Citations

Abstract The lung, one the largest branching organs in our body and vital for survival at first breath, is commonly known as the gas-exchange organ. Recent novel findings on lung sensing cells, molecules, and lung-brain crosstalk in the emerging discipline of interoception have highlighted the consideration of the lung as a sensory organ. Acknowledging the central importance of lung sensing to human health and disease, NHLBI convened a workshop to synthesize the past, current, and future of lung sensing research, with in-person presentations by ∼20 interdisciplinary experts and a large virtual audience. Here, we highlight the key topics discussed and summarize a blueprint for the future in this important field.

Objectives: The electroconvulsive therapy for the acute management of severe agitation in dementia (ECT-AD) trial is a multisite study evaluating the effectiveness of ECT for severe agitation in individuals with advanced dementia. Given that participants lack decisional capacity because of advanced cognitive impairment, the trial required a structured and ethically sound approach to obtaining informed consent and assent across jurisdictions with differing legal requirements, including Massachusetts, New York, Georgia, Minnesota, and Michigan. This paper describes the approach used in the study. Methods: We describe the consent framework developed for the ECT-AD trial, including procedures for identifying legally authorized representatives, complying with state-specific laws for ECT consent, obtaining surrogate consent for research participation, and assessing patient assent and dissent using a standardized tool. Conclusions: The approach used in this study may serve as a practical model for future research involving individuals without decision-making capacity and legally complex interventions such as ECT.

BACKGROUND: The EARLY TAVR trial (Evaluation of TAVR Compared to Surveillance for Patients with Asymptomatic Severe Aortic Stenosis) demonstrated that early transcatheter aortic valve replacement (TAVR) was superior to clinical surveillance (CS) in asymptomatic severe aortic stenosis. The relative impact of early TAVR versus CS strategy by age is unknown. METHODS: The study population of the EARLY TAVR trial was stratified into 4 age groups: 65 to 69 years (n=141), 70 to 74 years (n=263), 75 to 79 years (n=250), and ≥80 years (n=247). Associations between age and the trial primary end point of death, stroke, or unplanned cardiovascular hospitalization; the composite end point of death, stroke, or heart failure hospitalization; and its individual components were examined. Interaction tests evaluated whether the treatment effect of early TAVR versus CS differed by age. RESULTS: No interaction was detected between age and the treatment effect of early TAVR versus CS for the composites or individual outcomes. We observed lower stroke rates with early TAVR compared with CS in the youngest (65–69 years, absolute risk reduction, 13%; P =0.008) and oldest (≥80 years; absolute risk reduction, 12.3%; P =0.029) age groups. The absolute difference in heart failure hospitalization rates between the early TAVR and CS arms at 2 years was greatest in the oldest patients (≥80 years, 9.1%; 75–79 years, 5.9%; 70–74 years, 5.1%; 65–69 years, 4.4%). In the CS group, time to conversion to AVR was similar across all age groups (median, 11 months; P =0.73). Approximately one-third of younger patients (65–69 years) in the CS arm presented with acute valve syndrome at the time of conversion, the frequency of which tended to increase with age ( P =0.06). CONCLUSIONS: In the EARLY TAVR trial, the relative benefit of early TAVR over CS was consistent among all age groups. The greatest absolute reduction in stroke rate with early TAVR compared with CS appeared in the youngest and oldest groups, whereas reduction in heart failure hospitalization was most pronounced in the oldest patients. These data suggest that early TAVR should be considered in all age groups above 65 years. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03042104.

Abstract Background Distal (ileal) metabolic bariatric surgeries (DMBS) have gained increasing adoption due to their enhanced metabolic effects. However, the absence of standardized definitions, classification, and clinical indications limits their consistent application. This consensus aimed to establish an international consensus on the definition, classification, indications, and postoperative management of DMBS. Methods A three-round modified Delphi study was conducted including international expert surgeons from 16 countries. A total of 98 statements were developed across three domains: procedural characteristics, patient selection, and postoperative follow-up. Consensus was defined as ≥75% agreement. Statements not reaching consensus were revised and resubmitted. Results Consensus was achieved on 81 statements. DMBS were defined as procedures involving gastro-ileal or duodeno-ileal bypass, emphasizing ileal stimulation as a key metabolic mechanism. Procedures with a common channel ≤350 cm, including single-anastomosis duodenal-ileal with SG (SADI-S), single anastomosis sleeve-ileal transit bipartition (SASI), sleeve gastrectomy with Roux-en-Y transit bipartition (SG+TB), and biliopancreatic diversion with duodenal switch (BPD-DS), as well as one-anastomosis gastric bypass (OAGB) with biliopancreatic limb > 50% of total small bowel length were classified as DMBS. Routine measurement of total small bowel length was strongly recommended. DMBS were considered appropriate as primary procedures in patients with BMI ≥40 kg/m² with comorbidities, a BMI ≥50–60 kg/m², irrespective of the presence of comorbidities, and as revisional options for suboptimal clinical response (SoCR), recurrent weight gain (RWG), or persistent metabolic disease. Comprehensive preoperative and multidisciplinary evaluation was deemed mandatory, and liver cirrhosis, heart failure, end-stage kidney disease, and inflammatory bowel disease were considered contraindications. Postoperative care requires lifelong multidisciplinary follow-up, with increased attention to nutritional deficiencies and supplementation. Conclusions This consensus provides a standardized framework for DMBS, supporting harmonization of practice and improved patient safety.

