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Using Rotational Thromboelastometry to Identify Early Allograft Dysfunction after Living Donor Liver Transplantation
Chen-Fang Lee1,2, Hao-Chien Hung1, Wei-Chen Lee1,2
1Department of Liver and Transplantation Surgery, Chang-Gung Memorial Hospital at Linkou, Taoyuan City 333, Taiwan.
Journal of Clinical Medicine
|August 7, 2021
Summary
Rotational thromboelastometry (ROTEM) parameters, specifically clotting time and time to maximum clot firmness on EXTEM, independently predict early allograft dysfunction (EAD) after liver transplantation. Post-transplant ROTEM enhances EAD diagnosis and overall survival prediction.
Area of Science:
- Transplantation Medicine
- Hepatology
- Coagulation Science
Background:
- Early allograft dysfunction (EAD) diagnosis after living donor liver transplantation (LDLT) lacks standardized methods.
- Rotational thromboelastometry (ROTEM) offers a dynamic assessment of hemostasis.
Purpose of the Study:
- To evaluate the predictive capability of ROTEM-derived parameters for EAD post-LDLT.
- To assess ROTEM's utility in conjunction with conventional criteria for EAD diagnosis and overall survival (OS) prediction.
Main Methods:
- Retrospective review of 121 LDLT patients.
- EAD defined by Olthoff criteria (bilirubin, INR, AST/ALT levels at postoperative day 7).
- ROTEM analysis, including extrinsically activated thromboelastometric test (EXTEM), performed pre- and 24-hours post-LDLT.
Main Results:
- Clotting time (CT) and time to maximum clot firmness (MCF-t) on EXTEM were independent predictors of EAD (p=0.026 and p=0.009, respectively).
- CT showed 82.0% specificity and 83.0% negative predictive value; MCF-t showed 76.4% specificity and 81.9% negative predictive value for EAD.
- Incorporating 24-hour post-LDLT ROTEM data improved the prediction of overall survival compared to Olthoff criteria alone (p < 0.001).
Conclusions:
- EXTEM-derived CT and MCF are independent predictors of EAD after LDLT.
- ROTEM analysis 24 hours post-LDLT, combined with conventional tests, aids in EAD diagnosis.
- This combined approach enhances the prediction of overall survival in LDLT recipients.

