Korean Circulation Journal

The Korean Society of Cardiology (대한심장학회)
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Improved Detection of Ischemic Heart Disease by Combining High-Frequency Electrocardiogram Analysis with Exercise Stress Echocardiography

  • Choi, Jin-Oh (Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Chang, Sung-A (Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Park, Sung Ji (Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Lee, Sang-Chol (Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine) ;
  • Park, Seung Woo (Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine)
  • Published : 2013.10.31
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Abstract

Background and Objectives: Because the exercise treadmill test (ETT) based on ST-segment analysis is limited due to low sensitivity and specificity, there has been an interest in the additional analysis of high-frequency components of QRS (HFQRS) for the detection of coronary artery disease (CAD). We sought to evaluate the feasibility and clinical usefulness of HFQRS analysis during exercise stress echocardiography (ESE). Subjects and Methods: We evaluated 175 patients (age $57{\pm}9$, 118 men) who performed ESE and either coronary computed tomographic angiography or coronary angiography. ETT was performed using the HyperQ stress system for both conventional ST-segment analysis and HFQRS intensity analysis. Results: Thirty-two patients (31%) had significant CAD. The sensitivity and specificity of HFQRS analysis were 68.8% and 74.8%, respectively. The combined model, including HFQRS analysis and ESE, provided the best diagnostic accuracy, with the area under the receiver-operating characteristics curve (AUC) of 0.948 {95% confidence interval (CI)=0.913-0.984} compared with ST-segment analysis (AUC 0.679, 95% CI=0.592-0.766). Conclusion: HFQRS analysis during ESE is feasible and may provide additional diagnostic information for the detection of significant CAD.

Keywords

References

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