Literature DB >> 31474497

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

Toshio Kinoshita1, Kenichi Hashimoto2, Koichiro Yoshioka3, Yosuke Miwa4, Kenji Yodogawa5, Eiichi Watanabe6, Kohki Nakamura7, Mikiko Nakagawa8, Kentaro Nakamura9, Tetsu Watanabe10, Satoru Yusu11, Motomi Tachibana12, Shiro Nakahara13, Koichi Mizumaki14, Takanori Ikeda15.   

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.
Copyright © 2019 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Entities:  

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

Mesh:

Year:  2019        PMID: 31474497     DOI: 10.1016/j.jjcc.2019.07.012

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  8 in total

Review 1.  Contributions of the heart rate turbulence method to risk stratification in patients after myocardial infarction: a review.

Authors:  Rafael Alessandro Ferreira Gomes; Michel Pompeu Barros de Oliveira Sá; Dario Celestino Sobral Filho
Journal:  Am J Cardiovasc Dis       Date:  2022-02-15

2.  Resting Heartbeat Complexity Predicts All-Cause and Cardiorespiratory Mortality in Middle- to Older-Aged Adults From the UK Biobank.

Authors:  Lei Gao; Arlen Gaba; Longchang Cui; Hui-Wen Yang; Richa Saxena; Frank A J L Scheer; Oluwaseun Akeju; Martin K Rutter; Men-Tzung Lo; Kun Hu; Peng Li
Journal:  J Am Heart Assoc       Date:  2021-01-19       Impact factor: 5.501

3.  Detection of cardiac involvement in pulmonary sarcoidosis using high-resolution Holter electrocardiogram.

Authors:  Yujin Maru; Kenji Yodogawa; Toru Tanaka; Takeru Kashiwada; Yu-Ki Iwasaki; Arata Azuma; Wataru Shimizu
Journal:  J Arrhythm       Date:  2021-01-12

4.  ECG T-Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low- and Moderate-Risk Populations.

Authors:  Julia Ramírez; Antti Kiviniemi; Stefan van Duijvenboden; Andrew Tinker; Pier D Lambiase; Juhani Junttila; Juha S Perkiömäki; Heikki V Huikuri; Michele Orini; Patricia B Munroe
Journal:  J Am Heart Assoc       Date:  2022-08-29       Impact factor: 6.106

5.  Cardiovascular Mortality Can Be Predicted by Heart Rate Turbulence in Hemodialysis Patients.

Authors:  Matthias C Braunisch; Christopher C Mayer; Axel Bauer; Georg Lorenz; Bernhard Haller; Konstantinos D Rizas; Stefan Hagmair; Lukas von Stülpnagel; Wolfgang Hamm; Roman Günthner; Susanne Angermann; Julia Matschkal; Stephan Kemmner; Anna-Lena Hasenau; Isabel Zöllinger; Dominik Steubl; Johannes F Mann; Thomas Lehnert; Julia Scherf; Jürgen R Braun; Philipp Moog; Claudius Küchle; Lutz Renders; Marek Malik; Georg Schmidt; Siegfried Wassertheurer; Uwe Heemann; Christoph Schmaderer
Journal:  Front Physiol       Date:  2020-02-11       Impact factor: 4.566

6.  Arrhythmic risk stratification in heart failure mid-range ejection fraction patients with a non-invasive guiding to programmed ventricular stimulation two-step approach.

Authors:  Petros Arsenos; Konstantinos A Gatzoulis; Ioannis Doundoulakis; Polychronis Dilaveris; Christos-Konstantinos Antoniou; Soulaidopoulos Stergios; Skevos Sideris; Sotiropoulos Ilias; Dimitrios Tousoulis
Journal:  J Arrhythm       Date:  2020-08-02

7.  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.

Authors:  Kenichi Hashimoto; Mari Amino; Koichiro Yoshioka; Yuji Kasamaki; Toshio Kinoshita; Takanori Ikeda
Journal:  Ann Noninvasive Electrocardiol       Date:  2020-09-24       Impact factor: 1.468

8.  Ambulatory electrocardiographic markers predict serious cardiac events in patients with chronic kidney disease: The Japanese Noninvasive Electrocardiographic Risk Stratification of Sudden Cardiac Death in Chronic Kidney Disease (JANIES-CKD) study.

Authors:  Kenichi Hashimoto; Toshio Kinoshita; Yosuke Miwa; Mari Amino; Koichiro Yoshioka; Kenji Yodogawa; Mikiko Nakagawa; Kohki Nakamura; Eiichi Watanabe; Kentaro Nakamura; Tetsu Watanabe; Yuji Kasamaki; Takanori Ikeda
Journal:  Ann Noninvasive Electrocardiol       Date:  2021-12-06       Impact factor: 1.468

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.