Literature DB >> 32496358

A Propensity Score-weighted Comparison of Outcomes Between Living and Standard Criteria Deceased Donor Kidney Transplant Recipients.

Seychelle Yohanna1, Kyla L Naylor2, Eric McArthur2, Ngan N Lam3,4, Peter C Austin5,6, Steven Habbous7, Megan K McCallum2, Michael Ordon8, Greg A Knoll9, Joseph S Kim5, Amit X Garg2,7,10.   

Abstract

BACKGROUND: Consider a theoretical situation in which 2 patients with similar baseline characteristics receive a kidney transplant on the same day: 1 from a standard criteria deceased donor, the other from a living donor. Which kidney transplant will last longer?
METHODS: We conducted a population-based cohort study using linked administrative healthcare databases from Ontario, Canada, from January 1, 2005, to March 31, 2014, to evaluate several posttransplant outcomes in individuals who received a kidney transplant from a standard criteria deceased donor (n = 1523) or from a living donor (n = 1373). We used PS weighting using overlap weights, a novel weighting method that emphasizes the population of recipients with the most overlap in baseline characteristics.
RESULTS: Compared with recipients of a living donor, the rate of all-cause graft failure was not statistically higher for recipients of a standard criteria deceased donor (hazard ratio, 1.1; 95% confidence interval [CI], 0.8-1.6). Recipients of a standard criteria deceased donor, compared with recipients of a living donor had a higher rate of delayed graft function (23.6% versus 18.7%; odds ratio, 1.3; 95% CI, 1.0-1.6) and a longer length of stay for the kidney transplant surgery (mean difference, 1.7 d; 95% CI, 0.5-3.0).
CONCLUSIONS: After accounting for many important donor and recipient factors, we failed to observe a large difference in the risk of all-cause graft failure for recipients of a standard criteria deceased versus living donor. Some estimates were imprecise, which meant we could not rule out the presence of smaller clinically important effects.

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Year:  2020        PMID: 32496358     DOI: 10.1097/TP.0000000000003337

Source DB:  PubMed          Journal:  Transplantation        ISSN: 0041-1337            Impact factor:   4.939


  3 in total

1.  Propensity Score and Instrumental Variable Techniques in Observational Transplantation Studies: An Overview and Worked Example Relating to Pre-Transplant Cardiac Screening.

Authors:  Ailish Nimmo; Nicholas Latimer; Gabriel C Oniscu; Rommel Ravanan; Dominic M Taylor; James Fotheringham
Journal:  Transpl Int       Date:  2022-06-27       Impact factor: 3.842

2.  Post-transplant outcomes in recipients of living donor kidneys and intended recipients of living donor kidneys.

Authors:  Atit A Dharia; Michael Huang; Michelle M Nash; Niki Dacouris; Jeffrey S Zaltzman; G V Ramesh Prasad
Journal:  BMC Nephrol       Date:  2022-03-05       Impact factor: 2.388

3.  The Mayo Adhesive Probability score can help predict intra- and postoperative complications in patients undergoing laparoscopic donor nephrectomy.

Authors:  Quentin Franquet; Xavier Matillon; Nicolas Terrier; Jean-Jacques Rambeaud; Sebastien Crouzet; Jean-Alexandre Long; Hakim Fassi-Fehri; Ricardo Codas-Duarte; Delphine Poncet; Thomas Jouve; Johan Noble; Paolo Malvezzi; Lionel Rostaing; Jean-Luc Descotes; Lionel Badet; Gaelle Fiard
Journal:  World J Urol       Date:  2020-11-11       Impact factor: 4.226

  3 in total

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