Citations

ABSTRACT The hip capsule is a dense, fibrous structure that plays a crucial role in providing hip stability. Its biomechanical function is tied to its complex anatomy, which includes the iliofemoral, pubofemoral, and ischiofemoral ligaments, along with the circumferential fibers of the zona orbicularis. Anatomic and biomechanical studies with advanced imaging and arthroscopic techniques have provided better understanding of the capsular morphology and its contribution to hip stability. Additionally, these studies provide insight into how capsulotomy and subsequent capsular management at the time of hip arthroscopy can potentially influence postoperative outcomes. Growing clinical evidence supports capsular preservation and repair at the time of primary hip arthroscopy and demonstrates the potential negative outcomes of capsular deficiency, such as pain, dysfunction, and instability. This review provides a comprehensive overview of the gross, arthroscopic, radiologic, and biomechanical anatomy of the hip capsule.

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) recently celebrated its 20th anniversary, reflecting two decades of major contributions to Alzheimer's research through open data sharing and longitudinal multimodal assessments. This review synthesizes 122 high‐impact studies using ADNI data or biospecimens from 2023 to mid‐2025 to clarify mechanisms of Alzheimer's disease (AD) progression. Studies describe impairment of glymphatic clearance and the impact of cerebral small vessel disease, trajectories of amyloid beta and tau deposition, inflammation, metabolic disturbances, synaptic dysfunction, and neurodegeneration, leading to cognitive impairment and neuropsychiatric symptoms. Multifactorial contributions from genetic and epigenetic influences, co‐pathologies and comorbidities, and mechanisms of resilience modulate disease progression. Finally, heterogeneity of clinical presentation and disease course is described in the context of multiple contributing factors, highlighting the complexity of AD. By integrating imaging, fluid biomarkers, genetics, and clinical measures, ADNI provides a comprehensive research dataset for unraveling mechanisms underlying AD progression.

Abstract INTRODUCTION White matter lesions on fluid‐attenuated inversion recovery magnetic resonance imaging (FLAIR‐MRI) reflect small vessel disease (SVD) and aid in identifying vascular contributions to impairment and dementia (VCID). Emerging diffusion MRI (dMRI) biomarkers are sensitive to early SVD but the lack of validated approaches for defining dMRI abnormality has limited their clinical utility. METHODS In 3934 participants (8749 observations) from a population‐based sample, we classified 9% as vascular cognitive impairment versus not (VCI+/VCI−) using abnormal FLAIR‐MRI and cognitive testing. We evaluated four distinct dMRI positivity criteria and assessed performance in an independent clinical sample. RESULTS The young referent criterion performed best and yielded an estimated prevalence of dMRI positivity aligned with pathology literature. About 40% of the population were dMRI positive, and these individuals had lower baseline cognition and faster longitudinal decline. Cutpoints were validated in an independent clinical sample. DISCUSSION The proposed dMRI abnormality framework can detect VCID and aid in identification of individuals at risk of VCI.

Abstract Pathogenic variants in cardiomyopathy genes confer substantial disease risk, yet clinical penetrance varies widely. The population-level prevalence, age-specific penetrance, and the extent to which polygenic susceptibility modifies disease risk across diverse ancestries remain poorly defined. This population-based cohort study leveraged genome sequencing and linked electronic health record data from the All of Us Research Program (n=414,830). This study found that P/LP variants in cardiomyopathy-associated genes were present in 0.91% of participants (95% CI, 0.88%–0.94%), with similar prevalence across ancestry groups. Compared with non-carriers, variant carriers had significantly higher odds of all-cause heart failure (ACHF, OR, 2.58; 95% CI, 2.31–2.89), non-ischemic heart failure (NIHF, OR, 2.74; 95% CI, 2.42–3.10), and non-ischemic cardiomyopathy (NICM, OR, 4.99; 95% CI, 4.44–5.63). Among carriers, by age 50 years, 24.5% (95% CI, 14.5%–33.4%) developed ACHF, 17.2% (95% CI, 8.8%–24.8%) developed NIHF, and 30.1% (95% CI, 19.5%–40.2%) developed NICM. Higher polygenic risk for heart failure was independently associated with increased risk of ACHF (OR, 1.81; 95% CI, 1.74–1.89), NIHF (OR, 1.66; 95% CI, 1.58–1.75), and NICM (OR, 1.69; 95% CI, 1.59–1.80). Among carriers with elevated polygenic risk, odds of disease were substantially higher than among non-carriers at average polygenic risk (ACHF: OR, 4.71; 95% CI, 4.17–5.32; NIHF: OR, 4.56; 95% CI, 3.99–5.22; NICM: OR, 8.51; 95% CI, 7.44–9.73). Results showed that P/LP variants in cardiomyopathy genes were relatively common in this large, ancestrally diverse cohort, and conferred increased risk of cardiomyopathy and HF, with incomplete but clinically meaningful penetrance. Polygenic risk for HF independently and additively increased disease risk across ancestries. Integrating both may improve risk stratification and enable more precise, equitable care.

