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BACKGROUND: Several minimally invasive treatments have been offered to patients with severe emphysema over the last two decades. Currently, endobronchial valves (EBVs) are the only approved therapeutic option, but this method has drawbacks: only a few can undergo this therapy and the incidence of pneumothorax remains high. A minimally invasive technique, appropriate for a broader patient population and posing fewer risks, would represent a desirable alternative to improve lung function in these patients. OBJECTIVE: The objective of this study was to demonstrate whether a new prototype implantable artificial bronchus (IAB) releases trapped air from the lungs of recently deceased patients with emphysema. METHOD: Seven recently deceased patients with emphysema were mechanically ventilated and the respiratory rate increased from 12 bpm (resting) to 30 bpm (exercise), inducing air trapping and dynamic hyperinflation. This protocol was performed twice, before and after IAB placement. Ventilation parameters and the fraction of inspired oxygen were similar in all patients. Respiratory system plateau pressure (Pplat,rs) and intrinsic positive end-expiratory pressure (iPEEP) were measured. RESULTS: IAB implantation significantly reduced Pplat,rs (p = 0.017) in 6 of 7 deceased patients with emphysema and iPEEP (p = 0.03) in 5 of 7 patients. CONCLUSIONS: Placement of one or two IABs in segmental bronchi (up to 15th generation) proved to be feasible and improved lung function. These findings should provide a basis for subsequent clinical studies to assess the safety and efficacy of IAB in patients with emphysema, as well as identify short- and long-term effects of this innovative procedure.

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Hepatopulmonary syndrome (HPS) is a complication of end stage liver disease (ESLD) and is manifested by severe hypoxemia, which usually responds to liver transplantation (LT). As compared to patients undergoing LT for other etiologies, patients with HPS present an increased risk of postoperative morbidity and mortality. There is no effective treatment for patients whose hypoxemia does not respond to LT. This subset of patients is at a highly increased risk of death. There are very few reports on the use of extracorporeal membrane oxygenation (ECMO) in this setting with rapid response. However, there is no prior report of ECMO utilization for longer than 4 weeks. We present the case of a 17 year-old male patient who underwent LT for ESLD secondary to chronic portal vein thrombosis and HPS. He received a liver from a deceased donor and presented with severe HPS after LT, requiring ECMO support for 67 days. The patient was discharged home and is breathing in ambient air. He is currently asymptomatic and has a normal liver function.

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Introdução: A pandemia de COVID-19, no Brasil, constituiu uma ameaça ao sistema de saúde pelo risco de esgotamento dos leitos de Unidade de Terapia Intensiva (UTI). O objetivo do estudo foi projetar a ocupação de leitos de UTI com casos de COVID-19 no pico em Porto Alegre. Para isso, resolvemos utilizar uma ferramenta matemática com parâmetros da pandemia desta cidade.Métodos:Utilizamos o modelo matemático SEIHDR. Analisamos os casos de hospitalização por COVID-19 em Porto Alegre e RS até 3 de agosto de 2020 a fim de extrair os parâmetros locais para construir uma curva epidemiológica do total de casos prevalentes hospitalizados em UTI. Também analisamos as taxas de reprodução básica (R0) e reprodução efetiva (Re).Resultados: O modelo matemático projetou um pico de 344 casos prevalentes, em UTI, para o dia 22 de agosto de 2020. Calculamos 1,56 para o R0 e 1,08 no dia 3 de agosto para o Re.Conclusão: O modelo matemático simulou uma primeira onda de casos ocupando leitos de UTI muito próxima dos dados reais. Também indicou corretamente uma queda no número de casos nos dois meses subsequentes. Apesar das limitações, as estimativas do modelo matemático forneceram informações sobre as dimensões temporal e numérica de uma pandemia que poderiam ser usadas como auxílio aos gestores de saúde na tomada de decisões para a alocação de recursos frente a calamidades de saúde como o surto de COVID-19 no Brasil.

Introduction: The COVID-19 pandemic in Brazil has been a threat to health services due to the risk of bed shortage in the intensive care unit (ICU). This study aimed to estimate the bed occupancy at the ICU with patients with COVID-19 during the peak of the pandemic in Porto Alegre, capital of Rio Grande do Sul (RS), the southernmost state of Brazil. To this end, we used a mathematical model with pandemic parameters from the city.Methods: We used the SEIHDR mathematical model. We analyzed hospitalizations for COVID-19 in Porto Alegre and RS until August 3, 2020, to extract local parameters to create an epidemiological curve of the total number of prevalent cases in the ICU. We also analyzed the basic reproduction rate (R0) and effective reproduction rate (Re). Results: The mathematical model estimated a peak of 344 prevalent cases in the ICU on August 22, 2020. The model calculated an R0 of 1.56 and Re of 1.08 on August 3, 2020.Conclusion: The mathematical model accurately estimated the first peak of cases in the ICU. Also, it correctly indicated a drop in the number of cases in the following two months. Despite the limitations, the mathematical model estimates provided information on the temporal and numerical dimensions of a pandemic that could be used to assist health managers in making decisions on the allocation of resources in a state of public calamity such as the COVID-19 outbreak in Brazil.

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BACKGROUND: We aimed to identify clinicopathological and molecular features associated with progression-free survival (PFS) and overall survival (OS) after pulmonary metastasectomy for metastatic colorectal cancer in a retrospective cohort in Brazil. MATERIALS AND METHODS: We did a retrospective review of thoracic surgeries performed in a single large academic hospital in Brazil from January 1985 to September 2019. Demographics, previously described prognostic factors, and clinicopathological and molecular characteristics were abstracted. Univariate Cox regression was performed for each variable, and, when significant, data were dichotomized to provide clinically meaningful thresholds. RESULTS: Records from 698 patients were reviewed. Fifty-eight patients underwent pulmonary metastasectomy with curative intent. Of those, 53.4% had a single metastatic lesion. The median size of the largest lesion was 1.5 cm. Results of RAS, RAF, and mismatch repair testing and of cytokeratin 20 (CK20) and CDX2 testing were available for 13.8% and 58.6% of the sample, respectively. Median PFS was 14 months, median OS was 58 months, and 5-year survival was 49.8%. Unfavorable prognostic factors for OS included disease-free interval (DFI) <24 months, synchronous presentation, size of the largest lesion ≥2 cm, and loss of CK20 expression. Presenting with more than one lesion was prognostic for PFS but not for OS. CONCLUSION: In this Brazilian cohort, our findings corroborate existing data supporting DFI, synchronous presentation, and number and size of lesions as prognostic factors. Furthermore, we found that loss of CK20 expression may be associated with more aggressive disease and shorter OS. Additional molecular prognostic factors after pulmonary metastasectomy for colorectal cancer should be further explored. IMPLICATIONS FOR PRACTICE: This study consolidates disease-free interval, synchronous presentation, and number and size of lesions as clinically relevant data that may help guide therapy for patients with colorectal cancer and lung metastases who are candidates for curative-intent metastasectomy. Additionally, in this sample, lack of cytokeratin 20 expression in metastases was associated with shorter progression-free survival and overall survival, suggesting that biomarkers also may have a role in guiding therapy in this setting and that additional biomarkers should be further explored.

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