The predictive value of atherogenic index of plasma in the prediction of cardiovascular events; a fifteen-year cohort study

Abstract

Purpose: Cardiovascular events (CVE) are the most prominent cause of death worldwide. Therefore, achieving a precise affordable index for the prediction of healthy cases at increased risk of CVE in early stages and subsequently lessening the rate of CVE mortality is a critical goal of healthcare systems. We aimed to assess the value of Atherogenic index of plasma (AIP) in the prediction of CVE and mortality through a 15-year cohort study. Materials/methods: This study was conducted on 6323 over 35-year-old healthy adults from 2001 to 2016. The baseline AIP was measured based on the formula of TG to HDL logarithm and divided into three subgroups of low, intermediate, and high risk of CVD, as <0.11, 0.11-0.21, and >0.21, respectively. Eventually, the association of AIP with sociodemographic, lifestyle, traditional CVE-related factors and CVE-induced mortality was evaluated. Results: The multiple cox regression study of AIP values for the prediction of CVE incidence revealed a significant association (OR: 1.57, 95CI: 1.33-1.85); similar remarkable associations were achieved by controlling age and sex (OR: 1.55, 95CI: 1.31-1.83), sociodemographic factors (OR: 1.51, 95CI: 1.29-1.79), sociodemographic plus lifestyle factors (OR: 1.54, 95CI: 1.30-1.81) and sociodemographic, lifestyle and the traditional CVErelated factors (OR: 1.28, 95CI: 1.07-1.54). The Kaplan-Meier survival study showed a significant association between AIP levels and CVE-related mortality (p <0.001). Conclusion: In conclusion, AIP is an independent stand-alone factor for the prediction of developing CVE and its related mortality.