Do static and dynamic insulin resistance indices perform similarly in predicting pre-diabetes and type 2 diabetes?

ABSTRACT:

Aims

We designed a study to compare the predictive power of static and dynamic insulin resistance indices for categorized pre-diabetes (PDM)/type 2 diabetes (DM).

Methods

Participants included 1134 adults aged 18-60 years old with normal glucose at baseline who completed both baseline and 6-years later follow-up surveys. Insulin resistance indices from baseline data were used to predict risk of PDM or DM at follow-up. Two static indices and two dynamic indices were calculated from oral glucose tolerance test results (OGTT) at baseline. Area under the receiver operating characteristic curve (AROC) analysis was used to estimate the predictive ability of candidate indices to predict PDM/DM. A general estimation equation (GEE) model was applied to assess the magnitude of associa

SUBMITTER: Liu R 

PROVIDER: S-EPMC4138243 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature