Literature DB >> 17979999

The overlapping risk profile between dialysis patients listed and not listed for renal transplantation.

J D Schold1, T R Srinivas, L K Kayler, H U Meier-Kriesche.   

Abstract

The survival advantage of kidney transplantation extends to many high-risk ESRD patients; however, numerous factors ultimately determine which patients are evaluated and listed for the procedure. Broad goals of patient evaluation comprise identifying patients who will benefit from transplantation and excluding patients who might be placed at risk. There is limited data detailing whether current access limitations and screening strategies have achieved the goal of listing the most appropriate patients. The study estimated the life expectancy of adult patients in the United States prior to transplantation with ESRD onset from 1995 to 2003. Factors associated with transplant listing were examined based on patient prognosis after ESRD. Approximately one-third of patients listed for transplantation within 1 year of ESRD had </=5-year life expectancy on dialysis. In contrast, one-third of patients not listed had >5-year life expectancy. The number of patients not listed with 'good' prognosis was significantly higher than those listed with 'poor' prognosis (134 382 vs. 16 807, respectively). Age, race, gender, insurance coverage and body mass index (BMI) were associated with likelihood for listing with 'poor' prognosis and not listing with 'good' prognosis. Over the past decade, many ESRD patients viable for transplantation have not listed for transplantation while higher-risk patients have listed rapidly.

Entities:  

Mesh:

Year:  2007        PMID: 17979999     DOI: 10.1111/j.1600-6143.2007.02020.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  18 in total

1.  Marked variation of the association of ESRD duration before and after wait listing on kidney transplant outcomes.

Authors:  J D Schold; A R Sehgal; T R Srinivas; E D Poggio; S D Navaneethan; B Kaplan
Journal:  Am J Transplant       Date:  2010-07-20       Impact factor: 8.086

2.  The organ crisis: a disaster of our own making.

Authors:  T Randolph Beard; Rigmar Osterkamp
Journal:  Eur J Health Econ       Date:  2014-01

3.  Building an Ideal Quality Metric for ESRD Health Care Delivery.

Authors:  Jesse D Schold; Laura D Buccini; Michael P Phelan; Colleen L Jay; David A Goldfarb; Emilio D Poggio; John R Sedor
Journal:  Clin J Am Soc Nephrol       Date:  2017-05-17       Impact factor: 8.237

4.  The Terrible Toll of the Kidney Shortage.

Authors:  Frank McCormick; Philip J Held; Glenn M Chertow
Journal:  J Am Soc Nephrol       Date:  2018-11-12       Impact factor: 10.121

5.  Modest rates and wide variation in timely access to repeat kidney transplantation in the United States.

Authors:  Jesse D Schold; Joshua J Augustine; Anne M Huml; John O'Toole; John R Sedor; Emilio D Poggio
Journal:  Am J Transplant       Date:  2019-11-15       Impact factor: 8.086

6.  Access to Kidney Transplantation after a Failed First Kidney Transplant and Associations with Patient and Allograft Survival: An Analysis of National Data to Inform Allocation Policy.

Authors:  Stephanie Clark; Matthew Kadatz; Jagbir Gill; John S Gill
Journal:  Clin J Am Soc Nephrol       Date:  2019-07-23       Impact factor: 8.237

Review 7.  [Kidney transplantation in old age].

Authors:  C Kurschat
Journal:  Z Gerontol Geriatr       Date:  2016-07-27       Impact factor: 1.281

8.  Referral for Kidney Transplantation in Canadian Provinces.

Authors:  S Joseph Kim; John S Gill; Greg Knoll; Patricia Campbell; Marcelo Cantarovich; Edward Cole; Bryce Kiberd
Journal:  J Am Soc Nephrol       Date:  2019-08-06       Impact factor: 10.121

9.  Half of kidney transplant candidates who are older than 60 years now placed on the waiting list will die before receiving a deceased-donor transplant.

Authors:  Jesse Schold; Titte R Srinivas; Ashwini R Sehgal; Herwig-Ulf Meier-Kriesche
Journal:  Clin J Am Soc Nephrol       Date:  2009-06-18       Impact factor: 8.237

10.  An opt-out model for kidney transplant referral: The time has come.

Authors:  Anne M Huml; John R Sedor; Emilio Poggio; Rachel E Patzer; Jesse D Schold
Journal:  Am J Transplant       Date:  2020-07-05       Impact factor: 8.086

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