Citations

Abstract Objective To measure the relative levels of signal and noise in expert diagnosis of epilepsy. Methods Twenty multinational epileptologists independently reviewed 50 vignettes of adult and pediatric patients presenting with suspected seizure(s) on two separate occasions with a ≥30‐day washout period. Experts provided a diagnosis of epilepsy or non‐epilepsy based on clinical information and, if requested, routine EEG and neuroimaging data. Cases had an established clinical diagnosis of epilepsy or non‐epilepsy based on capture of habitual paroxysmal events on video‐EEG or long‐term clinical follow‐up. Experts' judgments were analyzed to decompose variability into different sources: signal (objective differences between cases), level noise (experts' bias toward over/under‐diagnosis), pattern noise (experts' idiosyncratic reactions to specific case features), and occasion noise (inconsistency across occasions). Results The probability of an expert making a different diagnosis for a given case on two different occasions was 16%. The probability of two different experts making a different diagnosis for the same case was 26%. Signal (case “difficulty”) accounted for 66–69% of total variation, with 31–34% attributable to noise. Level noise was the largest contributor in the absence of EEG/neuroimaging results (23%), while pattern noise dominated when test results were available (24%). Occasion noise contributed relatively little (1%) but was still sufficient to cause diagnostic reversals in 16–22% between occasions. Significance The degree of noise in expert diagnosis of epilepsy is substantial, stemming primarily from physicians' idiosyncratic interpretations of case features and variable dispositions toward over‐ or under‐diagnosis. Strategies to improve reliability are needed, including standardized data collection protocols and structured decision algorithms. For “difficult cases,” where expert reliability and accuracy are lowest, our findings support current clinical practice which favors early referral for video‐EEG monitoring over reliance on diagnostic anchoring. This diagnostic pathway may become more accessible with advances in EEG technology (e.g., wearable devices) and artificial intelligence.

Abstract SRD5A3-CDG is a rare autosomal recessive congenital disorder of glycosylation characterized by multisystemic dysfunction, including neurological, psychomotor, cognitive, and visual impairments. Approximately 60 cases have been reported, with treatment limited to symptomatic management. SRD5A3 encodes a polyprenal reductase enzyme essential for synthesizing dolichol, a lipid carrier of the oligosaccharide precursor in N-glycosylation. To address the lack of effective treatments and disease models suitable for high-throughput screening, we developed the first C. elegans model of SRD5A3-CDG, harboring the homozygous W19X nonsense mutation commonly observed in patients. This model recapitulates disease-relevant phenotypes, including developmental delays, neurological dysfunction, and mevalonate pathway dysregulation. Using this model, we conducted a high-throughput motility-based drug repurposing screen and identified atorvastatin, an FDA-approved HMG-CoA reductase inhibitor, as a repurposing candidate. Atorvastatin rescued disease-relevant phenotypes in the worm model and restored polyprenol-to-dolichol ratios in patient fibroblasts. These findings highlight atorvastatin as a promising drug repurposing candidate for SRD5A3-CDG.

ABSTRACT Background The COVID‐19 pandemic presented unprecedented challenges to hospital system and critical care resources, leading to significant changes to operations and patient care. There are limited national data on these changes and instances of unsanctioned deviations from patient care, yet understanding the COVID response is key to future preparedness efforts. We sought to understand how hospitals and states navigated scarcity during COVID‐19, particularly in the absence of a declaration of crisis standards of care. Methods Between February 2022 and September 2022 we conducted 34 interviews with 36 leaders of U.S. states' COVID‐19 planning and response efforts. Interviews were transcribed verbatim and verified. We analyzed interviews using iterative inductive thematic analysis for descriptions of resource scarcity and changes to policies and procedures to prevent rationing lifesaving care. Results Nearly all participants described equipment and personnel scarcity in their home institution or state during COVID‐19. Hospitals across regions and states developed formal and informal coordination processes for load and resource sharing in response to influxes of high‐acuity patients, avoiding formal rationing of lifesaving resources in many regions. Participants also described unsanctioned patient triage, early discharge, and patients counseled to accept less aggressive care (e.g., premature transition to hospice) in states that had not declared crisis standards of care. Conclusions Extending limited resources and inter‐institutional collaboration helped avoid formal rationing. Yet, patient care was unquestionably impacted due to scarcity, both real and perceived. Reports of using hospital triage protocols to deny patients lifesaving care outside of formally recognized crisis conditions and attempts to nudge patients to accept less‐resource‐intensive care are concerning. This may have had disproportionate effects on older adults, individuals with disabilities, and racial and ethnic minoritized groups. To avoid unsanctioned deviations from standard practice in future health emergencies, we recommend that transparent and equitable triage protocols are implemented with robust oversight.

