Objective: The data of 51 patients (33 females) who underwent excision of left atrial (LA) myxoma were retrospectively reviewed for correlation of tumour size and electrocardiographic (ECG) findings.
Methods And Results: Mean age was 39.1 ± 15 years (range 9-53 years). The LA enlargement (LAE) on ECG was defined by standard criteria. The LAE in ECG in these patients did not correlate with echocardiographic LA dimensions or with the degree of left ventricular (LV) inflow obstruction. But it was found that the presence of LAE in ECG predicted maximum tumour dimension of >5 cm and correlated with the degree of mitral regurgitation (MR). The LAE in ECG disappeared following surgery in 87.5% of patients.
Conclusion: The LA enlargement on ECG in a patient with LA myxoma signifies larger tumour size or the presence of significant MR but is not necessarily associated with an increased LA size or LV inflow obstruction.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3860847 | PMC |
| http://dx.doi.org/10.1016/S0019-4832(12)60055-8 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Factors associated with the detection of atrial fibrillation in patients with embolic stroke of undetermined source.
BMC Neurol
January 2025
Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, Seoul, 138-736, South Korea.
Background: Detection of atrial fibrillation (AF) in patients with embolic stroke of undetermined source (ESUS) is important for the secondary prevention of stroke. We investigated the factors associated with the detection of newly diagnosed AF in ESUS patients during follow-up.
Methods: Patients with acute ischemic stroke classified as ESUS were included.
Nonmodifiable Risk Factors Predict Outcomes in Brugada Syndrome.
J Am Coll Cardiol
November 2024
Molecular Cardiology Unit, IRCCS Istituti Clinici Scientifici Maugeri, Pavia, Italy; Department of Molecular Medicine, University of Pavia, Pavia, Italy. Electronic address:
Article Synopsis
- This study investigates nonmodifiable risk factors for life-threatening arrhythmic events (LAEs) in patients with Brugada syndrome (BrS), focusing on factors like sex and genetic mutations.
- Data was collected from over 2,000 Italian patients with BrS, revealing that male sex and specific SCN5A gene mutations significantly increase the risk of experiencing LAEs.
- The findings suggest that certain nonmodifiable risks can help stratify patients into different risk profiles, aiding in the management and prognostication of BrS.
Comparing Artificial Intelligence-Enabled Electrocardiogram Models in Identifying Left Atrium Enlargement and Long-term Cardiovascular Risk.
Can J Cardiol
April 2024
Division of Cardiology, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan; School of Medicine, Chang Gung University, Taoyuan, Taiwan. Electronic address:
Article Synopsis
- The study investigates how AI-enabled electrocardiography models can identify left atrial enlargement (LAE) using both P-wave analysis and single-lead ECGs in patients with sinus rhythm and non-sinus rhythm.
- It analyzes data from over 382,000 patients, comparing the effectiveness of these AI models to traditional echocardiography in diagnosing LAE.
- Results indicate that AI ECG models are better at predicting future cardiovascular diseases linked to severe LAE than echocardiography, with P-waves being crucial for accurate identification.
Stacked machine learning models to classify atrial disorders based on clinical ECG features: a method to predict early atrial fibrillation.
Biomed Tech (Berl)
August 2023
Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, Odisha, India.
Objectives: Atrial Tachycardia (AT) and Left Atrial Enlargement (LAE) are atrial diseases that are significant precursors to Atrial Fibrillation (AF). There are ML models for ECG classification; clinical features-based classification is required. The suggested work aims to create stacked ML models that categorize Sinus Rhythm (SR), Sinus Tachycardia (ST), AT, and LAE signals based on clinical parameters for AF prognosis.
View Article and Find Full Text PDFEditorial: Insights in cardiovascular epidemiology and prevention: 2022.
Front Cardiovasc Med
February 2023
Department of Medicine, Hualien Armed Forces General Hospital, Hualien City, Taiwan.
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!