e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation

Objective:. This study aimed to analyze risk factors and develop a predictive model for early allograft loss due to early graft dysfunction (EGD) in adult live-donor liver transplantation (LDLT). Methods:. Data of patients who underwent LDLT from 2011 to 2019 were reviewed for EGD, associated factor...

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Main Authors: Viniyendra Pamecha, MS, MRCS, FRCS, FEBS, Nilesh Sadashiv Patil, MS, MCh, Tharun Gattu, MS, Guresh Kumar, MSc, MPhil, PhD, Bramhadatta Pattnaik, MS, MCh, Nihar Mohapatra, MS, MCh, Gaurav Sindwani, MD, PDCC, Ashok Choudhury, MD, DM
Format: Article
Language:English
Published: Wolters Kluwer Health 2023-12-01
Series:Annals of Surgery Open
Online Access:http://journals.lww.com/10.1097/AS9.0000000000000332
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author Viniyendra Pamecha, MS, MRCS, FRCS, FEBS
Nilesh Sadashiv Patil, MS, MCh
Tharun Gattu, MS
Guresh Kumar, MSc, MPhil, PhD
Bramhadatta Pattnaik, MS, MCh
Nihar Mohapatra, MS, MCh
Gaurav Sindwani, MD, PDCC
Ashok Choudhury, MD, DM
author_facet Viniyendra Pamecha, MS, MRCS, FRCS, FEBS
Nilesh Sadashiv Patil, MS, MCh
Tharun Gattu, MS
Guresh Kumar, MSc, MPhil, PhD
Bramhadatta Pattnaik, MS, MCh
Nihar Mohapatra, MS, MCh
Gaurav Sindwani, MD, PDCC
Ashok Choudhury, MD, DM
author_sort Viniyendra Pamecha, MS, MRCS, FRCS, FEBS
collection DOAJ
description Objective:. This study aimed to analyze risk factors and develop a predictive model for early allograft loss due to early graft dysfunction (EGD) in adult live-donor liver transplantation (LDLT). Methods:. Data of patients who underwent LDLT from 2011 to 2019 were reviewed for EGD, associated factors, and outcomes. A homogeneous group of 387 patients was analyzed: random cohort A (n = 274) for primary analysis and random cohort B (n = 113) for validation. Results:. Of 274 recipients, 92 (33.6%) developed EGD. The risk of graft loss within 90 days was 29.3% and 7.1% in those with and without EGD, respectively (P < 0.001). Multivariate logistic regression analysis determined donor age (P = 0.045), estimated (e) graft weight (P = 0.001), and the model for end-stage liver disease (MELD) score (0.001) as independent predictors of early graft loss due to EGD. Regression coefficients of these factors were employed to formulate the risk model: Predicted (P) early graft loss risk (e-GLR) score = 10 × [(donor age × 0.052) + (e-Graft weight × 1.681) + (MELD × 0.145)] − 8.606 (e-Graft weight = 0, if e-Graft weight ≥640 g and e-Graft weight = 1, and if e-Graft weight < 640 g). Internal cross-validation revealed a high predictive value (C-statistic = 0.858). Conclusions:. Our novel risk score can efficiently predict early allograft loss following graft dysfunction, which enables donor-recipient matching, evaluation, and prognostication simply and reliably in adult LDLT.
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spelling doaj-art-8abf650336cb4abf85cefa63493ba4802025-01-24T09:18:11ZengWolters Kluwer HealthAnnals of Surgery Open2691-35932023-12-0144e33210.1097/AS9.0000000000000332202312000-00006e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver TransplantationViniyendra Pamecha, MS, MRCS, FRCS, FEBS0Nilesh Sadashiv Patil, MS, MCh1Tharun Gattu, MS2Guresh Kumar, MSc, MPhil, PhD3Bramhadatta Pattnaik, MS, MCh4Nihar Mohapatra, MS, MCh5Gaurav Sindwani, MD, PDCC6Ashok Choudhury, MD, DM7From the * Liver Transplant and Hepato-Pancreato-Biliary SurgeryFrom the * Liver Transplant and Hepato-Pancreato-Biliary SurgeryFrom the * Liver Transplant and Hepato-Pancreato-Biliary Surgery† BiostatisticsFrom the * Liver Transplant and Hepato-Pancreato-Biliary SurgeryFrom the * Liver Transplant and Hepato-Pancreato-Biliary Surgery‡ Anaesthesiology§ Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.Objective:. This study aimed to analyze risk factors and develop a predictive model for early allograft loss due to early graft dysfunction (EGD) in adult live-donor liver transplantation (LDLT). Methods:. Data of patients who underwent LDLT from 2011 to 2019 were reviewed for EGD, associated factors, and outcomes. A homogeneous group of 387 patients was analyzed: random cohort A (n = 274) for primary analysis and random cohort B (n = 113) for validation. Results:. Of 274 recipients, 92 (33.6%) developed EGD. The risk of graft loss within 90 days was 29.3% and 7.1% in those with and without EGD, respectively (P < 0.001). Multivariate logistic regression analysis determined donor age (P = 0.045), estimated (e) graft weight (P = 0.001), and the model for end-stage liver disease (MELD) score (0.001) as independent predictors of early graft loss due to EGD. Regression coefficients of these factors were employed to formulate the risk model: Predicted (P) early graft loss risk (e-GLR) score = 10 × [(donor age × 0.052) + (e-Graft weight × 1.681) + (MELD × 0.145)] − 8.606 (e-Graft weight = 0, if e-Graft weight ≥640 g and e-Graft weight = 1, and if e-Graft weight < 640 g). Internal cross-validation revealed a high predictive value (C-statistic = 0.858). Conclusions:. Our novel risk score can efficiently predict early allograft loss following graft dysfunction, which enables donor-recipient matching, evaluation, and prognostication simply and reliably in adult LDLT.http://journals.lww.com/10.1097/AS9.0000000000000332
spellingShingle Viniyendra Pamecha, MS, MRCS, FRCS, FEBS
Nilesh Sadashiv Patil, MS, MCh
Tharun Gattu, MS
Guresh Kumar, MSc, MPhil, PhD
Bramhadatta Pattnaik, MS, MCh
Nihar Mohapatra, MS, MCh
Gaurav Sindwani, MD, PDCC
Ashok Choudhury, MD, DM
e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation
Annals of Surgery Open
title e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation
title_full e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation
title_fullStr e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation
title_full_unstemmed e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation
title_short e-GLR Score Predicts Early Graft Loss in Adult Live-Donor Liver Transplantation
title_sort e glr score predicts early graft loss in adult live donor liver transplantation
url http://journals.lww.com/10.1097/AS9.0000000000000332
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