Objective To explore the valve regurgitation status of left heart after the implantation of left ventricular assist device (LVAD) and its effect on prognosis of patients with LVAD implantation. Methods A total of 35 patients with cardiomyopathy who underwent magnetic levitation LVAD implantation at Zhongshan Hospital, Fudan University from February 2021 to July 2024 were retrospectively selected. Clinical data during hospitalization were collected, including preoperative basic data and postoperative valve regurgitation status. Telephone follow-ups were conducted to monitor patients’ survival status and transthoracic echocardiography was used to assess left valve function. Kaplan-Meier survival curves and log-rank test were employed to compare the survival rate of patients with different levels of valve regurgitation. Results The 35 patients had a mean age of (53.9±11.1) years, with 85.7% male, and 3 patients (8.6%) died during hospitalization. Preoperatively, 17 patients (48.6%) had moderate or greater mitral regurgitation, while all 35 patients had less than moderate aortic regurgitation. One month postoperatively, thirty patients were followed up, among which 24 patients (80%) had less than moderate mitral regurgitation, including 11 cases with alleviated regurgitation compared to pre-surgery; 6 patients (20%) had moderate or greater mitral regurgitation, including 4 cases with stable regurgitation and 2 cases with progression of regurgitation compared to pre-surgery; 2 patients (6.7%) had progression of aortic regurgitation to moderate or greater. The follow-up time was 1.2 (1.0, 2.1) years, with 1-year survival rate of 91.4% and 3-year survival rate of 71.1%. Survival analysis showed that the 3-year survival rate of patients with moderate or greater mitral regurgitation one month postoperatively was significantly lower than that of patients with less than moderate regurgitation (66.7% vs 83.3%, P＝0.046). Conclusions After the implantation of magnetic levitation LVAD, most patients showed improvement in mitral regurgitation, while aortic regurgitation remained unchanged. The degree of mitral regurgitation one month postoperatively is associated with prognosis.

Objective: To investigate the distribution characteristics and related factors of weight loss behavior among middle school students in Shanghai, so as to provide a reference for guiding scientific weight loss among middle school students. Methods: From May to June 2021, a stratified cluster random sampling method was used to select 16 758 junior and high school students in 16 districts of Shanghai. Youth Risk Behavior Surveillance System was administered to assess the basic condition and weight loss behaviors of the students. An unordered multinomial Logistic regression model was employed to analyze the factors associated with weight loss behaviors. Results: A total of 5 881 (35.09%) reported engaging in exercise for weight loss, 6 344 (37.86%) reported dieting for weight loss, and 461 (2.75%) engaged in unhealthy weight loss behaviors. The unordered multinomial Logistic regression analysis indicated that compared with the no weight loss behavior group, students from urban areas( OR =1.35,95% CI =1.10-1.66), those with Internet addiction ( OR =1.71,95% CI =1.23-2.38), those with victims of bullying ( OR =2.09, 95% CI =1.68-2.61), those experiencing insomnia ( OR =2.33,95% CI = 1.74-3.11), those feelings of sadness or despair ( OR =3.10, 95% CI =2.42- 3.97 ), and those who perceived their body weight as slightly heavy ( OR =2.77, 95% CI = 2.17-3.55) or very heavy ( OR =3.41, 95% CI =2.44-4.75) were more likely to engage in unhealthy weight loss behaviors ( P <0.05). Conclusions There are significant differences in weight loss behaviors among middle school students with varying characteristics in Shanghai. Negative emotions such as insomnia and feelings of sadness or despair, Internet addiction, cognitive bias in weight and experiences of bullying are identified as related factors for unhealthy weight loss behaviors. Targeted intervention measures should be implemented to guide students towards scientific approaches to weight management.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

Threatened abortion is a common disease of obstetrics and gynecology and one of the diseases responding specifically to traditional Chinese medicine （TCM）. The China Association of Chinese Medicine organized experts in TCM obstetrics and gynecology， Western medicine obstetrics and gynecology， and pharmacology to deeply discuss the advantages of TCM and integrated Chinese and Western medicine treatment as well as the medication plans for threatened abortion. After discussion， the experts concluded that chromosome， endocrine， and immune abnormalities were the key factors for the occurrence of threatened abortion， and the Qi and blood disorders in thoroughfare and conception vessels were the core pathogenesis. In the treatment of threatened abortion， TCM has advantages in preventing miscarriages， alleviating clinical symptoms and TCM syndromes， relieving anxiety， regulating reproductive endocrine and immune abnormalities， personalized and diversified treatment， enhancing efficiency and reducing toxicity， and preventing the disease before occurrence. The difficulty in diagnosis and treatment of threatened abortion with traditional Chinese and Western medicine lies in identifying the predictors of abortion caused by maternal factors and the treatment of thrombophilia. Recurrent abortion is the breakthrough point of treatment with integrated traditional Chinese and Western medicine. It is urgent to carry out high-quality evidence-based medicine research in the future to improve the modern diagnosis and treatment of threatened abortion with TCM.

