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Clinical Validation of a Novel Scoring System Based on Donor and Recipient Risk Factors for Predicting Outcomes in Liver Transplantation.

Lucas Souto NacifDaniel Reis WaisbergLeonardo Yuri ZaniniRafael Soares PinheiroVinicius Rocha-SantosRubens Arantes MacedoLiliana Ducatti LopesLuciana HaddadRodrigo Bronze de MartinoFlávio GalvãoWellington AndrausLuiz Carneiro-D'Albuquerque
Published in: Annals of transplantation (2022)
BACKGROUND Adequate donor and recipient matching in liver transplantation is crucial to improve patient survival. Our objective was to propose and validate a new model for predicting outcomes using donor and recipient scoring criteria. MATERIAL AND METHODS We retrospectively analyzed data of all patients (n=932) who underwent liver transplantation (n=1106) from January 2006 to December 2018. For score standardization, 30% (n=280) of patients were randomly selected for analysis and divided into 3 categories: ≤4 points, 5 to 8 points, and >8 points. Scoring system validation was performed on a dataset with 70% (n=652) of the patients. RESULTS Survival of the stratified group (30%) was significant (P<0.001). Scores of 4 to 8 points presented lower risk of death (1.74 [CI 0.97-3.13; P=0.062]), while >8 points presented higher risk (2.74 [CI 1.36-5.57; P=0.005]). In the validation score (70%), global survival was significant (P<0.0016); patients with scores of 4 to 8 points had lower risk of death (1.16 [CI 1.16-2.38; P=0.005]); and scores >8 points (2.22 [CI 1.40-3.50; P<0.001]), retransplant, fulminant hepatitis, previous large abdominal/biliary tree surgery, MELD score, and serum creatinine before liver transplantation >1.5 mg/dL (P<0.05) presented higher risk. Individual recipient factors with 4 to 8 points had a lower risk of death (2.29 [CI 1.82-2.87; P<0.0001]) than those with scores >8 points (4.02 [CI 2.22-7.26; P<0.0001]). CONCLUSIONS A novel prognostic-based scoring system using donor and recipient characteristics was proposed and clinically validated. Two-factor scoring indicated the superiority of the predictability outcome and improved prediction of higher mortality.
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