ArticleCardiovascular diabetology2025
Longitudinal changes in remnant cholesterol and the risk of cardiovascular disease.
Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The association of nontraditional lipid parameters with all-cause and cardiovascular mortality: A national cohort study.Medicine · 2026Article
- Effect of remnant cholesterol on the onset of diabetes mellitus.Journal of diabetes investigation · 2026Article
- Interpretable machine learning of non-traditional lipid indices for diagnostic classification of CHD in patients with comorbid MASLD and T2DM: a multicenter study.Frontiers in nutrition · 2026Article
- Remnant cholesterol for diabetic kidney disease risk stratification in type 2 diabetes: a machine learning-based prevention tool.Frontiers in nutrition · 2025Article
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Authors and funding
8 authors.
Funding
Abstract
BACKGROUND AND
aimThe analyses of longitudinal changes in remnant cholesterol (RC) and cardiovascular disease (CVD) remains are limited. The objective of the study was to investigate the associations of longitudinal changes in RC with the risks of CVD and its subtypes (myocardial infarction [MI] and stroke). METHODS AND
resultsThe participants were enrolled in the Kailuan study. The RC short-term change pattern was defined by RC cutoff points according to equivalent percentiles for low-density lipoprotein cholesterol of 2.6 mmol/L at visits in 2006 and 2008. The RC long-term change pattern was defined as the RC trajectories from 2006 to 2010. Multivariate Cox proportion models were used to calculate hazard ratios (HRs) and their 95% confidence intervals (CIs). The cutoff values of RC were 0.52 mmol/L at the 2006 visit and 0.51 mmol/L at the 2008 visit. In the RC short-term change analysis, the participants in the high stable group had a 31% increased risk of CVD (HR 1.31; 95% CI 1.22-1.41), 73% increased risks of MI (HR 1.73; 95% CI 1.47-2.03), and 21% increased risks of stroke (HR 1.21; 95% CI 1.12-1.31) compared with participants in the low stable group. Three RC trajectories were employed in the RC long-term change analysis. Compared with the low stable group, the high stable group had a 1.34-fold risk of CVD (HR 1.34; 95% CI 1.17-1.53), 1.66-fold risk of MI (HR 1.66; 95% CI 1.24-2.21), and 1.22-fold risk of stroke (HR 1.22; 95% CI 1.05-1.42).
conclusionsThe stable high RC was associated with a higher risk of CVD. Maintaining optional RC levels could reduce the lifetime risk of CVD and prolong the year of life free from CVD.
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