» Articles » PMID: 32789871

Time- and Frequency-domain Analysis of Repolarization Phase During Recovery from Exercise in Healthy Subjects

Overview
Date 2020 Aug 14
PMID 32789871
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Background/aim: Recently, data from temporal dispersion of myocardial repolarization analysis have gained a capital role in the sudden cardiac death risk stratification. Aim of this study was to evaluate the influence of heart rate, autonomic nervous system, and controlled breathing on different myocardial repolarization markers in healthy subjects.

Method: Myocardial repolarization dispersion markers from short-period (5 minutes) electrocardiogram (ECG) analysis (time and frequency domain) have been obtained in 21 healthy volunteers during the following conditions: free breathing (rest); controlled breathing (resp); the first 5 minutes of postexercise recovery phases (exercise ), maximum sympathetic activation; and during the second 5 minutes of postexercise recovery phases (exercise ), intermediate sympathetic activation. Finally, we analyzed the whole repolarization (QTe), the QT peak (QTp), and T peak - T end intervals (Te).

Results: During the exercise , major part of repolarization variables changed in comparison to the rest and resp conditions. Particularly, QTe, QTp, and Te standard deviations (QTe , QTp , and Te ); variability indexes (QTeVI and QTpVI), normalized variances (QTeVN, QTpVN, and TeVN); and the ratio between short-term QTe, QTp, and Te variability RR (STV , STV and STV ) increased. During exercise , QTp (P < .05), QTpVI (P < .05), QTeVN (P < .05), QTpVN (P < .001), TeVN (P < .05), STV (P < .05), STV (P < .001), and STV (P < .001) were significantly higher in comparison to the rest. The slope between QTe (0.24 ± 0.06) or QTp (0.17 ± 0.06) and RR were significantly higher than Te (0.07 ± 0.06, P < .001).

Conclusion: Heart rate and sympathetic activity, obtained during exercise, seem able to influence the time domain markers of myocardial repolarization dispersion in healthy subjects, whereas they do not alter any spectral components.

Citing Articles

Chronic Heart Failure Management: Monitoring Patients and Intercepting Exacerbations.

Piccirillo G, Moscucci F, Sciomer S, Magri D Rev Cardiovasc Med. 2024; 24(7):208.

PMID: 39077011 PMC: 11266474. DOI: 10.31083/j.rcm2407208.


Artificial Intelligence Applied to Electrical and Non-Invasive Hemodynamic Markers in Elderly Decompensated Chronic Heart Failure Patients.

Piccirillo G, Moscucci F, Mezzadri M, Caltabiano C, Cisaria G, Vizza G Biomedicines. 2024; 12(4).

PMID: 38672072 PMC: 11048014. DOI: 10.3390/biomedicines12040716.


Effect of Head-Up/-Down Tilt on ECG Segments and Myocardial Temporal Dispersion in Healthy Subjects.

Piccirillo G, Moscucci F, Di Diego I, Mezzadri M, Caltabiano C, Carnovale M Biology (Basel). 2023; 12(7).

PMID: 37508390 PMC: 10376208. DOI: 10.3390/biology12070960.


QT and Tpeak-Tend interval variability: Predictive electrical markers of hospital stay length and mortality in acute decompensated heart failure. Preliminary data.

Piccirillo G, Moscucci F, Carnovale M, Bertani G, Lospinuso I, Di Diego I Clin Cardiol. 2022; 45(12):1192-1198.

PMID: 36082998 PMC: 9748746. DOI: 10.1002/clc.23888.