BACKGROUND: The COVID-19 pandemic is threatening healthcare systems and hospital operations on a global scale. Treatment algorithms have changed in general surgery clinics, as in other medical disciplines providing emergency services, with greater changes seen especially in pandemic hospitals. OBJECTIVES: To evaluate the follow-up of patients undergoing emergency surgery in our hospital during the COVID-19 pandemic. DESIGN AND SETTING: Cross-sectional study conducted in a tertiary-level public hospital. METHODS: The emergency surgeries carried out between March 11 and April 2, 2020, in the general surgery clinic of a tertiary-care hospital that has also taken on the functions of a pandemic hospital, were retrospectively examined. RESULTS: A total of 25 patients were included, among whom 20 were discharged without event, one remained in the surgical intensive care unit, two are under follow-up by the surgery service and two died. Upon developing postoperative fever and shortness of breath, two patients underwent thoracic computed tomography (CT), although no characteristics indicating COVID-19 were found. The discharged patients had no COVID-19 positivity at follow-up. CONCLUSION:The data that we obtained were not surgical results from patients with COVID-19 infection. They were the results from emergency surgeries on patients who were not infected with COVID-19 but were in a hospital largely dealing with the pandemic. Analysis on the cases in this study showed that both the patients with emergency surgery and the patients with COVID infection were successfully treated, without influencing each other, through appropriate isolation measures, although managed in the same hospital. In addition, these successful results were supported by 14-day follow-up after discharge.

Background: Minimally invasive surgical techniques, including laparoscopic and robotic surgery, have profoundly impacted surgical practice by improving precision, reducing recovery times, and minimizing complications. However, these modalities differ in their cognitive demands and skill acquisition requirements, which can influence the learning curve and operative performance. To assess and evaluate this variability across these modalities, a functional near-infrared spectroscopy (fNIRS) system is used as an objective method for monitoring cognitive activity in surgical trainees. fNIRS can provide insights and further our understanding of the mental demands of different surgical techniques and their association with varying task complexity. Objective: This study seeks to assess the influence of surgical modality (laparoscopy vs. robotic surgery) and task complexity (pick and place (PP) vs. knot tying (KT)) on cognitive workload through fNIRS. We compare real-world and simulation-based training environments to determine changes in brain activation patterns and task performance. Methods: A total of twenty-six surgical trainees (general and gynecologic surgery residents and specialists) participated in this study. Participants completed standardized laparoscopic and robotic surgical tasks at varying levels of complexity while their cognitive workload was measured using fNIRS. This study included both simulation-based training and real-world surgical environments. Hemodynamic responses in the prefrontal cortex (PFC), task completion times, and performance metrics were analyzed. Results: Laparoscopic surgery elicited higher activity changes in the prefrontal cortex, indicating increased cognitive demand compared with robotic surgery, particularly for complex tasks like knot tying. Task complexity significantly influenced mental load, with more intricate procedures eliciting greater neural activation. Real-world training resulted in higher cognitive engagement than simulation, emphasizing the gap between simulated and actual surgical performance. Conclusions: Cognitive workload was lower and significantly different during robotic surgery than during laparoscopy, potentially due to its ergonomic advantages and enhanced motor control. Simulation-based training effectively prepares surgeons, but the cognitive workload results indicate that it may not fully replicate real-world surgical environments. These findings reveal the importance of cognitive workload assessment in surgical education and suggest that incorporating neuroimaging techniques such as fNIRS into training programs could enhance skill acquisition and performance.