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Augmented Oscillations in QT Interval Duration Predict Mortality Post Myocardial Infarction Independent of Heart Rate

journal contribution
posted on 2024-11-02, 14:44 authored by Fatima El-Hamad, Safa Yaghinibonabi, Alexander Muller, Alexander Steger, Georg Schmidt, Mathias Baumert
Objective: This study seeks to decompose QT variability (QTV) into physiological sources and assess their role for risk stratification in patients post myocardial infarction (MI). We hypothesize that the magnitude of QTV that cannot be explained by heart rate or respiration carries important prognostic information. Background: Elevated beat-to-beat QTV is predictive of cardiac mortality, but the underlying mechanisms, and hence its interpretation, remain opaque. Methods: We decomposed the QTV of 895 patients post MI into contributions by heart rate, respiration, and unexplained sources. Results: Cox proportional hazard analysis demonstrates that augmented oscillations in QTV and their level of dissociation from heart rate are associated with a higher 5-year mortality rate (18.4% vs. 4.7%, p < 0.0001). In patients with left ventricular ejection fraction (LVEF) > 35%, a higher QTV risk score was associated with a significantly higher 5-year mortality rate (16% vs. 4%, p < 0.0001). In patients with a GRACE score ≥ 120, a higher QTV risk score was associated with a significantly higher 5-year mortality (25% vs. 11%, p < 0.001). Conclusion: Augmented oscillations in QTV and discordance from heart rate, possibly indicative of excessive sympathetic outflow to the ventricular myocardium, predict high risk in patients post MI independent from established risk markers. Clinical Trial Registration: www.ClinicalTrials.gov, identifier NCT00196274.

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  1. 1.
    DOI - Is published in 10.3389/fphys.2020.578173
  2. 2.
    ISSN - Is published in 1664042X

Journal

Frontiers in Physiology

Volume

11

Number

578173

Start page

1

End page

10

Total pages

10

Publisher

Frontiers Research Foundation

Place published

Switzerland

Language

English

Copyright

© 2020 El-Hamad, Bonabi, Müller, Steger, Schmidt and Baumert. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).

Former Identifier

2006104164

Esploro creation date

2021-04-21

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