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

El-Hamad, Fatima; Bonabi, Safa Yaghini; Müller, Alexander; Steger, Alexander; Schmidt, Georg; Baumert, Mathias

doi:10.3389/fphys.2020.578173

Cited by 5 publications

(4 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An increased QT variability has been observed in several cardiac, non-cardiac and metabolic diseases, such as coronary artery disease, hypertension, mental disorders and diabetes mellitus ( Baumert et al, 2016 ). An increased QT variability has also been associated to sudden cardiac death ( Maison-Blanche and Coumel, 1997 ; Singh et al, 1997 ) and adverse prognosis in patients after myocardial infarction ( El-Hamad et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Improvement of Sympathovagal Balance by Regular Exercise May Counteract the Ageing Process. A Study by the Analysis of QT Variability

et al. 2022

View full text Add to dashboard Cite

QT interval (QT) variability analysis provides pathophysiological and prognostic information utilized in cardiac and non-cardiac diseases, complementary to those obtained from the analysis of heart period (HP) variability. An increased QT variability has been associated to a higher risk for cardiac events and poorest prognosis. Autonomic cardiovascular adaptation to internal and external challenges, such those occurring in athletes exposed to high levels of physical stress and in ageing could also be deepen by analyzing QT variability, searching for early prognostic signatures. The aim of the study was to analyze the QT variability and cardiac control complexity in a group of middle-aged half-marathon runners at baseline (B) and at a 10-year follow-up (FU). We found that the overall QT variability decreased at FU, despite the inescapable increase in age (52.3 ± 8.0 years at FU). This change was accompanied by an increase of the HP variability complexity without changes of the QT variability complexity. Of notice, over the years, the group of athletes maintained their regular physical activity by switching to a moderate intensity rather than strenuous. In conclusion, regular and moderate exercise over the years was beneficial for this group of athletes, as reflected by the decreased overall QT variability that is known to be associated to lower cardiovascular risk. The concomitant enhanced cardiac control complexity also suggests a trend opposite to what usually occurs with ageing, resulting in a more flexible cardiac control, typical of younger people.

show abstract

Section: Introductionmentioning

confidence: 99%

Improvement of Sympathovagal Balance by Regular Exercise May Counteract the Ageing Process. A Study by the Analysis of QT Variability

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Guidelines currently suggest clinical and exercise capacity assessments in combination with invasive and non-invasive imaging for risk stratification [ [42] , [43] , [44] , [45] ]. Moreover, QT interval [ 46 ], T-wave morphology dispersion [ 47 ], early repolarization pattern [ 48 ], and total cosine R-to-T [ 49 ] have been found to predict sudden coronary death. However, the sensitivity and specificity for prediction are inadequate.…”

Section: Discussionmentioning

confidence: 99%

Characterization of global research trends and prospects on sudden coronary death: A literature visualization analysis

Luo¹,

Zhao²,

Chen³

et al. 2023

Heliyon

View full text Add to dashboard Cite

“…RR was modelled as an autoregressive process with respiration as an external input, while respiration was modelled as a separate autoregressive process. Further details of the mathematical models and their parameters are described elsewhere (Baselli et al 1997, EL-Hamad et al 2015, EL-Hamad et al 2020.…”

Section: Model-based Qtv Analysismentioning

confidence: 99%

Comparison of single-lead and multi-lead ECG for QT variability assessment using autoregressive modelling

El-Hamad

Baumert

2022

Physiol. Meas.

Self Cite

View full text Add to dashboard Cite

Objective: Beat-to-beat fluctuations in the QT interval – QT variability (QTV) – has been shown to vary amongst the different ECG leads. This study aims to compare the utility of single and multi-lead ECG to disentangle the mechanisms contributing to QTV. Approach: Twelve-lead ECG was analysed in 57 coronary artery disease patients before and after an elective percutaneous transluminal coronary angiography (PTCA) procedure. QT, RR and respiration time series were extracted. QTV was decomposed into contributions by heart rate, respiration and QTV independent of heart rate and respiration using parametric autoregressive modelling. Signal to noise ratio, model goodness of fit, mean QT, corrected QT, QT variability and RR variability were also computed. Results from two single leads (Lead II and V5) and three one-dimensional representations of 12-lead ECG (principal component analysis (PCA), vector magnitude (VM), and root mean square of the 8 independent leads of the standard 12 leads (RMS8) were compared during resting conditions, before and after PTCA and between patients with myocardial infarction and those without. Main results: At baseline, mean QT and corrected QT were significantly lower in VM and RMS8 compared to single leads. While overall QT variability was not different between the leads, QT independent of heart rate and respiration was significantly lower in VM and RMS8. Following PTCA, changes in these variables were similar in all leads. Differences between patients with MI and those without MI were consistent in all leads. Significance: Despite the differences in some QTV components amongst various leads, single-lead ECG could be sufficient for analyzing QTV in populations with pathological cardiovascular conditions compared to those without or for quantification of intervention effects.

show abstract

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

Cited by 5 publications

References 46 publications

Improvement of Sympathovagal Balance by Regular Exercise May Counteract the Ageing Process. A Study by the Analysis of QT Variability

Improvement of Sympathovagal Balance by Regular Exercise May Counteract the Ageing Process. A Study by the Analysis of QT Variability

Characterization of global research trends and prospects on sudden coronary death: A literature visualization analysis

Comparison of single-lead and multi-lead ECG for QT variability assessment using autoregressive modelling

Contact Info

Product

Resources

About