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心外膜脂肪衰减而非体积预测非典型胸痛患者的阻塞性冠状动脉疾病和高危斑块特征。

Epicardial fat attenuation, not volume, predicts obstructive coronary artery disease and high risk plaque features in patients with atypical chest pain.

机构信息

Department of Cardiovascular Radiology & Endovascular Interventions, All India Institute of Medical Sciences, New Delhi-110029, India.

出版信息

Br J Radiol. 2020 Oct 1;93(1114):20200540. doi: 10.1259/bjr.20200540. Epub 2020 Aug 26.

Abstract

OBJECTIVE

This study sought to investigate the association between volume and attenuation of epicardial fat and presence of obstructive coronary artery disease (CAD) and high-risk plaque features (HRPF) on CT angiography (CTA) in patients with atypical chest pain and whether the association, if any, is independent of conventional cardiovascular risk factors and coronary artery calcium score (CACS).

METHODS

Patients referred for coronary CTA with atypical chest pain and clinical suspicion of CAD were included in the study. Quantification of CACS, epicardial fat volume (EFV) and epicardial fat attenuation (EFat) was performed on non-contrast images. CTA was evaluated for presence of obstructive CAD and presence of HRPF.

RESULTS

255 patients (median age [interquartile range; IQR]: 51[41-60] years, 51.8% males) were included. On CTA, CAD, obstructive CAD (≥50% stenosis) and CTA-derived HRPFs was present in 133 (52.2%), 37 (14.5%) and 82 (32.2%) patients respectively. A significantly lower EFat was seen in patients with obstructive CAD than in those without (-86HU [IQR:-88 to -82 HU] -84 [IQR:-87 HU to -82 HU]; = 0.0486) and in patients with HRPF compared to those without (-86 HU [IQR:-88 to -83 HU] -83 HU [-86 HU to -81.750 HU]; < 0.0001). EFat showed significant association with obstructive CAD (unadjusted Odd's ratio (OR) [95% CI]: 0.90 [0.81-0.99]; = 0.0248) and HRPF (unadjusted OR [95% CI]: 0.83 [0.76-0.90]; < 0.0001) in univariate analysis, which remained significant in multivariate analysis. However, EFV did not show any significant association with neither obstructive CAD nor HRPF in multivariate analysis. Adding EFat to conventional coronary risk factors and CACS in the pre-test probability models increased the area-under curve (AUC) for prediction of both obstructive CAD (AUC[95% CI]: 0.76 [0.70-0.81] 0.71 [0.65-0.77)) and HRPF (AUC [95% CI]: 0.92 [0.88-0.95] 0.89 [0.85-0.93]), although not reaching statistical significance.

CONCLUSION

EFat, but not EFV, is an independent predictor of obstructive CAD and HRPF. Addition of EFat to traditional cardiovascular risk factors and CACS improves estimation for pretest probability of obstructive CAD and HRPF.

ADVANCES IN KNOWLEDGE

EFat is an important attribute of epicardial fat as it reflects the "quality" of fat, taking into account the effects of brown-white fat transformation and fibrosis, as opposed to mere evaluation of "quantity" of fat by EFV. Our study shows that EFat is a better predictor of obstructive CAD and HRPF than EFV and can thus explain the inconsistent association of increased EFV alone with CAD.

摘要

目的

本研究旨在探讨在有非典型胸痛且临床怀疑 CAD 的患者中,心外膜脂肪的体积和衰减与 CT 血管造影(CTA)上存在阻塞性 CAD 和高危斑块特征(HRPF)之间的相关性,以及这种相关性是否独立于传统心血管危险因素和冠状动脉钙评分(CACS)。

方法

本研究纳入了因非典型胸痛而接受冠状动脉 CTA 检查且临床怀疑 CAD 的患者。在非增强图像上对 CACS、心外膜脂肪体积(EFV)和心外膜脂肪衰减(EFat)进行量化。对 CTA 进行评估以确定是否存在阻塞性 CAD 和 HRPF。

结果

共纳入 255 例患者(中位年龄[四分位数范围;IQR]:51[41-60]岁,51.8%为男性)。在 CTA 上,133 例(52.2%)、37 例(14.5%)和 82 例(32.2%)患者分别存在 CAD、阻塞性 CAD(≥50%狭窄)和 CTA 衍生的 HRPF。与无 CAD 的患者相比,阻塞性 CAD 患者的 EFat 明显降低(-86HU[IQR:-88 至-82 HU]与-84[IQR:-87 HU 至-82 HU];=0.0486),与无 HRPF 的患者相比,EFat 也明显降低(-86HU[IQR:-88 至-83 HU]与-83 HU[-86 HU 至-81.750 HU];<0.0001)。EFat 与阻塞性 CAD(未调整的优势比[95%CI]:0.90[0.81-0.99];=0.0248)和 HRPF(未调整的优势比[95%CI]:0.83[0.76-0.90];<0.0001)具有显著相关性,在多变量分析中仍然具有显著相关性。然而,在多变量分析中,EFV 与阻塞性 CAD 或 HRPF 均无显著相关性。在预测阻塞性 CAD(AUC[95%CI]:0.76[0.70-0.81]与 0.71[0.65-0.77])和 HRPF(AUC[95%CI]:0.92[0.88-0.95]与 0.89[0.85-0.93])方面,将 EFat 加入传统心血管危险因素和 CACS 后,预测模型的曲线下面积(AUC)增加,尽管未达到统计学意义。

结论

EFat 而非 EFV 是阻塞性 CAD 和 HRPF 的独立预测因子。将 EFat 加入传统心血管危险因素和 CACS 可改善阻塞性 CAD 和 HRPF 的术前概率估计。

知识进步

EFat 是心外膜脂肪的一个重要属性,因为它反映了脂肪的“质量”,考虑到棕色-白色脂肪转化和纤维化的影响,而不是仅仅通过 EFV 评估脂肪的“数量”。我们的研究表明,EFat 是阻塞性 CAD 和 HRPF 的更好预测因子,优于 EFV,因此可以解释单独增加 EFV 与 CAD 之间的不一致关联。

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