Background: Burkholderia gladioli (B gladioli) is a rare, gram-negative rod that was initially regarded as a plant pathogen. However, B gladioli has been reported as the primary pathogen causing pneumonia in organ transplant recipients and in patients with cystic fibrosis. We report a case of bacterial pneumonia caused by B gladioli in a patient hospitalized for coronavirus disease 2019 (COVID-19). Case Report: A 68-year-old male was admitted for acute hypoxic respiratory failure secondary to COVID-19 pneumonia. He was treated with dexamethasone and convalescent plasma, resulting in improvement in the hypoxemia. However, during the latter part of his inpatient stay, the patient developed pneumonia caused by B gladioli. The isolate of B gladioli was sensitive to meropenem, levofloxacin, and trimethoprim/sulfamethoxazole and intermediate to ceftazidime. He was treated with meropenem and levofloxacin. Despite treatment, the patient developed acute respiratory distress syndrome with multiorgan failure, suffered cardiac arrest, and died. Conclusion:To the best of our knowledge, this case is the first report of B gladioli coinfection in a patient hospitalized for COVID-19 and provides insight into the possible detrimental outcome of B gladioli and COVID-19 coinfection.

This method can be applied in a large number of surgical applications as a guidance system on its own or in conjunction with other navigation techniques. Our work encourages further testing with realistic surgical applications in the near future.

This paper presents a method for localizing the position of a liver and a tumor within the tissue during a minimally invasive liver operation. From pre-operative CT scans, the liver volume and its internal structures are segmented using image-processing techniques. Based on these segmentations, a three-dimensional mechanical model is built to compute the liver volume and internal structure displacement under boundary conditions such as external forces from the surgical instrument. This can help the surgeon understand the motion of internal structures when manipulating the liver. To validate our method, an experiment on a porcine liver explant was performed to assess the difference between actual tissue motion and the mechanical model.