Citations

Background: New-onset atrial fibrillation (NOAF) in COVID-19 raises significant clinical and public health issues. This systematic review and meta-analysis aims to compile and analyze the current literature on NOAF in COVID-19 and give a more comprehensive understanding of the prevalence and outcomes of NOAF in COVID-19. Methods: A comprehensive literature search was carried out using several databases. The random effect model using inverse variance method and DerSimonian and Laird estimator of Tua2 was used to calculate the pooled prevalence and associated 95% confidence interval (CI). Results for outcome analysis were presented as odds ratios (ORs) with 95% CI and pooled using the Mantel-Haenszel random-effects model. Results: The pooled prevalence of NOAF in COVID-19 was 7.8% (95% CI, 6.54% to 9.32%), pooled estimate from 30 articles (81,929 COVID-19 patients). Furthermore, our analysis reported that COVID-19 patients with NOAF had a higher risk of developing severe disease compared with COVID–19 patients without a history of atrial fibrillation (OR= 4.78, 95% CI 3.75 to 6.09) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR= 2.75, 95% CI 2.10 to 3.59) . Similarly, our analysis also indicated that COVID–19 patients with NOAF had a higher risk of all-cause mortality compared with, COVID–19 patients without a history of atrial fibrillation (OOR= 3.83, 95% CI 2.99 to 4.92) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR= 2.32, 95% CI 1.35 to 3.96). The meta-analysis did not reveal any significant publication bias. Conclusion: The results of the current meta-analysis a high prevalence rate of NOAF among COVID-19 patients. Further the study reported higher disease severity with NOAF compared with COVID-19 patients without a history of atrial fibrillation and with a history of atrial fibrillation.

ImportanceIncreased white matter hyperintensity (WMH) volume is a common magnetic resonance imaging (MRI) finding in both autosomal dominant Alzheimer disease (ADAD) and late-onset Alzheimer disease (LOAD), but it remains unclear whether increased WMH along the AD continuum is reflective of AD-intrinsic processes or secondary to elevated systemic vascular risk factors.ObjectiveTo estimate the associations of neurodegeneration and parenchymal and vessel amyloidosis with WMH accumulation and investigate whether systemic vascular risk is associated with WMH beyond these AD-intrinsic processes.Design, Setting, and ParticipantsThis cohort study used data from 3 longitudinal cohort studies conducted in tertiary and community-based medical centers—the Dominantly Inherited Alzheimer Network (DIAN; February 2010 to March 2020), the Alzheimer’s Disease Neuroimaging Initiative (ADNI; July 2007 to September 2021), and the Harvard Aging Brain Study (HABS; September 2010 to December 2019).Main Outcome and MeasuresThe main outcomes were the independent associations of neurodegeneration (decreases in gray matter volume), parenchymal amyloidosis (assessed by amyloid positron emission tomography), and vessel amyloidosis (evidenced by cerebral microbleeds [CMBs]) with cross-sectional and longitudinal WMH.ResultsData from 3960 MRI sessions among 1141 participants were included: 252 pathogenic variant carriers from DIAN (mean [SD] age, 38.4 [11.2] years; 137 [54%] female), 571 older adults from ADNI (mean [SD] age, 72.8 [7.3] years; 274 [48%] female), and 318 older adults from HABS (mean [SD] age, 72.4 [7.6] years; 194 [61%] female). Longitudinal increases in WMH volume were greater in individuals with CMBs compared with those without (DIAN: t = 3.2 [P = .001]; ADNI: t = 2.7 [P = .008]), associated with longitudinal decreases in gray matter volume (DIAN: t = −3.1 [P = .002]; ADNI: t = −5.6 [P < .001]; HABS: t = −2.2 [P = .03]), greater in older individuals (DIAN: t = 6.8 [P < .001]; ADNI: t = 9.1 [P < .001]; HABS: t = 5.4 [P < .001]), and not associated with systemic vascular risk (DIAN: t = 0.7 [P = .40]; ADNI: t = 0.6 [P = .50]; HABS: t = 1.8 [P = .06]) in individuals with ADAD and LOAD after accounting for age, gray matter volume, CMB presence, and amyloid burden. In older adults without CMBs at baseline, greater WMH volume was associated with CMB development during longitudinal follow-up (Cox proportional hazards regression model hazard ratio, 2.63; 95% CI, 1.72-4.03; P < .001).Conclusions and RelevanceThe findings suggest that increased WMH volume in AD is associated with neurodegeneration and parenchymal and vessel amyloidosis but not with elevated systemic vascular risk. Additionally, increased WMH volume may represent an early sign of vessel amyloidosis preceding the emergence of CMBs.

We report a case highlighting key clinical, CSF, and imaging findings of recurrent pleomorphic xanthoastrocytoma with leptomeningeal spread.

