Incremental diagnostic value of combined quantitative and qualitative parameters of magnetocardiography to detect coronary artery disease

被引:18
|
作者
Shin, Eun-Seok [1 ]
Lam, Yat-Yin [2 ]
Her, Ae-Young [3 ]
Brachmann, Johannes [4 ]
Jung, Friedrich [5 ]
Park, Jai-Wun [4 ]
机构
[1] Univ Ulsan, Ulsan Univ Hosp, Coll Med, Dept Cardiol, Ulsan, South Korea
[2] Chinese Univ Hong Kong, Prince Wales Hosp, Hong Kong, Hong Kong, Peoples R China
[3] Kangwon Natl Univ, Sch Med, Dept Internal Med, Div Cardiol, Chunchon, South Korea
[4] Coburg Hosp, Dept Med 2, Coburg, Germany
[5] Helmholtz Zentrum Geesthacht, Inst Biomat Sci & Berlin Brandenburg, BCRT, Ctr Regenerat Therapies, Teltow, Germany
关键词
Magnetocardiography; Coronary artery disease; Myocardial ischemia; ST-segment fluctuation score; Non-dipole phenomenon; MYOCARDIAL-ISCHEMIA; HEART-DISEASE; ST-SEGMENT; FRAGMENTATION; POTENTIALS; COMPLEX; STRESS; WAVE;
D O I
10.1016/j.ijcard.2016.11.165
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background/objectives: Magnetocardiography (MCG) has been proposed as a non-invasive and functional technique with high accuracy for diagnosis of myocardial ischemia. This study sought to investigate the incremental diagnostic value of combined quantitative and qualitative parameters of MCG to detect coronary artery disease (CAD). Methods: Ninety six patients with suspected CAD who underwent coronary angiography were enrolled in the analysis to test the diagnostic accuracy of 2 MCG parameters (a quantitative parameter of the percent change of ST-segment fluctuation score and a qualitative parameter of non-dipole phenomenon). Results: The best cut-off value for the percent change of ST-segment fluctuation score was-51.0%. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 78.1, 73.9, 82.0, 79.1, and 77.4, in the percent change of ST-segment fluctuation score and 86.5, 84.8, 88.0, 86.7, and 86.3 in non-dipole phenomenon. The area under the curve of receiver-operating characteristics was 0.79 for the percent change of ST-segment fluctuation score and 0.86 for non-dipole phenomenon (p < 0.001). However, the incorporation of non-dipole phenomenon into a model with the percent change of ST-segment fluctuation score significantly improved C-statistics, indicating the enhancement of diagnostic performance in the detection of significant CAD (0.790 to 0.930; p < 0.001). Conclusions: Qualitative assessment of non-dipole phenomenon has a better diagnostic value than the quantitative parameter of percent change of ST-segment fluctuation score in the detection of significant CAD. Furthermore, this study found that the incorporation of non-dipole phenomenon into the percent change of ST-segment fluctuation score significantly improved the diagnostic performance of CAD detection. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:948 / 952
页数:5
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