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QRS micro-fragmentation as a mortality predictor
File | Description | Size | Format | ||
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ehac085.pdf | Published version | 2.81 MB | Adobe PDF | View/Open | |
Supplement.PDF | Supplementary information | 4.04 MB | Adobe PDF | View/Open | |
Title: | QRS micro-fragmentation as a mortality predictor |
Authors: | Hnatkova, K Andršová, I Novotný, T Britton, A Shipley, M Vandenberk, B Sprenkeler, DJ Junttila, J Reichlin, T Schlögl, S Vos, MA Friede, T Bauer, A Huikuri, HV Willems, R Schmidt, G Franz, MR Sticherling, C Zabel, M Malik, M |
Item Type: | Journal Article |
Abstract: | Aims: Fragmented QRS complex with visible notching on standard 12-lead electrocardiogram (ECG) is understood to represent depolarization abnormalities and to signify risk of cardiac events. Depolarization abnormalities with similar prognostic implications likely exist beyond visual recognition but no technology is presently suitable for quantification of such invisible ECG abnormalities. We present such a technology. Methods and results: A signal processing method projects all ECG leads of the QRS complex into optimized three perpendicular dimensions, reconstructs the ECG back from this three-dimensional projection, and quantifies the difference (QRS ‘micro’-fragmentation, QRS-μf) between the original and reconstructed signals. QRS ‘micro’-fragmentation was assessed in three different populations: cardiac patients with automatic implantable cardioverter-defibrillators, cardiac patients with severe abnormalities, and general public. The predictive value of QRS-μf for mortality was investigated both univariably and in multivariable comparisons with other risk factors including visible QRS ‘macro’-fragmentation, QRS-Mf. The analysis was made in a total of 7779 subjects of whom 504 have not survived the first 5 years of follow-up. In all three populations, QRS-μf was strongly predictive of survival (P < 0.001 univariably, and P < 0.001 to P = 0.024 in multivariable regression analyses). A similar strong association with outcome was found when dichotomizing QRS-μf prospectively at 3.5%. When QRS-μf was used in multivariable analyses, QRS-Mf and QRS duration lost their predictive value. Conclusion: In three populations with different clinical characteristics, QRS-μf was a powerful mortality risk factor independent of several previously established risk indices. Electrophysiologic abnormalities that contribute to increased QRS-μf values are likely responsible for the predictive power of visible QRS-Mf. Key question - The cardiac risk associated with visually diagnosed QRS fragmentation suggests that important QRS abnormalities might exist below the resolution of visual detection. Nevertheless, at present, little possibility exists to detect ‘invisible’ abnormalities of myocardial depolarization. Key finding - QRS ‘micro-fragmentation’, QRS-μf analysis quantifies ‘invisible’ abnormalities of myocardial depolarization. It was found to independently predict death in three different populations of a total of 7779 subjects of whom 504 have not survived the first 5 years of follow-up. Take-home message - QRS-μf is a strong predictor of worsened survival. It can be assessed in standard short-term 12-lead electrocardiograms. |
Issue Date: | 21-Oct-2022 |
Date of Acceptance: | 2-Feb-2022 |
URI: | http://hdl.handle.net/10044/1/95073 |
DOI: | 10.1093/eurheartj/ehac085 |
ISSN: | 0195-668X |
Publisher: | European Society of Cardiology |
Start Page: | 4177 |
End Page: | 4191 |
Journal / Book Title: | European Heart Journal |
Volume: | 43 |
Issue: | 40 |
Copyright Statement: | © The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
Sponsor/Funder: | British Heart Foundation |
Funder's Grant Number: | NH/16/2/32499 |
Keywords: | Science & Technology Life Sciences & Biomedicine Cardiac & Cardiovascular Systems Cardiovascular System & Cardiology Electrocardiogram QRS complex Fragmentation Mortality prediction SIGNAL-AVERAGED ELECTROCARDIOGRAM SPECTRAL TURBULENCE ANALYSIS T-WAVE MORPHOLOGY POSTINFARCTION PATIENTS RISK STRATIFICATION TIME-DOMAIN DURATION OUTCOMES COMPLEX EVENTS Electrocardiogram Fragmentation Mortality prediction QRS complex Humans Electrocardiography Risk Factors Prognosis Predictive Value of Tests Humans Electrocardiography Prognosis Risk Factors Predictive Value of Tests Cardiovascular System & Hematology 1102 Cardiorespiratory Medicine and Haematology 1103 Clinical Sciences |
Publication Status: | Published |
Online Publication Date: | 2022-02-21 |
Appears in Collections: | National Heart and Lung Institute Faculty of Medicine |
This item is licensed under a Creative Commons License