Xingye Wu,^1,* Ruibing Qi,^1,* Jiaqin Jiang,¹ Quan Lu,¹ Xiaoying Chen,¹ Jiacheng Mo,² Jinming Yu,^1,* Zhengming Li<sup>1,*

1</sup>Department of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, People’s Republic of China; ²Information Network Management Center, the Health Governance and Smart Medical Engineering Research Center of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences and the People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Jinming Yu, Department of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, People’s Republic of China, Email 13907719098@163.com Zhengming Li, Department of Endocrinology and Metabolism, Guangxi Academy of Medical Sciences and the People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, People’s Republic of China, Email zhengming_li_111@163.com

目的：探讨肝脏受控衰减参数（CAP）与2型糖尿病（T2DM）患病风险之间的关系，并确定CAP预测T2DM的最佳截断值。

方法：本研究采用横断面研究设计，共纳入7,035名参与者。通过肝脏瞬时弹性成像技术测量CAP值，将参与者分为低CAP组（≤231 dB/m）、中CAP组（232~269 dB/m）和高CAP组（≥270 dB/m）。采用多因素logistic回归分析评估CAP与2型糖尿病的关联性，并通过受试者工作特征（ROC）曲线确定最佳截断值。

结果：在调整潜在混杂因素后，高水平CAP组的参与者患T2DM的风险显著高于低水平CAP组的参与者 (OR =1.545；95% CI= 1.263-1.890；p<0.001)。分层分析显示，与低水平组相比，CAP水平每增加1.0，年龄<55岁人群发生T2DM的风险增加0.852倍(OR = 1.852;95% CI = 1.405-2.441;p <0.001)，超重患者(BMI≥24Kg/㎡)发生T2DM的风险增加0.6倍(OR = 1.600;95% CI = 1.127-2.271;p =0.009)。ROC曲线分析显示，CAP预测T2DM的最佳截断值为246.5dB/m，曲线下面积为0.569(特异性为48.2%，敏感性为64.2%)。