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• W2008760176 abstract "<h2>Abstract</h2> The aim of this study was to extract and combine non-invasive risk parameters from the signal-averaged electrocardiogram (SAECG) and heart rate variability (HRV) based on 24-hour ambulatory electrocardiography to optimize the prognostic value for arrhythmic events after acute myocardial infarction. A prospective series of 553 men <66 years of age enrolled in the Post-Infarction Late Potential study were analyzed. Within 2 to 4 weeks after acute myocardial infarction, all patients underwent SAECG and 24-hour ambulatory electrocardiography before hospital discharge. During 6 months of follow-up, 25 patients (4.5%) experienced arrhythmic events (sustained ventricular tachycardia, n=11; ventricular fibrillation, n=7; sudden cardiac death, n=7). The predictive power of SAECG and HRV parameters was assessed using a Cox proportional-hazards model. In HRV analysis, the most significant differences between patients with and without arrhythmic events were observed for the beat-to-beat parameter root-mean-square of successive RR differences [RMSSD]): 25.7 ± 16.9 ms in patients with arrhythmic events versus 34.1 ± 18.6 ms in patients free of arrhythmic events (p = 0.004). Time domain analysis of the SAECG showed the QRS duration to be most significantly different in both patient groups: 106.4 ± 18.7 ms (arrhythmic events) versus 95.3 ± 18.7 ms (no arrhythmic events) (p = 0.001). Based on the Cox regression model, RMSSD and QRS duration were demonstrated to be independent significant risk factors (regression coefficient for QRS duration: <i>c</i>_q = 0.014 ± 0.006 ms⁻¹, p=0.014; for RMSSD: <i>c</i>_r = −0.041 ± 0.016 ms⁻¹, p=0.009). Based on the regression coefficients, an analytic risk model was developed describing the arrhythmic risk as a function of QRS duration, RMSSD, and time after infarction. We conclude that the combination of beat-to-beat changes of heart rate measured by RMSSD and QRS duration from the SAECG enhances noninvasive risk stratification after myocardial infarction. (Am J Cardiol 1996;78:627–632)" @default.
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• W2008760176 title "Noninvasive Risk Modeling After Myocardial Infarction * *This study was supported in part by Deutsche Forschungsgemeinschaft (DFG), Förderkennzeichen Br 759/2–2, Bonn; Bundesministerium für Forschung und Technologie (BMFT), Förderkennzeichen HKP314, Bonn; Deutscher Akademischer Austauschdienst (DAAD), Bonn, Germany; Academy of Finland (SA), Helsinki, Finland; European Union Human Capital and Mobility Programme (BIRCH-European Large Scale Facility in Biomagnetic Research at Helsinki University …" @default.
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• W2008760176 doi "https://doi.org/10.1016/s0002-9149(96)00383-9" @default.
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