Objective:To explore the safety key points of total pancreaticoduodenectomy in the era of vascular resection technology and the important factors affecting rapid postoperative recovery.Methods:The clinical data of 52 patients with pancreatic cancer who underwent total pancreaticoduodenectomy in Beijing Chaoyang Hospital Affiliated to Capital Medical University from November 2014 to September 2022 were retrospectively analyzed, including 34 males and 18 females, aged (62±9). The intraoperative situation, incidence of postoperative complication, postoperative blood glucose control and postoperative survival rate were analyzed.Results:All operations of the 52 patients were successfully completed, including 48 patients underwent total pancreaticoduodenectomy combined with portal vein resection and allograft vascular grafts via artery approach. The portal vein occlusion time was (20±5) min. The incidence of postoperative complications was 28.8% (15/52), including 2 cases of abnormal gastric empty, 2 cases of diarrhea, 2 cases of chylous fistula, 4 cases of abdominal infection, 1 case of gastrointestinal fistula, 3 cases of gastrointestinal bleeding, and 1 case of pulmonary infection. Subcutaneous short-acting insulin injection was used to control blood glucose in the early stage after surgery, short-acting insulin combined with long-acting insulin was used for subcutaneous injection before sleep for diet recovery. All patients did not experience uncontrolled hyperglycemia. The median survival time of 52 patients was 13 months, and the longest follow-up time was 38 months. There were 37 patients died of tumor recurrence, 4 patients died of cardiovascular and cerebrovascular accidents, and 1 patient died of pulmonary infection in the 42 died patients.Conclusions:Total pancreaticoduodenectomy via artery approach can improve the R 0 resection rate in pancreatic cancer patients with vascular invasion, the rate of postoperative complication and mortality has no significant increase. The postoperative blood sugar control is satisfactory and the quality of life is guaranteed.

ObjectiveTo explore the effect of Buzhong Yiqitang on the immune imbalance of helper T cell 17 （Th17）/regulatory T cell （Treg） and Notch1 signaling pathway in mice with autoimmune thyroiditis （AIT）. MethodA total of 60 8-week-old NOD.H-2^h4 mice were randomly divided into the normal group， model group， western medicine group （selenium yeast tablet， 32.5 mg·kg^-1）， and low-dose （4.78 g·kg^-1·d^-1）， middle-dose （9.56 g·kg^-1·d^-1）， and high-dose （19 g·kg^-1·d^-1） Buzhong Yiqitang groups， with 10 mice in each group. The normal group was fed with distilled water， and the other groups were fed with water containing 0.05% sodium iodide for eight weeks. After the animal model of AIT was formed spontaneously， the mice were killed under anesthesia after intragastric administration for eight weeks. Serum anti-thyroglobulin antibodies （TGAb）， thyroid-stimulating hormone （TSH）， free triiodothyronine （FT3）， and free thyroid hormone （FT4） were detected by enzyme-linked immunosorbent assay （ELISA）， and thyroid tissue changes were observed by hematoxylin-eosin （HE） staining. The mRNA and protein expressions of retinoid-related orphan receptor-γt （RORγt）， interleukin （IL）-17， forkhead box P3 （FoxP3）， IL-10， Notch1， and hair division-related enhancer 1 （Hes1） in thyroid tissue were detected by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. ResultCompared with the normal group， the thyroid structure of the model group was severely damaged， and lymphocytes were infiltrated obviously. The levels of serum TGAb， FT3， and FT4 contents were significantly increased， and TSH content was significantly decreased （P<0.01）. The mRNA and protein expression levels of RORγt， IL-17， Notch1， and Hes1 were significantly increased， while those of FoxP3 and IL10 were significantly decreased in the model group （P<0.01）. Compared with the model group， thyroid structural damage and lymphocyte infiltration were improved in the treatment groups， and serum TGAb， FT3， and FT4 contents were significantly decreased. TSH content was increased， and mRNA and protein expression levels of RORγt， IL-17， Notch1， and Hes1 were decreased. mRNA and protein expression levels of FoxP3 and IL-10 were increased to different degrees （P<0.05， P<0.01）， and the middle-dose Buzhong Yiqitang group had the most significant intervention effect. ConclusionBuzhong Yiqitang can alleviate the thyroid structural damage in AIT mice， and its mechanism may be related to improving the abnormal differentiation of Th17/Treg immune cells and inhibiting the activation of the Notch1 signaling pathway.

