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Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies.

På svenska

Author

  • Valeriya Lyssenko
  • Torben Jørgensen
  • Robert W Gerwien
  • Torben Hansen
  • Michael W Rowe
  • Michael P McKenna
  • Janice Kolberg
  • Oluf Pedersen
  • Knut Borch-Johnsen
  • Leif Groop

Summary, in English

Purpose: To assess performance of a biomarker-based score that predicts the five-year risk of diabetes (Diabetes Risk Score, DRS) in an independent cohort that included 15-year follow-up. Method: DRS was developed on the Inter99 cohort, and validated on the Botnia cohort. Performance was benchmarked against other risk-assessment tools comparing calibration, time to event analysis, and net reclassification. Results: The area under the receiver-operating characteristic curve (AUC) was 0.84 for the Inter99 cohort and 0.78 for the Botnia cohort. In the Botnia cohort, DRS provided better discrimination than fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance, oral glucose tolerance test or risk scores derived from Framingham or San Antonio Study cohorts. Overall reclassification with DRS was significantly better than using FPG and glucose tolerance status (p < 0.0001). In time to event analysis, rates of conversion to diabetes in low, moderate, and high DRS groups were significantly different (p < 0.001). Conclusion: This study validates DRS performance in an independent population, and provides a more accurate assessment of T2DM risk than other methods.

Publishing year

2012

Language

English

Pages

59-67

Publication/Series

Diabetes & Vascular Disease Research

Volume

9

Document type

Journal article

Publisher

SAGE Publications

Topic

  • Endocrinology and Diabetes

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Other

  • ISSN: 1752-8984