Background In pediatric patients presenting after blunt trauma, the incidence of clinically significant cervical spine injury (CSI) is approximately 1%. Although multidetector CT (MDCT) is widely accepted for cervical spine clearance in adults, its utility in children remains uncertain. The purpose of this study is to evaluate the sensitivity of MDCT in identifying clinically significant CSI in pediatric patients, stratified by age groups: adolescents (12 years to 17 years) and children (0 years to 11 years). Methods We designed a national, multicenter, prospective observational study to assess the diagnostic performance of MDCT in detecting clinically significant CSI in pediatric trauma patients. Data are being collected from participating centers on imaging findings, clinical outcomes, and the presence of confirmed CSIs after blunt trauma. The analysis plan includes stratification by age group and calculation of sensitivity, specificity, and predictive values of MDCT for CSI. Results This abstract outlines the background, methodology, and analytical framework of the study. Data collection and analysis are ongoing. This study represents the largest known cohort of pediatric patients undergoing cervical spine imaging after blunt trauma and is the first prospective study of its kind focused exclusively on this population. Conclusions This study will provide critical data to inform guidelines for pediatric cervical spine clearance after blunt trauma. By evaluating the sensitivity of MDCT in detecting clinically significant CSI, the findings aim to support evidence-based imaging strategies and improve the safety and efficiency of pediatric trauma care.

Abstract Background Pregnancies complicated by gestational diabetes mellitus (GDM) are associated with increased risks of adverse perinatal outcomes, and with long-term metabolic and cardiovascular consequences for both mother and child. The original EMERGE randomized controlled trial (RCT) evaluated the effectiveness of early metformin in addition to usual care in women with GDM on glycaemic control and perinatal outcomes. The EMERGE Mothers and Kids study is a longitudinal follow-up of the EMERGE trial participants, designed to investigate the long-term metabolic, cardiovascular, and neurodevelopmental outcomes in mothers and their offspring. Methods This is a prospective, observational cohort study of participants and their children from the EMERGE trial (NCT06327191). A single follow-up visit will be conducted up to 6 years after the index pregnancy. Maternal assessments include anthropometric data, glucose tolerance, and metabolic parameters. Child assessments include growth metrics, adiposity measured via skinfold thickness, and neurodevelopmental status assessed through validated questionnaires. Additional data on quality of life, mental health, breastfeeding, and health economics will also be collected. Discussion This study aims to provide insights into the long-term safety and efficacy of metformin use during pregnancy and its potential impact on the long term maternal and child health outcomes, contributing to evidence-based management of GDM. Trial registration: ClinicalTrials.gov; Identifier: NCT06327191

