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Published in: Journal of Clinical Monitoring and Computing 5/2013

01-10-2013 | Original Research

Intraoperative ICG plasma disappearance rate helps to predict absence of early postoperative complications after orthotopic liver transplantation

Authors: J. J. Vos, T. W. L. Scheeren, D. J. Lukes, M. T. de Boer, H. G. D. Hendriks, J. K. G. Wietasch

Published in: Journal of Clinical Monitoring and Computing | Issue 5/2013

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Abstract

Early postoperative complications after orthotopic liver transplantation (OLT) are a common problem in intensive care medicine. Adequate assessment of initial graft function remains difficult, however, plasma disaperance rate of indocyanine green (PDRICG) may have an additional diagnostic and prognostic value in this setting. We retrospectively evaluated the ability of intraoperative PDRICG values to predict absence of early postoperative complications in 62 subjects. PDRICG was measured non-invasively by pulse dye densitometry during surgery and was correlated with initial graft function. At the end of surgery, PDRICG was higher in patients without complications: 24.9 % min−1 (n = 40) versus 21.0 % min−1, (n = 22; p = 0.034). An area under the ROC curve (AUROC) for PDRICG was 0.70, while the AUROC for pH, lactate and PT at ICU admission were 0.53, 0.50 and 0.46, respectively. The AUROC of serum bilirubin and PT at postoperative day 5 were 0.68 and 0.49, respectively. The optimal cut-off PDRICG value for predicting absence of development early postoperative complications was determined to be 23.5 % min−1 with 72.4 % sensitivity and 71.0 % specificity. Intraoperative point-of-care PDRICG measurement during OLT already predicts absence of early postoperative complications, better and earlier than clinically used laboratory parameters.
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Metadata
Title
Intraoperative ICG plasma disappearance rate helps to predict absence of early postoperative complications after orthotopic liver transplantation
Authors
J. J. Vos
T. W. L. Scheeren
D. J. Lukes
M. T. de Boer
H. G. D. Hendriks
J. K. G. Wietasch
Publication date
01-10-2013
Publisher
Springer Netherlands
Published in
Journal of Clinical Monitoring and Computing / Issue 5/2013
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-013-9474-1

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