There is universal agreement that low-density lipoprotein-cholesterol (LDL-C) plays a central role in the pathogenesis of atherosclerotic cardiovascular diseases (ASCVD) [1]. It has been well described, however, that ASCVD risk is even more strongly associated by univariate analysis with small dense LDL-C (sdLDL-C) than LDL-C [2] and sdLDL-C is now considered an emerging risk factor by the National Cholesterol Education Program [3].
If sdLDL-C is superior to LDL-C as an ASCVD risk marker, why then it is not used more often for ASCVD risk assessment and why is it not recommended for routine screening by the most recent US 2018-2019 Multi-society guidelines on the management of blood cholesterol [4]? One explanation is the labor-intensive methods that were traditionally used to measure it. Recently, a direct sdLDL-C assay, which can be fully automated, has been developed and showed promising results in several large ASCVD outcome studies [1, 2]. Encouraged by these findings, we recently developed an equation for estimating sdLDL-C based on the standard lipid panel [5] and estimated LDL-C by the Sampson equation that is more accurate with hypertriglyceridemia [6].
Calculating sdLDL-C with our new method [5] consists of two steps: firstly, we calculate large buoyant LDL-C (lbLDL-C) based on total LDL-C an interaction term between LDL-C and the natural log of triglycerides (TG), and then lbLDL-C is subtracted from total LDL-C giving and estimate for sdLDL-C. Software for performing these calculations by the newly developed equations can be freely downloaded at the linked website.
We found that our sdLDL-C equation can identify additional high-risk patients in the National Heart and Nutrition Examination Survey (NHANES) not identified by other risk-enhancer tests, such us LDL-C, TG, apolipoprotein B or non-HDL-C, when using 80th percentile concentration of sdLDL-C (46 mg/dL) as a cut point. Moreover, after multivariate adjustment for other known ASCVD risk factors, our sdLDL-C equation used for estimating sdLDL-C in the Multi-Ethnic Study of Atherosclerosis (MESA) cohort gave results that were superior to all other lipid measures and even unexpectedly superior to the directly measured sdLDL-C.
Our findings suggest that sdLDL-C may be a biomarker of the “pro-atherogenic phenotype” observed in patients with hypertriglyceridemia, metabolic syndrome and diabetes, and other high-ASCVD risk groups [1]. Given the relatively simplicity of the calculation and the fact that it does not involve additional laboratory testing beyond the standard lipid panel, estimated sdLDL-C could become a useful tool for ASCVD risk assessment but will require additional studies to establish its clinical utility and for determining how it can be best integrated into current guidelines.
Acknowledgement:
This research was supported by the Intramural Research Program of the National Heart, Lung, and Blood Institute (NHLBI) at National Institutes of Health.