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Published on: October 12, 2017
Improving the prediction of cardiovascular risk: interaction between LDL and HDL cholesterol
Steven A Grover1, Marc Dorais, Louis Coupal
1Centre for the Analysis of Cost-Effective Care, The Montreal General Hospital, Quebec, Canada. steven.grover@mcgill.ca
Insights
The ratio of low-density lipoprotein (LDL) to high-density lipoprotein (HDL) cholesterol may not fully predict coronary risk. Analyzing the interaction between LDL and HDL levels offers a more accurate assessment of cardiovascular event risk.
Area of Science:
- Cardiovascular disease research
- Lipid metabolism and cardiovascular health
Background:
- Current guidelines advocate using cholesterol ratios to estimate coronary risk.
- The ratio of total cholesterol to HDL or LDL to HDL is commonly used.
Purpose of the Study:
- To analyze the relationship between LDL and HDL cholesterol levels in predicting future coronary events.
- To compare the predictive power of the LDL/HDL ratio against the independent effects and interaction of LDL and HDL.
Main Methods:
- Utilized data from the Lipid Research Clinics Follow-up Cohort (4684 participants, ~12 years follow-up).
- Developed multivariate equations to predict coronary deaths.
- Compared predictive models including LDL/HDL ratio, independent LDL/HDL effects, and LDL-HDL interaction term.
- Forecasted 10-year coronary death risk based on lipid levels and conventional risk factors.
Main Results:
- LDL and HDL levels, along with their interaction, are independent risk factors for coronary death.
- Benefits of HDL increase are most significant in individuals with high LDL.
- Benefits of LDL decrease are greatest in individuals with low HDL.
- Models incorporating LDL-HDL interaction provided more accurate treatment benefit predictions.
Conclusions:
- The LDL/HDL ratio alone may not fully represent the complex interplay between LDL and HDL.
- A comprehensive assessment considering the interaction of LDL and HDL is crucial for accurate coronary risk prediction.
Background:
The ratio of total cholesterol to high-density lipoprotein (HDL) cholesterol (or the ratio of low-density lipoprotein [LDL] to HDL) is currently advocated to estimate the coronary risk associated with LDL and HDL cholesterol levels.
Methods:
We analyzed the relation between LDL and HDL cholesterol levels to predict the risk of future coronary events. Using data from the Lipid Research Clinics Follow-up Cohort, we developed multivariate equations to predict coronary deaths among 4684 men and women followed for approximately 12 years. We used these equations to compare the predictive power of the LDL/HDL ratio with the independent effects of LDL and HDL and an LDL-HDL interaction term. We then used each model to forecast the 10-year risk of coronary death based on various lipid levels after adjustment for conventional risk factors (eg, blood pressure, gender, cigarette smoking).
Results:
Levels of LDL and HDL and the interaction between them are all independent risk factors for coronary death. The benefits of increasing HDL are strongest among persons with high LDL. Conversely, the benefits of decreasing LDL are greatest among those with low HDL. We confirmed these observations in a published dataset showing the effects of treatment of hyperlipidemia. Predictions of benefits of treatment that were based on interaction of LDL and HDL were more accurate than predictions without interaction.
Conclusions:
The LDL/HDL ratio alone may not fully capture the complex interaction between LDL and HDL and the relation of each to coronary risk.
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