Objective:To study the predictive value of the amplitude-integrated electroencephalography (aEEG) within 6 hours and 3 days after birth and magnetic resonance imaging(MRI) on the adverse neurobehavioral development of asphyxiated preterm infants at the correction age of 6 months.Methods:From December 2017 to June 2019, 50 asphyxiated preterm infants who were delivered at the obstetrical department transferred to the division of neonatology in the Third Affiliated Hospital of Anhui Medical University were monitored by aEEG within 6 hours after birth, then once a day for at least 4 h. MRI was administered at 40 weeks of corrected age, neuromotor developmental function of the infants was assessed by the Geisel developmental diagnostic scale at 6 months of corrected age, then the infants were divided into good prognosis group and poor prognosis group according to the assessment results. SPSS 19.0 software was used for statistical analysis.The software of SPSS 19.0 was used to analyze the data.Independent sample t-test and χ 2 test were used to analyze the difference between the two groups.The relationship between aEEG grading and MRI, and their predictive value for adverse neurobehavioral development were analyzed at 6 months of corrected age. Results:The degree of white matter damage( H=24.896) and intracranical hemorrhage( H=29.245) of premature infants with different aEEG clinical grades were different (both P<0.01) on MRI. The sensitivity of aEEG within 6 hours and 3 days after birth on predicting poor prognosis was 96.2% and 97.8%, the specificity was 56.2% and 62.5%, the negative predictive value was 98.2% and 99.0%, the positive predictive value was 37.8% and 52.3%, the correct index was 52.4% and 60.3%, respectively. The aEEG was combined with MRI, the sensitivity (90.0%, 97.0%), specificity (89.0%, 99.0%), negative predictive value (99.2%, 99.5%), positive predictive value (80.6%, 88.5%), and correct index (79%, 96%) were all improved. Conclusion:The combination of aEEG grading and MRI can improve the prognostic value on neurodevelopmental prognosis, and provide a better evaluation basis for clinical follow-up and intervention of asphyxiated premature infants with brain injury.

Objective To observe the effects of electromyographic biofeedback electric stimulation therapy on lower extremities motordysfunction in children with spastic hemiplegic cerebral palsy (CP). Methods According to the consent of the custodians to the new therapy,60 children with spastic hemiplegic CP were divided into treatment group and control group with 30 cases in each group. All children weretreated with motor training, physical therapy and wore the ankle-foot orthosis (AFO). The treatment group was received electromyographicbiofeedback electric stimulation therapy on their lower extremity additionally. Composite Spasticity Scale (CSS) of the hemiplegic lower extremities,the ankle angle of passive dorsiflexion motion, D and E domains of Gross Motor Function Measure (GMFM-88) were performedto comparatively evaluate the effects before and 12 weeks after treatment. Results The outcomes were improved compared with the ones ofpre-treatment (P<0.05), and improved more in the treatment group (P<0.05). Conclusion The electromyographic biofeedback stimulationtherapy in combination with rehabilitation functional training in the treatment for children with spastic hemiplegic CP is more effective onspasticity of the lower extremity, increasing the range of ankle motion, improving gross motor function of lower extremities.

Discipline evaluation is an important measure to promote the virtuous circle of discipline construction, and is an indispensable link in the process of discipline development in public hospitals. After becoming a directly affiliated hospital of a " double first-class" university, in order to improve the comprehensive strength and influence, a hospital built and applied a disciplinary evaluation system in four directions: talent construction, clinical medicine, scientific research ability, and teaching work. According to the evaluation results, the hospital′s disciplines were divided into three categories, namely, advantageous disciplines, cultivating disciplines and potential disciplines, and development strategies were established at different levels, providing policy support and financial support, especially in the field of scientific research and teaching, to accelerate to make up for shortcomings. Through exploration and practice, the talent team, scientific research and teaching level, discipline reputation, and comprehensive strength of the hospital had been significantly improved, providing effective support for the high-quality development of the hospital.

ObjectiveTo analyze the epidemic characteristics of foodborne disease outbreaks in Mengla County， Yunnan Province， so as to provide basis for formulating corresponding prevention and control measures. MethodsThe data of foodborne disease outbreaks in Mengla County， Yunnan Province from 2017 to 2021 in the national "foodborne disease outbreak monitoring system" were collected. The time， population， region， place， pathogenic factors and inducing links of the events were statistically analyzed. ResultsFrom 2017 to 2021， a total of 68 incidents were reported， including 526 cases and 5 deaths. The total incidence rate was 23.40% and the case fatality rate was 0.95%. The peak period was from May to July， with the largest number of reported events in July. The reporting areas were mainly Mengla Town （35.29%）， Guanlei Town （11.76%） and Mengpeng Town （10.29%）. The main place of the incident was family （76.47%）. The main pathogenic factors were plant toxins （79.41%）， mainly through the ingestion of wild mushrooms （68.52%）， improper processing of green beans （12.96%） and aconitum （9.26%）. ConclusionAccording to the epidemiological characteristics of Mengla County， we should focus on the public education of health knowledge in key areas and places， especially on the identification of wild mushrooms， to prevent accidental eating. At the same time， we should strengthen the monitoring and risk assessment of foodborne diseases， find potential risks as soon as possible， issue early warning and forecast in time， and constantly improve the clinical treatment ability of poisoned patients.