abstract
- © 2018 Elsevier B.V.Background and aims: A novel method to estimate low density lipoprotein cholesterol (LDL-C) has been proposed by Martin et al. This may permit a more accurate estimation of cardiovascular risk, however, external validation is needed. Here, the performance of LDL-C using this new method (LDL-N) is compared with LDL-C estimated with Friedewald equation (LDL-F) in familial combined hyperlipidemia (FCHL), a common primary dyslipidemia in which apolipoprotein B containing particle composition is abnormal and interferes with LDL-C estimation. Methods: A total of 410 FCHL subjects were included. LDL-C was estimated with both the Friedewald equation (LDL-F) and the novel formula (LDL-N). Apolipoprotein B levels and non- HDL-C were recorded. The correlation and concordance between LDL-F and LDL-N and both Apolipoprotein B and non-HDL-C levels were calculated. Analysis stratifying for triglyceride tertiles and FCHL lipid phenotypes was also carried out. Results: The correlations between LDL-N and Apo B and non-HDL-C were ¿ = 0.777 (95%CI 0.718¿0.825) and ¿ = 0.735 (95%CI 0.648¿0.816), respectively. The corresponding correlations for LDL-F were ¿ = 0.551(95%CI 0.454¿0.637) and ¿ = 0.394 (95%CI 0.253¿0.537), respectively. In mixed dyslipidemia or isolated hypertriglyceridemia, these correlations were significantly better using LDL-N. With respect to concordance, LDL-N performed significantly better than LDL-F when considering apoB <90 mg/dL (¿LDL-N = 0.495 vs. ¿LDL-F = 0.165) and non-HDL-C <130 (¿LDL-N = 0.724 vs. ¿LDL-F = 0.253). Conclusions: In FCHL, LDL-C estimation using Martin's formula showed greater correlation and concordance with non-HDL-C and Apo B compared with the Friedewald equation.