Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: El-Hamad FJ 

PROVIDER: S-EPMC7680963 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

El-Hamad Fatima J FJ   Bonabi Safa Y SY   Müller Alexander A   Steger Alexander A   Schmidt Georg G   Baumert Mathias M  

Frontiers in physiology 20201109


<h4>Objective</h4>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.<h4>Background</h4>Elevated beat-to-beat QTV is predictive of cardiac mortality, but the underlying mechanisms, and hence its interpretation, remain opaque.<h4>Methods</h4>We de  ...[more]

Similar Datasets

| S-EPMC5342318 | biostudies-literature
| S-EPMC3344908 | biostudies-literature
| S-EPMC6785011 | biostudies-literature
| S-EPMC5114266 | biostudies-literature
| S-EPMC2701449 | biostudies-literature
| S-EPMC4748722 | biostudies-literature