作者：张天嵩,张素,李秀娟,张伟伟,潘宝峰,杨克敏
【摘要】 目的 探索治疗肺纤维化中药复方的用药规律。方法 利用中国生物医学文献数据库检索到公开发表的文献中治疗肺纤维化的中药复方,建立相应数据库,采用频数分析、聚类分析、关联规则等方法对复方进行数据挖掘,对主要药物、药对(组)规律进行探讨。结果 在治疗肺纤维化的64首中药复方中,涉及114种药物,使用频次为584次;其中使用频次在5次以上的共36种、431频次;作为主要药物进行聚类分析,共分为补益药、活血药、化痰药、宣肃肺气药、清热药、平喘药6类;经关联规则分析,共得药对规则19条,药组规则25条,主要为益气药与活血药的配伍组合。结论 应用数据挖掘方法探索治疗肺纤维化中药复方用药规律是可行的。
【关键词】 肺纤维化;中药复方;用药规律;数据挖掘
Abstract：Objective To study the regularity of compound herbal formulae for pulmonary fibrosis. Methods Compound herbal formulae published on journals for the treatment of pulmonary fibrosis were searched and collected. A database was established for data mining using frequency count, cluster analysis and association rule analysis. Regularity of key herbs and a pair (group) of herbs was summarized. Results There were 64 prescriptions (totaling 114 herbs and 584 counts of frequency) in the compound herbal formulae for pulmonary fibrosis. The herbs which were used for more than 5 times included 36 herbs (totaling 431 counts of frequency). They were cluster analyzed and classified into 6 clusters including tonic, hemorheologic agent, apophlegmatisant, drugs used to disperse and lower the qi of the lung, heat-clearing drugs and antiasthmatic. The rules in pair of herbs were 19, and rules in group of herbs were 25 by association analysis. The rules consisted mostly of compatibility of qi-reinforcing drugs and hemorheologic agent. Conclusions It was feasible that study the regularity of Chinese compound prescription for the treatment of pulmonary fibrosis by data mining.
key words：pulmonary fibrosis;compound herbal formulae;regularity;data mining
间质性肺疾病(interstitial lung disease,ILD)是众多具有不同程度炎症和纤维化的急、慢性肺病,其最终病理结局是肺纤维化。近10年来,多数学者尝试用中医药治疗本病,虽然目前处于探索阶段,但已显示出了良好的前景,涌现出了一批治疗肺纤维化的中药复方。虽然组建处方的中医师受不同学术流派的影响,处方用药因个人经验而不同,但不同处方中可能隐含着许多很有价值的规律,而数据挖掘能够自动地发现隐藏在数据中的规律,更能偶然地发现一些非预期但很有价值的知识[1]。因此,采用数据挖掘方法探索这些复方的用药规律,可以对众多中医专家治疗肺纤维化的宝贵经验加以整理和挖掘,以期比较全面地获得对中医基础理论和临床实践规律的统一认识。
1 资料与方法
1.1 数据收集
首先以“肺纤维化”为主题词检索中国生物医学文献数据库(CBMDISC,1978年1月-2010年8月),通过阅读标题及摘要,初步获得有关中医药治疗肺纤维化的文献,仔细阅读全文,按组方符合中医理论、药味完整、剂量准确、主治明确、临床例数至少20例等标准,选取中药复方;将符合标准的64个复方按照编号、方名、药名、参考文献等依次输入Microsoft Excel 中,分别建立相应的数据库,各数据库间通过数据编码在不同数据间形成关联。
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