A method for reporting and classifying XXXX in a prospective study of young @entity1 : TEDDY.

@entity1 @entity697 @entity6 @entity344 @entity281 @entity1723 @entity166
BACKGROUND: Early childhood environmental exposures, possibly @entity281 , may be responsible for triggering islet autoimmunity and progression to @entity1723 ( @entity1723 ). The Environmental Determinants of @entity6 in the Young (TEDDY) follows @entity1 with increased HLA-related genetic risk for future @entity1723 . TEDDY asks parents to prospectively record the @entity1 's @entity281 using a diary book. The present paper shows how these large amounts of partially structured data were reduced into quantitative data-sets and further categorized into system-specific @entity166 . The numbers and frequencies of @entity697 and @entity166 episodes are shown. METHODS: Study subjects (n   =   3463) included @entity1 who had attended study visits every three months from age 3  months to 4  years, without missing two or more consecutive visits during the follow-up. Parents recorded illnesses prospectively in a TEDDY Book at home. The data were entered into the study database during study visits using ICD-10 codes by a research nurse. TEDDY investigators grouped ICD-10 codes and fever reports into @entity166 entities and further arranged them into four main categories of @entity166 episodes: respiratory, gastrointestinal, other, and unknown febrile episodes. Incidence rate of @entity281 was modeled as function of gender, HLA-DQ genetic risk group and study center using the Poisson regression. RESULTS: A total of 113,884 ICD-10 code reports for @entity166 recorded in the database were reduced to 71,578 @entity166 episodes, including 74.0% respiratory, 13.1% gastrointestinal, 5.7% other @entity166 episodes and 7.2% febrile episodes. Respiratory and @entity344 episodes were more frequent during winter. @entity166 peaked at 6  months and began declining after 18  months of age. The overall @entity166 episode rate was 5.2 episodes per @entity1 -year and varied significantly by country of residence, sex and HLA genotype. CONCLUSIONS: The data reduction and categorization process developed by TEDDY enables analysis of single @entity166 agents as well as larger arrays of @entity166 agents or clinical disease entities. The preliminary descriptive analyses of the incidence of @entity281 among TEDDY @entity1 younger than 4  years fits well with general knowledge of @entity166 . This protocol can be used as a template in forthcoming time-dependent TEDDY analyses and in other epidemiological studies.
