Psychedelic 25H-NBOMe attenuates post-sepsis depression in rats.

Sepsis-associated encephalopathy, which manifests in severe cognitive and depressive symptoms, is directly linked to neuroinflammation. Our study investigates the efficacy of 25H-NBOMe, a phenethylamine, in alleviating these symptoms, potentially offering an innovative treatment for post-sepsis depression. Wistar rats, weighing between 250-300 g, were subjected to cecal ligation and puncture (CLP) surgery to induce sepsis. Depressive-like behaviors were assessed using the forced swim test (FST) on either day 7 or 14 post-surgery, to establish the presence of depressive symptoms. The impact of 25H-NBOMe treatment was then evaluated, focusing on the head-twitch response (HTR), performance in the FST, and GFAP expression in the prefrontal cortex. Treatment with 25H-NBOMe resulted in significant behavioral changes, demonstrated by decreased immobility and increased swimming times in the FST, along with a rise in the HTR. These outcomes indicate a reduction in depressive-like symptoms post-sepsis and the psychoactive effects of the compound. Furthermore, a notable decrease in GFAP expression in the study highlights the compound's impact on mitigating sepsis-induced astrogliosis. This study demonstrates the effectiveness of 25H-NBOMe, a psychedelic in the phenethylamine class, in treating post-sepsis depression and reducing astrogliosis. However, the psychedelic nature of 25H-NBOMe calls for further investigation into similar compounds with less psychoactive impact, crucial for advancing treatment options for neuropsychiatric symptoms following sepsis.

Future of Artificial Intelligence in Surgery: A Narrative Review.

Artificial intelligence (AI) is the capability of a machine to execute cognitive processes that are typically considered to be functions of the human brain. It is the study of algorithms that enable machines to reason and perform mental tasks, including problem-solving, object and word recognition, and decision-making. Once considered science fiction, AI today is a fact and an increasingly prevalent subject in both academic and popular literature. It is expected to reshape medicine, benefiting both healthcare professionals and patients. Machine learning (ML) is a subset of AI that allows machines to learn and make predictions by recognizing patterns, thus empowering the medical team to deliver better care to patients through accurate diagnosis and treatment. ML is expanding its footprint in a variety of surgical specialties, including general surgery, ophthalmology, cardiothoracic surgery, and vascular surgery, to name a few. In recent years, we have seen AI make its way into the operating theatres. Though it has not yet been able to replace the surgeon, it has the potential to become a highly valuable surgical tool. Rest assured that the day is not far off when AI shall play a significant intraoperative role, a projection that is currently marred by safety concerns. This review aims to explore the present application of AI in various surgical disciplines and how it benefits both patients and physicians, as well as the current obstacles and limitations facing its seemingly unstoppable rise.

Early Versus Delayed Thoracic Endovascular Aortic Repair for Blunt Traumatic Aortic Injury: A Systematic Review and Meta-Analysis.

Blunt aortic injury is the second most prevalent cause of patient fatalities post-trauma, closely following head injuries as the leading cause. In recent years, thoracic endovascular aortic repair (TEVAR) has evidently improved survival rates and reduced complications in patients suffering from blunt traumatic aortic injury (BTAI) in comparison to open surgery and non-operative management. It is difficult to characterize the appropriate criteria for the timing of TEVAR, whether early or delayed for BTAI, considering the discrepancies related to timing. Electronic databases, including PubMed, Scopus, the Cochrane Central Register of Controlled Trials (CENTRAL), and Embase, were searched through April 2023. The primary outcomes were short-term mortality and hospital and intensive care unit (ICU) stays. Time to TEVAR, acute respiratory distress syndrome, sepsis, deep vein thrombosis, delayed stroke, and renal failure were also evaluated. We included a total of seven studies, comprising 4177 patients who met the inclusion criteria. Short-term mortality was significantly higher in the early TEVAR group (RR: 1.86; 95% confidence interval (CI); (1.26-2.74); p<0.001; I2=33%). In contrast, the ICU length of stay was significantly shorter in the early group (mean difference: -2.82 days; 95% CI; (-4.09 - -1.56); p<0.0001; I2=55%). There was no significant difference between both groups in the presenting profile or postoperative complications. Patients undergoing delayed TEVAR had markedly lower mortality rates but a longer ICU stay. The need for future studies with more robust designs is imperative to investigate the factors influencing the timing of repair and the associated outcomes.