Cumulative exposure to high remnant-cholesterol concentrations increases the risk of cardiovascular disease in patients with hypertension: a prospective cohort study

Cumulative remnant cholesterol burden increases the risk of cardiovascular disease among young adults

BACKGROUND

Previous studies have shown that remnant cholesterol (RC) was associated with cardiovascular disease (CVD) among middle-aged or older adults. However, lack of evidence on long-term exposures to RC and their role in CVD risk among young adults. We thus aimed to explore the association between cumulative RC burden and CVD in young adults.

METHODS

We enrolled participants younger than 45 years free of CVD history in the Kailuan Study who completed the first three health examinations from 2006 to 2010. Cumulative RC burden included cumulative RC burden score, time-weighted cumulative RC, exposure duration of high RC, and time course of RC accumulation. The outcome was the incidence of CVD. Cox proportional hazard models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) between cumulative RC burden and CVD risk.

RESULTS

A total of 15,219 participants were included (73.70% male, median age 39.13 years). During a median follow-up duration of 8.71 years (interquartile range: 8.4-9.15 years), 502 individuals developed CVD. After adjustment for traditional cardiovascular risk factors, highest risk of CVD was observed in participants with the highest cumulative RC burden score (HR, 1.66; 95% CI, 1.29-2.12), the highest quartile time-weighted cumulative RC (HR,1.50; 95% CI, 1.15-1.96), the longest exposure duration of high RC (HR, 1.71; 95% CI, 1.21-2.42), and those with cumulative RC burden and positive slope (HR, 1.79; 95% CI, 1.35-2.36).

CONCLUSIONS

Cumulative RC burden increased the risk of CVD among young adults, suggesting that maintaining low RC levels throughout young adulthood may minimize CVD risk.

KEY LEARNING POINTS

Distribution of triglyceride-rich lipoproteins and their remnants and their contribution to cardiovascular risk in the Mexican population

BACKGROUND AND AIMS

In recent years, scientific interest in triglyceride-rich lipoproteins (TRL) and remnant cholesterol has increased, focusing on the evidence that these lipoproteins are a causal factor for developing atherosclerotic cardiovascular disease (ASCVD). Furthermore, a high remnant concentration (>38 mg/dL) has been associated with several non-cardiovascular risks. We aimed in this study to describe the percentile distribution of remnant cholesterol. Additionally, we evaluated the association between remnant cholesterol plasma concentration and epidemiologically relevant cardio-metabolic outcomes such as hypertension, type 2 diabetes (T2D), and ASCVD.

METHODS

We analyzed data from 9,591 adults from the National Survey of Health and Nutrition (ENSANUT) 2018 with fasting blood samples and complete medical history questionnaires. We built multivariate models to evaluate the association between chronic diseases and blood remnant concentration. To compare our 2018-sub-sample against a population reference, we used the NHANES (2005-2014) publicly available datasets by ethnicity.

RESULTS

Remnants were independently associated with cardiovascular risk, diabetes, hypertension, obesity, and metabolic syndrome. For all outcomes, the blood remnant concentration was a stronger predictor than LDL. At all deciles, the blood remnant concentration was higher in ENSANUT-2018.

CONCLUSIONS

A remnant blood concentration above 38 mg/dL was highly prevalent among Mexicans. Remnants were significantly associated with a higher risk of diabetes, hypertension, obesity, and cardiovascular risk. This association occurred independently of other lipid markers.

Association between remnant cholesterol and insulin resistance levels in patients with metabolic-associated fatty liver disease

The relationship between remnant cholesterol (RC) and homeostasis model assessment-insulin resistance (HOMA-IR) in the context of metabolic-associated fatty liver disease (MAFLD) remains an area of ambiguity. This investigation was designed to elucidate the potential association between RC and HOMA-IR in a cohort of American adults diagnosed with MAFLD. Data from 5533 participants were procured from the 2017-2018 US National Health and Nutrition Examination (NHANES) databases. A weighted linear regression model was employed to analyze the association between RC and HOMA-IR in the context of MAFLD. Preliminary analysis revealed that 44.67% of the participants were diagnosed with MAFLD, with a higher prevalence observed in individuals aged 50-64 years (31.84%, p < 0.0001) and in males compared to females (53.48% vs. 46.52%, p < 0.0001). A positive correlation was identified between RC and HOMA-IR in MAFLD patients. The threshold effect analysis model indicated a breakpoint at RC = 30 mg/dl, with a more pronounced positive correlation when RC < 30 mg/dl (β = 0.17, p < 0.001). Receiver operating characteristic analysis further demonstrated that among all lipid parameters, RC exhibited the largest area under the curve. The study findings suggest a positive correlation between RC and HOMA-IR in MAFLD patients, indicating that elevated RC may serve as an independent risk factor for MAFLD.

Cumulative residual cholesterol predicts the risk of cardiovascular disease in the general population aged 45 years and older

BACKGROUND

Numerous studies have affirmed a robust correlation between residual cholesterol (RC) and the occurrence of cardiovascular disease (CVD). However, the current body of literature fails to adequately address the link between alterations in RC and the occurrence of CVD. Existing studies have focused mainly on individual RC values. Hence, the primary objective of this study is to elucidate the association between the cumulative RC (Cum-RC) and the morbidity of CVD.

METHODS

The changes in RC were categorized into a high-level fast-growth group (Class 1) and a low-level slow-growth group (Class 2) by K-means cluster analysis. To investigate the relationship between combined exposure to multiple lipids and CVD risk, a weighted quantile sum (WQS) regression analysis was employed. This analysis involved the calculation of weights for total cholesterol (TC), low-density lipoprotein (LDL), and high-density lipoprotein (HDL), which were used to effectively elucidate the RC.

RESULTS

Among the cohort of 5,372 research participants, a considerable proportion of 45.94% consisted of males, with a median age of 58. In the three years of follow-up, 669 participants (12.45%) had CVD. Logistic regression analysis revealed that Class 2 individuals had a significantly reduced risk of developing CVD compared to Class 1. The probability of having CVD increased by 13% for every 1-unit increase in the Cum-RC according to the analysis of continuous variables. The restricted cubic spline (RCS) analysis showed that Cum-RC and CVD risk were linearly related (P for nonlinearity = 0.679). The WQS regression results showed a nonsignificant trend toward an association between the WQS index and CVD incidence but an overall positive trend, with the greatest contribution from TC (weight = 0.652), followed by LDL (weight = 0.348).

CONCLUSION

Cum-RC was positively and strongly related to CVD risk, suggesting that in addition to focusing on traditional lipid markers, early intervention in patients with increased RC may further reduce the incidence of CVD.