Simplifying prediction of disease progression in pre-symptomatic type 1 diabetes using a single blood sample.

ABSTRACT:

Aims/hypothesis

Accurate prediction of disease progression in individuals with pre-symptomatic type 1 diabetes has potential to prevent ketoacidosis and accelerate development of disease-modifying therapies. Current tools for predicting risk require multiple blood samples taken during an OGTT. Our aim was to develop and validate a simpler tool based on a single blood draw.

Methods

Models to predict disease progression using a single OGTT time point (0, 30, 60, 90 or 120 min) were developed using TrialNet data collected from relatives with type 1 diabetes and validated in independent populations at high genetic risk of type 1 diabetes (TrialNet, Diabetes Prevention Trial-Type 1, The Environmental Determinants of Diabetes in the Young [1]) and in a general population of Bavari

SUBMITTER: Bediaga NG 

PROVIDER: S-EPMC8494707 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature