Atopic dermatitis (AD) is an inflammatory skin condition that relies largely on subjective evaluation of clinical signs and symptoms for diagnosis and severity assessment. Using multivariate data, we attempted to construct prediction models that can diagnose the disease and assess its severity. We combined data from 28 mild-moderate AD patients and 20 healthy controls (HC) to create random forest models for classification (AD vs.
View Article and Find Full Text PDFObjectives: To assess the feasibility of a definitive trial investigating the effects of acupuncture on atopic dermatitis symptoms including itching.
Design: A randomized, sham-controlled preliminary trial with three arms with a 4-week intervention period and a 4-week follow-up.
Interventions: Thirty participants were allocated to three arms (the verum acupuncture group 1 [VA1, 3 times weekly for 4 weeks], the verum acupuncture group 2 [VA2, twice weekly for 4 weeks], and the sham acupuncture group [SA, twice weekly for 4 weeks]) at a 1:1:1 ratio.
Evid Based Complement Alternat Med
November 2017
This study aims to test the feasibility of a randomised clinical trial to evaluate how acupuncture affects atopic dermatitis (AD) symptoms and quality of life and to explore potential biomarkers that may be associated with AD. It is a sham-controlled trial in which 30 eligible patients will be randomly allocated in a 1 : 1 : 1 ratio to one of three groups: verum acupuncture (VA) group 1 (3 times weekly for 4 weeks); VA group 2 (twice weekly for 4 weeks); or sham acupuncture group (SA; twice weekly for 4 weeks). SA will consist of nonpenetrating acupuncture.
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