Machine learning–based deep phenotyping of atopic dermatitis: Severity-associated factors in adolescent and adult patients
JAMA Dermatology Nov 16, 2021
Maintz L, Welchowski T, Herrmann N, et al. - The main factors associated with the severity of atopic dermatitis (AD) are investigated.
Cross-sectional data obtained from 367 patients with active AD (age ≥12 years) were analyzed.
Among the participants, mild disease (EASI ≤7) was recorded in 177 (48.2%), moderate disease (EASI >7 and ≤ 21) in 120 (32.7%), and severe disease (EASI >21) in 70 (19.1%) patients.
Increased probability of severe AD was observed in significant correlation with the following factors: age between 12 and 21 years or older than 52 years, age at AD onset older than 12 years, total serum immunoglobulin E level greater than 1,708 IU/mL, eosinophil values greater than 6.8%, atopic stigmata (cheilitis, white dermographism), male gender, sports less than once per week, (former) smoking, and alopecia areata.
These phenotypic characteristics and patient age frames may aid in attaining a deeper insight into the disease, estimation of severity probability, closer monitoring of predisposed patients, and personalized prevention and therapy.
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