Literature DB >> 29754992

The utility of routine clinical 12-lead ECG in assessing eligibility for subcutaneous implantable cardioverter defibrillator.

Jason A Thomas1, Erick Andres Perez-Alday1, Christopher Hamilton1, Muammar M Kabir1, Eugene A Park1, Larisa G Tereshchenko2.   

Abstract

INTRODUCTION: The subcutaneous implantable cardioverter-defibrillator (S-ICD) is a life-saving device. Recording of a specialized 3-lead electrocardiogram (ECG) is required for S-ICD eligibility assessment. The goals of this study were: (1) evaluate the effect of ECG filtering on S-ICD eligibility, and (2) simplify S-ICD eligibility assessment by development of an S-ICD ineligibility prediction tool, which utilizes the widely available routine 12-lead ECG. METHODS AND
RESULTS: Prospective cross-sectional study participants [n = 68; 54% male; 94% white, with wide ranges of age (18-81 y), body mass index (19-53), QRS duration (66-150 ms), and left ventricular ejection fraction (37-77%)] underwent 12-lead supine, 3-lead supine and standing ECG recording. All 3-lead ECG recordings were assessed using the standard S-ICD pre-implantation ECG morphology screening. Backward, stepwise, logistic regression was used to build a model for 12-lead prediction of S-ICD eligibility. Select electrocardiogram waves and complexes: QRS, R-, S, and T-amplitudes on all 12 leads, averaged QT interval, QRS duration, and R/T ratio in the lead with the largest T wave (R/Tmax) were included as predictors. The effect of ECG filtering on ECG morphology was evaluated. A total of 9 participants (13%) failed S-ICD screening prior to filtering. Filtering at 3-40 Hz, similar to the S-ICD default, reduced S-ICD ineligibility to 4%. A regression model that included RII, SII-aVL, TI, II, aVL, aVF, V3-V6, and R/Tmax perfectly predicted S-ICD eligibility, with an Area Under the Receiver Operating Characteristic Curve of 1.0.
CONCLUSION: Routine clinical 12-lead ECG can be used to predict S-ICD eligibility. ECG filtering may improve S-ICD eligibility.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Electrocardiogram; Eligibility; Subcutaneous ICD

Mesh:

Year:  2018        PMID: 29754992      PMCID: PMC6218287          DOI: 10.1016/j.compbiomed.2018.05.002

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  20 in total

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7.  Implant and Midterm Outcomes of the Subcutaneous Implantable Cardioverter-Defibrillator Registry: The EFFORTLESS Study.

Authors:  Lucas Boersma; Craig Barr; Reinoud Knops; Dominic Theuns; Lars Eckardt; Petr Neuzil; Marcoen Scholten; Margaret Hood; Juergen Kuschyk; Paul Jones; Elizabeth Duffy; Michael Husby; Kenneth Stein; Pier D Lambiase
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Authors:  Louise R A Olde Nordkamp; Joppe L F Warnaars; Kirsten M Kooiman; Joris R de Groot; Boudewijn R A M Rosenmöller; Arthur A M Wilde; Reinoud E Knops
Journal:  J Cardiovasc Electrophysiol       Date:  2014-01-07

9.  Oversensing of an unexpected atrial flutter. A new tool to improve detection of supraventricular arrhythmias in subcutaneous implantable cardioverter-defibrillators.

Authors:  Luca Santini; Augusto Pappalardo; Valentina Schirripa; Nicola Danisi; Giovanni B Forleo; Fabrizio Ammirati
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10.  Oversensing of atrial fibrillatory waves in a subcutaneous implantable cardioverter-defibrillator.

Authors:  Ankur A Karnik; Robert H Helm; Kevin M Monahan
Journal:  HeartRhythm Case Rep       Date:  2017-02-01
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