Development and validation of multivariable clinical diagnostic models to identify type 1 diabetes requiring rapid insulin therapy in adults aged 18-50 years.

ABSTRACT:

Objective

To develop and validate multivariable clinical diagnostic models to assist distinguishing between type 1 and type 2 diabetes in adults aged 18-50.

Design

Multivariable logistic regression analysis was used to develop classification models integrating five pre-specified predictor variables, including clinical features (age of diagnosis, body mass index) and clinical biomarkers (GADA and Islet Antigen 2 islet autoantibodies, Type 1 Diabetes Genetic Risk Score), to identify type 1 diabetes with rapid insulin requirement using data from existing cohorts.

Setting

UK cohorts recruited from primary and secondary care.

Participants

1352 (model development) and 582 (external validation) participants diagnosed with diabetes between the age of 18 and 50 years of

SUBMITTER: Lynam A 

PROVIDER: S-EPMC6773323 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature