Objective The study aims to optimize the conditions for constructing orthotopic nude mouse models of liver cancer by injecting human liver tumor cell lines and to explore appropriate timings for drug administration. Methods Human hepatocellular carcinoma Hep3B and hepatoblastoma HepG2 cell lines, which stably expressing the luciferase reporter gene (LUC), were selected. The linear correlation between the luciferase luminescence intensity and the number of liver tumor cells was analyzed using a Small Animal In Vivo Imaging system to verify the luminescent efficiency of the human liver tumor cells. Different concentrations (8×10⁶, 2.4×10⁷, 7.2×10⁷ cells/mL) and resuspension media (PBS, Matrigel) of human liver tumor cell suspensions HepG2-LUC and Hep3B-LUC were orthotopically inoculated into the liver lobes of 5-week-old female BALB/c nude mice (12 groups, 7 mice each) to construct human liver tumor nude mouse orthotopic cancer models. Every 7 days, the weights of mice were recorded, and the growth of orthotopic tumors was monitored using the Small Animal In Vivo Imaging system. On day 35 post-cell inoculation, mouse livers were dissected, and pathological slices were prepared for HE staining to observe histopathological changes in liver tissues. Results The luminescence intensity of human liver tumor cell lines was positively correlated with the number of cells (R²=0.983 1, R²=0.970 5), indicating their suitability for orthotopic model construction. Successful modeling was achieved in the high-concentration groups of HepG2-LUC, the low-, medium-, and high-concentration groups of HepG2-LUC+Matrigel, the medium- and high-concentration groups of Hep3B-LUC, and the low-, medium-, and high-concentration groups of Hep3B-LUC+Matrigel. For both HepG2-LUC+Matrigel and Hep3B-LUC+Matrigel groups, mice in the high-concentration groups exhibited significantly reduced body weight compared to the low- and medium-concentration groups (both with P<0.05). The luminescence intensity of successfully modeled mice increased exponentially over time (R²>0.950 0), and reached a minimum of 1.0×10⁷ p/(s·cm²·sr) by day 14 post-transplantation. Mice in the low- and medium-concentration groups of HepG2-LUC and the low-concentration group of Hep3B-LUC showed no significant pathological changes, while the other groups exhibited evident liver tumors and hepatocyte lesions. Conclusion For the HepG2-LUC cell line, the recommended injection volume is 50 µL with a cell density of 2.4×10⁷ cells/mL, resuspended with Matrigel, followed by drug administration or prognostic measures on day 7 post-modeling. For the Hep3B-LUC cell line, the recommended injection volume is 50 µL with a cell density of 7.2×10⁷ cells/mL, not resuspended with Matrigel, with administration or prognostic measures on day 14 post-modeling.

Purpose/Significance To solve the problem that regional clinical research data are difficult to integrate efficiently,and to promote"Chinese evidence"and"Chinese protocol"in the global clinical research community.Method/Process Based on the standard-ization theory,the data standardization system is proposed,and the construction and application methods of the regional clinical research data platform are explored with the integration of multi-center clinical research data as the starting point.Result/Conclusion The theo-retical framework of the regional clinical research data platform has been preliminarily established,and the clinical research capabilities of tertiary hospitals in Shanghai have been significantly improved.

Objective:To summarize the clinical features and pathological changes of peripheral tissues from patients with neuronal intranuclear inclusion disease (NIID) diagnosed by genetic tests.Methods:Repeat-primed polymerase chain reaction was used to confirm the GGC repeated expansion in the 5′ untranslated region of the NOTCH2NLC gene in patients with suspected NIID who had visited the Department of Neurology of Peking University First Hospital from January 2018 to February 2020. The clinical data and pathological changes of peripheral tissues from patients with genetically diagnosed NIID were collected retrospectively and analysed. Immunostaining with anti-p62 and anti-ubiquitin antibody was performed on peripheral biopsy specimens.Results:Totally nine patients with NIID who had GGC repeated expansion in the NOTCH2NLC gene were found. Five patients were familial (from three faimilies), and four patients were sporadic. The age of onset was 36-61(51.33±7.12) years. The most common symptoms in this NIID group were episodic emotion and personality change (8/9), paroxysmal disturbance of consciousness (6/9) and intermitant head discomfort (6/9). Other symptoms included cognitive dysfunction, limb weakness, limb sensory disturbance, bladder dysfunction, ataxia, seizures and psychiatric symptoms. Brain magnetic resonance imaging showed high signals along the corticomedullary junction on diffusion-weighted image in eight out of nine patients. Skin biopsied samples from nine patients demonstrated the presence of eosinophilic intranuclear inclusions (IIs), appearing in the nucleus of fibroblasts, fat cells and ductal epithelial cells of sweat glands on hematoxylin-eosin staining. IIs were positive on anti-p62 and anti-ubiquitin immunostaining. Electron microscopy indicated the IIs were composed of a pile of filament materials without membrane. Muscle biopsies from two patients showed no obvious neurogenic or myogenic pathologic changes, except in one patient several rimmed vacuoles fibers were found. In one patient sural nerve biopsy showed severe demyelinating pathological changes. No IIs were found in the muscles and peripheral nerve tissue either by histological examination or by immunohistochemical staining with anti-p62 or anti-ubiquitin, while IIs were found by immunofluorescence staining with both anti-p62 and anti-ubiquitin in three patient′s tissue. Conclusions:The phenotype of this NIID patient group is adult-onset NIID, with episodic encephalopathy as the main clinical manifestation. Skin biopsy has high pathological diagnostic value for NIID. The immunofluorescence staining with anti-p62 and anti-ubiquitin is easier to detect the presence of IIs than histological staining and immumohistochemical staining.

Objective: To monitor and analyze the epidemiological characteristics of influenza in schools and understand the disease burden of students, and to provide a scientific reference for instructing the prevention of influenza in schools. Methods: A school influenza surveillance sentinel to conduct influenza like case (ILI) surveillance and outbreak surveillance. Through network, we understood the burden of flu disease among students. Descriptive epidemiology was used to analyze influenza like case surveillance and questionnaire survey data. Results: Surveillance confirmed that from the 42th week of 2019 to the 1st week of 2020, the cumulative reported ILI of 3 school influenza surveillance sites in Jinan accounted for 7.91% (ILI%) of the total number of surveillance personnel during the same period, with the highest ILI% (24.19%) of kindergarten children, ILI% gradually decreased with the increase of grade, and teachers were the lowest. The reporting of ILI was concentrated in the 49th to 52nd week of 2019, during which the reported influenza like cases accounted for 84.81% of the total number of ILI reported during the surveillance period. Two influenza outbreaks were monitored. The pathogens were H3N2 and B (Victoria). The epidemics mainly occurred in the lower grades of elementary school. A survey of 2 297 students found that 577 people had fever and respiratory symptoms since October 2019. Among them, 85.26% of them went to the hospital, 32.75% of those who used anti influenza drugs such as oseltamivir, and 64.81% of those who used antibiotics. 42.63% received infusion therapy, 3.99% were hospitalized, and the average cost of inpatients was 6 686 yuan. The sick students were absent from school for an average of 3.77 days, and the parents of the sick children missed work for an average of 4.26 days. Conclusion Surveillance of influenza like cases in schools is an important way to proactively discover influenza epidemic trends and outbreaks, and to accurately grasp the characteristics of influenza epidemics in schools. The key populations affected by influenza are kindergarten children and lower grades of primary school students. Suffering from influenza has caused a heavy disease burden on students and children in kindergartens, and is also an important factor that causes student absenteeism and parents to miss work.

Objective To analyze the epidemiological characteristics and spatiotemporal clustering of scarlet fever in Jinan, from 2014-2019, and to provide a basis for scarlet fever prevention and control. Methods The case data of scarlet fever in Jinan during 2013-2019 were extracted from the Chinese National Notifiable Infectious Disease Reporting System. Descriptive epidemiology and spatiotemporal rearrangement scanning methods were used to analyze the epidemiological characteristics and spatiotemporal distribution of scarlet fever. The RR values of scarlet fever in different towns (streets) were calculated, and the contour map of RR value was drawn. Results A total of 9 715 cases of scarlet fever were reported in Jinan from 2014 to 2019. During this period, the number of cases and the incidence rate showed a gradual increase, with two seasonal peaks in the winter and spring each year. Spatiotemporal clustering analysis detected a total of eight spatiotemporal aggregation areas, and the strongest one was in Licheng and Lixia Districts, from March 2017 to December 2019 (RR=3.45, LLR=577.88, P<0.001). The relative risk maps in each year from 2014 to 2019 were similar, and the areas with the highest risk were located in the central area of Jinan. Conclusion From 2014 to 2019, scarlet fever is highly prevalent in the central area of Jinan, with obvious spatial and temporal clustering. There are clustering areas in the central, southwest and eastern areas of Jinan, and there was a tendency for the disease to spread to Zhangqiu in the east and Pingyin in the southwest.

