Citations

Abstract Introduction The underlying immunopathogenesis of inflammatory arthritis (IA) immune-related adverse event (irAE) remains obscure. Unlike rheumatoid arthritis (RA), where autoantibodies and B cell dysfunction are central features, the contribution of humoral immunity to IA-irAE is unclear. Methods Here, we performed immunophenotyping of peripheral blood from IA-irAE patients, and compared them with seronegative RA patients, ICI-treated patients without irAE, and healthy controls. Results IA-irAE was marked with increased cytotoxic gene expression and metabolic activation in T cells, and reduced CXCR3 and CCR6 expression in CD4+ T cells. Contrary to seronegative RA, IA-irAE patients displayed no significant elevation in autoantibody levels or atypical CD11c+CD21⁻ B cells. IA-irAE was further characterized by elevated levels of IL-6, IL-12, and type I IFN, which correlated with the T cell activation phenotypes. Conclusion Altogether, our findings define IA-irAE as a disease with certain immunological features distinctive from RA, representing a potentially T cell driven, autoantibody-independent autoimmunity. These results offer insights into immune tolerance breakdown and therapeutic targeting in irAEs. Funding Source National Institute of Arthritis and Musculoskeletal and Skin Diseases Mark E. and Mary A. Davis Initiative in Rheumatoid Arthritis Research Mayo Foundation for Medical Education and Research Topic Categories Basic Autoimmunity (BA)

Abstract Objectives Understanding whether the novel long-T ITC complex might assist in interpreting clinical prognostic utility compared to established cardiac biomarkers is needed. We determined long term major adverse cardiac events (MACE) and all-cause mortality (ACM) predicated on novel long-T ITC complex and high sensitivity cardiac troponin I (hs-cTnI) and T (hs-cTnT) assays in the emergency department (ED). Methods cTn assays were measured on the Mindray CL-1200i platform at presentation in consecutive patients enrolled in ‘Mindray hs-cTnI Assay Analytical and Clinical Evaluation for the Diagnosis and RIsk Assessment of Myocardial InfarctIon’ (MERITnI) (NCT05853042) trial with suspected ischemia. Sex specific 99th percentiles upper reference limits (URLs) were: hs-cTnI female 14 ng/L, male 15 ng/L; hs-cTnT female 10 ng/L, male 19 ng/L; long-T ITC complex 0.9 ng/L, same for female and male. Results Of 1,070 patients, 59.4 % were male, 43.4 % White, 45.5 % Black, and 39.5 % ≥65 years. Independent of biomarkers, a continuum of risk over 1 year showed MACE increased to 16.1 % and ACM to 16.5 %. Long-T ITC complex did not show a continuum change, increasing only 0.1 % (HR: 1.001 (1.0–1.001) per ng/L. However, hs-cTnI increased 1.8 % (HR: 1.018 [1.009–1.027] for each ng/L (p<0.0001) and hs-cTnT increased 0.3 % per ng/L (HR: 1.003 [1.001–1.006]) (p=0.0028). Between subjects ≤URLs and >URLs, MACE and ACM all biomarkers showed significant (p<0.0001) differences over 1 year. For MACE in those >URL long-T ITC complex increased 11.2–25.2 %, hs-cTnI 18.0–35.0 % and hs-cTnT 8.9–24.2 %. For ACM in those >URL long-T ITC complex increased 4.5–23.3 %, hs-cTnI 5.0–26.2 %, and hs-cTnT 3.6–24.1 %. Conclusions Novel long-T ITC complex did not provide new prognostic value to either hs-cTnI or hs-cTnT. Patients with increased hs-cTnI and hs-cTnT concentrations had marked increases in MACE and ACM risk at 1-year.