Background: Tobacco smoking during pregnancy is associated with metabolic dysfunction in children, but mechanistic insights remain limited. Hypomethylation of cg05575921 in the aryl hydrocarbon receptor repressor (AHRR) gene is associated with in utero tobacco smoke exposure. In this study, we evaluated whether AHRR hypomethylation mediates the association between maternal smoking and metabolic dysfunction in children. Methods: We assessed metabolic dysfunction using liver fat content (LFC), serum, and clinical data in children aged 7–12 years (n=78) followed since birth. Maternal smoking was self-reported at 12 weeks gestation. Methylation was measured by means of pyrosequencing at 3 sequential CpG sites, including cg05575921, at birth and at ages 7–12. Regression models were used to evaluate whether AHRR methylation mediated the association between maternal smoking and child metabolic dysfunction. Results: Average AHRR methylation at birth was significantly higher among children of nonsmoking mothers compared with children of mothers who smoked (69.8% ± 4.4% vs. 63.5% ± 5.5, p=0.0006). AHRR hypomethylation at birth was associated with higher liver fat content (p=0.01), triglycerides (p=0.01), and alanine aminotransferase levels (p=0.03), and lower HDL cholesterol (p=0.01) in childhood. AHRR hypomethylation significantly mediated associations between maternal smoking and liver fat content (indirect effect=0.213, p=0.018), triglycerides (indirect effect=0.297, p=0.044), and HDL cholesterol (indirect effect = -0.413, p=0.007). AHRR methylation in childhood (n=78) was no longer significantly associated with prenatal smoke exposure or child metabolic parameters (p>0.05). Conclusions: AHRR hypomethylation significantly mediates the association between prenatal tobacco smoke exposure and features of childhood metabolic dysfunction, despite the lack of persistent hypomethylation of AHRR into childhood. Further studies are needed to replicate these findings and to explore their causal and long-term significance.

Importance Electroencephalograms (EEGs) are a fundamental evaluation in neurology but require special expertise unavailable in many regions of the world. Artificial intelligence (AI) has a potential for addressing these unmet needs. Previous AI models address only limited aspects of EEG interpretation such as distinguishing abnormal from normal or identifying epileptiform activity. A comprehensive, fully automated interpretation of routine EEG based on AI suitable for clinical practice is needed. Objective To develop and validate an AI model (Standardized Computer-based Organized Reporting of EEG–Artificial Intelligence [SCORE-AI]) with the ability to distinguish abnormal from normal EEG recordings and to classify abnormal EEG recordings into categories relevant for clinical decision-making: epileptiform-focal, epileptiform-generalized, nonepileptiform-focal, and nonepileptiform-diffuse. Design, Setting, and Participants In this multicenter diagnostic accuracy study, a convolutional neural network model, SCORE-AI, was developed and validated using EEGs recorded between 2014 and 2020. Data were analyzed from January 17, 2022, until November 14, 2022. A total of 30 493 recordings of patients referred for EEG were included into the development data set annotated by 17 experts. Patients aged more than 3 months and not critically ill were eligible. The SCORE-AI was validated using 3 independent test data sets: a multicenter data set of 100 representative EEGs evaluated by 11 experts, a single-center data set of 9785 EEGs evaluated by 14 experts, and for benchmarking with previously published AI models, a data set of 60 EEGs with external reference standard. No patients who met eligibility criteria were excluded. Main Outcomes and Measures Diagnostic accuracy, sensitivity, and specificity compared with the experts and the external reference standard of patients’ habitual clinical episodes obtained during video-EEG recording. Results The characteristics of the EEG data sets include development data set (N = 30 493; 14 980 men; median age, 25.3 years [95% CI, 1.3-76.2 years]), multicenter test data set (N = 100; 61 men, median age, 25.8 years [95% CI, 4.1-85.5 years]), single-center test data set (N = 9785; 5168 men; median age, 35.4 years [95% CI, 0.6-87.4 years]), and test data set with external reference standard (N = 60; 27 men; median age, 36 years [95% CI, 3-75 years]). The SCORE-AI achieved high accuracy, with an area under the receiver operating characteristic curve between 0.89 and 0.96 for the different categories of EEG abnormalities, and performance similar to human experts. Benchmarking against 3 previously published AI models was limited to comparing detection of epileptiform abnormalities. The accuracy of SCORE-AI (88.3%; 95% CI, 79.2%-94.9%) was significantly higher than the 3 previously published models ( P < .001) and similar to human experts. Conclusions and Relevance In this study, SCORE-AI achieved human expert level performance in fully automated interpretation of routine EEGs. Application of SCORE-AI may improve diagnosis and patient care in underserved areas and improve efficiency and consistency in specialized epilepsy centers.

