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Prediction and stratification of the future cardiovascular arrhythmic events: signal averaged electrocardiography
Anil Kumar Pandey1, Asim Das, Ashish K Singwala
1Department of Physiology, G. S. L. Medical College & General Hospital, Rajahmundry. drpandeyak@yahoo.co.in
Insights
Sudden cardiac death is a major concern. Combining signal-averaged electrocardiography (SAECG) and ejection fraction (EF%) effectively predicts future cardiac arrhythmias, outperforming either test alone for risk stratification.
Area of Science:
- Cardiology
- Medical Technology
- Public Health
Background:
- Sudden cardiac death (SCD) due to arrhythmias is a significant public health issue.
- Identifying individuals at risk is crucial for effective treatment, such as implantable defibrillators.
- Noninvasive screening techniques are essential for risk stratification.
Purpose of the Study:
- To evaluate the predictive value of signal-averaged electrocardiography (SAECG) for future cardiovascular events, including life-threatening cardiac arrhythmias.
- To compare the predictive performance of SAECG with ejection fraction (EF%), another mechanical determinant of cardiac function.
- To assess the combined predictive power of SAECG and EF% in stratifying cardiovascular risk.
Main Methods:
- A study involving 152 patients (25-75 years) with cardiac diseases and 80 healthy controls was conducted.
- Signal-averaged electrocardiography (SAECG) and ejection fraction (EF%) were assessed.
- Patients were followed for 6 months to track cardiac arrhythmic events.
Main Results:
- SAECG demonstrated a higher negative predictive value (99.1%) for arrhythmias than EF% (93.6%).
- EF% had a higher positive predictive value (42.9%) compared to SAECG (28.9%).
- When used together, SAECG and EF% achieved high negative (100%) and positive (50%) predictive values for cardiac arrhythmic events.
Conclusions:
- SAECG and EF% together are accurate predictors of future cardiac arrhythmic events, superior to using either test alone.
- SAECG alone shows a stronger negative predictive value for arrhythmias than EF%.
- The combination of SAECG and EF% serves as a valuable investigational tool for stratifying future cardiovascular arrhythmic events.
Abstract:
Cardiac arrhythmias as cause of sudden cardiac death remains an important public health problem. The availability of effective treatment in terms of the implantable defibrillator makes it critical to identify individuals at risk. An essential step in this process is the use of noninvasive techniques to screen patients and identify those at risk. The detection of ventricular late potential using the SAECG as a non-invasive technique is being explored for this purpose. The objective of the study was to stratify the future cardiovascular events including life threatening cardiac arrhythmias, in different cardiac diseases through positive and negative predictive values of SAECG and comparing with EF% another mechanical determinant. The study was conducted on 152 subjects selected from the OPD and admitted case of the New Civil Hospital and Govt. Medical College, Surat; between 25 to 75 years of age group, from August 2001 to June 2004. 80 healthy subjects free from any major acute/chronic illness were selected as a control using our own normative values for SAECG. The statistical analysis was performed using SPSS package. The results obtained were analyzed for significance by using Chi square and Independent 't' test. When we compared the cardiac arrhythmic events on 6 month follow-up study, based on SAECG and EF% separately we found that negative predictive value of SAECG was more (99.1%) than negative predictive value of EF% (93.6%). However positive predictive values for cardiac arrhythmic events of SAECG were less (28.9%) compare to EF% (42.9%). When both the parameters SAECG and EF% are considered together the negative as well as positive predictive values of these tests were quite high (100% and 50% respectively). In this study conducted on 152 patients we found that SAECG and EF% together were an accurate predictor of the cardiac arrhythmic events in terms of positive and negative predictive value while SAECG or EF% alone were not. However SAECG has got a more negative predictive value compare to EF%. In this study SAECG compared favorably or even better than EF% for risk stratification. SAECG and EF% together (and not separately) may be considered as a better investigational tool to stratify future cardiovascular arrhythmic events.
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