Related Experiment Video
Updated: Jan 19, 2026

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
Electrocardiographic predictors of cardiovascular events in patients at high cardiovascular risk: a multicenter study
Rungroj Krittayaphong1, Muenpetch Muenkaew2, Polakit Chiewvit1
1Division of Cardiology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Insights
Electrocardiogram (ECG) abnormalities are common in high-risk patients and predict major adverse cardiovascular events (MACE). Specific findings like atrial fibrillation and Q-waves significantly increase MACE risk.
Area of Science:
- Cardiology
- Preventive Medicine
- Diagnostic Imaging
Background:
- Limited data exist on electrocardiogram (ECG) abnormality prevalence and major adverse cardiovascular event (MACE) prediction in high-risk individuals.
- This study addresses the need for data on ECG findings in patients with established atherosclerotic disease (EAD) or multiple risk factors (MRF).
Purpose of the Study:
- To determine the prevalence of ECG abnormalities in patients at high cardiovascular risk.
- To identify specific ECG abnormalities that predict MACE in this population.
Main Methods:
- Consecutive enrollment of 2009 patients (≥45 years) with EAD or MRF from April 2011 to March 2014.
- Data collection included demographics, risk factors, medical history, physical exam, ECG (Minnesota Code criteria), and medications.
- MACE definition: cardiovascular death, non-fatal myocardial infarction, unstable angina, or heart failure hospitalization.
Main Results:
- A high prevalence of ECG abnormalities was observed, including pathological Q-wave (21.3%), T-wave inversion (20.0%), left ventricular hypertrophy (12.2%), and AV block (12.5%).
- MACE occurred in 4.4% of patients.
- Independent MACE predictors included chronic kidney disease, EAD, and ECG findings of atrial fibrillation, Q/QS, intraventricular conduction delay (IVCD), or left ventricular hypertrophy (LVH).
Conclusions:
- A high prevalence of ECG abnormalities exists in high-cardiovascular-risk patients, even those without diagnosed cardiovascular disease.
- Specific ECG abnormalities are significant predictors of MACE, highlighting their prognostic value.
Background:
There are limited data on the prevalence of electrocardiographic (ECG) abnormalities, and their value for predicting a major adverse cardiovascular event (MACE) in patients at high cardiovascular risk. This study aimed to determine the prevalence of ECG abnormalities in patients at high risk for cardiovascular events, and to identify ECG abnormalities that significantly predict MACE.
Methods:
Patients aged ≥ 45 years with established atherosclerotic disease (EAD) were consecutively enrolled from the outpatient clinics of the six participating hospitals during April 2011 to March 2014. The following data were collected: demographic data, cardiovascular risk factors, history of cardiovascular event, physical examination, ECG and medications. ECG was analyzed using Minnesota Code criteria. MACE included cardiovascular death, non-fatal myocardial infarction, and hospitalization due to unstable angina or heart failure.
Results:
A total of 2009 patients were included, 1048 patients (52.2%) had established EAD, and 961 patients (47.8%) had multiple risk factors (MRF). ECG abnormalities included atrial fibrillation (6.7%), premature ventricular contraction (5.4%), pathological Q-wave (Q/QS) (21.3%), T-wave inversion (20.0%), intraventricular ventricular conduction delay (IVCD) (7.3%), left ventricular hypertrophy (LVH) (12.2%), and AV block (12.5%). MACE occurred in 88 patients (4.4%). Independent predictors of MACE were chronic kidney disease, EAD, and the presence of atrial fibrillation, Q/QS, IVCD or LVH by ECG.
Conclusions:
A high prevalence of ECG abnormalities was found. The prevalence of ECG abnormalities was high even among those with risk factors without documented cardiovascular disease.
More Related Videos
18:11A Research Method For Detecting Transient Myocardial Ischemia In Patients With Suspected Acute Coronary Syndrome Using Continuous ST-segment Analysis
Published on: December 28, 2012
10:17Real-Time Cardiac Mapping with a Noninvasive Imageless Electrocardiographic Imaging System
Published on: April 11, 2025
Related Concept Videos
Electrocardiogram
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and...
Hypertension III: Clinical Manifestations and Diagnostic Studies
Acute Coronary Syndrome III: Diagnostic Studies
Dysrhythmias V: Evaluating Dysrhythmias
Electrocardiogram Fundamentals
An electrocardiogram (ECG) is a diagnostic tool for identifying cardiac conditions such as arrhythmias, conduction abnormalities, and myocardial ischemia.
Definition
An electrocardiogram (ECG) visualizes the heart's electrical activity by tracing the electrical movement associated with each heartbeat on a graph or monitor. As the heart beats, an electrical wave passes through it, correlating with the cardiac cycle events.
Parts of an ECG
An ECG utilizes electrodes on the skin...
Pulse rhythm
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...