刘建秋教授治疗AECOPD的经验及用药规律研究

发布时间：2018-05-12 23:46

  本文选题：AECOPD + 经验　； 参考：《黑龙江中医药大学》2016年硕士论文

【摘要】：目的：利用统计软件分析刘建秋教授治疗AECOPD的方药,探讨其用药规律,总结刘教授治疗本病的经验。方法：经验总结部分采用跟师出诊,向师请教学习的方式,深入了解老师对AECOPD的认识和治疗经验。用药规律研究部分所收集的处方,均来源于2014年11月-2015年11月间就诊于黑龙江中医药大学附属第一医院呼吸科门诊和病房,经刘建秋教授诊疗的AECOPD患者,根据纳入排除标准,共纳入85个方剂。对85个方剂建立原始数据库。运用Microsoft Excel 2003软件从用药频数、性味归经、功效方面来进行用药频数的统计,用SPSS19.0软件对频数大于等于20的进行聚类分析。结果：在85个方中共涉及104味中药,共出现1173频数。其中频数≥40次的有11味药,总共出现612次,占总数的52.17%,分别为半夏、苦杏仁、枇杷叶、瓜萎、莱菔子、紫苏子、白前、金银花、白果、甘草。从药物的性味归经上分析,可以看出药以温性为主,寒性第二,平性第三；五味中苦味居第一位,辛味次之,甘味第三；可以看出多数药物入肺、胃、脾、大肠、肝、肾经；经过对药物功效的统计,化痰止咳平喘药使用频数最高,其次为补虚药、清热药、解表药、消食药、活血化瘀药、理气药等,理气和活血化瘀药的使用频数接近。根据聚类分析结果结合临床实际应用,共形成4个聚类方。C1：紫苏子、苦杏仁、瓜萎、甘草、半夏、枇杷叶、莱菔子、白前、陈皮、桔梗。C2：麻黄、白果、补骨脂。C3：沙参、麦冬、金银花。C4：茯苓、酸枣仁、白芍、郁金。结论：1.刘建秋教授认为A ECOPD患者久病肺虚痰浊潴留、水饮内生,由于各种诱因导致急性发作。2.刘建秋教授治疗AECOPD采用解表祛邪、化痰祛瘀、扶正固本之法。3.刘建秋教授治疗AECOPD核心用药为半夏、苦杏仁、枇杷叶、瓜蒌、莱菔子、紫苏子、白前、金银花、白果、甘草。4.刘建秋教授治疗AECOPD药物主要性味归经是温、寒、平,苦、辛、甘,肺、胃、脾、大肠经。5.刘建秋教授治疗AECOPD以化痰止咳平喘药、补虚药、清热药为主,兼用理气和活血化瘀药。6.刘建秋教授化痰平喘的用药法则是“清燥温理,宣降敛纳”。
[Abstract]:Objective: to analyze the prescription of Professor Liu Jianqiu in the treatment of AECOPD by using statistical software, to discuss the rule of its use, and to summarize the experience of Professor Liu in treating this disease. Methods: in the part of experience summing up, we should follow the teacher and consult the teacher to learn more about the teacher's knowledge and treatment of AECOPD. The prescriptions collected in the study of drug use law were obtained from the outpatient clinic and ward of respiratory department of the first affiliated Hospital of Heilongjiang University of traditional Chinese Medicine from November 2014 to November 2015. According to the exclusion criteria, the AECOPD patients who were diagnosed and treated by Professor Liu Jianqiu. A total of 85 prescriptions were included. The original database of 85 prescriptions was established. Microsoft Excel 2003 software was used to analyze the frequency of drug use from the aspects of frequency, quality and efficacy, and the SPSS19.0 software was used to cluster analysis of the frequency greater than or equal to 20. Results: in 85 prescriptions, 104 herbs were involved, and 1173 frequencies were found. Among them, there were 11 kinds of medicine with frequency 鈮，

本文编号：1880716