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1.
PLoS One ; 18(12): e0296370, 2023.
Article in English | MEDLINE | ID: mdl-38117836

ABSTRACT

[This corrects the article DOI: 10.1371/journal.pone.0293332.].

2.
PLoS One ; 18(11): e0293332, 2023.
Article in English | MEDLINE | ID: mdl-37917786

ABSTRACT

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. HC) and regression analysis to predict symptom severities. The classification model outperformed the random permutation model significantly (area under the curve: 0.85 ± 0.10 vs. 0.50 ± 0.15; balanced accuracy: 0.81 ± 0.15 vs. 0.50 ± 0.15). Correlation analysis revealed a significant positive correlation between measured and predicted total SCORing Atopic Dermatitis score (SCORAD; r = 0.43), objective SCORAD (r = 0.53), eczema area and severity index scores (r = 0.58, each p < 0.001), but not between measured and predicted itch ratings (r = 0.21, p = 0.18). We developed and tested multivariate prediction models and identified important features using a variety of serum biomarkers, implying that discovering the deep-branching relationships between clinical measurements and serum measurements in mild-moderate AD patients may be possible using a multivariate machine learning method. We also suggest future methods for utilizing machine learning algorithms to enhance drug target selection, diagnosis, prognosis, and customized treatment in AD.


Subject(s)
Dermatitis, Atopic , Humans , Dermatitis, Atopic/diagnosis , Pilot Projects , Severity of Illness Index , Patient Acuity , Biomarkers
3.
Complement Ther Med ; 41: 90-98, 2018 Dec.
Article in English | MEDLINE | ID: mdl-30477869

ABSTRACT

OBJECTIVES: 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. MAIN OUTCOME MEASURES: We determined the visual analogue scale (VAS) for itching and insomnia, SCORing Atopic Dermatitis (SCORAD), Eczema Area and Severity Index (EASI), Patient Oriented Eczema Measure (POEM), and Dermatology Life Quality Index (DLQI) scores over the course of the study. Baseline index score (BIS) comparison according to general symptom was performed. RESULTS: The SCORAD, VAS (Pruritus), VAS (Insomnia), POEM, DLQI, and EASI were significantly improved in the VA groups. Significant BIS mean differences were observed most predominantly in epigastric tenderness and dyspepsia. There was no significant difference between VA1 and VA2 groups in all the main evaluation indices. CONCLUSIONS: For the following research, the authors suggest SCORAD (Total) as primary outcome and SCORAD (objective), VAS (Itch), VAS (insomnia), EASI, POEM, and DLQI as secondary outcomes. Thirty six participants should be conducted a 4-week acupuncture period (twice weekly) and a 4-week follow-up. It is necessary to compare the differences of general symptoms according to presence of epigastric tenderness or dyspepsia at the screening level.


Subject(s)
Acupuncture Therapy , Dermatitis, Atopic , Eczema/therapy , Pruritus/therapy , Severity of Illness Index , Adolescent , Adult , Dermatitis, Atopic/complications , Dermatitis, Atopic/therapy , Eczema/etiology , Female , Humans , Male , Pruritus/etiology , Visual Analog Scale , Young Adult
4.
Article in English | MEDLINE | ID: mdl-29358961

ABSTRACT

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. Outcome measures will include the Visual Analogue Scale for itch, SCORing Atopic Dermatitis, and Eczema Area and Severity Index to evaluate AD symptoms improvement along with the Patient Oriented Eczema Measure and Dermatology Life Quality Index to assess quality of life. Measures will be collected at baseline, once weekly during the treatment period, and after a 4-week follow-up period. Blood collection will be at baseline and 4 and 8 weeks after treatment and compared with healthy controls. Illumina sequencing will be used to profile microRNA expression in each group to explore candidate microRNA biomarkers for specific effects of acupuncture in patients with AD. This trial is registered via US National Institutes of Health Clinical Trials registry (ClinicalTrials.gov) on 15 July 2016, identifier: NCT02844452.

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