Citations

Abstract Background Data on respiratory syncytial virus (RSV) acute respiratory infection (ARI) among community-dwelling U.S. adults aged 18 to 64 years, particularly those with high-risk conditions (HRC), remain limited. This study estimated incidence and attack rates of RSV-ARI and RSV lower respiratory tract disease (LRTD) in adults with and without HRCs. Methods A multistate, community-based prospective cohort of adults aged 18 to 64 years with and without HRCs was followed from October 2022 to September 2024. Incidence rates and annual attack rates of RSV-ARI and RSV-LRTD were calculated by HRC presence and age group. Results Of 3375 adults with at least 1 HRC, the RSV-ARI incidence rate was 17.9 per 1000 person-years (attack rates: year 1, 1.87%; year 2, 1.56%), compared with 14.8 per 1000 person-years (year 1, 1.33%; year 2, 1.50%) among adults without HRCs. RSV-LRTD incidence was 10.0 per 1000 person-years in adults with HRCs versus 5.7 per 1000 person-years in those without. Asthma, congenital immunodeficiency, and immunosuppressive medication use were associated with increased incidence of RSV-ARI and RSV-LRTD; whereas adults with solid organ transplant and chronic kidney disease had a significantly higher incidence rate of RSV-LRTD compared to those without these conditions. Adults aged 18 to 49 years with HRCs had significantly higher RSV-LRTD incidence (9.6 vs 4.3 per 1000 person-years). After adjustment for age and sex, having ≥1 HRC was associated with a 62% increased RSV-LRTD risk, rising to 117% among adults aged 18 to 49 years. Conclusions Adults with HRCs—particularly asthma, congenital immunodeficiency, chronic kidney disease, immunosuppressive medication use, and solid organ transplant—experienced higher RSV-ARI and RSV-LRTD incidence. The elevated RSV-LRTD burden was most pronounced in adults aged 18 to 49 years with HRCs.

Abstract Introduction Multiple pulmonary nodules (MPNs) are commonly encountered in patients at elevated risk for thoracic malignancy and represent a spectrum of disease states and stages. We evaluated the safety, and procedural outcomes of a combined robotic assisted bronchoscopy (RaB) and linear endobronchial ultrasound (EBUS) approach to patients with MPNs during a single bronchoscopic procedure. Methods This multicenter observational registry included patients who underwent RaB for evaluation of MPNs. Data were prospectively collected from six centers between 2019 and 2025. Demographics, imaging characteristics, safety events, and procedural outcomes were analyzed and associated with final diagnosis. Results A total of 191 patients underwent RaB with biopsy of MPN during a single procedure; 167 patients also underwent linear EBUS lymph node sampling. The strict per nodule diagnostic yield was 71.5% overall (first nodule 70.7%, second 74.3%, third 71.4%). At least one malignant nodule was identified in 127 patients (66.8%), and 85 patients (44.5%) had two or more malignant nodules; 15 patients (17.6%) demonstrated heterogeneous histopathology between malignant nodules. Among patients with non–small cell lung cancer, adequate cellularity for next generation sequencing was achieved in 82.6% of nodules. Malignant lymph nodes were identified in 10.8% (18/167). No patients with two pure ground glass nodules (0/8) had malignant nodal involvement. Pneumothorax occurred in 7.3% of cases, with 2.1% requiring chest tube placement; unplanned admissions occurred in 3.7%. Conclusion This study provides a large multisite registry evaluation of performance of simultaneous bronchoscopic sampling of multiple pulmonary nodules with EBUS staging during a single anesthesia event demonstrating an acceptable safety profile and adequacy for molecular profiling.

Abstract Current genomic assays provide prognostic information and guide chemotherapy decisions in early-stage hormone receptor–positive/human epidermal growth factor receptor 2–negative (HR+/HER2−) breast cancer, but limited tissue sampling may incompletely capture tumor heterogeneity. We developed and validated an image-based artificial intelligence (AI) model integrating dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and clinicopathologic features to predict recurrence risk in early-stage HR+/HER2 − breast cancer. In this retrospective multi-institutional study, the model was trained using pre-treatment imaging and clinicopathologic data from 522 patients and independently validated in 550 additional patients treated between 2010 and 2023. By analyzing spatial tumor characteristics, the model generated individualized recurrence risk scores that outperformed clinicopathologic features alone. In the validation cohort, median age was 53 years (range, 24–90), 15.6% of patients self-identified as African American, 89.7% had clinical T1–T2 disease, and 34.4% had 1–3 positive lymph nodes. Five-year recurrence-free survival was 93.8% (95% CI, 90.0–96.2%) among patients classified as low risk compared with 82.6% (95% CI, 74.8–88.1%) among those classified as high risk, corresponding to an adjusted hazard ratio of 2.28. Prognostic performance was maintained across clinically relevant subgroups, including age and nodal status. These findings support the potential of a noninvasive image-based AI approach for real-time prognostication and treatment personalization in early-stage HR+/HER2 − breast cancer.