This study using maltodextrin as raw material, 1%-5% polyvinylpyrrolidone K30 as template agent, 1%-5% ammonium bicarbonate as pore-forming agent, curcumin and ibuprofen as model drugs. Porous maltodextrin was prepared by template and pore-forming agent methods, respectively. The structure and drug delivery behavior of porous maltodextrin prepared by different technologies were comprehensively characterized. The results showed that the porous maltodextrin prepared by pore-forming agent method had larger specific surface area (6.449 4 m²·g^-1) and pore size (32.804 2 nm), which was significantly better than that by template agent method (3.670 2 m²·g^-1, 15.278 5 nm). The adsorption kinetics between porous maltodextrin prepared by pore-forming agent method and curcumin were suitable for quasi-first order adsorption kinetic model, and that between porous maltodextrin and ibuprofen were suitable for quasi-second order adsorption kinetic model. While the adsorption kinetics between porous maltodextrin prepared by template agent method and two model drugs were both suitable for the quasi-first order adsorption kinetic model. In addition, the dissolution behavior analysis showed that the porous maltodextrin prepared by the two technologies can significantly improve the dissolution behavior of insoluble drugs, and the drug release was both carried out by diffusion mechanism, which suitable for the Peppas kinetic release model, but the porous maltodextrin prepared by template agent method had a faster release rate. The change of nozzle diameter had no significant effect on the adsorption process and drug release behavior of porous maltodextrin. In conclusion, the porous maltodextrins prepared by two different technologies were both beneficial to the delivery of insoluble drugs, and the template agent method was the best for delivery of insoluble drugs. This study can provide theoretical basis for the preparation of porous particles, promote the application of porous particles in insoluble drugs, and improve the bioavailability of insoluble drugs.

Objective: To explore the current status and associated factors of bullying behavior among middle school students in Shanghai, so as to provide a reference basis for carrying out bullying intervention work. Methods: From May to June 2021, a stratified cluster sampling method was used to select 19 000 middle school students from 63 schools in 16 districts of Shanghai, and the Shanghai Youth Health Risk Behavior Survey Questionnaire was used to conduct an anonymous questionnaire survey of enrolled students. Chi square test and binary Logistic regression analysis were employed to investigate the associated factors of bullying among middle school students. Results: The prevalence of bullying behaviors in Shanghai was 15.5%, with males and junior high school students exhibiting the higher reporting rate(19.5%,17.2%). And malicious teasing or name calling had the highest reported rate at 9.4%. The results of binary Logistic regression analysis showed that fighting ( OR =5.02), attempting to smoke ( OR =3.22), having a feeling of sadness and hopelessness ( OR =2.50) and getting drunk( OR =1.72) were positively associated with bullying behavior among middle school students. Fighting ( OR =3.83-8.97), attempting to smoke ( OR =2.92-5.52), having a feeling of sadness and hopelessness ( OR =2.40-4.34), and getting drunk ( OR =1.66-2.34) were positively correlated with 6 forms of bullying (malicious teasing or name calling, intentionally damaging someone else s belongings, deliberately excluding someone from activities or isolating someone, threatening or intimidating others, hitting, kicking, or pushing someone, and verbally harassing or attacking someone online) ( P <0.05). Conclusions Bullying behavior of middle school students in Shanghai primarily presents as verbal harassment. In the future, greater attention should be directed towards bullies, and it should recognize potential hazards promptly and implement precise intervention measures.

