Prescription pattern of traditional Chinese medicine for treatment of hypertensive left ventricular hypertrophy based on multivariate data mining.
10.19540/j.cnki.cjcmm.20241125.501
- Author:
Xuan-Yang WANG
1
;
Yuan GAO
2
;
Bin LI
3
;
Rui YU
3
;
Shi-Yang XIE
3
;
Lu-Ye ZHOU
1
;
Yu-Die SUN
1
;
Ming-Jun ZHU
3
Author Information
1. Cardiac Center, the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China the First Clinical Medical College of Henan University of Chinese Medicine Zhengzhou 450000, China.
2. Cardiac Center, the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China the First Clinical Medical College of Henan University of Chinese Medicine Zhengzhou 450000, China Henan Engineering Research Center of Chinese Medicine Safety Evaluation and Risk Prevention and Control,the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China.
3. Cardiac Center, the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China Henan Engineering Research Center of Chinese Medicine Safety Evaluation and Risk Prevention and Control,the First Affiliated Hospital of Henan University of Chinese Medicine Zhengzhou 450000, China.
- Publication Type:Journal Article
- Keywords:
data mining;
hypertensive left ventricular hypertrophy;
prescription pattern;
traditional Chinese medicine
- MeSH:
Drugs, Chinese Herbal/therapeutic use*;
Data Mining;
Humans;
Hypertension/complications*;
Hypertrophy, Left Ventricular/physiopathology*;
Medicine, Chinese Traditional;
Drug Prescriptions
- From:
China Journal of Chinese Materia Medica
2025;50(6):1688-1698
- CountryChina
- Language:Chinese
-
Abstract:
This study explored the prescription pattern of traditional Chinese medicine(TCM) in the treatment of hypertensive left ventricular hypertrophy(LVH), so as to provide a relevant theoretical basis for the clinical diagnosis and treatment of hypertensive LVH. The study systematically searched the databases of CNKI, Wanfang, VIP, and SinoMed to screen out the qualified literature on TCM treatment of hypertensive LVH and used Microsoft Excel 2021 to establish the relevant prescription database. It also counted the frequency, property, flavor, and meridian affiliation of TCM in the prescriptions and classified their efficacy. The study used Lantern 5.0 and Rstudio software to analyze the hidden structural models and association rules of the high-frequency TCM with a frequency of >3.50% and adopted Origin 2024 software to visualize the data, so as to explore the prescription pattern of TCM in treating hypertensive LVH. The results showed that a total of 128 TCM prescriptions were included, involving 163 TCM with a total frequency of 1 242. The high-frequency TCM included Salviae Miltiorrhizae Radix et Rhizoma, Uncariae Ramulus Cum Uncis, Gastrodiae Rhizoma, Poria, and Chuanxiong Rhizoma, with the main efficacy from blood-activating and stasis-resolving herbs, tonic herbs, and liver-calming and wind-extinguishing herbs. The latent structure analysis(LSA) identified 10 latent variables, 20 latent classes, 7 comprehensive clustering models, and 23 core prescriptions. It was speculated that the common syndromes of hypertensive LVH included blood stasis obstructing the collaterals, ascending hyperactivity of liver Yang, Yin deficiency with Yang hyperactivity, and intermingled phlegm and blood stasis. The association rule analysis yielded 33 strong association rules, with the highest comprehensive association rule being Gastrodiae Rhizoma→Uncariae Ramulus Cum Uncis. Hypertensive LVH is characterized by asthenia in origin and asthenia in superficiality, with Yin deficiency and Qi deficiency as the origin and blood stasis and phlegm as the superficiality. Clinical treatment focuses on activating blood circulation, resolving stasis, tonifying Qi, and nourishing Yin, combined with syndrome-specific therapies such as calming wind and stopping convulsions, clearing heat, eliminating dampness and resolving phlegm, and promoting diuresis and reducing swelling.
