Citations

Background Accreditation Council for Graduate Medical Education (ACGME) requires internal medicine (IM) residents to perform procedures considered “essential for the area of practice.” However, no guidelines or best practices exist for teaching these skills. To address this gap, a procedure training workshop (PTW) was developed. Methods IM residents attended a PTW where they practiced paracenteses, lumbar punctures (LPs), and central venous catheter (CVC) placement on ultrasound-compatible task trainers. The PTW was assessed using pre- and post-session tests and surveys. To evaluate translation into clinical practice, procedure volume, success rates, and immediate complications were tracked. Results Following implementation of the PTW, resident knowledge assessment scores increased from 67.4% to 84.1% (p < 0.001). More residents reported feeling “well-prepared” to perform or “teach others” procedures (CVC 69% from 31%, p < 0.01; LP 71% from 8%, p < 0.05; paracentesis 80% from 28%, p < 0.05) and able to perform all steps without assistance or model (CVC 54% from 28%; LP 49% from 17%, p < 0.01; paracentesis 66% from 25%, p < 0.01). Paracenteses increased from 71 (2020) to 119 (2021) to 143 (2024), while LPs increased from 87 (2020) to 156 (2021) to 135 (2024). Success rates remained stable across procedures: paracentesis (91.5% to 94.1% to 93.7%), LP (58.6% to 55.8% to 52.6%), and CVC placement (95.5% to 97.6% to 94.9%). Conclusions PTW is a valuable half-day session that equips early residents with essential procedural knowledge and hands-on practice that translates into sustained increases in bedside procedure volume.

Objective Digital health applications (health apps) are increasingly integrated in clinical care. Yet the information describing these apps varies across curated app repositories supporting prescription. We aimed to identify the information items used to describe health apps in repositories; and to quantify the completeness of publicly displayed app-entry information across repositories. Methods We conducted a cross-sectional study of seven national or international curated health app repositories: mHealthBelgium, DiGA, AppThera, ORCHA, GGD AppStore, MIND, and AppGuide. In January 2025, we randomly selected 140 health apps, with 20 apps per repository. For each app, one reviewer extracted the publicly available information displayed in the repository entry and inductively identified the information items reported (i.e., atomic information elements used to describe apps). These information items were then grouped into categories by an expert committee. We calculated, for each repository, the median number of items reported across apps, overall and by category. Results Health apps were described by 32 information items grouped into 10 categories: general information, regulatory information, compatibility, costs, indication, functions, evidence, user experience, data governance and security, and change history. The median number of items reported in repositories ranged from a median of 9/32 items, IQR 9 to 11 in MIND to 27/32, IQR 26 to 28 in DiGA. Only, three repositories (AppThera, DiGA and AppGuide) systematically reported information on the evidence supporting the apps for all listed apps. Conclusions Curated health app repositories differed in the information items presented to clinicians and patients. Incomplete reporting of clinically relevant information, particularly evidence and data governance, may limit informed app selection and prescription. Minimum reporting standards are needed to enable safe prescription and reliable integration of health apps into clinical practice.

Background/Objectives: Myelodysplastic syndromes (MDS) carry a highly variable prognosis, stratified by the Revised International Prognostic Scoring System (IPSS-R) and the Molecular IPSS (IPSS-M). CEBPA mutations define a favorable-risk subgroup in acute myeloid leukemia (AML), yet their prognostic significance in MDS has not been characterized. Methods: We analyzed 2442 patients from the International Working Group (IWG) 2022 multi-center MDS registry after pre-specified exclusions. Overall survival (OS) and leukemia-free survival (LFS) were compared between CEBPA-mutated (n = 66; 2.7%) and wild-type patients using Kaplan–Meier estimation and Cox proportional hazards regression, adjusting for age, sex, and IPSS-R score; pre-specified subgroup, sensitivity, competing-risk, and mutation subtype analyses were performed. Results:CEBPA-mutated patients had markedly inferior OS (median 17.2 versus 42.2 months; HR 2.05, 95% CI 1.50–2.79; p < 0.001). After IPSS-R adjustment, the hazard ratio remained adverse (HR 1.39, 95% CI 1.00–1.94; p = 0.053), with uniform directionality across all 13 evaluable subgroups and no significant interaction. Co-mutation adjustment for ASXL1 and STAG2 further attenuated the hazard ratio to HR 1.11 (95% CI 0.79–1.57; p = 0.54), suggesting part of the observed signal reflects co-mutation burden rather than an independent CEBPA effect. Competing-risk analysis suggested that the excess mortality is mediated through AML transformation (CEBPA-mutated versus wild-type subdistribution hazard ratio of 1.89, 95% CI 1.20–2.99; p = 0.006) rather than non-transformative MDS mortality (cause-specific HR 0.97; p = 0.890). Truncating mutations drove the adverse signal (HR 2.21; p = 0.023), while basic leucine zipper (bZIP) domain mutations showed no significant effect (HR 1.25; p = 0.470). Conclusions:CEBPA mutations identify a rare MDS subgroup with markedly inferior survival, driven by truncating loss-of-function mutations and associated with leukemic transformation; the AML-derived bZIP-favorable paradigm does not translate to MDS, and CEBPA mutation status merits a prospective study to assess clinical utility for risk stratification.