Abstract Background Preparing tumor board patient summaries is time intensive. Large-language-model based systems may automate summarization but require real-world evaluation prior to clinical use. We performed an exploratory retrospective evaluation of the Microsoft Healthcare Agent Orchestrator (HAO), deployed in a Mayo Clinic–controlled staged environment, to generate tumor board–style patient summaries from retrospective Electronic Health Record (EHR) notes. Methods HAO generated summaries for breast, hepatobiliary, and neuro-oncology tumor board cases using up to the most recent 1,000 clinical notes. Clinician reviewers evaluated outputs via REDCap surveys across perceived factuality, completeness, clarity/conciseness, temporal cohesion, comparative performance, safety, and clinical utility (0–4 Likert scale). Reviewers were permitted to query the HAO chat interface to address missing details. Automated factuality was assessed using TBFact (bidirectional entailment), reporting precision and recall against available reference summaries. Results Among 57 survey responses from 5 different physicians, mean scores exceeded 2.8 across domains, with medians of 3 for most axes. In an exploratory comparison, oncology fellows required less time to review HAO-generated summaries than to manually generate patient summaries (mean difference 13.57 minutes per patient, p<0.001), although this difference may be influenced by prior familiarity with the same cases; 96% of survey responses indicated that HAO would save time. TBFact evaluations showed higher recall than precision across domains, consistent with broad capture of reference content alongside additional content that was not present in gold-standard summaries. Attribution was viewed favorably but showed issues with primary-source specificity and link reliability. Conclusions In a controlled Mayo environment, HAO demonstrated moderate performance and was associated with reduced review time for tumor board preparation. These findings are promising but preliminary and do not establish clinical safety, noninferiority to manual review, or readiness for routine clinical use. Limitations, including verbosity, specialty-specific content gaps, and inconsistent attribution, highlight the need for iterative refinement and further evaluation. Graphical Abstract Created using ChatGPT

Abstract Epilepsy affects more than 50 million individuals globally and has a substantial genetic component that remains to be completely understood. Traditional studies have focused on severe, early onset cases enrolled through clinical or research settings. Recent biobank‐based approaches, leveraging large‐scale population datasets, offer opportunities to explore genetic associations in broader epilepsy phenotypes, including milder, later onset forms. We analyzed data from more than 750 000 individuals across the UK Biobank, All of Us, and Massachusetts General Brigham Biobank, including 20 026 individuals with epilepsy. Rare coding variant burden testing revealed a significant association with LGI1 , a known epilepsy gene. Among the other top 10 associated genes, seven had prior evidence linking them to epilepsy ( GABRG2 , ATP1A3 ), neurological disorders with comorbid seizures ( HTRA2 , KRIT1 , STAG1 ), possible involvement in seizure phenotypes ( ADAM23 ), or roles in neuronal function ( PDCD4 ). Thus, we provide the first statistical evidence for ADAM23 as a candidate gene for epilepsy, based on the suggestive association signal combined with prior biological evidence from both animal (canine and murine) and one recent human epilepsy case study, potentially contributing to human epilepsy through its direct interaction with LGI1 . Phenome‐wide analyses highlighted the pleiotropic effects of epilepsy genes, with LGI1 and ADAM23 predominantly associated with epilepsy, whereas other genes such as KRIT1 , TSC1 , and TSC2 exhibited broader systemic involvement. Our study shows the potential of population‐scale genomic data and suggests that integrating these datasets with deep phenotyping will uncover more novel insights into epilepsy genetics in the future.

e20761 Background: The prognostic role of serial circulating tumor DNA (ctDNA) dynamics during osimertinib treatment has been described mainly in Asian and European populations; however, it remains poorly defined in Hispanic patients with advanced EGFR-mutant non–small cell lung cancer (NSCLC). Our aim was to determine whether serial plasma EGFR testing identifies patients at high risk of early mortality. Methods: This multicenter, retrospective study included 64 Hispanic patients with stage IIIB–IV EGFR-mutant NSCLC treated with first-line osimertinib between 2018 and 2023. Tumor tissue genotyping was performed using hybrid-capture next-generation sequencing. Plasma EGFR mutations were assessed at baseline, week 8, and week 24. Overall survival (OS) and progression-free survival (PFS) were analyzed using Cox models adjusted for p53 status, RAF-pathway alterations, and metastatic burden. Results: The cohort had a median age of 61 years, with 65.6% of patients being female and 56.2% being never-smokers. Sensitizing EGFR mutations consisted mainly of exon 19 deletion (59.4%) and L858R (39.1%). Relevant co-mutations were identified in TP53 (29.7%) and RAF-pathway genes (6.2%). Plasma ctDNA remained positive in 42.2% of patients at week 8 and 22.0% at week 24. Week-8 ctDNA persistence was strongly associated with an inferior OS (HR 9.36, 95% CI 3.80–23.03, p < 0.001) after multivariable adjustment. Week-24 positivity also predicted worse OS (HR 3.34, 95% CI 1.13–9.89, p = 0.02). ctDNA status at week 8 or 24 was not significantly associated with PFS. Patients with TP53 or RAF pathway mutations demonstrated higher rates of molecular persistence. Conclusions: In Hispanic patients receiving Osimertinib, ctDNA positivity at 8-24 weeks is able to identify patients with poor survival outcomes. ctDNA monitoring may provide an early, non-invasive biomarker to guide treatment intensification and trial enrollment in EGFR-mutant NSCLC.