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Introduction: Non-valvular atrial fibrillation (NVAF) is the most common cardiac arrhythmia and it is associated with a 5-fold increase in risk of ischemic stroke. Although clinical guidelines recommend antithrombotic therapy for stroke prevention in patients at moderate or high risk for stroke, little is known on the extent to which the increase of the risks influence the choice of the therapy.
Aim: The aim of the study was to assess the level of adherence to the guidelines for the prevention of thromboembolic risk in patients with NVAF.
Methods: A population-based cohort study was conducted using administrative data from a local health authority in the Campania Region (~1,000,000 inhabitants). NVAF was defined as one or more claims for atrial fibrillation between July, 2013 and June, 2014 where none of the claims were associated with cardioversion or cardiac ablation during the identification period and there was no evidence of valve-related diagnoses or procedures. The cohort was classified according to the first drug dispensing during 6 months from the discharge date for atrial fibrillation. Patients were categorized in low ischemic stroke risk (LR, score = 0), moderate-risk (MR, score = 1), high-risk (HR, score≥2) according to the CHA2DS2-VASc score. Multivariable logistic regression was used to evaluate the associations between ischemic stroke risk with the choice of non-vitamin K antagonist oral anticoagulants (NOACs) versus vitamin K antagonists (VKAs) therapy.
Results: A total of 1963 patients were identified: 4.9% LR, 7.6% MR and 87.5% HR patients. Overall, 36.4% of patients were not treated (LR: 56.7%, MR: 55.0%, HR: 33.7%patients). The Vitamin K antagonists were prescribed to 17% of the patients (LR: 10.3%, MR: 12,1%, HR: 17,8%), NOAC to 12,7% (LR: 10,3%, MR: 8,1%, HR: 13,2%), low-dose aspirin to 17.5% (LR: 13,4%, MR: 15,4%, HR: 17,9%), other antiplatelet to 12,3% (LR: 7,2%, MR: 6,0%, HR: 13,2%). The ischemic stroke was not significantly associated with the choice of anticoagulant drug.
Conclusions: High proportion of NVAF patients with CHA2DS2-VASc score of 2 or greater not received oral anticoagulant as recommended. In contrast with recent guidelines, aspirin was commonly prescribed even in HR patients. The stroke risk stratification did not influence the choice of anticoagulant drug.
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http://dx.doi.org/10.1701/2260.24336 | DOI Listing |
Am J Med Sci
September 2025
The Ruth and Bruce Rappaport Faculty of Medicine, Technion, Israel Institute of Technology, Haifa, Israel; Department of Internal Medicine, Lady Davis Carmel Medical Center, Haifa, Israel.
Objective: Multifocal atrial tachycardia (MAT), characterized by an irregularly irregular rhythm, is often regarded as a clinical imitator of atrial fibrillation (AF). We aimed to evaluate the prevalence of MAT misclassification as AF in the emergency department (ED) setting.
Methods: A retrospective analysis of 1,828 ECGs from patients discharged with AF diagnoses over five years.
Environ Res
September 2025
Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA.
Background: Fine particulate matter (PM) has been previously linked to cardiovascular diseases (CVDs). PM is a mixture of components, each of which has its own toxicity profile which are not yet well understood. This study explores the relationship between long-term exposure to PM components and hospital admissions with CVDs in the Medicare population.
View Article and Find Full Text PDFClin Neurol Neurosurg
September 2025
Department of Neurology, UPMC, Pittsburgh, PA, USA. Electronic address:
Background: Final infarct volume (FIV) is a strong predictor of stroke outcomes. Although smaller FIV are associated with better outcomes, many patients fail to achieve functional independence. We aimed to identify poor outcome predictors in patients with anterior large vessel occlusion stroke (LVOS) who underwent mechanical thrombectomy (MT) and had small FIV.
View Article and Find Full Text PDFJ Physiol
September 2025
Undergraduate Medical Education, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
J Am Coll Cardiol
August 2025
Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Cardiology, Kaiser Permanente Santa Clara Medical Center, Santa Clara, California, USA. Electronic address:
Background: Accurate measurement of echocardiographic parameters is crucial for the diagnosis of cardiovascular disease and tracking of change over time; however, manual assessment requires time-consuming effort and can be imprecise. Artificial intelligence has the potential to reduce clinician burden by automating the time-intensive task of comprehensive measurement of echocardiographic parameters.
Objectives: The purpose of this study was to develop and validate open-sourced deep learning semantic segmentation models for the automated measurement of 18 anatomic and Doppler measurements in echocardiography.