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基于数据挖掘的中医药治疗骨关节炎用药规律研究

来源:http://www.fsbygjy.com 日期:2019/9/26点击量:730

来源:风湿病与关节炎,2019,88:9-13.

 

基于数据挖掘的中医药治疗骨关节炎用药规律研究

(临床研究)

 

鲍丙溪,刘 健,忻 凌,黄 旦,孙艳秋

 

 

  【摘 要】目的:统计治疗骨关节炎中药使用情况,分析中药之间的相关关系,探索中药配伍规律。方法:基于数据挖掘技术,对2012年5月至2018年6月安徽中医药大学第一附属医院风湿病科住院患者的病历资料进行归纳分析。采用SPSS 19.0及SPSS Clementine 11.1对中药处方进行频数统计、关联规则分析。初步统计分析患者的人口统计学信息,以及中药的出现频次、性味归经及功效的分布。基于统计分析结果,关联规则分析被用于探索中药之间的相关关系。结果:共有2363份住院病历、8916份中药处方被纳入研究,主要分析结果如下:①温性(出现8691次)与平性(8591次)、味苦(8716次)和味甘(8797次)、归肝(胆)经(8803次)的中药使用最为频繁;②健脾利湿药(8673次)、活血化瘀药(8535次)的中药使用较为频繁;③活血化瘀药在处方中常与祛风通络药(置信度99.19%)、健脾除湿药(置信度98.19%)、补虚药(置信度97.88%)搭配使用;④关联规则发现最常用的3个药对为桃仁与红花(置信度88.14%)、薏苡仁与茯苓(置信度87.30%)、白术与茯苓(置信度86.14%)。结论:骨关节炎的治疗与补肝肾有密切的关系,活血化瘀药的使用贯穿骨关节炎治疗的始终,其可能是治疗过程中的关键因素。同时,补虚药、健脾除湿药、理气药、清热解毒药的配伍也是处方的基础。

  【关键词】 骨关节炎;中医药;配伍规律;数据挖掘;关联规则

 

Research on Medication Rules of Treating Osteoarthritis with Chinese Medicine Based on Data Mining

BAO Bing-xi,LIU Jian,XIN Ling,HUANG Dan,SUN Yan-qiu

 

  ABSTRACTObjective:To make statistics of the medication of Chinese medicine for osteoarthritis,analyze the correlation between Chinese medicinals and explore their compatibility.Methods:Based on data mining technology,the medical records of inpatients in Rheumatism Department of the First Affiliated Hospital of Anhui University of Chinese Medicine from May 2012 to June 2018 were collected and analyzed.SPSS 19.0 and SPSS Clementine 11.1 were used to analyze the frequency statistics and association rules of the collected prescriptions.Preliminary statistics can analyze the demographic information of patients,and the frequency of occurrence,meridian attribution and efficacy of Chinese medicine.Based on the results of statistical analysis,association rule analysis is used to explore the correlation between Chinese medicinals.Results:A total of 2363 hospitalized cases and 8916 prescriptions of Chinese medicine were included in the study.The main results were as follows:Warm-nature medicinalsappear 8691 times,neutral-nature medicinalsappear 8591 times,bitter-nature medicinalsappear 8716 times,sweet-nature medicinalsappear 8797 times,and medicinals attribute to liveror gall-bladdermeridianappear 8803 timeswere most frequently used;Spleen-invigorating and dampness-promoting medicinalsappear 8673 timesand blood-invigorating and stasis-dissolving medicinalsappear 8535 timeswere more frequently used;blood-invigorating and stasis-dissolving medicinals are often used in prescriptions together with wind-dispelling and collateral-unblocking medicinalsconfidence of 99.19%),spleen-fortifying and dampness-removing medicinalsconfidence of 98.19%)and deficiency-supplementing medicinalsconfidence of 97.88%);Association rules showed that three most commonly used pairs of drugs are TaorenSemen Persicaeand HonghuaFlos Carthami)(confidence of 88.14%),YiyirenSemen Coicisand FulingPoria)(confidence of 87.30%),BaizhuRhizoma Atractylodis Macrocephalaeand FulingPoria)(confidence of 86.14%).Conclusion:The treatment of osteoarthritis is closely related to reinforcing liver and kidney.Blood-invigorating and stasis-dissolving medicinals are used in the entire course of treatment for osteoarthritis,which may be the key factor.At the same time,the compatibility of deficiency-supplementing medicinals,spleen-invigorating and dampness-promoting medicinals,qi-regulating medicinals and heat-clearing and detoxifying medicinals is also the basis of prescription.

  Keywords osteoarthritis;traditional Chinese medicine;compatibility law;data mining;association rules

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友情链接:

百度 中国科学技术协会 中华中医药学会 中华医学会 中华医学会风湿病分会 中华中医药学会风湿病分会 中国中西医结合学会 中国中西医结合学会风湿病专业委员会 河南风湿网 河南风湿病医院
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