Paper Info
Title
Short-term QT interval variability in patients with coronary artery disease and congestive heart failure: a comparison with healthy control subjects.
Abstract
This study aimed to test how different QT interval variability (QTV) indices change in patients with coronary artery disease (CAD) and congestive heart failure (CHF). Twenty-nine healthy volunteers, 29 age-matched CAD patients, and 20 age-matched CHF patients were studied. QT time series were derived from 5-min resting lead-II electrocardiogram (ECG). Time domain indices [mean, SD, and QT variability index (QTVI)], frequency-domain indices (LF and HF), and nonlinear indices [sample entropy (SampEn), permutation entropy (PE), and dynamical patterns] were calculated. In order to account for possible influence of heart rate (HR) on QTV, all the calculations except QTVI were repeated on HR-corrected QT time series (QTc) using three correction methods (i.e., Bazett, Fridericia, and Framingham method). Results showed that CHF patients exhibited increased mean, increased SD, increased LF and HF, decreased T-wave amplitude, increased QTVI, and decreased PE, while showed no significant changes in SampEn. Interestingly, CHF patients also showed significantly changed distribution of the dynamical patterns with less monotonously changing patterns while more fluctuated patterns. In CAD group, only QTVI was found significantly increased as compared with healthy controls. Results after HR correction were in common with those before HR correction except for QTc based on Bazett correction. Graphical abstract Fig. The framework of this paper. The arrows show the sequential analysis of the data.
Year
DOI
Venue
2019
10.1007/s11517-018-1870-8
Medical & biological engineering & computing
Keywords
Field
DocType
QT interval variability,QT variability index,Sample entropy,Permutation entropy,Dynamical patterns
Sample entropy,Healthy control,QT interval,Artificial intelligence,Heart rate,Framingham Risk Score,Coronary artery disease,Computer vision,Heart failure,Internal medicine,Cardiology,Permutation entropy,Mathematics
Journal
Volume
Issue
ISSN
57
2
1741-0444
Citations 
PageRank 
References 
0
0.34
6
Authors
6
Name
Order
Citations
PageRank
Yang Li1659125.00
Peng Li25910.17
Xinpei Wang3196.78
Chandan Karmakar414323.65
Changchun Liu5329.39
Chengyu Liu63518.50