The aim of this retrospective study was to determine the relationship between non-traditional lipid parameters and epicardial adipose tissue (EAT). A total of 770 patients with coronary computed tomography angiography examinations were included. The non-traditional lipid parameters included the atherogenic index of plasma (AIP), the atherogenic coefficient (AC), monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR), and lipoprotein combined index (LCI). To investigate the association between non-conventional lipid markers and the EAT-volume (EAT-v), a univariate and multivariate analyses were conducted. The receiver operating characteristic (ROC) analysis was used to compare the predictive ability among the four non-traditional lipid parameters. In the univariate analysis, we identified factors that might have effects on EAT-v (all P<.05) and adjusted for these in the multivariate analysis. We found that except for MHR, other non-traditional lipid parameters were still associated with high EAT-v after adjustment (all P<.05). In the ROC analysis, the area under the curve (AUC) of AIP was greater than that of other non-traditional lipid parameters and lipid profiles. There was an association between both non-traditional lipid parameters and EAT-v. After adjustment, the AIP remained an independent predictor of EAT-v and it outperformed other non-traditional lipid parameters.

中文翻译：

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探索非传统脂质参数与心外膜脂肪组织体积之间的关联。

这项回顾性研究的目的是确定非传统脂质参数与心外膜脂肪组织（EAT）之间的关系。共纳入770例接受冠状动脉计算机断层扫描血管造影检查的患者。非传统脂质参数包括血浆致动脉粥样硬化指数（AIP）、致动脉粥样硬化系数（AC）、单核细胞与高密度脂蛋白胆固醇（HDL-C）比率（MHR）和脂蛋白综合指数（LCI）。为了研究非常规脂质标志物与 EAT 体积 (EAT-v) 之间的关联，进行了单变量和多变量分析。采用受试者工作特征（ROC）分析来比较四种非传统血脂参数的预测能力。在单变量分析中，我们确定了可能影响 EAT-v 的因素（所有 P<.05），并在多变量分析中针对这些因素进行了调整。我们发现，除MHR外，其他非传统脂质参数调整后仍与高EAT-v相关（均P<.05）。在ROC分析中，AIP的曲线下面积（AUC）大于其他非传统脂质参数和脂质谱。非传统脂质参数与 EAT-v 之间存在关联。调整后，AIP 仍然是 EAT-v 的独立预测因子，并且优于其他非传统脂质参数。