Citations

Abstract Introduction Combat casualty care requires standardized proficiency criteria to ensure readiness in austere environments, yet gaps persist in defining performance thresholds for critical trauma skills. The Combat Medical Skills Sustainment Consortium (CMSSC), a novel military-civilian collaboration, aimed to validate competency thresholds for 21 Department of Defense-identified trauma skills. Materials and Methods A prospective cohort study (2022-2025) enrolled 1,495 military and civilian personnel across five academic centers, stratified by experience (novice, intermediate, expert). Skills, including cricothyroidotomy, whole blood transfusion, and ultrasound-guided vascular access, were assessed using validated checklists in Role 2-congruent simulations. Statistical analysis compared checklist performance against participant experience with a priori checklist scores estimated at 40% (novices) and 90% (experts). Results Competency thresholds were established, ranging from 77% (mechanical ventilation) to 100% (handoff). Experts achieved 85%-98% proficiency across most skills, with novices at 34%-97%. A ceiling effect was observed for less complex skills consistent with the power law of practice. Conclusion The Combat Medical Skills Sustainment Consortium validated standardized assessment tools, with potential to address readiness gaps through military-civilian synergy. Findings support consortium-guided curriculum development and highlight the need for longitudinal skill decay studies. Impact This study sets a benchmark for trauma care skills assessment, facilitating rapid adoption across military and civilian settings.

Background: Understanding personal and geographic factors associated with smoking is important to design and implement interventions focused on reducing cancer health disparities. Scant research has been published recently regarding factors associated with smoking history associations within rural communities. Purpose: To examine demographic factors and rural residence history for associations with smoking history. Methodology: In a cross-sectional study of cancer-related behaviors, 1,786 adults (mean age 47.9 ± 17.5 years; 53% female, 84% White) completed an online survey in 2020. We examined factors associated with smoking history (having smoked at least 100 cigarettes) using independent t-tests, chi-square tests, and logistic regression. Results: Of the participants, 36% had a rural residence history and 49% had a smoking history. A larger proportion of men than women (61% vs. 37%; p < .001), White than Black participants (50% vs. 39%; p = .001), and rural than nonrural residents (53% vs. 46%; p = .005) had a smoking history. Logistic regression analysis revealed that the young age group (18–30) was less likely ( p = .002), whereas the middle age group (31–50) was more likely ( p < .001) to have a smoking history than those older than 50 years. Rural residence was associated with a smoking history among women ( p < .001), but not among men ( p = .70) in this sample. Conclusions: Tobacco control efforts are needed to focus on middle-aged men in general and women with rural residence history. Implications: Nurse practitioners are uniquely positioned to directly contribute to future research with self-identified rural populations that could help inform future public health policy.

This cohort study evaluates the reduction in risk of high-grade serous carcinoma among women undergoing opportunistic bilateral salpingectomy in Canada.

