A Prospective Study to Investigate Contact Sensitization Using Classic and Machine Learning Techniques

Andreas Syggros Hospital of Venereal and Dermatological Diseases

Status: Enrolling

Conditions: Allergic Contact Dermatitis

Treatments: Diagnostic Test: patch test for diagnosing allergic contact dermatitis

Study type: Observational

Funder types: Other

Identifiers

NCT05991674

131/2023

Details and patient eligibility

About

The goal of this study is to look into the patterns of sensitization to figure out how allergic contact dermatitis (ACD), individual susceptibility, and patient characteristics are connected. The joint application of classic statistics and machine learning methods will reveal the relationship between contact dermatitis expressions and several clinical characteristics.

Enrollment: 80 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

Eligible patients were adults diagnosed with dermatitis who had a positive patch test result on the chemical panel of Baseline Series of Allergens.

Exclusion criteria

Although there is no consensus for the definitive exclusion criteria from a patch testing, most studies agree that the chronic use of anti-inflammatory treatments, corticosteroids, and cyclosporine, high UV exposure and other chronic dermatoses are factors that might produce false- positive or false- negative results and thus should be avoided.

Trial design

80 participants in 1 patient group

Allergic Contact Dermatitis Patients

Treatment:

Diagnostic Test: patch test for diagnosing allergic contact dermatitis