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Remnant Cholesterol and Its Visit-to-Visit Variability Predict Cardiovascular Outcomes in Patients With Type 2
Liyao Fu1,2, Shi Tai2, Jiaxing Sun2
1Department of Blood Transfusion, The Second Xiangya Hospital of Central South University, Changsha, China.
Insights
High remnant cholesterol (remnant-C) levels increase cardiovascular risk in type 2 diabetes patients, independent of LDL-cholesterol. Visit-to-visit remnant-C variability also identifies individuals at higher risk for major adverse cardiovascular events (MACE).
Area of Science:
- Cardiovascular Medicine
- Endocrinology
- Lipid Metabolism
Background:
- Remnant cholesterol (remnant-C) is a predictor of atherosclerotic cardiovascular disease (ASCVD).
- Its association with cardiovascular outcomes in type 2 diabetes (T2D) requires further investigation, especially concerning LDL-cholesterol (LDL-C) levels.
Purpose of the Study:
- To assess the association between remnant-C and major adverse cardiovascular events (MACE) in patients with T2D.
- To evaluate the impact of remnant-C variability on MACE risk.
- To determine if remnant-C predicts MACE independently of LDL-C targets.
Main Methods:
- Post hoc analysis of the ACCORD trial data.
- Included patients with T2D and available remnant-C and MACE data.
- Used Cox proportional hazards regression and discordance analyses to evaluate associations.
Main Results:
- Increased remnant-C was associated with higher MACE risk (HR 1.07 per 1-SD increase) after adjusting for risk factors.
- Visit-to-visit remnant-C variability (logSD, logARV) significantly predicted MACE (HR 1.41 and 1.45, respectively).
- High remnant-C identified increased MACE risk regardless of LDL-C levels or subgroups.
Conclusions:
- Remnant-C is an independent predictor of MACE in T2D patients.
- Visit-to-visit remnant-C variability is a valuable marker for identifying high-risk individuals.
- Managing remnant-C may be crucial for reducing cardiovascular risk in T2D.
Objective:
Remnant cholesterol (remnant-C) predicts atherosclerotic cardiovascular disease, regardless of LDL-cholesterol (LDL-C) levels. This study assessed the associations between remnant-C and cardiovascular outcomes in type 2 diabetes.
Research Design And Methods:
This post hoc analysis of the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial used patient (type 2 diabetes >3 months) remnant-C and major adverse cardiovascular event (MACE) data from the study database. The associations between remnant-C and MACEs were evaluated using Cox proportional hazards regression analyses. We examined the relative MACE risk in remnant-C versus LDL-C discordant/concordant groups using clinically relevant LDL-C targets by discordance analyses.
Results:
The baseline analysis included 10,196 participants, with further visit-to-visit variability analysis including 9,650 participants. During follow-up (median, 8.8 years), 1,815 patients (17.8%) developed MACEs. After adjusting for traditional cardiovascular risk factors, each 1-SD increase in remnant-C was associated with a 7% higher MACE risk (hazard ratio [HR] 1.07, 95% CI 1.02-1.12, P = 0.004). In the fully adjusted model, the visit-to-visit remnant-C variability calculated using logSD (HR 1.41, 95% CI 1.18-1.69, P < 0.001) and logARV (HR 1.45, 95% CI 1.22-1.73, P < 0.001) was associated with MACEs. Residual lipid risk (remnant-C ≥31 mg/dL) recognized individuals at a higher MACE risk, regardless of LDL-C concentrations. Within each LDL-C subgroup (>100 or ≤100 mg/dL), high baseline remnant-C was associated with a higher MACE risk (HR 1.37, 95% CI 1.09-1.73, P = 0.007; HR 1.22, 95% CI 1.04-1.41, P = 0.015, respectively).
Conclusions:
Remnant-C levels were associated with MACEs in patients with type 2 diabetes independent of LDL-C, and visit-to-visit remnant-C variability helped identify those with higher cardiovascular risk.
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