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DC Field | Value | Language |
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dc.citation.endPage | 373 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 365 | - |
dc.citation.title | CLINICAL HEMORHEOLOGY AND MICROCIRCULATION | - |
dc.citation.volume | 70 | - |
dc.contributor.author | Shin, Eun-Seok | - |
dc.contributor.author | Park, Seung Gu | - |
dc.contributor.author | Saleh, Ahmed | - |
dc.contributor.author | Lam, Yat-Yin | - |
dc.contributor.author | Bhak, Jong | - |
dc.contributor.author | Jung, Friedrich | - |
dc.contributor.author | Morita, Sumio | - |
dc.contributor.author | Brachmann, Johannes | - |
dc.date.accessioned | 2023-12-21T21:12:42Z | - |
dc.date.available | 2023-12-21T21:12:42Z | - |
dc.date.created | 2019-03-11 | - |
dc.date.issued | 2018-01 | - |
dc.description.abstract | BACKGROUND: Magnetocardiography (MCG) has been proposed as a non-invasive and functional technique with high accuracy for diagnosis of myocardial ischemia. OBJECTIVE: This study sought to develop a novel scoring system of MCG for predicting the presence of significant obstructive coronary artery disease (CAD). METHODS: In a training set of 108 subjects, predictors of >= 70% stenosis in at least one major coronary vessel were prospectively identified from MCG variables. The final model was then retrospectively validated in a separate set of 45 subjects. RESULTS: In the multivariable logistic regression, among those in the training set, elevated scores were predictive of >= 70% stenosis in all subjects (OR: 40.85; 95% CI: 6.28-265.90; p < 0.001). In the validation set, the score had an area under the receiver-operating characteristic curve of 0.91 (p < 0.001) for >= 70% stenosis. At an optimal cutoff, the score had 89% sensitivity, 77% specificity, 74% positive predictive value (PPV), 91% negative predictive value (NPV), and 82% accuracy for >= 70% stenosis. Partitioning the score into three levels of predicted risk, 91% of subjects could be identified or excluding CAD (81% PPV and 84% NPV). CONCLUSION: We described an MCG score with high accuracy for predicting the presence of anatomically significant CAD. | - |
dc.identifier.bibliographicCitation | CLINICAL HEMORHEOLOGY AND MICROCIRCULATION, v.70, no.4, pp.365 - 373 | - |
dc.identifier.doi | 10.3233/CH-189301 | - |
dc.identifier.issn | 1386-0291 | - |
dc.identifier.scopusid | 2-s2.0-85062171165 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/26595 | - |
dc.identifier.url | https://content.iospress.com/articles/clinical-hemorheology-and-microcirculation/ch189301 | - |
dc.identifier.wosid | 000459546600001 | - |
dc.language | 영어 | - |
dc.publisher | IOS PRESS | - |
dc.title | Magnetocardiography scoring system to predict the presence of obstructive coronary artery disease | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.relation.journalWebOfScienceCategory | Hematology; Peripheral Vascular Disease | - |
dc.relation.journalResearchArea | Hematology; Cardiovascular System & Cardiology | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Magnetocardiography | - |
dc.subject.keywordAuthor | scoring | - |
dc.subject.keywordAuthor | coronary artery disease | - |
dc.subject.keywordAuthor | diagnosis | - |
dc.subject.keywordPlus | NORMAL VECTOR MAGNETOCARDIOGRAM | - |
dc.subject.keywordPlus | MYOCARDIAL-ISCHEMIA | - |
dc.subject.keywordPlus | HEART-DISEASE | - |
dc.subject.keywordPlus | ST-SEGMENT | - |
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