Citations

ABSTRACT Objectives Dravet syndrome (DS) is a severe, drug‐resistant developmental and epileptic encephalopathy (DEE) that requires polytherapy for adequate seizure control. The need to combine multiple antiseizure medications (ASMs), together with variability in seizure types, safety considerations, and evolving patient needs, makes treatment optimization particularly complex for clinicians. As the United States (US) has one of the largest populations of DS patients and pediatric neurologists/epileptologists worldwide, this study aimed to develop US‐focused consensus guidance to guide clinicians in managing treatment combinations in DS. Methods A modified Delphi consensus methodology was applied. 35 statements tailored to the US clinical context were developed, covering six key themes: general treatment principles; strategies to support and empower caregivers; stiripentol (STP) as an add‐on to DS‐specific and nonspecific ASMs; use of fenfluramine (FFA) in STP‐containing regimens; use of cannabidiol (CBD) in STP‐containing regimens; and patient follow‐up during treatment initiation. Statements were submitted for online voting to 52 US clinicians with expertise in DS and experience with all approved DS‐specific ASMs. Agreement was rated using a 9‐point Likert scale, with predefined criteria used to determine strong, good, or absent consensus. Results 26 experts participated in the voting process. Of the 35 statements evaluated, 23 (66%) reached strong consensus, 6 (17%) reached good consensus, and 6 (17%) did not reach consensus. Strong agreement was observed for general principles of DS management, caregiver involvement, structured follow‐up, and several practical aspects of initiating and managing STP‐ and FFA‐containing regimens. Areas without consensus primarily concerned CBD efficacy expectations, dosing strategies, and pharmacokinetic interactions in complex polytherapy regimens. Significance This US‐focused consensus provides structured guidance to support clinical decision‐making in the management of polytherapy for DS. Plain language summary Dravet syndrome is a rare and severe form of epilepsy that begins in early childhood and causes seizures that are difficult to control and often persist throughout life. Because most patients require treatment with multiple medications, managing Dravet syndrome is complex and must adapt as patients grow and their needs change. This US‐focused consensus brings together published evidence and expert clinical experience to provide practical guidance on the management of polytherapy in Dravet syndrome, supporting clinicians in optimizing patient care.

Abstract Objectives This study used both researcher and patient perspectives to identify high-priority research questions related to clinical reasoning. Methods This study integrates findings from two previously published research prioritization exercises aimed at advancing the science of diagnostic safety, focusing on questions relevant to clinical reasoning. In Study 1 (April 2019), 97 researchers submitted 177 unique research questions that could be useful “to reduce patient harm in the diagnosis process”. In Study 2 (November 2019), 41 patients/caregivers/advocates submitted 84 unique research questions on the same topic. In an in-person meeting, a subset of these participants identified 81 of these questions as high-priority (51 from Study 1; 30 from Study 2). For the current study, five investigators identified questions that focused on clinical reasoning, first independently and then by consensus. They then categorized the clinical reasoning questions into inductively identified themes. Results Twenty-nine of the 81 high-priority research questions addressed clinical reasoning and were categorized into 5 themes: understanding clinical reasoning and cognition (12 questions), decision support/technology (6 questions), team-based decision making (5 questions), how to learn from cases/scenarios (3 questions), and patient engagement (3 questions). Questions addressed a range of basic/foundational science and clinical applications, and involved individuals, teams, and/or systems. Conclusions Identification of high-priority clinical reasoning research questions can help medical educators, clinicians, researchers, and funders catalyze research and discovery of interventions to improve clinical reasoning and ultimately improve patient outcomes.

Abstract Concerns about declining gray fox (Urocyon cinereoargenteus) populations in the Midwest, United States, prompted a petition to list the prairie gray fox subspecies (Urocyon cinereoargenteus ocythous) under the US Endangered Species Act. Although previous studies identified a deep phylogenetic break between eastern and western lineages of the gray fox at the Great Plains Suture Zone, population structure within the Midwest remains poorly understood, complicating subspecies classification. To address this, we genotyped 339 individuals from the eastern lineage of the gray fox using single nucleotide polymorphisms (SNPs) generated from 2bRAD genomic sequencing to assess genetic diversity and structure. Bayesian clustering and principal component analysis supported three genetic clusters (K = 3), revealing a cryptic break within Missouri that subdivides the morphologically defined range of U. c. ocythous and a secondary break coinciding with the Mississippi River and the currently accepted subspecies boundary. However, low pairwise FST values and admixture indicate weak overall genetic differentiation with ongoing gene flow, whereas declining genetic diversity at northern latitudes is reflective of founder effects from post-glacial population expansion. Consistent with prior mitochondrial DNA (mtDNA) results, nuclear SNP data suggest that U. c. ocythous and Urocyon cinereoargenteus cinereoargenteus are unlikely to represent distinct evolutionary units. However, because 2bRAD detects primarily neutral variation, whole-genome sequencing will be needed to test for adaptive divergence that might persist despite gene flow. Our findings provide an important step toward a comprehensive understanding of population structure and refining subspecies boundaries within the eastern lineage of the gray fox.

