Trajectories of Lipids Profile and Incident Cardiovascular Disease Risk: A Longitudinal Cohort Study

Alimu Dayimu1, Chunxia Wang2, Jiangbing Li3

  • 1Department of Biostatistics School of Public Health Shandong University Jinan China.

Insights

Understanding lipid profile trajectories is key for cardiovascular disease (CVD) risk. This study reveals that specific lipid level changes over time significantly impact CVD incidence, especially between ages 20 and 42.

Area of Science:

  • Cardiovascular Health
  • Lipid Metabolism
  • Longitudinal Data Analysis

Background:

  • Established links between LDL cholesterol, HDL cholesterol, triglycerides, and cardiovascular disease (CVD).
  • Lack of prior research on joint longitudinal trajectories of these lipids.
  • Need to understand how combined lipid profiles evolve and influence CVD risk.

Purpose of the Study:

  • To characterize joint longitudinal trajectories of lipid profiles (LDL, HDL, triglycerides).
  • To investigate the impact of these distinct lipid trajectories on incident CVD.
  • To identify critical age periods for CVD risk related to lipid profiles.

Main Methods:

  • Utilized a multivariate latent class growth mixture model on data from 9726 participants (20-58 years) with 3-9 repeated lipid measurements.
  • Identified three distinct lipid trajectory classes: inverse U-shape, progressing, and U-shape.
  • Calculated area under the curve (AUC) and analyzed model-estimated lipid levels and slopes over time.

Main Results:

  • Three lipid trajectories identified: inverse U-shape (18.72%), progressing (66.03%), and U-shape (15.25%).
  • Progressing and inverse U-shape trajectories were associated with significantly higher CVD risk (HR 1.33 and 1.49, respectively) compared to the U-shape.
  • Lipid profile AUC and slopes showed significant associations with CVD risk; risk increased notably between ages 20-40.

Conclusions:

  • Lipid profile trajectories significantly influence cardiovascular disease risk.
  • The period between ages 20 and 42 is critical for CVD incidence related to lipid changes.
  • Findings support the importance of early lipid monitoring and intervention strategies.

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