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Analyzing the Impact of CIT on the Largest Reported Cohort of Robotic Kidney Transplantation From the Deceased Donors.

Publication ,  Journal Article
Petrochenkov, E; Bencini, G; Martinino, A; Lian, A; Olazar, J; Akshelyan, S; Yoshikawa, K; Di Cocco, P; Almario-Alvarez, J; Spaggiari, M ...
Published in: Transplantation direct
September 2024

Robotic-assisted kidney transplant (RAKT) has proven to be a successful approach for patients with morbid obesity and more centers are encouraged to apply robotic approach also for deceased donor kidney transplantation. Prolonged cold ischemia time (CIT) is accompanied by delayed graft function (DGF) and early graft loss after traditional open kidney transplant (OKT). This study examines the impact of CIT after robotic kidney transplantation on settings of deceased donation.We present a single-center retrospective analysis of 115 cases of RAKT and 128 cases of OKT from deceased donors performed from deceased donor from 2009 to July 2022. Cohort was divided in 3 groups based on CIT ("high" CIT > 15 h, n = 43; "medium" CIT 11-15 h, n = 38; "low" CIT< 11 h, n = 40). The subgroup analysis of DGF and CIT was performed.The median CIT in the cohort was 13.46 (7) h, and overall rate of DGF was 30.6%. The correlation between CIT and DGF was statistically significant (P = 0.008), and DGF negatively correlated with 1-y graft survival (P = 0.04). The rate of DGF was significantly different between the groups (P = 0.05).Results from our study demonstrate that the effect of CIT on DGF in settings of RAKT follows a similar pattern as in traditional OKT.

Duke Scholars

Published In

Transplantation direct

DOI

EISSN

2373-8731

ISSN

2373-8731

Publication Date

September 2024

Volume

10

Issue

9

Start / End Page

e1671

Related Subject Headings

  • 3204 Immunology
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Petrochenkov, E., Bencini, G., Martinino, A., Lian, A., Olazar, J., Akshelyan, S., … Tzvetanov, I. (2024). Analyzing the Impact of CIT on the Largest Reported Cohort of Robotic Kidney Transplantation From the Deceased Donors. Transplantation Direct, 10(9), e1671. https://doi.org/10.1097/txd.0000000000001671
Petrochenkov, Egor, Giulia Bencini, Alessandro Martinino, Amy Lian, Joanna Olazar, Stepan Akshelyan, Kentaro Yoshikawa, et al. “Analyzing the Impact of CIT on the Largest Reported Cohort of Robotic Kidney Transplantation From the Deceased Donors.Transplantation Direct 10, no. 9 (September 2024): e1671. https://doi.org/10.1097/txd.0000000000001671.
Petrochenkov E, Bencini G, Martinino A, Lian A, Olazar J, Akshelyan S, et al. Analyzing the Impact of CIT on the Largest Reported Cohort of Robotic Kidney Transplantation From the Deceased Donors. Transplantation direct. 2024 Sep;10(9):e1671.
Petrochenkov, Egor, et al. “Analyzing the Impact of CIT on the Largest Reported Cohort of Robotic Kidney Transplantation From the Deceased Donors.Transplantation Direct, vol. 10, no. 9, Sept. 2024, p. e1671. Epmc, doi:10.1097/txd.0000000000001671.
Petrochenkov E, Bencini G, Martinino A, Lian A, Olazar J, Akshelyan S, Yoshikawa K, Di Cocco P, Almario-Alvarez J, Spaggiari M, Benedetti E, Tzvetanov I. Analyzing the Impact of CIT on the Largest Reported Cohort of Robotic Kidney Transplantation From the Deceased Donors. Transplantation direct. 2024 Sep;10(9):e1671.

Published In

Transplantation direct

DOI

EISSN

2373-8731

ISSN

2373-8731

Publication Date

September 2024

Volume

10

Issue

9

Start / End Page

e1671

Related Subject Headings

  • 3204 Immunology
  • 3202 Clinical sciences
  • 3201 Cardiovascular medicine and haematology