Non-invasive diagnosis of coronary artery disease by quantitative stress echocardiography: optimal diagnostic models using off-line tissue Doppler in the MYDISE study
| Autor: | George R. Sutherland, Ursula M. Wilkenshoff, Nichola Payne, Geneviève Derumeaux, Lars-Åke Brodin, CF Madler, Jan Engvall, Alan G. Fraser, Ariel Cohen, Luc Pierard |
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| Rok vydání: | 2003 |
| Předmět: |
Adult
Male medicine.medical_specialty Cardiotonic Agents Dopamine Coronary Artery Disease Chest pain Coronary artery disease Internal medicine Heart rate Stress Echocardiography Medicine Humans Circumflex Prospective Studies Prospective cohort study Aged business.industry Middle Aged medicine.disease Echocardiography Doppler Circulatory system Cardiology Regression Analysis Dobutamine Female Radiology medicine.symptom Cardiology and Cardiovascular Medicine business Blood Flow Velocity medicine.drug Echocardiography Stress |
| Zdroj: | European heart journal. 24(17) |
| ISSN: | 0195-668X |
| Popis: | Aims To develop optimal methods for the objective non-invasive diagnosis of coronary artery disease, using myocardial Doppler velocities during dobutamine stress echocardiography. Methods and results We acquired tissue Doppler digital data during dobutamine stress in 289 subjects, and measured myocardial responses by off-line analysis of 11 left ventricular segments. Diagnostic criteria developed by comparing 92 normal subjects with 48 patients with coronary disease were refined in a prospective series of 149 patients referred with chest pain. Optimal diagnostic accuracy was achieved by logistic regression models, using systolic velocities at maximal stress in 7 myocardial segments, adjusting for independent correlations directly with heart rate and inversely with age and female gender (all p |
| Databáze: | OpenAIRE |
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