Objective The objective of this study was to investigate the association between dual seropositive, single seropositive, and seronegative rheumatoid arthritis (RA) with radiographic erosions, disease flares, and death. Methods We performed a retrospective, population‐based study of residents in Southern Minnesota with incident RA who fulfilled criteria for RA in 2003 to 2019. Radiographic erosions and flares were evaluated within one year of incident RA. All‐cause mortality was obtained from medical records and death certificates. Cox models adjusted for age, sex, smoking status, year of incident RA, and comorbidities were used. Results The study included 1,373 patients with RA. At RA incidence, 37% were dual seropositive, 13% seropositive for anti–cyclic citrullinated protein (anti‐CCP) only, 12% seropositive for rheumatoid factor (RF) only, and 38% seronegative. The highest proportion of radiographic erosions before or within one year of RA incidence was in the dual seropositive (31%) and lowest in those seropositive for anti‐CCP only (13%). Flares occurred in 69% of the dual seropositive and 51% of the seropositive for anti‐CCP only within the first year of RA incidence. Those seropositive for RF only had over a two‐fold increase in mortality rates compared with the seronegatives (adjusted hazard ratio [aHR] 2.18, 95% confidence interval [CI] 1.47–3.24). In contrast, the dual seropositives had only a >50% increase in mortality rates (aHR 1.66, 95% CI 1.21–2.28), and those seropositive only for anti‐CCP had a >30% increase in mortality rates (aHR 1.32, 95% CI 0.83–2.11). Conclusion Patients with RA seropositive for RF only have an increase in mortality rates compared with patients who are dual seronegative. RF positivity could be an indicator of inflammation that requires pharmacologic treatment to decrease mortality rates.

Abstract Measurable residual disease (MRD) assessment has become central to risk-adapted treatment strategies in multiple myeloma, yet the prognostic value of MRD negativity following autologous stem cell transplantation (ASCT) across individual high-risk cytogenetic abnormalities (HRCAs) remains unclear. We analyzed 351 newly diagnosed patients who achieved MRD negativity (sensitivity 2.4×10 − 6 ) at Day 100 following ASCT and had baseline cytogenetic data available. Median follow-up was 50.4 months. Standard-risk cytogenetics were present in 46% (n = 162), while 34% (n = 118) had one HRCA and 20% (n = 71) had ≥ 2 HRCAs. Despite uniform MRD negativity, several HRCAs continued to confer inferior progression-free survival (PFS). Compared with the standard-risk group (4-year PFS 84%), patients with del(17p), 1q21+, t(4;14), or MAF translocations [t(14;16)/t(14;20)] had significantly lower 4-year PFS rates: 56% (HR 2.89; p = 0.0001), 60% (HR 2.46; p = 0.0001), 43% (HR 3.50; p = 0.0001), and 58% (HR 2.51; p = 0.01), respectively. Isolated del(17p) and 1q21 + also conferred inferior PFS. The 4-year PFS was 65% for patients with one HRCA (HR 2.31; p = 0.0004) and 55% for those with ≥ 2 HRCAs (HR 2.75; p = 0.0001). In this large MRD-negative post-ASCT cohort, several HRCAs, including isolated HRCAs, remained clinically meaningful drivers of inferior PFS, highlighting that early MRD negativity does not uniformly mitigate the impact of high-risk biology.

Abstract Introduction Cardiac CT is increasingly used to screen for cardioembolism in stroke patients. We assessed the frequency and management of non-cardiac incidental findings on prospective ECG-gated cardiac CT in patients with a suspected stroke. Patients and methods This was a post-hoc analysis of the Mind the Heart study, a prospective single-centre cohort study including consecutive adult patients with acute ischaemic stroke (AIS), transient ischaemic attack (TIA), or a stroke mimic who underwent cardiac CT as part of an acute stroke imaging protocol. Endpoints were pre-defined non-cardiac incidental findings that were detected on cardiac CT: pulmonary embolism (PE), potential malignant lesions, pulmonary consolidations or ground-glass densities, bone fractures, lymphadenopathy, focal liver lesions, and ascending aortic or pulmonary artery dilatation. Change of management was defined as additional treatment or follow-up. Results We included 654 patients (57% men, median age 71 [IQR 59–80] years) of whom 451 (69%) had AIS, 48 had TIA (7%), and 155 had a stroke mimic (24%). Overall, 58 non-cardiac incidental findings were found in 55 (8%; 95%CI, 6–11) patients. The most frequent incidental findings were consolidations or ground-glass densities (n = 17, 3%), liver cysts or non-specific hypodensities (n = 14, 2%), pulmonary nodules or masses (n = 9, 1%), and PEs (n = 8, 1%). Incidental findings led to a change of management in 17/55 (31%) patients of whom 13/55 (24%) had additional follow-up and 9/55 (16%) received treatment (anticoagulation n = 8, chemotherapy n = 1). Discussion & Conclusion Non-cardiac incidental findings were observed on cardiac CT in 8% of patients with a suspected stroke. These findings changed management in 31% of these patients.

