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Patients with atopic dermatitis (AD) have low treatment satisfaction. In this study, we evaluated the humanistic burden, treatment satisfaction, and treatment expectations in patients with AD in the United States. Adults with AD recruited through the National Eczema Association and clinical sites completed a web-based survey comprising the Patient-Oriented SCORing Atopic Dermatitis (PO-SCORAD), Dermatology Life Quality Index; Work Productivity and Activity Impairment Questionnaire-Atopic Dermatitis; Treatment Satisfaction Questionnaire for Medication (TSQM); and answered questions on healthcare provider (HCP) visits, treatment history, and treatment goals. Descriptive analyses were performed to compare participants by severity. Among 186 participants (mean [standard deviation] age 39.7 [15.3] years, 79.6% female), 26.9%, 44.6%, and 26.3% of the participants had mild, moderate, or severe AD, respectively, based on PO-SCORAD. Greater disease severity was associated with a greater impact on work and daily life, decreased TSQM scores, and increased HCP visits. Corticosteroid topical cream or ointment (53.8%) and oral antihistamines (31.2%) were most commonly used for the treatment of AD. Participants reported declining/stopping/changing AD treatment due to the potential for side effects or lack of efficacy. 'Leading normal lives' (28.0%) and 'being itch-free' (33.9%) were important treatment goals. Individuals with AD, especially severe disease, face a considerable humanistic burden even while using treatment. [ABSTRACT FROM AUTHOR]

Atopic Dermatitis (AD) is a chronic, inflammatory skin condition that imposes an enormous personal and economic burden in the United States. Due to the ubiquity of the use of electronic medical records (EMR) in the United States, utilizing such data is critically important to studying common dermatologic diseases, such as AD. Our goal was to create a simple-to-use algorithm applied to EMR data to accurately identify AD patients thereby making it possible to efficiently use EMR data to ascertain and then study individuals with AD. Our results suggest that the algorithm that is most likely to accurately identify AD patients from the EMR based on PPV utilizes ICD-10 code for L20.89, L20.9, or L20.84 in conjunction with a diagnosis code for asthma or allergic rhinitis, treatment code, and dermatology consult code. This approach yields a PPV of 95.00% in our training cohort and 100.00% in our validation cohort. Therefore, future studies can use this algorithm to better assure that a subject has AD for studies of the pathogenesis and/or potential treatment targets of AD. [ABSTRACT FROM AUTHOR]