Reproducibility of a prediabetes classification in a contemporary population.

Journal Article (Journal Article)

AIMS: To assess whether meeting both fasting plasma glucose (FPG) and HbA1c criteria for prediabetes in people at high risk indicates with near certainty the presence of dysglycemia on repeat testing. METHODS: Observational study using data from Vitamin D and Type 2 Diabetes (D2d) study. HbA1c, FPG were measured at screening visit 1; FPG, HbA1c and 2 h plasma glucose (2hPG) measured at screening visit 2 (a median of 21 days later); participants classified as having normal glucose regulation (all 3 tests in normal range), prediabetes or diabetes (at least 1 of 3 tests in diabetes range). A predictive model was developed to estimate the probability of confirming dysglycemia and for detecting diabetes at screening visit 2 based on values of FPG and HbA1c at screening visit 1. RESULTS: Of 1271 participants who met both FPG and HbA1c criteria for prediabetes at screening visit 1, 98.6% exhibited dysglycemia (defined as prediabetes or diabetes) on repeat testing (84.5% were classified as having prediabetes, 14.1% were reclassified as having diabetes). Of those with diabetes, 62.6% were identified by 2hPG alone. CONCLUSIONS: Combined measurement of FPG and HbA1c is a reliable and reproducible measure to identify presence of dysglycemia among people at high risk. A prediction model is provided to help clinicians decide whether an oral glucose tolerance test will provide value in detecting diabetes based on the 2hPG criterion.

Full Text

Duke Authors

Cited Authors

  • Chadha, C; Pittas, AG; Lary, CW; Knowler, WC; Chatterjee, R; Phillips, LS; Aroda, VR; Lewis, MR; Pratley, R; Staten, MA; Nelson, J; Rasouli, N; Brodsky, I; D2d Research Group,

Published Date

  • June 2020

Published In

  • Metabol Open

Volume / Issue

  • 6 /

Start / End Page

  • 100031 -

PubMed ID

  • 32812912

Pubmed Central ID

  • PMC7424833

Electronic International Standard Serial Number (EISSN)

  • 2589-9368

Digital Object Identifier (DOI)

  • 10.1016/j.metop.2020.100031


  • eng

Conference Location

  • England