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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.
Afiliación
  • Yang C; Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Wu S; Shanghai Key Laboratory of Organ Transplantation, Shanghai, China.
  • Yang P; Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Shang G; Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai Institute of Imaging Medicine, Shanghai, China.
  • Qi R; Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Xu M; Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • Rong R; Shanghai Medical College, Fudan University, Shanghai, China.
  • Zhu T; Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China.
  • He W; Shanghai Key Laboratory of Organ Transplantation, Shanghai, China.
Microcirculation ; 26(6): e12544, 2019 08.
Article en En | MEDLINE | ID: mdl-30887637
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trasplante de Riñón / Medios de Contraste / Rechazo de Injerto / Riñón Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Microcirculation Asunto de la revista: ANGIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trasplante de Riñón / Medios de Contraste / Rechazo de Injerto / Riñón Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Microcirculation Asunto de la revista: ANGIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: China