Comparison of exercise electrocardiography and magnetocardiography for detection of coronary artery disease using ST-segment fluctuation score.


Journal

Clinical hemorheology and microcirculation
ISSN: 1875-8622
Titre abrégé: Clin Hemorheol Microcirc
Pays: Netherlands
ID NLM: 9709206

Informations de publication

Date de publication:
2019
Historique:
pubmed: 19 2 2019
medline: 4 3 2020
entrez: 19 2 2019
Statut: ppublish

Résumé

Exercise electrocardiography (ECG) is frequently used as a diagnostic measure in patients with suspected coronary artery disease (CAD). However, it has low sensitivity for the detection of CAD. Magnetocardiography (MCG) has been proposed as an alternative tool to accurately diagnose CAD. To date, a direct comparison of MCG to ECG has not been performed. This study sought to compare them for predicting the presence of significantly obstructive CAD. The patients with chest pain or other symptoms suggestive of CAD were enrolled in the analysis. All the patients underwent a clinical evaluation, exercise ECG, MCG test, and coronary angiography (CA). CAD was defined as stenosis ≥70% in at least one major coronary artery on quantitative analysis of CA. We prospectively enrolled 202 consecutive patients who suggested CAD. The prevalence of CAD on CA was 39.1%. Sensitivity and accuracy for CAD diagnosis was higher for MCG compared with exercise ECG (sensitivities 68.4% and 40.5%, p <0.001, specificities 95.1% and 91.1%, p = 0.267, and accuracies 84.7% and 71.3%, p <0.001, respectively). There was no incremental diagnostic value of combined MCG and ECG to detect coronary artery disease (p = 0.357). For the patients with intermediate to high risk of CAD, MCG exercise test provides better diagnostic accuracy for the detection of relevant obstruction of the epicardial coronaries when directly compared to exercise ECG.

Sections du résumé

BACKGROUND BACKGROUND
Exercise electrocardiography (ECG) is frequently used as a diagnostic measure in patients with suspected coronary artery disease (CAD). However, it has low sensitivity for the detection of CAD. Magnetocardiography (MCG) has been proposed as an alternative tool to accurately diagnose CAD.
OBJECTIVE OBJECTIVE
To date, a direct comparison of MCG to ECG has not been performed. This study sought to compare them for predicting the presence of significantly obstructive CAD.
METHODS METHODS
The patients with chest pain or other symptoms suggestive of CAD were enrolled in the analysis. All the patients underwent a clinical evaluation, exercise ECG, MCG test, and coronary angiography (CA). CAD was defined as stenosis ≥70% in at least one major coronary artery on quantitative analysis of CA.
RESULTS RESULTS
We prospectively enrolled 202 consecutive patients who suggested CAD. The prevalence of CAD on CA was 39.1%. Sensitivity and accuracy for CAD diagnosis was higher for MCG compared with exercise ECG (sensitivities 68.4% and 40.5%, p <0.001, specificities 95.1% and 91.1%, p = 0.267, and accuracies 84.7% and 71.3%, p <0.001, respectively). There was no incremental diagnostic value of combined MCG and ECG to detect coronary artery disease (p = 0.357).
CONCLUSIONS CONCLUSIONS
For the patients with intermediate to high risk of CAD, MCG exercise test provides better diagnostic accuracy for the detection of relevant obstruction of the epicardial coronaries when directly compared to exercise ECG.

Identifiants

pubmed: 30775972
pii: CH180485
doi: 10.3233/CH-180485
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

283-291

Auteurs

Eun-Seok Shin (ES)

Department of Cardiology, Ulsan Medical Center, Ulsan Hospital, Ulsan, South Korea.

Ju-Hyun Chung (JH)

Department of Cardiology, Ulsan Medical Center, Ulsan Hospital, Ulsan, South Korea.

Seung Gu Park (SG)

Korean Genomics Industrialization and Commercialization Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.

Ahmed Saleh (A)

Coburg Hospital, 2nd Medical Department, Coburg, Germany.

Yat-Yin Lam (YY)

Prince of Wales Hospital, Chinese University of Hong Kong, Hong Kong.

Jong Bhak (J)

Korean Genomics Industrialization and Commercialization Center (KOGIC), Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Department of Biomedical Engineering, School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.

Friedrich Jung (F)

Institute of Biomaterial Science and Berlin-Brandenburg, Center for Regenerative Therapies (BCRT), Helmholtz Zentrum Geesthacht, Teltow, Germany.

Sumio Morita (S)

Department of Cardiology, Charité Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Berlin, Germany.

Johannes Brachmann (J)

Coburg Hospital, 2nd Medical Department, Coburg, Germany.

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