Abstract
Background: Cardiogoniometry (CGM) is a novel non-invasive technique for quantitative three-dimensional vectorial analysis of myocardial depolarization and repolarization. We aimed to determine the diagnostic value of cardiogoniometry for the identification of coronary artery disease (CAD) in patients with history of chest pain. Materials and Methods: Cardiogoniometry was performed in 190 patients with history of chest pain prior to diagnostic coronary angiography. Then cardiogoniometry parameters correlated with angiography findings to determine accuracy of cardiogoniometry for diagnose of CAD. Result: Cardiogoniometry showed a sensitivity of 72% and a specificity of 60%, which was less sensitive than perfusion scan but more sensitive than the ECG and comparable with exercise ECG. The specificity was less than these three methods. Conclusions: Cardiogoniometry is a new, noninvasive method which is helpful in identifying patients with coronary artery disease and can be performed at rest and free of risk such as radiation exposure, and also is suitable for patients who are not able to exercise.
Highlights
In this century, cardiovascular disease is responsible for 30% of total mortalities, and in 2010 was the most common cause of death in American men and women
We aimed to determine the diagnostic value of cardiogoniometry for the identification of coronary artery disease (CAD) in patients with history of chest pain
The sensitivity, specificity and accuracy of cardiogoniometry by taking angiography as the Gold standard Using sensitivity analysis, and ROC curve Analysis in all participants based on gender, diabetes, blood pressure and smoking were calculated
Summary
Cardiovascular disease is responsible for 30% of total mortalities, and in 2010 was the most common cause of death in American men and women. Of which about 20% of cases, is caused by IHD. The most common cause of IHD is coronary artery disease (CAD). We aimed to determine the diagnostic value of cardiogoniometry for the identification of coronary artery disease (CAD) in patients with history of chest pain. Materials and Methods: Cardiogoniometry was performed in 190 patients with history of chest pain prior to diagnostic coronary angiography. Conclusions: Cardiogoniometry is a new, noninvasive method which is helpful in identifying patients with coronary artery disease and can be performed at rest and free of risk such as radiation exposure, and is suitable for patients who are not able to exercise
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