title: [Study on medication regularity of traditional Chinese medicines in treating attention deficit hyperactivity disorder based on data mining].
abstract: In this study, efforts were made to collect 88 traditional Chinese medicine (TCM) prescriptions for treating ADHD from public literatures, establish a medication database and conduct data mining on the efficacy, properties, tastes, meridian entries and compatibility regularity of TCMs by using frequency analysis, association rules analysis and cluster analysis. The results showed 33 herbs with a high frequency (≥ 10%). The top 12 frequently applied ADHD herbs were respectively Acori Tatarinowii Rhizome, Polygalae Radix, Prepared Rehmanniae Radix, Os Draconis, Glycyrrhizae Radix et Rhizome, Poria, Concha Ostreae, Testudinis Carapacis et Plastri, Paeoniae Alba Radix, Schisandrae Fructus Chinensis, Fructus Corni, Dioscoreae Rhizoma. The top seven types of frequently applied ADHD herbs by effect were respectively tonic herb, sedative herbs, livei-wind calming herbs, heat clearing herbs, astringent herbs, awaking herbs and damp clearing and diuresis promoting herbs. The top three properties were warm, cold and neutral, with warm as the dominance. The top three tastes were sweetness, bitterness and acridity, with sweetness as the dominance. The top three meridian entries were liver meridian, heart meridian and kidney meridian. The association rules analysis showed commonly used herbal pairs. Polygalae Radix-Acori Tatarinowii Rhizome, Concha Ostreae-Os Draconis, Prepared Rehmanniae Radix-Fructus Corni-Os Draconis. Eight highly frequent cluster prescriptions were summarized based on the cluster analysis. This study indicates that basic TCM prescriptions for treating ADHD were principally composed of tonics (nourishing liver and kidney, invigorating heart and spleen) and tranquilization, which were supplemented with herbs for calming liver, clearing heat, promoting qi-circulation, promoting blood-circulation, reducing phlegm and calming endogenous wind. The combination of multiple data mining techniques can reflect the clinical medication regularity of herbs for treating ADHD in an overall and objective manner.
authors.forename: Xin-qiang
authors.initials: XQ
authors.lastname: Ni
authors.forename: Xin-min
authors.initials: XM
authors.lastname: Han
authors.forename: Dong-qi
authors.initials: DQ
authors.lastname: Yin
authors.forename: Cheng-quan
authors.initials: CQ
authors.lastname: Liu
mesh_terms: D001289:Attention Deficit Disorder with Hyperactivity / Q000188:drug therapy*; D057225:Data Mining; D004365:Drugs, Chinese Herbal / Q000627:therapeutic use*; D006801:Humans; D016740:Meridians
chemical_list: D004365:Drugs, Chinese Herbal