Prediction of renal allograft chronic rejection using a model based on contrast-enhanced ultrasonography
Prediction of renal allograft chronic rejection using a model based on contrast-enhanced ultrasonography
复制标题
使用基于超声造影的模型预测肾同种异体移植慢性排斥反应
DOI:
10.1111/micc.12544
复制
发表时间:
2019-08-01
期刊:
影响因子:
2.4
通讯作者:
He, Wanyuan
中科院分区:
文献类型:
--
作者:
Yang, Cheng;Wu, Shengdi;He, Wanyuan
Objective To evaluate the application of contrast-enhanced ultrasonography (CEUS) for the diagnosis of renal allograft chronic rejection (CR). Methods A total of 104 patients who were suspected to have AR or CR were enrolled in this study (derivation group, n = 66; validation group, n = 38). Before biopsy, all patients received an ultrasound examination. Results In the CR group, rising time (RT) and time to peak (TTP) of medulla (RTm and TTPm, respectively) were significantly longer compared to those in the AR group. The kidney volume was significantly decreased in the CR group but was increased in the AR group. In the derivation group, age, change in kidney volume, and TTPm were identified as independent predictors by multivariate analysis. Based on the multivariate analysis results and area under receiver operating characteristic (ROC) curves (AUROCs) of individual markers, we constructed a new index as follows: P = -5.424 + 0.074 x age -9.818 x kidney volume change + 0.115 x TTPm; New Index = e(P)/(1 + e(P)). The new index discriminates CR from AR and had better AUROCs than any other parameters. Conclusion In conclusion, the new index provides a new diagnosis model for CR.