Atopic dermatitis trajectories to age 8 years in the GUSTO cohort,Clinical & Experimental Allergy

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Atopic dermatitis trajectories to age 8 years in the GUSTO cohort
Clinical & Experimental Allergy ( IF 6.3 ) Pub Date : 2021-07-26 , DOI: 10.1111/cea.13993
Noor H A Suaini ₁ , Gaik Chin Yap ₂ , Do Phuong Tung Bui ₃ , Evelyn Xiu Ling Loo _{1,

2} , Anne Eng Neo Goh ₄ , Oon Hoe Teoh ₅ , Kok Hian Tan ₆ , Keith M Godfrey _{7,

8} , Bee Wah Lee ₂ , Lynette Pei-Chi Shek _{2,

9} , Hugo Van Bever _{2,

9} , Yap Seng Chong _{1,

10} , Elizabeth Huiwen Tham _{1,

2,

9,

11}

Affiliation

Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore (NUS), Singapore, Singapore.
Department of Architecture, School of Design and Environment, National University of Singapore (NUS), Singapore, Singapore.
Allergy Service, Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore, Singapore.
Respiratory Service, Department of Paediatrics, KK Women's and Children's Hospital (KKH), Singapore, Singapore.
Department of Maternal Fetal Medicine, KK Women's and Children's Hospital (KKH), Singapore, Singapore.
NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK.
Medical Research Council Lifecourse Epidemiology Unit, Southampton, UK.
Khoo Teck Puat-National University Children's Medical Institute, National University Health System (NUHS), Singapore, Singapore.
Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore (NUS), National University Health System (NUHS, Singapore, Singapore.
Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

The heterogeneity of childhood atopic dermatitis (AD) underscores the need to understand latent phenotypes that may inform risk stratification and disease prognostication.

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