Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1213/01.ane.0000287013.96196.5b | DOI Listing |
JACC Adv
February 2025
Department of Cardiology, Oklahoma Heart Hospital, Oklahoma, USA.
Background: Electrocardiography (ECG) is the gold standard for the diagnosis of atrial fibrillation (AF). Recently, smartwatches like the Apple Watch have emerged as a promising, user-friendly device for rapid detection and diagnosis of AF, but the reliability and diagnostic accuracy still remain controversial.
Objectives: The purpose of this study was to perform a systematic review and diagnostic test accuracy meta-analysis evaluating the diagnostic performance of the Apple Watch ECG in detecting AF.
JACC Clin Electrophysiol
January 2025
Cardiac Electrophysiology Section, Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA; Duke Clinical Research Institute, Durham, North Carolina, USA. Electronic address:
Background: In patients with structurally normal hearts, algorithms using surface electrocardiographic P-wave morphology are helpful to predict focal atrial tachycardia (FAT) location. However, these algorithms have not been formally assessed in patients with adult congenital heart disease (ACHD).
Objectives: This study sought to assess the efficacy of FAT-location prediction algorithms in an adult population of patients with ACHD.
Arq Bras Cardiol
January 2025
Cardiovascular Medicine Department, Faculty of Medicine, Tanta University, Tanta - Egito.
Background: There is still a significant population of patients with embolic stroke of Undetermined Source (ESUS) whose specific attributable cause of the stroke remains unknown.
Objectives: Our research aimed to assess clinical, electrocardiogram, laboratory, and echocardiographic parameters that may predict the propensity of paroxysmal atrial fibrillation (PAF).
Methods: We enrolled seventy-five ESUS patients who were in sinus rhythm at the time of stroke diagnosis to undergo in-hospital 7-day Holter monitoring, testing for Pro-BNP, and a standard echocardiographic examination.
Eur J Heart Fail
January 2025
Medical University of South Carolina, Charleston, SC, USA.
Aims: Early identification and management of worsening heart failure (HF) is necessary to prevent disease progression and hospitalizations. The ALLEVIATE-HF (Algorithm Using LINQ Sensors for Evaluation and Treatment of Heart Failure) trial is a prospective, randomized, controlled, double-blind, multicentre trial that aims to assess the safety and efficacy of using the Reveal LINQ™ insertable cardiac monitor (ICM) in patients with HF to continuously monitor and evaluate HF risk status and guide timely interventions.
Methods: The ICM algorithm uses parameters derived from electrocardiogram (atrial fibrillation [AF], ventricular rate during AF, heart rate variability, and night heart rate), three-axis accelerometer (patient activity duration), and subcutaneous bioimpedance (fluid volume, respiration rate).
Pacing Clin Electrophysiol
January 2025
Department of Cardiovascular Medicine, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Background: This study aimed to compare inappropriate shock (IAS) rates between subcutaneous implantable cardioverter-defibrillator (S-ICD) and transvenous ICD (TV-ICD) in Brugada syndrome (BrS) patients and identify risk factors for IAS in S-ICD use.
Methods: We enrolled consecutive patients with BrS who underwent ICD implantation between 2013 and 2023. Data on clinical characteristics, S-ICD screening test data, and IAS occurrence were retrospectively analyzed.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!