Literature DB >> 30671150

Auricular Acupoints with Reduced Skin Resistance: Detection in Patients Scheduled for Hip Arthroplasty.

Taras I Usichenko1,2, Bert Wetzel1, James Paul2, Victor Lysenyuk3, Klaus Hahnenkamp1, Johannes Fleckenstein4,5.   

Abstract

Objective: The detection of auricular acupuncture (AA) points by measuring electrical skin resistance (ESR) is often used in diagnostics and therapy; however, systematic investigations of ESR in AA points are rare. The aim of this study was to examine the frequency of detection of AA points with reduced ESR in patients scheduled for unilateral hip arthroplasty. Materials and
Methods: Data were obtained from 2 prospective clinical trials, which studied the perioperative analgesic effects of AA in patients with unilateral degenerative hip osteoarthritis. Three AA points (MA-TF1, MA-AH4, and MA-IC1) were examined in these patients before arthroplasty surgery using a SVESA (Neuralstift SVESA 1070, SVESA, Muenchen, Germany) neural pen. The frequency of AA points detection on the ipsi- and contralateral sides of the affected hip joint was registered and analyzed with a χ2 test.
Results: The data of 114 patients (60 females) were available for analysis. AA points with lower ESR were detected more frequently on the side ipsilateral to the affected joint rather than on the contralateral side: 81% versus 37% of patients (P < 0.0001). None of the AA points could be identified at all in 13% of patients with diabetes mellitus versus 3% of patients without diabetes mellitus (P = 0.07). Conclusions: AA points with low ESR were detected more frequently on the side ipsilateral to the underlying pathology. This finding is in agreement with neurophysiologic data. The therapeutic value of this finding should be clarified in future studies.

Entities:  

Keywords:  auricular acupuncture; hip pain; skin resistance

Year:  2018        PMID: 30671150      PMCID: PMC6338557          DOI: 10.1089/acu.2018.1314

Source DB:  PubMed          Journal:  Med Acupunct        ISSN: 1933-6586


  1 in total

1.  Visualizing Research Trends and Identifying Hotspots of Traditional Chinese Medicine (TCM) Nursing Technology for Insomnia: A 18-Years Bibliometric Analysis of Web of Science Core Collection.

Authors:  Junxin Wang; Yufeng Chen; Xing Zhai; Yupeng Chu; Xiangdi Liu; Xueling Ma
Journal:  Front Neurol       Date:  2022-03-31       Impact factor: 4.003

  1 in total

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