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Published on: June 19, 2019
Visit-to-visit variability of lipid measurements as predictors of cardiovascular events
David D Waters1, Sripal Bangalore2, Rana Fayyad3
1Division of Cardiology, UCSF at Zuckerberg San Francisco General Hospital, San Francisco, CA, USA.
Insights
Visit-to-visit variability in high-density lipoprotein cholesterol (HDL-C), triglycerides, and low-density lipoprotein cholesterol (LDL-C) predicts cardiovascular events. Higher variability in triglycerides and LDL-C also predicts incident diabetes.
Area of Science:
- Cardiology
- Metabolic Health
- Clinical Trials
Background:
- Visit-to-visit variability in risk factors like blood pressure and LDL-C is linked to increased cardiovascular events.
- Understanding lipid variability's impact is crucial for cardiovascular risk assessment.
Purpose of the Study:
- To investigate if variability in HDL-C and triglyceride levels predicts coronary and cardiovascular events.
- To analyze lipid variability in a clinical trial population with established coronary disease.
Main Methods:
- Assessed intraindividual variability in fasting HDL-C, triglycerides, and LDL-C in 9572 patients from the Treating to New Targets trial.
- Correlated lipid variability measures (e.g., average successive variability, standard deviation) with coronary events over a median 4.9-year follow-up.
Main Results:
- Increased variability in HDL-C, triglycerides, and LDL-C was associated with a higher risk of coronary events (HRs ranging from 1.09 to 1.16).
- Variability in triglycerides and LDL-C, but not HDL-C, predicted incident diabetes.
- Similar associations were observed for cardiovascular events, stroke, and nonfatal myocardial infarction.
Conclusions:
- Visit-to-visit variability in HDL-C, triglycerides, and LDL-C predicts coronary and cardiovascular events.
- Variability in triglycerides and LDL-C also predicts incident diabetes, though underlying mechanisms require further investigation.
Background:
Higher visit-to-visit variability in risk factors such as blood pressure and low-density lipoprotein (LDL)-cholesterol are associated with an increase in cardiovascular (CV) events.
Objective:
The purpose of this study was to determine whether variability in high-density lipoprotein cholesterol (HDL-C) and triglyceride levels predicted coronary and CV events in a clinical trial population with known coronary disease.
Methods:
We assessed intraindividual variability in fasting high-density lipoprotein (HDL)-cholesterol, triglyceride, and LDL-cholesterol measurements among 9572 patients in the Treating to New Targets trial and correlated the results with coronary events over a median follow-up of 4.9 years.
Results:
In the fully adjusted Cox model, 1 standard deviation of average successive variability, defined as the average absolute difference between successive values, was associated with an increased risk of a coronary event for HDL-cholesterol (hazard ratio [HR] 1.16, 95% confidence interval [CI] 1.11-1.21, P < .0001), for triglycerides (HR 1.09, 95% CI 1.04-1.15, P = .0005), and for LDL-cholesterol (HR 1.14, 95% CI 1.09-1.19, P < .0001). Similar results were found for the 3 other measures of variability, standard deviation, coefficient of variability, and variability independent of the mean. Similar results were seen for CV events, stroke, and nonfatal myocardial infarction. Higher variability in triglyceride and LDL-cholesterol, but not HDL-cholesterol, was predictive of incident diabetes. The correlation among the variability of the 3 lipid measurements was weak.
Conclusion:
Visit-to-visit variability in fasting measurements of HDL-cholesterol, triglycerides, and LDL-cholesterol are predictive of coronary events, CV events, and for triglyceride and low-density lipoprotein cholesterol variability, incident diabetes. The mechanisms accounting for these associations remain to be determined.
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