TY - JOUR
T1 - QRS micro-fragmentation as a mortality predictor
AU - Hnatkova, Katerina
AU - Andršová, Irena
AU - Novotný, Tomáš
AU - Britton, Annie
AU - Shipley, Martin
AU - Vandenberk, Bert
AU - Sprenkeler, David J
AU - Junttila, Juhani
AU - Reichlin, Tobias
AU - Schlögl, Simon
AU - Vos, Marc A
AU - Friede, Tim
AU - Bauer, Axel
AU - Huikuri, Heikki V
AU - Willems, Rik
AU - Schmidt, Georg
AU - Franz, Michael R
AU - Sticherling, Christian
AU - Zabel, Markus
AU - Malik, Marek
N1 - Funding Information:
The EU-CERT-ICD study was funded by the European Community’s 7th Framework Programme (HEALTH-F2-2009-602299). The ECG analyses were supported in part by British Heart Foundation (NH/ 16/2/32499).
Publisher Copyright:
© The Author(s) 2022. Published by Oxford University Press on behalf of European Society of Cardiology.
PY - 2022/10/21
Y1 - 2022/10/21
N2 - 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 A signal processing method projects all ECG leads of the QRS complex into optimized three perpendicular dimen- and results sions, 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.
AB - 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 A signal processing method projects all ECG leads of the QRS complex into optimized three perpendicular dimen- and results sions, 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.
KW - Electrocardiogram
KW - Fragmentation
KW - Mortality prediction
KW - QRS complex
UR - http://www.scopus.com/inward/record.url?scp=85138245396&partnerID=8YFLogxK
U2 - 10.1093/eurheartj/ehac085
DO - 10.1093/eurheartj/ehac085
M3 - Article
C2 - 35187560
SN - 0195-668X
VL - 43
SP - 4177
EP - 4191
JO - European heart journal
JF - European heart journal
IS - 40
ER -