Abstract Introduction Endovascular thrombectomy (EVT) is an effective treatment for basilar artery occlusion (BAO) stroke in select patients. While there is a growing body of literature suggesting that advanced imaging modalities such as computed tomography perfusion (CTP) and magnetic resonance (MR) may not be necessary for selecting anterior circulation large vessel occlusion stroke patients for EVT, whether advanced imaging may be superior to conventional imaging (non-contrast CT and CT angiography) in identifying good treatment candidates among BAO patients is less clear. Patients and methods This was a multicenter retrospective cohort study of BAO EVT patients treated from 2013 to 2022 in the Stroke Thrombectomy and Aneurysm Registry. Patients selected for EVT by advanced imaging (CTP or MR) were matched with those selected by conventional imaging using propensity score matching (PSM) accounting for possible confounders. Primary outcome was functional independence at 90 days. Other outcomes include bedridden state or death at 90-days and symptomatic intracranial hemorrhage (sICH). Results 268 patients were included. 150 patients were selected for BAO EVT by conventional imaging, 86 by CTP, and 32 by MR. Patients selected by advanced imaging were significantly older than those selected by conventional imaging (median age 71 vs 64 years, p = 0.001); patient characteristics were otherwise similar between cohorts. After PSM, 90-day outcomes were similar between the two cohorts (p = 0.56), with similar rates of functional independence (39.4% vs 35.1%, p = 0.65), bedridden state or death (40.4% vs 44.7%, p = 0.66), and sICH (3.3% vs 5.7%, p = 0.49) for conventional and advanced imaging groups, respectively. Results were similar across treatment time windows (all p > 0.05). Conclusions Selecting patients for basilar EVT using conventional versus advanced imaging did not result in different clinical outcomes, regardless of treatment time windows. Conventional imaging appears sufficient as a first-line tool for selecting basilar EVT patients in routine clinical practice.

Abstract Introduction Cervical arterial dissections (CeAD) can involve either single (sCeAD) or multiple (mCeAD) arteries. Whether the involvement of a single versus multiple arteries is associated with outcomes remains unclear. We aimed to study associations between the number of affected arteries and clinical, imaging and outcome parameters. Patients and methods Patients with CeAD from the STOP-CAD multicenter registry study were included. Clinical, imaging, treatment and outcome parameters were compared between patients with sCeAD and mCeAD. Regression analyses were performed to identify associations with multi-arteries involvement. Results Overall, 3858 STOP-CAD patients were included in this analysis and 443 (11.5%) had mCeAD. The presence of mCeAD was associated with age (adjusted odds ratio [aOR] 95% confidence intervals [95% CI] 0.99; (0.98–1.00)), female sex (aOR 1.5; 95% CI 1.17–1.91), recent upper respiratory infection (aOR 2.25; 95% CI 1.55–3.27), presence of connective tissue disease (aOR 3.11; 95% CI 2.32–4.17), severe arterial stenosis (aOR 1.95; 95% CI 1.95–2.58), intracranial extension (aOR 1.47; 95% CI 1.04–2.09), vertebral artery involvement (aOR 2.50; 95% CI 1.94–3.22) and presence of dissecting aneurysm (aOR 2.59; 95% CI 1.95–3.42). In adjusted analyses, mCeAD was not associated with clinical outcomes (ischemic stroke, mortality, and sICH; all p > 0.05). Conclusions mCeAD does not appear to increase risk of subsequent stroke as compared to sCAD despite baseline risk factors suggestive of vasculopathy. mCeAD patients who did develop a stroke presented with milder strokes and less often had vessel occlusions compared to those with sCeAD. The presence of mCeAD did not impact outcomes.