Importance Treatment for cognitive dysfunction due to postacute sequelae of long COVID (ie, symptoms of fatigue, malaise, weakness, confusion that persist beyond 12 weeks after an initial COVID infection) remains a significant unmet need. Objective To test evidence-based rehabilitation strategies for improving cognitive symptoms in persons with long COVID. Design, Setting, and Participants This was a 5-arm, multicenter, randomized clinical trial of 3 remotely delivered interventions conducted between August 17, 2023, and June 10, 2024. The study took place at 22 trial sites and included the screening of individuals with cognitive long COVID. Interventions Participants were randomized to 1 of 5 arms: adaptive computerized cognitive training (BrainHQ [Posit Science]), cognitive-behavioral rehabilitation involving both group and individual counseling sessions (PASC-Cognitive Recovery [PASC-CoRE]) paired with BrainHQ, and transcranial direct current stimulation (tDCS) paired with BrainHQ. Two comparator arms were included as follows: unstructured computer puzzles and games (active comparator) and sham tDCS paired with BrainHQ. The interventions occurred 5 times per week over 10 weeks. Main Outcomes and Measures Cognitive and behavioral in-person assessments were performed at baseline, midintervention, at the end of intervention, and 3 months after the end of the intervention. The primary outcome measure was the modified Everyday Cognition Scale 2 (ECog2) completed at the end of the intervention compared to the baseline visit based on participant self-report looking back over the prior 7 days. Results A total of 378 individuals were screened, from which there were 328 participants (median [IQR] age, 48.0 [37.0-58.0] years; 241 female [73.5%]; race: 15 Asian [4.6%], 47 Black [14.3%], and 235 White [71.6%]; ethnicity: 52 Hispanic [15.9%]). None of the 3 active interventions demonstrated benefits on the modified ECog2 in the intention-to-treat population by the end of the intervention period. The adjusted differences in mean change were 0.0 (95% CI, −0.2 to 0.2) for BrainHQ vs active comparator, 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs active comparator, 0.0 (95% CI, −0.2 to 0.2) for tDCS-active + BrainHQ vs tDCS-sham + BrainHQ, and 0.1 (95% CI, −0.1 to 0.3) for PASC-CoRE + BrainHQ vs BrainHQ alone. Secondary participant-reported outcomes and neuropsychological tests showed no differential benefits for any treatment arm. All 5 arms demonstrated some improvements over time on the modified ECog2 and on secondary outcomes. There were no serious adverse events attributable to the interventions. Conclusions and Relevance This phase 2 randomized clinical trial failed to demonstrate differential benefits for online cognitive training, a structured cognitive rehabilitation program, and tDCS for cognitive long COVID. Trial Registration ClinicalTrials.gov Identifier: NCT05965739 .

The treatment landscape of invasive early-stage and metastatic breast cancer is evolving constantly. These NCCN Guidelines Insights focus on recent updates included in the most recent version (version 5.2025) of the NCCN Guidelines for Breast Cancer specific to workup, locoregional therapy, surveillance, and systemic neoadjuvant/adjuvant therapy recommendations for invasive, nonmetastatic breast cancer.

Abstract INTRODUCTION The Consortium for Clarity in Alzheimer's disease related dementias (ADRD) Research Through Imaging (CLARiTI) is a study that aims to collect standardized imaging and plasma biomarkers on 2000 Clinical Core participants enrolled across all Alzheimer's Disease Research Centers (ADRC) sites. We sought to summarize the known heterogeneity across centers regarding scientific focus and initial enrollment plans for CLARiTI. METHODS We developed and distributed a survey capturing information on the 36 CLARiTI site's theme/expertise, recruitment plans, and the intersection of CLARiTI with other ADRC imaging efforts. RESULTS Anticipated CLARiTI enrollees spanned 11 different categories of suspected etiologies underlying impairment. A wide range of risk factors were endorsed across sites regarding the enrollment of unimpaired individuals. Variability also existed regarding site‐level strategies in enrollment into CLARiTI versus other imaging efforts. DISCUSSION We anticipate that the 2000 individuals that will enroll into CLARiTI will reflect the clinical heterogeneity already in place across the ADRC network. Highlights The ADRC Consortium for Clarity in ADRD Research Through Imaging (CLARiTI) will leverage and contribute to the existing Alzheimer's Disease Research Centers (ADRC) program by supporting standardized imaging and plasma collection across all centers. We summarize the variation in scientific focus and enrollment plans across ADRC sites participating in CLARiTI. The anticipated CLARiTI cohort will reflect the clinical heterogeneity that already exists across the ADRC network. CLARiTI will contribute to scientific goals related to the detection of multi‐etiological signatures relevant for Alzheimer's disease and related disorders (ADRDs).

