Relationship between dynamic changes in remnant cholesterol and cardiovascular disease in middle-aged and older

Bin Zhang1, Dengfeng Ma1, Zhiqiang Pei2

  • 1Department of Cardiology, Taiyuan City Central Hospital, Ninth Clinical Medical College of Shanxi Medical University, Taiyuan, China.

Insights

Elevated remnant cholesterol (RC) dynamically increases cardiovascular disease (CVD) risk in older Chinese adults. Monitoring RC changes is crucial for CVD prevention in this population.

Area of Science:

  • Cardiovascular Medicine
  • Lipid Metabolism
  • Public Health

Background:

  • Elevated basal remnant cholesterol (RC) is a known risk factor for cardiovascular disease (CVD).
  • The dynamic changes in RC and their association with CVD risk remain incompletely understood, particularly in diverse populations.

Purpose of the Study:

  • To investigate the relationship between dynamic changes in remnant cholesterol (RC) levels and the occurrence of cardiovascular disease (CVD).
  • To assess the predictive value of RC dynamics for CVD risk in middle-aged and elderly Chinese individuals.

Main Methods:

  • A cohort study utilizing data from the China Health and Retirement Longitudinal Study (CHARLS) (2011 and 2015).
  • Included 4,431 participants aged ≥45 years with complete RC and CVD data.
  • K-means cluster analysis categorized RC changes; logistic regression and ROC curves analyzed CVD risk associations.

Main Results:

  • A linear association was observed between baseline RC and CVD.
  • Participants in Cluster 3 (higher RC increase) showed significantly increased CVD risk (OR=1.69) compared to Cluster 1.
  • Higher CVD risk was noted in participants with baseline renal disease (OR=15.34) and an interaction between RC change and BMI.

Conclusions:

  • Dynamically increasing remnant cholesterol (RC) levels are a significant predictor of elevated cardiovascular disease (CVD) risk.
  • Continuous monitoring of RC level fluctuations is recommended for effective CVD risk reduction strategies in middle-aged and elderly Chinese populations.
Abstract

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