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Artificial Intelligence-Enhanced Electrocardiography for Prediction of Incident Hypertension.
JAMA Cardiol
January 2025
National Heart and Lung Institute, Imperial College London, United Kingdom.
Importance: Hypertension underpins significant global morbidity and mortality. Early lifestyle intervention and treatment are effective in reducing adverse outcomes. Artificial intelligence-enhanced electrocardiography (AI-ECG) has been shown to identify a broad spectrum of subclinical disease and may be useful for predicting incident hypertension.
View Article and Find Full Text PDFAn autopsy case of cholesterol crystal embolization following alteplase administration for acute ischemic stroke.
Neurol Sci
January 2025
Department of Diagnostic Pathology, Asama Nanroku Komoro Medical Center, Komoro, Nagano, Japan.
Impact of delayed adoption of novel atrial fibrillation treatments.
Am J Manag Care
December 2024
Center for Healthcare Economics and Policy, FTI Consulting, 350 S Grande Ave, Los Angeles, CA 90071. Email:
Objective: To examine the relationship between adoption of direct oral anticoagulants (DOACs) and health and cost outcomes for patients with nonvalvular atrial fibrillation.
Study Design: Real-world cohort study.
Methods: US adults who newly initiated treatment for nonvalvular atrial fibrillation were identified from claims data.
Discovery of HZS60 as a Novel Brain Penetrant NMDAR/TRPM4 Interaction Interface Inhibitor with Improved Activity and Pharmacokinetic Properties for the Treatment of Cerebral Ischemia.
J Med Chem
January 2025
Department of Neurology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, China.
The death signaling complex comprising extrasynaptic NMDAR and TRPM4 plays a pivotal role in the pathogenesis of ischemic stroke. Targeting the protein-protein interactions between NMDAR and TRPM4 represents a promising therapeutic strategy for ischemic stroke. Herein, we describe the discovery of a novel series of NMDAR/TRPM4 interaction interface inhibitors aimed at enhancing neuroprotective efficacy and optimizing pharmacokinetic profiles.
View Article and Find Full Text PDFUtilization of flat-panel detector computed tomography for evaluation of COVID-19 pneumonia during neurointerventional procedures.
Tuberk Toraks
December 2024
Department of Neurosurgery, Yale University Faculty of Medicine, New Haven, United States.
Introduction: This study aimed to evaluate the imaging findings of the chest flat panel detector computed tomography (FDCT) among coronavirus disease-2019 (COVID-19) positive patients during urgent/emergent interventional neuroradiologic procedures.
Materials And Methods: Chest FDCT examinations were performed using a C-arm mounted FDCT within the interventional radiology (IR) suite if the reverse transcription polymerase chain reaction (RT-PCR) results were pending in patients with clinical findings suggestive of COVID-19. In those who already had positive RT-PCR results, FDCT was performed for acute evaluation only if an acute unexpected cardiopulmonary event occurred during the procedure.
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