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| Analysis of the relationship between coronary lesions based on multidetector CT coronary angiography and risk factors of NSTEMI patients |
| HE Yan1,LV Jungang1,YANG Chunmei2,WANG Songtao3,XU Haili1,and WANG Lijun4. |
| 1.The Third Department of Internal Medicine, 3. Medical Department, 4. Radiology Department of Internal Medicine, Beijing Municipal Corps Hospital of Chinese People’s Armed Police Forces, Beijing 100027,China; 2.Jilin Provincial Corps Hospital of Chinese People’s Armed Police Forces,Changchun 130056,China |
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Abstract Objective To explore the effect of 64-slice multidetector CT coronary angiography (CCTA) on the diagnosis of the extent of coronary lesions and risk evaluation in patients with Non-ST elevation myocardial infarction (NSTEMI) by comparing the relative risk factors of NSTEMI patients which include high troponin I (HTnI), high low density lipoprotein-cholesterol (HLDL-C), high uric acid (HUA), high glucose (HGlu), high blood pressure (HBP), abnormal electrocardiogram (ECG), symptoms of angina pectoris. Methods According to the result of CCTA, 122 patients with NSTEMI were divided into three groups: healthy control group, group A (gentle coronary artery lesions group), group B and C (moderate and severe coronary artery lesions group). Venous blood samples were taken to examine TnI, LDL-C, UA, and Glu before standard treatment. The number of risk factors was compared between the three groups. Results Risk factors of HTnI, HLDL-C, HUA, HGlu, HBP in group B and C far outnumbered those of healthy control group and group A (P＜0.05 or P＜0.01). No significant difference in abnormal ECG and angina pectoris symptoms was observed between healthy control group and the other groups. Conclusion For those patients with NSTEMI who have either abnormal ECG or angina pectoris symptoms, CCTA should be used. CCTA is not only a noninvasive，simple and reliable technique, but also one of the most important methods to justify the extent of coronary lesions and to evaluate the risk of patients with NSTEMI. CCTA can help predict the risk of patients with NSTEMI early, reduce the rate of misdiagnosis and mortality and improve the cure rate.
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Received: 13 March 2012
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2012, Vol. 23 
