scholarly journals DEVELOPMENT AND VALIDATION OF PREDICTION MODEL FOR GRAFT FAILURE AFTER LIVER TRANSPLANTATION USING POST-TRANSPLANTATION ASPARTATE AMINOTRANSFERASE, TOTAL BILIRUBIN AND PROTHROMBIN TIME

2020 ◽  
Vol 104 (S3) ◽  
pp. S478-S478
Author(s):  
Jinsoo Rhu ◽  
Jong Man Kim ◽  
Gyu-Seong Choi ◽  
Jae-Won Joh
Keyword(s):  
Liver Transplantation ◽  
Prediction Model ◽  
Prothrombin Time ◽  
Aspartate Aminotransferase ◽  
Graft Failure ◽  
Total Bilirubin ◽  
Post Transplantation ◽  
Development And Validation

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

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jinsoo Rhu ◽  
Jong Man Kim ◽  
Kyunga Kim ◽  
Heejin Yoo ◽  
Gyu-Seong Choi ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Prediction Model ◽  
Aspartate Aminotransferase ◽  
Graft Failure ◽  
Living Donor ◽  
Total Bilirubin ◽  
Deceased Donor ◽  
Time Dependent ◽  
Early Graft ◽  
Early Graft Failure

AbstractThis 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.

scholarly journals Prediction Model for Graft Survival After Liver Transplantation Using Aspartate Aminotransferase, Total Bilirubin and Coagulation Factor: ABC Model

2021 ◽  
Author(s):  
Jinsoo Rhu ◽  
Jong Man Kim ◽  
Kyunga Kim ◽  
Heejin Yoo ◽  
Gyu-Seong Choi ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Prediction Model ◽  
Graft Survival ◽  
Aspartate Aminotransferase ◽  
Living Donor ◽  
Total Bilirubin ◽  
Cox Regression ◽  
Coagulation Factor ◽  
Deceased Donor ◽  
Time Dependent

Abstract Background: This study was designed to build models predicting graft survival after liver transplantation.Methods: Cox regression model for predicting graft survival after liver transplantation using post-transplantation aspartate aminotransferase, total bilirubin, and international normalized ratio of prothrombin time was constructed. The model was compared with Model for Early Allograft Function Scoring (MEAF) and early allograft dysfunction (EAD) criteria.Results: 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 score (0.69,P=0.03) and EAD criteria. (0.66,P=0.001) while C-index for deceased donor (0.74,CI=0.65-0.83) was significantly higher compared to C-index of EAD criteria. (0.66,P=0.002) Time-dependent AUC at 4 weeks of living donor model (0.93,CI=0.86-0.99) was significantly higher compared to those of both MEAF score (0.87,P=0.02) and EAD criteria. (0.84,P=0.02) Time-dependent AUC at 4 weeks of deceased donor model (0.94,CI=0.89-1.00) was significantly higher compared to both MEAF score (0.82,P=0.02) and EAD criteria. (0.81,P<0.001) Internal validation for both living donor (C-index=0.68, AUC at 2 weeks=0.91, AUC at 4 weeks=0.92) and deceased donor (C-index=0.68, AUC at 2 weeks=0.86, AUC at 4 weeks=0.91) showed competent results. Conclusion: The prediction model for graft survival after liver transplantation showed high predictability and validity with higher predictability compared to traditional models.

scholarly journals Early elevated serum gamma glutamyl transpeptidase after liver transplantation is associated with better survival

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 85 ◽  
Author(s):  
Edris M Alkozai ◽  
Ton Lisman ◽  
Robert J Porte ◽  
Maarten W Nijsten
Keyword(s):  
Liver Transplantation ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Total Bilirubin ◽  
Elevated Serum ◽  
Glutathione Metabolism ◽  
Gamma Glutamyl Transpeptidase ◽  
Gamma Glutamyl ◽  
Increased Risk ◽  
Glutamyl Transpeptidase

Background: Gamma glutamyl transpeptidase (GGT) is a membrane bound enzyme that plays a key role in the synthesis of the antioxidant glutathione. Epidemiological studies have linked high GGT with an increased risk of morbidity and cardiovascular mortality. In contrast, GGT is usually elevated in liver transplant recipients that experience good outcomes.Aims: To study if and how GGT is correlated with mortality following liver transplantation.Methods: We analyzed the prognostic relevance of serum GGT levels during the early and late postoperative period after liver transplantation in 522 consecutive adults. We also studied alanine aminotransferase, aspartate aminotransferase, and total bilirubin levels.Results: Early after transplantation, the peak median (interquartile range) GGT levels were significantly higher in patients who survived more than 90 days compared to non-survivors: 293 (178-464) vs. 172 (84-239) U/l, p<0.0001. In contrast, late after transplantation, GGT levels were significantly lower in patients who survived more than 5 years than those who did not (p<0.01). The pattern of GGT levels also differed from those of alanine aminotransferase, aspartate aminotransferase, and total bilirubin early after transplantation, while these patterns were congruent late after transplantation. Kaplan-Meier survival analysis showed that early after transplantation the higher the GGT levels, the better the 90-day survival (p<0.001). In contrast, late after transplantation, higher GGT levels were associated with a lower 5-year survival (p<0.001).Conclusions:  These paradoxical findings may be explained by the time-dependent role of GGT in glutathione metabolism. Immediate postoperative elevation of GGT may indicate a physiological systemic response while chronic elevation reflects a pathological response.

