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Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography

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). Befor...

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Autores principales: Yang, Cheng, Wu, Shengdi, Yang, Ping, Shang, Guoguo, Qi, Ruochen, Xu, Ming, Rong, Ruiming, Zhu, Tongyu, He, Wanyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767498/
https://www.ncbi.nlm.nih.gov/pubmed/30887637
http://dx.doi.org/10.1111/micc.12544
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author Yang, Cheng
Wu, Shengdi
Yang, Ping
Shang, Guoguo
Qi, Ruochen
Xu, Ming
Rong, Ruiming
Zhu, Tongyu
He, Wanyuan
author_facet Yang, Cheng
Wu, Shengdi
Yang, Ping
Shang, Guoguo
Qi, Ruochen
Xu, Ming
Rong, Ruiming
Zhu, Tongyu
He, Wanyuan
author_sort Yang, Cheng
collection PubMed
description 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 = 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.
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spelling pubmed-67674982019-10-03 Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography Yang, Cheng Wu, Shengdi Yang, Ping Shang, Guoguo Qi, Ruochen Xu, Ming Rong, Ruiming Zhu, Tongyu He, Wanyuan Microcirculation Original Articles 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 = 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. John Wiley and Sons Inc. 2019-04-14 2019-08 /pmc/articles/PMC6767498/ /pubmed/30887637 http://dx.doi.org/10.1111/micc.12544 Text en © 2019 The Authors. Microcirculation Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Yang, Cheng
Wu, Shengdi
Yang, Ping
Shang, Guoguo
Qi, Ruochen
Xu, Ming
Rong, Ruiming
Zhu, Tongyu
He, Wanyuan
Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography
title Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography
title_full Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography
title_fullStr Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography
title_full_unstemmed Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography
title_short Prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography
title_sort prediction of renal allograft chronic rejection using a model based on contrast‐enhanced ultrasonography
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767498/
https://www.ncbi.nlm.nih.gov/pubmed/30887637
http://dx.doi.org/10.1111/micc.12544
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