Remnant cholesterol in patients admitted for acute coronary syndromes

Elevated remnant cholesterol is a risk factor for acute ischemic stroke

OBJECTIVES

Remnant cholesterol (RC) is thought to be an important pathogenic risk factor for atherosclerosis, however, the relationship between RC and acute ischemic stroke (AIS) is still unclear. This study aimed to determine whether fasting blood RC level is an independent risk factor for AIS.

MATERIALS AND METHODS

A retrospective analysis was performed on 650 patients with AIS and 598 healthy controls during the same time period. The association between RC and AIS was investigated using binary logistic regression, and the relationship between RC and AIS risk was demonstrated using Restricted Cubic Splines (RCS).

RESULTS

RC was significantly higher in the AIS group compared with control group, and was an independent risk factor for AIS when the covariates were not adjusted;After adjusting some covariates, RC was still an independent risk factor for AIS. The RCS analysis found the risk was non-linear: when RC concentration was less than 0.69 mol/L, the risk of AIS increased with the elevation of RC, and when RC concentration was more than or equal to 0.69 mol/L, the risk of AIS was insignificant with the elevation of RC. Correlation analysis revealed that RC was associated with diabetes and fasting glucose. Further analysis revealed that the incidence of AIS in diabetic patients increased significantly with the increase of RC, and RCS analysis revealed that the risk of AIS in diabetic patients increased with the increase of RC when RC was more than 1.15 mol/L.

CONCLUSIONS

This study confirms RC as an independent risk factor for AIS, which highlights a distinct non-linear association between RC levels and AIS risk. These findings suggest the need for targeted AIS risk assessment strategies, especially in diabetic patients, and underscore the relevance of RC as a biomarker in AIS risk stratification.

Remnant cholesterol and low-grade inflammation jointly in atherosclerotic cardiovascular disease: implications for clinical trials

PURPOSE OF REVIEW

Atherosclerotic cardiovascular disease (ASCVD) is the leading cause of death despite the development of effective treatments. Recently, elevated remnant cholesterol and low-grade inflammation have emerged as factors explaining part of the residual ASCVD risk. Interestingly, the coexistence of both high remnant cholesterol and low-grade inflammation can further increase the risk of ASCVD. The aim of this review is to describe the role of elevated remnant cholesterol and low-grade inflammation, separately and combined, in ASCVD.

RECENT FINDINGS

Results from recently published studies, including observational and genetic Mendelian randomization studies, support a causal relationship between elevated remnant cholesterol and low-grade inflammation on risk of ASCVD in both primary and secondary prevention settings. In addition, current evidence from observational studies suggests that the coexistence of elevated remnant cholesterol and low-grade inflammation further increases the risk of ASCVD.

SUMMARY

Recent observational studies suggest that high remnant cholesterol combined with low-grade inflammation may confer a particular high risk for ASCVD. Attention on the dual threat from high remnant cholesterol and low-grade inflammation is necessary, and further research in this field is warranted. The effect of remnant cholesterol-lowering drugs and anti-inflammatory drugs on ASCVD risk alone and combined remains to be elucidated.

VIDEO ABSTRACT

http://links.lww.com/COCN/A20.

Associations of the triglyceride-glucose index and remnant cholesterol with coronary artery disease: a retrospective study

BACKGROUND

Remnant cholesterol (RC) represents a low-cost and readily measured lipid index that contributes significantly to residual cardiovascular disease risk. The triglyceride-glucose (TyG) index exhibits a significant correlation with cardiovascular disease occurrence. However, RC and the TyG index have rarely been examined for their potentials in predicting coronary artery disease (CAD). Accordingly, the study was designed to validate the correlations of these two biomarkers with CAD and to compare the forecasted values of these two biomarkers for newly diagnosed CAD.

METHODS

Totally 570 subjects firstly administered coronary angiography were enrolled, including 431 newly diagnosed CAD cases and 139 individuals without CAD. The individuals were classified into two groups according to CAD diagnosis. RC was derived as total cholesterol content (mmol/L) - (high density lipoprotein cholesterol content + low density lipoprotein cholesterol content; both in mmol/L). The TyG index was determined as ln (fasting triglyceride level [mg/dL] × fasting plasma glucose level [mg/dL])/2.

RESULTS

Baseline feature analysis revealed significant differences in RC and the TyG index between the CAD and non-CAD groups (both P < 0.001). RC and the TyG index were independent risk factors for CAD in accordance with logistic regression analysis (both P < 0.05). Moreover, spearman correlation analysis elucidated CAD had a more remarkable correlation with the TyG index compared with RC (both P < 0.001). Furthermore, according to receiver operating characteristic curve analysis, the TyG index was better than RC in predicting CAD.

CONCLUSIONS

The TyG index and RC have significant associations with CAD. Compared with RC, the TyG index possesses a closer correlation with CAD and a higher predictive value for CAD.

Optimization of the MACE endpoint composition to increase power in studies of lipid-lowering therapies-a model-based meta-analysis

Aims

To develop a model-informed methodology for the optimization of the Major Adverse Cardiac Events (MACE) composite endpoint, based on a model-based meta-analysis across anti-hypercholesterolemia trials of statin and anti-PCSK9 drugs.

Methods and results

Mixed-effects meta-regression modeling of stand-alone MACE outcomes was performed, with therapy type, population demographics, baseline and change over time in lipid biomarkers as predictors. Randomized clinical trials up to June 28, 2022, of either statins or anti-PCSK9 therapies were identified through a systematic review process in PubMed and ClinicalTrials.gov databases. In total, 54 studies (270,471 patients) were collected, reporting 15 different single cardiovascular events. Treatment-mediated decrease in low density lipoprotein cholesterol, baseline levels of remnant and high-density lipoprotein cholesterol as well as non-lipid population characteristics and type of therapy were identified as significant covariates for 10 of the 15 outcomes. The required sample size per composite 3- and 4-point MACE endpoint was calculated based on the estimated treatment effects in a population and frequencies of the incorporated events in the control group, trial duration, and uncertainty in model parameters.

Conclusion

A quantitative tool was developed and used to benchmark different compositions of 3- and 4-point MACE for statins and anti-PCSK9 therapies, based on the minimum population size required to achieve statistical significance in relative risk reduction, following meta-regression modeling of the single MACE components. The approach we developed may be applied towards the optimization of the design of future trials in dyslipidemia disorders as well as in other therapeutic areas.

Remnant Cholesterol in Young Adulthood Is Associated With Left Ventricular Remodeling and Dysfunction in Middle Age: The CARDIA Study

BACKGROUND

Recent studies have shown that remnant cholesterol (RC) is associated with incident heart failure; however, its association with left ventricular (LV) structure and function is unclear. We aimed to evaluate the association between RC levels in young adulthood and LV structure and function in middle age.

METHODS

We included 3321 participants from the CARDIA study (Coronary Artery Risk Development in Young Adults) at baseline. RC was calculated as total cholesterol minus high-density lipoprotein cholesterol minus calculated low-density lipoprotein cholesterol, and the RC trajectories that followed a similar pattern of change over time were identified using the latent class growth mixture model. LV structure and function were assessed using echocardiography at CARDIA study year 25. Multivariable linear regression models were performed to assess the associations of both baseline and trajectories of RC levels with LV structure and function.

