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The association between initial defibrillation dose and outcomes following adult out-of-hospital cardiac arrest resuscitation: a retrospective, multi-agency study.
Resuscitation
January 2025
West Virginia University School of Medicine, Department of Surgery.
Introduction: Effective defibrillation is essential to out-of-hospital cardiac arrest (OHCA) survival. International guidelines recommend initial defibrillation energies between 120 and 360 Joules, which has led to widespread practice variation. Leveraging this natural experiment, we aimed to explore the association between initial defibrillation dose and outcome following OHCA.
View Article and Find Full Text PDFLead-Grouped Multi-Stage Learning for Myocardial Infarction Localization.
Methods
January 2025
School of Design, Hunan University, Changsha, 410082, China. Electronic address:
The electrocardiogram (ECG) is a ubiquitous medical diagnostic tool employed to localize myocardial infarction (MI) that is characterized by abnormal waveform patterns on the ECG. MI is a serious cardiovascular disease, and accurate, timely diagnosis is crucial for preventing severe outcomes. Current ECG analysis methods mainly rely on intra- and inter-lead feature extraction, but most models overlook the medical knowledge relevant to disease diagnosis.
View Article and Find Full Text PDFComparison of Influence of Office and 24-h Central Aortic Blood Pressure on Target Organ Damage in Hypertension.
J Clin Hypertens (Greenwich)
January 2025
Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
The aim of this study was to explore whether 24-h ambulatory central (aortic) blood pressure (BP) has an advantage over office central aortic BP in screening for hypertension-mediated target organ damage (HMOD). A total of 714 inpatients with primary hypertension and the presence of several cardiovascular risk factors or complications involving clinical HMOD were enrolled. Twenty-four hour central aortic BP was measured by means of a noninvasive automated oscillometric device (Mobil-O-Graph).
View Article and Find Full Text PDFECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram.
Artif Intell Med
February 2025
Department of Cardiovascular Ultrasound, The First Hospital of China Medical University, China; Clinical Medical Research Center of Imaging in Liaoning Province, Shenyang, China.
Left ventricular systolic dysfunction (LVSD) and its severity are correlated with the prognosis of cardiovascular diseases. Early detection and monitoring of LVSD are of utmost importance. Left ventricular ejection fraction (LVEF) is an essential indicator for evaluating left ventricular function in clinical practice, the current echocardiography-based evaluation method is not avaliable in primary care and difficult to achieve real-time monitoring capabilities for cardiac dysfunction.
View Article and Find Full Text PDFA deep learning modular ECG approach for cardiologist assisted adjudication of atrial fibrillation and atrial flutter episodes.
Heart Rhythm O2
December 2024
Cardiology Department, Bichat Hospital, Paris, France.
Background: Detection of atrial tachyarrhythmias (ATA) on long-term electrocardiogram (ECG) recordings is a prerequisite to reduce ATA-related adverse events. However, the burden of editing massive ECG data is not sustainable. Deep learning (DL) algorithms provide improved performances on resting ECG databases.
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