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Abstract Background Bacterial pneumonia is one of the most common causes of acute respiratory distress syndrome. In fulminant cases, when mechanical ventilation fails, veno-venous extracorporeal membrane oxygenation is required. However, this method is still associated with significant mortality and a wide range of potential complications. However, there are now many case reports of good outcomes even in patients with prolonged extracorporeal oxygenation, as in our rather complicated case report. Case presentation Our case report describes a complicated but successful treatment of a severe, devastating bacterial pneumonia in a 39-year-old European polymorbid woman with a rare form of diabetes mellitus, which had been poorly compensated for a long time with limited compliance, in the context of a combined immunodeficiency that strongly influenced the course of the disease. The patient’s hospitalization required a total of 30 days of veno-venous extracorporeal membrane oxygenation therapy and more than 50 days of mechanical ventilation. Numerous complications, particularly bleeding, required seven chest drains, two extracorporeal membrane oxygenation circuit changes, and one surgical revision. The patient’s mental state required repeated psychiatric intervention. Conclusion It is possible that even the initially severely damaged lung parenchyma can develop its regenerative potential if suitable conditions are provided for this process, including a sufficiently long period of extracorporeal membrane oxygenation. We believe that this case report may also contribute to the consideration of the indications and contraindications of extracorporeal support. The authors also discuss the limitations and risks of prolonged veno-venous extracorporeal membrane oxygenation support and periprocedural anticoagulation strategies.

The article deals with the possible application of the Solver optimization module to solving the single-circuit transport problems. First, the article describes the single-circuit transport problems and the optimization module Solver itself. Using the specific model example of beer distribution, the author demonstrates the algorithm which may be applied to solving single-circuit transport problems by means of Solver. The travel route designed by Solver is then compared with the originally proposed route. The values being compared include the total length of travel routes created and the associated variable costs spent on serving customers and also route design time. Thus, using the practical example of beer distribution, the manuscript has demonstrated the algorithm which is used for addressing the single-circuit transport problems. Nonetheless, possible application of the Solver tool is not limited to seeking a solution to the travelling salesman problem only. It can also be implemented even to discussing the multi-circuit transport problems with various confinements.