Predictors of Flares and Disease Severity in Patients With Atopic Dermatitis Using Machine Learning

This cohort study found that a higher number of flares was associated with lower quality of life and was identified as a predictor of more severe AD in the following year. These results highlight the relevance of flares in the assessment of severity or disease prognosis and suggest the need for a threshold for an acceptable number of flares in treatment decisions to achieve better disease control and improved quality of life for patients.

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Publication Details

Journal
JAMA Dermatology
Published
2025-07-16
DOI
https://doi.org/10.1001/jamadermatol.2025.2073
Citations
1
Primary Topic
Dermatology and Skin Diseases
Type
article
Field-Weighted Citation Impact
2.00
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article

Predictors of Flares and Disease Severity in Patients With Atopic Dermatitis Using Machine Learning

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1 citations
JAMA Dermatology
Dermatology and Skin Diseases
2.00
article

Predictors of Flares and Disease Severity in Patients With Atopic Dermatitis Using Machine Learning

David Thein, Simon Francis Thomsen, Kristian Gaarn du Jardin, Lea K. Nymand, Ismail Kasujee, Mia‐Louise Nielsen, Arnau Domenech Pena
article en
1 citations

Abstract

This cohort study found that a higher number of flares was associated with lower quality of life and was identified as a predictor of more severe AD in the following year. These results highlight the relevance of flares in the assessment of severity or disease prognosis and suggest the need for a threshold for an acceptable number of flares in treatment decisions to achieve better disease control and improved quality of life for patients.

JAMA DermatologyVol. 161(9)
University of Copenhagen (DK), Bispebjerg Hospital (DK), Copenhagen University Hospital (DK), Almirall (Spain) (ES)
Responsible consumption and production
Openalex Percentile: Top 13%
Dermatology and Skin Diseases
2.00
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