ABSTRACT Background Academic departments in medicine face increasing pressure to balance clinical productivity with their broader academic missions, including education, scholarship, mentorship, and service. While clinical work is routinely quantified through relative value units (RVUs), non‐clinical academic contributions are inconsistently measured and often undervalued. Academic Value Unit (AVU) systems have emerged as frameworks to quantify these activities, but adoption remains limited due to inconsistent funding models, lack of standardized frameworks, and minimal evidence demonstrating outcomes such as faculty satisfaction, retention, or return on investment (ROI). Methods This concept paper synthesizes current AVU implementation strategies in emergency medicine and proposes an evidence‐informed six‐step framework for AVU design, funding, and sustainability. The framework was informed by a literature review, analysis of institutional dashboards, and multi‐institutional input from the Society for Academic Emergency Medicine (SAEM) community, including feedback from a national didactic session at the 2025 SAEM Annual Meeting. Results The proposed framework outlines practical steps for AVU implementation: defining mission‐aligned domains, identifying measurable academic activities, establishing transparent weighting systems, integrating real‐time tracking dashboards, developing sustainable blended funding models, and engaging leadership and faculty through iterative review. The model incorporates customizable templates, adaptable activity menus, and suggested ROI metrics that departments can tailor to local institutional priorities and resources. Conclusions AVU systems offer a structured approach to recognizing and incentivizing non‐clinical academic contributions in emergency medicine. A transparent, mission‐aligned framework supported by sustainable funding and measurable ROI metrics may enhance faculty engagement, equity, and long‐term departmental sustainability. Future work should focus on establishing validated benchmarks for AVU weighting, integrating AVUs with faculty development and wellness initiatives, and evaluating longitudinal outcomes such as retention, satisfaction, and equity.

Abstract The Atherosclerosis Risk in Communities (ARIC) study started in 1987‐1989 (visit 1), when participants from four U.S. communities were 45‐64yo. Participants have been seen at up to 10 additional in‐person visits with annual/semi‐annual telephone calls to ascertain clinical events, hospitalizations, and other health outcomes. In 2011‐2013, at ARIC visit 5, the ARIC Neurocognitive Study (ARIC‐NCS) was initiated for surviving participants, incorporating neuropsychological assessments at multiple in‐person visits and informant interviews to support cognitive adjudication. A subset of participants have undergone brain MRI with measurement of brain volumes, cortical thickness, arterial disease and vascular lesions, with a smaller subset having brain florbetapir PET. Blood‐based Alzheimer's disease (AD) biomarkers are available at multiple visits along with extensive measurement of vascular risk factors, vascular markers, and ‐omic (e.g.genomic and proteomic) data. This presentation will focus on the available data in ARIC, the methods underlying its collection and subsequent analysis, and some of the primary contributions of this study to the field. With 37 years of follow‐up, a great strength of ARIC is the ability to evaluate risk factors in midlife; ARIC studies have supported an association of midlife hypertension, diabetes, physical inactivity, and other vascular risk factors with reduced dementia risk, even among those with increased genetic risk for dementia. ARIC studies have demonstrated associations between stroke and dementia, and have linked vascular risk factors with blood‐based and imaging biomarkers of AD‐related dementias. ARIC has demonstrated the importance of hearing loss in dementia risk, and a subset of ARIC participants were recruited into (and were those who most benefited from the intervention of) the ACHIEVE study of hearing aid use for reduction of dementia. Proteomic studies have identified markers of dementia risk when evaluated in midlife. Recently, ARIC data informed updated estimates on lifetime risk of dementia, where it was estimated that among individuals surviving beyond age 55, 42% would develop dementia over their lifetime through age 95. ARIC studies continue to focus on risk factors for dementia, particularly now in the oldest old, and on contributors to cognitive reserve and resilience. ARIC follows a model of data sharing and broad collaboration.

Abstract The Mayo Clinic Center for Clinical and Translational Science Rural Health Research Core emphasizes community engagement to address healthcare access and delivery. In 2023, the Midwest Rural Health Research Community Advisory Board (CAB) was established to guide research. Eleven of 13 researchers presenting to the CAB in 2023 completed a survey assessing influence of CAB feedback across seven domains. All reported >1 domain influenced by CAB feedback, most commonly on study design, pre-research activities and implementation. CAB feedback shaped many aspects of the rural health research process. CAB members valued seeing how their input contributed to the research process.