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The role of the comprehensive complication index for the prediction of survival after liver transplantation
In the last years, several scoring systems based on pre- and post-transplant parameters have been developed to predict early post-LT graft function. However, some of them showed poor diagnostic abilities. This study aims to evaluate the role of the comprehensive complication index (CCI) as a useful...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889667/ https://www.ncbi.nlm.nih.gov/pubmed/32892294 http://dx.doi.org/10.1007/s13304-020-00878-4 |
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author | Lai, Quirino Melandro, Fabio Nowak, Greg Nicolini, Daniele Iesari, Samuele Fasolo, Elisa Mennini, Gianluca Romano, Antonio Mocchegiani, Federico Ackenine, Kevin Polacco, Marina Marinelli, Laura Ciccarelli, Olga Zanus, Giacomo Vivarelli, Marco Cillo, Umberto Rossi, Massimo Ericzon, Bo-Göran Lerut, Jan |
author_facet | Lai, Quirino Melandro, Fabio Nowak, Greg Nicolini, Daniele Iesari, Samuele Fasolo, Elisa Mennini, Gianluca Romano, Antonio Mocchegiani, Federico Ackenine, Kevin Polacco, Marina Marinelli, Laura Ciccarelli, Olga Zanus, Giacomo Vivarelli, Marco Cillo, Umberto Rossi, Massimo Ericzon, Bo-Göran Lerut, Jan |
author_sort | Lai, Quirino |
collection | PubMed |
description | In the last years, several scoring systems based on pre- and post-transplant parameters have been developed to predict early post-LT graft function. However, some of them showed poor diagnostic abilities. This study aims to evaluate the role of the comprehensive complication index (CCI) as a useful scoring system for accurately predicting 90-day and 1-year graft loss after liver transplantation. A training set (n = 1262) and a validation set (n = 520) were obtained. The study was registered at https://www.ClinicalTrials.gov (ID: NCT03723317). CCI exhibited the best diagnostic performance for 90 days in the training (AUC = 0.94; p < 0.001) and Validation Sets (AUC = 0.77; p < 0.001) when compared to the BAR, D-MELD, MELD, and EAD scores. The cut-off value of 47.3 (third quartile) showed a diagnostic odds ratio of 48.3 and 7.0 in the two sets, respectively. As for 1-year graft loss, CCI showed good performances in the training (AUC = 0.88; p < 0.001) and validation sets (AUC = 0.75; p < 0.001). The threshold of 47.3 showed a diagnostic odds ratio of 21.0 and 5.4 in the two sets, respectively. All the other tested scores always showed AUCs < 0.70 in both the sets. CCI showed a good stratification ability in terms of graft loss rates in both the sets (log-rank p < 0.001). In the patients exceeding the CCI ninth decile, 1-year graft survival rates were only 0.7% and 23.1% in training and validation sets, respectively. CCI shows a very good diagnostic power for 90-day and 1-year graft loss in different sets of patients, indicating better accuracy with respect to other pre- and post-LT scores. Clinical Trial Notification: NCT03723317. |
format | Online Article Text |
id | pubmed-7889667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-78896672021-03-03 The role of the comprehensive complication index for the prediction of survival after liver transplantation Lai, Quirino Melandro, Fabio Nowak, Greg Nicolini, Daniele Iesari, Samuele Fasolo, Elisa Mennini, Gianluca Romano, Antonio Mocchegiani, Federico Ackenine, Kevin Polacco, Marina Marinelli, Laura Ciccarelli, Olga Zanus, Giacomo Vivarelli, Marco Cillo, Umberto Rossi, Massimo Ericzon, Bo-Göran Lerut, Jan Updates Surg Original Article In the last years, several scoring systems based on pre- and post-transplant parameters have been developed to predict early post-LT graft function. However, some of them showed poor diagnostic abilities. This study aims to evaluate the role of the comprehensive complication index (CCI) as a useful scoring system for accurately predicting 90-day and 1-year graft loss after liver transplantation. A training set (n = 1262) and a validation set (n = 520) were obtained. The study was registered at https://www.ClinicalTrials.gov (ID: NCT03723317). CCI exhibited the best diagnostic performance for 90 days in the training (AUC = 0.94; p < 0.001) and Validation Sets (AUC = 0.77; p < 0.001) when compared to the BAR, D-MELD, MELD, and EAD scores. The cut-off value of 47.3 (third quartile) showed a diagnostic odds ratio of 48.3 and 7.0 in the two sets, respectively. As for 1-year graft loss, CCI showed good performances in the training (AUC = 0.88; p < 0.001) and validation sets (AUC = 0.75; p < 0.001). The threshold of 47.3 showed a diagnostic odds ratio of 21.0 and 5.4 in the two sets, respectively. All the other tested scores always showed AUCs < 0.70 in both the sets. CCI showed a good stratification ability in terms of graft loss rates in both the sets (log-rank p < 0.001). In the patients exceeding the CCI ninth decile, 1-year graft survival rates were only 0.7% and 23.1% in training and validation sets, respectively. CCI shows a very good diagnostic power for 90-day and 1-year graft loss in different sets of patients, indicating better accuracy with respect to other pre- and post-LT scores. Clinical Trial Notification: NCT03723317. Springer International Publishing 2020-09-06 2021 /pmc/articles/PMC7889667/ /pubmed/32892294 http://dx.doi.org/10.1007/s13304-020-00878-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Lai, Quirino Melandro, Fabio Nowak, Greg Nicolini, Daniele Iesari, Samuele Fasolo, Elisa Mennini, Gianluca Romano, Antonio Mocchegiani, Federico Ackenine, Kevin Polacco, Marina Marinelli, Laura Ciccarelli, Olga Zanus, Giacomo Vivarelli, Marco Cillo, Umberto Rossi, Massimo Ericzon, Bo-Göran Lerut, Jan The role of the comprehensive complication index for the prediction of survival after liver transplantation |
title | The role of the comprehensive complication index for the prediction of survival after liver transplantation |
title_full | The role of the comprehensive complication index for the prediction of survival after liver transplantation |
title_fullStr | The role of the comprehensive complication index for the prediction of survival after liver transplantation |
title_full_unstemmed | The role of the comprehensive complication index for the prediction of survival after liver transplantation |
title_short | The role of the comprehensive complication index for the prediction of survival after liver transplantation |
title_sort | role of the comprehensive complication index for the prediction of survival after liver transplantation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7889667/ https://www.ncbi.nlm.nih.gov/pubmed/32892294 http://dx.doi.org/10.1007/s13304-020-00878-4 |
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