Development and Validation of a Nomogram for Predicting Incidence of Early Allograft Dysfunction Following Liver Transplantation

Yang, Lu; Xin, Enhui; Liao, Bing; Lai, Lejin; Han, Ming; Wang, X.P.; Wang, Ju; Wang, D.P.; Guo, Zhiyong; He, Xiao Shun

doi:10.1016/j.transproceed.2017.03.083

Cited by 8 publications

(10 citation statements)

References 35 publications

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“…[ 4 , 24 ] Calculation models containing recipient and donor factors have been previously proposed to predict EAD after DDLT. [ 2 ] Indocyanine green plasma disappearance rate during reperfusion stage was also presented in the prediction of EAD and mortality after DDLT. [ 25 ] The contributing factors and mechanism for EAD are fundamentally different between LDLT and DDLT.…”

Section: Discussionmentioning

confidence: 99%

“…In patients with end-stage liver disease, liver transplantation (LT) has become increasingly standard among the treatment options. [ 1 , 2 ] In Western countries, transplanted organs are mostly obtained from brain stem-dead, heart-beating cadaveric donors. In 2017, there were 7715 cadaveric liver grafts transplanted in the United States.…”

Section: Introductionmentioning

confidence: 99%

“…Although the majority of EAD patients eventually recover, they are still at risk of longer intensive care unit and hospital stays, [ 20 , 21 ] graft loss, and greater morbidity and mortality. [ 22 ] Recently, a predictive model for EAD after LT was reported [ 2 ] ; nevertheless, a predictive score for EAD after LDLT in the form of a nomogram has not been developed. In this study, we aimed to develop a nomogram examining donor and recipient characteristics in addition to blood biomarkers at different stages of transplantation to predict EAD.…”

Section: Introductionmentioning

confidence: 99%

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A nomogram for prediction of early allograft dysfunction in living donor liver transplantation

Tsai

Lee

et al. 2020

Medicine

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Liver transplantation is the treatment of choice for end-stage liver diseases. However, early allograft dysfunction (EAD) is frequently encountered and associated with graft loss or mortality after transplantation. This study aimed to establish a predictive model of EAD after living donor liver transplantation. A total of 77 liver transplants were recruited to the study. Multivariate analysis was utilized to identify significant risk factors for EAD. A nomogram was constructed according to the contributions of the risk factors. The predictive values were determined by discrimination and calibration methods. A cohort of 30 patients was recruited to validate this predictive model. Four independent risk factors, including donor age, intraoperative blood loss, preoperative alanine aminotransferase (ALT), and reperfusion total bilirubin, were identified and used to build the nomogram. The c-statistics of the primary cohort and the validation group were 0.846 and 0.767, respectively. The calibration curves for the probability of EAD presented an acceptable agreement between the prediction by the nomogram and the actual incidence. In conclusion, the study developed a new nomogram for predicting the risk of EAD following living donor liver transplantation. This model may help clinicians to determine individual risk of EAD following living donor liver transplantation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A nomogram for prediction of early allograft dysfunction in living donor liver transplantation

Tsai

Lee

et al. 2020

Medicine

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“…Established risk factors for EAD in this cohort were identified from previous reports [ 15 , 16 ]. Identified recipient-related risk factors were age, BMI, ALT, and MELD score.…”

Section: Methodsmentioning

confidence: 99%

Uric Acid as a Predictor for Early Allograft Dysfunction after Living Donor Liver Transplantation: A Prospective Observational Study

Tsai

Lee

et al. 2021

JCM

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Early allograft dysfunction (EAD) is a postoperative complication that may cause graft failure and mortality after liver transplantation. The objective of this study was to examine whether the preoperative serum uric acid (SUA) level may predict EAD. We performed a prospective observational study, including 61 donor/recipient pairs who underwent living donor liver transplantation (LDLT). In the univariate and multivariate analysis, SUA ≤4.4 mg/dL was related to a five-fold (odds ratio (OR): 5.16, 95% confidence interval (CI): 1.41–18.83; OR: 5.39, 95% CI: 1.29–22.49, respectively) increased risk for EAD. A lower preoperative SUA was related to a higher incidence of and risk for EAD. Our study provides a new predictor for evaluating EAD and may exert a protective effect against EAD development.

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“…There are 3 categories of organ donation, including donation after brain death (DBD), donation after circulatory death (DCD), and Organ Donation after Brain Death followed by Circulatory Death (DBCD) [14]. Due to having less experience in maintenance techniques of potential donors, the incidence of EAD is 55.91%, which is higher in China than the incidence (23%) in the United States [15,16]. In this circumstance, NMP might provide a better method than cold storage to preserve donor livers in China.…”

Section: Introductionmentioning

confidence: 99%

First Preliminary Experience with Preservation of Liver Grafts from Extended-Criteria Donors by Normothermic Machine Perfusion in Asia

Zhang

Tang

et al. 2020

Ann Transplant

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Background: Normothermic machine perfusion (NMP) can provide access to evaluate and resuscitate high-risk donor livers before transplantation. The purpose of this study was to determine the efficacy of NMP in preservation and assessment of extended-criteria donor (ECD) livers in China. Case Reports: From September 2018 to March 2019, 4 liver grafts from 3 transplant center defined as ECD were subjected to NMP, and then were transplanted successfully. During perfusion, perfusion parameters such as vascular flow, glucose level, lactate clearance, and bile production/composition were recorded to assess graft viability. All recipients were followed up 6 months after transplantation. Conclusions: NMP provides a potential tool for preservation and assessment of ECD livers in China.

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Development and Validation of a Nomogram for Predicting Incidence of Early Allograft Dysfunction Following Liver Transplantation

Cited by 8 publications

References 35 publications

A nomogram for prediction of early allograft dysfunction in living donor liver transplantation

A nomogram for prediction of early allograft dysfunction in living donor liver transplantation

Uric Acid as a Predictor for Early Allograft Dysfunction after Living Donor Liver Transplantation: A Prospective Observational Study

First Preliminary Experience with Preservation of Liver Grafts from Extended-Criteria Donors by Normothermic Machine Perfusion in Asia

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