Development and Validation of Multiple Equations for Low-Density Lipoprotein and Apolipoprotein B in Korean Patients Visiting Local Clinics and Hospitals

• Published in: Nutrients Vol. 15; no. 12; p. 2786
• Main Authors: Choi, Rihwa, Lee, Sang Gon, Lee, Eun Hee
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.06.2023; MDPI
• Subjects: Analysis; Analysis and chemistry; ApoB; Apolipoprotein B; Apolipoproteins; Atherosclerosis; Automation; Blood; Cardiology; Cardiovascular diseases; Cholesterol; Cole, J; Datasets; dyslipidemia; equation; Ethnic studies; Ethnicity; Health risks; High density lipoprotein; Hispanic people; Hospitals; Laboratories; Lipids; Lipoproteins; Low density lipoprotein; Low density lipoproteins; Metabolic disorders; Population studies; Populations; Quality control; Regression analysis; Risk factors; Software; South Korea; Statistical analysis; Test sets; Translation; Triglycerides; utilization; South Korea; equation; translation; utilization; dyslipidemia; ApoB; apolipoprotein B; Korea
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu15122786

We investigated the utilization of apolipoprotein B (ApoB), an independent risk factor for cardiovascular disease, and developed and validated a translational equation for calculating low-density lipoprotein cholesterol (LDL-C) in the Korean population visiting local clinics and hospitals. Among a total of 469,520 data sets of the lipid profile panel (total cholesterol, triglycerides, and high-density lipoprotein cholesterols), 142,932 lipid test sets with data on LDL-C and/or ApoB were used for statistical analysis. Using linear regression analysis, we created ApoB percentile value-derived LDL-C equations in a creating set and validated them with previously reported equations (a total of 11 equations) in comparison to directly measured LDL-C using two independent validating sets. Among all lipid test sets, the simultaneously measured ApoB test only accounted for 2.0%, indicating its underutilization in Korea. The ApoB-derived equations, which were derived in this study and previous studies, showed an overall agreement of ≥94.3% for NCEP ATP III criteria. However, the accuracy of the equations varied among data sets of populations. Future studies are needed to validate translational equations for ApoB and LDL-C in different populations to clarify the clinical implications of these equations.