摘要目的:基于胸部平扫CT探讨心外膜脂肪组织（EAT）与频发室性早搏（PVC）的关系，以评估EAT对PVC高负荷水平的预测价值。方法:采用病例对照研究，于2021年1月至2023年6月在新疆医科大学第一附属医院收集频发室性早搏患者，根据24 h动态心电图中PVC负荷水平，将研究对象分为PVC高负荷组（≥20%）和PVC低负荷组（<20%）。基于胸部平扫CT的图像获取EAT的参数特征，采用多因素logistic回归模型分析来评估PVC高负荷水平的相关因素，采用受试者特征工作（ROC）曲线评估模型的预测效力。结果:共纳入研究对象166例，其中PVC高负荷组50例，PVC低负荷组116例。与PVC低负荷组相比，高负荷组的EATV显著增加（ Z=4.83， P<0.001），且高负荷组的EATA显著低于对照组（ t=-3.95， P<0.001），但EATD的对比，差异无统计学意义（ Z=-1.56， P=0.120）。多因素logistic回归模型分析显示，高EATV和低EATA是PVC高负荷水平的相关因素［EATV： OR=1.01（95% CI：1.00~1.02），EATA： OR=1.16（95% CI：1.02~1.32）］。EATV和EATA对PVC高负荷水平预测的ROC曲线下面积为0.79（95% CI：0.71~0.86）。 结论:EATV和EATA是PVC高负荷水平的相关因素，并对PVC高负荷水平具有预测价值。

abstractsObjective:To investigate the relationship between epicardial adipose tissue (EAT) and frequent premature ventricular contractions (PVC) based on no-contrast chest CT scanning and evaluate the predictive value of EAT for high PVC loading levels.Methods:A case-control study was conducted to collect patients with PVC from January 2021 to June 2023 in the First Affiliated Hospital of Xinjiang Medical University. The study subjects were divided into a PVC high-load group (≥20%) and a PVC low-load group (<20%) based on the level of PVC loading in the 24-hour Holter electrocardiography monitoring. The parameter characteristics of EAT were obtained from no-contrast chest CT images. Multivariate logistic regression model analysis was used to assess the factors associated with high PVC loading levels, and the receiver operating characteristic (ROC) curve was used to assess the predictive value of the model.Results:A total of 166 subjects were included in the study, including 50 in the PVC high-load group and 116 in the PVC low-load group. Compared with the PVC low-load group, EATV was significantly increased in the high-load group ( Z=4.83, P<0.001), and EATA was significantly lower in the high-load group than in the low-load group ( t=-3.95, P<0.001). However, there was no statistically significant difference for the comparison of EATD ( Z=-1.56, P=0.120). Multivariate logistic regression model analysis showed that high EATV and low EATA were factors of high PVC loading levels [EATV: OR=1.01 (95% CI: 1.00-1.02), EATA: OR=1.16 (95% CI: 1.02-1.32)]. The area under the ROC curve for predicting high PVC loading levels by EATV and EATA was 0.79 (95% CI: 0.71-0.86). Conclusion:EATV and EATA are factors of high PVC loading levels and have predictive value for high PVC loading levels.