Literature DB >> 24931144

Validation of the Maryland Aggregate Pathology Index (MAPI), a pre-implantation scoring system that predicts graft outcome.

Benjamin Philosophe1, Gregory E Malat, Sunganthi Soundararajan, Rolf N Barth, Wana Manitpisikul, Nikita S Wilson, Karthik Ranganna, Cinthia B Drachenberg, John C Papadimitriou, Brian P Neuman, Raghava B Munivenkatappa.   

Abstract

Predicting graft outcome after renal transplantation based on donor histological features has remained elusive and is subject to institutional variability. We have shown in a retrospective study that the Maryland Aggregate Pathology Index score reliably predicts graft outcome. We sought to validate the scoring system in our center and a second transplant center. We analyzed 140 deceased donor kidneys pre-implantation biopsies from center 1 and 65 from center 2. The patients had a mean follow-up of 695 ± 424 and 656 ± 305 d respectively. Although MAPI scores were similar, there were significant differences in donor and recipient parameters between both centers. Despite this, MAPI was predictive of graft outcome for both centers by Cox univariate, multivariate and time dependent ROC analysis. For center 1 and 2, three yr graft survival within each MAPI group was statistically equivalent. The three-yr graft survival at center 1 for low, intermediate, and high MAPI groups were 84.3%, 56.5%, and 50.0%, respectively, p ≤ 0.0001, and at center 2 were 83.3%, 33.3%, and 33.3%, p = 0.006. MAPI, which is based on a pre-implantation biopsy, demonstrated similar predictive and outcome results from both centers. As expanded criteria donors (ECD) criteria have redefined marginal kidneys, MAPI has the potential to further define ECD kidneys, increase utilization, and ultimately improve outcomes.
© 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  deceased donor kidneys; kidney scoring; marginal donors; suboptimal organs

Mesh:

Year:  2014        PMID: 24931144     DOI: 10.1111/ctr.12400

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  9 in total

Review 1.  Strategies for an Expanded Use of Kidneys From Elderly Donors.

Authors:  María José Pérez-Sáez; Núria Montero; Dolores Redondo-Pachón; Marta Crespo; Julio Pascual
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

2.  Deceased Donor Procurement Biopsy Practices, Interpretation, and Histology-Based Decision-Making: A Survey of US Kidney Transplant Centers.

Authors:  Krista L Lentine; Vidya A Fleetwood; Yasar Caliskan; Henry Randall; Jason R Wellen; Melissa Lichtenberger; Craig Dedert; Richard Rothweiler; Gary Marklin; Diane Brockmeier; Mark A Schnitzler; Syed A Husain; Sumit Mohan; Bertram L Kasiske; Matthew Cooper; Roslyn B Mannon; David A Axelrod
Journal:  Kidney Int Rep       Date:  2022-03-28

3.  Sex-Differences and Associations Between Complement Activation and Synovial Vascularization in Patients with Late-Stage Knee Osteoarthritis.

Authors:  Emily U Sodhi; Holly T Philpott; McKenzie M Carter; Trevor B Birmingham; C Thomas Appleton
Journal:  Front Immunol       Date:  2022-05-24       Impact factor: 8.786

Review 4.  Scoring systems of kidney donation from deceased donors: A systematic review.

Authors:  Fateme Moghbeli; Majid Jangi; Zahra Ebnehoseini
Journal:  J Educ Health Promot       Date:  2021-12-31

Review 5.  Using Information Available at the Time of Donor Offer to Predict Kidney Transplant Survival Outcomes: A Systematic Review of Prediction Models.

Authors:  Stephanie Riley; Qing Zhang; Wai-Yee Tse; Andrew Connor; Yinghui Wei
Journal:  Transpl Int       Date:  2022-06-23       Impact factor: 3.842

6.  Early Graft Loss after Kidney Transplantation: Endothelial Dysfunction of Renal Microvasculature.

Authors:  N Kojc; M Perše; J Pleško; Ž Večerić-Haler
Journal:  Biomed Res Int       Date:  2018-07-25       Impact factor: 3.411

7.  Procurement Biopsy Findings Versus Kidney Donor Risk Index for Predicting Renal Allograft Survival.

Authors:  Isaac E Hall; Chirag R Parikh; Bernd Schröppel; Francis L Weng; Yaqi Jia; Heather Thiessen-Philbrook; Peter P Reese; Mona D Doshi
Journal:  Transplant Direct       Date:  2018-07-16

8.  A Retrospective Cohort Study on Rehospitalization following Expanded Criteria Donor Kidney Transplantation.

Authors:  Colin Dunn; Emmanuel U Emeasoba; Michael Hung; Ari Holtzman; Eran Bellin; Stuart Greenstein
Journal:  Surg Res Pract       Date:  2018-12-25

9.  Polymorphisms in vasoactive eicosanoid genes of kidney donors affect biopsy scores and clinical outcomes in renal transplantation.

Authors:  Sonia Mota-Zamorano; Luz M González; Enrique Luna; José J Fernández; Áurea Gómez; Alberto Nieto-Fernández; Nicolás R Robles; Guillermo Gervasini
Journal:  PLoS One       Date:  2019-10-17       Impact factor: 3.240

  9 in total

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