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.

Background Percutaneous left atrial appendage occlusion (LAAO) is an alternative to long‐term anticoagulation for preventing ischemic stroke in patients with atrial fibrillation. There are limited long‐term outcomes data for “real‐world” patients undergoing LAAO. Methods We performed a retrospective cohort study using the National Cardiovascular Data Registry LAAO registry from January 1, 2016, through December 31, 2019. We linked LAAO data to inpatient Medicare fee‐for‐service claims data using probabilistic matching to establish a cohort of patients 65 years and older undergoing LAAO with a WATCHMAN device. The primary outcomes were any stroke and all‐cause mortality. Results A total of 34 975 patients with a mean±SD CHA 2 DS 2 ‐VASc (congestive heart failure, hypertension, age ≥75 years, diabetes, previous stroke or transient ischemic attack, vascular disease, age 65 to 74 years, and sex category) score of 4.7±1.4 were included. The median follow‐up was 2.8 years (interquartile range, 2.2–3.7 years). The cumulative incidence of any stroke was 1.57 per 100 person‐years (95% CI, 1.45–1.70), with a 1‐year and 5‐year any stroke estimate of 1.70% (95% CI, 1.57–1.84%) and 5.70% (95% CI, 5.37–6.05%), respectively. The cumulative incidence of ischemic stroke was 1.36 per 100 person‐years (95% CI, 1.25–1.48), with a 1‐year and 5‐year ischemic stroke estimate of 1.42% (95% CI, 1.30–1.54%) and 5.03% (95% CI, 4.71–5.36%), respectively. The cumulative incidence of death was 10.82 per 100 person‐years (95% CI, 10.49–11.13), with a 5‐year mortality estimate of 44.34% (95% CI, 43.35–45.23%). Conclusions Long‐term stroke rates in a large nationally representative cohort of Medicare patients following LAAO were low and durably consistent during long‐term follow‐up despite a high thromboembolic risk. High mortality rates in this elderly population underscore the importance of incorporating patient values and preferences when considering LAAO.

AbstractRacial disparities affect multiple dimensions of epilepsy care including epilepsy surgery. This study aims to further explore these disparities by determining the utilization of invasive neuromodulation devices according to race and ethnicity in a multicenter study of patients living with focal drug‐resistant epilepsy (DRE). We performed a post hoc analysis of the Human Epilepsy Project 2 (HEP2) data. HEP2 is a prospective study of patients living with focal DRE involving 10 sites distributed across the United States. There were no statistical differences in the racial distribution of the study population compared to the US population using census data except for patients reporting more than one race. Of 154 patients enrolled in HEP2, 55 (36%) underwent invasive neuromodulation for DRE management at some point in the course of their epilepsy. Of those, 36 (71%) were patients who identified as White. Patients were significantly less likely to have a device if they identified solely as Black/African American than if they did not (odds ratio = .21, 95% confidence interval = .05–.96, p = .03). Invasive neuromodulation for management of DRE is underutilized in the Black/African American population, indicating a new facet of racial disparities in epilepsy care.

Abstract We studied patients diagnosed with aspergillosis based on positive bronchoalveolar lavage (BAL) Aspergillus galactomannan (GM) who had follow-up BAL sampling within 180 days. GM trend and clinical outcome were concordant in only 60% (30/50). While useful for the initial diagnosis, BAL GM trending does not always correlate with treatment response.

BACKGROUND: The National Cardiovascular Data Registry Left Atrial Appendage Occlusion Registry (LAAO) includes the vast majority of transcatheter LAAO procedures performed in the United States. The objective of this study was to develop a model predicting adverse events among patients undergoing LAAO with Watchman FLX. METHODS: Data from 41 001 LAAO procedures with Watchman FLX from July 2020 to September 2021 were used to develop and validate a model predicting in-hospital major adverse events. Randomly selected development (70%, n=28 530) and validation (30%, n=12 471) cohorts were analyzed with 1000 bootstrapped samples, using forward stepwise logistic regression to create the final model. A simplified bedside risk score was also developed using this model. RESULTS: Increased age, female sex, low preprocedure hemoglobin, no prior attempt at atrial fibrillation termination, and increased fall risk most strongly predicted in-hospital major adverse events and were included in the final model along with other clinically relevant variables. The median in-hospital risk-standardized adverse event rate was 1.50% (range, 1.03%–2.84%; interquartile range, 1.42%–1.64%). The model demonstrated moderate discrimination (development C-index, 0.67 [95% CI, 0.65–0.70] and validation C-index, 0.66 [95% CI, 0.62–0.70]) with good calibration. The simplified risk score was well calibrated with risk of in-hospital major adverse events ranging from 0.26% to 3.90% for a score of 0 to 8, respectively. CONCLUSIONS: A transcatheter LAAO risk model using National Cardiovascular Data Registry and LAAO Registry data can predict in-hospital major adverse events, demonstrated consistency across hospitals and can be used for quality improvement efforts. A simple bedside risk score was similarly predictive and may inform shared decision-making.

