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Estimation of Plasma Small Dense LDL Cholesterol From Classic Lipid Measures.

机译:从经典脂质测量方法估算血浆小密度低密度脂蛋白胆固醇。

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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.
机译:计算出的低密度脂蛋白胆固醇(cLDL-C)可能与直接测量(dLDL-C)不同,除了甘油三酸酯(TG)和密度脂蛋白胆固醇(HDL-C)浓度。这种依赖性的存在将提供估计sdLDL的简单方法。我们研究了sdLDL对cLDL-C,dLDL-C和其他变量的依赖性。我们使用标准化方法在297个样本中测量了葡萄糖,肌酐,总胆固醇,TG,HDL-C和dLDL-C的水平。对于sdLDL胆固醇(sdLDL-C),使用了一种新颖的均相测定法。在排除肝脏或肾脏疾病后,使用Friedewald公式计算了220名受试者的cLDL-C。使用逐步回归分析确定非HDL-C,cLDL-C和dLDL-C为显着变量(P <.001; R(2)= 0.88)。回归方程如下:sdLDL-C(mg / dL)= 0.580(非HDL-C)+ 0.407(dLDL-C)-0.719(cLDL-C)-12.05。可以从非HDL-C,dLDL-C和cLDL-C值估算sdLDL-C浓度。鉴定sdLDL颗粒的简单,便宜的标记物为筛查心血管疾病风险提供了一种经济高效的方法。

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