Wang Tingqiu, Wang Zhigang, Luo Peng
Department of Ultrasound, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Diagnostics (Basel). 2025 May 10;15(10):1208. doi: 10.3390/diagnostics15101208.
: This study investigates the link between metabolic dysfunction-associated fatty liver disease (MAFLD) and coronary artery disease (CAD) using the ultrasonographic fatty liver indicator (US-FLI) to assess liver steatosis. : A total of 204 patients were included, with hepatic steatosis evaluated through ultrasound characteristics, diagnosing fatty liver when US-FLI was ≥2. CAD severity was determined using the SYNTAX score (SS), categorizing 100 CAD patients into mild (SS ≤ 22) and moderate-severe (MS) (SS ≥ 23) groups. The association between US-FLI and SS in patients with MAFLD was evaluated through the multivariate logistic regression model. A receiver operating characteristic curve was applied to determine the accuracy, sensitivity, and specificity of US-FLI in predicting SS. : In the multivariate logistic regression analysis, US-FLI was an independent predictor of the CAD group (OR = 1.194, 95% CI: 1.008-1.414, = 0.040) and the MS group (OR = 1.262, 95% CI: 1.025-1.553, = 0.028). In the receiver operating characteristic curve analysis, a US-FLI value of 2 was found to be the optimal threshold point for diagnosing MS CAD patients (AUC = 0.620, 95% CI: 0.509-0.713, = 0.039), with a sensitivity of 65.22% and a specificity of 55.56%. The diagnostic performance of MS CAD patients significantly improved when US-FLI was combined with type 2 diabetes mellitus (T2DM) (AUC = 0.732, 95% CI: 0.632-0.832, < 0.001), with a sensitivity of 65.22% and specificity of 77.78%. : US-FLI was independently and positively associated with CAD severity. US-FLI combined with T2DM had better diagnostic performance in patients with MS CAD.
本研究使用超声脂肪肝指数(US-FLI)评估肝脂肪变性,调查代谢功能障碍相关脂肪性肝病(MAFLD)与冠状动脉疾病(CAD)之间的联系。共纳入204例患者,通过超声特征评估肝脂肪变性,当US-FLI≥2时诊断为脂肪肝。使用SYNTAX评分(SS)确定CAD严重程度,将100例CAD患者分为轻度(SS≤22)和中重度(MS)(SS≥23)组。通过多因素逻辑回归模型评估MAFLD患者中US-FLI与SS之间的关联。应用受试者工作特征曲线确定US-FLI预测SS的准确性、敏感性和特异性。在多因素逻辑回归分析中,US-FLI是CAD组(比值比[OR]=1.194,95%置信区间[CI]:1.008-1.414,P=0.040)和MS组(OR=1.262,95%CI:1.025-1.553,P=0.028)的独立预测因子。在受试者工作特征曲线分析中,发现US-FLI值为2是诊断MS CAD患者的最佳阈值点(曲线下面积[AUC]=0.620,95%CI:0.509-0.713,P=0.039),敏感性为65.22%,特异性为55.56%。当US-FLI与2型糖尿病(T2DM)联合使用时,MS CAD患者的诊断性能显著提高(AUC=0.732,95%CI:0.632-0.832,P<0.001),敏感性为65.22%,特异性为77.78%。US-FLI与CAD严重程度独立正相关。US-FLI联合T2DM在MS CAD患者中具有更好的诊断性能。