ATC Abstracts

American Transplant Congress abstracts

  • Home
  • Meetings Archive
    • 2020 American Transplant Congress
    • 2019 American Transplant Congress
    • 2018 American Transplant Congress
    • 2017 American Transplant Congress
    • 2016 American Transplant Congress
    • 2015 American Transplant Congress
    • 2013 American Transplant Congress
  • Keyword Index
  • Resources
    • 2016 Resources
      • 2016 Welcome Letter
      • ATC 2016 Program Planning Committees
      • ASTS Council 2015-2016
      • AST Board of Directors 2015-2016
    • 2015 Resources
      • 2015 Welcome Letter
      • ATC 2015 Program Planning Committees
      • ASTS Council 2014-2015
      • AST Board of Directors 2014-2015
      • 2015 Conference Schedule
  • Advanced Search

Predicting Post-Transplant Graft Function in Deceased Donor Kidney Transplant Recipients

K. Archer1, Y. Zhang1, V. Bontha2, J. Eason3, L. Gallon4, E. Akalin5, D. Maluf2, V. Mas2

1OSU, Columbus, OH, 2UTHSC, Memphis, TN, 3UTHSC Director of Transplant Institute, Memphis, TN, 4NWU, Chicago, IL, 5Albert Einstein College of Medicine, NYC, NY

Meeting: 2019 American Transplant Congress

Abstract number: A138

Keywords: Genomic markers, Kidney

Session Information

Date: Saturday, June 1, 2019

Session Name: Poster Session A: Biomarkers, Immune Monitoring and Outcomes

Session Time: 5:30pm-7:30pm

 Presentation Time: 5:30pm-7:30pm

Location: Hall C & D

Related Abstracts
  • Short-Term Outcome Prediction Model in Deceased Donor Kidney Transplant Recipients
  • Donor/Recipient Matching Using the Creatinine Clearance Match Ratio (CCMR) Is Superior to the Kidney Donor Profile Index (KDPI) Predicting Early but Not Late Outcomes for Deceased Donor Kidney Transplantation.

*Purpose: Discarding donor organs lengthens time patients spend on the kidney transplant (KT) wait list. To identify characteristics associated with short-term outcome in deceased donor (DD) KT recipients, we compared predictive models that included KDPI/recipient/peri-operative variables, molecular markers, and the combination of KDPI/recipient/peri-operative and molecular markers. Such a strategy may prove useful when evaluating composite scoring systems that are desperately needed.

*Methods: Affymetrix gene expression data from pre-implant (PI) biopsies and GFR one month post-transplant were available for 191 KT subjects. Short-term outcome was classified according to patients’ GFR at 1 month, as GFR<=40 (low) versus GFR>40 (high). To identify a model predicting GFR high versus low, we included KDPI and all recipient and peri-operative variables having a univariable p-value <0.10 in a logistic regression model and applied a backward elimination procedure. Thereafter we fit a model to predict high vs low GFR using the gene expression data and another model that included KDPI/recipient/peri-operative variables along with gene expression data. For each model, we estimated the area under the receiver operating characteristic curve (AUC) the net reclassification improvement for comparing these three models.

*Results: Among 191 deceased donor kidney transplant recipients, there were 55 (28.8%) with low GFR and 136 (71.2%) with high GFR. Donor type (P=0.002), donor age (P=0.001), recipient height (P=0.022), recipient body weight (P=0.001), KDPI (P <0.001) and KDRI (P=0.002) were significantly different between the two groups. Therefore, these variables were included in a multivariable logistic regression model predicting one month GFR. After performing backward elimination, only KDPI (P=0.0007) and recipient body weight (BW) (P=0.0022) remained. There were 16 probe sets differentially expressed when comparing the high vs low GFR groups using a Benjamini and Hochberg FDR<0.15. There were 15 probe sets in the gene only model and 15 probe sets in the KDPI+BW+gene model, with 11 in common. The areas under the ROC curves for the three fitted models were KDPI+BW (AUC=0.713, 95% CI: 0.633, 0.794), gene only (AUC=0.828, 95% CI: 0.76, 0.896), and KDPI+BW+gene (AUC=0.833, 95% CI: 0.761, 0.905). There was a significant difference between the KDPI+BW only model and the gene only model (P=0.0334) as well as the KDPI+BW+gene model (P=0.0302). However, there was not a significant difference between the gene only and KDPI+BW+gene models when comparing the AUCs (P=0.806).

*Conclusions: A panel of PI molecular markers may predict short-term outcomes more accurately than scoring systems currently in place.

  • Tweet
  • Email
  • Print

To cite this abstract in AMA style:

Archer K, Zhang Y, Bontha V, Eason J, Gallon L, Akalin E, Maluf D, Mas V. Predicting Post-Transplant Graft Function in Deceased Donor Kidney Transplant Recipients [abstract]. Am J Transplant. 2019; 19 (suppl 3). https://atcmeetingabstracts.com/abstract/predicting-post-transplant-graft-function-in-deceased-donor-kidney-transplant-recipients/. Accessed January 16, 2021.

« Back to 2019 American Transplant Congress

Most Viewed Abstracts

  • This Week
  • This Month
  • All Time
  • Subtherapeutic Low Tacrolimus Trough Levels (≤3.5 Ng /ml) Are A Risk Factor For Acute Rejection And Creatinine Doubling.
  • Penis Transplantation: First U.S. Experience.
  • Low GFR after Kidney Donation Is Not Chronic Kidney Disease
  • Is There a Difference Between DCD and DBD Kidney Transplantation with Similar KDPI?
  • Live Related Kidney Transplant Experience in Abuja, Nigeria – First Eight Cases Ever.
  • Subtherapeutic Low Tacrolimus Trough Levels (≤3.5 Ng /ml) Are A Risk Factor For Acute Rejection And Creatinine Doubling.
  • Penis Transplantation: First U.S. Experience.
  • Low GFR after Kidney Donation Is Not Chronic Kidney Disease
  • Is There a Difference Between DCD and DBD Kidney Transplantation with Similar KDPI?
  • Kidney Dialysis after Heart Transplantation: The Short and Long Term Outcomes
  • Penis Transplantation: First U.S. Experience.
  • Is There a Difference Between DCD and DBD Kidney Transplantation with Similar KDPI?
  • Low GFR after Kidney Donation Is Not Chronic Kidney Disease
  • Evidence of a Clinically Significant Drug-Drug Interaction between Cannabidiol and Tacrolimus: A Case Report
  • Kidney Dialysis after Heart Transplantation: The Short and Long Term Outcomes

Visit Our Partner Sites

American Transplant Congress (ATC)

Visit the official site for the American Transplant Congress »

American Journal of Transplantation

The official publication for the American Society of Transplantation (AST) and the American Society of Transplant Surgeons (ASTS) »

American Society of Transplantation (AST)

An organization of more than 3000 professionals dedicated to advancing the field of transplantation. »

American Society of Transplant Surgeons (ASTS)

The society represents approximately 1,800 professionals dedicated to excellence in transplantation surgery. »

Copyright © 2013-2021 by American Society of Transplantation and the American Society of Transplant Surgeons. All rights reserved.

Privacy Policy

loading Cancel
Post was not sent - check your email addresses!
Email check failed, please try again
Sorry, your blog cannot share posts by email.
This site uses cookies: Find out more.