Literature DB >> 29893433

The 1-year Renal Biopsy Index: a scoring system to drive biopsy indication at 1-year post-kidney transplantation.

Magali Giral1,2, Karine Renaudin3, Maarten Naesens4,5, Redmer Luning4,5, Dany Anglicheau6, Emmanuel Morelon7, Alexandre Huneau8, Chloé Paul1,2, Sophie Brouard1,2, Grégoire Couvrat-Desvergnes1,9, Yohann Foucher8,10, Etienne Dantan8.   

Abstract

Surveillance biopsies after renal transplantation remain debatable. To drive the decision of such intervention, we propose a predictive score of abnormal histology at 1-year post-transplantation, named 1-year Renal Biopsy Index (1-RBI). We studied 466 kidney recipients from the DIVAT cohort alive with a functioning graft and a surveillance biopsy at 1-year post-transplantation. Patients displaying abnormal histology (49%) (borderline, acute rejection, interstitial fibrosis and tubular atrophy [IFTA] grade 2 or 3, glomerulonephritis) were compared to the normal or subnormal (IFTA grade 1) histology group. Obtained from a lasso penalized logistic regression, the 1-RBI was composed of recipient gender, serum creatinine at 3, 6, and 12 month post-transplantation and anticlass II immunization at transplantation (internal validation: AUC = 0.71, 95% CI [0.53-0.83]; external validation: AUC = 0.62, 95% CI [0.58-0.66]). While we could not determinate a threshold able to identify patients at high chance of normal or subnormal histology, we estimated and validated a discriminating threshold capable of identifying a subgroup of 15% of the patients with a risk of abnormal histology higher than 80%. The 1-RBI is computable online at www.divat.fr. The 1-RBI could be a useful tool to standardize 1-year biopsy proposal and may for instance help to indicate one in case of high risk of abnormal histology.
© 2018 Steunstichting ESOT.

Entities:  

Keywords:  histological diagnostic; kidney transplantation; predictive score; surveillance biopsy

Year:  2018        PMID: 29893433     DOI: 10.1111/tri.13290

Source DB:  PubMed          Journal:  Transpl Int        ISSN: 0934-0874            Impact factor:   3.782


  2 in total

1.  Assessment of chronic allograft injury in renal transplantation using diffusional kurtosis imaging.

Authors:  Xin Zheng; Min Li; Pan Wang; Xiangnan Li; Qiang Zhang; Song Zeng; Tao Jiang; Xiaopeng Hu
Journal:  BMC Med Imaging       Date:  2021-04-07       Impact factor: 1.930

2.  Development and validation of a nomogram to predict the 30-day mortality risk of patients with intracerebral hemorrhage.

Authors:  Jianyu Zou; Huihuang Chen; Cuiqing Liu; Zhenbin Cai; Jie Yang; Yunlong Zhang; Shaojin Li; Hongsheng Lin; Minghui Tan
Journal:  Front Neurosci       Date:  2022-08-10       Impact factor: 5.152

  2 in total

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