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Beyond LDL-C: discordant small dense LDL cholesterol stratifies hypertension risk in a Chinese longitudinal cohort
Xiaofei Wu1, Chunfang Ma2, Weihai Chen3
1Department of Emergency Medicine, Suzhou Ninth People's Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China.
Insights
Small dense low-density lipoprotein cholesterol (sdLDL-C) and its discordance with LDL-C predict hypertension (HTN) risk in Chinese adults. High sdLDL-C, especially with low LDL-C, indicates elevated HTN incidence.
Area of Science:
- Cardiovascular Disease Epidemiology
- Lipid Metabolism and Hypertension
Background:
- Investigated small dense low-density lipoprotein cholesterol (sdLDL-C) and its discordance with low-density lipoprotein cholesterol (LDL-C) as predictors of hypertension (HTN) incidence.
- Focused on a Chinese adult population within the China Health and Retirement Longitudinal Study (CHARLS).
Purpose of the Study:
- To determine if sdLDL-C and its discordance with LDL-C predict the incidence of hypertension (HTN).
- To assess the association between different sdLDL-C/LDL-C ratios and HTN risk.
- To compare LDL-C values calculated by Sampson's equation with homogeneous assay measurements.
Main Methods:
- Utilized Sampson's equation to calculate sdLDL-C from data of 4,574 Chinese adults (≥45 years).
- Stratified participants into groups based on sdLDL-C/LDL-C percentile divergence (≥10%): discordantly low, concordant, and discordantly high.
- Employed Cox regression analyses to examine the relationship between sdLDL-C and HTN incidence, adjusting for confounders.
Main Results:
- Over 9 years, 39.9% developed HTN. Baseline sdLDL-C independently predicted HTN risk (HR=1.36).
- The discordantly high sdLDL-C group showed a 24% higher HTN risk compared to the discordantly low group (HR=1.28).
- Individuals with low LDL-C but high sdLDL-C exhibited the highest HTN risk. Potential biases between Sampson's equation and direct LDL-C measurements were noted.
Conclusions:
- sdLDL-C, particularly its discordance with LDL-C, is an independent predictor of incident HTN in Chinese adults.
- These findings suggest sdLDL-C can refine cardiovascular risk stratification.
- sdLDL-C may enhance precision prevention strategies for hypertension.
Background:
This longitudinal study investigated small dense low-density lipoprotein cholesterol (sdLDL-C) and its discordance with low-density lipoprotein cholesterol (LDL-C) as predictors of hypertension (HTN) incidence in a Chinese population.
Methods:
Sampson's equation was used to calculate sdLDL-C. Using data from 4,574 adults aged ≥ 45 from the China Health and Retirement Longitudinal Study (CHARLS), participants were stratified into three groups by sdLDL-C/LDL-C percentile divergence (≥ 10%): discordantly low sdLDL-C, concordant, and discordantly high sdLDL-C. Cox regression analyses were performed to examine the relationship between sdLDL-C and HTN, adjusting for potential confounders. Additionally, we compared the LDL-C values derived from the Sampson equation with those measured by the homogeneous assay employed in this study.
Results:
Over 9 years, 1,826 (39.9%) developed HTN. Cox regression adjusted for confounders showed baseline log-transformed sdLDL-C independently predicted HTN risk (hazard ratio [HR] = 1.36, 95% confidence interval [CI]:1.17-1.57). The discordantly high sdLDL-C group had 24% higher HTN risk versus the discordantly low group (HR = 1.28, 95% CI:1.13-1.45). Stratification by three LDL-C clinical thresholds and median values revealed individuals with low LDL-C but high sdLDL-C had the highest HTN risk (vs. low LDL-C/low sdLDL-C reference group in fully adjusted models). Despite strong correlation (Spearman's r = 0.956), systematic biases between direct LDL-C and Sampson methods may limit clinical interchangeability.
Conclusion:
sdLDL-C, particularly its discordance with LDL-C, is independently associated with incident HTN risk in Chinese adults. These findings underscore sdLDL-C's potential to refine cardiovascular risk stratification and enhance precision prevention strategies.
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