ObjectiveTo investigate the current status of emergency management for severe mental disorders in Shanghai, and to provide countermeasures and suggestions for the establishment of a sound emergency management system for severe mental disorders and the enhancement of emergency management capability. MethodsA questionnaire survey and qualitative interviews were used to conduct an investigation into the emergency management in 17 district-level mental illness prevention and control institutions in Shanghai, which includes the basic situation of emergency management for severe mental disorders, the construction of emergency response teams and personnel, emergency preparedness drills and training, emergency management plans and rules and regulations, and problems encountered in emergency management. ResultsIn terms of emergency management mechanism and basic situation, resources such as personnel allocation, security funds and green channel were well equipped in each district-level mental illness prevention and control institution in Shanghai. However, the equipment of some hardware facilities was still insufficient to some extent. Therefore, further improvement on the emergency management mechanism for severe mental disorders was needed. With regard to the construction of emergency team and personnel allocation, the majority were those aged between 35‒<45 years old, with a bachelor’s degree, and more than 10 years of working experience. For example, 90.27% staff in district-level mental illness prevention and control institution had a bachelor’s degree or above, which was higher than that among the staff in community-level (73.60%); staff majored in clinical medicine in district-level institution accounted for the proportion at 52.71%, higher than that among the staff in community-level (28.86%); 57.24% staff in district-level institution had an intermediate professional title, higher than that among the staff in community-level (42.28%); and 69.90% staff in district-level institution had more than 10 years of working experience, higher than that among the staff in community-level (43.62%). In the aspect of emergency drills and training, all district-level mental illness prevention and control institutions in Shanghai had a high demand for emergency training, and the weak aspects mainly focused on lack of emergency service protocols, skills of addressing technical challenges, and construction of effectiveness evaluation system. Moreover, the teaching methods were primarily centered on case analysis, simulation drills, interactive discussions, and so forth. Concerning emergency management plans and rules and regulations, all districts in Shanghai had relatively established well-developed systems for emergency response plans, emergency response leadership groups, and emergency response operational task forces for severe mental disorders. About half of the institutions had established other rules and regulations related to emergency management of severe mental disorders in addition to emergency plans. ConclusionShanghai has initially established an emergency management system for severe mental disorders, but it is still fragile in specialized training for emergency management of severe mental disorders, construction of emergency management mechanisms, and the building-up of grassroots emergency teams. Further priorities should include strengthening emergency management training, enhancing the construction of emergency management personnel teams, and gradually establishing a more comprehensive and integrated emergency management mechanism for severe mental disorders.

OBJECTIVE To establish an accurate and timely intelligent auxiliary diagnosis method for facial paralysis in order to enable patients and doctors to diagnose the disease faster and achieve the purpose of early detection,early diagnosis and early treatment.METHODS A method integrating SOLOv2-Vision Transformer was proposed.The collected facial paralysis data was seg-mented by the SOLOv2 model with a replaced backbone network,the interference part in the image was removed,and then inputted in-to the Vision Transformer model for classification training.By adopting the principle of segmentation first and then classification,the classification effect of facial paralysis images was improved.RESULTS The accuracy rate of the experimental method on the MEEI facial paralysis dataset was 0.982,the recall rate was 0.982,and the F1-score was 0.981,which were respectively increased by 2%,4%,and 4%compared with the basic model.CONCLUSION The facial paralysis classification model integrated with SOLOv2-Vi-sion Transformer can achieve higher recognition accuracy than the unsegmented method,and provides a new method for the diagnosis of facial paralysis.

OBJECTIVE To establish an accurate and timely intelligent auxiliary diagnosis method for facial paralysis in order to enable patients and doctors to diagnose the disease faster and achieve the purpose of early detection,early diagnosis and early treatment.METHODS A method integrating SOLOv2-Vision Transformer was proposed.The collected facial paralysis data was seg-mented by the SOLOv2 model with a replaced backbone network,the interference part in the image was removed,and then inputted in-to the Vision Transformer model for classification training.By adopting the principle of segmentation first and then classification,the classification effect of facial paralysis images was improved.RESULTS The accuracy rate of the experimental method on the MEEI facial paralysis dataset was 0.982,the recall rate was 0.982,and the F1-score was 0.981,which were respectively increased by 2%,4%,and 4%compared with the basic model.CONCLUSION The facial paralysis classification model integrated with SOLOv2-Vi-sion Transformer can achieve higher recognition accuracy than the unsegmented method,and provides a new method for the diagnosis of facial paralysis.

