Citations

ABSTRACT Background Antiplatelet management in patients hospitalised for gastrointestinal bleeding (GIB) after percutaneous coronary intervention (PCI) requires balancing risks of rebleeding and clinical vascular events. Aims Evaluate the impact of antiplatelet resumption timing post‐endoscopy on rebleeding and clinical vascular events. Methods We performed a retrospective nationwide cohort study of patients hospitalised with post‐PCI GIB on dual antiplatelet therapy (DAPT) using the Vizient Clinical Database. Co‐primary outcomes were 30‐day rebleeding and 90‐day clinical vascular events after endoscopy. Multivariable Cox proportional hazards regression analysis was performed. Results Among 2979 patients with both antiplatelet agents held before endoscopy for GIB (46.0% upper; 34.8% lower), antiplatelet resumption > 7 days post‐endoscopy was associated with decreased 30‐day rebleeding (hazard ratio [HR] 0.66; 95% confidence interval [CI] [0.49–0.87]) and increased 90‐day clinical vascular events (HR 1.18 [1.02–1.36]) compared to restarting ≤ 1 day post‐endoscopy. Among 869 patients with one antiplatelet agent held before endoscopy for GIB (47.3% upper; 36.3% lower), resumption at > 7 days vs. ≤ 1 day had HR 0.69 (0.41–1.14) for rebleeding and HR 1.41 (0.97–2.04) for clinical vascular events. HRs for antiplatelet resumption > 3 days vs. ≤ 1 day post‐endoscopy were similar. Conclusions Antiplatelet resumption > 7 days after endoscopy in patients hospitalised with post‐PCI GIB is associated with decreased 30‐day rebleeding but increased 90‐day clinical vascular events compared with resumption ≤ 1 day post‐endoscopy. Similar tradeoffs were noted with antiplatelet resumption > 3 days post‐endoscopy. To optimise competing risks of rebleeding versus clinical vascular events, antiplatelet therapy should be resumed no later than 7 days post‐endoscopy, and preferably within 3–4 days.

Abstract Lentigo maligna (LM) is a subtype of cutaneous melanoma in situ that develops on chronically sun‐damaged skin in elderly individuals. Its diagnosis and management remain challenging due to its slow progression, frequent occurrence on cosmetically sensitive areas in frail individuals, and tendency for subclinical peripheral extension. Despite its potential for invasive transformation, the natural history of LM remains incompletely understood and evidence‐based management strategies for this specific entity remain limited. This work aims to bridge the gap between scarce high‐quality evidence and the clinicians' need for practical guidance on LM management by formulating evidence‐based and expert consensus‐driven recommendations for diagnosis, treatment and follow‐up. Under the coordination of the International Dermoscopy Society, a global, multidisciplinary consortium of 53 experts—including dermatologists, dermato‐oncologists, dermatologic surgeons, radiologists, radiotherapists, pathologists and epidemiologists—formulated recommendations through structured consensus, informed by a comprehensive review of current scientific evidence and clinical practice standards. Optimal management of LM requires accurate diagnosis and individualized treatment planning. Non‐invasive skin imaging techniques, especially dermoscopy and reflectance confocal microscopy, aid in diagnosis, biopsy orientation, lesion delineation and post‐treatment monitoring. Multiple partial biopsies help confirm diagnosis and rule out invasion. Complete surgical excision remains the first treatment option. No definitive safety margins can be recommended for standard surgery; margin‐controlled techniques are preferable for large or ill‐defined lesions. Topical imiquimod and radiotherapy are effective alternatives where surgery is unsuitable. Topical imiquimod is useful as primary, adjuvant or neoadjuvant therapy. Blind destructive methods should be avoided. Close clinical and imaging follow‐up is needed. Patient‐centred care, shared decision‐making, and a multidisciplinary approach are critical for optimal outcomes. These international consensus recommendations summarize current best practices for LM management, offering practical, evidence‐informed guidance to clinicians while acknowledging the potential of future research in refining these conclusions.

ABSTRACT Introduction Non‐muscle invasive bladder cancer (NMIBC) is a chronic disease with a lifelong treatment burden that may cause substantial urinary morbidity. Such quality‐of‐life changes remain understudied. We therefore evaluated the incidence and predictors of treatment for overactive bladder (OAB) among older adults following diagnosis of NMIBC. Materials and Methods We identified adults aged 66–89 years with newly diagnosed NMIBC from 2007 to 2017 in the linked SEER‐Medicare database. We examined the incidence of treatment initiation for OAB following initial transurethral resection of bladder tumor (TURBT) and evaluated associations with baseline characteristics using Cox regression. Results We identified 9,819 patients, of whom 68% had Ta disease, 29% had T1 disease, and 4% had CIS. Within the first 12 months of TURBT, 7% of patients received treatment for OAB, and this increased to 15% of patients at 5 years. In the first year, the most utilized therapies were anticholinergic medications (early 3.72%, late 2.74%) and beta‐3 agonists (early 0.11%, late 0.32%), while procedural OAB therapy utilization was rare (0.2%). On multivariable analysis, female gender (HR 1.26, 95% CI 1.11–1.42), congestive heart failure (HR 1.21, 95% CI 1.03–1.43), and T1 tumor stage (HR 1.27, 95% CI 1.12–1.44 vs. Ta) were independently associated with an increased risk of OAB treatment. Conclusions The incidence of OAB requiring treatment among patients with NMIBC is substantial, with approximately one in six patients receiving treatment by 5 years after diagnosis. Predictive clinicopathologic features for OAB treatment—including, sex, high‐risk tumor features, and repeat TURBT—may be useful for clinical counseling.

