Prognostic value of atherogenic index of plasma in patients with type 2 diabetes and acute coronary syndrome
Abstract Background: Atherogenic index of plasm (AIP) has been identified as a risk factor for cardiovascular disease (CVD) and an independent predictor of mortality. However, it remains unknown whether AIP level may predict mortality in patients with diabetes and acute coronary syndrome (ACS). Methods: A total of 2531 consecutive patients with type 2 diabetes who underwent coronary angiography for ACS were enrolled in the study. Patients were divided into tertiles according to admission AIP level. The AIP was calculated as the base 10 logarithm of the ratio of the fating concentration of triglyceride (TG) to high-density lipoprotein-cholesterol (HDL-C). The primary endpoints were all-cause death and cardiovascular death. Multivariate cox hazard regression analysis were performed to calculate the hazard ratio(HR)and 95%confidence interval(CI).C-statistics, continuous net reclassification improvement(NRI),and integrated discrimination improvement(IDI) were calculated to evaluate the added prognostic value of AIP beyond the established mode for prediction of death.Results: During 3-year follow-up, all-cause death events occurred in 142 cases and cardiovascular death events occurred in 120 cases, respectively. The risk of all-cause death and cardiovascular death increased with AIP tertiles at a 3-year follow-up. The Kaplan-Meier curves showed that significant differences in event-free survival rates among AIP tertiles(all-cause mortality: p=0.006; cardiovascular mortality: p=0.003).Multivariate cox hazard regression analysis revealed that AIP was independently associated with all-cause death (HR: 3.859, 95% CI:1.926-7.734; p<0.001) and cardiovascular death (HR:4.723, 95% CI: 2.243-9.946; p<0.001). Addition of AIP to the established mode for mortality prediction was not associated with a significant improvement in the C-statistics value but there were significant improvements in reclassification for all-cause death (NRI: 0.198, p=0.022; IDI: 0.008, p=0.016) and cardiovascular death (NRI: 0.260, p=0.006; IDI: 0.010, p=0.021).Conclusions: Admission AIP was independently correlated with long-term mortality in patients with type 2 diabetes and ACS. These findings suggest that AIP may optimize the mortality prediction among patients with diabetes and ACS.