title: Severity of coronary atherosclerosis is an independent predictor of the left ventricular ejection fraction.
abstract: 1. We studied the association between the level of the left ventricular ejection fraction and the severity of coronary atherosclerosis. 2. The study population consisted of 850 consecutive patients who underwent coronary angiography for suspected or known coronary atherosclerosis. Anthropometric measurements including the body mass index, blood pressure, blood lipids, blood glucose and leucocyte count were taken. The severity of coronary atherosclerosis was defined by the Gensini score. 3. When the level of the left ventricular ejection fraction was examined as a categorical variable classified by quartile values, subjects with a high left ventricular ejection fraction level had significantly lower Gensini scores than those with a low left ventricular ejection fraction level (P=0.000). Spearman's correlation analysis suggested that the left ventricular ejection fraction was significantly negatively associated with Gensini score (r= -0.213, P=0.000). Multiple stepwise linear regression analysis showed that the Gensini score was significantly independently associated with the left ventricular ejection fraction level (β= -0.194, P=0.000). Furthermore, multivariable stepwise logistic regression analysis showed that the Gensini score was the independent risk factor for dysfunction of left ventricular ejection (OR=2.048, 95% CI=1.517-2.763). 4. The severity of coronary atherosclerosis was defined by the Gensini score. This was a strong and statistically highly significant predictor of the left ventricular ejection fraction level and dysfunction of left ventricular ejection independent of other major risk factors including age, body mass index, blood pressure, fasting blood glucose, blood lipid and leucocyte count.
authors.affiliation: Department of Cardiovascular Medicine, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, China. enzhijia@yahoo.cn
authors.forename: En-Zhi
authors.initials: EZ
authors.lastname: Jia
authors.forename: Zhen-Xia
authors.initials: ZX
authors.lastname: Xu
authors.forename: Zhi-Jian
authors.initials: ZJ
authors.lastname: Yang
authors.forename: Tie-Bing
authors.initials: TB
authors.lastname: Zhu
authors.forename: Lian-Sheng
authors.initials: LS
authors.lastname: Wang
authors.forename: Ke-Jiang
authors.initials: KJ
authors.lastname: Cao
authors.forename: Wen-Zhu
authors.initials: WZ
authors.lastname: Ma
mesh_terms: D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D001794:Blood Pressure; D015992:Body Mass Index; D017023:Coronary Angiography; D003324:Coronary Artery Disease / Q000503:physiopathology*; D004452:Echocardiography; D005260:Female; D006801:Humans; D007958:Leukocyte Count; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012307:Risk Factors; D012720:Severity of Illness Index; D013318:Stroke Volume / Q000502:physiology*
chemical_list: D001786:Blood Glucose