Abstract INTRODUCTION The infectious hypothesis suggests that microbes like herpesviruses may play a role in the pathogenesis of Alzheimer's disease (AD) and other related dementias through methods that may include viral genome integration. The occurrence of herpesvirus genome integration in dementia patients has not been thoroughly characterized. METHODS Over 7500 total whole‐genome sequences from control, frontotemporal dementia/amyotrophic lateral sclerosis spectrum, Lewy body dementia (LBD), multiple system atrophy (MSA), and AD cohorts were screened for the integration of pathogen genomes using the PathSeq computational tool. RESULTS Low PathSeq scores for human herpesvirus 6 (HHV‐6) were consistent with the suspected integration of viral genome segments. The LBD and MSA cohorts had a significantly higher prevalence of this partial HHV‐6 genome integration. DISCUSSION This higher prevalence in both synucleinopathies was not noted in other herpesviruses, suggesting that the integration of HHV‐6 may play a role in a subset of these patients. Highlights Over 7500 whole‐genome sequences from controls and dementia patients were analyzed. Sequences consistent with integrated herpesviruses were identified using PathSeq. Prevalence of partial HHV‐6 integration was higher in synucleinopathies. Herpesviruses genome integration may play a role in subsets of dementia patients.

Abstract Neuromodulatory subcortical systems (NSSs) are uniquely susceptible to dementia‐related pathology, leading to frequent molecular and behavioral impairments associated with altered function of these nuclei. Some of these systems display clear sex‐specific cytoarchitecture and signaling leading to distinct physiology and behavioral outputs in males and females, while other regions display nominal sex differences. However, the relevance of sex differences in modulating dysfunction of NSSs in Alzheimer's disease (AD) and related dementias is not well understood. This review is a joint effort by the Neuromodulatory Subcortical Systems and Sex and Gender Differences in Alzheimer's Disease Professional Interest Areas of the Alzheimer's Association. We review sex differences in NSSs, both in non‐disease states and in AD models and patients. We highlight the possible role of NSSs in driving sex‐specific AD susceptibility and potential footholds for sex‐based interventions targeting these systems. We conclude by outlining immediate and long‐term actions to address the intersection of NSSs, sex, and AD.

Background While rural health guidelines have often cautioned against digital interventions due to infrastructure and literacy barriers, this study introduces an SMS-based conversational artificial intelligence (CAI) that overcomes these limitations to promote HPV vaccination. Objective To evaluate an SMS-based CAI using the Centers for Disease Control (CDC)’s presumptive and CASE (Corroborate, About Me, Science and Explain) frameworks to promote HPV vaccination among rural parent-adolescent dyads by: (1) testing its usability; (2) assessing the feasibility of co-design with clinicians and parent-adolescents; (3) identifying adoption barriers and (4) examining communication preferences across behavioural profiles. Methods We developed a CAI simulator using the presumptive approach and the structured CASE method to address 11 common concerns about the HPV vaccine. A multimethod usability study with 13 rural parent-adolescent dyads (n=26) included in-depth interviews and the System Usability Scale. Results The CAI achieved excellent usability (mean SUS 85.2, ~96th percentile). A previously undocumented behavioural profile—vaccine-unaware—was identified, distinct from hesitancy, and best addressed through empathetic, exploratory dialogue. Key adoption barriers included integration with existing preventive care routines and endorsement by trusted local providers. Conclusions Contrary to the assumption that rural residents resist digital tools, participants engaged readily when content was credible, locally endorsed and accessible via SMS. Findings highlight the conditional effectiveness of the CDC’s presumptive style in CAIs—well-suited for vaccine-compliant users but less effective for sceptical or unaware groups, who, we argue, would respond better to conversational, empathetic tones.

Background Breast phyllodes tumours (PT) are rare biphasic neoplasms consisting of epithelial and stromal components. They are classified into benign, borderline and malignant categories. Diagnosing and grading PTs present a challenge for pathologists, as there are multiple histological parameters and their own tiers. We aim to investigate the potential role of artificial intelligence (AI) as a diagnostic aid in determining PT grade. Materials and methods We investigated 15 PT whole slide images (WSIs), comprising 5 benign, 5 borderline and 5 malignant cases. We sought to classify and retrieve the most relevant WSIs by matching histological features at different patch sizes, using the Yottixel framework for WSI processing. Patches were extracted at a 20× magnification level. We then used the KimiaNet to extract feature vectors and transformed these into barcode representations. Barcodes of a query WSI were compared with those of others in the archive, allowing us to identify the most similar WSI and determine the PT grades from histological similarities. Results We utilized ‘majority‐n accuracy’ as a measure of correctness, that is when the majority of the top‐n search results have the correct diagnosis as the query patient. We achieved a maximum reported accuracy of 67%, with a 3000 × 3000 patch size when grading PT at majority voting with n = 4. Conclusion Despite the small sample size and absence of fine‐tuning, our study demonstrated the potential of AI‐based PT grade stratification using various patch sizes through histological matching. This serves as a preliminary proof of concept, with the prospect of refinement for potential routine clinical application.

