Prediction of renal allograft chronic rejection using a model based on contrast-enhanced ultrasonography
- PMID: 30887637
- PMCID: PMC6767498
- DOI: 10.1111/micc.12544
Prediction of renal allograft chronic rejection using a model based on contrast-enhanced ultrasonography
Abstract
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 × age -9.818 × kidney volume change + 0.115 × TTPm; New Index = eP /(1 + eP ). 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.
Keywords: contrast media; diagnostic test; graft Rejection; renal transplantation; ultrasonography.
© 2019 The Authors. Microcirculation Published by John Wiley & Sons Ltd.
Conflict of interest statement
The authors declare no conflicts of interest.
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