OBJECTIVE: We aimed to determine the prevalence of eosinophilic esophagitis (EoE) and define its clinical and endoscopic characteristics in Chinese patients.
METHODS: Esophageal specimens obtained from January 2006 to December 2010 in the First Affiliated Hospital of Sun Yat‐sen University were reviewed, and the data on clinical characteristics and endoscopic findings of patients were obtained. Patients with eosinophils ≥15 per high power field (HPF) were identified as having EoE.
RESULTS: A total of 12 patients met the criteria for EoE, establishing a prevalence of 0.34%. These patients presented with dysphagia (4/12, 33.3%), gastroesophageal reflux disease (GERD)‐like symptoms (3/12, 25.0%), abdominal pain (3/12, 25.0%) and others (2/12, 16.7%). The most common endoscopic finding was plaques (5/12, 41.7%), and other findings were irregular Z‐line (2/12, 16.7%), erosive esophagitis (2/12, 16.7%), white exudates (1/12, 8.3%), linear furrows (1/12, 8.3%), Schatzki ring (1/12, 8.3%), ulcers (1/12, 8.3%) and erythema (1/12, 8.3%).
CONCLUSIONS: The prevalence of EoE was 0.34% in our patients. Clinicians should pay attention to patients manifested with dysphagia and GERD‐like symptomes with endosopic findings of white exudates, plaques, Schatzki ring and linear furrows.
Commercial areas, especially urban ones with numerous buildings, are becoming increasingly prone to congestion because of their popularity. Visual inspections show that interactions between pedestrians and building entrances affect the distribution of pedestrian trajectories, which influences the utility of pedestrian spaces and the design of urban shopping areas. Herein, we analyse the dynamics of pedestrian deviations around building entrances. We used a video recorded using an unmanned aerial vehicle to determine pedestrian trajectories in a Chinese commercial walking space. First, the candidate variables affecting deviation behaviours were determined via correlation testing. Second, two regression models were developed by considering the deviation behaviours of pedestrians walking past a building entrance. The models suggest that the starting position of a pedestrian’s deviation, the total pedestrian flow at the building entrance, the density in an area in the vicinity of the entrance, and the number of interacting pedestrians impact the total distance traversed during path deviation.
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