Abstract Background and Aims Patients with catecholaminergic polymorphic ventricular tachycardia (CPVT) are at risk for potentially life-threatening arrhythmic events (AEs) even while treated with β-blockers. The aim was to develop a model for individualized prediction of AEs in patients with RYR2-mediated CPVT on β-blocker monotherapy. Methods The derivation and independent validation cohorts included 743 and 129 patients, respectively. AEs were defined as arrhythmic syncope, appropriate implantable cardioverter–defibrillator shock, sudden cardiac arrest (SCA), and sudden cardiac death. Near-fatal or fatal AEs (nf/fAEs) included all AEs except for arrhythmic syncope. Prediction models using Cox regression were developed and internally and externally validated. Results A total of 102 (13.7%) patients in the derivation cohort and 24 (18.6%) patients in the validation cohort experienced ≥1 AE over a median follow-up of 5.1 [interquartile range (IQR), 7.7] and 2.4 (IQR, 4.4) years, respectively. Predictors of AE were arrhythmic syncope or SCA prior to diagnosis and age at β-blocker initiation. In the derivation and validation cohorts, the optimism-corrected C-indices of the models for AE were 0.67 [95% confidence interval (CI) 0.62–0.72] and 0.59 (95% CI 0.48–0.71), respectively. For nf/fAEs, ventricular arrhythmia severity before β-blocker initiation was a fourth independent predictor, and C-indices of the models in the derivation and validation cohorts were 0.74 (95% CI 0.68–0.80) and 0.60 (95% CI 0.47–0.72), respectively. In the derivation cohort, calibration slopes were 1.00 (95% CI 0.59–1.41) for AE and 1.00 (95% CI 0.69–1.32) for nf/fAE. Conclusions These externally validated risk prediction models using clinical parameters accurately distinguished CPVT patients on β-blocker monotherapy at low and high risk for future AEs while treated with β-blockers. These models provide guidance for implementation of clinical management therapies to prevent AEs in patients with CPVT.

Abstract Rural health disparities in the United States remain poorly understood, in part due to inconsistent definitions of “rurality” and the failure to integrate both geographic and socially constructed dimensions of place. This commentary draws from insights shared during the panel “Addressing Diversity in Cancer Prevention, Control, and Survivorship Within Rural Communities” at the 2024 Transforming Community and Rural Healthcare (TCRH) conference. Panelists emphasized the limitations of current rural-urban classification systems, which often overlook the intersectional identities, cultural heterogeneity, and lived experiences of rural populations. They advocated for integrating community-based participatory research (CBPR) and identity-based approaches to define rurality more holistically. Such methods prioritize self-identification, social determinants of health (SDOH), and localized knowledge, allowing for a more accurate assessment of cancer disparities and the development of equitable interventions. The commentary outlines how geophysical and census-based metrics, although convenient, can misrepresent rural communities and inadvertently perpetuate disparities in cancer care access, outcomes, and policy. The authors argue for an identity- and community-centered conceptualization of rurality that is dynamic, inclusive, and responsive to the complexity of rural life.

ABSTRACT Suicidality contributes substantially to global morbidity and mortality, yet despite its heritability, its biological etiology remains largely elusive. We conducted multi-ancestry genome-wide association study meta-analyses of suicidal ideation (259,747 cases), suicide attempt (64,993 cases), suicide death (9,197 cases), and suicidal behavior (suicide attempt/ death, 75,300 cases), across 54 cohorts (e.g., the Psychiatric Genomics Consortium, Million Veteran Program, UK Biobank). We identified 77 significant loci across meta-analyses, including 59 previously unreported for suicidality. SNP-based heritability ranged from 2.0-6.7% and there were strong, yet incomplete, genetic correlations between suicidality phenotypes (0.70-0.88). Fine-mapping prioritized putative causal SNPs and 20 credible genes. Enrichment analyses implicated synaptic pathways and neuronal populations predominantly in subcortical brain regions (e.g., amygdala excitatory, medium spiny, hippocampal CA1-3). Together, these findings establish suicidality as a polygenic set of traits with both shared and distinct genetic influences, providing a foundation for future studies of suicide biology and etiology.