Abstract Sepsis is a multi-system physiological syndrome defined as a dysregulated host response to infection. Despite recent advances clinicians continue to depend on clinically or physiologically defined syndromes as poor classifiers and therefore fail to accurately predict outcome or responses to treatment. Recent studies suggest that advances in screening, diagnosis, prognosis, and treatment of sepsis can be used to tailor immunomodulatory therapies. In the present narrative review, we critically analyze important academic literature published between January 2025 and June 2026 with a focus on epidemiology, screening, diagnosis, prognosis and personalized management. We believe that sepsis care will soon be defined by the convergence of rapid diagnostics, multi-omics profiling, and artificial intelligence, enabling a shift from generalized treatment approaches toward truly personalized, dynamic patient management. While the scientific and technological foundation for this transformation is emerging rapidly, clinical validation using innovative (adaptive) clinical trial design is required. Successful implementation within routine care will require multidisciplinary collaboration, robust infrastructure, clinician and patient engagement, and healthcare systems capable of integrating innovation into practice. The coming years may see a paradigm shift in sepsis management comparable to advances observed in personalized management of malignancies.

Abstract Background Molecular underpinnings and clinical characteristics of ERBB2/HER2-mutated colorectal cancers (CRCs) remain poorly understood. We aimed to comprehensively characterize the genomic landscape and clinical features of ERBB2/HER2-mutated CRC and to compare them with those of ERBB2/HER2-amplified CRC. Patients and methods We analyzed cBioPortal data from 4348 CRC patients with available ERBB2/HER2 profiling. Clinicodemographic features, microsatellite instability (MSI), tumor mutational burden, and alterations in 94 cancer-associated genes were evaluated using chi-square/Fisher’s exact test, Kruskal–Wallis test, and hierarchical clustering. Results ERBB2/HER2 putative driver mutations were identified in 95 patients (2.2%), amplifications in 87 (2.0%), and wild-type status in 4166 (95.8%). In the overall cohort, ERBB2/HER2-mutated tumors demonstrated significant KRAS enrichment (50.5%) compared to wild-type (37.7%; P = .014) and amplified tumors (18.4%; P < .001), alongside MSI enrichment (37.2% vs 1.6%; P < .001), elevated tumor mutational burden, and right-sided predominance. ERBB2/HER2-mutated tumors also showed broad driver co-alterations largely reflecting their MSI background. In contrast, ERBB2/HER2-amplified tumors exhibited left-sided predominance, with microsatellite stable (MSS)-restricted analyses revealing selective mutual exclusivity with KRAS (Log2 OR = −1.58; q = 0.019) and TP53 co-occurrence (Log2 OR = 2.04; q = 0.019). Hierarchical clustering confirmed that mutated and amplified tumors consistently occupy separate clusters across anatomical sites. Conclusion ERBB2/HER2 mutations and amplifications represent molecularly and clinically distinct subgroups. ERBB2/HER2-mutated tumors are characterized by an MSI-enriched, hypermutated background with frequent concurrent KRAS alterations, whereas amplified tumors exhibit selective KRAS mutual exclusivity and TP53 co-occurrence. These exploratory findings support alteration-specific therapeutic strategies in CRC.

Medial ulnar collateral ligament (MUCL) injuries of the elbow have increased over the past 2 decades, particularly among adolescent and young adult overhead throwing athletes. Over time, operative techniques for MUCL injuries have evolved, with the goals of improving time to return and rates of return to sport and meeting athlete-specific demands. The purpose of this review is to evaluate the state of surgical management of MUCL injuries, assessing indications, techniques, and outcomes. Surgical techniques reviewed included MUCL-augmented repair with internal bracing, traditional reconstruction, reconstruction augmented with internal bracing, and revision MUCL reconstruction. While MUCL reconstruction has been the gold standard of treatment, augmented reconstruction and repair techniques have shown promising outcomes; these strategies emphasize anatomic restoration, preservation of native tissue, and individualized patient selection.

Background:Aortic valve replacement is the primary treatment for aortic valve disease and can be performed using either transcatheter (TAVR) or surgical (SAVR) approaches. The risk of aortic dissection (AD) with TAVR compared with SAVR remains unclear. We aimed to compare AD risk between TAVR and SAVR using a large, real-world cohort. Methods:We conducted a retrospective cohort analysis using the TriNetX research network. Patients with a diagnosis of aortic stenosis, aortic insufficiency, mixed aortic valve disease (AVD), or unspecified AVDwho underwent either TAVR or SAVR were included. A 1:1 propensity score-matching (PSM) based on baseline characteristics was performed to adjust for potential confounding. Logistic regression and Cox proportional hazards models were used to estimate odds ratios (ORs) and hazard ratios (HRs), with 95% confidence intervals (CIs).Results:Among 95,043 patients undergoing isolated aortic valve replacement, 20,237 matched pairs were analyzed after 1:1 PSM. Baseline characteristics were well balanced, with a mean age of 73.3 ± 9.3 years in the TAVR group and 73.2 ± 8.5 years in the SAVR group; 60.8% and 60.7% were male, respectively. TAVR was associated with significantly lower odds of composite AD than SAVR at all time points (1-year OR 0.60; 95% CI 0.44–0.82; 3-year OR 0.64; 95% CI 0.48–0.83; 5-year OR 0.66; 95% CI 0.51–0.85; p < 0.01 for all). Stratified analyses demonstrated lower odds of both Stanford type A and type B AD at all time points. Kaplan–Meier analysis demonstrated a separation in composite AD-free survival between the two groups (HR 0.66; 95% CI 0.51–0.86; p = 0.002).Conclusion:In this large, real-world cohort, despite a low event rate, TAVR was associated with a significantly lower likelihood of composite AD than SAVR.