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This prospective study analyzed the dropout probability and intention-to-treat survival rates of patients with hepatocellular carcinoma (HCC) selected and treated according to our policy before liver transplantation (LT), with particular attention to those exceeding the Milan criteria. Exclusion criteria for LT were macroscopic vascular invasion, metastases, and poorly differentiated disease at percutaneous biopsy. A specific multi-modal adjuvant algorithm was used to treat HCC before LT. A total of 100 HCC patients were listed for LT: 40 exceeded the Milan criteria in terms of nodule size and number (MILAN OUT) either at listing or in list, while 60 patients continued to meet the criteria (MI-LAN IN). The Milan criteria did not prove to be a significant predictor of dropout probability or survival rates using Cox's analysis. Cumulative dropout probability at 6 and 12 months was 0% and 4% for MILAN OUT, and 6% and 11% for MILAN IN. The intention-to-treat survival rates at 1 and 3 years were 95% and 85% in MI-LAN OUT, and 84% and 69% in MILAN IN. None of the 68 transplanted patients had recurrent HCC after a median 16-month follow-up (0-69 months). In conclusion, LT may be effective for selected, aggressively-treated HCC patients exceeding the Milan criteria.

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Introduction: Upper gastrointestinal bleeding can be a life-threatening condition and requires careful evaluation from the very first episode in order to reduce the risk of rebleeding, hemorrhagic shock and death. The outcome of a patient with upper gastrointestinal bleeding depends on resuscitation measures taken during admission to the hospital and an adequate assessment of the patient’s risk level. Aim: The aim of the study is to compare Glasgow Blatchford score and Rockall score and to identify the most accurate score used in predicting unfavorable outcomes and the need for intervention. Methods: This study involves 237 patients with upper gastrointestinal bleeding. The accuracy of the scoring systems was assessed by plotting receiver-operating characteristic curves (ROC curves) and was calculated for GBS and RS with 95% confidence interval (CI). Results: As for mortality prediction, RS was superior to GBS (AUC 0.806 vs. 0.750). The GBS had a higher accuracy in detecting patients who needed transfusion units and was superior to the RS (AUC 0.810 vs.0.675). In predicting the need for intervention, RS was superior to GBS (AUC 0.707 vs. 0.636. Conclusion: GBS and RS are developed to help clinicians to triage patients appropriately in order to assess endoscopic therapy within a suitable time frame, as well as identify low risk patients for possible outpatient management. High accuracy of the GBS in predicting a need for transfusion represents an important endpoint to assess. RS was superior to GBS in predicting a need for intervention as well as mortality. Currently, a combination of these scoring systems is the best way for proper assessment.

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