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Using Diffuse Noxious Inhibitory Control (DNIC) to Predict Acupuncture Therapy Outcome: A Pilot Study

Not Applicable
Completed
Conditions
Pain
Interventions
Other: Acupuncture
Registration Number
NCT01088867
Lead Sponsor
University of Washington
Brief Summary

The investigators hypothesize that acupuncture modifies the DNIC efficiency and that DNIC can serve as a predictor to identify 'good responders' to acupuncture early in therapy.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
10
Inclusion Criteria
  • Healthy women with a progesterone-coated intrauterine device (Mirena), and
  • Men greater than or equal to 18 years old.
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Exclusion Criteria
  • Acupuncture treatment in the previous six weeks, to discount any persisting effect of acupuncture.
  • Treatment of a pain condition with pain medication.
  • Regular use of benzodiazepines.
  • Skin diseases, such as scleroderma, psoriasis or eczema.
  • An adverse event due to acupuncture therapy.
  • Pregnant women.
  • Women without a progesterone-coated intrauterine device (Mirena).
  • Anyone older than 60 years of age, fatigued, with a pacemaker ICD, artificial joint, prolonged bleeding time/hemophilia, open wounds, or a known susceptibility to profound analgesia after acupuncture treatment.
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Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Arm && Interventions
GroupInterventionDescription
AcupunctureAcupuncture14 weeks of electroacupuncture therapy.
Primary Outcome Measures
NameTimeMethod
Diffuse Noxious Inhibitory Control EfficiencyWeek 0, 2, 4, 6, and 12 of acupuncture therapy

The efficiency of diffuse noxious inhibitory control (DNIC) is a measure of one's ability to inhibit pain perception. DNIC efficiency is assessed by a psychophysical test that involves a heat thermode as the "test stimulus" and a warm water bath as the "conditioning stimulus". The results of this test will be used as the primary outcome measure.

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

University of Washington

🇺🇸

Seattle, Washington, United States

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