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The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients
BACKGROUND: Early prediction of outcome would be useful for an optimal intensive care management of liver transplant recipients. Indocyanine green clearance can be measured non-invasively by pulse spectrophometry and is closely related to liver function. METHODS: This study was undertaken to assess...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384315/ https://www.ncbi.nlm.nih.gov/pubmed/25844060 http://dx.doi.org/10.1186/1471-2253-14-103 |
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author | Klinzing, Stephanie Brandi, Giovanna Stehberger, Paul A Raptis, Dimitri A Béchir, Markus |
author_facet | Klinzing, Stephanie Brandi, Giovanna Stehberger, Paul A Raptis, Dimitri A Béchir, Markus |
author_sort | Klinzing, Stephanie |
collection | PubMed |
description | BACKGROUND: Early prediction of outcome would be useful for an optimal intensive care management of liver transplant recipients. Indocyanine green clearance can be measured non-invasively by pulse spectrophometry and is closely related to liver function. METHODS: This study was undertaken to assess the predictive value of a combination of the model of end stage liver disease (MELD) score and early indocyanine plasma disappearance rates (ICG-PDR) for length of stay in the intensive care unit (ICU), length of stay in the hospital and hospital mortality in liver transplant recipients. RESULTS: Fifty consecutive liver transplant recipients were included in this post Hoc single-center study. ICG-PDR was determined within 6 hours after ICU admission. Endpoints were length of stay in the ICU, length of hospital stay and hospital mortality. The combination of a high MELD score (MELD >25) and a low ICG-PDR clearance (ICG-PDR < 20%/minute) predicts a significant longer stay in the ICU (p = 0.004), a significant longer stay in the hospital (p < 0.001) and a hospital mortality of 40% vs. 0% (p = 0.003). CONCLUSION: The combination of MELD scores and a singular ICG-PDR measurement in the early postoperative phase is an accurate predictor for outcome in liver transplant recipients. This easy-to-assess tool might be valuable for an optimal intensive care management of those patients. |
format | Online Article Text |
id | pubmed-4384315 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43843152015-04-04 The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients Klinzing, Stephanie Brandi, Giovanna Stehberger, Paul A Raptis, Dimitri A Béchir, Markus BMC Anesthesiol Research Article BACKGROUND: Early prediction of outcome would be useful for an optimal intensive care management of liver transplant recipients. Indocyanine green clearance can be measured non-invasively by pulse spectrophometry and is closely related to liver function. METHODS: This study was undertaken to assess the predictive value of a combination of the model of end stage liver disease (MELD) score and early indocyanine plasma disappearance rates (ICG-PDR) for length of stay in the intensive care unit (ICU), length of stay in the hospital and hospital mortality in liver transplant recipients. RESULTS: Fifty consecutive liver transplant recipients were included in this post Hoc single-center study. ICG-PDR was determined within 6 hours after ICU admission. Endpoints were length of stay in the ICU, length of hospital stay and hospital mortality. The combination of a high MELD score (MELD >25) and a low ICG-PDR clearance (ICG-PDR < 20%/minute) predicts a significant longer stay in the ICU (p = 0.004), a significant longer stay in the hospital (p < 0.001) and a hospital mortality of 40% vs. 0% (p = 0.003). CONCLUSION: The combination of MELD scores and a singular ICG-PDR measurement in the early postoperative phase is an accurate predictor for outcome in liver transplant recipients. This easy-to-assess tool might be valuable for an optimal intensive care management of those patients. BioMed Central 2014-11-15 /pmc/articles/PMC4384315/ /pubmed/25844060 http://dx.doi.org/10.1186/1471-2253-14-103 Text en © Klinzing et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. |
spellingShingle | Research Article Klinzing, Stephanie Brandi, Giovanna Stehberger, Paul A Raptis, Dimitri A Béchir, Markus The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients |
title | The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients |
title_full | The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients |
title_fullStr | The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients |
title_full_unstemmed | The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients |
title_short | The combination of MELD score and ICG liver testing predicts length of stay in the ICU and hospital mortality in liver transplant recipients |
title_sort | combination of meld score and icg liver testing predicts length of stay in the icu and hospital mortality in liver transplant recipients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384315/ https://www.ncbi.nlm.nih.gov/pubmed/25844060 http://dx.doi.org/10.1186/1471-2253-14-103 |
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