Quantitative Assessment of Intraoperative Laser Fluorescence Angiography With Indocyanine Green Predicts Early Graft Function After Kidney Transplantation.


Journal

Annals of surgery
ISSN: 1528-1140
Titre abrégé: Ann Surg
Pays: United States
ID NLM: 0372354

Informations de publication

Date de publication:
01 08 2022
Historique:
pubmed: 5 1 2021
medline: 1 9 2022
entrez: 4 1 2021
Statut: ppublish

Résumé

This study was designed to demonstrate the predictive ability of quantitative indocyanine green (ICG) fluorescence angiography for the short-term postoperative outcome, the occurrence of delayed graft function (DGF), and long-term graft survival. DGF is a relevant problem after kidney transplantation; sufficient microperfusion of the allograft is crucial for postoperative organ function. Fluorescence angiography with ICG can serve as an intraoperative quality control of microperfusion. This prospective diagnostic study, conducted in 2 German transplantation centers from November 2015 to October 2018, included 128 consecutive kidney transplantations. Intraoperative assessment of the allograft microperfusion was performed by near-infrared fluorescence angiography with ICG; a software was used for quantitative analysis. The associations between perfusion parameters (eg, ICG Ingress) and donor, recipient, peri-procedural, and postoperative characteristics were evaluated. DGF occurred in 23 (24%) kidney recipients from deceased donors. ICG Ingress ( P = 0.0027), donor age ( P = 0.0452), recipient age ( P = 0.0139), and recipient body mass index ( P = 0.0017) were associated with DGF. ICG Ingress correlated significantly with recipient age (r = -0.27662, P = 0.0016), cold and warm ischemia time (r = -0.25204, P = 0.0082; r = -0.19778, P = 0.0283), operating time (r = -0.32208, P = 0.0002), eGFR on postoperative days 1 (r =+0.22674, P = 0.0104) and 7 (r = +0.33189, P = 0.0001). The cutoff value for ICG Ingress was 106.23 AU with sensitivity of 78.3% and specificity of 80.8% ( P < 0.0001) for the prediction of DGF. Fluorescence angiography with ICG allows intraoperative quantitative assessment of microperfusion during kidney transplantation. The parameter ICG Ingress reflects recipient and procedure characteristics and is able to predict the incidence of DGF. Clinicaltrials.gov: NCT-02775838.

Sections du résumé

OBJECTIVE
This study was designed to demonstrate the predictive ability of quantitative indocyanine green (ICG) fluorescence angiography for the short-term postoperative outcome, the occurrence of delayed graft function (DGF), and long-term graft survival.
SUMMARY BACKGROUND DATA
DGF is a relevant problem after kidney transplantation; sufficient microperfusion of the allograft is crucial for postoperative organ function. Fluorescence angiography with ICG can serve as an intraoperative quality control of microperfusion.
METHODS
This prospective diagnostic study, conducted in 2 German transplantation centers from November 2015 to October 2018, included 128 consecutive kidney transplantations. Intraoperative assessment of the allograft microperfusion was performed by near-infrared fluorescence angiography with ICG; a software was used for quantitative analysis. The associations between perfusion parameters (eg, ICG Ingress) and donor, recipient, peri-procedural, and postoperative characteristics were evaluated.
RESULTS
DGF occurred in 23 (24%) kidney recipients from deceased donors. ICG Ingress ( P = 0.0027), donor age ( P = 0.0452), recipient age ( P = 0.0139), and recipient body mass index ( P = 0.0017) were associated with DGF. ICG Ingress correlated significantly with recipient age (r = -0.27662, P = 0.0016), cold and warm ischemia time (r = -0.25204, P = 0.0082; r = -0.19778, P = 0.0283), operating time (r = -0.32208, P = 0.0002), eGFR on postoperative days 1 (r =+0.22674, P = 0.0104) and 7 (r = +0.33189, P = 0.0001). The cutoff value for ICG Ingress was 106.23 AU with sensitivity of 78.3% and specificity of 80.8% ( P < 0.0001) for the prediction of DGF.
CONCLUSION
Fluorescence angiography with ICG allows intraoperative quantitative assessment of microperfusion during kidney transplantation. The parameter ICG Ingress reflects recipient and procedure characteristics and is able to predict the incidence of DGF.
TRIAL REGISTRATION
Clinicaltrials.gov: NCT-02775838.

Identifiants

pubmed: 33394595
doi: 10.1097/SLA.0000000000004529
pii: 00000658-900000000-93794
pmc: PMC9259036
doi:

Substances chimiques

Indocyanine Green IX6J1063HV

Banques de données

ClinicalTrials.gov
['NCT02775838']

Types de publication

Clinical Trial Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

391-397

Informations de copyright

Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

The authors report no conflicts of interest. K.N. works as a consultant for Stryker and Novadaq in the field of intraoperative fluorescence imaging, all others declare no conflict of interests.

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Auteurs

Andreas L H Gerken (ALH)

Department of Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Kai Nowak (K)

Department of Surgery, RoMed Hospital Rosenheim, Rosenheim, Germany.

Alexander Meyer (A)

Department of Vascular Surgery, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.

Christel Weiss (C)

Department of Biometry and Statistics, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Bernd Krüger (B)

Department of Medicine V, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Nina Nawroth (N)

Department of Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Ioannis Karampinis (I)

Department of Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Katharina Heller (K)

Department of Nephrology, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.

Hendrik Apel (H)

Department of Urology and Pediatric Urology, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.

Christoph Reissfelder (C)

Department of Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Kay Schwenke (K)

Department of Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Michael Keese (M)

Department of Surgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.

Werner Lang (W)

Department of Vascular Surgery, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.

Ulrich Rother (U)

Department of Vascular Surgery, Friedrich Alexander University Erlangen-Nuremberg, Erlangen, Germany.

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Classifications MeSH