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Transplanted Functional Islet Mass: Donor, Islet Preparation, and Recipient Factors Influence Early Graft Function in Islet-After-Kidney Patients

Friberg, Andrew S.; Lundgren, Torbjorn; Malm, Helene LU ; Felldin, Marie; Nilsson, Bo; Jenssen, Trond; Kyllonen, Lauri; Tufveson, Gunnar; Tibell, Annika and Korsgren, Olle (2012) In Transplantation 93(6). p.632-638
Abstract
Background. The ability to predict clinical function of a specific islet batch released for clinical transplantation using standardized variables remains an elusive goal. Methods. Analysis of 10 donor, 7 islet isolation, 3 quality control, and 6 recipient variables was undertaken in 110 islet-after-kidney transplants and correlated to the pre- to 28-day posttransplant change in C-peptide to glucose and creatinine ratio (Delta CP/GCr). Results. Univariate analysis yielded islet volume transplanted (Spearman r = 0.360, P < 0.001) and increment of insulin secretion (r = 0.377, P < 0.001) as variables positively associated to Delta CP/GCr. A negative association to Delta CP/GCr was cold ischemia time (r = -0.330, P < 0.001). A linear,... (More)
Background. The ability to predict clinical function of a specific islet batch released for clinical transplantation using standardized variables remains an elusive goal. Methods. Analysis of 10 donor, 7 islet isolation, 3 quality control, and 6 recipient variables was undertaken in 110 islet-after-kidney transplants and correlated to the pre- to 28-day posttransplant change in C-peptide to glucose and creatinine ratio (Delta CP/GCr). Results. Univariate analysis yielded islet volume transplanted (Spearman r = 0.360, P < 0.001) and increment of insulin secretion (r = 0.377, P < 0.001) as variables positively associated to Delta CP/GCr. A negative association to Delta CP/GCr was cold ischemia time (r = -0.330, P < 0.001). A linear, backward-selection multiple regression was used to obtain a model for the transplanted functional islet mass (TFIM). The TFIM model, composed of islet volume transplanted, increment of insulin secretion, cold ischemia time, and exocrine tissue volume transplanted, accounted for 43% of the variance of the clinical outcome in the islet-after-kidney data set. Conclusion. The TFIM provides a straightforward and potent tool to guide the decision to use a specific islet preparation for clinical transplantation. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Prediction, Islet-After-Kidney, Transplant outcome, Islet transplantation, Pretransplant evaluation
in
Transplantation
volume
93
issue
6
pages
632 - 638
publisher
Lippincott Williams & Wilkins
external identifiers
  • wos:000301350100014
  • pmid:22258287
  • scopus:84858699016
ISSN
1534-6080
DOI
10.1097/TP.0b013e3182455912
language
English
LU publication?
yes
id
46677a17-65ca-4a08-8c37-921a20bf89b6 (old id 2515430)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/22258287?dopt=Abstract
date added to LUP
2012-05-07 13:28:11
date last changed
2017-08-20 03:54:47
@article{46677a17-65ca-4a08-8c37-921a20bf89b6,
  abstract     = {Background. The ability to predict clinical function of a specific islet batch released for clinical transplantation using standardized variables remains an elusive goal. Methods. Analysis of 10 donor, 7 islet isolation, 3 quality control, and 6 recipient variables was undertaken in 110 islet-after-kidney transplants and correlated to the pre- to 28-day posttransplant change in C-peptide to glucose and creatinine ratio (Delta CP/GCr). Results. Univariate analysis yielded islet volume transplanted (Spearman r = 0.360, P &lt; 0.001) and increment of insulin secretion (r = 0.377, P &lt; 0.001) as variables positively associated to Delta CP/GCr. A negative association to Delta CP/GCr was cold ischemia time (r = -0.330, P &lt; 0.001). A linear, backward-selection multiple regression was used to obtain a model for the transplanted functional islet mass (TFIM). The TFIM model, composed of islet volume transplanted, increment of insulin secretion, cold ischemia time, and exocrine tissue volume transplanted, accounted for 43% of the variance of the clinical outcome in the islet-after-kidney data set. Conclusion. The TFIM provides a straightforward and potent tool to guide the decision to use a specific islet preparation for clinical transplantation.},
  author       = {Friberg, Andrew S. and Lundgren, Torbjorn and Malm, Helene and Felldin, Marie and Nilsson, Bo and Jenssen, Trond and Kyllonen, Lauri and Tufveson, Gunnar and Tibell, Annika and Korsgren, Olle},
  issn         = {1534-6080},
  keyword      = {Prediction,Islet-After-Kidney,Transplant outcome,Islet transplantation,Pretransplant evaluation},
  language     = {eng},
  number       = {6},
  pages        = {632--638},
  publisher    = {Lippincott Williams & Wilkins},
  series       = {Transplantation},
  title        = {Transplanted Functional Islet Mass: Donor, Islet Preparation, and Recipient Factors Influence Early Graft Function in Islet-After-Kidney Patients},
  url          = {http://dx.doi.org/10.1097/TP.0b013e3182455912},
  volume       = {93},
  year         = {2012},
}