ObjectiveTo investigate the status of liver function abnormalities in patients with severe mental disorder (SMD) in Shanghai community, to explore the related factors to abnormal liver function in patients with SMD, and to analyze the effects of the types of mental disorders and medication status on liver function abnormalities. MethodsThe patients with SMD in Jinshan District, Minhang District, Hongkou District and Xuhui District of Shanghai were selected as the research subjects. Questionnaire survey, physical examination and laboratory tests were conducted to obtain their demographic characteristics and liver function indicators such as alanine aminotransferase (ALT) and total bilirubin (TBil). The types of mental disorders and medication status of patients in Jinshan District were also investigated. Abnormalities in liver function were determined by abnormalities in either ALT or TBil. Binary logistic regression analysis was used for multivariate analysis of the status of abnormal liver function, and the effects of mental disorder types and medication status on liver function were analyzed, simultaneously. ResultsA total of 7 251 patients with SMD were finally included into this study, and the rate of liver function abnormality was 22.7%, of which 694 cases (9.6%) had ALT abnormality and 1 084 cases (14.9%) had TBil abnormality. Univariate analysis showed that the rate of liver function abnormalities was higher in males than that in females (χ²=45.026, P<0.001), higher in suburbs than that in urban areas (χ²=25.317, P<0.001), higher in those with higher BMI than in those with lower BMI (χ²=63.748, P<0.001), higher in those with elevated blood pressure (BP) than in those without elevated BP (χ²=24.774, P<0.001), higher in those with elevated blood glucose than in those without elevated blood glucose (χ²=43.345, P<0.001), higher in those with abnormal triglyceride (TG) than in those with normal TG (χ²=15.551,P<0.001), and higher in those with abnormal total cholesterol (TC) than in those with normal TC (χ²=10.962, P=0.001). Multivariate analysis showed that the rate of abnormal liver function was higher in males than that in females (OR=1.53, 95%CI: 1.36‒1.73), higher in suburbs than that in urban areas (OR=1.43, 95%CI: 1.21‒1.70), higher in those with overweight than in those with normal BMI (OR=1.16, 95%CI: 1.01‒1.33), higher in those with obesity than in those with those with normal BMI (OR=1.61, 95%CI: 1.36‒1.91), higher in those with elevated blood glucose than in those without elevated blood glucose (OR=1.39, 95%CI: 1.23‒1.58), and higher in those with abnormal TC than in those with normal TC (OR=1.36, 95%CI: 1.13‒1.65).The difference in the rate of ALT abnormalities among the SMD patients in Jinshan District with different medication status was statistically significant (χ²=21.928, P<0.001). Whereas, the differences in the effects of the types of mental disorders and medication status on the status of liver function abnormalities were not statistically significant(P>0.05). ConclusionThe detection rate of liver function abnormalities in community-based SMD patients in Shanghai is high, and male, suburban, and accompanied by elevated BMI, BP, blood glucose, and TC are risk factors for liver function abnormalities in patients with SMD. Primary healthcare providers should pay more attention to the liver function of patients with SMD and initiate targeted and tailored prevention, detection and treatment measures.

