Citations

Abstract The discovery of pathogenic neuroglial surface-directed autoantibodies (NGSAbs) has fundamentally transformed clinical neurology, by enabling molecular-level diagnoses in potentially treatable, yet previously unrecognized, diseases. Annual descriptions of novel CNS-targeting antibodies create a continuous stream of new conditions in which to evaluate distinct phenotypes, specific tumour associations and immunotherapy responses. Alongside this clinical growth, increasing basic knowledge has highlighted origins and mechanisms underlying disease causation, most comprehensively interrogated in the well-established autoantibody-mediated conditions of autoimmune encephalitis (AE), neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). The corresponding most common ‘big six’ autoantigens are LGI1, the N-methyl-D-aspartate (NMDA) receptor, CASPR2, IgLON5, in forms of AE, AQP4 and MOG. Each of these autoantigens associates with a homogenous set of basic clinical features, across age, sex, tumour associations and ethnicities, coupled with partly distinctive profiles of triggers and predispositions, paradigms of immune tolerance escape in the periphery, how cells and autoantibodies gain access to the CNS, and discrete mechanisms by which the CNS autoantibodies induce neuroglial dysfunction. These observations lead us to reconstruct a proposed chronological series of events as the ‘cascade to pathogenicity’, which together culminate in a rare CNS disease. By extension, we hypothesize elucidating the underlying biology of each condition will present differing precision medicine approaches to optimize patient care. Despite distinctions, there are also clinical and biological overlaps between these diseases, collectively creating opportunities to compare and contrast their individual features. Here, in each condition, we review current knowledge regarding the similarities and differences between the triggering events, underlying immunological processes and pathogenic mechanisms of autoantibodies. In some instances, we identify scientific clues that drive hypothetical pathways of pathogenesis and, for others, highlight striking observations that aim to generate hypothesis-driven next steps. Our aim is to construct a model across the major autoantibody-mediated CNS diseases to highlight distinct components of cascades to pathogenicity, which may offer targeted therapeutic approaches to improve patient outcomes, and identify key areas and questions for future research.

Abstract Context Bilateral adrenalectomy (BLA) and autoimmune adrenal insufficiency (AAI) are 2 major causes of primary adrenal insufficiency (PAI). Comparative data between etiologies are limited. Objective To compare management, quality of life (QoL), and frequency of adrenal crises between participants post-BLA vs AAI. Methods We conducted a dual-center, cross-sectional study of adults with AAI or BLA between 2018 and 2025. All participants completed questionnaires on management, adrenal crises, and the Addison Disease-specific QoL Questionnaire (AddiQoL). Results Of 343 participants, 203 had AAI (median age 54 years, 72% women) and 139 had BLA (median age 57 years, 76% women). AddiQoL scores were similar between participants with AAI and BLA (median 84 vs 83, P = .947), but better in participants post-BLA for pheochromocytoma versus hypercortisolism (median 88 vs 81, P = .031). Participants with AAI reported a higher number of adrenal crises within the past year than those post-BLA (25% vs 13%, P = .022). In multivariable analyses of age, sex, glucocorticoid dose and type, PAI type, AddiQoL score, and autoimmune comorbidities, only PAI type was associated with higher number of reported adrenal crisis within the last year (AAI vs BLA: odds ratios of 2.1-2.2, P < .05 for all models). Conclusion QoL was comparable between participants with AAI and BLA, though patients post-BLA for pheochromocytoma reported better QoL than patients post-BLA for hypercortisolism. Adrenal crises were more common in participants with AAI than those post-BLA, a finding that was not explained by patients’ glucocorticoid management, underscoring the need for tailored crisis prevention strategies.

Abstract Aims We hypothesized that targeting interleukin-6—a cytokine central to NOD-like receptor protein 3 (NLRP3) inflammasome activation that is associated with both the onset and progression of heart failure (HF)—may be beneficial in patients with HF and circulating evidence of cardiovascular inflammation but without overtly reduced ejection fraction (EF). We describe the rationale and design of two clinical trials (ATHENA and HERMES) investigating ziltivekimab, a human monoclonal antibody directed against the interleukin-6 ligand, in patients with HF and mildly reduced or preserved EF (HFmrEF/HFpEF) and cardiovascular inflammation. Methods ATHENA (n = 673) and HERMES (n = 4900) are international, multi-centre, double-blind, placebo-controlled trials randomizing adults with HFpEF/HFmrEF and cardiovascular inflammation (high-sensitivity C-reactive protein ≥2 mg/l) to ziltivekimab 15 mg or placebo, administered subcutaneously once monthly on top of standard of care. Eligible participants have a left ventricular EF >40%, elevated N-terminal pro-B-type natriuretic peptide (NT-proBNP), and serum high-sensitivity C-reactive protein ≥2 mg/l. The primary endpoint in ATHENA is the change in Kansas City Cardiomyopathy Questionnaire—Clinical Summary Score at 12 months. The primary endpoint in HERMES is time to first composite of cardiovascular death, hospitalization for HF, or urgent HF visit. ATHENA has a fixed duration of 12 months, whereas the HERMES trial is event driven (∼845 adjudicated primary events) with a minimum exposure of 6 months from randomization to the last treatment visit. Conclusion ATHENA and HERMES will investigate the effect of ziltivekimab in HFpEF/HFmrEF and cardiovascular inflammation. ATHENA will determine the effect of ziltivekimab on health status. HERMES will determine the efficacy and safety of ziltivekimab on morbidity and mortality.

