1.辽宁中医药大学研究生学院(辽宁 沈阳 110087)
2.辽宁中医药大学附属医院肛肠科(辽宁 沈阳 110032)
3.辽宁中医药大学第一临床学院(辽宁 沈阳 110087)
张文星,男,硕士研究生,主要从事中医肛肠疾病的临床与研究工作
王荣,主任医师,教授,硕士研究生导师;E-mail:wangrong5273@hotmail.com
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张文星, 王荣, 牟永旭. 基于数据挖掘的中药熏洗促进肛周脓肿术后愈合的用药规律研究[J]. 上海中医药杂志, 2021,55(3):22-26.
Wenxing ZHANG, Rong WANG, Yongxu MU. Data-mining based research on prescription rules of traditional Chinese medicine fumigation and washing to promote postoperative wound healing of perianal abscess[J]. Shanghai Journal of Traditional Chinese Medicine, 2021,55(3):22-26.
张文星, 王荣, 牟永旭. 基于数据挖掘的中药熏洗促进肛周脓肿术后愈合的用药规律研究[J]. 上海中医药杂志, 2021,55(3):22-26. DOI: 10.16305/j.1007-1334.2021.2004016.
Wenxing ZHANG, Rong WANG, Yongxu MU. Data-mining based research on prescription rules of traditional Chinese medicine fumigation and washing to promote postoperative wound healing of perianal abscess[J]. Shanghai Journal of Traditional Chinese Medicine, 2021,55(3):22-26. DOI: 10.16305/j.1007-1334.2021.2004016.
目的,2,运用数据挖掘方法,分析中药熏洗促进肛周脓肿术后创面愈合的用药规律。,方法,2,计算机检索中国知网(CNKI)、万方数据知识服务平台(WanFang Data)、维普中文期刊服务平台(VIP)、中国生物医学文献服务平台(CBM)、PubMed等数据库,收集所有关于中药熏洗促进肛周脓肿术后愈合的文献,文献发表时间为2010年1月1日至2019年12月31日。借助Microsoft Office Excel 2003、IBM SPSS Statistics 23.0、IBM SPSS Modeler 14.1软件对处方进行用药频数分析、性味归经分析、聚类分析、高频用药关联规则分析。,结果,2,①最终纳入文献72篇,涉及处方72首,中药93味;中药以苦寒、归肝经者居多。②频次分析结果显示,最常用(使用频率超过50%)的中药有6味,分别为金银花、甘草、苦参、当归、黄柏、蒲公英。③高频药物聚类分析结果显示,纳入的高频药物可分为清热解毒、清热祛湿、活血止痛、消肿排脓、收敛止血、燥湿止痛止痒6类。④药物关联规则分析结果显示,二阶关联规则综合支持度较高的药物组合为金银花-甘草,三阶关联规则综合支持度较高的药物组合为苦参-金银花-甘草。,结论,2,中药熏洗促进肛周脓肿术后创面愈合用药以清热解毒为基本治则,辅以活血止痛、消肿排脓、收敛止血、祛湿止痒之法,且苦寒药物居多。
Objective,2,To analyze and explore the prescription rules of traditional Chinese medicine fumigation and washing to promote postoperative wound healing of perianal abscess based on data mining.,Methods,2,Literatures on the promotion of postoperative wound healing of perianal abscess by traditional Chinese medicine fumigation and washing published from January 1, 2010 to December 31, 2019 were retrieved from the databases of CNKI, WanFang Data, VIP, China Biomedical Literature Service Platform (CBM), and PubMed, etc. With the help of Microsoft Office Excel 2003, IBM SPSS Statistics 23.0 and IBM SPSS Modeler 14.1 softwares, we conduced frequency analysis, the properties, taste and meridian tropism analysis of the included traditional Chinese herbal medicines(TCHMs), cluster analysis, and association rule mining of high-frequency herbs.,Results,2,①Finally 72 articles were included, involving 72 prescriptions and 93 TCHMs, which were mostly bitter cold herbs entering the liver meridian. ②The results of frequency analysis showed that there were 6 most commonly used TCHMs (,f,>,50%), namely, Jinyinhua (,Flos Lonicerae,), Gancao (,Radix Glycyrrhizae,), Kushen (,Radix Sophorae Flavescentis,), Danggui (,Radix Angelicae Sinensis,), Huangbai (,Cortex Phellodendri,), and Pugongying (,Taraxacum officinale,). ③Cluster analysis showed that the included high-frequency TCHMs can be divided into 6 categories: TCHMs for clearing heat and removing toxin, TCHMs for clearing heat and dampness, TCHMs for activating blood and relieving pain, TCHMs for subsiding swelling and discharging pus, astringent TCHMs for arresting bleeding, and TCHMs for eliminating dampness and relieving pain and itching. ④The herbal association rule mining showed that Jinyinhua (,Flos Lonicerae,)-Gancao (,Radix,) ,Glycyrrhizae, was a TCHM pair with relatively higher support, and Kushen (,Radix Sophorae Flavescentis,)-Jinyinhua (,Flos Lonicerae,)-Gancao (,Radix Glycyrrhizae,) was a TCHM group with relatively higher support.,Conclusion,2,Traditional Chinese medicine fumigation and washing can promote postoperative wound healing of perianal abscess. The basic treatment principle is to clear heat and remove toxin, supplemented by methods of promoting blood circulation and relieving pain, relieving swelling and expelling pus, astringing to arrest bleeding, and eliminating dampness to stop itching. Most traditional Chinese herbal medicines used are cold in property and bitter in taste.
肛周脓肿术后创面愈合中药熏洗数据挖掘
perianal abscesspostoperationwould healingTCM fumigation and washingdata mining
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