Magnetocardiography scoring system to predict the presence of obstructive coronary artery disease

Autor:	Friedrich Jung, Jong Bhak, Eun-Seok Shin, Yat-Yin Lam, Sumio Morita, Johannes Brachmann, Ahmed Saleh, Seung Gu Park
Rok vydání:	2018
Předmět:	Male medicine.medical_specialty Optimal cutoff Scoring system Physiology Coronary Artery Disease 030204 cardiovascular system & hematology Logistic regression 030218 nuclear medicine & medical imaging Coronary artery disease 03 medical and health sciences 0302 clinical medicine Physiology (medical) Internal medicine Medicine Humans Prospective Studies Aged Retrospective Studies Magnetocardiography business.industry Hematology Middle Aged medicine.disease Predictive value Stenosis Coronary vessel Cardiology Female Cardiology and Cardiovascular Medicine business
Zdroj:	Shin, E.-S.; Park, S.G.; Saleh, A.; Lam, Y.-Y.; Bhak, J.; Jung, F.; Morita, S.; Brachmann, J.: Magnetocardiography scoring system to predict the presence of obstructive coronary artery disease. In: Clinical Hemorheology and Microcirculation. Vol. 70 (2019) 4, 365-373. (DOI: /10.3233/CH-189301)
ISSN:	1875-8622 1386-0291
DOI:	10.3233/CH-189301)
Popis:	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
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a4fba85b03cf408f6f2da798bd19a8a https://pubmed.ncbi.nlm.nih.gov/30320564 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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