Abstract Inflammation is a key driver of coronary syndromes across the continuum from chronic coronary syndromes to acute coronary syndromes. It contributes to atherogenesis, plaque destabilization, and ischaemic events and influences myocardial injury, repair, and remodelling. Inflammatory activity is further amplified by metabolic and autoimmune comorbidities such as diabetes, obesity, and connective tissue diseases, with obesity representing a major driver of chronic low-grade inflammation through adipose tissue dysfunction and cytokine activation, while psychosocial stress and environmental exposures including air pollution serve as additional triggers. Genetic variations, including human leucocyte antigen genotypes, modulate individual susceptibility to vascular inflammation and myocardial injury. This expert consensus from the European Society of Cardiology’s Association for Acute CardioVascular Care summarizes the current understanding of inflammation across the full spectrum of coronary syndromes, including underlying mechanisms, relevant biomarkers, and imaging approaches that characterize vascular inflammation, and integrates insights from experimental and clinical studies. Importantly, this document provides explicit consensus-based guidance on when, how, and in whom inflammation should be assessed and treated in routine clinical practice. While the causal association between inflammation and atherosclerotic cardiovascular disease is well established, pharmacological modification of inflammation has produced conflicting evidence. Some agents, such as low-dose colchicine, have demonstrated modest reductions in cardiovascular events, although results across trials have been inconsistent. Other anti-inflammatory therapies have not shown clinical benefit, whereas selective cytokine inhibition with canakinumab has reduced cardiovascular risk at the cost of increased infection rates. The present manuscript also focuses on the evaluation of inflammatory activity in cardiovascular patients in routine clinical practice. It further discusses criteria for patient selection and clinical decision-making regarding the introduction of anti-inflammatory therapy in individuals with established atherosclerotic cardiovascular disease.

Abstract Background We determined whether circulating cardiac troponin I–cardiac troponin T–troponin C (ITC) complex containing long-form cardiac troponin T (long-T ITC) complex and ratios of high-sensitivity cardiac troponin I (hs-cTnI) and high-sensitivity cardiac troponin T (hs-cTnT) could differentiate myocardial infarction (MI) from chronic and acute non-MI myocardial injuries in patients with suspected acute coronary syndrome. Methods We measured long-T ITC complex, hs-cTnI, and hs-cTnT (Mindray) at 0- and 2-h in consecutive patients enrolled in the Mindray hs-cTnI Assay Analytical and Clinical Evaluation for the Diagnosis and RIsk Assessment of Myocardial InfarctIon (MERITnI) trial. Results Among the 882 subjects studied (median 3.0 h presentation), 47 had acute MI (5.3%), 116 had acute non-MI myocardial injury, and 90 had chronic myocardial injury. At 0 and 2 h, areas under the curve (AUC) significantly differentiated acute MI from chronic myocardial injury for long-T ITC complex (0.72 and 0.81, respectively; P = 0.0082) but not acute non-MI myocardial injury (AUC, 0.65 and 0.69, respectively; P = 0.23). 0 and 2 h AUCs for long-T ITC complex/hs-cTnT and hs-cTnI/hs-cTnT ratios also significantly differentiated acute MI from chronic myocardial injury (AUC, 0.79 and 0.86, respectively) and acute non-MI myocardial injury (AUC, 0.68 and 0.71, respectively). There was no biomarker concentration or ratio value discrimination between type 1 and type 2 MIs. Conclusions Long-T ITC concentrations and long-T ITC complex/hs-cTnT and hs-cTnI/hs-cTnT ratios may clinically assist in differentiating acute MI from non-MI myocardial injuries when evaluating patients with suspected acute coronary syndrome. ClinicalTrials.gov Registration Number: NCT05853042.

Background and Objectives: We developed the Mayo Outpatient Precepting Evaluation Tool (MOPET) to assess and improve clinical teaching for family medicine residents. Given the scheduling challenges of peer evaluation, we sought to improve the MOPET’s usefulness by evaluating the reliability of self- and resident-reported teaching behaviors during clinical precepting compared to peer observation. Methods: Forty-eight half-day sessions in a family medicine residency clinic were assessed with parallel observer, preceptor, and resident MOPET forms. Interrater reliability was calculated using the κ (kappa) statistic. Results: Residents reported that preceptors used 14 of 20 teaching behaviors more often than observers. Observers and preceptors significantly agreed on the use of five teaching behaviors, while residents agreed with observers on two teaching behaviors. Conclusions: Although self-assessment and resident-based feedback of preceptor teaching behavior may improve practicality, they are less reliable compared to direct peer observation with the validated MOPET.

