Glioblastoma is the most malignant tumor in the range of cerebral astrocytic gliomas. A lot of experimental models are used to evaluate various properties of glioblastoma. Chicken chorioallantoic membrane model is one of them. Objective. To evaluate histology and survival of glioblastoma tumors taken immediately from operating theatre and transplanted on chicken chorioallantoic membrane. Materials and methods. Glioblastoma samples obtained from 10 patients were transplanted onto 200 eggs. Overall, we used 15 tumors; only 5 of them were not glioblastomas as it was revealed later. Results. The transplanted tumors survive up to 6 days. Transplants do not survive longer because during embryo’s development the nourishing membrane dries. Transplanted glioblastomas exhibited the same features as original glioblastomas – necrosis, endothelium proliferation, cellular polymorphism – while transplanted glioblastomas also showed glial fibrillary acidic protein (GFAP), vimentin, Ki67, S100 protein, neurofilament immunoreactivity, and infiltration of macrophages (CD68) and T cells (CD3+, CD8+). Transplanted glioblastomas did not show any immunoreactivity of p53. Invasion of vessels from the chicken into transplanted tumor is not observed. Chicken erythrocytes did not appear within the transplants, and tumor cells invade chicken tissue at the minimum. Conclusion. Our data show that transplanted pieces of glioblastoma survive with all cytological features. The presence of macrophages (marker CD68) and T cells (markers CD3+ and CD8+) can be registered in the transplant. The data revealed that transplanted glioblastoma remains as insulated unit, which survives from nourishment of the chorioallantoic membrane apparently only by diffusion. The features of original tumor-host reaction of the patient remained too.

BackgroundThe conjunctival microcirculation has potential as a window to cerebral perfusion due to related blood supply, close anatomical proximity and easy accessibility for microcirculatory imaging technique, such as sidestream dark field (SDF) imaging. Our study aims to evaluate conjunctival and sublingual microcirculation in brain dead patients and to compare it with healthy volunteers in two diametrically opposed conditions: full stop versus normal arterial blood supply to the brain.MethodsIn a prospective observational study we analyzed conjunctival and sublingual microcirculation using SDF imaging in brain dead patients after reaching systemic hemodynamic targets to optimize perfusion of donor organs, and in healthy volunteers. All brain death diagnoses were confirmed by cerebral angiography. Microcirculatory images were obtained and analyzed using standardized published recommendations. Study registered at ClinicalTrials.gov, number NCT02483273.ResultsEleven brain dead patients and eleven apparently healthy controls were enrolled in the study. Microvascular flow index (MFI) of small vessels was significantly lower in brain dead patients in comparison to healthy controls in ocular conjunctiva (2.7 [2.4–2.9] vs. 3.0 [2.9–3.0], p = 0.01) and in sublingual mucosa (2.8 [2.6–2.9] vs. 3.0 [2.9–3.0], p = 0.02). Total vessel density (TVD) and perfused vessel density (PVD) of small vessels were significantly lower in brain dead patients in comparison to healthy controls in ocular conjunctiva (10.2 [6.6–14.8] vs. 18.0 [18.0–25.4] mm/mm2, p = 0.001 and 5.0 [3.5–7.3] vs. 10.9 [10.9–13.5] 1/mm, p = 0.001), but not in sublingual mucosa.ConclusionIn comparison to healthy controls brain dead patients had a significant reduction in conjunctival microvascular blood flow and density. However, the presence of conjunctival flow in case general cerebral flow is completely absent makes it impossible to use the conjunctival microcirculation as a substitute for brain flow, and further research should focus on the link between the ocular microcirculation, intracranial pressure and alternative ocular circulation.

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Background and objectives: Organ shortage is considered to be a major limitation for increasing transplantation rates. Brain-dead donors (DBDs) are an important source of organs, but up to 50% of potential DBDs might not be identified. An active brain-dead donor search could potentially increase a deceased donor pool. The aim of this study was to evaluate the effectiveness of an active potential DBD identification program and to evaluate one year impact on the potential organ donor pool in Lithuania‘s biggest medical institution. Materials and Methods: An organ donor coordinator service was established and active DBD search strategy was implemented in the hospital of LSMU Kauno Klinikos, and retrospective data analysis was performed between December 2016 and December 2017. Collected data was compared to the available data of the previous year in the same center and to the donation dynamics of the whole country. Results: A total of 6734 patients were treated in all intensive care units (ICU), and 234 (3.5%) of them were identified as possible donors. No increase in potential donor’s number was observed in study year (n = 34) compared to remote year (n = 37). No significant difference in potential donor’s demographic data, cause of death, family refusals and medical contraindication rates. Cerebral angiography (CA) repeated in 20% of potential donors in order to confirm brain death diagnosis. More potential donors for whom CA was repeated had decompressive craniectomy done (66.7% vs. 33.3%, p = 0.018). Decompressive craniectomy statistically significantly increases the rate of repeated CA (OR 12.7; 95% CI, 1.42–113.37; p = 0.023). Active search strategy increased length of hospital stay of potential donors comparing to previous year (3.97 ± 4.73 vs. 2.51 ± 2.63, p = 0.003). An optimal time of the first four days of hospitalization to identify a potential donor was observed during our study (OR 10.42; 95% CI, 4.29–25.34; p = 0.001). Conclusions: We were not able to demonstrate active donor identification strategy superiority over the passive strategy during a short one year period; nevertheless, valuable knowledge was gained in brain death diagnostics, new terminology was implemented, and the stability of actual donor numbers was observed in the experimental donor center in the light of decreasing national results. Long-term strategy is required to achieve sustainable results in organ donation.

Background. Around 10% of patients in developed coun­tries are readmitted to the Intensive care unit during the same hospitalisation each year [1,2]. Readmission is as­sociated with increased length of stay, risk of morbidity and mortality and higher hospital costs [1,3]. Finding out the factors increasing the risk of readmission is es­sential to predict which patients will return to the ICU. Aim. To analyse the incidence and causes of readmissions to the NICU and to assess the impact of readmissions on patients’ outcomes. Methods. A retrospective single-center chart review of 90 patients readmited to the Neurosurgery intensive care unit (NICU) of the Hospital of Lithuanian University of Health Sciences (LUHS) “Kaunas Clinics“ from January 1st to December 31st of 2020, was performed. Demografic and clinical variables such as: admission diagnosis, tim­ing and indications for readmissions, length of NICU stay during readmission, presence of infection, the need for vasopressors and mechanical ventilation (MV) were assessed. Results. 1598 patients were admitted to the NICU in 2020. 90 case histories of readmitted patients were an­alyzed. Patients were divided into survivors and non-survivors groups. 46 (51.50%) of patients were males, the average age was 63.68 (SD 15.89) years. Most fre­quent indications for readmission were respiratory failure (25.56%), reoperation (24.44%), neurological reasons (21.11%, e.g. decreased state of consciousness, status epilepticus). The readmission rate was 5.63%. The mor­tality rate of readmitted patients was 22.50% (the overall mortality in the NICU in 2020 – 10.40%). Presence of nosocomial infection and MV were associated with lon­ger length of stay in the NICU (p < 0.05). Higher mor­tality was related to worse state of consciousness at the time of readmission to the NICU, presence of nosocomial infection, need for vasopressors and/or MV (p < 0.05). Conclusions. The rate of readmission to the NICU was 5.63%. The most common causes for readmission to the NICU were: respiratory failure, reoperation, and neuro­logical indications. The mortality rate of patients that were readmitted to the NICU was higher than overall mortality. Respiratory failure, the need for vasopressors, mechanical ventilation, and hospital-acquired infection were related to worse outcomes.