Predicting arrhythmic events after acute myocardial infarction using the signal-averaged electrocardiogram

To determine if the signal-averaged (SA) electrocardiogram (ECG) predicts the occurrence of sustained ventricular arrhythmia and sudden death after acute myocardial infarction, 182 consecutive patients underwent systematic noninvasive testing, Including the SAECG. Seventy-one patients (39%) had an a...

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Published in:The American journal of cardiology Vol. 69; no. 1; pp. 13 - 21
Main Authors: Steinberg, Jonathan S., Regan, Arlene, Sciacca, Robert R., Bigger, J.Thomas, Fleiss, Joseph L.
Format: Journal Article
Language:English
Published: New York, NY Elsevier Inc 1992
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Abstract To determine if the signal-averaged (SA) electrocardiogram (ECG) predicts the occurrence of sustained ventricular arrhythmia and sudden death after acute myocardial infarction, 182 consecutive patients underwent systematic noninvasive testing, Including the SAECG. Seventy-one patients (39%) had an abnormal SAECG. The presence of an abnormal SAECG was not related to underlying left ventricular dysfunction or any other clinical or measured variable. There were 16 end points (sustained ventricular arrhythmia or sudden cardiac death) during 14-month follow-up. The SAECG was a significant predictor of these events (p < 0.02), and an abnormal SAECG conferred a 2.7-fold increase in risk. The risk associated with an abnormal SAECG was independent of both left ventricular function and ventricular arrhythmia on Hotter ECG. The SAECG had excellent negative predictive accuracy (95%), but the positive predictive accuracy was low (15%). When the results of the SAECG were combined with the results of the Holter ECG, a group of very high-risk patients was identified; at 18 months, the presence of abnormal SAECG and Holter ECG was associated with a risk of 26% compared with only 4% if both tests were normal. Furthermore, all published studies with a similar design were pooled for meta-analysis. The meta-analysis revealed a sixfold increase in risk, independent of left ventricular function, and an eightfold increase in risk, independent of Holter results when the SAECG was abnormal. The SAECG is a noninvasive test that can rapidly and easily provide potent prognostic information regarding the risk of sustained ventricular arrhythmias for patients after myocardial infarction.
AbstractList To determine if the signal-averaged (SA) electrocardiogram (ECG) predicts the occurrence of sustained ventricular arrhythmia and sudden death after acute myocardial infarction, 182 consecutive patients underwent systematic noninvasive testing, Including the SAECG. Seventy-one patients (39%) had an abnormal SAECG. The presence of an abnormal SAECG was not related to underlying left ventricular dysfunction or any other clinical or measured variable. There were 16 end points (sustained ventricular arrhythmia or sudden cardiac death) during 14-month follow-up. The SAECG was a significant predictor of these events (p < 0.02), and an abnormal SAECG conferred a 2.7-fold increase in risk. The risk associated with an abnormal SAECG was independent of both left ventricular function and ventricular arrhythmia on Hotter ECG. The SAECG had excellent negative predictive accuracy (95%), but the positive predictive accuracy was low (15%). When the results of the SAECG were combined with the results of the Holter ECG, a group of very high-risk patients was identified; at 18 months, the presence of abnormal SAECG and Holter ECG was associated with a risk of 26% compared with only 4% if both tests were normal. Furthermore, all published studies with a similar design were pooled for meta-analysis. The meta-analysis revealed a sixfold increase in risk, independent of left ventricular function, and an eightfold increase in risk, independent of Holter results when the SAECG was abnormal. The SAECG is a noninvasive test that can rapidly and easily provide potent prognostic information regarding the risk of sustained ventricular arrhythmias for patients after myocardial infarction.
To determine if the signal-averaged (SA) electrocardiogram (ECG) predicts the occurrence of sustained ventricular arrhythmia and sudden death after acute myocardial infarction, 182 consecutive patients underwent systematic noninvasive testing, including the SAECG. Seventy-one patients (39%) had an abnormal SAECG. The presence of an abnormal SAECG was not related to underlying left ventricular dysfunction or any other clinical or measured variable. There were 16 end points (sustained ventricular arrhythmia or sudden cardiac death) during 14-month follow-up. The SAECG was a significant predictor of these events (p less than 0.02), and an abnormal SAECG conferred a 2.7-fold increase in risk. The risk associated with an abnormal SAECG was independent of both left ventricular function and ventricular arrhythmia on Holter ECG. The SAECG had excellent negative predictive accuracy (95%), but the positive predictive accuracy was low (15%). When the results of the SAECG were combined with the results of the Holter ECG, a group of very high-risk patients was identified; at 18 months, the presence of abnormal SAECG and Holter ECG was associated with a risk of 26% compared with only 4% if both tests were normal. Furthermore, all published studies with a similar design were pooled for meta-analysis. The meta-analysis revealed a sixfold increase in risk, independent of left ventricular function, and an eightfold increase in risk, independent of Holter results when the SAECG was abnormal. The SAECG is a noninvasive test that can rapidly and easily provide potent prognostic information regarding the risk of sustained ventricular arrhythmias for patients after myocardial infarction.
Author Fleiss, Joseph L.
Sciacca, Robert R.
Bigger, J.Thomas
Steinberg, Jonathan S.
Regan, Arlene
Author_xml – sequence: 1
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– sequence: 2
  givenname: Arlene
  surname: Regan
  fullname: Regan, Arlene
  organization: From the Division of Cardiology, Department of Medicine, College of Physicians & Surgeons of Columbia University, New York, New York, USA
– sequence: 3
  givenname: Robert R.
  surname: Sciacca
  fullname: Sciacca, Robert R.
  organization: From the Division of Cardiology, Department of Medicine, College of Physicians & Surgeons of Columbia University, New York, New York, USA
– sequence: 4
  givenname: J.Thomas
  surname: Bigger
  fullname: Bigger, J.Thomas
  organization: From the Division of Cardiology, Department of Medicine, College of Physicians & Surgeons of Columbia University, New York, New York, USA
– sequence: 5
  givenname: Joseph L.
  surname: Fleiss
  fullname: Fleiss, Joseph L.
  organization: From the Division of Cardiology, Department of Medicine, College of Physicians & Surgeons of Columbia University, New York, New York, USA
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Issue 1
Keywords Human
Prognosis
Arrhythmia
Infarct
Sudden death
Cardiovascular disease
Coronary heart disease
Electrodiagnosis
Follow up study
Electrocardiography
Myocardium
Complication
Paroxysmal ventricular tachycardia
Language English
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Elsevier
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Snippet To determine if the signal-averaged (SA) electrocardiogram (ECG) predicts the occurrence of sustained ventricular arrhythmia and sudden death after acute...
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SubjectTerms Aged
Arrhythmias, Cardiac - etiology
Arrhythmias, Cardiac - physiopathology
Biological and medical sciences
Cardiology. Vascular system
Coronary heart disease
Electrocardiography - methods
Follow-Up Studies
Heart
Heart Ventricles
Humans
Medical sciences
Meta-Analysis as Topic
Middle Aged
Myocardial Infarction - complications
Myocardial Infarction - physiopathology
Predictive Value of Tests
Probability
Prognosis
Prospective Studies
Risk Factors
Signal Processing, Computer-Assisted
Tachycardia - etiology
Tachycardia - physiopathology
Ventricular Function, Left
Title Predicting arrhythmic events after acute myocardial infarction using the signal-averaged electrocardiogram
URI https://dx.doi.org/10.1016/0002-9149(92)90669-P
https://www.ncbi.nlm.nih.gov/pubmed/1530900
https://search.proquest.com/docview/72746992
Volume 69
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