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Short-term QT interval variability in patients with coronary artery disease and congestive heart failure: a comparison with healthy control subjects
journal contribution
posted on 2019-02-01, 00:00 authored by Yang Li, Peng Li, Xinpei Wang, Chandan KarmakarChandan Karmakar, Changchun Liu, Chengyu LiuThis 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.
History
Journal
Medical and biological engineering and computingVolume
57Issue
2Pagination
389 - 400Publisher
Springer VerlagLocation
Berlin, GermanyPublisher DOI
ISSN
0140-0118Language
engPublication classification
C1 Refereed article in a scholarly journalUsage metrics
Keywords
Science & TechnologyTechnologyLife Sciences & BiomedicineComputer Science, Interdisciplinary ApplicationsEngineering, BiomedicalMathematical & Computational BiologyMedical InformaticsComputer ScienceEngineeringQT interval variabilityQT variability indexSample entropyPermutation entropyDynamical patternsT-WAVE AMPLITUDEREPOLARIZATION LABILITYAPPROXIMATE ENTROPYMORTALITYCOMPLEXITYRRSERIESTACHYCARDIADEATHInformation Systems
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