Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor

Abstract This study was designed to build models predicting early graft failure after liver transplantation. Cox regression model for predicting early graft failure after liver transplantation using post-transplantation aspartate aminotransferase, total bilirubin, and international normalized ratio...

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Autores principales:	Jinsoo Rhu, Jong Man Kim, Kyunga Kim, Heejin Yoo, Gyu-Seong Choi, Jae-Won Joh
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ca33fcedf3684d00b0ffa4012b88638f
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spelling	oai:doaj.org-article:ca33fcedf3684d00b0ffa4012b88638f2021-12-02T16:04:18ZPrediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor10.1038/s41598-021-92298-62045-2322https://doaj.org/article/ca33fcedf3684d00b0ffa4012b88638f2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-92298-6https://doaj.org/toc/2045-2322Abstract This study was designed to build models predicting early graft failure after liver transplantation. Cox regression model for predicting early graft failure after liver transplantation using post-transplantation aspartate aminotransferase, total bilirubin, and international normalized ratio of prothrombin time was constructed based on data from both living donor (n = 1153) and deceased donor (n = 359) liver transplantation performed during 2004 to 2018. The model was compared with Model for Early Allograft Function Scoring (MEAF) and early allograft dysfunction (EAD) with their C-index and time-dependent area-under-curve (AUC). The C-index of the model for living donor (0.73, CI = 0.67–0.79) was significantly higher compared to those of both MEAF (0.69, P = 0.03) and EAD (0.66, P = 0.001) while C-index for deceased donor (0.74, CI = 0.65–0.83) was only significantly higher compared to C-index of EAD. (0.66, P = 0.002) Time-dependent AUC at 2 weeks of living donor (0.96, CI = 0.91–1.00) and deceased donor (0.98, CI = 0.96–1.00) were significantly higher compared to those of EAD. (both 0.83, P < 0.001 for living donor and deceased donor) Time-dependent AUC at 4 weeks of living donor (0.93, CI = 0.86–0.99) was significantly higher compared to those of both MEAF (0.87, P = 0.02) and EAD. (0.84, P = 0.02) Time-dependent AUC at 4 weeks of deceased donor (0.94, CI = 0.89–1.00) was significantly higher compared to both MEAF (0.82, P = 0.02) and EAD. (0.81, P < 0.001). The prediction model for early graft failure after liver transplantation showed high predictability and validity with higher predictability compared to traditional models for both living donor and deceased donor liver transplantation.Jinsoo RhuJong Man KimKyunga KimHeejin YooGyu-Seong ChoiJae-Won JohNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jinsoo Rhu Jong Man Kim Kyunga Kim Heejin Yoo Gyu-Seong Choi Jae-Won Joh Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor
description	Abstract This study was designed to build models predicting early graft failure after liver transplantation. Cox regression model for predicting early graft failure after liver transplantation using post-transplantation aspartate aminotransferase, total bilirubin, and international normalized ratio of prothrombin time was constructed based on data from both living donor (n = 1153) and deceased donor (n = 359) liver transplantation performed during 2004 to 2018. The model was compared with Model for Early Allograft Function Scoring (MEAF) and early allograft dysfunction (EAD) with their C-index and time-dependent area-under-curve (AUC). The C-index of the model for living donor (0.73, CI = 0.67–0.79) was significantly higher compared to those of both MEAF (0.69, P = 0.03) and EAD (0.66, P = 0.001) while C-index for deceased donor (0.74, CI = 0.65–0.83) was only significantly higher compared to C-index of EAD. (0.66, P = 0.002) Time-dependent AUC at 2 weeks of living donor (0.96, CI = 0.91–1.00) and deceased donor (0.98, CI = 0.96–1.00) were significantly higher compared to those of EAD. (both 0.83, P < 0.001 for living donor and deceased donor) Time-dependent AUC at 4 weeks of living donor (0.93, CI = 0.86–0.99) was significantly higher compared to those of both MEAF (0.87, P = 0.02) and EAD. (0.84, P = 0.02) Time-dependent AUC at 4 weeks of deceased donor (0.94, CI = 0.89–1.00) was significantly higher compared to both MEAF (0.82, P = 0.02) and EAD. (0.81, P < 0.001). The prediction model for early graft failure after liver transplantation showed high predictability and validity with higher predictability compared to traditional models for both living donor and deceased donor liver transplantation.
format	article
author	Jinsoo Rhu Jong Man Kim Kyunga Kim Heejin Yoo Gyu-Seong Choi Jae-Won Joh
author_facet	Jinsoo Rhu Jong Man Kim Kyunga Kim Heejin Yoo Gyu-Seong Choi Jae-Won Joh
author_sort	Jinsoo Rhu
title	Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor
title_short	Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor
title_full	Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor
title_fullStr	Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor
title_full_unstemmed	Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor
title_sort	prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/ca33fcedf3684d00b0ffa4012b88638f
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Prediction model for early graft failure after liver transplantation using aspartate aminotransferase, total bilirubin and coagulation factor

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