Abstract INTRODUCTION Similarities between frontotemporal lobar degeneration with transactive response DNA‐binding protein of 43 kDa (TDP‐43) (FTLD‐TDP) and limbic‐predominant age‐related TDP‐43 encephalopathy neuropathologic change (LATE‐NC) raise questions about whether they represent distinct entities or a single disease spectrum. The literature mostly examined series with disproportionate numbers of LATE‐NC over FTLD‐TDP. METHODS Leveraging a clinicopathological collection of FTLD‐TDP ( N = 148) from the University of California, San Francisco, we compared demographic, clinical, genetic, and neuropathological features of FTLD‐TDP, particularly FTLD‐TDP type A ( N = 39), and LATE‐NC ( N = 42). RESULTS FTLD‐TDP type A cases were younger at onset and death, had shorter disease duration, and frequent genetic causes ( GRN , C9ORF72 ) compared to LATE‐NC, which were mostly sporadic and older. Blinded evaluation of middle frontal gyrus (MFG) TDP‐43 immunostaining alone proved insufficient to reliably differentiate FTLD‐TDP type A from LATE‐NC stage 3. However, factoring in all neuropathologic features, FTLD type A and LATE‐NC could be differentiated with >95% confidence. DISCUSSION These overall findings support distinct diagnostic entities for FTLD‐TDP and LATE‐NC.

Premature ventricular contractions (PVCs) are common arrhythmia encountered in patients with and without structural heart disease. Although often benign and asymptomatic, they may also cause palpitations, exercise intolerance, presyncope, and reduced quality of life, and in some patients can contribute to PVC-induced cardiomyopathy or trigger malignant ventricular arrhythmias. Their clinical significance depends on symptom burden, PVC frequency, ventricular function, and the presence of underlying myocardial disease. Diagnostic evaluation includes electrocardiography, ambulatory rhythm monitoring, echocardiography, exercise testing, and cardiac magnetic resonance imaging for tissue characterization and risk stratification. Management ranges from reassurance and lifestyle modification to pharmacologic therapy and catheter ablation. Beta-blockers and nondihydropyridine calcium channel blockers remain common first-line options, whereas antiarrhythmic drugs may be considered in carefully selected patients. Catheter ablation is an effective treatment for symptomatic PVCs, high PVC burden, and PVC-induced cardiomyopathy, with high procedural success rates and favorable effects on arrhythmic burden and ventricular function. Novel approaches, including electrocardiographic imaging-guided planning, pulsed field ablation, stereotactic radioablation, neuromodulation, and renal denervation, may further expand future therapeutic options. This review summarizes the pathophysiology, clinical implications, diagnostic evaluation, and contemporary management of PVCs, with emphasis on medical therapy, catheter ablation, and emerging treatments.

Abstract Background Spinocerebellar ataxia type 3 (SCA3), the most common autosomal dominant ataxia, is driven by the accumulation of polyglutamine‐expanded (polyQ) ATXN3 proteins. While promising as biomarkers, their longitudinal trajectories across multiple biofluids remain poorly defined. Objectives To quantify polyQ ATXN3 levels in cerebrospinal fluid (CSF), plasma, and urine within a comprehensive cohort, utilizing serial measurements to map protein dynamics. Methods We employed a validated immunoassay to quantify polyQ ATXN3 in 97 symptomatic and 13 presymptomatic SCA3 patients, correlating levels with clinical features, ancestry, disease status, and longitudinal progression. Results Asian participants exhibited lower plasma but elevated urinary polyQ ATXN3 levels relative to other ancestries. While CSF levels were higher in symptomatic patients at baseline, they showed a significant longitudinal decline. Conclusions PolyQ ATXN3 is a viable multi‐biofluid biomarker. Declining CSF levels likely reflect neurodegeneration, supporting its role in tracking progression and emphasizing the need for ancestry‐based adjustment in trials. © 2026 International Parkinson and Movement Disorder Society.

