Aims: The aim of this study was to investigate the significance of simple 24-h Holter (24H) data after electrical cardioversion (CV) for atrial fibrillation (AF) recurrence.
Methods: We prospectively studied 47 consecutive patients subjected to CV, who successfully converted to sinus rhythm. All underwent echocardiography and 24H after CV. AF recurrence was studied at 14 days and 1 month by second 24H or by interim report of AF.
Results: About 53.2% remained in sinus rhythm (group I) and the rest recurred to AF (group II). Group I had fewer atrial premature complexes per hour (APC/h) (P = 0.002) and lower maximum (max HR), average, and minimum heart rates compared with group II (all Ps < 0.05). The optimal value of APC/h and max HR with best sensitivity and specificity was 32 APC/h and 90 bpm, respectively. These findings were the predictors of AF recurrence [hazard ratio (HR) = 4.5 with 95% CI = 1.7-11.7 and HR = 4.3 with 95% CI = 1.7-10.9, respectively]. Patients with the combination of both predictors had greater HR of AF recurrence compared with those with < 32 APC/h and max HR < 90 bpm (HR = 8.8 with 95% CI = 2.5-31.4).
Conclusion: Patients with frequent APC/h and high max HR are at high risk for 1-month AF recurrence after electrical CV.
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http://dx.doi.org/10.1093/europace/eum090 | DOI Listing |
J Clin Med
December 2024
Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité (DHZC), Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany.
The wearable cardioverter defibrillator (WCD) has emerged as a valuable tool used for temporary protection from sudden cardiac death. However, since the WCD uses surface electrodes to detect arrhythmias, it is susceptible to inappropriate detection. Although shock conversion rates for the WCD are reported to be high for detected events, its efficacy in clinical practice tends to be degraded by patient noncompliance.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Geriatrics, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: Tooth extraction is a risk factor for cardiovascular events, particularly in elderly patients. However, no clinical tool has been developed to date to predict the risk of adverse events (AEs) during tooth extraction.
Materials And Methods: We prospectively enrolled 774 elderly patients (aged ≥ 60 years) with cardiovascular disease (CVD) who were scheduled to undergo tooth extraction at the dental surgery department of Shanghai Ninth People's Hospital from January 2021 to July 2022.
World J Cardiol
December 2024
Department of Cardiovascular Medicine, Affiliated Hospital of Inner Mongolia University for Nationalities, Tongliao 028000, Inner Mongolia Autonomous Region, China.
Background: Ventricular arrhythmia is a common type of arrhythmia observed in clinical practice. It is primarily characterized by premature ventricular contractions, ventricular tachycardia, and ventricular fibrillation. Abnormal formation or transmission of cardiac electrical impulses in patients affects cardiac ejection function.
View Article and Find Full Text PDFJAMA Cardiol
December 2024
Section for Cardiac Electrophysiology, Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania, Philadelphia.
Importance: Infrequent intraprocedural premature ventricular complexes (PVCs) limit the efficacy of catheter ablation. Intravascular stimulation of sympathetic nerves via vertebral veins (VVs) has been used to activate cardiac sympathetic tone and may promote PVCs.
Objective: To characterize the ability of direct electrical sympathetic stimulation via VVs to induce PVCs at the time of catheter ablation.
In the early stages of atrial fibrillation (AF), most cases are paroxysmal (pAF), making identification only possible with continuous and prolonged monitoring. With the advent of wearables, smartwatches equipped with photoplethysmographic (PPG) sensors are an ideal approach for continuous monitoring of pAF. There have been numerous studies demonstrating successful capture of pAF events, especially using deep learning.
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