Purpose: Evaluation of the diagnostic value of continuous electrocardiographic recording (Holter monitoring) in Paediatric Cardiology.
Study Design: Retrospective study based on the data records of the Arrhythmia Department regarding patients with less than 20 years of age with Holter monitoring performed between January 1983 and February 1995 (374 recordings).
Patients: 277 patients were studied, 163 were male and 114 female with a mean age of 12 +/- 5 years. Heart organic anomalies were present in 155 patients and 92 patients had previous cardiac surgery with cardiopulmonary bypass. Clinical indications for Holter recording were the evaluation of symptoms related to arrhythmias (38%), documented dysrhythmia (23%), arrhythmia detected on physical examination (18%) and evaluation of risk in patients without symptoms of arrhythmia (17%).
Methods: Holter recordings were performed during 24 hours with two channels (modified V1 and V5).
Results: Significant rhythm and conduction disturbances were found in 122 patients. These were ventricular premature complexes > or = 10/hour (27 patients), AV block (25 patients) and supraventricular premature complexes > or = 10/hour (22 patients). Holter recording revealed significant dysrhythmias in 52% of patients with previously documented dysrhythmia, in 43% of patients referred for assessment of risk without symptoms of arrhythmia, provided insight in 48% of requests due to arrhythmia detected on physical examination and 24% of requests for symptoms related to arrhythmias. In 13 patients the results of Holter recording led to therapeutic or diagnostic measures.
Conclusions: Holter recording showed an overall sensitivity of 44% in the detection of significant arrhythmias and led to therapeutic and additional diagnostic measures in 11% of these patients. Holter recording seems to provide important information in the evaluation of arrhythmias in the paediatric age group.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Residual-attention deep learning model for atrial fibrillation detection from Holter recordings.
J Electrocardiol
January 2025
Dipartimento di Informatica, Università degli Studi di Milano, Milan, Italy. Electronic address:
Background: Detecting subtle patterns of atrial fibrillation (AF) and irregularities in Holter recordings is intricate and unscalable if done manually. Artificial intelligence-based techniques can be beneficial. In fact, with the rapid advancement of AI, deep learning (DL) demonstrated the capability to identify AF from ECGs with significant performance.
View Article and Find Full Text PDFDynamic Data-Driven Management of Atrial Fibrillation With Implantable Cardiac Monitors: The MONITOR AF Study.
Heart Rhythm
January 2025
Kansas City Hearth Rhythm Institute, Overland Park, KS. Electronic address:
Background: Implantable cardiac monitors (ICMs) provide valuable insights into managing atrial fibrillation (AF). Data suggest that ICMs increase AF detection, but their impact on management is still uncertain.
Objectives: To evaluate and compare the impact of ICMs on the clinical management of AF.
A 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.
View Article and Find Full Text PDFSex differences in the prognosis of nonsustained ventricular tachycardia detected on Holter recording.
Heart Rhythm O2
July 2024
Department of Cardiology, Bispebjerg and Frederiksberg Hospitals, Copenhagen University, Copenhagen, Denmark.
Background: Nonsustained ventricular tachycardia (NSVT) is a common finding during cardiac evaluation and has been linked to increased mortality. While some studies report a sex difference, most data stem from research cohorts.
Objective: This study aimed to assess the prognostic significance of NSVT in a real-life outpatient clinic, focusing on sex differences in mortality.
Sex-Specific Analysis of the Relationship Between Ventricular Premature Contractions Frequency Distribution and Heart Rate: A Cross-Sectional Study in Chinese Adults.
Int J Gen Med
January 2025
Department of Cardiology, The First People's Hospital of Yibin, Yibin, Sichuan, People's Republic of China.
Objective: To investigate the correlation between premature ventricular contraction (PVC) frequency and heart rate (HR) in Chinese adults, with an emphasis on sex-specific differences in clinical characteristics.
Patients And Methods: This retrospective study analyzed 24-hour Holter monitoring data from 478 inpatients at the First People's Hospital of Yibin between January 2021 and December 2022. The inclusion criteria were age ≥18 years, ≥20 hours of Holter recording, frequent PVCs (≥ 500 PVCs), and complete clinical profiles.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!