Utilizing data mining techniques to analyze traditional Chinese medicine patterns in patients with acute cardiorenal syndrome

Deshuang Yang, Jiangquan Liao, Shiyi Tao, Ziyi Sun, Li Huang, Xiang Xiao, Fang Wang, Mingjing Shao
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Abstract

Objective

This study intends to investigate the medication patterns of traditional Chinese medicine (TCM) for the treatment of acute cardiorenal syndrome (ACRS) through clinical data mining.

Methods

A retrospective study was conducted at China-Japan Friendship Hospital, encompassing hospitalized patients with ACSR admitted from June 1, 2013, to June 30, 2022. Patient treatment records, including TCM prescriptions, were gathered to establish a comprehensive prescription database. The prescriptions underwent analysis using the ancient and modern medical case cloud platform, incorporating the frequency, properties and flavors and channel tropism of each herbs, and clustering patterns, combination relationships, and complex network analysis of the whole.

Results

A total of 330 prescriptions from eligible hospitalized patients were included, which totally involves 324 kinds of different herbs. The therapeutic effects primarily emphasized descending qi and eliminating turbidity, promoting diuresis and reducing swelling, drying dampness and dispelling phlegm, and promoting the ascension of Yang Qi. The properties were largely warm, netural, slightly cool and cold, with warm being predominant. The flavors were chiefly sweet, spicy, and bitter, with sweetness being the most common. The major channel tropism were the lung and spleen meridians, followed by the stomach, liver, heart, and kidney meridians. Combination analysis identified 30 pairs of combinations, with higher associations found in combinations such as Jiegeng, Huangqi, Chaihu, Baizhu, Zhimu, and Dangshen. Cluster analysis categorized high-frequency herbs into 4 groups: Gualou–Fabanxia–Chuanxiong–Chishao, Fuling–Baizhu–Zhigancao–Chenpi, Maidong–Guizhi–Huangqi–Chaihu–Shengma–Zhimu–Shanzhuyu, and Huangqi–Dangshen–Jiegeng–Chaihu–Shengma–Zhimu–Shanzhuyu. Complex network analysis revealed core prescriptions for treating ACRS, including 17 herbs.

Conclusions

In the treatment of ACRS, TCM herbs with the properties of warm and neturality, and the flavors of sweet and spicy are commonly utilized. The prescribed herbal formulas have the effect of descending qi and eliminating turbidity, tonifying qi, activating blood and resolving stasis, resolving phlegm and promoting water.

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利用数据挖掘技术分析急性心肾综合征患者的中医模式
目的 本研究旨在通过临床数据挖掘研究中医药治疗急性心肾综合征(ACRS)的用药模式。 方法 在中日友好医院开展一项回顾性研究,涵盖 2013 年 6 月 1 日至 2022 年 6 月 30 日期间住院的急性心肾综合征患者。研究收集了患者的治疗记录,包括中医处方,从而建立了一个全面的处方数据库。利用古今医案云平台对处方进行分析,结合每味药材的使用频率、药性、性味和经络归经,对整体进行聚类模式、组合关系和复杂网络分析。 结果 共收录了符合条件的住院患者的 330 张处方,涉及 324 种不同的药材。疗效以降气化浊、利水消肿、燥湿祛痰、升发阳气为主。药性大体为温、净、微寒、凉,以温为主。性味主要有甘、辛、苦,其中以甘味最为常见。主要的经络归经是肺经和脾经,其次是胃经、肝经、心经和肾经。组合分析发现了 30 对组合,其中鸡血藤、黄芪、柴胡、白术、知母、丹参等组合的关联度较高。聚类分析将高频药材分为 4 组:瓜蒌-半夏-川芎-赤芍、茯苓-白术-炙甘草-陈皮、麦冬-桂枝-黄芪-柴胡-升麻-知母-山茱萸、黄芪-丹参-鸡血藤-柴胡-升麻-知母-山茱萸。复杂网络分析揭示了治疗 ACRS 的核心处方,包括 17 味中药。 结论 在 ACRS 的治疗中,常用温净、甘辛的中药。方中中药具有降气化浊、补气、活血化瘀、化痰利水的功效。
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