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system in which environmental factors play an important role in shaping disease risk, activity, and progression. Over the past decade, human and experimental studies have consistently shown alterations in the gut microbiome across the phenotypic spectrum of MS and have linked these changes to immune dysregulation, barrier dysfunction, neuroinflammation, and demyelination. Additionally, emerging evidence indicates that microbial function, particularly metabolite production plays a more direct role in shaping immune responses and associated neuropathology. Evidence from both human studies and experimental autoimmune encephalomyelitis models supports a functional role for microbial metabolites in shaping neuroimmune responses. Bacterially derived metabolites such as short-chain fatty acids, bile acids, polyamines, phytoestrogen metabolites, and tryptophan-derived compounds can influence T-cell differentiation, glial activation, epithelial integrity, and neuroimmune communication. Recent longitudinal studies also show associations between metabolite profiles and disability worsening. Because disease-modifying therapies, diet, and microbiome-directed interventions can reshape microbial metabolism, microbial metabolites may represent promising therapeutic targets in the gut-immune-brain axis. In this Review , we integrate current evidence to propose a mechanistic framework in which microbial metabolites act as central regulators of mucosal and systemic immunity that influence different aspects of MS biology. We discuss how this perspective shifts gut microbiome research from descriptive associations to biological mechanisms that more directly link the gut to immune responses and downstream neuropathology. We then evaluate therapeutic strategies that target microbial metabolism and outline key priorities for longitudinal, multi-omics, and interventional studies that are needed to enable microbiome-informed precision therapies in MS.

Abstract Background: The dynamic nature of surgical demand poses significant challenges in planning and scheduling resources to staff the surgical suite. Uncertainty in workload often leads to conservative upstream resource allocation, resulting in staffing misallocation. We propose a novel metric, the daily maximum number of open operating rooms (ORs), as an interpretable resource demand proxy to support staff planning. Methods: Using historical surgical data from Mayo Clinic in Rochester, Minnesota, from May 5, 2018 through October 8, 2023 (332,904 surgical cases), we developed a deep learning framework based on a wide-and-deep architecture to predict the daily maximum number of open ORs. The model incorporates features capturing historic OR use trends, seasonality effects, and anesthesia division–specific characteristics. Predictions are generated for forecast horizons of up to 90 business days. Results: Our results demonstrate strong predictive performance, with campus-level root mean square error values ranging from 5 to 7 available ORs across all forecast horizons. Validation across 9 anesthesia divisions confirms the frame- work’s capability to capture complex, nonlinear dependencies within longitudinal surgical datasets. Conclusions: This study introduces a novel operational metric and a robust predictive framework for perioperative resource management. By accurately fore- casting daily maximum open ORs, health care managers can better align staff capacity with anticipated demand, potentially enhancing staff use and improving the patient care experience by minimizing delays.

Introduction Hospital readmissions in the US place a considerable burden on patients and their caregivers. Our study will investigate whether spiritual intervention during a patient’s hospital stay contributes to lower rates of readmissions 30 days after hospital discharge. Methods Two hundred patients receiving palliative care will be randomized into control (n = 100) and intervention groups (n = 100). The control group will receive a standard spiritual support visit, while the intervention group will receive a spiritual intervention consisting of active listening, compassionate presence, assessment of post-discharge resources, and a supportive phone call 5 to 7 days after discharge. The primary outcome will be hospital readmission within 30 days of discharge. Board-certified chaplains will be allowed to use their individual skillsets but within the standardized ACA spiritual care model. Training chaplains to assess patients in the same way will help with this discrepancy as the same form will be used. Discussion We hypothesize that patients who receive spiritual intervention with a supportive phone call will experience fewer hospital readmissions. Spiritual intervention will instill.confidence in those patients at risk of readmission by assuring them that the hospital staff remain concerned about their well-being even after discharge.