糖尿病心脏构型超声数据模型的初步研究

发布时间：2018-04-29 00:24

本文选题：糖尿病 + 心脏构型　；参考：《皖南医学院》2014年硕士论文

【摘要】：目的：利用超声心动图检查获取糖尿病患者的心脏构型基础数据，并结合相关参数创建糖尿病心脏构型超声数据仓库，利用数据挖掘技术构建心脏构型超声数据模型，揭示糖尿病心脏构型的特征及变化规律或趋势，从基础数据中优选出反映其心脏构型及其变化的特征性指标。方法：选取糖尿病患者360例及正常健康人150例为研究对象，记录受试者的身高、体重及体表面积等形体指标和相关指标的影响因素如性别、年龄、血压、心率、血脂、血糖等。于标准超声心动图切面，采集受检者心脏构型超声检查基础数据，包括室间隔厚度、左室后壁厚度、升主动脉内径、心肌重量、各房室腔径、面积、容积等。将测量的心脏构型各项指标、形体指标与相关指标的影响因素相结合，建立心脏构型超声数据仓库及数据模型，然后根据各指标权重系数的大小从基础数据中优选出反映糖尿病心脏构型及其变化的特征性指标。结果：建立了正常人和糖尿病人群的心脏构型超声数据仓库及数据模型，并绘制出趋势图；通过对糖尿病心脏构型的各项指标与相关影响因素进行分析，根据各指标权重系数的大小，，显示左房收缩期末前后径、左房收缩期末面积、左房容积、左房容积指数、左室心肌重量、左室心肌重量指数、室壁相对厚度、室间隔厚度、左室后壁厚度在糖尿病时倾向于发生改变。结论：左房收缩期末前后径、左房收缩期末面积、左房容积、左房容积指数、左室心肌重量、左室心肌重量指数、室壁相对厚度、室间隔厚度、左室后壁厚度可以作为反映糖尿病心脏构型改变的特征性指标，以实现对糖尿病心脏构型演变的动态监测和中长期预报，为糖尿病的防治提供决策支持。
[Abstract]:Objective: to obtain the basic data of heart configuration of diabetic patients by echocardiography, and to establish the data warehouse of heart configuration of diabetes mellitus by combining the relevant parameters, and to construct the echocardiographic data model of heart configuration by using data mining technology. To reveal the characteristics of diabetic heart configuration and its changing law or trend, and to select the characteristic indexes from the basic data to reflect the heart configuration and its changes. Methods: 360 diabetic patients and 150 normal controls were selected to record the body height, body weight, body surface area and related factors such as sex, age, blood pressure, heart rate, blood lipid, blood sugar and so on. The basic data of echocardiography were collected, including the thickness of interventricular septum, the thickness of posterior wall of left ventricle, the diameter of ascending aorta, the weight of myocardium, the diameter of atrioventricular cavity, the area and volume of each atrioventricular cavity. The ultrasonic data warehouse and data model of heart configuration were established by combining the measured cardiac configuration indexes, body shape indexes and the influencing factors of related indexes. Then, according to the weight coefficient of each index, the characteristic indexes reflecting the heart configuration and changes of diabetes mellitus were selected from the basic data. Results: the echocardiographic data warehouse and data model of heart configuration in normal subjects and diabetic population were established, and the trend map was drawn. According to the weight coefficient of each index, the left atrial end systolic diameter, the area of left atrial systolic end, the left atrial volume index, the left ventricular mass index, the relative thickness of ventricular wall, the thickness of interventricular septum, the left atrial volume index, the left atrial systolic area, the relative thickness of ventricular wall, the thickness of interventricular septum were shown. Left ventricular posterior wall thickness tends to change in diabetes. Conclusion: left atrial end systolic diameter, left atrial end systolic area, left atrial volume, left atrial volume index, left ventricular mass index, left ventricular mass index, relative thickness of ventricular wall, thickness of interventricular septum, left atrial volume index, left ventricular end systolic diameter, left atrial volume, left ventricular volume index, left ventricular mass index, relative thickness of ventricular wall The left ventricular posterior wall thickness can be used as a characteristic index to reflect the change of diabetic heart configuration in order to realize the dynamic monitoring and medium and long term prediction of diabetic heart configuration evolution and provide decision support for the prevention and treatment of diabetes mellitus.
【学位授予单位】：皖南医学院
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：R540.45;R587.1

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