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Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex

BACKGROUND: A novel metric called Layered Symbolic Decomposition frequency (LSDf) has been shown to be an independent predictor of ventricular arrhythmia and mortality in patients receiving implantable cardioverter‐defibrillator (ICD) devices. This novel index studies the fragmentation of the QRS co...

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Autores principales: Hua, Thalia, Vlahos, Alexandra, Shariat, Mohammad Hassan, Payne, Darrin, Redfearn, Damian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293601/
https://www.ncbi.nlm.nih.gov/pubmed/33754404
http://dx.doi.org/10.1111/anec.12822
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author Hua, Thalia
Vlahos, Alexandra
Shariat, Mohammad Hassan
Payne, Darrin
Redfearn, Damian
author_facet Hua, Thalia
Vlahos, Alexandra
Shariat, Mohammad Hassan
Payne, Darrin
Redfearn, Damian
author_sort Hua, Thalia
collection PubMed
description BACKGROUND: A novel metric called Layered Symbolic Decomposition frequency (LSDf) has been shown to be an independent predictor of ventricular arrhythmia and mortality in patients receiving implantable cardioverter‐defibrillator (ICD) devices. This novel index studies the fragmentation of the QRS complex. However, its generalizability to predict cardiovascular events for other cardiac procedures is unknown. Herein, we investigated the applicability of LSDf as a predictive measure for major adverse cardiovascular events (MACE) in patients receiving coronary artery bypass grafting (CABG). METHODS AND RESULTS: One hundred ninety‐five patients had high‐resolution ECG recorded prior to CABG surgery in 2012/2013 and were followed for a mean duration of 7.32 ± 0.32 years for postoperative cardiovascular outcomes. These outcomes were described as a modified composite of MACE defined as hospitalization for heart failure, ventricular tachycardia, ventricular fibrillation, and cardiovascular death including stroke and cardiac arrest. One hundred seventy‐two patients were included for analysis and 18 patients experienced a postoperative cardiovascular outcome. These patients had significantly increased age (71.3 vs. 64.6 years, p = .007), prolonged QRS duration (113.22 vs. 97.35 ms, p = .003), reduced left ventricular ejection fraction (42.7% vs. 56.5%, p < .001), and lower LSDf percent (13.5% vs. 16.9%, p = .002). Patients with an LSDf below 13.25% were 4.8 (OR 1.7–13.5, p < .001) times more likely to experience a MACE and up to 19.4 (OR 4.2–90.3, p < .001) times more likely to experience a MACE when older than 70 years and an ejection fraction below 50%. CONCLUSION: Layered Symbolic Decomposition frequency may be an applicable metric to predict long‐term cardiovascular outcomes in patients with ischemic heart disease.
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spelling pubmed-82936012021-07-22 Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex Hua, Thalia Vlahos, Alexandra Shariat, Mohammad Hassan Payne, Darrin Redfearn, Damian Ann Noninvasive Electrocardiol New Technologies BACKGROUND: A novel metric called Layered Symbolic Decomposition frequency (LSDf) has been shown to be an independent predictor of ventricular arrhythmia and mortality in patients receiving implantable cardioverter‐defibrillator (ICD) devices. This novel index studies the fragmentation of the QRS complex. However, its generalizability to predict cardiovascular events for other cardiac procedures is unknown. Herein, we investigated the applicability of LSDf as a predictive measure for major adverse cardiovascular events (MACE) in patients receiving coronary artery bypass grafting (CABG). METHODS AND RESULTS: One hundred ninety‐five patients had high‐resolution ECG recorded prior to CABG surgery in 2012/2013 and were followed for a mean duration of 7.32 ± 0.32 years for postoperative cardiovascular outcomes. These outcomes were described as a modified composite of MACE defined as hospitalization for heart failure, ventricular tachycardia, ventricular fibrillation, and cardiovascular death including stroke and cardiac arrest. One hundred seventy‐two patients were included for analysis and 18 patients experienced a postoperative cardiovascular outcome. These patients had significantly increased age (71.3 vs. 64.6 years, p = .007), prolonged QRS duration (113.22 vs. 97.35 ms, p = .003), reduced left ventricular ejection fraction (42.7% vs. 56.5%, p < .001), and lower LSDf percent (13.5% vs. 16.9%, p = .002). Patients with an LSDf below 13.25% were 4.8 (OR 1.7–13.5, p < .001) times more likely to experience a MACE and up to 19.4 (OR 4.2–90.3, p < .001) times more likely to experience a MACE when older than 70 years and an ejection fraction below 50%. CONCLUSION: Layered Symbolic Decomposition frequency may be an applicable metric to predict long‐term cardiovascular outcomes in patients with ischemic heart disease. John Wiley and Sons Inc. 2021-03-22 /pmc/articles/PMC8293601/ /pubmed/33754404 http://dx.doi.org/10.1111/anec.12822 Text en © 2021 The Authors. Annals of Noninvasive Electrocardiology published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle New Technologies
Hua, Thalia
Vlahos, Alexandra
Shariat, Mohammad Hassan
Payne, Darrin
Redfearn, Damian
Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex
title Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex
title_full Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex
title_fullStr Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex
title_full_unstemmed Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex
title_short Predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ECG frequency analysis of the QRS complex
title_sort predicting adverse cardiovascular outcomes in post‐coronary artery bypass grafting patients using novel ecg frequency analysis of the qrs complex
topic New Technologies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8293601/
https://www.ncbi.nlm.nih.gov/pubmed/33754404
http://dx.doi.org/10.1111/anec.12822
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