 2025. Before the beginning of the consensus exercise, a literature review was performed by nonvoting researchers to summarize existing data on PG clinical associations and comorbidities. A PubMed search from inception to September 2023 identified observational studies, narrative reviews, systematic reviews, and meta-analyses describing PG clinical associations and comorbidities that were published in English. Experts indicated their agreement with proposed PG phenotypes and disease modifiers with a consensus threshold of 70% or greater. Anonymous comments and aggregated results were presented in each subsequent round. In the final round, a framework of PG phenotypes and disease modifiers was proposed for agreement. Findings Twenty-three board-certified dermatologists and Medical Dermatology Society members with expertise in PG completed 5 rounds of iterative surveys. Consensus was reached on the final set of PG phenotypes and disease modifiers, with 83% of experts in agreement. PG phenotypes were overall classified into 2 major groups: PG with autoinflammatory syndromes and nonsyndromic PG. Nonsyndromic PG included 4 phenotypes: inflammatory bowel disease–associated PG, PG in association with hematologic cancers and blood dyscrasias, drug-induced PG, and other (including idiopathic) PG. Disease modifiers of PG phenotype presentations included involvement of special sites (head/neck, genitals, or peristomal skin) and extracutaneous manifestations. Conclusions and Relevance This expert-established, descriptive framework provides a standardized classification system for distinct PG phenotypes and its modifiers. This nomenclature may inform upcoming clinical guidelines and allow for consistency in reporting epidemiological research and outcomes among patients with PG.

Importance Breast cancer is the most common cancer diagnosed in women. Therapies for breast cancer are evolving rapidly, and several are associated with cardiovascular adverse effects, can exacerbate cardiovascular risk factors, or can increase the risk of cardiovascular disease. Observations Advances in screening and treatment have led to earlier diagnosis and improved disease-free survival. For long-term survivors of breast cancer, cardiovascular adverse effects can pose a greater threat to overall long-term health than the cancer itself. Additionally, the increasing incidence of breast cancer in younger, premenopausal women has created a distinct demographic with unique medical needs. Conclusions and Relevance Cardiology practitioners need to remain updated on rapidly evolving breast cancer therapies to care for this growing, unique patient population. The field of cardio-oncology has evolved to address the cardiovascular needs of patients and survivors.

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.

BACKGROUND: Anthracyclines are a widely used and effective class of chemotherapy. However, a major limitation for their use is cardiotoxicity, manifesting as systolic dysfunction, congestive heart failure, and arrhythmias. The objective of this study was to identify genes and genetic risk variants for doxorubicin-induced arrhythmia. METHODS: We performed genome-wide association studies and meta-analysis across 2 independent nonoverlapping, genetically homogenous data sets from the Molecular Epidemiology Resource (cases N=77, controls N=1184) and Tapestry (cases N=13, controls N=172). Doxorubicin-related arrhythmia was the primary cardiac outcome, followed by investigation of a broader phenotype of cardiac events. Effects of doxorubicin on top-associated genes were assessed by quantitative polymerase chain reaction on RNA extracted from human cardiomyocytes following treatment with doxorubicin and by echocardiography in a zebrafish model of doxorubicin-induced cardiomyopathy. RESULTS: In the meta-analysis, rs12151014 at the KCTD15 locus was associated with doxorubicin-related arrhythmia at the genome-wide significance (minor allele frequency in Molecular Epidemiology Resource cases 0.195 versus 0.069 in controls; Tapestry cases 0.192 versus 0.079 in controls) P =9.01×10 −9 ; odds ratio, 3.61. MMP 16 rs1094199 was associated with the broader phenotype of arrhythmia and heart failure (minor allele frequency in Molecular Epidemiology Resource cases 0.079 versus 0.019 in controls; Tapestry cases 0.038 versus 0.015) P =1.98×10 − 8 ; odds ratio=6.15. In human cardiomyocytes, MMP16 and KCTD15 gene expression was significantly downregulated by doxorubicin, and in a zebrafish MMP16 knockout was protective of doxorubicin-induced decline in left ventricular ejection fraction. CONCLUSIONS: Genetic variants at KCTD15 and MMP16 are associated with doxorubicin-related arrhythmia and cardiac events. MMP16 is a potential cardioprotective therapeutic target.

