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

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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Summary: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.
ISSN:2691-3593

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