The patient was hospitalized for foreign body sensation at pharynx persisted for two months. The patient noticed that the left pharyngeal palate was elevated two months ago and was treated as pharyngitis without success. Because of no eating difficulty, loss of voice or sore throat, the patient did not seek for further treatment. Recently the foreign body sensation at pharynx was worsened and the elevation at left pharyngeal palate enlarged and affected pronunciation and speech. A bulge about 4 cm x 5 cm in size was found around left soft palate and tonsil, relatively hard in texture; The mucosal membrane of the bulge was intact with slight hyperemia. The bulge was not movable and exhibited no tenderness to touch and no bleeding to press. Left tonsil was swelling of degree I degrees, grayish white and unsmooth on the surface. Uvula was deviated slight to the right. The soft palate movement was not satisfactory. No swelling on right tonsil. The CT indicated a soft tissue mass at left parapharyngeal space, about 3.4 cm x 5.4 cm in size. leiomyosarcoma (pharynx).
Humans ; Leiomyosarcoma ; Male ; Middle Aged ; Pharyngeal Neoplasms

Objective:To investigate the effect of early gradual diet on reducing delirium in elderly patients with hip arthroplasty.Methods:From January 2018 to January 2020, 74 cases of hip arthroplasty patients aged over 65 years old who were treated in the Third Affiliated Hospital of Sun Yat-sen University were selected as the observation objects. They were randomly divided into experimental group and control group with 37 cases in each group. The experimental group was given early gradual diet on the basis of routine postoperative care, while the control group was given routine postoperative diet on the basis of routine postoperative care. The incidence of postoperative delirium, Pittsburgh Sleep Quality Index (PSQI), patient satisfaction rate, average hospitalization days and average hospitalization expenses were used to evaluate the effect of early gradual diet on reducing delirium in elderly patients with hip arthroplasty.Results:The incidence of delirium in the experimental group was 2.70% (1/37) and 16.22% (6/37) in the control group, the difference was statistically significant ( χ2 value was 3.945, P<0.05); the hospitalization days of the experimental group were (10.68±5.13) d, (13.62±7.19) d in the control group. The difference of hospitalization days was statistically significant ( t value was 2.877, P<0.01). The incidence of difficulty in falling asleep and the satisfaction rate of the experimental group were 8.11% (3/37) and 94.59% (35/37) respectively, and those in the control group were 29.73% (11/37) and 78.38% (29/37) respectively, and the differences were statistically significant ( χ2 value was 5.638, 4.163, P<0.05). Conclusions:Early gradual diet after operation can reduce the incidence of delirium in elderly patients with hip arthroplasty, shorten the average hospitalization days, reduce the incidence of difficulty in falling asleep, improve patients' satisfaction, and help patients to pass through the perioperative period more safely and comfortably.

Objective:To understand the epidemiological characteristics of COVID-19 monitoring cases in Yinzhou district based on health big data platform to provide evidence for the construction of COVID-19 monitoring system.Methods:Data on Yinzhou COVID-19 daily surveillance were collected. Information on patients’ population classification, epidemiological history, COVID-19 nucleic acid detection rate, positive detection rate and confirmed cases monitoring detection rate were analyzed.Results:Among the 1 595 COVID-19 monitoring cases, 79.94% were community population and 20.06% were key population. The verification rate of monitoring cases was 100.00%. The total percentage of epidemiological history related to Wuhan city or Hubei province was 6.27% in total, and was 2.12% in community population and 22.81% in key population ( P<0.001). The total COVID-19 nucleic acid detection rate was 18.24% (291/1 595), and 53.00% in those with epidemiological history and 15.92% in those without ( P<0.001).The total positive detection rate was 1.72% (5/291) and the confirmed cases monitoring detection rate was 0.31% (5/1 595). The time interval from the first visit to the first nucleic acid detection of the confirmed monitoring cases and other confirmed cases was statistically insignificant ( P>0.05). Conclusions:The monitoring system of COVID-19 based on the health big data platform was working well but the confirmed cases monitoring detection rate need to be improved.

During the prevention and control of the COVID-19 epidemic, identifying and controlling the source of infection has become one of the most important prevention and control measures to curb the epidemic in the absence of vaccines and specific therapeutic drugs. While actively taking traditional and comprehensive "early detection" measures, Yinzhou district implemented inter-departmental data sharing through the joint prevention and control mechanism. Relying on a healthcare big data platform that integrates the data from medical, disease control and non-health sectors, Yinzhou district innovatively explored the big data-driven COVID-19 case finding pattern with online suspected case screening and offline verification and disposal. Such effort has laid a solid foundation and gathered experience to conduct the dynamic and continuous surveillance and early warning for infectious disease outbreaks more effectively and efficiently in the future. This article introduces the exploration of this pattern in Yinzhou district and discusses the role of big data-driven disease surveillance in the prevention and control of infectious diseases.