Literature DB >> 20703178

Favorable outcomes with machine perfusion and longer pump times in kidney transplantation: a single-center, observational study.

Gaetano Ciancio1, Jeffrey J Gaynor, Junichiro Sageshima, Linda Chen, David Roth, Warren Kupin, Giselle Guerra, Lissett Tueros, Alberto Zarak, Lois Hanson, Susan Ganz, Phillip Ruiz, William W O'Neill, Alan S Livingstone, George W Burke.   

Abstract

BACKGROUND: Hypothermic machine perfusion (MP) preservation is used for all deceased donor kidney transplants at our center. Kidneys are placed in cold storage at retrieval, then transferred to MP on arrival. Because a lack of consensus regarding optimal use of MP still exists, we evaluated the overall impact of using MP at our center and the prognostic value of MP (Pump) time.
METHODS: We retrospectively analyzed 339 adult, primary deceased donor kidney transplant recipients who were pooled across three prospective, randomized immunosuppression trials (since 2000) at our center. In addition to providing overall results for delayed graft function (DGF) (requirement for dialysis in the first week), slow graft function (SGF), first biopsy-proven acute rejection (BPAR), and graft failure, stepwise logistic and Cox regression analyses were used to determine the prognostic value of pump time, particularly after controlling for other significant prognosticators.
RESULTS: Mean cold storage and pump times were 6.6 and 26.7 hr, consistent across immunosuppression protocols. Overall DGF and SGF rates were 4.4% (15/339) and 12.1% (41/339). DGF was equally low for pump time less than 24 vs. more than or equal to 24 hr, 5.2% (6/116) vs. 4.0% (9/223) (P=0.63), with similar results after adjusting for known DGF predictors. A significantly lower first BPAR rate was observed for longer pump time (as a continuous variable) among more immunologically active recipients (those having more risk factors: DGF, age <50 yr, and non-white) (univariable P=0.005; multivariable P=0.009), with an estimated hazard ratio of 0.43 (P=0.006) favoring pump time more than or equal to 24 hr among those with more than or equal to two risk factors. CONCLUSIONS.: In this single-center, observational study, MP with prolonged pump times was associated with low DGF/SGF and first BPAR rates, supporting continued use of MP.

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Year:  2010        PMID: 20703178     DOI: 10.1097/TP.0b013e3181f2c962

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


  12 in total

1.  Single-centre study of 628 adult, primary kidney transplant recipients showing no unfavourable effect of new-onset diabetes after transplant.

Authors:  Jeffrey J Gaynor; Gaetano Ciancio; Giselle Guerra; Junichiro Sageshima; Lois Hanson; David Roth; Michael J Goldstein; Linda Chen; Warren Kupin; Adela Mattiazzi; Lissett Tueros; Sandra Flores; Luis J Barba; Adrian Lopez; Jose Rivas; Phillip Ruiz; Rodrigo Vianna; George W Burke
Journal:  Diabetologia       Date:  2014-11-01       Impact factor: 10.122

2.  Pretransplant transcriptome profiles identify among kidneys with delayed graft function those with poorer quality and outcome.

Authors:  Valeria R Mas; Mariano J Scian; Kellie J Archer; Jihee L Suh; Krystle G David; Qing Ren; Todd W B Gehr; Anne L King; Marc P Posner; Thomas F Mueller; Daniel G Maluf
Journal:  Mol Med       Date:  2011-09-06       Impact factor: 6.354

3.  Podocyte foot process effacement in postreperfusion allograft biopsies correlates with early recurrence of proteinuria in focal segmental glomerulosclerosis.

Authors:  Jei-Wen Chang; Victoriano Pardo; Junichiro Sageshima; Linda Chen; Hsin-Lin Tsai; Jochen Reiser; Changli Wei; Gaetano Ciancio; George W Burke; Alessia Fornoni
Journal:  Transplantation       Date:  2012-06-27       Impact factor: 4.939

4.  Optimized outcomes for renal allografts with cold ischemic times of 20 h or greater.

Authors:  Anja Gallinat; Andreas Paul; Thomas Minor; Jürgen W Treckmann; Ernesto P Molmenti; Oliver Witzke; Georgios C Sotiropoulos
Journal:  Int Urol Nephrol       Date:  2012-07-01       Impact factor: 2.370

5.  Advantage of rapamycin over mycophenolate mofetil when used with tacrolimus for simultaneous pancreas kidney transplants: randomized, single-center trial at 10 years.

Authors:  G Ciancio; J Sageshima; L Chen; J J Gaynor; L Hanson; L Tueros; E Montenora-Velarde; C Gomez; W Kupin; G Guerra; A Mattiazzi; A Fornoni; A Pugliese; D Roth; M Wolf; G W Burke
Journal:  Am J Transplant       Date:  2012-09-04       Impact factor: 8.086

Review 6.  Donor considerations in pediatric kidney transplantation.

Authors:  Jayanthi Chandar; Linda Chen; Marissa Defreitas; Gaetano Ciancio; George Burke
Journal:  Pediatr Nephrol       Date:  2020-01-13       Impact factor: 3.714

Review 7.  Maximizing kidneys for transplantation using machine perfusion: from the past to the future: A comprehensive systematic review and meta-analysis.

Authors:  Ahmer M Hameed; Henry C Pleass; Germaine Wong; Wayne J Hawthorne
Journal:  Medicine (Baltimore)       Date:  2016-10       Impact factor: 1.889

8.  Combined Ex Vivo Hypothermic and Normothermic Perfusion for Assessment of High-risk Deceased Donor Human Kidneys for Transplantation.

Authors:  Sandra K Kabagambe; Ivonne P Palma; Yulia Smolin; Tristan Boyer; Ivania Palma; Junichiro Sageshima; Christoph Troppmann; Chandrasekar Santhanakrishnan; John P McVicar; Kuang-Yu Jen; Miriam Nuño; Richard V Perez
Journal:  Transplantation       Date:  2019-02       Impact factor: 4.939

Review 9.  Persufflation (gaseous oxygen perfusion) as a method of heart preservation.

Authors:  Thomas M Suszynski; Michael D Rizzari; William E Scott; Peter M Eckman; James D Fonger; Ranjit John; Nicolas Chronos; Linda A Tempelman; David E R Sutherland; Klearchos K Papas
Journal:  J Cardiothorac Surg       Date:  2013-04-22       Impact factor: 1.637

10.  Personalized prediction of delayed graft function for recipients of deceased donor kidney transplants with machine learning.

Authors:  Satoru Kawakita; Jennifer L Beaumont; Vadim Jucaud; Matthew J Everly
Journal:  Sci Rep       Date:  2020-10-27       Impact factor: 4.379

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