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Risk index for early infections following living donor liver transplantation
INTRODUCTION: Post-operative infections in patients undergoing living donor liver transplantation (LDLT) are a major cause of morbidity and mortality. This study aims to develop a practical and efficient prognostic index for early identification and possible prediction of post-transplant infections...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Termedia Publishing House
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524199/ https://www.ncbi.nlm.nih.gov/pubmed/31110531 http://dx.doi.org/10.5114/aoms.2019.84736 |
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author | Elkholy, Shaimaa Mansour, Doaa Ahmed El-Hamid, SamahAbd Al-Jarhi, Ula M. El-Nahaas, Saeed M. Mogawer, Sherif |
author_facet | Elkholy, Shaimaa Mansour, Doaa Ahmed El-Hamid, SamahAbd Al-Jarhi, Ula M. El-Nahaas, Saeed M. Mogawer, Sherif |
author_sort | Elkholy, Shaimaa |
collection | PubMed |
description | INTRODUCTION: Post-operative infections in patients undergoing living donor liver transplantation (LDLT) are a major cause of morbidity and mortality. This study aims to develop a practical and efficient prognostic index for early identification and possible prediction of post-transplant infections using risk factors identified by multivariate analysis. MATERIAL AND METHODS: One hundred patients with post-hepatitic cirrhosis, HCV positive, genotype 4, Child B/C or MELD score 13-25 undergoing LDLT were included. All potential predictors of infection were analyzed by backward logistic regression. Cut-off values were obtained from ROC curve analysis. Significant predictors were combined into a risk index, which was further tested and compared by ROC curve analysis. RESULTS: Post-operative infection was associated with a significantly higher mortality (50.7% vs. 33.3%). Total leucocyte count, total bilirubin, early biliary complications, fever and C-reactive protein were found to be independent predictors of early infectious complications after LDLT. The risk index predicted infection with the highest sensitivity and specificity as compared with each predictor on its own (AUC = 0.91, 95% CI: 0.830–0.955, p < 0.0001). CONCLUSIONS: The use of a combined risk index for early diagnosis of post-operative infections can efficiently identify high risk patients. |
format | Online Article Text |
id | pubmed-6524199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Termedia Publishing House |
record_format | MEDLINE/PubMed |
spelling | pubmed-65241992019-05-20 Risk index for early infections following living donor liver transplantation Elkholy, Shaimaa Mansour, Doaa Ahmed El-Hamid, SamahAbd Al-Jarhi, Ula M. El-Nahaas, Saeed M. Mogawer, Sherif Arch Med Sci Clinical Research INTRODUCTION: Post-operative infections in patients undergoing living donor liver transplantation (LDLT) are a major cause of morbidity and mortality. This study aims to develop a practical and efficient prognostic index for early identification and possible prediction of post-transplant infections using risk factors identified by multivariate analysis. MATERIAL AND METHODS: One hundred patients with post-hepatitic cirrhosis, HCV positive, genotype 4, Child B/C or MELD score 13-25 undergoing LDLT were included. All potential predictors of infection were analyzed by backward logistic regression. Cut-off values were obtained from ROC curve analysis. Significant predictors were combined into a risk index, which was further tested and compared by ROC curve analysis. RESULTS: Post-operative infection was associated with a significantly higher mortality (50.7% vs. 33.3%). Total leucocyte count, total bilirubin, early biliary complications, fever and C-reactive protein were found to be independent predictors of early infectious complications after LDLT. The risk index predicted infection with the highest sensitivity and specificity as compared with each predictor on its own (AUC = 0.91, 95% CI: 0.830–0.955, p < 0.0001). CONCLUSIONS: The use of a combined risk index for early diagnosis of post-operative infections can efficiently identify high risk patients. Termedia Publishing House 2019-04-30 2019-05 /pmc/articles/PMC6524199/ /pubmed/31110531 http://dx.doi.org/10.5114/aoms.2019.84736 Text en Copyright: © 2019 Termedia & Banach http://creativecommons.org/licenses/by-nc-sa/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license. |
spellingShingle | Clinical Research Elkholy, Shaimaa Mansour, Doaa Ahmed El-Hamid, SamahAbd Al-Jarhi, Ula M. El-Nahaas, Saeed M. Mogawer, Sherif Risk index for early infections following living donor liver transplantation |
title | Risk index for early infections following living donor liver transplantation |
title_full | Risk index for early infections following living donor liver transplantation |
title_fullStr | Risk index for early infections following living donor liver transplantation |
title_full_unstemmed | Risk index for early infections following living donor liver transplantation |
title_short | Risk index for early infections following living donor liver transplantation |
title_sort | risk index for early infections following living donor liver transplantation |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524199/ https://www.ncbi.nlm.nih.gov/pubmed/31110531 http://dx.doi.org/10.5114/aoms.2019.84736 |
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