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ASCVD Risk Stratification Using Apolipoprotein B and the LDL-C to Total Cholesterol Ratio
Bin Wang1, Nick S Nurmohamed2,3, Jordan M Kraaijenhof2
1Department of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.
Insights
A dual-axis approach using Apolipoprotein B (ApoB) particle burden and LDL cholesterol/total cholesterol (LDL-C/TC) ratio better predicts atherosclerotic cardiovascular disease (ASCVD) risk than LDL-C alone. This method reveals hidden risks for improved ASCVD prevention.
Area of Science:
- Cardiovascular Medicine
- Lipidology
- Preventive Cardiology
Background:
- Low-density lipoprotein cholesterol (LDL-C) is a known cause of atherosclerotic cardiovascular disease (ASCVD).
- Significant variation in ASCVD risk exists across the LDL-C spectrum.
- Existing risk stratification may not fully capture individual susceptibility.
Purpose of the Study:
- To evaluate a dual-axis model integrating Apolipoprotein B (ApoB) particle burden and LDL cholesterol/total cholesterol (LDL-C/TC) ratio for ASCVD risk.
- To determine if this dual-axis structure offers superior risk prediction compared to traditional markers.
- To identify distinct phenotypes based on ApoB and LDL-C/TC ratio for refined risk assessment.
Main Methods:
- Analysis of six US adult cohorts without prior cardiovascular disease or lipid-lowering therapy.
- Dichotomization of ApoB (90 mg/dL) and LDL-C/TC ratio (0.60) to define four risk phenotypes.
- Incident ASCVD events assessed using multivariable Cox proportional hazards models.
Main Results:
- ApoB and LDL-C/TC ratio showed stronger associations with ASCVD risk than LDL-C levels.
- The dual-elevated phenotype exhibited the highest ASCVD incidence (HR 1.67).
- Discordant phenotypes revealed varying risk levels, with high ApoB/low ratio showing borderline associations.
Conclusions:
- A dual-axis framework of ApoB particle burden and LDL-C/TC ratio provides a more coherent explanation of LDL-related atherogenic risk.
- This approach identifies composition-driven vulnerabilities missed by ApoB alone or standard risk scores.
- Routine LDL-C/TC ratio interpretation combined with selective ApoB testing can enhance ASCVD risk stratification.
Background And Aims:
Low-density lipoprotein cholesterol (LDL-C) is causal for atherosclerotic cardiovascular disease (ASCVD), yet substantial risk heterogeneity persists across the LDL-C distribution. We tested whether LDL-related susceptibility is better explained by a dual-axis structure integrating ApoB-defined particle burden with LDL cholesterol composition captured by the LDL-C/total cholesterol (LDL-C/TC) ratio.
Methods:
We analyzed six US cohorts of adults without cardiovascular disease or receiving lipid-lowering therapy at baseline. ApoB and the LDL-C/TC ratio were dichotomized at 90 mg/dL and 0.60, respectively, to define four phenotypes. Incident ASCVD was assessed using multivariable Cox proportional hazards models, with prespecified subgroup analyses by age, sex, and clinical risk groups.
Results:
Among 9,238 ARIC participants (2,038 ASCVD events; median follow-up 25.6 years), ApoB and the Martin/Hopkins LDL-C/TC ratio showed stronger per-SD associations with ASCVD (adjusted hazard ratios [HRs] 1.20 and 1.27) than LDL-C levels. Cross-classification of ApoB and the LDL-C/TC ratio identified four phenotypes. Dual-normal participants exhibited the lowest ASCVD incidence, whereas the dual-elevated phenotype showed the highest risk (HR 1.67). Among discordant phenotypes, the low-ApoB/high-ratio group was associated with modestly higher risk (HR 1.28), while the high-ApoB/low-ratio phenotype demonstrated borderline associations.
Conclusions:
LDL-related atherogenic risk is more coherently explained by a dual-axis framework integrating ApoB-defined particle burden with LDL cholesterol composition captured by the LDL-C/TC ratio. This structure reveals composition-driven vulnerability not apparent from ApoB or contemporary risk scores and supports a scalable strategy in which routine ratio interpretation, coupled with selective ApoB testing, may enhance ASCVD risk stratification within preventive paradigms.
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