Development and Validation of an Algorithm to Accurately Identify Atopic Eczema Patients in Primary Care Electronic Health Records from the UK  Katrina.

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Development and Validation of an Algorithm to Accurately Identify Atopic Eczema Patients in Primary Care Electronic Health Records from the UK  Katrina Abuabara, Alexa M. Magyari, Ole Hoffstad, Zarif K. Jabbar-Lopez, Liam Smeeth, Hywel C. Williams, Joel M. Gelfand, David J. Margolis, Sinead M. Langan  Journal of Investigative Dermatology  Volume 137, Issue 8, Pages 1655-1662 (August 2017) DOI: 10.1016/j.jid.2017.03.029 Copyright © 2017 The Authors Terms and Conditions

Figure 1 Flow chart showing the sampling of patients from THIN and resulting classification. ∗Any of the five most commonly used Read codes (atopic dermatitis/eczema M111.00, infantile eczema M112.00, flexural eczema M113.00, allergic/intrinsic eczema M114.00, or eczema not otherwise specified M12z100). ∗∗Any code for topical emollients, topical steroids, topical calcineurin inhibitors, topical anti-infective treatments, systemic immunomodulatory medications (including methotrexate, azathioprine, mycophenolate, cyclosporine, or biologics) or phototherapy on separate days; see Supplementary Table S2). AIS, Additional Information Services; THIN, The Health Improvement Network. Journal of Investigative Dermatology 2017 137, 1655-1662DOI: (10.1016/j.jid.2017.03.029) Copyright © 2017 The Authors Terms and Conditions