Combined evaluation of ambulatory-based late potentials and nonsustained ventricular tachycardia to predict arrhythmic events in patients with previous myocardial infarction: A Japanese noninvasive electrocardiographic risk stratification of sudden cardiac death (JANIES) substudy.

ABSTRACT:

Background

Noninvasive electrocardiographic (ECG) markers are promising arrhythmic risk stratification tools for identifying sudden cardiac death. However, little is known about the usefulness of noninvasive ECG markers derived from ambulatory ECGs (AECG) in patients with previous myocardial infarction (pMI). We aimed to determine whether the ECG markers derived from AECG can predict serious cardiac events in patients with pMI.

Methods

We prospectively analyzed 104 patients with pMI (88 males, age 66 ± 11 years), evaluating late potentials (LPs), heart rate turbulence, and nonsustained ventricular tachycardia (NSVT) derived from AECG. The primary endpoint was the documentation of ventricular fibrillation or sustained ventricular tachycardia.

Results

Eleven patients reached the primary endpoint during a follow-up period of 25 ± 9.5 months. Of the 104 patients enrolled in this study, LP positive in worst values (w-LPs) and NSVT were observed in 25 patients, respectively. In the arrhythmic event group, the worst LP values and/or NSVT were found in eight patients (7.6%). The positive predictive and negative predictive values of the combined assessment with w-LPs and NSVT were 56% and 94%, respectively, for predicting ventricular lethal arrhythmia. Kaplan-Meier analysis demonstrated that the combination of w-LPs and NSVT had a poorer event-free period than negative LPs (p < .0001). In the multivariate analysis, the combined assessment of w-LPs and NSVT was a significant predictor of arrhythmic events (hazard ratio = 14.1, 95% confidence intervals: 3.4-58.9, p < .0001).

Conclusion

Combined evaluation of w-LPs and NSVT was a powerful risk stratification strategy for predicting arrhythmia that can lead to sudden cardiac death in patients with pMI.

SUBMITTER: Hashimoto K 

PROVIDER: S-EPMC7816808 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature