Identifying Compound Effect of Drugs on Rheumatoid Arthritis Treatment Based on the Association Rule and a Random Walking-Based Model.

BioMed Research International
Yanyan FangBing Wang

Abstract

Rheumatoid arthritis (RA) is a chronic autoimmune disorder that is diagnosed mainly on the basis of patient signs, symptoms, and laboratory indices. However, the exact causes of RA are unclear. Moreover, there is a lack of any method of dynamically evaluating the efficacy of the medication administered to treat RA. Here, we applied a random walk model to reveal the compatibility among the various constituents of traditional Chinese medicine and evaluate their therapeutic efficacy against RA. Drugs commonly used to treat RA were investigated using cluster analysis. The association rule analysis was applied to identify compatibilities among the constituents. A random walk model was developed to evaluate drug efficacy based on an in-house database comprising the clinical records of 9,408 RA patients. Frequently administered medicines were combined into three correlated sets. The evaluation based on the random walk method showed that the drug combination improved ESR, CRP, C3, C4, and IgA more effectively than any single drug. The present study demonstrated that the TCM constituents complement each other and various combinations of them produce different therapeutic effects on RA treatment.

References

Mar 12, 1992·Nature·C K PengH E Stanley
Oct 8, 2011·Journal of Traditional Chinese Medicine = Chung I Tsa Chih Ying Wen Pan·Chi ZhangAi-Ping Lü
Nov 22, 2011·Chinese Journal of Integrative Medicine·Jian Liu, Rui-lian Liu
Feb 20, 2014·Annals of the Rheumatic Diseases·Marita CrossLyn March
Oct 7, 2016·Tumour Biology : the Journal of the International Society for Oncodevelopmental Biology and Medicine·Anuj KumarTarun Kumar Bhatt
Apr 25, 2018·BMJ : British Medical Journal·Bryant R EnglandTed R Mikuls
Dec 15, 2019·Pharmacology & Therapeutics·Lingling Zhang, Wei Wei
Jan 18, 2020·Evidence-based Complementary and Alternative Medicine : ECAM·Huan ChenShijun Xu
Feb 13, 2020·Evidence-based Complementary and Alternative Medicine : ECAM·Ping XiaWeiming He
Feb 18, 2020·Phytomedicine : International Journal of Phytotherapy and Phytopharmacology·Wanying WangLiang Liu
Feb 23, 2020·Advances in Protein Chemistry and Structural Biology·Joanna L GilesJohn Landon
Feb 23, 2020·Journal of Evidence-based Medicine·Jin YangJun Lyu
Apr 15, 2020·Expert Systems with Applications·Shariq Bashir
May 19, 2020·Evidence-based Complementary and Alternative Medicine : ECAM·Xuan XiaQingchun Huang

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Citations

Oct 11, 2021·BMC Musculoskeletal Disorders·Jianting WenJie Wang

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Methods Mentioned

BETA
ESR

Software Mentioned

Growth
Oracle Developer Suite
FP
SPSS

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