Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study.

ABSTRACT:

Aims

The onset of clinical type 1 diabetes (T1D) is preceded by the occurrence of disease-specific autoantibodies. The level of autoantibody titers is known to be associated with progression time from the first emergence of autoantibodies to the onset of clinical symptoms, but detailed analyses of this complex relationship are lacking. We aimed to fill this gap by applying advanced statistical models.

Methods

We investigated data of 613 children from the prospective TEDDY study who were persistent positive for IAA, GADA and/or IA2A autoantibodies. We used a novel approach of Bayesian joint modeling of longitudinal and survival data to assess the potentially time- and covariate-dependent association between the longitudinal autoantibody titers and progression time to T1D.

SUBMITTER: Kohler M 

PROVIDER: S-EPMC5645259 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature