PTX3 was found to be significantly higher in patient with acute appendicitis compared to the control group and the patients with non-specific abdominal pain. PTX3 can be used as an aid in the diagnosis of acute appendicitis.

We aimed to evaluate whether there was a relationship between endocan (human endothelial cell-specific molecule-1) levels and disease prognosis in patients who presented to the emergency department with coronavirus disease 2019 (COVID-19). A total of 60 patients with COVID-19 who were hospitalized from the emergency department to clinical wards and a control group consisting of healthy adult individuals (n = 28), were included in the study. The majority (93.3%) of the patients were discharged after recovery; 6.7% died. The median endocan value was 243.5 ng/mL in the patient group versus 201.5 ng/mL in the control group ( P = .002). The median endocan level was 240.5 ng/mL in those discharged with recovery and 558 ng/mL in those who died ( P = .001). There was no significant relationship in hospitalization duration, sex, tomography findings, and clinical outcomes. A 202 ng/mL serum endocan level had 86.7% sensitivity and 50% specificity for COVID-19. Serum endocan levels may be a useful biomarker both for the diagnosis of COVID-19 and to predict mortality.

Objectives:To develop a low-cost biomaterial-covered chest tube simulation model and assess its possible usefulness for developing the chest tube insertion skills among medical interns.Methods:This mannequin-based interventional study was performed in a University hospital setting. We included 63 physicians performing emergency medicine internship at the Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey, between January 2015 and March 2015. A dummy was prepared for training simulation using a display mannequin. Medical interns received instruction concerning pneumothorax and the chest tube procedure. A total of 63 medical interns participating in this interventional study were asked to insert a chest tube in a biomaterial-covered mannequin. A senior trainee scored their performance using a check list and the mean of the total scores was calculated (21 items; total score, 42).Results:The mean procedural score was 40.9 ± 1.3 of a possible 42. The maximum score of 42 was achieved by 39.7% of the medical interns, while another 33.3% achieved a score of 41. Of the participants, 85% succeeded in inserting the tube via an appropriate technique, achieving a score of 40 or more.Conclusion:Our results indicated that this model could be useful for effective training of medical interns for chest tube insertion, which is an important skill in emergency medicine. This biomaterial-covered model is inexpensive and its use can potentially be widened to improve training methods without significant financial demand.

Introduction-Drones can transmit live video and geographic coordinates during the planning stages for search and rescue operations and the operations themselves. There are few simulation studies in which drones provided rescue support. However, the literature does not contain any simulation studies involving the use of drones to locate lost "victims" represented by dummies in rivers. We developed a simulation model to compare the first visual contact times for drone-assisted search techniques (DAST) and classic search techniques (CST).Methods-In this prospective experimental simulation study, we used both DAST and CST to perform a series of river searches for unconscious victims (represented by dummies). We calculated the first visual contact times, total scanned area, scanned area per minute, flight-walking distances, and flight-walking speeds and compared the results between both groups. The data are presented as mean±SD.Results-We performed 20 search and rescue operations, 10 with the CST and 10 with the DAST. The time to reach the victim was 823±177 s using CST and 80±14 s using DAST. The area scanned by unit time was 3091±54 m 2 •min -1 using CST and 22,640±1622 m 2 •min -1 using DAST.Conclusions-The drone-assisted search technique located a simulated victim drifting in a river faster than the classic search technique. The use of drones in search and rescue operations could improve the time to find victims.