Key result
Standard lipid panels accurately estimate small dense LDL cholesterol with ~88% explained variance.
Cross-Sectional (n=220)
Calculated low-density lipoprotein cholesterol (cLDL-C) may differ from direct measurement (dLDL-C), and this difference may depend on presence of small, dense LDL (sdLDL) particles in addition to variation in triglycerides (TG) and high-density lipoprotein cholesterol (HDL-C) concentrations. The presence of such dependence would offer a simple means to estimate sdLDL. We studied dependence of sdLDL on cLDL-C, dLDL-C, and other variables. We measured the levels of glucose, creatinine, total cholesterol, TG, HDL-C, and dLDL-C using standardized methods in 297 samples. For sdLDL cholesterol (sdLDL-C), a novel homogeneous assay was used. The cLDL-C was calculated using the Friedewald formula for 220 subjects after excluding for liver or renal disease. Using stepwise regression analysis identified non-HDL-C, cLDL-C, and dLDL-C as significant variables (P < .001; R(2) = 0.88). The regression equation was as follows: sdLDL-C (mg/dL) = 0.580 (non-HDL-C) + 0.407 (dLDL-C) - 0.719 (cLDL-C) - 12.05. The sdLDL-C concentration can be estimated from non-HDL-C, dLDL-C, and cLDL-C values. Identification of a simple, inexpensive marker for sdLDL particles provides a cost-effective method for screening cardiovascular disease risk.
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Srisawasdi et al. (2011) reported a cross-sectional. Classic lipid measures (non-HDL-C, calculated LDL-C, and directly measured LDL-C) was evaluated on Estimation of small dense LDL cholesterol (sdLDL-C) (R2 = 0.88, p=< .001). Small dense LDL cholesterol concentration can be accurately estimated using non-HDL-C, directly measured LDL-C, and calculated LDL-C values (R2 = 0.88; P < .001).
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