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

Clinical Prediction Tool to Guide Referral of Elderly Dialysis Patients for Kidney Transplant Evaluation.

L.-X. Chen,1 M. Josephson,1 N. Stankus,1 K. Campbell,1 D. Hedeker,2 M. Saunders.1

1Department of Medicine, University of Chicago, Chicago, IL
2Department of Public Health Sciences, University of Chicago, Chicago, IL.

Meeting: 2016 American Transplant Congress

Abstract number: 175

Keywords: Age factors, Elderly patients, Mortality, Screening

Session Information

Date: Monday, June 13, 2016

Session Name: Concurrent Session: Novel Predictors of Outcome, Big Data and Technology

Session Time: 2:30pm-4:00pm

 Presentation Time: 3:18pm-3:30pm

Location: Room 302

Related Abstracts
  • Dialysis Facility Kidney Transplant Referral in Georgia: 2005-2012
  • External Validation of Clinical Prediction Models of Patient and Graft Survival in a Canadian Cohort of Kidney Transplant Recipients

Background: Adults over 70 years old are the fastest growing segment of the end stage renal disease (ESRD) population. Due to substantial variation in co-morbidities and life expectancy in this group, we sought to develop a clinical prediction tool to identify incident elderly dialysis patients (age≥70) with a 5-year prognosis appropriate for kidney transplantation.

Methods: We used data from the United States Renal Data System. All incident dialysis patients in 2006-2009 aged ≥70 at the time of dialysis initiation were included. Patients who were transplanted, missing dialysis start date or recovered renal function were excluded. Included patients were randomly divided into derivation and validation cohorts. Using the derivation cohort, candidate variables with significant crude association with 5-year all-cause mortality were included in a multivariate model which was used to generate a scoring system based on the beta coefficients. The scoring system was then applied to the validation cohort for performance testing.

Results: The relevant variables and score assignments, derived from the derivation cohort (n=78,595), are shown below. In the validation cohort (n=78,596), the probability of mortality within 5 years of dialysis initiation was 52.6% for the lowest risk score quintile (<1pt) representing 3.4% of the validation cohort.

Conclusions: Our clinical prediction tool could be useful for physicians to identify potentially suitable candidates for kidney transplantation among elderly dialysis patients in the US.

Variable   Score
Sex Male +1
Age Group 70-74 0
  75-79 +2
  80-84 +6
  >=85 +11
Race/Ethnicity Nonhispanic Black -5
  Hispanic +6
  Asian -7
Primary ESRD Cause Diabetes or HTN 0
  GN/Cystic/Urologic -3
  Other/Unknown -1
BMI >=25 and <35 0
  <18 +7
   >=18 and <25 +3
   >=35 -1
Employment Status Before Dialysis Employed -2
  Retired due to disability or medical leave +2
Renal Care No previous nephrologist +1
Access Type AVF 0
  AVG +2
  Catheter +4
  Other/Missing +5
Comorbidities CHF +5
  Cardiac disease +2
  CVA/TIA +2
  PVD +2
  HTN -3
  IDDM +2
  COPD +4
  Tobacco +2
  Cancer +3
  Immobility +4
  Needs assistance with ADLs +2
  Institutionalized +4

CITATION INFORMATION: Chen L.-X, Josephson M, Stankus N, Campbell K, Hedeker D, Saunders M. Clinical Prediction Tool to Guide Referral of Elderly Dialysis Patients for Kidney Transplant Evaluation. Am J Transplant. 2016;16 (suppl 3).

  • Tweet
  • Email
  • Print

To cite this abstract in AMA style:

Chen L-X, Josephson M, Stankus N, Campbell K, Hedeker D, Saunders M. Clinical Prediction Tool to Guide Referral of Elderly Dialysis Patients for Kidney Transplant Evaluation. [abstract]. Am J Transplant. 2016; 16 (suppl 3). https://atcmeetingabstracts.com/abstract/clinical-prediction-tool-to-guide-referral-of-elderly-dialysis-patients-for-kidney-transplant-evaluation/. Accessed February 25, 2021.

« Back to 2016 American Transplant Congress

Most Viewed Abstracts

  • This Week
  • This Month
  • All Time
  • A Decade of Donor-Derived Disease: A Report of the OPTN Ad Hoc Disease Transmission Advisory Committee (DTAC).
  • Low GFR after Kidney Donation Is Not Chronic Kidney Disease
  • Subtherapeutic Low Tacrolimus Trough Levels (≤3.5 Ng /ml) Are A Risk Factor For Acute Rejection And Creatinine Doubling.
  • Is There a Difference Between DCD and DBD Kidney Transplantation with Similar KDPI?
  • Kidney Dialysis after Heart Transplantation: The Short and Long Term Outcomes
  • Low GFR after Kidney Donation Is Not Chronic Kidney Disease
  • 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.
  • A Decade of Donor-Derived Disease: A Report of the OPTN Ad Hoc Disease Transmission Advisory Committee (DTAC).
  • Is There a Difference Between DCD and DBD Kidney Transplantation with Similar KDPI?
  • Low GFR after Kidney Donation Is Not Chronic Kidney Disease
  • Left-Sided Donor Nephrectomy Predisposes Living Kidney Donors to Latent Adrenal Insufficiency with Symptoms of Fatigue and Inferior Quality of Life.
  • Live Related Kidney Transplant Experience in Abuja, Nigeria – First Eight Cases Ever.

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.