Ultrasound-assessed visceral fat and associations with glucose homeostasis and cardiovascular risk in clinical practice

Nutr Metab Cardiovasc Dis. 2018 Jun;28(6):610-617. doi: 10.1016/j.numecd.2018.01.006. Epub 2018 Feb 2.

Abstract

Background and aims: Despite the lack of evidence that assessing the global cardiovascular risk leads to a decreased incidence of cardiovascular events, accurate patient profiling is paramount in preventive medicine. An excess of visceral fat (VF) is associated with an enhanced cardiovascular risk; importantly, VF is quantifiable rapidly, cheaply and safely by ultrasound, which makes it suitable for use in clinical practice. In the present study, we aimed to evaluate if US-measured VF (USVF) could be a better predictor of glucose homeostasis and cardiovascular risk than simple anthropometric measures.

Methods and results: One-hundred sixty-two patients attending a Metabolic Disorders Clinic underwent a cross-sectional study for which USVF, anthropometric measures, a standard oral glucose tolerance test (OGTT), and calculation of cardiovascular Framingham score and vascular age were obtained. USVF was directly correlated with fasting and 2-h plasma glucose (respectively: r = 0.26, p < 0.001; r = 0.28, p < 0.0001), fasting and 2-h plasma insulin (for both: r = 0.41, p < 0.0001), homeostatic model assessment of insulin resistance (HOMA-IR; r = 0.42, p < 0.0001), cardiovascular Framingham score (r = 0.44 p < 0.0001) and vascular age (r = 0.30 p < 0.001). In receiver operator characteristic curves USVF had good diagnostic abilities for type 2 diabetes mellitus, fatty liver and metabolic syndrome, in both genders. At multivariate analysis, body mass index (BMI) outperformed USVF in the prediction of HOMA-IR; neverthless, USVF, not BMI, was an independent predictor of cardiovascular risk. Finally, models including USVF were the most parssimonious to predict Framingham score, vascular age and HOMA-IR.

Conclusion: In overweight and obese subjects, USVF could usefully complement other parameters for cardiovascular risk stratification.

Keywords: Cardiovascular risk; Diabetes mellitus; Metabolic syndrome; Oral glucose tolerance test; Visceral fat.

Publication types

  • Comparative Study

MeSH terms

  • Adiposity
  • Aged
  • Anthropometry
  • Biomarkers / blood
  • Blood Glucose / metabolism*
  • Body Mass Index
  • Cardiovascular Diseases / diagnosis
  • Cardiovascular Diseases / etiology*
  • Cross-Sectional Studies
  • Female
  • Glucose Metabolism Disorders / blood*
  • Glucose Metabolism Disorders / complications
  • Glucose Metabolism Disorders / diagnosis
  • Glucose Tolerance Test
  • Homeostasis
  • Humans
  • Intra-Abdominal Fat / diagnostic imaging*
  • Intra-Abdominal Fat / physiopathology
  • Male
  • Metabolic Syndrome / blood*
  • Metabolic Syndrome / complications
  • Metabolic Syndrome / diagnostic imaging*
  • Metabolic Syndrome / physiopathology
  • Middle Aged
  • Obesity / complications
  • Obesity / diagnostic imaging*
  • Obesity / physiopathology
  • Predictive Value of Tests
  • Prognosis
  • Prospective Studies
  • Risk Assessment
  • Risk Factors
  • Ultrasonography*

Substances

  • Biomarkers
  • Blood Glucose