Objective To investigate the expression of cysteine-rich intestinal protein 1(CRIP1),STIP1 ho-mology and U-box protein 1(STUB1)in cancer tissues of patients with hepatocellular carcinoma and their clinical prognostic significance.Methods From February 2018 to February 2020,112 patients with hepatocel-lular carcinoma were selected as the study objects.The expression of CRIP1 and STUB1 in cancer tissues and adjacent tissues of patients with hepatocellular carcinoma was detected by immunohistochemistry.To analyze the relationship between the expression of CRIP1 and STUB1 and their clinicopathological features in hepato-cellular carcinoma patients.Kaplan-Meier survival analysis of the effects of CRIP1 and STUB1 expression on the prognosis of patients with hepatocellular carcinoma.COX regression analysis was performed to analyze the prognostic factors of hepatocellular carcinoma.Results The positive rate of CRIP1 in cancer tissues of pa-tients with hepatocellular carcinoma was 62.50％(70/112),which was significantly higher than that in adja-cent tissues[7.14％(8/112)],the difference was statistically significant(x2=76.652,P＜0.05).The positive rate of STUB1 in cancer tissues of patients with hepatocellular carcinoma was 26.23％(32/112),significantly lower than that in adjacent tissues[82.14％(92/112)],and the difference was statistically significant(x2=73.284,P＜0.05).The expression of CRIP1 was negatively correlated with STUB1 in cancer tissues(r=-0.678,P＜0.001).There were significant differences in the positive rates of CRIP1 and STUB1 in hepato-cellular carcinoma patients with different TNM stages,histological grades and maximum tumor diameter(P＜0.05).The 3-year cumulative survival rate of CRIP1 positive group was significantly lower than that of CRIP1 negative group,with statistical significance(Log-rank x2=29.601,P＜0.001).The 3-year cumulative survival rate of STUB1 negative group was significantly lower than that of STUB1 positive group,with statistical sig-nificance(Log-rank x2=13.590,P＜0.001).TNM stage Ⅱ-Ⅲ,histological grade Ⅲ,maximum tumor diam-eter＞5 cm,CRIP1 positive and STUB1 negative were independent risk factors for prognosis of hepatocellular carcinoma patients.Conclusion CRIP1 expression is up-regulated and STUB1 expression is down-regulated in hepatocellular carcinoma tissues.The prognosis of patients with hepatocellular carcinoma can be evaluated clinically based on the expression of CRIP1 and STUB1 in hepatocellular carcinoma tissues.

Objective: To investigate the characteristics of schizophrenic patients using long-acting antipsychotic medications, so as to provide the basis for applicable population of long-acting antipsychotic medications. Methods: Data of schizophrenic patients using long-acting antipsychotic medications in Shanghai City from June 2020 to June 2022 were collected through Shanghai Mental Health Information Management System, and demographic characteristics, illness and medication use of patients were descriptively analyzed. Results: A total of 2 684 schizophrenic patients using long-acting antipsychotic medications were included in the study, had a mean age of (46.92±12.39) years, with 1 246 males (46.42%) and 1 438 females (53.58%). There were 1 397 unemployed cases, accounting for 52.05%; 1 429 cases with an educational level in junior high school or below, accounting for 53.24%; 1 301 unmarried cases, accounting for 48.47%; 832 cases in poverty, accounting for 31.00%. The caregivers of patients were mainly their parents, with 1 507 cases accounting for 56.15%. The courses of illness were mainly ≤10 years and >10-20 years, with 860 cases each, both accounting for 32.04%; 1 963 cases with incomplete self-awareness, accounting for 73.14%; 1 570 cases hospitalized at least once, accounting for 58.49%. There were 2 486 cases with continuous medication, accounting for 92.62%. The main method of taking medication was given by others, with 1 947 cases accounting for 72.54%. The medication adherence was mainly taking medication on time and in the right amount, with 2 437 cases accounting for 90.80%. Conclusion The main characteristics of schizophrenic patients using long-acting antipsychotic medications are young, unmarried, and unemployed adults, with incomplete self-awareness, continuous medication and medication given by others.

