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Published on: November 10, 2017
Cholesterol variability and the risk of mortality, myocardial infarction, and stroke: a nationwide population-based
Mee Kyoung Kim1, Kyungdo Han2, Hun-Sung Kim3,4
1Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, #10, 63-ro, Yeongdeungpo-gu, 07345 Seoul, Korea.
Insights
High cholesterol variability is linked to increased risk of death, heart attack, and stroke in the general population. This finding highlights cholesterol variability as a significant independent risk factor for adverse cardiovascular events.
Area of Science:
- Cardiovascular Medicine
- Public Health
- Biostatistics
Background:
- Visit-to-visit variability in cholesterol levels is a potential predictor of adverse cardiovascular events in patients with coronary artery disease.
- The association between cholesterol variability and health outcomes in the general population remains largely unknown.
Purpose of the Study:
- To investigate the association between total cholesterol (TC) variability and the risk of all-cause mortality, myocardial infarction (MI), and stroke in the general population.
Main Methods:
- Utilized data from 3,656,648 subjects in the Korean National Health Insurance System cohort with at least three health examinations between 2002 and 2007.
- Measured total cholesterol variability using coefficient of variation (CV), standard deviation (SD), and variability independent of the mean (VIM).
- Followed subjects for a median of 8.3 years to record outcomes of all-cause mortality, MI, and stroke.
Main Results:
- A linear association was observed between higher TC variability and increased risk of all-cause mortality, MI, and stroke.
- The highest quartile of TC variability (CV) was associated with a 1.26-fold increased risk of all-cause mortality, 1.08-fold for MI, and 1.11-fold for stroke, independent of mean TC levels and lipid-lowering medication use.
- Results remained consistent across different variability measures (SD, VIM) and sensitivity analyses.
Conclusions:
- High variability in lipid levels, specifically total cholesterol, is associated with adverse health outcomes in the general population.
- Cholesterol variability should be considered an important risk factor for cardiovascular events and mortality.
Aims:
A high visit-to-visit variability in cholesterol levels has been suggested to be an independent predictor of major adverse cardiovascular events in patients with coronary artery disease (CAD). Because whether this notion applies to general population is not known, we aimed to investigate the associations between total cholesterol (TC) variability and the risk of all-cause mortality, myocardial infarction (MI), and stroke.
Methods And Results:
We identified 3 656 648 subjects without a history of MI and stroke who underwent ≥3 health examinations from 2002 to 2007 in the Korean National Health Insurance System cohort. Total cholesterol variability was measured using the coefficient of variation (CV), standard deviation (SD), and variability independent of the mean (VIM). There were 84 625 deaths (2.3%), 40 991 cases of MI (1.1%), and 42 861 cases of stroke (1.2%) during the median follow-up of 8.3 years. There was a linear association between higher TC variability and outcome measures. In the multivariable adjusted model, the hazard ratios and 95% confidence intervals comparing the highest vs. lowest quartiles of CV of TC were 1.26 (1.24-1.28) for all-cause mortality, 1.08 (1.05-1.11) for MI, and 1.11 (1.08-1.14) for stroke, which was independent of mean TC levels and the use of lipid-lowering agents. The results were consistent when modelling variability of TC using SD and VIM, and in various sensitivity analyses.
Conclusion:
High variability in lipid levels is associated with adverse health-related outcomes. These findings suggest that lipid variability is an important risk factor in the general population.
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