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Determinants of insulin sensitivity in chronic heart failure

L W E Sabelis1, P J Senden, M L Zonderland

  • 1Department of Sports Medicine, University Medical Center Utrecht, Utrecht, The Netherlands. l.w.esabelis@med.uu.nl

European Journal of Heart Failure
|December 17, 2003
PubMed

Insights

Insulin sensitivity in chronic heart failure is significantly influenced by body mass index, smoking, age, and daily physical activity. These factors collectively predict insulin sensitivity in heart failure patients.

Area of Science:

  • Cardiology
  • Metabolic Health
  • Exercise Physiology

Background:

  • Insulin resistance is a common comorbidity in chronic heart failure (CHF).
  • Understanding the determinants of insulin sensitivity (IS) is crucial for managing CHF patients.
  • Lifestyle and clinical factors may significantly impact IS in this population.

Purpose of the Study:

  • To develop a comprehensive model predicting insulin sensitivity (IS) in patients with chronic heart failure (CHF).
  • To investigate the combined influence of lifestyle factors, heart failure etiology, age, left ventricular ejection fraction (LVEF), and body composition on IS.

Main Methods:

  • An observational cohort study was conducted in an outpatient CHF clinic.
  • Fifty-seven male CHF patients (NYHA class II-III) underwent euglycemic hyperinsulinemic clamp, cycle ergometry, anthropometric measurements, and LVEF assessment.
  • A predictive model for IS variance was developed incorporating lifestyle and clinical parameters.

Main Results:

  • Insulin sensitivity (IS) was inversely associated with body mass index (BMI) and fasting insulin levels.
  • After adjusting for BMI, age also showed a significant inverse correlation with IS.
  • The final model explained 60% of the variance in IS, with BMI (20%), smoking (17%), age (17%), and daily physical activity (16%) being major contributors.

Conclusions:

  • Insulin sensitivity in CHF patients is substantially predicted by a combination of factors.
  • Key determinants include body mass index, smoking status, age, and daily physical activity.
  • Left ventricular ejection fraction and heart failure etiology also moderately contribute to predicting insulin sensitivity.
Abstract

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