Nearly a quarter of the world's population is infected with Mycobacterium tuberculosis and remains long-term asymptomatic infection. Rv2626c is a latent infection-related protein regulated by DosR of M. tuberculosis. In this study, the Rv2626c protein was prokaryotically expressed and purified, and its immunobiological characteristics were analyzed using RAW264.7 cells and mice as infection models. SDS-PAGE and Western blotting analysis showed that the Rv2626c-His fusion protein was mainly expressed in soluble form and specifically reacted with the rabbit anti-H37RV polyclonal serum. In addition, we found that the Rv2626c protein bound to the surface of RAW264.7 macrophages and up-regulated the production of NO. Moreover, the Rv2626c protein significantly induced the production of pro-inflammatory cytokines IFN-γ, TNF-α, IL-6 and MCP-1, and induced strong Th1-tendency immune response. These results may help to reveal the pathogenic mechanism of M. tuberculosis and facilitate the development of new tuberculosis vaccine.
Animals ; Mice ; Rabbits ; Mycobacterium tuberculosis/genetics* ; Tuberculosis ; Antigens, Bacterial ; Cytokines ; Immunity, Cellular

Objective The purpose of this study was to examine effects of Isopsoralen on the osteoblast proliferation and differentiation and find its possible molecular mechanisms for anti-osteoporosis.Methods OCT-1 cells were cultured with common methods.While growing well,cells were cultured with 3 doses(10 μg·mL-1,30u μg·mL-1 and 60 μg·mL-1)of Isopsoralen for 48 h,or with purified bone morphogenetic protein 2(BMP2)protein(50 ng·mL-1).We first determined the effect of Isopsoralen on cell proliferation by MTT assay.The real time RT-PCR was also used to quantify changes in the mRNA levels of several genes,such as BMP2,Runt-related transcription factor 2(Runx2),and Osterix(Osx).We also used the Western blot analysis to evaluate the expression of Runx2 and Osx proteins.At last we used the BMP2loxp/loxp mice to isolate the primary calvaria osteoblasts,cultured with Isopsoralen of the best dose for 48 h after the in vitro conditional gene knockout technology,and tested the gene expressions of Runx2 and Osx.And the alkaline Phosphatase(ALP)staining was also performed.Result Isopsoralen(10 μg·mL-1)can promote osteoblast proliferation obviously.From the real time RT-PCR analysis,Isopsoralen can enhance the BMP2 mRNA levels,the effect of 10 μg·mL-1 was the best,and 30 μg·mL-1 followed.In addition,we found that Isopsoralen(10 μg·mL-1)can enhance the Runx2 mRNA levels significantly.We also found that lower doses of Isopsoralen can enhance the Osx mRNA levels,the effect of 30 μg·mL-1 was the best,and 10 μg·mL-1 followed.From the Western blot analysis,low doses of Isopsoralen(10 μg·mL-1 and 30 μg·mL-1)can stimulate the expression of Runx2 protein.Besides,three doses of Isopsoralen can stimulate the expression of Osx protein,and the effect of 10 μg·mL-1 and 30 μg·mL-1 are better.Finally,the results of in vitro conditional gene knockout experiment showed that the overexpression of Runx2 and Osx genes in osteoblasts,as well as ALP staining,induced by Isopsoralen are BMP2 dependent.Conclusions In this study,we firstly demonstrate that Isopsoralen can stimulate osteoblast proliferation and differentiation by mediating BMP2/Runx2/Osx signaling pathway.

