Liver transplantation is widely indicated as a curative treatment for selected patients with hepatocellular carcinoma. However, with recent therapeutic advances, as well as efforts to increase the donor pool, liver transplantation has been carefully expanded to patients with other primary or secondary malignancies in the liver. Cholangiocarcinoma, colorectal and neuroendocrine liver metastases, and hepatic epithelioid haemangioendothelioma are amongst the most relevant new indications. In this review we discuss the fundamental concepts of this ambitious undertaking, as well as the newest indications for liver transplantation, with a special focus on future perspectives within the recently established concept of transplant oncology.

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M. contributed equally to the article as first and senior authors.The funder of the study, National Institute for Health Research, had no role in study design, data collection, data analysis, data interpretation, writing of the report, or the decision to submit for publication. D.W., K.W., and J.v.d.M. had full access to all the data in the study, take responsibility for the integrity of the data and the accuracy of the data analysis, and had final responsibility for the decision to submit for publication.

Despite improvements in postliver transplant outcomes through refinements in perioperative management and surgical techniques, several changing trends in liver transplantation have presented challenges. Mortality on the waitlist remains high. In the United States, Europe, and the United Kingdom, there is an increasing need for liver transplantation, primarily as a result of increased incidence of nonalcoholic steatohepatitis-related cirrhosis and cancer indications. Meanwhile, donor suitability has decreased, as donors are often older and have more comorbidities. Despite a mismatch between organ need and availability, many organs are discarded. Notwithstanding this, many solutions have been developed to overcome these challenges. Innovative techniques in allograft preservation, viability assessment, and reconditioning have allowed the use of suboptimal organs with adequate results. Refinements in surgical procedures, including live donor liver transplantations, have increased the organ pool and are decreasing the time and mortality on the waitlist. Despite many challenges, a similar number of solutions and prospects are on the horizon. This review seeks to explore the changing trends and challenges in liver transplantation and highlight possible solutions and future directions.

Liver transplantation (LT) listing criteria for hepatocellular carcinoma (HCC) remain controversial. To optimize the utility of limited donor organs, this study aims to leverage machine learning to develop an accurate posttransplantation HCC recurrence prediction calculator. Patients with HCC listed for LT from 2000 to 2016 were identified, with 739 patients who underwent LT used for modeling. Data included serial imaging, alpha‐fetoprotein (AFP), locoregional therapies, treatment response, and posttransplantation outcomes. We compared the CoxNet (regularized Cox regression), survival random forest, survival support vector machine, and DeepSurv machine learning algorithms via the mean cross‐validated concordance index. We validated the selected CoxNet model by comparing it with other currently available recurrence risk algorithms on a held‐out test set (AFP, Model of Recurrence After Liver Transplant [MORAL], and Hazard Associated with liver Transplantation for Hepatocellular Carcinoma [HALT‐HCC score]). The developed CoxNet‐based recurrence prediction model showed a satisfying overall concordance score of 0.75 (95% confidence interval [CI], 0.64‐0.84). In comparison, the recalibrated risk algorithms’ concordance scores were as follows: AFP score 0.64 (outperformed by the CoxNet model, 1‐sided 95% CI, >0.01; P = 0.04) and MORAL score 0.64 (outperformed by the CoxNet model 1‐sided 95% CI, >0.02; P = 0.03). The recalibrated HALT‐HCC score performed well with a concordance of 0.72 (95% CI, 0.63‐0.81) and was not significantly outperformed (1‐sided 95% CI, ≥0.05; P = 0.29). Developing a comprehensive posttransplantation HCC recurrence risk calculator using machine learning is feasible and can yield higher accuracy than other available risk scores. Further research is needed to confirm the utility of machine learning in this setting.

OBJETIVO: avaliar os acidentes com material biológico entre estudantes de medicina estagiando em um pronto-socorro de trauma e identificar as principais situações relacionadas, causas atribuídas e prevenção. MÉTODOS: estudo com abordagem quantitativa. Os dados foram coletados através de um questionário, aplicado via internet, contendo perguntas fechadas de escolha múltipla, referentes a acidentes com material biológico. A amostra obtida foi 100 estudantes. RESULTADOS: trinta e dois se acidentaram com materiais biológicos. As atividades de maior risco foram anestesia local (39,47%), sutura (18,42%) e recapeamento de agulha (15,79%). As principais vias de exposição ao material biológico foram contato com olho ou mucosa, com 34%, através de seringa com agulha com 45%. Após a contaminação, apenas 52% notificaram o acidente ao setor responsável. CONCLUSÃO: as principais causas de acidente encontradas e vias de exposição podem ser atribuídas a diversos fatores, como falta de treinamento e ao não uso de equipamentos de proteção individual. Ações preventivas e educativas são de extrema importância para diminuir a incidência dos acidentes com materiais biológicos e melhorar a conduta pós-exposição. É preciso entender as principais causas atribuídas e situações relacionadas a fim de implantar medidas gerais e eficazes.

Advances in information and communication technologies are changing the delivery of trauma care and education. Telemedicine is a tool that can be used to deliver expert trauma care and education anywhere in the world. Trauma is a rapidly-evolving field requiring access to readily available sources of information. Through videoconferencing, physicians can participate in continuing education activities such as Grand Rounds, seminars, conferences and journal clubs. Exemplary programs have shown promising outcomes of teleconferences such as enhanced learning, professional collaborations, and networking. This review introduces the concept of telemedicine for trauma education, and highlights efforts of programs that are utilizing telemedicine to unite institutions across the world.

RESUMO Objetivo: avaliar a viabilidade de abreviação do jejum em cirurgias colorretais oncológicas, bem como, o impacto no desfecho cirúrgico dos pacientes. Métodos: estudo prospectivo comparativo randomizado com pacientes submetidos à cirurgias eletivas colorretais, por câncer, no período de maio a setembro de 2017. Os pacientes foram randomizados eletronicamente em dois grupos de acordo com o jejum pré-operatório a ser adotado: convencional ou abreviado. Resultados: dos 33 pacientes incluídos, 15 seguiram o protocolo de jejum abreviado e 18 de jejum convencional. Ambos os grupos apresentaram perfis comparáveis. Nenhum paciente foi submetido a preparo mecânico do cólon. Em 69,7% dos casos, a cirurgia envolveu dissecção baixa do reto. Os procedimentos foram equivalentes em relação às variáveis intraoperatórias e complicações graves. O tempo para atingir realimentação plena foi menor para o jejum abreviado (10 versus 16 dias, p=0,001), assim como, o tempo de internação hospitalar (2 versus 4 dias, p=0,009). Os custos hospitalares foram menores no jejum abreviado (331 versus 682 reais, p<0,001). A análise univariável revelou correlação entre a realimentação plena e o jejum abreviado [HR 0,29 (IC95%: 0,12-0,68] e com a distensão abdominal [HR 0,12(IC95%: 0,01-0,94)]. Após análise multivariável, o jejum abreviado apresentou menor tempo para realimentação plena [HR 0,39(IC95%: 0,16-0,92]. Conclusão: o jejum pré-operatório abreviado favorece a recuperação metabólico-nutricional, diminuindo o tempo para realimentação plena. A implantação do protocolo de abreviação do jejum reduz custos de internação hospitalar.