OBJECTIVE: To analyze the reproductive health status of female employees in an automobile manufacturing industry and its influencing factors. METHODS: By a method of convenient sampling, 989 female employees of an automobile manufacturer were selected as the study subjects. The Female Employees′ Reproductive Health Status Questionnaire was used to investigate and analyze the influencing factors. RESULTS: The prevalence of abnormal menstruation was 23.7%(234/989). The abnormal menstruation was mainly the menstrual cycle disorder, with the prevalence of 15.4%(152/989). The prevalence of reproductive tract infection was 39.1%(387/989), and the top 2 types of infection were cervicitis(12.7%) and vaginitis(12.1%). The results of multivariate logistic regression analysis showed that the risk of abnormal menstruation in night shift workers was higher than that in day shift workers(P<0.05). The risk of abnormal menstruation increased in female workers with the increase of work intensity(P<0.05). Female workers with a history of abortion had higher risk of abnormal menstruation and reproductive tract infection than those without a history of abortion(all P<0.05). Female workers with abnormal menstruation had a higher risk of reproductive tract infection than those with normal menstruation(P<0.01). Married employees had a higher risk of reproductive tract infection than unmarried ones(P<0.01). CONCLUSION: The reproductive health of female workers in the automobile manufacturing industry is related to their marital status, work shift, work intensity and history of abortion.

Objective:To construct the intelligent medical cloud management platform of diabetes education clinic in ClassⅢ general hospital and observe the clinical effects.Methods:A total of 260 young and middle-aged patients with type 2 diabetes mellitus (T2DM) who were admitted to Department of Endocrinology in the First Affiliated Hospital of Henan University from June to December 2019 were selected by convenience sampling method. They were divided into the control group and the experimental group by the random number table method, with 130 cases in each group. Patients in the control group were given routine diabetes outpatient follow-up, while the experimental group was given group education, case management, behavioral intervention, condition supervision and online follow-up intervention based on the intelligent medical cloud management platform of the diabetes education clinic. The blood glucose control status and the self-management ability of the two groups before and after 3 months of intervention were compared.Results:After intervention for 3 months, fasting plasma glucose (FPG) , 2h plasma glucose of 75g oral glucose tolerance test (OGTT 2h PG) and hemoglobin A1c (HbA1c) of patients in two groups were reduced than those before intervention, and FPG, OGTT 2h PG and HbA1c levels in the experimental group were lower than those in the control group. The differences were statistically significant ( P<0.05) . The mean blood glucose (MBG) and mean amplitude of plasma glucose excursions (MAGE) in the experimental group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . After 3 months of intervention, blood glucose was monitored 6 833 times in the control group and 7 279 times in the experimental group. The incidence of hypoglycemia in the experimental group was lower than that in the control group [0.77% (56/7 279) vs. 2.82% (193/6 833) , χ 2=85.885, P<0.05]. After 3 months of intervention, the scores of diet, exercise, blood glucose monitoring, prevention of complications and medical compliance in the two groups were all higher than those before intervention, and the scores of diet, exercise, blood glucose monitoring and medical compliance in the experimental group were higher than those in the control group. The differences were statistically significant ( P<0.01) . Conclusions:The construction and application of intelligent medical cloud management platform of diabetes education clinic can better improve blood glucose control and improve self-management ability of patients.

The research on career resilience originates from the field of psychology and emerged relatively late and the research needs to be carried out in combination with specific fields and research objects.Clinical nurses account for a relatively high proportion of the front-line clinical staff in hospitals, and their working status plays a vital role in the overall operation of the hospital.This paper reviews the concept of career resilience, evaluation tools, influencing factors and intervention methods of career resilience of clinical nurses, in order to help nursing managers to improve the career resilience of Chinese clinical nurses, enhance their ability to cope with occupational adversity and promote the good development of their career.

Objective To evaluate the performance of an artificial intelligence ( AI ) assisted diagnosis system for diabetic retinopathy ( DR) based on deep learning theory. Methods Diagnostic performance of a robot assisted diagnosis system called SongYue for DR was trained by using 25297 retinal images tagged by fundus doctors from multiple hospitals in China. Four types of DR detection model consisting of abnormal DR,referable DR,severe non-proliferative and proliferative DR as well as proliferative DR according to fundus leisions identification were established. The ability of the system to distinguish DR was determined by using receiver operator characteristic (ROC) analysis,sensitivity and specificity of the system. Results SongYue system achieved an area under the ROC curve ( AUC) of 0. 920 for successfully distinguishing normal images from those DR with a sensitivity of 96. 0％at a specificity of 87. 9％. The AUC of SongYue for referable DR was 0. 925,sensitivity was 90. 4％,and specificity was 95. 2％. For severe non-proliferative and proliferative DR,AUC was 0. 845,sensitivity was 72. 7％,and specificity was 96. 2％. For proliferative DR, AUC was 0. 855, sensitivity was 73. 5％, and specificity was 97. 3％. Conclusions SongYue robot assisted diagnosis system has high AUC,sensitivity and specificity for identifying DR, showing good clinical applicable benefits.