Abstract Background Large language models (LLMs) offer promise for systematic review data extraction, but performance in complex multidisciplinary domains and utility for clinical statement generation remain insufficiently described. Objectives To evaluate Google NotebookLM for AI-assisted data extraction and RAND/UCLA consensus statement generation in a systematic review of IBD, obesity, and cardiometabolic comorbidities. Methods Studies were organized into domain-specific notebooks; structured prompts generated standardized evidence tables. Two independent reviewers validated outputs against full-text articles using a four-category error classification. Cell-level accuracy and critical accuracy (cells free of major factual errors) were the primary metrics; workflow time was compared against a published conventional extraction benchmark. Concordance between AI-generated and expert-finalized statements was assessed. Results Across 57 articles, 1,710 data cells were extracted; 151 (8.83%) were flagged, yielding 91.17% cell-level accuracy. Major factual errors occurred in only 4 cells (0.23%), for a critical accuracy of 99.77%. Most errors were minor omissions (59.6%) or incomplete extractions (30.5%); domain error rates ranged from 7.08% to 11.33%. The pipeline required 17.7 versus a projected 165.1 person-hours (89.3% reduction). PICO-structured prompting generated 70 candidate statements; 58 of 112 finalized panel statements (51.8%) were AI-derived, and 85.7% were retained in the finalized set. Conclusion Google NotebookLM demonstrates feasibility as a primary extraction and synthesis tool in a multidisciplinary systematic review, with extractive incompleteness as the principal limitation and substantial time savings over conventional approaches. Its novel application to RAND/UCLA consensus statement generation extends AI-assisted evidence synthesis to clinical consensus generation workflow.

Objectives: To summarize the current evidence for radiation therapy (RT) in the prevention and treatment of heterotopic ossification (HO), including patient selection, optimal RT technique, and associated risks. Methods: This multispecialty-led committee includes radiation oncologists, rheumatologists, orthopedic surgeons, and physical medicine/rehabilitation physicians. Using the population, intervention, comparator, outcome, timing and study design (PICOTS) framework, evidence regarding treatment outcomes was assessed using Cochrane and PRISMA methodology. Eligible studies included prospective and retrospective studies published between January 1, 1980, and November 1, 2025, from Embase, Medline, and PubMed databases. Of the 197 articles identified using the search strategy, 83 were selected for inclusion as evidence, including 27 well-designed studies (phase II randomized and phase III), 16 moderately well-designed studies that account for most common biases (matched cohort and phase II studies), 31 studies with design limitations (retrospective reviews), 2 supplemental studies (not useful as primary evidence), and 7 meta-analyses. Additional studies were included to provide context and were not used to guide recommendations. Well-established RAND-UCLA consensus methodology (modified Delphi) was used to rate the appropriateness of the treatment options. Results: The results of this analysis demonstrate that in appropriately selected patients, RT is an effective and safe therapy for prophylaxis of HO formation. Conclusions: This systematic review provides consensus guidelines for the use of RT as prophylaxis of HO based on current peer-reviewed evidence in the literature.

Introduction Correct inhaler technique is of utmost importance in the optimal delivery of therapeutics utilized for respiratory illnesses. Previous research suggests that the ability of both patients and providers to correctly use these inhalers is sub-optimal and is associated with poorer patient outcomes. Further education about inhaler types and technique as part of residency education could serve to correct these trends. Methods Family medicine residents were taught correct inhaler technique with an inhaler training device (In-Check TM DIAL G16) using a didactic lecture with hands-on teaching exercise utilizing pharmacy interprofessional teaching. We assessed pre- and post-intervention comfort and knowledge of correct inhaler technique. Results Twenty of twenty-seven eligible family medicine residents attended an interdisciplinary workshop with clinical pharmacists with the purpose of improving inhaler technique comfort level and knowledge. A pre- and post-knowledge test and comfort questionnaire were provided to those participating. Comfort levels with prescribing different inhaler types increased after the intervention and knowledge of different inhalers improved. Conclusion Use of an inhaler training device coupled with an interdisciplinary lecture format improved provider knowledge of correct inhaler technique and comfort with prescribing inhalers.

