Roopa Mehta1, Enrique Reyes-Rodríguez2, Omar Yaxmehen Bello-Chavolla3, Ana Carmen Guerrero-Díaz2, Arsenio Vargas-Vázquez3, Ivette Cruz-Bautista4, Carlos A Aguilar-Salinas5. 1. Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico; Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico. 2. Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico. 3. Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico; MD/PhD (PECEM) Program, Faculty of Medicine, National Autonomous University of Mexico, Mexico. 4. Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico. Electronic address: ivette.cb27@gmail.com. 5. Unidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico; Departamento de Endocrinología y Metabolismo, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico; Instituto Tecnologico y de Estudios Superiores de Monterrey Tec Salud, Mexico.
Abstract
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 ρ = 0.777 (95%CI 0.718-0.825) and ρ = 0.735 (95%CI 0.648-0.816), respectively. The corresponding correlations for LDL-F were ρ = 0.551(95%CI 0.454-0.637) and ρ = 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 (κLDL-N = 0.495 vs. κLDL-F = 0.165) and non-HDL-C <130 (κLDL-N = 0.724 vs. κLDL-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.
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 ρ = 0.777 (95%CI 0.718-0.825) and ρ = 0.735 (95%CI 0.648-0.816), respectively. The corresponding correlations for LDL-F were ρ = 0.551(95%CI 0.454-0.637) and ρ = 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 (κLDL-N = 0.495 vs. κLDL-F = 0.165) and non-HDL-C <130 (κLDL-N = 0.724 vs. κLDL-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.
Authors: Edward E Schneider; Sudipa Sarkar; Joseph B Margolick; Seth S Martin; Wendy S Post; Todd T Brown Journal: AIDS Res Hum Retroviruses Date: 2020-01-06 Impact factor: 2.205
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