Introduction of the Reliable Estimation of Atopic Dermatitis in ChildHood: Novel, Diagnostic Criteria for Childhood Atopic Dermatitis.

Introduction of the Reliable Estimation of Atopic Dermatitis in ChildHood: Novel, Diagnostic Criteria for Childhood Atopic Dermatitis.

Allergy Asthma Immunol Res. 2016 May;8(3):230-238

Authors: Lee SC, Bae JM, Lee HJ, Kim HJ, Kim BS, Li K, Cho JW, Park CO, Cho SH, Lee KH, Kim DW, Park CW, Kim KH, Korean Atopic Dermatitis Association's Atopic Dermatitis Criteria Group

Abstract
PURPOSE: Questionnaire-based diagnostic criteria for atopic dermatitis (AD) have been proposed to detect the major group of AD with flexural dermatitis. We aimed to develop novel, questionnaire-based diagnostic criteria for childhood AD, which can detect more comprehensive AD including non-flexural type.
METHODS: The draft version of questionnaire to detect childhood AD was prepared to be used for preliminary hospital- (n=1,756) and community-based (n=1,320) surveys. From analysis, the Reliable Estimation of Atopic dermatitis of ChildHood (REACH) was derived and verified in derivation (n=1,129) and validation (n=1,191) sets by community-based surveys.
RESULTS: The REACH consists of 11 questions including 2 major and 9 minor criteria. AD is diagnosed as the major group of 'eczema on the antecubital or popliteal fossa' to fulfill the 2 major criteria (2M), and the minor group of 'eczema on the non-antecubital or popliteal fossa' to fulfill the 1 major plus 4 or more minor criteria (1M+4m). In the validation set, the overall 1-year AD prevalence by the REACH was estimated as 12.3% (95% CI, 10.5%-14.2%), and the REACH showed a sensitivity of 75.2%, a specificity of 96.1%, and an error rate of 6.4%. The REACH demonstrated better diagnostic performance than the ISAAC in terms of the number of misclassification (10.0%).
CONCLUSIONS: We propose the REACH as new full, questionnaire-based diagnostic criteria for childhood AD in epidemiological surveys. Further studies are warranted to validate the REACH in different populations or countries in the context of large-scale, epidemiological surveys.

PMID: 26922933 [PubMed - as supplied by publisher]

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