ABSTRACT Background Decision‐making (DM) dynamics between adolescents and young adults (AYAs) with cancer, parents, and oncologists remain underexplored in diverse populations. We examined cancer treatment DM preferences among an ethnically and socioeconomically diverse group of AYAs and their parents. Procedure We surveyed AYAs with cancer ( n = 75) and their parents ( n = 52) participating in the Texas KidsCanSeq study. Among AYA‐parent pairs, we compared preferred and actual treatment DM roles. We explored associations among DM roles, having pediatric‐to‐adult care transition discussions, and clinical and sociodemographic characteristics. We report AYAs’ and parents’ preferences for involvement in shared decision‐making (SDM) with oncologists about cancer treatment. Results AYAs’ DM role preferences varied: 44% preferred to equally share DM with parents, 31% preferred AYA‐led DM, and 25% preferred parent‐led DM. Parents who preferred parent‐led DM had younger AYAs than parents who preferred equally shared DM ( p = 0.011). For actual DM, 48% of AYAs reported DM was equally shared, 24% reported DM was AYA‐led, and 28% reported DM was parent‐led. Most AYAs had their preferred role (73%). AYAs’ actual role did not significantly differ from their own or their parents’ preferences (both p > 0.05). Approximately half of AYAs reported recent pediatric‐to‐adult care transition discussions. AYAs’ DM preferences and participation in transition discussions did not significantly differ along clinical or sociodemographic characteristics (all p > 0.05). AYAs and parents perceived high importance across all aspects of SDM with oncologists. Conclusion In this diverse study population, AYAs desired engagement in treatment DM and SDM. Although specific role preferences varied, opportunities existed to increase discussion around pediatric‐to‐adult care transition.

Introduction Neurological post-acute sequelae of COVID-19 (neuroPASC) are associated with persistent cognitive dysfunction and quality-of-life decline. We aimed to identify clinical, behavioral and sociodemographic factors associated with neuroPASC symptom burden two years after COVID-19 among individuals without prior neurological disease. Methods In this prospective, observational study, individuals with neuroPASC ( n = 102) and controls without symptomatic COVID-19 ( n = 74), all without prior neurological, psychiatric, or post-viral conditions, were enrolled between February 2022 and June 2024 across five academic sites. An unsupervised algorithm identified clusters with differing self-reported neurological symptom burden within the neuroPASC group. Functional differences between clusters were evaluated using quality-of-life, neurological and cognitive evaluations. Demographics, behavioral history, comorbidities, and blood biomarkers were compared across clusters and controls. Multivariable logistic regression assessed predictors of neuroPASC severity, including demographics, body-mass-index, Charlson Comorbidity Index, Framingham Risk Score, pre-existing endocrine/metabolic and/or gastrointestinal/hepatobiliary conditions, COVID-19 vaccination prior to infection, hospitalization during acute infection, and cumulative alcohol use. Results Two clusters emerged based on neurological symptom burden, labeled “high-burden” and “low-burden” neuroPASC, reflecting differences in the number and frequency of symptoms. Both clusters had deficits in quality-of-life and cognitive function compared to controls, with greater impairment in high-burden than low-burden neuroPASC. The clusters did not differ by sex, education, tobacco and cannabis use, blood pressure, body-mass-index, HbA1C, days since infection, hospitalization during COVID-19, pre-COVID vaccination rate, antibody-positivity, inflammation, and neurodegeneration biomarkers. The high-burden cluster was older and exhibited higher comorbidity burden and greater cumulative alcohol use compared with the low-burden cluster and controls. Pre-existing endocrine/metabolic and gastrointestinal/hepatobiliary conditions were more common in high-burden (63%) than in low-burden neuroPASC (35%). After adjusting for clinical and demographic factors, these pre-existing conditions remained the only independent predictor of severity, conferring a 3.5-fold increase in the odds of high-burden versus low-burden neuroPASC. Discussion Older age, higher comorbidity burden, greater cumulative alcohol use, and endocrine/metabolic and gastrointestinal conditions, rather than acute COVID-19 severity, were observed in the high-burden neuroPASC cluster. After multivariable adjustment, only pre-existing endocrine/metabolic and/or gastrointestinal/hepatobiliary conditions remained independently associated with high-burden neuroPASC, conferring a 3.5-fold increase in odds and highlighting the need for targeted post-infection monitoring in at-risk patients.