Introduction: Cardiac arrhythmias are common in continuous flow left ventricular assist device (LVAD) recipients. The impact of axial vs. intrapericardial centrifugal LVAD pumps on arrhythmia incidence and associated clinical outcomes is unclear. Hypothesis: This multicenter study evaluated the impact of LVAD type (axial vs. centrifugal) on incidence of atrial and ventricular arrhythmias, ICD shocks and mortality in LVAD patients. Methods: Analysis was done on 536 patients who underwent LVAD implantation at 5 US centers from 2008 to 2016. The groups were divided based on their LVAD type (axial - HeartMate II [HMII, n=433] vs. centrifugal - HeartWare (HW, n=103). Baseline characteristics as well as incidence of post-LVAD atrial arrhythmias (PL-AA), ventricular arrhythmias (PL-VA) and ICD shocks were analyzed in these groups. Multivariable Cox Regression analysis was used to identify predictors of survival. Results: Of 536 patients, 433 had HMII axial LVAD and 103 had HW centrifugal VAD implant. At baseline, HMII group had more males, higher proportion of CRT-D and higher prevalence of AA (Table 1A). Left ventricular dimensions were similar between groups. During a median follow-up of 537 days of LVAD support, incidence of PL-VA and ICD shocks were significantly higher in the HM2 group compared to HW group whereas incidence of PL-AA was not significantly different (Table 1A). In multivariable Cox Regression analysis, LVAD indication was the only variable that predicted survival (Table 1B). Type of LVAD (axial vs. centrifugal) was not associated with survival (HMII vs. HW - HR 1.04, P=0.48). Conclusions: In this multi-center continuous flow LVAD cohort, axial HM2 VAD patients had a higher incidence of PL-VA and ICD shocks. Type of LVAD (axial vs. centrifugal) was not associated with survival.

Introduction: Increasingly, catheter ablation for atrial fibrillation (AF) has been utilized for rhythm control and to improve quality of life (QoL). Data are limited on patient-centered ablation outcomes in individuals with chronic kidney disease (CKD). Objective: To examine clinical outcomes and QoL following AF ablation in CKD patients from a large patient-reported outcomes (PRO) database. Methods: All patients undergoing AF ablation (2013-2016) at our center were enrolled and assessed for outcomes using automated PRO surveys (baseline, 3 and 6 months after ablation, every 6 months thereafter). This analysis captured data at 1- and 3-year follow-up. CKD was defined as estimated glomerular filtration rate (eGFR) <60 ml/min using the 2021 CKD-EPI equation. The atrial fibrillation symptom severity scale (AFSSS) was used as the main measure for QoL assessment. In addition, data were collected on clinical improvement by patient report, AF burden, and healthcare utilization. Results: A total of 488 patients were identified (66% male, mean age 68.5, 56.2% persistent AF). QoL was significantly improved from baseline median (IQR) AFSSS of 14 (6-19.5) to 3 (0-9) at 1-year and 4 (0-9.5) at 3-year; P≤0.0001 for both. About 90% of patients reported improvement in their overall AF-related symptoms both at 1- and 3-year follow up. The proportion of patients in AF at the time of completion of the baseline survey was 51.2%, and this decreased to 6.2% at 1-year and 9.7% at 3-year follow up (P<0.0001 for both). AF burden was significantly reduced at 1-year and 3-year including frequency and duration of episodes (P<0.05 for both), with associated decrease in ER visits and hospitalizations; P<0.0001 for all comparisons. The proportion of patients on antiarrhythmics decreased from 61.8% at baseline to 35.6% and 22.7% at 1-year and 3-year, respectively (P<0.0001 for both). Conclusions: In a large AF-specific PRO system, catheter ablation for AF was associated with a significant improvement of QoL in most patients with CKD; with a decrease in AF burden and healthcare utilization.

Introduction: Atrial fibrillation (AF) remains a significant cause of morbidity and mortality in the United States. Optimal management of AF in heart failure (HF) patients remains a controversy. Recent studies have demonstrated favorable outcomes of catheter ablation versus medical therapy. The purpose of this meta-analysis is to investigate whether catheter ablation achieves better outcomes as compared to rate control. Methods: A systematic search of MEDLINE was conducted using PRISMA guidelines with the search terms “rate control”, “atrial fibrillation”, and “ablation.” Studies were included if they compared a catheter ablation strategy versus rate control medical therapy in HF patients. Multiple endpoints were extracted from the articles including LVEF, 6MWD, change in BNP, and Quality of Life (QoL) outcomes using the Cochrane manual. Revman 5.4 was used to aggregate the outcomes and compute statistics using a random effects model to create forest plots. Results: A total of 7 studies with 1065 patients were included in this analysis. LVEF increased by 5.69% [4.80, 6.58] p<0.00001, 6MWD increased by 24.82m [2.69, 46.94] p=0.03, BNP decreased -102.54 [-174.68, -30.40] p=0.005, and QoL outcomes using the MLHFQ improved -8.10 [-15.73, -0.48] p=0.04. Conclusions: Catheter ablation improves outcomes in HF patients with atrial fibrillation as compared to a rate control only strategy. Further large-scale randomized studies are needed to quantify improvements in outcomes.