Heterogeneity of glycaemic phenotypes in type 1 diabetes.

ABSTRACT:

Aims/hypothesis

Our study aims to uncover glycaemic phenotype heterogeneity in type 1 diabetes.

Methods

In the Study of the French-speaking Society of Type 1 Diabetes (SFDT1), we characterised glycaemic heterogeneity thanks to a set of complementary metrics: HbA_1c, time in range (TIR), time below range (TBR), CV, Gold score and glycaemia risk index (GRI). Applying the Discriminative Dimensionality Reduction with Trees (DDRTree) algorithm, we created a phenotypic tree, i.e. a 2D visual mapping. We also carried out a clustering analysis for comparison.

Results

We included 618 participants with type 1 diabetes (52.9% men, mean age 40.6 years [SD 14.1]). Our phenotypic tree identified seven glycaemic phenotypes. The 2D phenotypic tree comprised a main branch in

SUBMITTER: Fagherazzi G 

PROVIDER: S-EPMC11343912 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature