Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests

The evaluation of hepatic function and functional capacity of the liver are essential tasks in hepatology as well as in hepatobiliary surgery. Indocyanine green (ICG) is a widely applied test compound that is used in clinical routine to evaluate hepatic function. Important questions for the function...

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Autores principales:	Adrian Köller, Jan Grzegorzewski, Hans-Michael Tautenhahn, Matthias König
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	indocyanine green hepatectomy liver cirrhosis mathematical model computational model pharmacokinetics Physiology QP1-981
Acceso en línea:	https://doaj.org/article/99e58f9672544bdca25df699213c3b28
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spelling	oai:doaj.org-article:99e58f9672544bdca25df699213c3b282021-11-22T07:19:27ZPrediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests1664-042X10.3389/fphys.2021.730418https://doaj.org/article/99e58f9672544bdca25df699213c3b282021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fphys.2021.730418/fullhttps://doaj.org/toc/1664-042XThe evaluation of hepatic function and functional capacity of the liver are essential tasks in hepatology as well as in hepatobiliary surgery. Indocyanine green (ICG) is a widely applied test compound that is used in clinical routine to evaluate hepatic function. Important questions for the functional evaluation with ICG in the context of hepatectomy are how liver disease such as cirrhosis alters ICG elimination, and if postoperative survival can be predicted from preoperative ICG measurements. Within this work a physiologically based pharmacokinetic (PBPK) model of ICG was developed and applied to the prediction of the effects of a liver resection under various degrees of cirrhosis. For the parametrization of the computational model and validation of model predictions a database of ICG pharmacokinetic data was established. The model was applied (i) to study the effect of liver cirrhosis and liver resection on ICG pharmacokinetics; and (ii) to evaluate the model-based prediction of postoperative ICG-R15 (retention ratio 15 min after administration) as a measure for postoperative outcome. Key results are the accurate prediction of changes in ICG pharmacokinetics caused by liver cirrhosis and postoperative changes of ICG-elimination after liver resection, as validated with a wide range of data sets. Based on the PBPK model, individual survival after liver resection could be classified, demonstrating its potential value as a clinical tool.Adrian KöllerJan GrzegorzewskiHans-Michael TautenhahnMatthias KönigFrontiers Media S.A.articleindocyanine greenhepatectomyliver cirrhosismathematical modelcomputational modelpharmacokineticsPhysiologyQP1-981ENFrontiers in Physiology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	indocyanine green hepatectomy liver cirrhosis mathematical model computational model pharmacokinetics Physiology QP1-981
spellingShingle	indocyanine green hepatectomy liver cirrhosis mathematical model computational model pharmacokinetics Physiology QP1-981 Adrian Köller Jan Grzegorzewski Hans-Michael Tautenhahn Matthias König Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests
description	The evaluation of hepatic function and functional capacity of the liver are essential tasks in hepatology as well as in hepatobiliary surgery. Indocyanine green (ICG) is a widely applied test compound that is used in clinical routine to evaluate hepatic function. Important questions for the functional evaluation with ICG in the context of hepatectomy are how liver disease such as cirrhosis alters ICG elimination, and if postoperative survival can be predicted from preoperative ICG measurements. Within this work a physiologically based pharmacokinetic (PBPK) model of ICG was developed and applied to the prediction of the effects of a liver resection under various degrees of cirrhosis. For the parametrization of the computational model and validation of model predictions a database of ICG pharmacokinetic data was established. The model was applied (i) to study the effect of liver cirrhosis and liver resection on ICG pharmacokinetics; and (ii) to evaluate the model-based prediction of postoperative ICG-R15 (retention ratio 15 min after administration) as a measure for postoperative outcome. Key results are the accurate prediction of changes in ICG pharmacokinetics caused by liver cirrhosis and postoperative changes of ICG-elimination after liver resection, as validated with a wide range of data sets. Based on the PBPK model, individual survival after liver resection could be classified, demonstrating its potential value as a clinical tool.
format	article
author	Adrian Köller Jan Grzegorzewski Hans-Michael Tautenhahn Matthias König
author_facet	Adrian Köller Jan Grzegorzewski Hans-Michael Tautenhahn Matthias König
author_sort	Adrian Köller
title	Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests
title_short	Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests
title_full	Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests
title_fullStr	Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests
title_full_unstemmed	Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests
title_sort	prediction of survival after partial hepatectomy using a physiologically based pharmacokinetic model of indocyanine green liver function tests
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/99e58f9672544bdca25df699213c3b28
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Prediction of Survival After Partial Hepatectomy Using a Physiologically Based Pharmacokinetic Model of Indocyanine Green Liver Function Tests

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