Citations

Objective Lewy body disease (LBD) is a complex neurodegenerative disorder characterized by the accumulation of misfolded α‐synuclein in the brain. Neuroinflammation has long been implicated in LBD pathogenesis, and recent genetic studies in Parkinson's disease (a clinical manifestation of LBD) have shown consistent association with the human leukocyte antigen (HLA) gene complex. Here, we assessed whether variation in HLA alleles influences neuropathological burden in a neuropathologically‐defined series of LBD cases. Methods We conducted a comprehensive analysis of HLA allelic variants in a cohort of 539 LBD cases of European descent from the Mayo Clinic brain bank. High‐resolution whole‐genome sequencing was used, and the HLA alleles of each sample were called using the HLA*LA tool and assessed for association with neuropathological outcomes. Results Our analysis identified 1 significant ( P < 3.43 × 10 −5 ) and 4 suggestive ( P < 0.001) associations between certain HLA alleles and specific neuropathological outcomes in LBD, suggesting a potential role for HLA‐mediated immune mechanisms in disease progression and subtype differentiation. Specifically, HLA‐DPB1*06:01 was significantly associated with lower Lewy body counts in the parahippocampal gyrus ( P = 3.30 × 10 −5 ), with weaker and suggestive associations observed in the middle frontal ( P = 1.80 × 10 −4 ) and inferior parietal gyrus ( P = 6.33 × 10 −4 ). Additionally, although only suggestive, HLA‐DRB1*11:01 correlated with a lower Thal amyloid phase ( P = 1.56 x 10 −4 ), and HLA‐B*15:01 correlated with an increased risk of diffuse LBD ( P = 7.58 x 10 −4 ). Interpretation This study provides a detailed evaluation of the relationship between HLA alleles and LBD pathology, highlighting the importance of immune‐related genetic factors in the etiology of LBD. ANN NEUROL 2026;99:492–501

Background: Among cardiac amyloidosis subtypes, transthyretin cardiac amyloidosis (ATTR) has gained increased recognition with the development of disease-specific therapies. Tafamidis, a selective oral stabilizer of the transthyretin tetramer, has emerged as an effective treatment. In the broader heart failure landscape, sodium-glucose cotransporter 2 inhibitors (SGLT2i) have become cornerstone therapies across the ejection fraction spectrum, improving survival and reducing hospitalizations in both HFrEF and HFpEF. However, the clinical benefit of combining Tafamidis with SGLT2i in ATTR remains largely unknown. Hypothesis: Combination therapy with Tafamidis and SGLT2i provides added clinical benefits in patients with ATTR cardiac amyloidosis. Methods: This retrospective cohort study included adults with confirmed ATTR cardiac amyloidosis diagnosed via 99mTc-pyrophosphate scintigraphy and treated with Tafamidis alone or with an SGLT2i across three academic centers from January 2019 to February 2025. Baseline characteristics and outcomes were collected from medical records. The primary endpoint was all-cause mortality. Kaplan-Meier analysis and multivariable Cox proportional hazards modeling were used, adjusting for age, sex, atrial fibrillation, diabetes, hypertension, hyperlipidemia, ejection fraction (EF), and glomerular filtration rate (GFR). Results: Among the 1,211 patients included in the 3-year follow-up analysis,946 received Tafamidis monotherapy and 265 received a combination of Tafamidis and an SGLT2i. The mean age of the cohort was 71.9 years (SD ±9.4), and 87.3% were male. A total of 142 mortality events occurred, with a higher cumulative mortality rate observed in the tafamidis-only group (16.3%) compared to the combination group (9.4%) (log-rank p = 0.042). In the multivariable Cox proportional hazards model, combination therapy with Tafamidis and an SGLT2i was independently associated with a significantly lower risk of mortality (adjusted HR =0.576, 95% CI:0.334–0.992, p =0.04). Additionally, increasing age (HR =1.049, 95% CI:1.024–1.074, p < 0.001) was associated with higher mortality, while EF(HR =0.971, 95% CI:0.958–0.984, p< 0.001) and GFR (HR =0.975, 95% CI:0.965-0.985, p< 0.001) were with lower mortality. Conclusion: Combination therapy with Tafamidis and SGLT2i was associated with improved survival compared to Tafamidis alone in ATTR cardiac amyloidosis. Further prospective trials are needed to validate these findings and guide therapy optimization.