Cytomegalovirus (CMV) establishes lifelong latency following primary infection and can reactivate to cause severe illness in immunocompromised hosts. CMV DNAemia in non-HIV-infected, non-solid organ/bone marrow transplant (NHNT) hosts is poorly characterized, with limited clinical insights. We aim to describe the clinical presentation, prognostic indicators, and outcomes of CMV DNAemia among NHNT patients. We used the TriNetX international patient database to identify adult patients diagnosed with CMV DNAemia from 2016 until March 2023. We evaluated hospitalization, intensive care unit (ICU) level care, and all-cause mortality at 30 days and 1 year. We also completed a post-propensity score analysis comparing clinical characteristics of survivors versus non-survivors at 90 days. We identified 1123 NHNT patients with CMV DNAemia, most of whom had neoplasms (63%). Venous thromboembolism occurred in 31% of the population. The 30-day hospitalization and all-cause mortality rates were 35% and 14%, respectively. After propensity score matching and Bonferroni correction, weakness, purpura, acute respiratory failure, malnutrition, encephalopathy, and hypotension were associated with increased 90-day all-cause mortality. NHNT patients with CMV DNAemia carry a substantial morbidity and all-cause mortality. Further studies are warranted to clarify whether CMV DNAemia is a causative factor or an incidental finding in this population.

Introduction Asymptomatic individuals with negative Interferon-γ release assay (IGRA) and tuberculin skin test (TST) results are often labeled as tuberculosis-unexposed individuals. We hypothesize that flow cytometric (FC) detection of antigen-stimulated T-cells in peripheral blood can differentiate IGRA(-)/TST(-) individuals with and without prior potential M. tuberculosis (Mtb) exposure. Methods We used FC multiparameter profiling of T-cell activation markers in TST/IGRA-negative individuals at risk for Mtb exposure and in unexposed controls. Results We studied 54 IGRA(-)/TST(-) subjects, including 27 individuals at risk for prior Mtb exposure. While quantitative IGRA results were negative in all patients, FC profiling of CD3/CD4 + IFN-γ + HLA-DR + T-cells after stimulation with a pool of Mtb-specific region of difference-1 (RD1) peptides, mycobacterial (PPD and MTB300), or Candida antigens, statistically differentiated between unexposed and potentially exposed individuals (P<0.05). ROC analysis showed PPD and RD1 peptides responses had AUCs >0.7 (sensitivity of 55.5–74% and specificity of 66.6–85.1%). The presence of a polyfunctional RD1-reactive CD3/CD8 + IFN-γ + TNF-α + T-cell subset also significantly differentiated these groups (AUC 0.66). Other T-cell markers demonstrated no significant differences. Conclusions FC detection of antigen-specific IFN-γ + HLA-DR + CD4+T-cells and IFN-γ + TNF-α + CD8 + T-cells can differentiate IGRA(-)/TST(-) individuals at risk of Mtb exposure from unexposed controls. Further validation is needed to determine whether this immunoprofiling approach can improve detection of Mtb infections and identification of unexposed individuals for future biomarker studies and vaccine trails.

ABSTRACT Pharmacy preceptors are central to experiential learning, yet there is a lack of guidance on how to integrate generative artificial intelligence (GenAI) into precepting. This paper serves as a practical “how‐to” resource, offering actionable strategies and examples to help preceptors implement GenAI into clinical education. Based on examples from multiple institutions and the best available literature in pharmacy practice and education, we outline step‐by‐step approaches for designing learning activities, adapting assessment methods, and modeling effective artificial intelligence (AI) use, with a focus on optimizing learner engagement, personalizing instruction, cultivating critical thinking, and building AI literacy. Implementation guidance includes creating transparent AI use policies, safeguarding confidentiality, preventing deskilling, and embedding GenAI into feedback and evaluation processes. By incorporating these recommendations, preceptors can augment experiential education into a setting where learners can explore GenAI applications and build the judgment required to use AI responsibly in pharmacy practice.