Explore the mechanism of Swertia mussotii Franch. for hepatoprotective effects with iTRAQ-LC-MS/MS

2020 ◽  
Vol 23 ◽  
Author(s):  
Haixia Yun ◽  
Xinyu Wu ◽  
Yiwei Ding ◽  
Wendou Xiong ◽  
Xianglan Duan ◽  
...  
Keyword(s):  
Lipid Metabolism ◽  
Carbon Tetrachloride ◽  
Liver Injury ◽  
Aspartate Aminotransferase ◽  
Alanine Aminotransferase ◽  
Total Bilirubin ◽  
Acute Liver Injury ◽  
Proteome Analysis ◽  
Ppi Networks ◽  
Hepatoprotective Effects

Background and Objective : A Tibetan traditional herb named Swertia mussotii Franch., also called “Zangyinchen” by the local people of Qinghai-Tibet area, has been used to protect the liver from injury for many years. However, the curative effect and molecular mechanism of the herb have not been demonstrated clearly. Materials and Methods: In our study, serum alanine aminotransferase, aspartate aminotransferase, total bilirubin levels were examined after S. mussotii Franch. treatment in the acute liver injury of the carbon tetrachloride-induced rat model. Then, Proteome Analysis was applied to explore the potential mechanism of SMT for hepatoprotective effects after iTRAQLC-MS/MS analysis (isobaric tag for relative and absolute quantification-liquid chromatograph-mass spectrometer with tandem mass spectrometry). Results: Serum results showed, alanine aminotransferase, aspartate aminotransferase, total bilirubin levels of rats with acute liver injury were all improved with SMT treatment. Moreover, Proteome Analysis suggested that, with S. Mussotii Franch. treatment, the levels of lipid catabolic process and lipid homeostasis were all enhanced. And the results of protein-protein interaction (PPI) analysis illustrated that these proteins assembled in PPI networks were found almost significantly enriched in response to lipid, negative regulation of lipase activity, response to lipopolysaccharide etc. Furthermore, the downregulated MRP14 and MRP8 proteins were found involved in the lipid metabolism, which may indicate the mechanism of SMT protection liver from ALI induced by carbon tetrachloride. Conclusion: SMT herb could play a role in hepatoprotection and alleviate the effect of acute liver injury by impacting the lipid metabolism associated biological process.

scholarly journals Tailored Prediction Model of Survival after Liver Transplantation for Hepatocellular Carcinoma

2021 ◽  
Vol 10 (13) ◽  
pp. 2869
Author(s):  
Indah Jamtani ◽  
Kwang-Woong Lee ◽  
Yun-Hee Choi ◽  
Young-Rok Choi ◽  
Jeong-Moo Lee ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Liver Transplantation ◽  
Prediction Model ◽  
Risk Group ◽  
Significant Risk ◽  
Risk Scores ◽  
Accurate Information ◽  
Survival Prediction ◽  
Good Prediction ◽  
Recurrence Rates

This study aimed to create a tailored prediction model of hepatocellular carcinoma (HCC)-specific survival after transplantation based on pre-transplant parameters. Data collected from June 2006 to July 2018 were used as a derivation dataset and analyzed to create an HCC-specific survival prediction model by combining significant risk factors. Separate data were collected from January 2014 to June 2018 for validation. The prediction model was validated internally and externally. The data were divided into three groups based on risk scores derived from the hazard ratio. A combination of patient demographic, laboratory, radiological data, and tumor-specific characteristics that showed a good prediction of HCC-specific death at a specific time (t) were chosen. Internal and external validations with Uno’s C-index were 0.79 and 0.75 (95% confidence interval (CI) 0.65–0.86), respectively. The predicted survival after liver transplantation for HCC (SALT) at a time “t” was calculated using the formula: [1 − (HCC-specific death(t’))] × 100. The 5-year HCC-specific death and recurrence rates in the low-risk group were 2% and 5%; the intermediate-risk group was 12% and 14%, and in the high-risk group were 71% and 82%. Our HCC-specific survival predictor named “SALT calculator” could provide accurate information about expected survival tailored for patients undergoing transplantation for HCC.

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