Publication: Estimation of plasma small dense LDL cholesterol from classic lipid measures
Issued Date
2011-07-01
Resource Type
ISSN
19437722
00029173
00029173
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2-s2.0-79960126157
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Mahidol University
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SCOPUS
Bibliographic Citation
American Journal of Clinical Pathology. Vol.136, No.1 (2011), 20-29
Suggested Citation
Pornpen Srisawasdi, Sirirat Chaloeysup, Yaovalak Teerajetgul, Anothai Pocathikorn, Chonlaphat Sukasem, Somlak Vanavanan, Martin H. Kroll Estimation of plasma small dense LDL cholesterol from classic lipid measures. American Journal of Clinical Pathology. Vol.136, No.1 (2011), 20-29. doi:10.1309/AJCPLHJBGG9L3ILS Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/12454
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Title
Estimation of plasma small dense LDL cholesterol from classic lipid measures
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Abstract
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. © American Society for Clinical Pathology.