D01. Data Analysis of Acupoint Selection in Acupuncture Treatment for Post-Stroke Depression Based on Traditional Chinese Medicine Inheritance Support System (TCMISS)

Main Article Content

Pornfah Ananpaisarn
Titi Phanjaroen

Abstract

Introduction: Post-Stroke Depression (PSD) is the one of the most common clinical complications in stroke patients. There are currently many methods of treatment for this disease, for Traditional Chinese Medicine acupuncture will be used mainly because it is safe, effective and few side effects. 


Objective: To summarize the rule of acupoint selection in acupuncture treatment of post-stroke depression based on data mining of clinical literature papers by Traditional Chinese Medicine Inheritance Support System (TCMISS) to provide new insights in clinical therapy.


Methods: The clinical research literature on acupuncture treatment of post-stroke depression was collected from the CNKI, Weipu and Wangfang Journal database between May 2012 to April 2022. The acupoint prescription was entered into the “Traditional Chinese Medicine Inheritance Support System (V2.5) software” and were analyzed for frequency, repetitive and core combination of prescribed acupoints.  


Results: 85 articles, 85 acupoint prescriptions and 79 acupuncture points were included into the study. The acupoints with highest frequency in overall usage in descending order are Baihui (DU20), Taichong (LR3), Neiguan (PC6), Shenmen (HT7) and Sishenchong (EX-HN1). The hight-frequency acupoints combinations are listed as follows: Baihui (DU20) and Neiguan (PC6), Baihui (DU20) and Taichong (LR3), Baihui (DU20) and Shenmen (HT7). 


Conclusion: Data mining and analysis of acupoint selection in acupuncture treatment of post-stroke depression could provide a new idea and insight for further clinical treatment.

Article Details

How to Cite
Ananpaisarn, P. ., & Phanjaroen, T. . (2022). D01. Data Analysis of Acupoint Selection in Acupuncture Treatment for Post-Stroke Depression Based on Traditional Chinese Medicine Inheritance Support System (TCMISS). Journal of Health Science and Alternative Medicine, 237–241. Retrieved from https://he01.tci-thaijo.org/index.php/jhealthscialternmed/article/view/257806
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Original Article

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