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Combination of Acupoints in Treating Patients with Chronic Obstructive Pulmonary Disease: An Apriori Algorithm-Based Association Rule Analysis.
Evid Based Complement Alternat Med. 2020; 2020:8165296.EB

Abstract

Chronic obstructive pulmonary disease (COPD) is highly prevalent and a major burden on the healthcare system worldwide. It has a severe impact on patients due to poor health-related quality of life (HRQL), dyspnea, and exertional intolerance. Our previous meta-analysis revealed that body acupuncture therapy had adjuvant benefits of improving HRQL in COPD patients undergoing optimal medical treatment. Previous studies indicated that treatment with combinations of acupoints was more effective than single acupoint treatment. The association rule analysis has been widely used to explore relationships in acupoint combination. Therefore, we aimed to investigate the potential core acupoint combination in COPD treatment by mining the association rules from the retrieved randomized control trials (RCTs) of the previous meta-analyses. This study was conducted based on Apriori algorithm-based association rule analysis, which is a popular data mining method available in software R. We extracted acupoints as binary data from the 12 included RCTs for analysis. There were 27 acupoints extracted from 12 RCTs. The top 10 frequently selected acupoints were BL12, BL13, BL20, BL23, BL43, CV17, EXB1, LU5, LU7, and ST36. We investigated 2444 association rules, and the results showed that {ST36, BL12} ≥ {CV17}, {ST36, BL12} ≥ {EXB1}, {CV17, BL12} ≥ {ST36}, and {EXB1, BL12} ≥ {ST36} were the most associated rules in the retrieved RCTs. The acupoint combinations of ST36, BL12, and CV17 and ST36, BL12, and EXB1 could be considered as the core of acupoint combination for further acupuncture treatment of COPD.

Authors+Show Affiliations

Department of Chinese Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan. School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.Department of Chinese Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan. School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.Division of Pulmonary Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan. School of Medicine, Tzu-Chi University, Hualien, Taiwan.Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.Department of Research, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan.Department of Chinese Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan. School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.Department of Chinese Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan. School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.Department of Chinese Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan. School of Post-Baccalaureate Chinese Medicine, Tzu Chi University, Hualien, Taiwan.Division of Pulmonary Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan. School of Medicine, Tzu-Chi University, Hualien, Taiwan.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32595739

Citation

Hsieh, Po-Chun, et al. "Combination of Acupoints in Treating Patients With Chronic Obstructive Pulmonary Disease: an Apriori Algorithm-Based Association Rule Analysis." Evidence-based Complementary and Alternative Medicine : ECAM, vol. 2020, 2020, p. 8165296.
Hsieh PC, Cheng CF, Wu CW, et al. Combination of Acupoints in Treating Patients with Chronic Obstructive Pulmonary Disease: An Apriori Algorithm-Based Association Rule Analysis. Evid Based Complement Alternat Med. 2020;2020:8165296.
Hsieh, P. C., Cheng, C. F., Wu, C. W., Tzeng, I. S., Kuo, C. Y., Hsu, P. S., Lee, C. T., Yu, M. C., & Lan, C. C. (2020). Combination of Acupoints in Treating Patients with Chronic Obstructive Pulmonary Disease: An Apriori Algorithm-Based Association Rule Analysis. Evidence-based Complementary and Alternative Medicine : ECAM, 2020, 8165296. https://doi.org/10.1155/2020/8165296
Hsieh PC, et al. Combination of Acupoints in Treating Patients With Chronic Obstructive Pulmonary Disease: an Apriori Algorithm-Based Association Rule Analysis. Evid Based Complement Alternat Med. 2020;2020:8165296. PubMed PMID: 32595739.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Combination of Acupoints in Treating Patients with Chronic Obstructive Pulmonary Disease: An Apriori Algorithm-Based Association Rule Analysis. AU - Hsieh,Po-Chun, AU - Cheng,Chu-Fang, AU - Wu,Chih-Wei, AU - Tzeng,I-Shiang, AU - Kuo,Chan-Yen, AU - Hsu,Pei-Shan, AU - Lee,Chang-Ti, AU - Yu,Min-Chien, AU - Lan,Chou-Chin, Y1 - 2020/05/20/ PY - 2020/03/21/received PY - 2020/05/06/accepted PY - 2020/6/30/entrez SP - 8165296 EP - 8165296 JF - Evidence-based complementary and alternative medicine : eCAM JO - Evid Based Complement Alternat Med VL - 2020 N2 - Chronic obstructive pulmonary disease (COPD) is highly prevalent and a major burden on the healthcare system worldwide. It has a severe impact on patients due to poor health-related quality of life (HRQL), dyspnea, and exertional intolerance. Our previous meta-analysis revealed that body acupuncture therapy had adjuvant benefits of improving HRQL in COPD patients undergoing optimal medical treatment. Previous studies indicated that treatment with combinations of acupoints was more effective than single acupoint treatment. The association rule analysis has been widely used to explore relationships in acupoint combination. Therefore, we aimed to investigate the potential core acupoint combination in COPD treatment by mining the association rules from the retrieved randomized control trials (RCTs) of the previous meta-analyses. This study was conducted based on Apriori algorithm-based association rule analysis, which is a popular data mining method available in software R. We extracted acupoints as binary data from the 12 included RCTs for analysis. There were 27 acupoints extracted from 12 RCTs. The top 10 frequently selected acupoints were BL12, BL13, BL20, BL23, BL43, CV17, EXB1, LU5, LU7, and ST36. We investigated 2444 association rules, and the results showed that {ST36, BL12} ≥ {CV17}, {ST36, BL12} ≥ {EXB1}, {CV17, BL12} ≥ {ST36}, and {EXB1, BL12} ≥ {ST36} were the most associated rules in the retrieved RCTs. The acupoint combinations of ST36, BL12, and CV17 and ST36, BL12, and EXB1 could be considered as the core of acupoint combination for further acupuncture treatment of COPD. SN - 1741-427X UR - https://www.unboundmedicine.com/medline/citation/32595739/Combination_of_Acupoints_in_Treating_Patients_with_Chronic_Obstructive_Pulmonary_Disease:_An_Apriori_Algorithm-Based_Association_Rule_Analysis L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/32595739/ DB - PRIME DP - Unbound Medicine ER -
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