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Observational Study
. 2020 Feb;75(2):155-163.
doi: 10.1016/j.jjcc.2019.07.012. Epub 2019 Aug 30.

Risk stratification for cardiac mortality using electrocardiographic markers based on 24-hour Holter recordings: the JANIES-SHD study

Toshio Kinoshita  1 , Kenichi Hashimoto  2 , Koichiro Yoshioka  3 , Yosuke Miwa  4 , Kenji Yodogawa  5 , Eiichi Watanabe  6 , Kohki Nakamura  7 , Mikiko Nakagawa  8 , Kentaro Nakamura  9 , Tetsu Watanabe  10 , Satoru Yusu  11 , Motomi Tachibana  12 , Shiro Nakahara  13 , Koichi Mizumaki  14 , Takanori Ikeda  15
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Free article
Observational Study

Risk stratification for cardiac mortality using electrocardiographic markers based on 24-hour Holter recordings: the JANIES-SHD study

Toshio Kinoshita et al. J Cardiol. 2020 Feb.
Free article

Abstract

Background: Recent guidelines have stated that left ventricular ejection fraction (LVEF) is the gold standard marker for identifying patients at risk for cardiac mortality. However, little information is present regarding electrocardiographic (ECG) markers. This study aimed to assess ECG markers for predicting mortality or serious arrhythmia in patients with structural heart disease (SHD).

Methods: In total, 1829 patients were enrolled into the Japanese Multicenter Observational Prospective Study (JANIES study). In this study, we analyzed data of 719 patients (569 men, age 64 ± 13 years) with SHD including mainly ischemic heart disease (65.8%). As ECG markers based on 24-hour Holter recordings, nonsustained ventricular tachycardia (NSVT), ventricular late potentials, and heart rate turbulence (HRT) were assessed. The primary endpoint was all-cause mortality, and the secondary endpoint was fatal arrhythmic events.

Results: During a mean follow-up of 21 ± 11 months, all-cause mortality was eventually observed in 39 patients (5.4%). Among those patients, 32 patients (82%) suffered from cardiac causes such as heart failure and arrhythmia. Multivariate Cox regression analysis showed that after adjustment for age and LVEF, documented NSVT [hazard ratio = 2.46, 95% confidence interval (CI): 1.16-5.18, p = 0.02] and abnormal HRT (hazard ratio = 2.40, 95% CI: 1.16-4.93, p = 0.02) were significantly associated with the primary endpoint. These two ECG markers also had significant predictive values with the secondary endpoint. The combined assessment of two ECG markers improved predictive accuracy.

Conclusion: This study demonstrated that combined assessment of documented NSVT and abnormal HRT based on 24-hour Holter ECG recordings are recommended for predicting future serious events in this population.

Keywords: Electrocardiographic marker; Heart rate turbulence; Nonsustained ventricular tachycardia; Risk stratification; Structural heart disease.

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