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The Predictive Value of Atherogenic Index of Plasma in the Prediction of Cardiovascular Events; a Fifteen-Year Cohort Study Publisher Pubmed



Sadeghi M1 ; Heshmatghahdarijani K2 ; Talaei M3 ; Safaei A4 ; Sarrafzadegan N4 ; Roohafza H1
Authors
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Authors Affiliations
  1. 1. Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
  3. 3. Institute of Population Health Sciences, Barts and the London School of Medicine, Queen Mary University of London, United Kingdom
  4. 4. Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran

Source: Advances in Medical Sciences Published:2021


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, 95%CI: 1.33–1.85); similar remarkable associations were achieved by controlling age and sex (OR: 1.55, 95%CI: 1.31–1.83), sociodemographic factors (OR: 1.51, 95%CI: 1.29–1.79), sociodemographic plus lifestyle factors (OR: 1.54, 95%CI: 1.30–1.81) and sociodemographic, lifestyle and the traditional CVE-related factors (OR: 1.28, 95%CI: 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. © 2021 Medical University of Bialystok
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