Predictive value of unshielded magnetocardiographic mapping to differentiate atrial fibrillation patients from healthy subjects
Autor: | Gianluigi Guida, Donatella Brisinda, Anna Rita Sorbo, Riccardo Fenici |
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Rok vydání: | 2018 |
Předmět: |
Male
medicine.medical_specialty Inverse solution 030204 cardiovascular system & hematology Risk Assessment Severity of Illness Index Electric signal Electrocardiography 03 medical and health sciences Sex Factors 0302 clinical medicine Predictive Value of Tests Reference Values Physiology (medical) Internal medicine Humans Medicine atrial fibrillation Sinus rhythm Heart Atria 030212 general & internal medicine Retrospective Studies magnetocardiographic mapping Analysis of Variance Univariate analysis business.industry Body Surface Potential Mapping Age Factors Healthy subjects Signal Processing Computer-Assisted Atrial fibrillation Original Articles General Medicine Prognosis medicine.disease Predictive value Healthy Volunteers Case-Control Studies Settore MED/11 - MALATTIE DELL'APPARATO CARDIOVASCOLARE Cardiology Female Cardiology and Cardiovascular Medicine business Magnetocardiography |
Zdroj: | Annals of Noninvasive Electrocardiology. 23:e12569 |
ISSN: | 1082-720X |
DOI: | 10.1111/anec.12569 |
Popis: | BACKGROUND: P‐wave duration, its dispersion and signal‐averaged ECG, are currently used markers of vulnerability to atrial fibrillation (AF). However, since tangential atrial currents are better detectable at the body surface as magnetic than electric signals, we investigated the accuracy of magnetocardiographic mapping (MCG), recorded in unshielded clinical environments, as predictor of AF occurrence. METHODS: MCG recordings, in sinus rhythm (SR), of 71 AF patients and 75 controls were retrospectively analyzed. Beside electric and magnetic P‐wave and PR interval duration, two MCG P‐wave subintervals, defined P‐dep and P‐rep, were measured, basing on the point of inversion of atrial magnetic field (MF). Eight parameters were calculated from inverse solution with “Effective Magnetic Dipole (EMD) model” and 5 from “MF Extrema” analysis. Discriminant analysis (DA) was used to assess MCG predictive accuracy to differentiate AF patients from controls. RESULTS: All but one (P‐rep) intervals were significantly longer in AF patients. At univariate analysis, three EMD parameters differed significantly: in AF patients, the dipole‐angle‐elevation angular speed was lower during P‐dep (p |
Databáze: | OpenAIRE |
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