Objective: To evaluate ten year changes in deciduous teeth health and oral health behavior aged 5 year old children in Hainan province (during the year of 2005-2015), to provide basis for oral health promotion among 5 year old children in Hainan province. Methods: Through the comparison and analysis of the third and the fourth national oral health epidemiology survey,changes of dental caries prevalence rate, dietary habit, oral health behavior, and health seeking behavior were analyzed. Results: The prevalence of dental caries in 2005 was 76.1%, 2015 was 82.3% which had significant difference(χ2=6.23，P<0.05), the percentage of consuming sugary food and sweet drinks every day in 2005 was 13.4% and 6.1%, which increased to 30.0% and 7.4% respectively in 2015. The percentage of drinking milk and yoghurt with sugar was 47.6%, which decreased 36.5% in 2015 (χ2=12.76，P<0.05), the percentage of consuming sugary food and sweet drinks before going to bed in 2005 was17.8%, which decreased to 13.3% in 2015 (χ2=32.27，P<0.05). The percentage of brushing the teeth two or more times a day was 16.9%, which increased to 24.2% in 2015(χ2=20.50，P<0.05). The percentage of using fluoridated toothpaste decreased from 31.7% (2005) to 7.4% (2015) (χ2=229.13，P<0.05). No need to treatment for baby teeth and afraid of pain among children were the main reason for no health-seeking among parents which children of dental health problems,which deffered significantly between 2005 and 2015(χ2=6.05，9.34，P<0.05). Conclusion Children’s oral health behavior improved, while eating habits fluoridated toothpaste usage and health seeking behavior remain poor.Health education on child oral health should be strengthened.

A series of surveillance and management actions was taken to minimize out-of-plan re-operations. These actions include: 1) Building and completing the surveillance and management mechanism against unplanned re-operations; 2) Building a real-time surveillance and reporting mechanism; 3) Enhancing quality control and continuous improvement at the operating departments; 4) Enhancing the supervision on regulations implementation by quality control departments of the hospital; 5) Enhancing quality control for medical records; 6) Building a feedback mechanism for surveillance results; 7) Building a penalty and reward mechanism. Efforts for one year and a half on such surveillance and management proved successful, as the incidence of out-of-plan re-operations fell from 1.7% before these actions to 1.0% afterwards.

Objective:To evaluate the clinical application of urine sediment score (USS) in early diagnosis, etiological differentiation, staging and prognosis of acute kidney injury (AKI), and to investigate the diagnostic efficacy of independent USS and its combination with blood urea nitrogen(Bun) serum creatinine(sCr) and uric acid(UA) in AKI.Methods:From August 23 to September 28, 2023, 9 020 morning urine samples of hospitalized patients in the First Hospital of Jilin University were detected by Sysmex UF5000.A total of 3 226 ssamples with small and round cell (SRC) > 1/μl and/or CAST>1/μl were screened for microscopic examination, and 404 cases with positive renal tubular epithelial cells and/or cast were enrolled in this study. There were 218 males and 186 females, aged 59.5 (49.0, 71.0) years. The 404 cases were divided into the USS AKI group (345 cases) and the USS non-AKI group (59 cases) according to the USS results based on the microscopic findings. According to Kidney Disease: Improving Global Outcomes (KDIGO) criteria, they were divided into KDIGO criteria AKI group (63 cases) and KDIGO criteria non-AKI group (341 cases), and the AKI group was divided into renal AKI group (33 cases) and non-renal AKI group (30 cases). According to the clinical diagnosis recorded in the medical records, they were divided into clinically diagnosed AKI group (29 cases) and clinically diagnosed non-AKI group (375 cases).The χ 2 test or Fisher exact test was used to compare USS in different AKI causes and stages. Logistic regression was used to calculate the odds ratio of renal AKI and stage 3 AKI. The area under the receiver operating characteristic curve was used to evaluate the sensitivity and specificity of USS, sCr, UA and Bun alone and in combination in the diagnosis of AKI, and the best cut-off value, sensitivity and specificity in the diagnosis of AKI were calculated. P < 0.05 was considered statistically significant. Results:The USS was used to identify the etiology of KDIGO standard AKI group,and there were significant differences in USS between renal AKI group and non-renal AKI group (χ 2=11.070, P<0.001). Compared to USS=1, the odds ratio of renal AKI was 8.125 when USS≥2 (95% CI 2.208—29.901). There was a statistically significant difference in the comparison of USS between groups in each stage of the AKI staging study based on USS (χ 2=15.724, P<0.05). Compared to USS=1, the odds ratio of stage 3 AKI was 9.714 when USS≥2 (95% CI 1.145-82.390). The AUC of independent USS in the diagnosis of AKI was 0.687 (95% CI 0.618-0.757, P<0.001), the specificity was 65.7% and the sensitivity was 61.9%. The AUC of USS combined with Bun, sCr, UA in the diagnosis of AKI was 0.794 (95% CI 0.608-0.980, P<0.05), the specificity was 82.4%, and the sensitivity was 88.9%. Conclusions:There wasan increased likelihood of renal AKI or stage 3 AKI while USS≥2,and whose combination with Bun, sCr and UA will improve the diagnostic efficiency of AKI.