Short-term QT interval variability in patients with coronary artery disease and congestive heart failure: a comparison with healthy control subjects.

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 derive...

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Published in:Medical & Biological Engineering & Computing Vol. 57; no. 2; pp. 389 - 401
Main Authors: Li, Yang, Li, Peng, Wang, Xinpei, Karmakar, Chandan, Liu, Changchun, Liu, Chengyu
Format: equations & formulas research tables/charts Journal Article
Published: Springer Nature Feb2019
Online Access:View this record in EBSCOhost
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        atl: Short-term QT interval variability in patients with coronary artery disease and congestive heart failure: a comparison with healthy control subjects.
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        au:
          Li, Yang
          Li, Peng
          Wang, Xinpei
          Karmakar, Chandan
          Liu, Changchun
          Liu, Chengyu
        affil: School of Control Science and Engineering, Shandong University, Jinan, People's Republic of China
      sug:
        subj:
          Heart Failure Physiopathology
          Long QT Syndrome Physiopathology
          Coronary Arteriosclerosis Physiopathology
          Heart Rate Physiology
          Aged
          Human
          Female
          Middle Age
          Male
          Electrocardiography Methods
          Adult
          Research Subjects
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Aged: 65+ years
          Middle Aged: 45-64 years
          Adult: 19-44 years
          Female
          Male
      ab: 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.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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