神经酰胺可改善心血管风险预测,而非低密度脂蛋白胆固醇

A. Leiherer, A. Muendlein, C. Saely, R. Laaksonen, P. Fraunberger, H. Drexel
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摘要

低密度脂蛋白胆固醇(LDL-C)是有据可查的最佳心血管风险预测指标,同时也是降脂治疗的目标。然而,低密度脂蛋白胆固醇预测风险的能力会受到高龄、合并症和药物治疗的影响,而这些因素都会影响胆固醇水平。因此,这种有偏差的患者队列通常在 LDL-C 与心血管或总体死亡率之间呈现 U 型或反向关系。目前还不清楚这些风险预测限制是否同样适用于其他血脂风险指标,尤其是神经酰胺和磷脂酰胆碱。 在这项观察性队列研究中,我们记录了 1195 名患者长达 16 年的心血管死亡率,共计 12.262 个患者年。患者基线年龄的中位数为 67 岁。所有参与者要么连续转诊接受选择性冠状动脉造影术,要么被诊断患有外周动脉疾病,这表明他们具有较高的心血管风险。基线时,51%的患者正在接受他汀类药物治疗。 我们发现,低密度脂蛋白胆固醇与心血管死亡率呈 U 型关系,低密度脂蛋白胆固醇的谷值水平约为 150 毫克/分升。Cox 回归分析显示,低密度脂蛋白胆固醇和其他胆固醇种类无法预测心血管风险。与此相反,含有神经酰胺和磷脂酰胆碱的标记物没有发现 U 型关系,但发现了线性关系,即使经过多变量调整,这些标记物也能显著预测心血管风险。 因此,我们建议,在对高危患者进行更准确的心血管风险预测时,可以使用基于神经酰胺和磷脂酰胆碱的预测指标,而不是低密度脂蛋白胆固醇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ceramides improve cardiovascular risk prediction beyond LDL-cholesterol
LDL-cholesterol (LDL-C) is the best documented cardiovascular risk predictor and at the same time serves as a target for lipid-lowering therapy. However, the power of LDL-C to predict risk is biased by advanced age, comorbidities, and medical treatment, all known to impact cholesterol levels. Consequently, such biased patient cohorts often feature a U-shaped or inverse association between LDL-C and cardiovascular or overall mortality. It is not clear whether these constraints for risk prediction may likewise apply to other lipid risk markers in particular to ceramides and phosphatidylcholines. In this observational cohort study, we recorded cardiovascular mortality in 1195 patients over a period of up to 16 years, comprising a total of 12.262 patient-years. The median age of patients at baseline was 67 years. All participants were either consecutively referred to elective coronary angiography or diagnosed with peripheral artery disease, indicating a high cardiovascular risk. At baseline, 51% of the patients were under statin therapy. We found a U-shaped association between LDL-C and cardiovascular mortality with a trough level around 150 mg/dL of LDL-C. Cox regression analyses revealed that LDL-C and other cholesterol species failed to predict cardiovascular risk. In contrast, no U-shaped but a linear association was found for ceramide- and phosphatidylcholine-containing markers and these markers were able to significantly predict the cardiovascular risk even after multivariate adjustment. We thus suggest that ceramides- and phosphatidylcholine-based predictors rather than LDL-C can be used for a more accurate cardiovascular risk prediction in high-risk patients.
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