ObjectiveTo determine the factors associated with aggressive behaviors of patients with schizophrenia by gender in communities in Shanghai， and further develop and validate the prediction model. MethodsA total of 7 955 community patients with schizophrenia were investigated in Xuhui District， Hongkou District and Jiading District of Shanghai. Baseline information was collected from April 2018 and follow-up was conducted every 3 months for 6 months. Multivariate logistic regression was used to calculate the odd ratio （OR） and 95% CI， and determine the factors associated with aggressive behaviors of patients. The risk score for each patient was developed based on the β coefficient， and the best cut-off value was determined by the Youden index. For the models， predictive ability was determined using area under the curve （AUC） of receiver operator characteristic curve （ROC curve）， and internal validation ability was evaluated by the ten-fold cross validation method. ResultsThere were 3 563 males in this study with an average age of （54.83±13.72） years old， and the incidence of aggressive behaviors was 2.55%.There were 4 392 females with an average age of （57.20±14.98） years， and the incidence of aggressive behaviors was 2.64%. For male patients with schizophrenia， single/divorced status （OR=2.04， 95%CI： 1.15‒3.61）， low economic status （OR=2.79， 95%CI： 1.71‒4.54）， irregular medication （OR=4.35， 95%CI：2.23‒8.47）， no medication （OR=1.83， 95%CI：1.03‒3.26）， incomplete/no insight （OR=1.97， 95%CI：0.99‒3.94）， adverse drug reaction （OR=2.61， 95%CI：1.27‒5.37）， psychiatric symptoms involving violence （OR=2.06， 95%CI：1.01‒4.18）， history of aggression （OR=5.29， 95%CI：2.33‒11.98） and recent stress events （OR=8.36， 95%CI：4.13‒16.92） were associated with aggressive behaviors. In contrast， for female patients， age less than 60 years （50‒59 years， OR=2.09， 95%CI： 1.13‒3.87； 40‒49 years， OR=2.74， 95%CI： 1.46‒5.17； 30‒39 years，OR=2.88， 95%CI： 1.48‒5.60； 18‒29 years， OR=5.71， 95%CI： 2.44‒13.37）， educational level of high school and above （senior high school， OR=3.30， 95%CI： 1.46‒7.49； college and university， OR=2.88， 95%CI： 1.21‒6.82）， unemployed status （OR=1.81， 95%CI=1.17‒2.82）， irregular medication （OR=7.87， 95%CI：4.75‒13.05）， no medication （OR=2.11， 95%CI：1.24‒3.62）， adverse drug reaction （OR=2.75， 95%CI：1.50‒5.04）， psychiatric symptoms involving violence （OR=3.08， 95%CI：1.77‒5.37）， social function （OR=3.51， 95%CI：2.07‒5.94） and recent stress events （OR=5.92， 95%CI： 2.82‒12.44） were risk factors. In both male and female， the prediction models for aggressive behaviors of community patients with schizophrenia had strong predictive ability （AUC=0.779， 95%CI： 0.725‒0.834； AUC=0.822， 95%CI： 0.780‒0.863）. ConclusionThis study suggests that diverse risk factors should be considered for community patients with schizophrenia by gender to prevent the aggressive behaviors.

Objective:To retrospectively analyze the early mortality and related risk factors in adult patients with maintenance hemodialysis (MHD).Methods:Adult MHD patients from 2008 to 2018 were enrolled and divided into training data group and validation data group. In training data group, multivariate logistic regression was used to analyze the risk factors of early death within 120 days after hemodialysis and establish a prediction model. The receiver operating characteristic (ROC) curve was applied to evaluate the prediction ability of the model.Results:A total of 4 885 patients were included. The cumulative mortality within 120 days was 20.97/100 person years, and that within 365 days was 12.25/100 person years. A total of 3 603 patients in the training data group were analyzed. The following risk factors were correlated with early mortality (all P<0.05), including age at start of dialysis over 60 years old ( OR=1.792), non-chronic glomerulonephritis ( OR=2.214), cardio-cerebrovascular disease ( OR=2.695), plasma albumin less than 35 g/L ( OR=1.358), platelet count less than 120×10 9/L ( OR=2.194), serum creatinine less than 600 μmol/L ( OR=1.652), blood urea nitrogen over 30 mmol/L ( OR=1.887), blood phosphorus less than 1.13 mmol/L ( OR=1.783), pulse pressure over 55 mmHg(1 mmHg=0.133 kPa) ( OR=1.656), low density lipoprotein less than 1.5 mmol/L ( OR=1.873), and blood calcium over 2.5 mmol/L ( OR=1.876). Risk prediction model was established. The other 1 282 cases in the validation data group were verified. The area under ROC curve was 0.810, with sensitivity 85.7%, and specificity 62.5%. Conclusion:The mortality rate of adult MHD patients within 120 days after dialysis is high. The established prediction model can effectively predict the risk of early death.