Pornpen SrisawasdiSirirat ChaloeysupYaovalak TeerajetgulAnothai PocathikornChonlaphat SukasemSomlak VanavananMartin H. KrollMahidol UniversityKhon Kaen UniversityPrince of Songkla UniversityBoston Medical Center2018-05-032018-05-032011-07-01American Journal of Clinical Pathology. Vol.136, No.1 (2011), 20-2919437722000291732-s2.0-79960126157https://repository.li.mahidol.ac.th/handle/20.500.14594/12454Calculated 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. © American Society for Clinical Pathology.Mahidol UniversityMedicineArticleSCOPUS10.1309/AJCPLHJBGG9L3ILS