ABSTRACT Approximately 30% of patients with acute graft-versus-host disease (GVHD) develop steroid-refractory disease and have very poor outcomes. Ruxolitinib has become the standard of care for steroid-refractory acute GVHD, but it is unclear which patients derive benefit. The MAGIC Composite Score (MCS), an algorithm that combines clinical symptoms and biomarkers, has been validated to predict outcomes at the start of primary GVHD treatment. Here, we evaluated its performance at the initiation of second-line treatment in 278 patients. MCS stratified patients into three risk groups (MCS1-3), with the majority (88%) classified as intermediate or high risk. Increasing MCS score was associated with progressively higher 1-year non-relapse mortality (NRM) rates (16%, 41%, and 73%; p<0.001), lower 1-year survival (77%, 56%, and 24%; p<0.001), and lower complete response (CR) rates at day 28 (47%, 38%, and 20%, respectively; p<0.01). The area under the receiver operating characteristic curve (AUROC) for 1-year NRM was significantly higher with MCS compared to clinical symptoms alone (0.70 vs. 0.63; p=0.023). Among patients treated with ruxolitinib, higher MCS similarly predicted higher NRM and lower survival and CR rates. Patients classified as MCS2/3 had poor outcomes despite ruxolitinib, underscoring the need for novel therapies in this patient population. In conclusion the MCS is an accurate predictor of outcomes for patients who require second-line treatment and may be of use as an eligibility criterion for future clinical trials in this high-risk population. Key Points MAGIC Composite Scores that integrate clinical symptoms and biomarker scores predict outcomes of second-line therapy for acute GVHD more accurately than clinical symptoms alone. MCS identifies patients with high NRM despite treatment with ruxolitinib.

Diffusion MRI (dMRI) enables assessment of white matter microstructural abnormalities in Alzheimer's disease (AD), and multisite datasets enable more robust modeling of non-biological variation that can confound analyses. The Alzheimer's Disease Neuroimaging Initiative (ADNI) includes over 10 dMRI protocols, necessitating robust methods to model protocol-related variability when pooling data. Here, we compared three harmonization approaches: (1) mixed-effects models, (2) ComBat-GAM, and (3) eHarmonize, a reference-based lifespan method. We assessed their ability to reduce protocol-related variability in diffusion tensor imaging fractional anisotropy (FA) and mean diffusivity (MD) while preserving associations with cognitive impairment (CI), and amyloid-beta (Aβ) and tau PET burden in 1,086 ADNI3/4 participants. All approaches yielded more closely aligned FA/MD distributions across protocols. Associations with clinical indicators of CI were highly consistent across approaches, whereas PET associations were less widespread and more variable. Overall, multiple strategies effectively modeled protocol-related variability while preserving AD-related associations.

Objective: To evaluate access, clinical outcomes, engagement, and satisfaction associated with an advanced musculoskeletal virtual care model. Design: Retrospective cohort study of adults with musculoskeletal complaints referred to advanced orthopedic virtual physical therapy by Physical Medicine and Rehabilitation providers between July 2024 and April 2025. Outcomes included access to care, patient-reported outcome measures, pain intensity, plan-of-care completion, and patient satisfaction. Results: Of 137 referred patients, 86 (62.8%) completed evaluations; 70.9% of those (n=61) completed full care episodes — exceeding national completion benchmarks (71% vs. 43%). Among completers, 96% achieved Minimal Clinically Important Differences. Functional improvements were significant: Oswestry Disability Index −32.4, Neck Disability Index −29.5, Lower Extremity Functional Scale +26.6 (all P <.001). Pain decreased from 6.1 to 0.9 (−85%). Average care required 5.6 visits versus national benchmarks of 6–10. Patient satisfaction was exceptional (Net Promoter Score=100). Conclusion: Among patients who completed a full episode of care, this advanced virtual musculoskeletal model was associated with substantial functional improvement, pain reduction, and high satisfaction while requiring fewer visits than national averages. Because outcome analyses were limited to completers, these findings may not represent all referred patients. Prospective controlled studies are needed to evaluate effectiveness and scalability.