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.

Early graft failure due to a veno-occlusive disease after a pediatric living donor liver transplantation

2004 ◽  
Vol 8 (3) ◽  
pp. 301-304 ◽  
Author(s):  
Toshiya Izaki ◽  
Yukihiro Inomata ◽  
Katsuhiro Asonuma ◽  
Hideaki Okajima ◽  
Hajime Ohshiro ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Graft Failure ◽  
Living Donor ◽  
Living Donor Liver Transplantation ◽  
Occlusive Disease ◽  
Donor Liver ◽  
Donor Liver Transplantation ◽  
Early Graft ◽  
Early Graft Failure

CLINICAL AND HISTOLOGIC PATTERNS OF EARLY GRAFT FAILURE DUE TO RECURRENT HEPATITIS C IN FOUR PATIENTS AFTER LIVER TRANSPLANTATION

1996 ◽  
Vol 61 (5) ◽  
pp. 701-705 ◽  
Author(s):  
Rolland C. Dickson ◽  
Stephen H. Caldwell ◽  
Michael B. Ishitani ◽  
Johnson Y.N. Lau ◽  
Carolyn J. Driscoll ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Hepatitis C ◽  
Graft Failure ◽  
Recurrent Hepatitis ◽  
Early Graft ◽  
Recurrent Hepatitis C ◽  
Early Graft Failure

Increased Early Graft Failure in Right-Sided Living Donor Nephrectomy

2011 ◽  
Vol 91 (1) ◽  
pp. 108-114 ◽  
Author(s):  
John W. Hsu ◽  
Peter P. Reese ◽  
Ali Naji ◽  
Matthew H. Levine ◽  
Peter L. Abt
Keyword(s):  
Graft Failure ◽  
Living Donor ◽  
Donor Nephrectomy ◽  
Living Donor Nephrectomy ◽  
Early Graft ◽  
Early Graft Failure

scholarly journals A simple scoring model for predicting early graft failure and postoperative mortality after liver transplantation

2019 ◽  
Vol 18 (6) ◽  
pp. 902-912 ◽  
Author(s):  
Rafael Diaz-Nieto ◽  
Panagis Lykoudis ◽  
Francis Robertson ◽  
Dinesh Sharma ◽  
Kevin Moore ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Graft Failure ◽  
Postoperative Mortality ◽  
Scoring Model ◽  
Early Graft ◽  
Early Graft Failure

Platelet Adhesion in Polytetrafluoroethylene (PTFE) Vascular Grafts In Vivo and the Influence of Increased Intramuscular Pressure-An Experimental Model

1983 ◽  
Vol 50 (04) ◽  
pp. 881-884 ◽  
Author(s):  
J T Christenson ◽  
P Qvarfordt ◽  
S-E Strand ◽  
D Arvidsson ◽  
T Sjöberg ◽  
...  
Keyword(s):  
Blood Flow ◽  
Graft Failure ◽  
Small Diameter ◽  
Graft Material ◽  
Intramuscular Pressure ◽  
Initial Flow ◽  
Early Graft ◽  
Wick Technique ◽  
Early Graft Failure

SummaryThrombogenicity of graft material is involved in early graft failure in small diameter grafts. The frequently seen postoperative swelling of the leg after distal revascularization may cause an increased intramuscular pressure and early graft failure.Pairs of 4 mm polytetrafluoroethylene (PTFE) grafts were implanted. Autologous platelets were labeled with mIn-oxine. Platelet adhesiveness onto the grafts were analyzed from gamma camera images. Intramuscular pressures were measured with wick technique. Blood flow was measured. One graft served as control the other as test graft. Ninety minutes after declamping the i. m. pressure was increased in the test-leg to 30 mmHg, and later to 60 mmHg.In the control-graft platelet uptake increased to a maximum 60 min after declamping. Blood flow and i.m. pressure remained uneffected. The test-grafts were initially similar but when i.m. pressure was increased to 30 mmHg activity in the grafts increased significantly. Blood flow decreased with 12% of initial flow. When i. m. pressure was raised to 60 mmHg platelet uptake continued to increase.An increased intramuscular pressure of 30 mmHg or more significantly increase the amount of platelets adhering onto PTFE grafts, emphasizing the need for measuring intramuscular pressures after lower limb vascular revascularizations.

Correlation of laboratory and ECG changes with early graft failure after CABG

2005 ◽  
Vol 53 (S 01) ◽  
Author(s):  
A Schnell ◽  
A Künzli ◽  
B Seifert ◽  
O Reuthebuch ◽  
M Lachat ◽  
...  
Keyword(s):  
Graft Failure ◽  
Ecg Changes ◽  
Early Graft ◽  
Early Graft Failure
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