Abstract Objective: The National Institutes of Health (NIH) Executive Abilities: Measures and Instruments for Neurobehavioral Evaluation and Research (EXAMINER) is a validated laptop-based battery of executive functioning tests. A modified tablet version of the EXAMINER was developed on the UCSF Tablet-based Cognitive Assessment Tool (TabCAT-EXAMINER). Here we describe the battery and investigate the reliability and validity of a composite score. Methods: A diagnostically heterogeneous sample of 2135 individuals (mean age = 65.58, SD = 16.07), including controls and participants with a variety of neurodegenerative syndromes, completed the TabCAT-EXAMINER. A composite score was developed using confirmatory factor analysis and item response theory. Validity was evaluated via linear regressions that tested associations with neuropsychological tests, demographics, clinical diagnosis, and disease severity. Replicability of cross-sectional results was tested in a separate sample of participants ( n = 342) recruited from a frontotemporal dementia study. As this separate sample also collected longitudinal TabCAT-EXAMINER measures, we additionally assessed test-retest reliability and associations between baseline disease severity and changes in TabCAT-EXAMINER scores. Results: The TabCAT-EXAMINER score was normally distributed, demonstrated high test-retest reliability, and was associated in the expected directions with independent tests of executive functioning, demographics, disease severity, and diagnosis. Greater baseline disease severity was associated with more rapid longitudinal TabCAT-EXAMINER decline. Conclusions: The TabCAT-EXAMINER is a tablet-based executive functioning battery developed for observational research and clinical trials. Performance can be summarized as a single composite score, and results of this study support its reliability and validity in cognitive aging and neurodegenerative disease cohorts.

OBJECTIVES The Pediatric Emergency Care Applied Research Network (PECARN) cervical spine injury (CSI) clinical prediction rule (CPR) was developed to reduce unnecessary imaging in pediatric trauma patients and ensure accurate diagnosis. This study aimed to identify barriers and facilitators to future implementation of this rule in diverse emergency department (ED) settings. METHODS We conducted 40 interviews with 48 clinicians, including ED physicians, surgeons, nurses, and advanced practice providers at 21 health care facilities across the United States. Semistructured interviews explored determinants impacting implementation, guided by the Tailored Implementation for Chronic Diseases (TICD) framework. We conducted a deductive thematic analysis using the TICD domains as a priori codes. Three researchers independently coded the transcripts and identified key themes aligned with the TICD framework. RESULTS Barriers included limited guideline accessibility, workflow disruptions, and inconsistent integration with electronic health records. Clinicians’ concerns regarding the applicability and adherence to guidelines were also significant. Facilitators identified included institutional support, stakeholder engagement, and targeted education that addressed knowledge gaps. Implementation strategies varied by context, with suggestions for electronic health record-based decision tools in resource-equipped facilities and external aids, such as pocket cards, in lower-resource settings. Addressing legal concerns, clinician resistance, and workflow alignment emerged as critical priorities. CONCLUSION Implementing the PECARN CSI CPRs requires addressing contextual barriers such as workflow challenges, clinician adherence, and technology integration. Context-sensitive strategies are essential for successful adoption and improved decision-making in pediatric trauma care. Future research should evaluate the impact of these strategies on clinician behavior and patient outcomes.

