Prediction of coronary artery stenosis with logistics model
Zhang Qi1, Liu Lingchong2, Li Guijie2, Song Gesheng2, Shi Hao2, Wang Bin1
1 Department of Medical Imaging, School of Clinical Medicine, Binzhou Medical University, Yantai 264003, China; 2 Department of Medical Imaging, Qianfoshan Hospital
Abstract：Objective The clinics needs a non-invasive, non traumatic diagnosis of coronary heart disease and corocnary artery stenosis. To evaluate the relationship between coronary artery stenosis and blood pressure, blood fat and blood sugar, and combine them with age and sex to establish logistics forecast model. To explore the feasibility of noninvasive diagnosis of coronary artery stenosis. Methods We collected a total of 894 patients who accepted coronary artery angiography examination in our hospital, with an average age of 58, including 545 male and 347 female cases. DSA results were used to classify stenosis group (with more than one branch of coronary artery stenosis, 744 cases) and no stenosis group (without coronary artery stenosis, 150 cases). Blood pressure, fasting blood glucose, triglyceride, total cholesterol, high density lipoprotein cholesterol and low density lipoprotein cholesterol were measured in both groups. T test was used to analyze the differences of each index between both groups, and the logistics model was fitted to built a prediction model with these indexes. Results Age, gender, fasting blood glucose, serum total cholesterol and high density fat cholesterol differences had statistical significance (P<0.05) between two groups. The proportion of male patients and patients with hypertension in stenosis group was higher than that in no stenosis group; the proportion of women in no stenosis group was higher than that of men. There was no significant difference in triglyceride and low density lipoprotein cholesterol between both groups (P<0.05). The age, sex, blood pressure, fasting blood glucose, total cholesterol and high density lipoprotein cholesterol were fitted to the logistics model, and the AUC was 0.751. High density lipoprotein in coronary heart disease (CHD) was a kind of protection material. Elderly male, hypertension, total cholesterol were risk factors for coronary heart disease. Conclusion The logistics model has certain significance in the prediction of coronary stenosis, and can realize the diagnosis of coronary stenosis to a certain extent.
张琪, 刘凌翀, 李桂杰, 宋歌声, 史浩, 王滨. Logistic模型预测冠状动脉狭窄程度[J]. 中国医院统计, 2017, 24(2): 105-107.
Zhang Qi, Liu Lingchong, Li Guijie, Song Gesheng, Shi Hao, Wang Bin. Prediction of coronary artery stenosis with logistics model. journal1, 2017, 24(2): 105-107.
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