首页|基于一种矩阵和权重改进的MW-Apriori算法探讨名老中医李培旭教授治疗慢性肾脏病蛋白尿用药规律

基于一种矩阵和权重改进的MW-Apriori算法探讨名老中医李培旭教授治疗慢性肾脏病蛋白尿用药规律

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目的 通过一种改进Apriori算法对名老中医李培旭教授运用中医药治疗慢性肾脏病蛋白尿中药处方配伍及规律进行分析,以期对临床治疗有指导作用.方法 收集2018年1月-2021年1月期间李培旭教授诊治慢性肾脏病蛋白尿临床数据建立数据库,运用基于矩阵和权重改进的MW-Apriori算法,进行统计分析其中用药规律及药物组合特点,从而得出核心证型和核心处方.结果 共收集处方1239张,病例391例,涉及到药物共214味,其中使用频次>10次的有135味,累计使用频次17 467次,药物种类共21类,使用频次排名前5类分别为清热药、补虚药、利水药、解表药、活血药,性味归经方面,使用较多为寒性、平性及甘味药.在药物组合关联规则中显示连翘-金银花组合是所有药物组合中出现频次最高,甘草作为单味药物出现频次最高,且关联性最强,关联性较强药物为:金银花、连翘、黄柏、生地、黄芪、柴胡、泽泻、当归、白芍、蒲公英,总结出常见证型9种,常用药物50味,并从中得出核心证型及核心处方各4种,核心药物24味.结论 通过对李培旭教授治疗慢性肾脏病数据分析,肾病蛋白尿的原发病较多,病机以湿热致肾闭精泄,本虚标实,虚实错杂,病程冗长,湿热(毒)蕴结为基本证型,治疗以祛邪通闭、益气养阴为主,选药多注重寒性、平性及甘味药物,研究得出核心证型和核心处方较为准确客观反映李教授学术思想,对临床具有一定指导意义.
Exploring the Medication Patterns for Treating Proteinuria in Chronic Kidney Dis-ease by Professor Li Peixu,a Renowned Traditional Chinese Medicine Practitioner,Using an Improved Matrix and Weight Improved MW-Apriori Algorithm
Objective Using an improved Apriori algorithm,this study analyzed the traditional Chinese medicine(TCM)prescription compatibility and patterns employed by renowned traditional Chinese medicine practitioner Professor Li Peixu in the treatment of proteinuria associated with chronic kidney disease.The aim is to provide guidance for clinical treatment.Methods The clinical data of patients treated by Professor Li Peixu for proteinuria associated with chronic kid-ney disease from January 2018 to January 2021 were collected to establish a database.Utilizing an improved MW-Apriori algorithm based on matrix and weighted adjustments,statistical analysis was conducted to explore medication patterns and characteristics of drug combinations,leading to the identification of core syndrome patterns and core prescriptions.Results A total of 1239 prescriptions from 391 cases were collected,involving 214 different medicinal herbs.,among which,135 herbs were used more than 10 times,with a cumulative usage frequency of 17,467 times.The 21 categories of herbs were dominated by the top five categories:heat-clearing herbs,tonifying herbs,diuretic herbs,exterior-releasing herbs,and blood-activating herbs.In terms of taste and meridian tropism,cold,neutral,and sweet-tasting herbs were most frequently used.Based on drug combination association rules,forsythia and honeysuckle combination had the highest frequency.Licorice was the most frequently used single herb and had the strongest association.Other herbs with strong as-sociations included honeysuckle,weeping forsythia capsule,amur cork-tree,unprocessed rehmannia root,milkvetch root,Chinese thorowax root,oriental waterplantain rhizome,Chinese angelica,debark peony root,and dandelion.Nine common patterns and 50 frequently used herbs were identified,from which 4 core syndrome patterns,4 core prescriptions,and 24 core herbs were derived.Conclusion Through data analysis of Professor Li Peixu's treatment of chronic kidney disease,it is evident that there are multiple primary diseases causing proteinuria in kidney diseases.The pathogenesis is characterized by damp-heat obstructing the kidney and leakage of essence.The basic pattern of the disease involves weak root and solid manifestation,mixed deficiency and excess,prolonged disease course,and accumulation of dampness and heat(toxin).Treatment should focus on dispelling pathogenic factors,promoting circulation,and nourishing qi and yin.Herb selection emphasizes cold,neutral,and sweet-tasting herbs.The present study has accurately and objectively derived core syndrome patterns and core prescriptions,which reflect Professor Li's academic thoughts and have significant guiding implications for clinical practice.

Proteinuria in Chronic Kidney DiseaseTraditional Chinese MedicineAssociation RulesCore Syn-drome PatternCore Prescription

于子洋、张艳燕、马笑凡、崔伟锋、潘玉颖、李星锐

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北京中医药大学中医学院,北京 100048

河南医学高等专科学校,河南郑州 451191

河南省中西医结合医院,河南郑州 450004

慢性肾脏病蛋白尿 中医药 关联规则 核心证型 核心处方

河南省中医药拔尖人才培养项目河南省中医药科学研究专项重点课题河南省科技攻关项目河南省科技攻关项目

2021-152019ZY1042212102311116212102311133

2024

世界中西医结合杂志
中华中医药学会

世界中西医结合杂志

CSTPCD
影响因子:1.053
ISSN:1673-6613
年,卷(期):2024.19(2)
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