摘要
目的基于近现代医家验案,挖掘儿童肾病综合征中医用药规律,并探讨高频药物的配伍应用思路。方法以中国期刊全文数据库(CNKI)、万方医学数据库(Wan Fang Data)、维普中文期刊数据库(VIP)、中国生物医学文献数据库(CBM)建库至2020年4月有关中医药治疗儿童肾病综合征的文献为数据源,进行药味的因子分析、聚类分析和关联分析,探讨高频药物的应用思路。结果符合纳入标准的116首方剂、212味中药中,以补虚药居多,用药频次较高的有茯苓、黄芪、泽泻、白术等,药物归经以肺、脾、肾居多,特点为寒温并用,且用药剂量偏低。结论儿童肾病综合征的治疗应重视儿童生理特性,用药以扶正补虚为主,常与利水祛风解表、清热活血、收敛固涩等治法相结合使用。
Objective Based on modern medical cases, this paper explored the rules of traditional Chinese medicine for nephrotic syndrome in children and explored the idea of applying high-frequency drugs in combination. Methods The literature about Chinese medicine treatment of nephrotic syndrome in children from the database of CNKI, CBM, VIP, and Wan Fang data built to April 2020 was used as the data source, and factor analysis, cluster analysis and association analysis of medicines were applied to explore the idea of application of high frequency drugs. Results Among the 116 prescriptions and 212 Chinese medicines that met the inclusion criteria, most of them were tonifying deficiency medicine. Among them, Poria, Astragali Radix, Alismatis Rhizoma and Atractylodis Macrocephalae Rhizoma etc. were used more frequently.Most of the channel tropism were spleen, lung and kidney. Using both cold and temperature medicine, the dosage was careful. Conclusion The treatment of nephrotic syndrome in children should pay attention to the physiological characteristics of children, and the medication should be mainly used to tonify deficiency, often combined with the treatment methods of diuresis, dispelling wind and relieving symptoms, clearing heat and invigorating blood, and astringency and consolidation.
作者
刘相均
滕羽鸥
王耀献
LIU Xiangjun;TENG Yuou;WANG Yaoxian(Department of Nephrology and Endocrinology,Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing 100700,China)
出处
《上海中医药杂志》
2021年第5期16-23,共8页
Shanghai Journal of Traditional Chinese Medicine
基金
国家卫健委“重大新药创制”科技重大专项(2017ZX09304019)
国家中医药管理局中医药传承新“百千万”人才工程岐黄学者项目(RSO32)。
关键词
儿童肾病综合征
验案
用药规律
中药
数据挖掘
nephrotic syndrome in children
medical cases
medication rules
traditional Chinese medicine
data mining
