Prediction of Cumulative Exposure to Atherogenic Lipids During Early Adulthood

John T. Wilkins*, Hongyan Ning, Norrina B. Allen, Alexander Zheutlin, Nilay S. Shah, Matthew J. Feinstein, Amanda M. Perak, Sadiya S. Khan, Ankeet S. Bhatt, Ravi Shah, Venkatesh Murthy, Allan Sniderman, Donald M. Lloyd-Jones

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Background: The ability of a 1-time measurement of non–high-density lipoprotein cholesterol (non–HDL-C) or low-density lipoprotein cholesterol (LDL-C) to predict the cumulative exposure to these lipids during early adulthood (age 18-40 years) and the associated atherosclerotic cardiovascular disease (ASCVD) risk after age 40 years is not clear. Objectives: The objectives of this study were to evaluate whether a 1-time measurement of non-HDL-C or LDL-C in a young adult can predict cumulative exposure to these lipids during early adulthood, and to quantify the association between cumulative exposure to non-HDL-C or LDL-C during early adulthood and the risk of ASCVD after age 40 years. Methods: We included CARDIA (Coronary Artery Risk Development in Young Adults Study) participants who were free of cardiovascular disease before age 40 years, were not taking lipid-lowering medications, and had ≥3 measurements of LDL-C and non–HDL-C before age 40 years. First, we assessed the ability of a 1-time measurement of LDL-C or non–HDL-C obtained between age 18 and 30 years to predict the quartile of cumulative lipid exposure from ages 18 to 40 years. Second, we assessed the associations between quartiles of cumulative lipid exposure from ages 18 to 40 years with ASCVD events (fatal and nonfatal myocardial infarction and stroke) after age 40 years. Results: Of 4,104 CARDIA participants who had multiple lipid measurements before and after age 30 years, 3,995 participants met our inclusion criteria and were in the final analysis set. A 1-time measure of non–HDL-C and LDL-C had excellent discrimination for predicting membership in the top or bottom quartiles of cumulative exposure (AUC: 0.93 for the 4 models). The absolute values of non–HDL-C and LDL-C that predicted membership in the top quartiles with the highest simultaneous sensitivity and specificity (highest Youden's Index) were >135 mg/dL for non–HDL-C and >118 mg/dL for LDL-C; the values that predicted membership in the bottom quartiles were <107 mg/dL for non–HDL-C and <96 mg/dL for LDL-C. Individuals in the top quartile of non–HDL-C and LDL-C exposure had demographic-adjusted HRs of 4.6 (95% CI: 2.84-7.29) and 4.0 (95% CI: 2.50-6.33) for ASCVD events after age 40 years, respectively, when compared with each bottom quartile. Conclusions: Single measures of non–HDL-C and LDL-C obtained between ages 18 and 30 years are highly predictive of cumulative exposure before age 40 years, which in turn strongly predicts later-life ASCVD events.

Original languageEnglish (US)
Pages (from-to)961-973
Number of pages13
JournalJournal of the American College of Cardiology
Volume84
Issue number11
DOIs
StatePublished - Sep 10 2024

Funding

The CARDIA (Coronary Artery Risk Development in Young Adults Study) is conducted and supported by the National Heart, Lung, and Blood Institute in collaboration with the University of Alabama at Birmingham (75N92023D00002 and 75N92023D00005), Northwestern University (75N92023D00004), University of Minnesota (75N92023D00006), and Kaiser Foundation Research Institute (75N92023D00003). This paper has been reviewed by CARDIA for scientific content.

Keywords

  • ASCVD risk
  • cholesterol
  • determinants
  • life course
  • young adults

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Fingerprint

Dive into the research topics of 'Prediction of Cumulative Exposure to Atherogenic Lipids During Early Adulthood'. Together they form a unique fingerprint.

Cite this