Data Mining-Based Analysis of Chinese Medicinal Herb Formulae in Chronic Kidney Disease Treatment

Joint Authors

Sun, Wei
He, Wei-ming
Gao, Kun
Xia, Ping
Xie, Jiadong
Shi, Ming
Li, Wei
Zhao, Jing
Yan, Jin
Liu, Qiong
Zheng, Min
Wang, Xin
Wu, Qijing
Zhou, Enchao
Chen, Jihong
Xv, Lingdong

Source

Evidence-Based Complementary and Alternative Medicine

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-01-25

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Medicine

Abstract EN

Background.

Traditional Chinese medicine (TCM) has long been used to treat chronic kidney disease (CKD) in Asia.

Its effectiveness and safety for CKD treatment have been confirmed in documented studies.

However, the prescription rule of formulae for Chinese medicinal herbs is complicated and remains uncharacterized.

Thus, we used data mining technology to evaluate the treatment principle and coprescription pattern of these formulae in CKD TCM treatment.

Methods.

Data on patients with CKD were obtained from the outpatient system of a TCM hospital.

We established a Chinese herb knowledge base based on the Chinese Pharmacopoeia and the Chinese Materia Medica.

Then, following extraction of prescription information, we deweighted and standardized each prescribed herb according to the knowledge base to establish a database of CKD treatment formulae.

We analyzed the frequency with which individual herbs were prescribed, as well as their properties, tastes, meridian tropisms, and categories.

Then, we evaluated coprescription patterns and assessed medication rules by performing association rule learning, cluster analysis, and complex network analysis.

Results.

We retrospectively analyzed 299 prescriptions of 166 patients with CKD receiving TCM treatment.

The most frequently prescribed core herbs for CKD treatment were Rhizoma Dioscoreae (Shanyao), Spreading Hedyotis Herb (Baihuasheshecao), Root of Snow of June (Baimagu), Radix Astragali (Huangqi), Poria (Fulin), Rhizoma Atractylodis Macrocephalae (Baizhu), Radix Pseudostellariae (Taizishen), and Fructus Corni (Shanzhuyu).

The TCM properties of the herbs were mainly being warm, mild, and cold.

The tastes of the herbs were mainly sweet, followed by bitter.

The main meridian tropisms were Spleen Meridian of Foot-Taiyin, Liver Meridian of Foot-Jueyi, Lung Meridian of Hand-Taiyin, Stomach Meridian of Foot-Yangming, and Kidney Meridian of Foot-Shaoyin.

The top three categories were deficiency-tonifying, heat-clearing, and dampness-draining diuretic.

Conclusion.

Using an integrated analysis method, we confirmed that the primary TCM pathogeneses of kidney disease were deficiency and dampness-heat.

The primary treatment principles were tonifying deficiency and eliminating dampness-heat.

American Psychological Association (APA)

Xia, Ping& Gao, Kun& Xie, Jiadong& Sun, Wei& Shi, Ming& Li, Wei…[et al.]. 2020. Data Mining-Based Analysis of Chinese Medicinal Herb Formulae in Chronic Kidney Disease Treatment. Evidence-Based Complementary and Alternative Medicine،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1158675

Modern Language Association (MLA)

Xia, Ping…[et al.]. Data Mining-Based Analysis of Chinese Medicinal Herb Formulae in Chronic Kidney Disease Treatment. Evidence-Based Complementary and Alternative Medicine No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1158675

American Medical Association (AMA)

Xia, Ping& Gao, Kun& Xie, Jiadong& Sun, Wei& Shi, Ming& Li, Wei…[et al.]. Data Mining-Based Analysis of Chinese Medicinal Herb Formulae in Chronic Kidney Disease Treatment. Evidence-Based Complementary and Alternative Medicine. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1158675

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1158675