HNATKOVA, Katerina, Irena ANDRŠOVÁ, Tomáš NOVOTNÝ, Annie BRITTON, Martin SHIPLEY, Bert VANDENBERK, David J SPRENKELER, Juhani JUNTTILA, Tobias REICHLIN, Simon SCHLOEGL, Marc A VOS, Tim FRIEDE, Axel BAUER, Heikki V HUIKURI, Rik WILLEMS, Georg SCHMIDT, Michael R FRANZ, Christian STICHERLING, Markus ZABEL and Marek MALÍK. QRS micro-fragmentation as a mortality predictor. European heart journal. Oxford: Oxford University Press, 2022, vol. 43, No 40, p. 4177-4191. ISSN 0195-668X. Available from: https://dx.doi.org/10.1093/eurheartj/ehac085.
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Basic information
Original name QRS micro-fragmentation as a mortality predictor
Authors HNATKOVA, Katerina (203 Czech Republic), Irena ANDRŠOVÁ (203 Czech Republic, belonging to the institution), Tomáš NOVOTNÝ (203 Czech Republic, belonging to the institution), Annie BRITTON, Martin SHIPLEY, Bert VANDENBERK, David J SPRENKELER, Juhani JUNTTILA, Tobias REICHLIN, Simon SCHLOEGL, Marc A VOS, Tim FRIEDE, Axel BAUER, Heikki V HUIKURI, Rik WILLEMS, Georg SCHMIDT, Michael R FRANZ, Christian STICHERLING, Markus ZABEL and Marek MALÍK (203 Czech Republic, guarantor, belonging to the institution).
Edition European heart journal, Oxford, Oxford University Press, 2022, 0195-668X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30201 Cardiac and Cardiovascular systems
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 39.300
RIV identification code RIV/00216224:14110/22:00127066
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1093/eurheartj/ehac085
UT WoS 000758231400001
Keywords in English Electrocardiogram; QRS complex; Fragmentation; Mortality prediction
Tags 14110211, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 1/11/2022 14:08.
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-mu f) 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-mu f 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-mu f 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-mu f prospectively at 3.5%. When QRS-mu f was used in multivariable analyses, QRS-Mf and QRS duration lost their predictive value. Conclusion In three populations with different clinical characteristics, QRS-mu f was a powerful mortality risk factor independent of several previously established risk indices. Electrophysiologic abnormalities that contribute to increased QRS-mu f 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- 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-mu f is a strong predictor of worsened survival. It can be assessed in standard short-term 12-lead electrocardiograms.
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