Left Ventricular Dyssynchrony Predicts Left Main Coronary Artery Disease in Patients with Non-ST-Segment Elevation Myocardial Infarction.
BACKGROUND
The purpose of our study was to examine whether left ventricular dyssynchrony predicts left main coronary artery stenosis in patients with non-ST-segment elevation myocardial infarction.


METHODS
A total of 100 consecutive patients with non-ST-segment elevation myocardial infarction underwent echocardiography and coronary artery angiography. The 3-dimensional echocardiography-derived left ventricular dyssynchrony parameter was determined by using the standard deviation of the time to the minimal systolic volume for the 16 segments. A stenosis ≥ 50% of the diameter of the left main coronary artery or a stenosis ≥ 70% in 1 or more of the major epicardial vessels or their main branches was considered significant.


RESULTS
The logistic regression analysis revealed that this parameter (odds ratio 1.2; 95% confidence interval, 1.01-1.42; p = 0.04) was the independent predictor of left main coronary artery stenosis. The receiver operating characteristic curve analysis revealed 8.86 as the optimal cutoff value to predict left main coronary artery stenosis (sensitivity, 71.4%; specificity, 89.2%).


CONCLUSIONS
The assessment of left ventricular dyssynchrony by 3-dimensional echocardiography is useful for a noninvasive diagnosis of the left main coronary artery stenosis in patients with non-ST-segment elevation myocardial infarction.


BACKGROUND
Dyssynchrony; Left main coronary artery stenosis; Non-ST-segment elevation myocardial infarction.
Department of Cardiology, En Chu Kong Hospital;
Yueh-Juh
YJ
Lin
Institute of Epidemiology and Preventive Medicine, National Taiwan University; ; Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Kuo-Liong
KL
Chien
Department of Cardiology, En Chu Kong Hospital;
Hsuan-Kuang
HK
Chen
Department of Cardiology, En Chu Kong Hospital;
Chia-Sung
CS
Wang
Department of Cardiology, En Chu Kong Hospital;
Ching-Chi
CC
Chu