Ontology highlight
ABSTRACT: Background
The heterogeneity of childhood atopic dermatitis (AD) underscores the need to understand latent phenotypes that may inform risk stratification and disease prognostication.Objective
To identify AD trajectories across the first 8 years of life and investigate risk factors associated with each trajectory and their relationships with other comorbidities.Methods
Data were collected prospectively from 1152 mother-offspring dyads in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort from ages 3 months to 8 years. AD was defined based on parent-reported doctor's diagnosis. An unsupervised machine learning technique was used to determine AD trajectories.Results
Three AD trajectories were identified as follows: early-onset transient (6.3%),
SUBMITTER: Suaini NHA
PROVIDER: S-EPMC7611621 | biostudies-literature | 2021 Sep
REPOSITORIES: biostudies-literature