Background Transthyretin amyloid cardiomyopathy (ATTR‐CM) is a progressive, fatal disease associated with a substantial health care system burden. The aim of this study was to compare health care resource utilization and associated costs among individuals with ATTR‐CM, with non‐amyloid heart failure (HF), and without HF in the United States. Methods Optum's de‐identified Clinformatics Data Mart Database (January 2016 to September 2023) was used to identify patients with ATTR‐CM based on HF and/or cardiomyopathy claims within 2 years of the first ATTR diagnosis. Patients with ATTR‐CM were matched to patients with non‐amyloid HF (HF/cardiomyopathy without ATTR) and non‐HF controls using 1:1 propensity score matching. All‐cause and cardiovascular‐related hospitalizations and costs were compared during follow‐up. Results Each matched cohort included 4571 patients (mean age, 75.3–75.5 years; 56.0%–56.6% male; mean follow‐up: 2.9–3.2 years). The ATTR‐CM, non‐amyloid HF, and non‐HF cohorts had 3.3, 2.7, and 1.5 all‐cause hospitalizations per patient during follow‐up, respectively. Compared with non‐amyloid HF, patients with ATTR‐CM had a longer mean length of stay per hospitalization (all‐cause and cardiovascular‐related: 8.0 versus 7.5 days; P <0.001), more mean days hospitalized annually per patient (all‐cause: 10.6 versus 8.4; cardiovascular‐related: 10.5 versus 8.3 [both P <0.001]), and higher mean annual inpatient hospitalization costs per patient (all‐cause: $42 868 versus $36 061; cardiovascular‐related: $42 841 versus $36 027 [both P <0.001]). In ATTR‐CM subgroups, mean cardiovascular‐related length of stay and days hospitalized were higher among patients aged 46 to 64 years and 65 to 80 years (versus >80 years), Black patients (versus White patients), and patients in the Northeast or South US regions (versus West regions). Conclusions ATTR‐CM is associated with a higher health care resource utilization/cost burden than non‐amyloid HF and the general population.

Abstract Black/African American populations, globally, bear the greatest prostate cancer (CaP) burden compared to other racial/ethnic groups. Addressing CaP disparities in Black men is complex, requiring a patient-centered, community-centric and comprehensive approach. This study integrates iCCaRE Consortium findings and broader literature to address unmet needs in survivorship care. The iCCaRE Consortium implemented five complementary pilot studies using mixed-methods designs, including feasibility trials, qualitative research, and observational analyses across the United States and sub-Saharan Africa. Descriptive statistics, subgroup analyses, and qualitative thematic analyses were performed across these studies. Collectively, projects addressed multilevel determinants including social, behavioral, and biological drivers of disparities. Project 1 implemented a Virtual Reality Assistant (ViRA) across clinical and community settings, with ongoing evaluation in pragmatic trials. Project 2 showed strong patient preference for home-based cancer care. Project 3 enrolled demonstrated trends toward improved health-related quality of life. Project 4 identified key themes influencing survivorship experiences. Project 5 identified biological mechanisms linking stress, immune modulation, and symptom burden. The iCCaRE pilot projects demonstrate the feasibility and early impact of a consortium-based, transdisciplinary approach to addressing CaP disparities in Black men. These findings highlight the importance of integrating patient-centered interventions, community engagement, and biological insights to inform scalable strategies aimed at improving survivorship outcomes and advancing health equity. The iCCaRE Consortium demonstrates that a transatlantic, patient-centered, and multidisciplinary approach integrating social, clinical, and biological factors can generate scalable strategies to improve survivorship outcomes and advance equity in CaP care for Black men.

Acute myeloid leukemia (AML) pathogenesis is deeply rooted in the concept of clonal evolution, in which hematopoietic stem cells experience an initial genetic insult, followed by the sequential acquisition of mutations leading to various disease phenotypes. Through natural selection, a malignant clone can diversify and propagate with time. Aside from clonal evolution, a number of time-honored principles of molecular oncology account for the initiation and maintenance of AML. These principles include loss of heterozygosity, genomic instability, epigenomic disruption, deregulation of signaling pathways, anti-apoptotic mechanisms, and oncogene addiction. Such tenets of cancer biology not only explain AML cellular behavior but also may inform target validation in AML. Herein, we highlight the current state of targeted therapeutics, including the 14 novel agents (beyond 7+3 chemotherapy) approved by the Food and Drug Administration, in the context of these tenets and discuss future prospects by leveraging current knowledge of AML genomics. Such therapeutic concepts, including synthetic lethality, are especially relevant to TP53-mutant AML, as there are no unique therapies that have received regulatory approval for this subset to date. We emphasize the emerging role of single-cell genomics and multi-omics toward better understanding of AML biology and development of future successful AML therapies.