Relationship between R-R interval and left ventricular systolic synchrony in subjects with coronary artery disease

Li Ma1, Yanhong Li1, Zhisheng Wu1

  • 1Department of Echocardiography, First Affiliated Hospital, Xinjiang Medical University Urmuqi, China.

Insights

This study found that specific left ventricular (LV) systolic strain patterns and smoking status predict R-R interval length in coronary artery disease patients. These findings highlight the link between LV synchrony and heart rate variability.

Area of Science:

  • Cardiology
  • Echocardiography
  • Cardiac Electrophysiology

Background:

  • Coronary artery disease (CAD) can affect cardiac function and heart rate variability.
  • Left ventricular (LV) systolic synchrony plays a crucial role in overall cardiac performance.

Purpose of the Study:

  • To investigate the association between R-R interval (a measure of heart rate variability) and LV systolic synchrony in patients with CAD.
  • To identify predictors of R-R interval length related to LV systolic function.

Main Methods:

  • Utilized electrocardiography (ECG) to measure R-R intervals in 277 subjects with suspected CAD.
  • Employed four-dimensional (4D) speckle tracking echocardiography (STE) to quantify time to peak systolic longitudinal strain (Tssl) in 17 LV segments.
  • Performed multiple linear and logistic regression analyses to identify independent predictors.

Main Results:

  • The time to peak systolic longitudinal strain in the apical-septal (Tssl-Apical-S) and basal-anterolateral (Tssl-Basal-AL) segments were significant independent predictors of R-R interval.
  • Smoking status was also independently associated with R-R interval length.
  • Specific Tssl measurements (Tssl-Basal-AL, Tssl-Mid-IS, Tssl-Apical-S) and smoking status predicted the risk of a longer R-R interval.

Conclusions:

  • LV systolic synchrony, particularly Tssl in specific segments, and smoking status are independently associated with R-R interval in CAD patients.
  • These findings may inform future research on LV synchrony and guide cardiac resynchronization therapy strategies.

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