RESULTS

Among 3321 participants, the mean age was 24.99±3.62 years: 1450 (43.90%) were male, and 1561 (47.00%) were Black. After multivariate adjustment, higher baseline RC (per SD in log-transformed) was associated with higher LV mass index (β=1.29; P=0.004), worse global longitudinal strain (β=0.19; P<0.001), worse global circumferential strain (β=0.16; P=0.014), lower septal e' (β=-0.26; P<0.001), lower lateral e' (β=-0.18; P=0.003), and higher E/e' (β=0.15; P=0.003). Three RC trajectories were identified during follow-up: low increasing (42.4%), moderate increasing (45.5%), and high increasing (12.1%). Similarly, compared with the low-increasing group, the high-increasing RC trajectory group was related to higher LV mass index, worse global longitudinal strain, lower septal e', lower lateral e', and higher E/e'.

CONCLUSIONS

Elevated RC levels in young adulthood were related to adverse LV structural and functional alterations in midlife. Long-term trajectories of RC levels during young adulthood help identify individuals at a higher risk for adverse LV remodeling and dysfunction.

REGISTRATION

URL: https://www.clinicaltrials.gov; Unique identifier: NCT00005130.

Remnant cholesterol, low-density lipoprotein cholesterol, and incident cardiovascular disease among Koreans: a national population-based study

AIMS

The synergistic association of remnant cholesterol (remnant-C) and low-density lipoprotein cholesterol (LDL-C) levels with incident cardiovascular disease (CVD) in various subgroups of Koreans was investigated.

METHODS AND RESULTS

Using the national health insurance data, we included subjects aged between 40 and 70 years without a history of CVD and at least two health screenings between 2009 and 2011. The subjects were divided into four groups by LDL-C and remnant-C levels. The primary outcome was CVD, which occurred between 2014 and 2017. Among 3 686 034 (45.6% women) subjects, 144 004 cardiovascular events occurred. Individuals in both high LDL-C and high remnant-C [hazard ratio (HR) 1.266, 95% confidence interval (CI) 1.243-1.289; 7.9%], high LDL-C only (HR 1.098, 95% CI 1.083-1.113; 21.2%), and high remnant-C only groups (HR 1.102, 95% CI 1.087-1.118; 19.1%) had higher risks of CVD than those in the reference group (LDL-C < 3.4 mmol/L and remnant-C < 0.8 mmol/L; 51.8%). A continuous and linear increase in CVD risk was found in those with higher remnant-C levels after adjustment for several confounders, including LDL-C levels. The association of remnant-C ≥ 0.8 mmol/L with an increased CVD risk was consistent across various strata.

CONCLUSIONS

Combined high remnant-C and LDL-C levels confer a higher CVD risk than that individually. Elevated remnant-C values independent of LDL-C levels were associated with a risk of incident CVD. Remnant cholesterol levels in addition to LDL-C levels are important considerations in risk stratification for the primary prevention of CVD.

Can remnant cholesterol (triglyceride-rich lipoproteins) reclassify estimated risk of atherosclerotic cardiovascular disease?

PURPOSE OF REVIEW

To summarize recent studies analyzing reclassification of estimated risk of myocardial infarction (MI) and ischemic heart disease (IHD) by inclusion of remnant cholesterol (= cholesterol content in triglyceride-rich lipoproteins) in primary and secondary prevention settings.

RECENT FINDINGS

For individuals in a primary prevention setting with remnant cholesterol levels at least 95th percentile (≥1.6 mmol/l, 61 mg/dl), 23% of MI and 21% of IHD events developed later were reclassified correctly from below to above 5% for 10-year occurrence when remnant cholesterol levels were added to models based on conventional risk factors, whereas no events were reclassified incorrectly. Overall improved reclassification of MI was also observed for remnant cholesterol levels as low as at least 50th percentile (≥0.6 mmol/l, 25 mg/dl); however, the addition of remnant cholesterol over the entire concentration range yielded insignificant improvements of NRI for MI but slightly improved reclassification of NRI for IHD. In a secondary prevention setting, addition of remnant cholesterol over the entire concentration range to a conventional risk model improved reclassification.

SUMMARY

Elevated remnant cholesterol levels considerably improves reclassification of individuals who later develop MI and IHD, in primary as well as in secondary prevention settings.