Objective: To explore the association of tobacco/alcohol-excessive Internet usage and insufficient sleep with depressive symptoms among middle school students, so as to provide a reference for improving mental health of middle school students. Methods: In accordance with the cluster random sampling method, a total of 18 484 middle school students in Shanghai were surveyed from September to November 2022. Tobacco/alcohol-excessive Internet usage and sleep duration with depressive symptoms were assessed using the relevant scale items included in the questionnaire of Surveillance for Common Disease and Health Risk Factors among Students. The χ 2 test was used for inter group comparison, Logistic regression analysis and likelihood ratio test were used to analyze the independent and aggregated associations of tobacco/alcohol-excessive Internet use and insufficient sleep wiht depressive symptoms. Results: Self reported rates of tobacco/alcohol-excessive Internet usage, insufficient sleep and depressive symptoms among adolescents were 14.7%, 73.5% and 16.3%, respectively. Tobacco/alcohol-excessive Internet usage ( OR=2.69, 95%CI =2.44-2.97) and insufficient sleep ( OR=1.76, 95%CI =1.58-1.95) were associated with depressive symptoms ( P <0.05). Compared to middle school students with no tobacco/alcohol-excessive Internet usage and sufficient sleep, those with both tobacco/alcohol-excessive Internet usage and insufficient sleep showed the higher rate of depressive symptoms ( OR=4.71, 95%CI =4.08-5.44, P <0.05). Further stratified analysis results showed that, compared to the boys and the high school students, the separate and joint association of tobacco/alcohol-excessive Internet usage and insufficient sleep with depressive symptoms were more pronounced in the girls and the middle school students [ OR (95% CI ) for tobacco/alcohol-excessive Internet usage were 3.09 (2.68-3.56) and 4.74 (3.86-5.83), respectively; OR (95% CI ) for insufficient sleep were 1.86 (1.60-2.17) and 2.00 (1.58-2.53), respectively; and the OR (95% CI ) for the joint association were 6.05 (5.01-7.31) and 9.15 (6.98-11.99), respectively, P <0.05]. Conclusions Tobacco/alcohol-excessive Internet usage and insufficient sleep are associated with depressive symptoms in middle school students. Prevention and control strategies for adolescent mental health should be developed with consideration of health related behaviors, and also need to be tailored by focusing on gender and grade differences.

Objective:To investigate the influencing factors for splenomegaly secondary to acute pancreatitis (AP) and construction of a nomogram prediction model.Methods:The retrospective case-control study was conducted. The clinicopathological data of 180 patients with AP who were admitted to Xuanwu Hospital of Capital Medical University from December 2017 to December 2021 were collected. There were 124 males and 56 females, aged (49±15) years. Among them, 60 AP patients who developed secondary splenomegaly were taken as the case group, including 48 males and 12 females, aged (47±13)years, and the rest of 120 cases of AP without secondary splenomegaly were taken as the control group, including 76 males and 44 females, aged (50±16)years. Observation indicators: (1) occurrence and clinical characteristics of splenomegaly secondary to AP; (2) influencing factors for splenomegaly secondary to AP; (3) construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was analyzed using the rank sum test. Count data were represented as absolute numbers, and comparison between groups was analyzed using the chi-square test or Fisher exact probability. The univariate analysis was performed using statistical methods appropriate to the data type. The optimal cut-off value was determined by the receiver operating characteristic curves. Multivariate analysis was conducted using the Logistic regression model with forward method. Based on the results of the multivariate analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve was drawn, and the discrimination was evaluated using the area under curve. The consistency of the nomogram prediction model was evaluated using calibration curve, and its clinical benefit was evaluated using decision curve. Results:(1) Occurrence and clinical characteristics of splenomegaly secondary to AP. The first detection time of 60 patients with splenomegaly secondary to AP was 60(30,120)days after the onset of AP. Cases with persistent respiratory dysfunction, multiple organ failure, severity of illness as mild or moderately severe/severe, pancreatic and/or peripancreatic infection, surgery were 19, 17, 4, 56, 37, 32 for 60 patients with splenomegaly secondary to AP, versus 16, 19, 43, 77, 39, 29 for 120 patients without splenomegaly secondary to AP, respectively, showing significant differences in the above indicators between the two groups ( χ2=8.58, 3.91, 17.64, 13.95, 15.19, P<0.05). (2) Influencing factors for splenomegaly secondary to AP. Resuts of multivariate analysis showed that white blood cell count <5.775×10?/L within 24 hours of AP onset, revised computed tomography (CT) severity index >7 in 3-7 days after onset and the presence of local complications were independent risk factors influencing the splenomegaly secondary to AP ( odds ratio=3.85, 2.86, 6.40, 95% confidence interval as 1.68-8.85, 1.18-6.95, 1.56-26.35, P<0.05). (4) Construction and evaluation of a nomogram prediction model for splenomegaly secondary to AP. The nomogram prediction model was constructed based on white blood cell count within 24 hours of AP onset, revised CT severity index in 3-7 days after onset and local complications. The area under the receiver operating characteristic curve of the nomogram prediction model was 0.76 (95% confidence interval as 0.69-0.83, P<0.05), with a sensitivity of 0.87 and a specificity of 0.55. The calibration curve demonstrated consistency between the predicted rate from the nomogram prediction model and the actually observed rate. The decision curve analysis indicated that the nomogram prediction model had favorable clinical practicability. Conclusions:Patients with AP who develop secondary splenomegaly tend to have a higher severity of illness than those develop no secondary splenomegaly. White blood cell count <5.775×10?/L within 24 hours of AP onset, revised CT severity index >7 in 3-7 days after onset and presence of local complications are independent risk factors influencing splenomegaly secondary to AP, and its nomogram prediction model can predict incidence rate of splenomegaly secondary to AP.