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古代治疗喘证方剂用药规律分析:基于数据挖掘技术

Analysis of the Medication Rules of Ancient Prescriptions for Treating Asthma,Based on Data Mining Technology
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摘要 目的:基于数据挖掘分析中医古籍中治疗喘证处方的用药规律。方法:检索第5版《中华医典》,收集符合标准的治喘方剂,应用Excel 2016建立方药数据库,运用古今医案云平台(V2.4.2)进行统计分析。结果:①共纳入治疗喘证的处方878首,涉及中药363味,频次总计6655次。频次≥200的中药依次是苦杏仁、炙甘草、生姜、人参、桑白皮、陈皮、半夏;②对频次≥30的51味中药进行药物功效归类分析,频次居前的为化痰止咳平喘药1646次(32.24%)、补虚药1242次(24.32%)、解表药734次(14.38%)、理气药455次(8.91%);③药物四气频次较高的为温性3156次(52.64%)、寒性1364次(22.75%)、平性1264次(21.08%),五味频次较高的为辛2806次(31.06%)、苦2709次(29.99%)、甘2689次(29.77%),药物归经频次较高的为肺经4618次(29.75%)、脾经2911次(18.75%)、胃经2063次(13.29%);④通过聚类分析获得5个新处方:处方1:人参、五味子;处方2:炙甘草、桑白皮、陈皮、茯苓、桔梗、紫苏子;处方3:苦杏仁;处方4:生姜、半夏;处方5:麻黄、甘草、蜂蜜、贝母、桂枝、紫菀、款冬花。结论:古代喘证以外感实喘、气虚喘较多,古代医家治疗喘证以化痰止咳平喘为基、梳理气机为要,主治在肺,中上二焦并举,兼顾他脏。研究结论可为临床治疗喘证提供参考。 Objective:This study aims to conduct data mining analysis on prescriptions for panting syndrome found in ancient books of traditional Chinese medicine.Methods:The 5th edition of the Chinese Medical Code was retrieved to identify panting prescriptions that met the predefined criteria.An Excel 2016 database was established to compile the prescription data,and statistical analysis was performed using the cloud platform of ancient and modern medical records(V2.4.2).Results:A total of 878 prescriptions for the treatment of wheezing syndrome were included,involving 363 traditional Chinese medicines,with a total frequency of 6655 times.The traditional Chinese medicine with a frequency of≥200 is bitter almond,roasted licorice,ginger,ginseng,mulberry white bark,tangerine peel,and Rhizoma Pinellinae Praeparata.51 traditional Chinese medicines with a frequency≥30 were classified and analyzed for their drug efficacy.The highest frequency was 1646 times(32.24%)for resolving phlegm,relieving cough,and asthma,1242 times(24.32%)for tonifying deficiency,734 times(14.38%)for relieving external symptoms,and 455 times(8.91%)for regulating Qi.The drugs with higher frequency of four gases were warm 3156 times(52.64%),cold 1364 times(22.75%),and flat 1264 times(21.08%);The higher frequency of the five flavors is spicy 2806 times(31.06%),bitter 2709 times(29.99%),and sweet 2689 times(29.77%);The frequency of drug meridian tropism is higher in the lung meridian 4618 times(29.75%),spleen meridian 2911 times(18.75%),and stomach meridian 2063 times(13.29%).Obtain 5 new prescriptions through cluster analysis:Prescription 1:Ginseng and Schisandra.Prescription 2:Roasted licorice,mulberry bark,tangerine peel,Poria cocos,platycodon grandiflorum,and purple perilla seeds.Prescription 3:bitter almonds,Prescription 4:ginger,Rhizoma Pinellinae Praeparata.Prescription 5:Ephedra,Licorice,Honey,Fritillaria,Cinnamomum Cinnamomum,Aster,and Winter Flower.Conclusion:In ancient times,there were two types of panting syndrome:external feeling of hyperasthma and Qi deficiency hyperasthma.Ancient doctors treated panting syndrome by focusing on resolving phlegm to relieve cough and alleviate panting syndrome.They paid attention to treating the Qi mechanism,simultaneously addressing the lungs,Middle-Jiao,and Upper-Jiao while considering other organs.This information aims to provide some reference for the clinical treatment of panting syndrome.
作者 林伟兰 叶玲 潘鹏燕 刘颖儒 赖斯强 陈舜 柳伟婷 黄明愉 Lin Weilan;Ye Ling;Pan Pengyan;Liu Yingru;Lai Siqiang;Chen Shun;Liu Weiting;Huang Mingyu(The First Clinical Medical College,Fujian University of Traditional Chinese Medicine,Fuzhou 350122,China;Department of Respiratory,People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine,Fuzhou 350004,China;Science and Technology Innovation and Transformation Center,Fujian University of Traditional Chinese Medicine,Fuzhou 350122,China;Edith Cowan University,Australia 6027;Editorial Department,Xiamen Hospital of Traditional Chinese Medicine,Xiamen 361009,China)
出处 《亚太传统医药》 2025年第3期161-166,共6页 Asia-Pacific Traditional Medicine
基金 福建中医药大学校管科研项目(X2022009)。
关键词 喘证 《中华医典》 数据挖掘 用药规律 Panting Syndrome Chinese Medical Code Data Mining Medication Rules
作者简介 林伟兰(1996-),女,福建中医药大学博士研究生,研究方向为呼吸系统疾病中西医结合诊治;通讯作者:叶玲(1974-),女,硕士,福建中医药大学附属人民医院主任医师,硕士生导师,研究方向为呼吸系统疾病临床诊治。E-mail:13805005116@163.com。
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