Predictive Value of Intraoperative Doppler Flowmetry for Delayed Graft Function in Kidney Transplantation: A Pilot Study.


Journal

Transplantation proceedings
ISSN: 1873-2623
Titre abrégé: Transplant Proc
Pays: United States
ID NLM: 0243532

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 15 01 2020
accepted: 05 02 2020
pubmed: 2 4 2020
medline: 13 11 2020
entrez: 2 4 2020
Statut: ppublish

Résumé

The delayed graft function (DGF) in kidney transplantation (KT) is a risk factor for long-term poor graft survival. The pathogenesis is multifactorial but mainly related to an ischemia-reperfusion injury. However, the graft hemodynamics have been recently identified as a key aspect for early DGF risk assessment and potential therapeutic intervention. A pilot study on 20 single kidney grafts from donor after brain death with intraoperative measurement of graft arterial flowmetry, 30 minutes after reperfusion. Exclusion criteria were grafts with multiple arteries or severe atherosclerosis of the recipient's external iliac artery. KT recipients with DGF (n = 4, 20%) were homogenous with controls (n = 16) in terms of cold ischemia time, donor age, recipients' hemodynamic parameters, renal artery, and recipients' external iliac artery diameters. Nonetheless, at transplant, the kidney grafts that developed DGF were characterized by a significantly higher renal artery resistive index (DGF vs no-DGF 0.96 ± 0.04 vs 0.77 ± 0.13, P = .02), as well as lower flow extraction rate (24.8% ± 11.8 vs 59.2% ± 21.1, P < .01). Intraoperative arterial graft flowmetry seems to be an effective tool to identify grafts at high risk of DGF.

Sections du résumé

BACKGROUND BACKGROUND
The delayed graft function (DGF) in kidney transplantation (KT) is a risk factor for long-term poor graft survival. The pathogenesis is multifactorial but mainly related to an ischemia-reperfusion injury. However, the graft hemodynamics have been recently identified as a key aspect for early DGF risk assessment and potential therapeutic intervention.
METHODS METHODS
A pilot study on 20 single kidney grafts from donor after brain death with intraoperative measurement of graft arterial flowmetry, 30 minutes after reperfusion. Exclusion criteria were grafts with multiple arteries or severe atherosclerosis of the recipient's external iliac artery.
RESULTS RESULTS
KT recipients with DGF (n = 4, 20%) were homogenous with controls (n = 16) in terms of cold ischemia time, donor age, recipients' hemodynamic parameters, renal artery, and recipients' external iliac artery diameters. Nonetheless, at transplant, the kidney grafts that developed DGF were characterized by a significantly higher renal artery resistive index (DGF vs no-DGF 0.96 ± 0.04 vs 0.77 ± 0.13, P = .02), as well as lower flow extraction rate (24.8% ± 11.8 vs 59.2% ± 21.1, P < .01).
CONCLUSIONS CONCLUSIONS
Intraoperative arterial graft flowmetry seems to be an effective tool to identify grafts at high risk of DGF.

Identifiants

pubmed: 32229046
pii: S0041-1345(20)30127-5
doi: 10.1016/j.transproceed.2020.02.049
pii:
doi:

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1556-1558

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Riccardo Pravisani (R)

Liver-Kidney Transplant Unit - Department of Medicine, University of Udine, Udine, Italy.

Umberto Baccarani (U)

Liver-Kidney Transplant Unit - Department of Medicine, University of Udine, Udine, Italy.

Nicola Langiano (N)

Anesthesiology and Intensive Care Medicine - Department of Medicine, University of Udine, Udine, Italy.

Francesco Meroi (F)

Anesthesiology and Intensive Care Medicine - Department of Medicine, University of Udine, Udine, Italy.

Itzhak Avital (I)

Department of Surgery A, Soroka University Medical Center, Beer Sheva, Israel.

Tiziana Bove (T)

Anesthesiology and Intensive Care Medicine - Department of Medicine, University of Udine, Udine, Italy.

Gian Luigi Adani (GL)

Liver-Kidney Transplant Unit - Department of Medicine, University of Udine, Udine, Italy. Electronic address: adanigl@hotmail.com.

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Classifications MeSH