不同体重指数类别的血浆脂质水平的心血管结局和变异性:ARIC研究

IF 2.4 Q3 NUTRITION & DIETETICS
Journal of Nutrition and Metabolism Pub Date : 2025-07-16 eCollection Date: 2025-01-01 DOI:10.1155/jnme/8858333
Tianyu Xu, Chang Chen, De-Wei An, Yuanyuan Zhou, Zhongping Yu, Yuzhong Wu, Dexi Wu, Xin He, Jiangui He, Yugang Dong, Jan A Staessen, Chen Liu, Fang-Fei Wei
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引用次数: 0

摘要

本研究的目的是调查不同体重指数类别的脂质变异性与心血管结局的关系。我们在社区动脉粥样硬化风险(ARICs)研究中招募了6689名参与者(57.1%为女性),他们的总胆固醇(TC)和低密度脂蛋白胆固醇(LDL-C)测量值≥3次。使用Cox回归模型计算与风险比(hr)相关的心力衰竭(HF)、心肌梗死(MI)和死亡率,SD捕获的脂质变异性和独立于平均值的变异性(VIM)增加1-SD。我们还评估了添加脂质变异性是否能改善心血管风险预测,超越传统的危险因素。2130例(31.8%)肥胖患者中,ⅰ、ⅱ级肥胖1907例(89.5%),ⅲ级肥胖223例(10.5%)。在多变量调整分析中,超重(hr范围为1.10 ~ 1.17)、I级和II级肥胖(1.11 ~ 1.14)和III级肥胖(1.21 ~ 1.39)患者的TC和LDL-C变异性与HF显著相关(p≤0.047)。较高的TC和LDL-C变异性导致I级和II级肥胖患者心肌梗死和死亡率升高(p≤0.007)。在常规风险模型中加入TC-VIM和LDL-C-VIM而不是脂质水平显著提高了HF的风险预测,TC-VIM的净重分类改善率为8.95% (p=0.006), LDL-C-VIM的净重分类改善率为8.09% (p=0.012)。升高的TC和LDL-C变异性与心血管结局的风险增加有关,特别是在肥胖中。我们的观察结果强调了脂质变异性在肥胖相关血脂异常中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cardiovascular Outcomes and Variability in Plasma Lipid Levels Across Body Mass Index Categories: The ARIC Study.

Cardiovascular Outcomes and Variability in Plasma Lipid Levels Across Body Mass Index Categories: The ARIC Study.

Cardiovascular Outcomes and Variability in Plasma Lipid Levels Across Body Mass Index Categories: The ARIC Study.

Cardiovascular Outcomes and Variability in Plasma Lipid Levels Across Body Mass Index Categories: The ARIC Study.

The aim of this study was to investigate associations of cardiovascular outcomes with lipid variability across body mass index categories. We identified 6689 participants (57.1% women) enrolled in the Atherosclerosis Risk In Communities (ARICs) study who had ≥ 3 measurements of total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C). Cox regression models were used to compute hazard ratios (HRs)-associated heart failure (HF), myocardial infarction (MI), and mortality with 1-SD increase in lipid variability captured by SD and variability independent of the mean (VIM). We also assessed whether adding lipid variability would improve the cardiovascular risk prediction beyond the conventional risk factors. Among 2130 (31.8%) obese patients, 1907 (89.5%) had obesity classes I and II and 223 (10.5%) had obesity class III. In multivariable-adjusted analyses, TC and LDL-C variabilities were significantly (p ≤ 0.047) associated with HF in overweight (HRs ranging from 1.10 to 1.17), obesity classes I and II (1.11-1.14), and obesity class III (1.21-1.39). Higher TC and LDL-C variabilities conferred higher risk of MI and mortality in obesity classes I and II (p ≤ 0.007). Adding TC-VIM and LDL-C-VIM rather than the lipid level to a conventional risk model significantly improved risk prediction of HF with net reclassification improvement amounting to 8.95% for TC-VIM (p=0.006) and 8.09% for LDL-C-VIM (p=0.012). Elevated TC and LDL-C variabilities were associated with the increased risk of cardiovascular outcomes, particularly in obesity. Our observations highlight the importance of lipid variability in obesity-associated dyslipidemia.

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来源期刊
Journal of Nutrition and Metabolism
Journal of Nutrition and Metabolism NUTRITION & DIETETICS-
CiteScore
5.40
自引率
0.00%
发文量
49
审稿时长
17 weeks
期刊介绍: Journal of Nutrition and Metabolism is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies covering the broad and multidisciplinary field of human nutrition and metabolism. The journal welcomes submissions on studies related to obesity, diabetes, metabolic syndrome, molecular and cellular biology of nutrients, foods and dietary supplements, as well as macro- and micronutrients including vitamins and minerals.
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