ABSTRACT Purpose To validate a custom smartphone application for at‐home visual acuity (VA) measurement in children. Methods A total of 452 children aged 3–17.5 years participated. Certified examiners measured in‐office test–retest VA (logMAR) using gold‐standard Amblyopia Treatment Study HOTV (3‐to‐6‐year‐olds, younger cohort) or electronic Early Treatment of Diabetic Retinopathy Study (7‐to‐17.5‐year‐olds, older cohort) protocols at 3–4.5 m and app‐based VA at 1.5 m. Caregivers measured at‐home app‐based VA at 1.5 m. Results Comparing at‐home app‐based with gold‐standard VA, in eyes 20/40 or better, 95% (143/151) and 93% (91/98) of the younger and older cohorts were within 2 lines, respectively (mean differences: younger = −0.03, older = −0.04; 95% limits‐of‐agreement half‐width (LOA): younger = ±0.26, older = ±0.22). In eyes 20/50 or worse, 66% (42/64) and 75% (76/101) of the younger and older cohorts were within 2 lines, respectively (mean differences: younger = 0.11, older = 0.13, LOA: younger = ±0.50, older = ±0.51). Comparing in‐office app‐based VA with gold‐standard VA, in eyes 20/40 or better, 98% (160/164) and 94% (99/105) of the younger and older cohorts were within 2 lines, respectively (mean differences: younger = −0.03, older = −0.03; LOA: younger = ±0.22; older = ±0.24). In eyes 20/50 or worse, 85% (60/71) and 91% (101/111) of the younger and older cohorts were within 2 lines, respectively (mean differences: younger = 0.04; older = 0.04; LOA: younger = ±0.39; older = ±0.24). For gold‐standard test–retest, in eyes 20/40 or better, 99% (163/164) and 99% (104/105) of the younger and older cohorts had retest within 2 lines, respectively (mean differences: younger = 0.00; older = 0.01; LOA: younger = ±0.17; older = ±0.11). For 20/50 or worse, 92% (66/72) and 100% (111/111) in the younger and older cohorts were within 2 lines, respectively (mean differences: younger = 0.01; older = 0.02; LOA: younger = ±0.35; older = ±0.15). Conclusions Our app demonstrated good concordance with the gold standard at home and in the office for eyes with VA of 20/40 or better. However, concordance decreased considerably for eyes with VA 20/50 or worse, particularly at home.

Abstract Background Community-acquired pneumonia (CAP) is a significant public health concern associated with increased rates of hospital admissions and mortality. The purpose of the current study was to compare beta-lactam plus azithromycin or doxycycline vs fluoroquinolones in adults hospitalized with CAP. Methods We searched several databases from inception to 10 June 2024. Two reviewers independently screened, selected, and extracted data. Disagreements were resolved by consensus or a third reviewer. Study quality was assessed in duplicate with the Cochrane Risk of Bias 2 for randomized studies and the Newcastle-Ottawa Scale for nonrandomized studies. Meta-analysis was conducted by a random effect model when feasible. Network meta-analysis was performed to compare direct and indirect evidence. The GRADE approach (Grading of Recommendations Assessment, Development, and Evaluation) was followed to rate the certainty of evidence. Results Twenty studies were included (20 beta-lactam + azithromycin, 7 beta-lactam + doxycycline, 12 levofloxacin, and 4 moxifloxacin): 6 were randomized, enrolling 861 participants (mean age, 61.8 years; 43.2% women), and 14 were nonrandomized, enrolling 185 928 participants (mean age, 65.2 years; 42.9% women). Direct comparison and network meta-analysis results showed no statistically significant differences and likely equal effectiveness between beta-lactam + azithromycin and beta-lactam + doxycycline in terms of in-hospital mortality, need for intensive care unit admission or invasive mechanical ventilation, or safety outcomes including Clostridioides difficile infection and QT prolongation. Conclusions The current evidence demonstrated no likely difference in outcomes between azithromycin and doxycycline in adults hospitalized with CAP receiving beta-lactam. Head-to-head randomized clinical trials are needed to validate these results.

INTRODUCTION: Adverse events (AEs) in health care—such as medical errors and patient harm—are a leading cause of death in the United States and have long-lasting emotional and behavioral effects on patients and families. Effective communication following AEs is critical, yet providers often lack training, institutional guidance, and confidence to navigate these conversations. Communication training programs have shown promise in improving provider empathy, competence, and confidence, but there is limited data on ob-gyn practicing providers, allied health care staff, and administrators. METHODS: A 4-hour multidisciplinary communication training was conducted at a large Midwestern academic hospital system (2022–2024). Training included didactics, simulated patient scenarios, and group debriefings. Participants were ob-gyn clinicians, nurses, and administrative staff. In 2025, 58 participants received follow-up surveys; 33 responded. Quantitative data were analyzed with SPSS, and qualitative responses underwent thematic analysis. RESULTS: Post-training, participants reported high empathy (mean 4.38, SD .38), communication competence (mean 4.45, SD .49), and confidence (mean 4.28, SD .43). No significant differences existed between clinical and nonclinical groups. Qualitative feedback included better empathy, structured conversations, and comfort apologizing. Ninety-seven percent reported changed communication practices, and 91% applied skills in practice. CONCLUSIONS/IMPLICATIONS: Training led to sustained empathy and confidence improvements across roles and specialties. Participants noted high uptake and ongoing use of skills. To our knowledge, there are no other published studies on the effect of communication training in practicing ob-gyn providers, allied staff, and administrators. Future efforts should add unscripted scenarios and behavioral assessments beyond self-report.