Abstract Background Organ transplant recipients are at increased risk of potentially life-threatening opportunistic infections, including Pneumocystis jirovecii pneumonia (PJP). Given the use of effective prophylaxis, PJP has become less common, especially during the first-year post-transplant. Recent data has shown that the risk of infection has shifted within the first 2 years after discontinuing prophylaxis. We aimed to determine risk factors for late posttransplant PJP using a national database. Methods Using the United States Renal Data System database, we performed a retrospective case-control study of patients who underwent kidney transplant from 1998 through 2019. To evaluate risk factors for late PJP, we performed logistic regression analysis by comparing characteristics between infected patients and their matched uninfected controls. Results We identified 407 cases with PJP and matched to 1628 controls (1:4). 60 (14.7%) of the cases occurred within one year post transplant and 347 (85.3%) patients were diagnosed after one year of transplant. In the late period, the median time between transplant and PJP diagnosis was 68.7 (IQR 28 -134.2) months. Seventy cases (20.1%) occurred between 12 and 24 months. In multivariate analysis (table 1), risk factors for late infection included a higher Elixhauser Comorbidity Index (ECI), history of cytomegalovirus disease, older donor age, use of antilymphocyte agents, history of re-transplant and a longer time of hemodialysis prior to transplant. Of note, in the early period, we found that having a living donor was protective. Multivariate analysis of risk factors for late Pneumocystis jirovecii pneumonia Conclusion Our findings highlight the importance of a timely transplant to mitigate the risk of post-transplant PJP in the late post-transplant period where prophylaxis is not routinely used. These results also raise the consideration of PJP prophylaxis in the late period in patients diagnosed with CMV disease, history of re transplant and recent use of antilymphocyte agents. Disclosures Paschalis Vergidis, MD, MSc, AbbVie: Advisor/Consultant|Ansun: Grant/Research Support|Cidara: Grant/Research Support|Scynexis: Grant/Research Support

AbstractCorrectly diagnosing and classifying seizures and epilepsies is paramount to ensure the delivery of optimal care to patients with epilepsy. Focal seizures, defined as those that originate within networks limited to one hemisphere, are primarily subdivided into focal aware, focal impaired awareness, and focal to bilateral tonic–clonic seizures. Focal epilepsies account for most epilepsy cases both in children and adults. In children, focal epilepsies are typically subdivided in three groups: self‐limited focal epilepsy syndromes (e.g., self‐limited epilepsy with centrotemporal spikes), focal epilepsy of unknown cause but which do not meet criteria for a self‐limited focal epilepsy syndrome, and focal epilepsy of known cause (e.g., structural lesions—developmental or acquired). In adults, focal epilepsies are often acquired and may be caused by a structural lesion such as stroke, infection and traumatic brain injury, or brain tumors, vascular malformations, metabolic disorders, autoimmune, and/or genetic causes. In addition to seizure semiology, neuroimaging, neurophysiology, and neuropathology constitute the cornerstones of a diagnostic evaluation. Patients with focal epilepsy who become drug‐resistant should promptly undergo assessment in an epilepsy center. After excluding pseudo‐resistance, these patients should be considered for presurgical evaluation as a means to identify the location and extent of the epileptogenic zone and assess their candidacy for a surgical procedure. The goal of this seminar in epileptology is to summarize clinically relevant information concerning focal epilepsies. This contributes to the ILAE's mission to ensure that worldwide healthcare professionals, patients, and caregivers continue to have access to high‐quality educational resources concerning epilepsy.

AbstractBackgroundKidney transplant recipients are at increased risk for invasive aspergillosis (IA), a disease with poor outcomes and substantial economic burden. We aimed to determine risk factors for posttransplant IA by using a national database and to assess the association of IA with mortality and allograft failure.MethodsUsing the United States Renal Data System database, we performed a retrospective case-control study of patients who underwent kidney transplant from 1998 through 2017. To evaluate risk factors for IA, we performed conditional logistic regression analysis by comparing characteristics between IA-infected patients and their matched uninfected controls. We performed Cox regression analysis to evaluate the effects of IA on mortality and death-censored allograft failure.ResultsWe matched 359 patients with IA to 1436 uninfected controls (1:4). IA was diagnosed at a median of 22.5 months (interquartile range, 5.4–85.2 months) after kidney transplant. Risk factors for IA were Black/African American race, duration of pretransplant hemodialysis, higher Elixhauser Comorbidity Index score, weight loss, chronic pulmonary disease, need for early posttransplant hemodialysis, and a history of cytomegalovirus infection. Receiving an allograft from a living donor was protective against IA. IA was a strong independent predictor of 1-year mortality (adjusted hazard ratio [aHR], 5.02 [95% confidence interval {CI}, 3.58–7.04], P < .001). Additionally, IA was associated with 1-year allograft failure (aHR, 3.37 [95% CI, 1.96–5.77], P < .001).ConclusionsOur findings emphasize the importance of timely transplant to mitigate the risk of posttransplant IA. An individualized approach to disease prevention is essential to decrease mortality and allograft failure.