AbstractBackground Non-high-density lipoprotein-cholesterol (non-HDL-C) provides prognostic information on cardiovascular disease (CVD) risk, even when low-density lipoprotein-cholesterol (LDL-C) appears controlled, and is a secondary target in guidelines. We evaluated non-HDL-C goal-attainment across Europe using European Society of Cardiology/European Atherosclerosis Society (ESC/EAS) guidelines, explored factors influencing goal-attainment and assessed lipid-lowering therapy (LLT) practices. Methods Cross-sectional secondary analysis of the DA VINCI study data from 2041 primary and 1923 secondary prevention patients receiving LLT across 18 European countries between 2017-2018. Non-HDL-C goal-attainment was evaluated using 2016 and retrospectively applied 2019 ESC/EAS guidelines, overall and across CVD risk categories and treatment regimens. Multivariable logistic regression was used to identify independent predictors of goal-attainment. Results Overall, 59% (95%CI:57-60%) of patients attained their 2016 non-HDL-C goals, vs. 54% (95%CI:53-56%) for LDL-C; 50% (95%CI:48-51%) attained both. Under stricter 2019 guidelines applied retrospectively, goal-attainment was 40% (95%CI:39-42%), vs. 34% (95%CI:32-35%) for LDL-C, and 30% (95%CI:28-32%) for dual-goals. Non-HDL-C goal-attainment decreased with increasing CVD risk. Use of combination LLT was low, especially in very-high-risk patients. Older age (OR:1.60) and male sex (OR:1.35) were positively associated with non-HDL-C goal attainment; smoking (OR:0.71) and hypertriglyceridemia (OR:0.35) were negatively associated. Those at LDL-C-goal only had higher triglycerides, BMI, and T2DM burden than those achieving both goals, highlighting residual risk. Conclusions Despite widespread statin use, many patients treated under 2017-2018 practice would not have met the more stringent 2019 non-HDL-C targets. This highlights the need for risk-based treatment intensification, improved targeting of triglyceride-rich lipoproteins, and broader adoption of combination LLTs to optimise guideline-based care.
Building similarity graph...
Analyzing shared references across papers
Loading...
Aksaan Arif
Irene Karungi
Christophe Stevens
Atherosclerosis
Imperial College London
Public Health England
Alexandria University
Building similarity graph...
Analyzing shared references across papers
Loading...
Arif et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69a759e1c6e9836116a1f42e — DOI: https://doi.org/10.1016/j.atherosclerosis.2026.120644