ABSTRACT As artificial intelligence (AI) continues to rapidly reshape health care, there is a critical need for clear frameworks for clinicians to ensure ethical, equitable, and effective integration and use of AI in patient care. Key integrations of AI include enhancing health communications, patient engagement, clinicians' training, pharmaceutical advertising, clinical decision‐making, and automation of clinical operations and workflow. However, there are growing concerns related to regulatory gaps, the spread of misinformation, security threats, patient and data privacy leaks, and widening health disparities gaps. These concerns are exacerbated by limited institutional infrastructure and limited AI literacy of clinicians and patients. Recent policy developments reflect efforts to guide responsible AI development and use. While progress has been made, the lack of standardized human oversight remains a critical gap, particularly as policies may not fully consider the challenges and complexities at institutional, societal, technical, and individual levels. Thus, herein, the Drug Information Practice and Research Network (DI PRN) of the American College of Clinical Pharmacy (ACCP) : (1) explores current and emerging multifaceted challenges, a call to action, and opportunities of AI integration in health care including examination of the regulatory, ethical, operational, and health equity implications; and (2) provides practical recommendations for responsible use of AI through DI PRN‐developed example case‐based approaches and best practices infographics to enhance AI literacy for diverse learners including clinicians, trainees, and patients. This DI PRN opinion paper highlights the importance of proactive governance frameworks and equips and empowers diverse learners with practical AI literacy tools to confidently engage with AI technologies in patient care.

Abstract INTRODUCTION Preclinical Alzheimer's disease (AD) can be described relative to biomarker positivity onset time. METHODS We estimated time from amyloid positivity (A+) using sampled iterative local approximation (SILA) in a longitudinal autosomal dominant AD (ADAD) sample ( N = 379) with amyloid positron emission tomography. We compared (1) predicted age at A+ to imputed age, (2) estimated age at A+ to estimated age at symptom onset, and (3) variance in cognitive performance explained. RESULTS Mean error between imputed and SILA‐estimated age at A+ ( N = 26) was 1.15 years. Age at A+ explained 39% of estimated years to symptom onset (EYO) variance. Time from A+ explained 19% of cognitive composite variance and 14% of Clinical Dementia Rating Sum of Boxes CDR‐SB variance; EYO explained 43% and 57%, respectively. DISCUSSION SILA estimates A+ age in ADAD with reasonably good accuracy. SILA‐estimated time from A+ describes the start of pathology, but the time from A+ onset to symptoms is variable in ADAD and better described by EYO. Highlights Amyloid chronicity predicts a 14‐year preclinical AD phase in ADAD. SILA accurately estimates age at A+ (MAE < 2 years). EYO outperforms chronicity in predicting symptom onset. APP mutation carriers show atypical amyloid accumulation. Chronicity models help reveal AD heterogeneity in preclinical stages.

Background The literature on dyslipidemia and cognitive trajectories among cognitively unimpaired (CU) persons remains inconclusive. Objective To investigate the association between baseline dyslipidemia and change in global and domain specific (i.e., memory, language, attention/executive function, and visuospatial skills) cognition in a population-based setting and whether the association differs by sex, age, or APOE ɛ4 carrier status. Methods We conducted a longitudinal study derived from the Mayo Clinic Study of Aging, involving 4236 CU persons aged ≥ 50 years. We ran linear mixed-effect models to examine baseline dyslipidemia in predicting longitudinal cognitive global and domain-specific z-scores adjusted for age, sex, education, medical comorbidity, repeated cognitive testing, and APOE ɛ4. We examined interactions among dyslipidemia, years since baseline, and separately by sex, age, and APOE ɛ4 carrier status. Results Over a median follow-up period of 6.4 years, CU individuals with dyslipidemia showed faster decline in z-scores of all domains, i.e., memory, language, attention/executive function, visuospatial and global cognition relative to CU individuals without dyslipidemia. Three-way interactions showed that dyslipidemia's effect on decline in z-scores of global cognition, attention and visuospatial skills was less pronounced in males than females. Higher age increased dyslipidemia's effect on decline in z-scores of attention but not global cognition or any other domain. APOE ɛ4 carrier status did not modify the effect of dyslipidemia on cognitive z-scores. Conclusions Dyslipidemia was associated with faster global and domain-specific cognitive decline over time in older community-dwelling individuals who were cognitively unimpaired at baseline. The effect of dyslipidemia on cognitive trajectories may be sex-influenced.