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Published on: October 12, 2017
The independent correlation between high-density lipoprotein cholesterol and subsequent major adverse coronary events
Carol E Koro1, Steven J Bowlin, Timothy E Stump
1GlaxoSmithKline, Inc., Collegeville, PA, USA.
Insights
Higher high-density lipoprotein cholesterol (HDL-C) levels and increases in HDL-C predict fewer coronary events. This suggests targeting HDL-C may reduce cardiovascular risk.
Area of Science:
- Cardiology
- Preventive Medicine
- Lipid Metabolism
Background:
- Lowering LDL-C is proven to reduce cardiovascular risk.
- Evidence for raising HDL-C's benefits is less clear.
- Predictive value of HDL-C levels and changes for coronary events is not well understood.
Purpose of the Study:
- To investigate the predictive value of baseline and changing HDL-C levels for major adverse coronary events.
- To determine if HDL-C, LDL-C, or triglycerides predict cardiovascular events.
Main Methods:
- Cohort study of 6928 patients with at least two lipid measurements (1985-1997).
- Cox proportional hazards models used to identify predictors of coronary events after the second lipid measurement.
- Analysis adjusted for patient demographics and comorbidities.
Main Results:
- Higher baseline HDL-C (10 mg/dL) associated with 11% lower coronary event risk.
- A 10 mg/dL increase in HDL-C linked to 7% lower event risk.
- Neither baseline nor changes in triglycerides or LDL-C predicted coronary events.
Conclusions:
- Both initial HDL-C levels and changes in HDL-C predict major adverse coronary events.
- Findings support investigating interventions targeting HDL-C for cardiovascular risk reduction.
Background:
There is substantial evidence from clinical trials that lowering low-density lipoprotein cholesterol (LDL-C) reduces cardiovascular risk. There is less evidence for the salutatory effects of raising high-density lipoprotein cholesterol (HDL-C). The predictive strength of an initial HDL-C measurement and its change over time for major adverse coronary events is not well understood.
Methods:
We identified a cohort of all 6928 patients in an urban primary care practice who had two or more lipid measurements between January 1985 and December 1997. We used bivariable and multivariable (Cox proportional hazards) techniques to identify independent predictors of subsequent major adverse coronary events (hospitalization for myocardial infarction or acute coronary syndrome) after the second set of lipid measurements.
Results:
The time between first and second lipid measurements averaged 2.6 years. During a mean of 5.1 +/- 3.2 years of observation after their second lipid measurements, 2167 (31%) patients had an acute coronary event. Patients having events were significantly older, more often white, male, and smokers and more often had antecedent diabetes, hypertension, coronary heart disease, and myocardial infarctions. Adjusting for covariates, a 10-mg/dL higher initial HDL-C was associated with an 11% (95% CI 7%-14%) lower risk of coronary events. A 10-mg/dL increase in HDL-C between lipid measurements was associated with a 7% (95% CI 3%-10%) lower risk of events. Neither initial or change in triglycerides nor LDL-C predicted subsequent coronary events.
Conclusion:
High-density lipoprotein cholesterol measurements and change in HDL-C predicted major adverse coronary events in this urban practice, which provides support studying interventions targeting HDL-C for cardiovascular risk reduction.
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