Association between insulin resistance and risk of atrial fibrillation in non-diabetics

Eur J Prev Cardiol. 2020 Dec;27(18):1934-1941. doi: 10.1177/2047487320908706. Epub 2020 Mar 2.

Abstract

Aims: Previous studies from Western countries have been unable to demonstrate a relationship between insulin resistance and new-onset atrial fibrillation. We aimed to evaluate this relationship in the nondiabetic Asian population.

Methods: Between 2001-2003, 8175 adults (mean age 51.5 years, 53% women) without both existing atrial fibrillation and diabetes and with insulin resistance measures at baseline were enrolled and were followed by biennial electrocardiograms thereafter until 2014. We constructed multivariable-adjusted Cox proportional hazard models for risk of incident atrial fibrillation.

Results: Over a median follow-up of 12.3 years, 136 participants (1.89/1000 person-years) developed atrial fibrillation. Higher homeostasis model assessment of insulin resistance (HOMA-IR) was independently associated with newly developed atrial fibrillation (hazard ratio 1.61, 95% confidence interval 1.14-2.28). Atrial fibrillation development increased at the HOMA-IR levels approximately between 1-2.5, and then plateaued afterwards (p = 0.031).

Conclusion: There is a significant relationship between insulin resistance and atrial fibrillation development independent of other known risk factors, including obesity in a nondiabetic Asian population.

Keywords: Insulin resistance; atrial fibrillation; epidemiology; obesity.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Atrial Fibrillation / blood
  • Atrial Fibrillation / epidemiology
  • Atrial Fibrillation / etiology*
  • Biomarkers / blood
  • Blood Glucose / metabolism*
  • Diabetes Mellitus
  • Female
  • Follow-Up Studies
  • Humans
  • Incidence
  • Insulin / blood*
  • Insulin Resistance
  • Male
  • Middle Aged
  • Obesity / complications
  • Obesity / epidemiology
  • Republic of Korea / epidemiology
  • Retrospective Studies
  • Risk Assessment / methods*
  • Risk Factors

Substances

  • Biomarkers
  • Blood Glucose
  • Insulin