Abstract Objective Ceribell Inc.'s point‐of‐care electroencephalographic (EEG) system and artificial intelligence‐based Automated Seizure Burden Estimator (ASBE; ClarityPro) have US Food and Drug Administration clearance for diagnosing electrographic status epilepticus (ESE). The AccuRASE study using ASBE version 6 (V6) showed high negative predictive value (NPV) but limited sensitivity and positive predictive value (PPV) at certain thresholds. Version 8 (V8) is the updated algorithm trained with additional EEG samples. Methods We tested V8 on the previously used rapid‐response EEG test dataset (not used to train V8). Sensitivity, specificity, PPV, and NPV were compared against blinded expert annotations. ESE, ESE and possible ESE (ESE/pESE), electrographic seizures (ESz), and Esz with highly epileptiform patterns (Esz/HEPs) at burden thresholds of >1%, >10%, >20%, >50%, and >90% were analyzed. Additionally, we evaluated the built‐in ESE and ESE/pESE alerts (≥90% over 5 min, ≥20% over 1 h, or ≥10 continuous minutes of seizure). Results V8 showed 100% sensitivity at lower thresholds (>10%–20%) for ESE (V6 .86), without a specificity loss (V8 .9 vs. V6 .85), and retained NPV (V8 1.0 vs. V6 .99). Sensitivity at 50% threshold was .86 for ESE (V6 .71), and specificity was .94 (V6 .91); PPV for ESE was 30% for ESE and 80% for ESE/pESE. The specificity for ESE remained high for 90% burden (V8 .96, V6 .97) but the sensitivity dropped (.29 vs. V6 .43). Sensitivity was lower for ESz/HEPs (.54 → .44 at >10% threshold), although the algorithm is not designed to detect HEPs. Built‐in alert analysis showed significantly improved sensitivity for ESE (.57 → .86); specificity and NPV remained high (>.94). Significance ASBE V8 showed meaningful improvements in sensitivity, continued excellent NPV, and improved built‐in alert accuracy for ESE and ESE/pESE. The best seizure burden threshold for ruling out ESE now is 20% (vs. 10% with V6) and that for ruling in ESE/pESE with reasonable certainty is 50% (vs. 90% with V6).

Abstract Background Helicobacter pylori is a major global pathogen with recognized potential for waterborne transmission. Intermittent water supply affects over one billion worldwide and may promote H. pylori contamination of municipal sources. Whether water supply discontinuity contributes to population-level H. pylori burden has not been examined globally. Materials and Methods We conducted a cross-sectional ecological analysis of 79 countries with matched utility-level water infrastructure data and country-level H. pylori prevalence estimates from a published global meta-analysis. The primary exposure was continuity of water supply (hours/day). Secondary exposures included non-revenue water percentage (NRW %), pipe breaks per utility, and operating cost coverage ratio. Unadjusted and adjusted linear regression models with heteroscedasticity-consistent standard errors were estimated, controlling for basic sanitation coverage and log-transformed population density. A sensitivity analysis used a population-based measure of water availability on demand. Results Greater water supply continuity was independently associated with lower H. pylori prevalence in both unadjusted (β = −0.987, 95% CI −1.669 to −0.305, p = 0.005) and adjusted models (β = −1.125, 95% CI −1.876 to −0.375, p = 0.004). Higher NRW % and lower operating cost coverage were each associated with higher H. pylori prevalence after adjustment. Pipe breaks were not significant in regression models though the Spearman correlation was in the expected direction. Sensitivity analysis produced consistent findings. Conclusion IWS and broader water infrastructure deterioration are associated with higher H. pylori prevalence at the country level. These findings implicate water supply continuity as a potentially relevant environmental determinant of H. pylori transmission and suggest a role for water system investment within long-term gastric cancer prevention strategies.

ABSTRACT Palliative care can be offered concurrently as a treatment option to patients with pulmonary arterial hypertension (PAH) to relieve symptoms and improve quality of life. However, it is infrequently used and is associated with misconceptions. Limited studies have reported patients' perspectives of palliative care as a treatment option for PAH. We conducted a web‐based survey, informed by a brief targeted literature review and input from patients and clinicians, which was completed by adults (≥ 18 years) in the United States (US) with self‐reported PAH. Patients reported demographic and disease variables and their perspectives and experiences with palliative care. Patients self‐reported their Pulmonary Hypertension Functional Class Self‐Report class, EmPHasis‐10, and 6‐min walk test. A total of 200 respondents (86.5% female; mean age 58.5 years) from 42 US states completed the survey between 19 September and 3 October 2023. Most respondents described palliative care as “end‐of‐life care” ( n = 43, 25.7%) and associated it with the need for extra support ( n = 111, 55.5%). Many respondents ( n = 171, 85.5%) had not discussed palliative care services, nor had a palliative care consultation with their healthcare provider (HCP); most had not been offered a consultation ( n = 109/171, 63.7%). Despite this low frequency of discussions, respondents reported feeling comfortable discussing palliative care with their HCPs ( n = 177, 88.5%). The survey results demonstrated that these patients with PAH had limited experiences with palliative care, where palliative care was frequently subject to misinterpretation. These findings emphasize the need for proactive engagement between patients and HCPs to ensure palliative care is optimally used and understood.