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Comparison of QT interval variability of coronary patients without myocardial infarction with that of patients with old myocardial infarction

Authors :
Liping Li
Yunxiu Hou
Peng Li
Changchun Liu
Ke Li
Huan Zhang
Lianke Yao
Aruna Deogire
Jikuo Wang
Chang Yan
Han Li
Xinpei Wang
Chunlei Du
Source :
Computers in biology and medicine. 113
Publication Year :
2019

Abstract

Background The significant association of myocardial ischemia with elevated QT interval variability (QTV) has been reported in myocardial infarction (MI) patients. However, the influence of the time course of MI on QTV has not been investigated systematically. Method Short-term QT and RR interval time series were constructed from the 5 min electrocardiograms of 49 coronary patients without MI and 26 patients with old MI (OMI). The QTV, heart rate variability (HRV), and QT–RR coupling of the two groups were analyzed using various time series analysis tools in the time- and frequency-domains, as well as nonlinear dynamics. Results Nearly all of the tested QTV indices for coronary patients with OMI were higher than those for patients without MI. However, no significant differences were found between the two groups in any of the variables employed to assess the HRV and QT–RR coupling. All of the markers that showed statistical significances in univariate analyses still possessed the capabilities of distinguishing between the two groups even after adjusting for studied baseline characteristics, including the coronary atherosclerotic burden. Conclusions The results suggested that the QTV increased in coronary patients with OMI compared to those without MI, which might reflect the influence of post-MI remodeling on the beat-to-beat temporal variability of ventricular repolarization. The non-significant differences in the HRV and QT–RR couplings could indicate that there were no differences in the modulation of the autonomic nervous system and interaction of QT with the RR intervals between the two groups.

Details

ISSN :
18790534
Volume :
113
Database :
OpenAIRE
Journal :
Computers in biology and medicine
Accession number :
edsair.doi.dedup.....6bb3494d3617cb64c82ea3bcaba93796