The Remnant Cholesterol is associated with CVD incidence: A general population cohort study in Southwest China

Autor: Chengxi Liu, Mi Dai, Kunming Tian, Shiyu Zhou, Lei Luo, Zhiying Zeng, Xuelian Yan, Ying Xiao, Yiying Wang, Renli Deng, Xiuhong Lei, Tao Liu
Rok vydání: 2023
Popis: Emerging evidence has indicated that remnant cholesterol (RC) could predict cardiovascular disease (CVD) incidence. Nevertheless, the relationship of RC with CVD risk, especially within the general Chinese population remains scarce. The purpose of the present research was to assess that RC concentrations and CVD outcomes in general Chinese adults are related. The Cox proportional hazard model was established to explore the relationship for RC and the outcomes of CVD and CVD subgroups. A restricted cubic spline (RCS) was utilized to investigate the dose-response connection between RC and the risk of CVD outcomes, and the ROC curve was used to calculate the corresponding cut-off values. Moreover, stratified analysis was carried out to investigate the potential effect modification in the association between RC and CVD outcomes. Significant positive associations were found between elevated categorical RC and increased risk of CVD (HR Q4, 1.80; 95% CI 1.15–2.79; P-trend = 0.008), Atherosclerotic cardiovascular disease (HR Q4, 2.00; 95% CI 1.22–3.27; P-trend = 0.007), Stroke (HR Q4, 1.66; 95% CI 1.02–2.69; P-trend = 0.040), and Ischemic stroke (HR Q4, 1.87, 95% CI 1.08–3.25; P-trend = 0.034), respectively. Our study suggested that the incidence of CVD outcomes increased when RC levels were above 0.75 mmol/L. Importantly, the CVD risks related with RC were more likely to be those aged>60 years, females, BMI 2, and who with hypertension and unhealthy diet patterns. In conclusion, aberrant high level of RC is associated with elevated CVD risk, and independent of low-density lipoprotein cholesterol (LDL-C). Our data reveal urgent primary prevention for subjects with high RC levels to low incidence of CVD, especially for the elderly, females, and those with hypertension and unhealthy diet patterns.
Databáze: OpenAIRE