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Arrhythmic risk stratification after myocardial infarction using ambulatory electrocardiography signal averaging
Frédéric Roche1, Antoine DaCosta, Ibrahim Karnib
1Service d'Exploration Fonctionnelle CardioRespiratoire Laboratoire de Physiologie GIP-Exercise, CHU Nord, Faculté de Médecine Jacques Lisfranc, Université Jean Monnet, Saint-Etienne, France. Frederic.Roche@univ-st-etienne.fr
Insights
Ambulatory high-resolution signal-averaged electrocardiogram (SAECG) effectively predicts serious arrhythmic events in postinfarction patients. This non-invasive technique provides valuable prognostic information for arrhythmic risk stratification.
Area of Science:
- Cardiology
- Electrophysiology
- Medical Diagnostics
Background:
- Ambulatory electrocardiogram (ECG) monitoring is crucial for assessing cardiac rhythm.
- High-resolution signal-averaged electrocardiogram (SAECG) offers detailed ECG analysis.
- Clinical validation is needed to confirm SAECG's predictive capability in arrhythmic risk stratification.
Purpose of the Study:
- To evaluate the prognostic value of ambulatory Holter SAECG in postinfarction patients.
- To compare the predictive accuracy of ambulatory SAECG with classical real-time SAECG for serious arrhythmic events.
- To identify key SAECG parameters for predicting adverse arrhythmic outcomes.
Main Methods:
- A cohort of 108 postinfarction patients underwent ambulatory Holter SAECG monitoring.
- Patients were followed for an average of 42 months to record serious arrhythmic events (SARR), including sudden cardiac death (SCD), ventricular tachycardia (VT), and ventricular fibrillation (VF).
- Receiver operating characteristic (ROC) curve analysis and log-rank tests were used to assess the predictive value of SAECG parameters like QRS duration (QRSd), root-mean-square (RMS), and latency (LAS).
Main Results:
- During follow-up, the incidence of SCD was 4.6%, VT was 5.6%, and VF was 0.9%.
- QRSd emerged as the most significant predictor of SARR+ events, followed by RMS and LAS (P < 0.01).
- Abnormal Holter SAECG findings, particularly with 25 and 40-Hz low-pass filters, were significant predictors of SARR+ events (P < 0.01, P < 0.05).
Conclusions:
- Ambulatory high-resolution SAECG provides valuable prognostic information in postinfarction patients.
- Holter SAECG is a reliable method for predicting arrhythmic risk in this population.
- This technique enhances risk stratification for serious arrhythmic events post-myocardial infarction.
Abstract:
Ambulatory ECG had been proposed to examine the amplified high resolution signal-averaged electrocardiogram (SAECG). Clinical investigations are required to confirm the predictive value of such a high resolution technique in arrhythmic risk stratification. The prognostic value of ambulatory Holter SAECG was evaluated in 108 postinfarction patients for the purpose of predicting the occurrence of serious arrhythmic (SARR) events (sudden cardiac death [SCD], VT, or VF) in comparison with classical real-time SAECG. During the 42+/-8 months of follow-up, the sudden cardiac death mortality was 4.6% (five deaths), six (5.6%) patients had VT, and one (0.9%) VF. QRSd was found to be the most predictive parameter using ROC curves analysis for SAAR + outcome (W = 0.833 and W = 0.803 for 25-250 Hz and 40-250 Hz filters, respectively) followed by RMS (W = 0.766 and W = 0.721) and LAS (W = 0.759, W = 0.709) (all P < 0.01). Abnormal Holter SAECG for 25 and 40-Hz LP filter were significant predictors of SARR+ by log-rank test (P < 0.01, P < 0.05, respectively). This study confirms that valuable prognostic information can be obtained from the ambulatory high resolution ECG technique and that Holter SAECG may predict arrhythmic risk in a postinfarction population.