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Published on: October 12, 2017
Race-Dependent Association of High-Density Lipoprotein Cholesterol Levels With Incident Coronary Artery Disease
Neil A Zakai1, Jessica Minnier2, Monika M Safford3
1Department of Medicine, Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont, USA; Larner College of Medicine, University of Vermont, Burlington, Vermont, USA.
Insights
Plasma lipids like LDL-C and triglycerides predict coronary heart disease (CHD) risk in all races. However, low HDL-C increases CHD risk in White adults but not Black adults, impacting risk assessments.
Area of Science:
- Cardiovascular Disease Epidemiology
- Lipid Metabolism and Cardiovascular Risk
Background:
- Plasma lipids are established risk factors for coronary heart disease (CHD).
- Race-specific associations between lipid levels and CHD risk are not fully understood.
- Existing CHD risk equations may underperform in certain racial groups, particularly Black adults.
Purpose of the Study:
- To investigate the reasons for underperformance of CHD risk equations in Black adults.
- To examine race-specific associations of plasma lipid levels with incident CHD.
- To evaluate the predictive value of different lipid parameters for CHD events across racial groups.
Main Methods:
- Analysis of the REGARDS cohort, including 30,239 Black and White individuals aged ≥45 years.
- Use of Cox regression models to estimate race-specific hazards of plasma lipids for incident CHD.
- Adjustment for clinical and behavioral risk factors in the analysis.
Main Results:
- Low-density lipoprotein cholesterol and triglycerides were associated with increased CHD risk in both Black and White adults.
- Low high-density lipoprotein cholesterol (HDL-C) was linked to higher CHD risk in White adults but not in Black adults.
- High HDL-C was not associated with a decreased risk of CHD events in either racial group.
Conclusions:
- Lipid profiles, including LDL-C and triglycerides, modestly predict CHD risk across races.
- The differential association of HDL-C with CHD risk between White and Black adults highlights limitations in current risk assessment tools.
- Current high-density lipoprotein cholesterol-based risk calculations may lead to inaccurate CHD risk assessment for Black adults.
Background:
Plasma lipids are risk factors for coronary heart disease (CHD) in part because of race-specific associations of lipids with CHD.
Objectives:
The purpose of this study was to understand why CHD risk equations underperform in Black adults.
Methods:
Between 2003 and 2007, the REGARDS (REasons for Geographic and Racial Differences in Stroke) cohort recruited 30,239 Black and White individuals aged ≥45 years from the contiguous United States. We used Cox regression models adjusted for clinical and behavioral risk factors to estimate the race-specific hazard of plasma lipid levels with incident CHD (myocardial infarction or CHD death).
Results:
Among 23,901 CHD-free participants (57.8% White and 58.4% women, mean age 64 ± 9 years) over a median 10 years of follow-up, 664 and 951 CHD events occurred among Black and White adults, respectively. Low-density lipoprotein cholesterol and triglycerides were associated with increased risk of CHD in both races (P interaction by race >0.10). For sex-specific clinical HDL-C categories: low HDL-C was associated with increased CHD risk in White (HR: 1.22; 95% CI: 1.05-1.43) but not in Black (HR: 0.94; 95% CI: 0.78-1.14) adults (P interaction by race = 0.08); high HDL-C was not associated with decreased CHD events in either race (HR: 0.96; 95% CI: 0.79-1.16 for White participants and HR: 0.91; 95% CI: 0.74-1.12 for Black adults).
Conclusions:
Low-density lipoprotein cholesterol and triglycerides modestly predicted CHD risk in Black and White adults. Low HDL-C was associated with increased CHD risk in White but not Black adults, and high HDL-C was not protective in either group. Current high-density lipoprotein cholesterol-based risk calculations could lead to inaccurate risk assessment in Black adults.
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