Metabolic features of patients with and without coronary heart disease but with a superimposable cluster of cardiovascular risk factors.

BACKGROUND: Many studies have shown a significant association between the magnitude of insulin resistance and the plasma insulin levels in non-diabetic patients. It has also been shown that all major cardiovascular risk factors are associated with the presence of hyperinsulinemia or insulin resistance. However, studies have not addressed the possible metabolic differences in insulin action that can occur in patients with and without coronary heart disease (CHD) but with a superimposable cluster of risk factors. METHODS: Three groups of patients matched for age, sex, and lean body mass, but different in their absence of risk factors (group A; n = 8), presence of risk factors but no clinical and electrocardiographic signs of CHD (group B; n = 12), and the presence of risk factors, family history of CHD, and clinical and electrocardiographic signs of CHD (group C; n = 14) volunteered for the study. Patients in groups B and C were also matched for main risk factors. All patients were submitted to a euglycemic hyperinsulinemic glucose clamp during which a an infusion of 3H-glucose and indirect calorimetry facilitated the determination of glucose turnover parameters and substrate oxidation. RESULTS: Patients with CHD (group C) had the highest fasting plasma insulin levels (98 +/- 13 pmol/l) compared with patients in group B (86 +/- 4 pmol/l; P < 0.05) and in group A (63 +/- 4 pmol/l; P < 0.05) and the lowest insulin-mediated stimulation in non-oxidative glucose metabolism. Fasting lipid oxidation was similar in the three groups, but a stronger insulin-mediated inhibition in the control patients (group A) was found. Multiple regression analysis of the pooled data from the patients in groups B and C (n = 26) demonstrated that all risk factors considered correlated (t = 1.58, P < 0.04) with total body glucose disposal (TBGD) and accounted for 77% of the variability in TBGD. Furthermore, a separate analysis for groups B and C demonstrated a different contribution of all risk factors (89% and 65% for groups B and C, respectively) to the variability in TBGD. In group C patients, a multiple logistic regression analysis encompassing all risk factors studied, but also the family history of CHD, explained 92% of the variability in TBGD. CONCLUSION: In patients with and without CHD but with similar risk factors, a significant reduction in non-oxidative glucose metabolism occurs; nevertheless, such impaired glucose handling seems to be worsened in the presence of CHD. Further studies will be needed to determine the cause of such differences.