Plaque progression more strongly associated with non-HDL-C than with LDL-C changesLiterature - Puri et al., Arterioscler Thromb Vasc Biol. 2016
Non-HDL Cholesterol and Triglycerides Implications for Coronary Atheroma Progression and Clinical Events
Puri R, Nissen SE, Shao M, et al.
Arterioscler Thromb Vasc Biol. 2016;36: published online ahead of print
BackgroundNon-HDL-C encompasses all atherogenic particles containing apolipoprotein B (apoB), and predicts cardiovascular (CV) risk more accurately than LDL-C alone [1-4]. Although the International Atherosclerosis Society and the National Lipid Association consider non-HDLC to be the most important therapeutic target, non-HDL-C remains a secondary treatment goal according to European guidelines [5-7].
The association between achieved non-HDL-C and triglyceride (TG) levels and coronary atheroma progression rates have not been defined. The present analysis evaluated the relationship between achieved non-HDL-C and TG levels with the rates of plaque progression, in 4957 patients stratified according to residual metabolic risk. The residual metabolic risk was defined based on achieved LDL-C, C-reactive protein (CRP) and diabetes mellitus (DM) status. Plaque progression was assessed with coronary intravascular ultrasound (percent atheroma volume (PAV)). The effects of lower (<100 mg/dL) vs higher (≥100 mg/dL) achieved non-HDLC levels and lower (<200 mg/dL) vs higher (≥200 mg/dL) achieved TG levels were evaluated.
- Lower compared with higher non-HDL-C levels and TG levels were significantly associated with greater PAV regression, irrespective of achieved LDL-C levels, CRP levels, or DM status (P<0.001 for all comparisons).
- In a non-HDL-adjusted model, non-HDL-C was strongly associated with PAV progression: β coefficient for baseline non-HDL-C: +0.53; 95% CI: 0.41 - 0.66; P<0.001 and β coefficient for change in non-HDL-C: +0.62; 95% CI: 0.47 - 0.76; P<0.001.
- Other predictors of PAV progression were the presence of DM (β: +0.58; 95% CI: 0.37 - 0.79; P<0.001), history of peripheral arterial disease (β: +0.49; 95% CI: 0.09 - 0.89; P=0.016), and increasing age (β: 0.02; 95% CI: 0.01 - 0.03; P<0.001).
- Independent predictors of PAV regression included higher baseline PAV (β: −0.58; 95% CI: −0.67 to −0.49; P<0.001), female sex (β: −0.27; 95% CI: −0.46 to −0.08; P=0.005), and change in HDL-C (β: −0.14; 95% CI: −0.23 to −0.05; P=0.002).
- In an LDL-c adjusted model, both baseline LDL-c and change in LDL-c were associated with PAV progression (β: 0.40, 95%CI: 0.26-0.53 and β:0.51, 95%CI: 0.36-0.66 respectively, both P<001). In this model, also baseline and change in TGs associated with PAV progression (β: 0.49, 95%CI: 0.29-0.70, and β: 0.48, 95%CI: 0.20-0.76, both P<0.001)
- In this LDL-C-adjusted model, multivariable predictors of PAV changes were again the presence of DM, history of peripheral arterial disease, and increasing age.
- At 24 months, the cumulative incidence of first MACE was significantly higher in those with: achieved non-HDLC levels ≥ median level compared with non-HDLC < median value (22.8% vs. 14.6%; log-rank P<0.001), achieved LDLC ≥ vs. <median value (22.0% vs. 15.5%; log-rank P<0.001), ≥ median vs. < median TG levels (21.2% vs. 15.9%; log-rank P<0.001) and TG ≥200 mg/dL compared with lower TG levels (23.7% vs. 17.5%; log-rank P<0.001).
ConclusionPlaque progression is more strongly associated with changes in non-HDL-C than with changes in LDL-C and associates with TG levels > 200 mg/dL. Lower on-treatment non-HDL-C and TG levels were consistently associated with residual CV risk. These data support the opinion that non-HDL-C should be the primary therapeutic target for CV risk prevention.
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