Indoor concentrations of particulate matter 2.5 in a pediatric emergency service

Objective: To evaluate air quality in the waiting room of a pediatric emergency service considering the serial concentrations of particulate matter (PM2.5), and to determine if the number of people present in the room can have an influence on the pollutant concentrations. Methods: Cross-sectional study, carried out in the waiting room of a reference pediatric hospital in the city of Porto Alegre, conducted in a one-year period, in a continuous-time sample including all of the four seasons of the year. The monitoring of PM2.5 was performed using a real-time aerosol monitor (DustTrak II). The number of people in the room was determined every hour and the climatic characteristics per daily mean. The concentration of PM2.5 and the number of people were expressed by mean and standard deviation. The means were compared by Analysis of Variance and Pearson's correlation coefficient. Results: There was a significant increase in the concentration of PM2.5 in the autumn, when compared to other seasons (p<0.001). The pollutant increase, in this season, was accompanied by the higher number of people in the emergency room (p=0.026). The association between PM2.5 and the number of people is confirmed by the positive correlation between these two variables (r=0.738; p<0.001). Conclusions: The pediatric emergency waiting room showed elevated PM2.5 in all seasons. The number of people in the room had a positive correlation with the concentration of the pollutant in the environment.

Conservative Management of the Duodenal Injury during Percutaneous Nephrostomy Placement: A Few and Far between Complications of the Urological Literature

Herein, we reported a duodenal perforation case as an intestinal injury during a percutaneous nephrostomy procedure. A 73-year-old woman with bilateral nephrostomy catheters was applied to the emergency service with right flank pain. Early in the day, her bilateral nephrostomy catheters had been changed. On physical examination, she had a defense and rebound at her right quadrant, and costovertebral angle tenderness was also positive. In the contrast-enhanced abdominal computed tomography scan, the right nephrostomy catheter was located in the second part of the duodenum, and the contrast agent did not leak into the peritoneum from the injury area. We decided on conservative management of the case with active surveillance using daily blood tests and physical examinations. The nephrostomy catheter in the duodenum was left to prevent fistula between the duodenum and the skin, and a new one was placed in the right kidney. The broad spectrum antibiotherapy regime was applied, and the patient was followed up closely. The catheter in the duodenum was removed on the 20th day, uneventfully, and the patient was discharged successfully on the 24th day with her permanent bilateral nephrostomy tubes. On the first follow-up, one month later, the patient had no active medical complaint.

Research on the Construction of Intelligent Community Emergency Service Platform Based on Convolutional Neural Network

Aiming at the shortcomings of the existing community emergency service platform, such as single function, poor scalability, and strong subjectivity, an intelligent community emergency service platform based on convolutional neural network was constructed. Firstly, the requirements analysis of the emergency service platform was carried out, and the functional demand of the emergency service platform was analyzed from the aspects of community environment, safety, infrastructure, health management, emergency response, and so on. Secondly, through logistics network, big data, cloud computing, artificial intelligence, and all kinds of applications, the intelligent community emergency service platform was designed. Finally, a semantic matching emergency question answering system based on convolutional neural network was developed to provide key technical support for the emergency preparation stage of intelligent community. The results show that the intelligent community emergency service platform plays an important role in preventing community emergency events and taking active and effective measures to ensure the health and safety of community residents.