Introduction: The aim of this paper is to investigate the predictive value of the new integrated magnetocardiographic (MCG) index (CI) in the diagnosis of coronary artery disease (CAD) in patients with suspected CAD with intermediate pretest probability of the disease and uninformative results of routine tests.
Patients and methods: The study was carried out in the Clinic of Cardiology of the Main Military Clinical Hospital of Ukraine, Kiev (clinic 1), and in the Second Medical Clinic of the ‘Katholisches Klinikum Essen’, Germany (clinic 2).
The main group (group 1) included 89 patients without a history of myocardial infarction. Coronary angiography was performed because of chest pain. Depending on the results of coronary angiography, this group was divided into two subgroups: (i) those with at least 70% stenosis in at least one of the main coronary arteries (subgroup 1a) and (ii) those without hemodynamically significant stenosis (subgroup 1b). The control group included 43 healthy volunteers.
In all participants, the MCG examination was performed using a seven-channel MCG system located in an unshielded room. An integrated MCG index (CI), consisting of six parameters, was calculated.
Results: It can be shown that CI was significantly higher in patients with stenosis 70% or more compared with the patients without stenosis and healthy volunteers. Sensitivity was 93%, specificity was 84%, positive predictive value was 85%, and negative predictive value was 93%.
Conclusion: The MCG test at rest has the potential to be useful in the noninvasive diagnosis of CAD in patients with intermediate pretest probability of disease and uninformative results of routine tests.
aClinic of Cardiology, Main Military Clinical Hospital
bDepartment of Chronic Coronary Artery Disease, National Cardiology Center ‘N.D. Strazesko’
cDepartment of Sensor Devises, Glushkov Institute of Cybernetics NASU, Main Military Clinical Hospital, Kiev, Ukraine
dClinic of Cardiology, Catholic Hospitals Essen, University Witten Herdecke, Essen, Germany
Correspondence to Illya Chaikovsky, MD, PhD, Department of Sensor Devises, Glushkov Institute of Cybernetics NASU, Main Military Clinical Hospital, Kiev 03680, Ukraine Tel/fax: +44 380 526 1267; e-mail: email@example.com
Received December 13, 2013
Received in revised form January 29, 2014
Accepted February 11, 2014