基于数据挖掘技术对艾静主任医师辨治高血压经验总结  

Experience summary of hypertension syndrome differentiation by Jing Ai chief physician based on data mining technology

作　　者：鲁曦 蒋裕中 姚家慧 艾静[2] LU Xi;JIANG Yuzhong;YAO Jiahui;AI Jing(Shuguang Clinical Medical College,Shanghai University of Traditional Chinese Medicine;Institute of Specialized Diagnosis and Treatment Technology,Health Administration Center,Shuguang Hospital,Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China)

机构地区：[1]上海中医药大学附属曙光临床医学院 [2]上海中医药大学附属曙光医院特色诊疗技术研究所治未病科,上海201203

出　　处：《新疆医科大学学报》2018年第8期1033-1038,共6页Journal of Xinjiang Medical University

基　　金：上海市卫生局中医药三年行动计划项目(ZY3-JSFC-3-1001)

摘　　要：目的总结并传承艾静主任医师辨治高血压的学术思想及临证经验。方法收集并整理艾静主任医师于2016年6月-2017年3月,在上海中医药大学附属曙光医院所诊治的57人、共144诊次高血压患者病史,借助中国中医科学院-中药研究所研发的中医传承辅助平台软件进行统计分析后,结合艾静主任医师临证经验阐述数据挖掘结果分析及讨论得出艾静主任医师临证辨治高血压的临床经验总结及其传承关系。结果符合纳入标准全数诊次中,男性23例、女性34例;证型分布由高至低依序为痰瘀阻络证、心脾两虚证、肝肾亏虚证、风阳内扰证;用药频率≥50%者由高至低依序为:川牛膝、丹参、钩藤、葛根、决明子、郁金、防己、车前子、珍珠母、景天三七、香橼、黄芩、酸枣仁。据数据挖掘结果综合艾静主任医师临证用药习惯显示,若临证兼见痰瘀阻络者,加用蒲黄、菖蒲、山楂;兼见心脾两虚者,加用黄芪、酸枣仁、合欢皮;兼见肝肾亏虚者,加用杜仲、怀牛膝、桑寄生;兼见风阳内扰者,加用黄芩、远志、灵磁石。结论本次课题研究结果可反映艾静主任医师临证治疗高血压的经验,且研究结果与高血压的临床症候基本符合。Objective To summarize and inherit the academic thinking and clinical experience of the hypertension syndrome differentiation of Jing Ai, chief physician through digitization and information technology. Methods Fifty-seven hypertensive patients with 144 times therapy by Jing Ai＇s outpatient from June 2016 to March 2017 in Shanghai Shuguang Affiliated Hospital of Shanghai University of Traditional Chinese Medicine were collected and organized, then with the help of Chinese medicine heritage support platform software developed by Chinese Academy of Traditional Chinese Medicine and Institute of Chinese Medicine to carry out statistical analysis, and combined with the experience of tutor clinical experience to explain the results of data mining analysis and get an experience summary of the hypertension syndrome differentiation of Jing Ai. Results Among the 57 patients （144 times of treatment） who met the inclusion criteria, 23 were male and 34 were female. Syndrome distribution order （from high to low）： phlegm and blood stasis syndrome, Qi deficiency and blood stasis, Liver-Kidney deficiency syndrome, Liver wind moving. Medication using frequency ≥50% order （from high to low）： Chuan Niu Xi, Dan Shen, Gou Teng, Ge Gen, Jue Ming Zi, Yu Jin, Fang Ji, Che Qian Zi, Zhen ZhuMu, Jing Tian San Qi, Xiang Yuan, Huang Qin and Suan Zao Ren. According to the data mining results and integrated tutor clinical medication habits showed that if the clinical evidence was found with symptom type of collaterals blocked by phlegm-stasis, she added Pu Huang, Shi Cang Pu and Shan Zha; if the clinical evidence was found with symptom type of Heart-Spleen Deficiency, added Huang Qi, Suan Zao Ren and He Huan Pi; if the clinical evidence was found with symptom type of the Liver-Kidney Deficiency, added Du Zhong, Huai Niu Xi and Sang Ji Sheng; if the clinical evidence was found with symptom type of the liver wind moving, added Huang Qin, Yuan Zhi and Ling Ci Shi. Conclusion According to the data mining results of this study, t

关 键 词：中医传承 高血压 数据挖掘 经验总结 

分 类 号：R241[医药卫生—中医诊断学]