Abstract
BACKGROUND: A new formula for estimating small, dense, low-density lipoprotein cholesterol (sdLDL-C) based on the results of the standard lipid panel is proposed. OBJECTIVES: To assess the association between estimated sdLDL-C (EsdLDL-C) and atherosclerotic cardiovascular disease (ASCVD) risk. METHODS: A total of 12,192 participants from the Korea National Health and Nutrition Examination Survey (KNHANES) database between 2010 and 2020 were included in this cross-sectional study. EsdLDL-C was calculated as EsdLDL-C= LDL-C - [1.43 × LDL-C - (0.14 × (ln (TG) × LDL-C)) - 8.99]. Logistic regression analyses were utilized to assess the association between EsdLDL-C and ASCVD risk. Subgroup analyses were performed based on age, body mass index (BMI), hypertension, and diabetes. An odds ratio (OR) with a 95% confidence interval (CI) was used for evaluation. P<0.05 was considered statistically significant. RESULTS: Among 12,192 participants, 1,239 (10.16%) had ASCVD. The mean sdLDL-C of participants was estimated to be 42.43±14.75 mg/dL using the formula. Elevated EsdLDL-C levels (OR=1.33; 95%CI, 1.06-1.66) were associated with an increased risk of ASCVD. Subgroup analyses found that there may be an interaction between EsdLDL-C (Pinteraction= 0.001) or non-HDL-C (Pinteraction= 0.015) and hypertension on ASCVD risk. CONCLUSIONS: Elevated estimated sdLDL-C levels were associated with the risk of ASCVD, and estimated sdLDL-C might be an alternative to sdLDL-C measurement for ASCVD risk assessment.