Impact of remnant cholesterol to high-density lipoprotein cholesterol ratio on risk of incident ASCVD: the Kailuan prospective cohort study.

IF 4.1 2区医学 Q2 NUTRITION & DIETETICS

Nutrition & Metabolism Pub Date : 2025-05-26 DOI:10.1186/s12986-025-00948-7

Yizhen Tan, Shuohua Chen, Zhe Huang, Xiangfeng Lu, Jianxin Li, Youxin Wang, Shouling Wu, Ying Wu, Yuntao Wu, Yun Li

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引用次数: 0

Abstract

Background: The study utilized the remnant cholesterol (RC) to high-density lipoprotein cholesterol (HDL-C) ratio as a lipidemia indicator. Assessing its long-term impact on cardiovascular disease (ASCVD) is crucial for primary prevention.

Methods: 84,380 participants were enrolled in the prospective cohort. Participants were classified into low, medium, and high levels based on baseline RC/HDL-C levels at the 50th percentile and 90th percentile. Participants were followed until December 31, 2023. Calculate the incidence density of ASCVD for each group. The time-dependent Cox proportional hazards model was utilized to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for ASCVD risk among different groups.

Results: The study included 42,181, 33,739, and 8460 participants in the low, medium, and high levels respectively. A median follow-up of 16.92 years, 8397 ASCVD cases were identified. The 1000 person-years incidence density and 95% CIs for ASCVD were 5.86 (5.67, 6.05) in the low level, 6.92 (6.70, 7.15) in the medium level, and 8.85 (8.35, 9.39) in the high level. Compared to the low level, the Cox model showed that the HRs and 95% CIs for ASCVD were 1.09 (1.04, 1.14) and 1.23 (1.15, 1.32), respectively in medium and high levels.

Conclusion: Higher RC/HDL-C level was significantly associated with an increased risk of ASCVD. Including the RC/HDL-C in lipid evaluation can reduce the onset of ASCVD.

Clinical trial registration number: ChiCTR2000029767.

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残余胆固醇与高密度脂蛋白胆固醇比值对ASCVD发生风险的影响：开滦前瞻性队列研究

背景：本研究利用残余胆固醇（RC）与高密度脂蛋白胆固醇（HDL-C）比值作为血脂指标。评估其对心血管疾病（ASCVD）的长期影响对于初级预防至关重要。方法：84,380名参与者被纳入前瞻性队列。根据第50百分位和第90百分位的基线RC/HDL-C水平，将参与者分为低、中、高水平。参与者被跟踪到2023年12月31日。计算各组ASCVD的发病率密度。采用时间相关Cox比例风险模型计算不同组间ASCVD风险的风险比（hr）和95%置信区间（ci）。结果：该研究包括低、中、高水平的42,181、33,739和8460名参与者。中位随访16.92年，发现8397例ASCVD病例。低水平的1000人年发病率密度和95% ci分别为5.86（5.67,6.05）、6.92（6.70,7.15）和8.85（8.35,9.39）。与低水平相比，Cox模型显示中、高水平ASCVD的hr和95% ci分别为1.09（1.04,1.14）和1.23（1.15,1.32）。结论：较高的RC/HDL-C水平与ASCVD风险增加显著相关。在脂质评估中纳入RC/HDL-C可降低ASCVD的发病。临床试验注册号：ChiCTR2000029767。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

审稿时长

4-8 weeks

期刊介绍： Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.