This site is intended for UK healthcare professionals
Medscape UK Univadis Logo
Medscape UK Univadis Logo
Clinical Summary

Lipoprotein insulin resistance index could predict type 2 diabetes development

Takeaway

  • In an extended follow-up study, lipoprotein insulin resistance index (LP-IR), a nuclear magnetic resonance (NMR) spectroscopy-measured biomarker of lipoprotein subclasses was strongly associated with type 2 diabetes mellitus (T2DM) risk in general population.

Why this matters

  • LP-IR could be a clinically useful predictor for T2DM development.

Study design

  • This cross-sectional and prospective analysis of Prevention of Renal and Vascular End Stage Disease (PREVEND) study evaluated 5977 participants (aged 28-75 years) without diabetes.
  • Six lipoprotein particle concentrations and sizes measured by NMR spectroscopy were used to calculate LP-IR scores.
  • Funding: European Union’s Horizon 2020 research and innovation programme.

Key results

  • Close association was observed between LP-IR scores and insulin resistance, assessed by homeostatic model assessment of insulin resistance, r, 0.51; P<.0001).
  • In a median follow-up period of 7.5 years, 278 incident cases of T2DM were ascertained.
  • Elevated LP-IR levels were associated with an increased risk for T2DM (Plog-rank test<.001).
  • After adjusting for age and sex, LP-IR was associated with incident T2DM (HRhighest vs lowest quartile, 10.18; P<.0001).
  • Framingham Offspring (FOS) prediction algorithm significantly improved after addition of LP-IR scores, with a significant improvement of 0.005 (P<.0001):
    • Harrell’s c-index without vs with LP-IR (0.863; 95% CI, 0.863-0.864 vs 0.868; 95% CI, 0.867-0.868).

Limitations

  • Majority of participants were of Caucasian descent.

References


YOU MAY ALSO LIKE