Literature DB >> 23713754

Multipole analysis of heart rate variability as a predictor of imminent ventricular arrhythmias in ICD patients.

Guy Rozen1, Roi Kobo, Roy Beinart, Shlomo Feldman, Michal Sapunar, David Luria, Michael Eldar, Jacob Levitan, Michael Glikson.   

Abstract

BACKGROUND: Contemporary implantable cardiac defibrillators (ICD) enable storage of multiple, preepisode R-R recordings in patients who suffered from ventricular tachyarrhythmia (VTA). Timely prediction of VTA, using heart rate variability (HRV) analysis techniques, may facilitate the implementation of preventive and therapeutic strategies. AIM: To evaluate the novel multipole method of the HRV analysis in prediction of imminent VTAs in ICD patients.
METHODS: We screened patients from the Biotronik HAWAI Registry (Heart Rate Analysis with Automated ICDs). A total of 28 patients from the HAWAI registries (phase I and II), having medical records, who had experienced documented, verified VTA during the 2-year follow-up, were included in our analysis. HRV during preepisode recordings of 4,500 R-R intervals were analyzed using the Dyx parameter and compared to HRV of similar length recordings from the same patients that were not followed by arrhythmia.
RESULTS: Our study population consisted mainly of men 25 of 28 (89%), average age of 64.8 ± 9.4 years, 92% with coronary artery disease. HRV during 64 preevent recordings (2.3 events per patient on average) was analyzed and compared with 60 control recordings. The multipole method of HRV analysis showed 50% sensitivity and 91.6% specificity for prediction of ventricular tachycardia/ventricular fibrillation in the study population, with 84.5% positive predictive value. No statistically significant correlation was found between various clinical parameters and the sensitivity of imminent VTA predetection in our patients.
CONCLUSION: The multipole method of HRV analysis emerges as a highly specific, possible predictor of imminent VTA, providing an early warning allowing to prepare for an arrhythmic episode. ©2013, The Authors. Journal compilation ©2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  ICD; heart rate variability; ventricular arrhythmia

Mesh:

Year:  2013        PMID: 23713754     DOI: 10.1111/pace.12180

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  4 in total

1.  Alterations in heart rate variability are associated with abnormal myocardial perfusion.

Authors:  Anish S Shah; Rachel Lampert; Jack Goldberg; J Douglas Bremner; Lian Li; Marc D Thames; Viola Vaccarino; Amit J Shah
Journal:  Int J Cardiol       Date:  2020-01-28       Impact factor: 4.164

2.  ECG-based prediction algorithm for imminent malignant ventricular arrhythmias using decision tree.

Authors:  Satria Mandala; Tham Cai Di; Mohd Shahrizal Sunar
Journal:  PLoS One       Date:  2020-05-14       Impact factor: 3.240

3.  Potential effects of intrinsic heart pacemaker cell mechanisms on dysrhythmic cardiac action potential firing.

Authors:  Yael Yaniv; Kenta Tsutsui; Edward G Lakatta
Journal:  Front Physiol       Date:  2015-02-23       Impact factor: 4.566

Review 4.  ECG Parameters for Malignant Ventricular Arrhythmias: A Comprehensive Review.

Authors:  Satria Mandala; Tham Cai Di
Journal:  J Med Biol Eng       Date:  2017-06-28       Impact factor: 1.553

  4 in total

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