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.

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.

AIM To investigate the effects of Zuogui Jiangtang Tongmai Recipe on necroptosis pathway in a rat model of type 2 diabetes mellitus(T2DM)complicated with cerebral infarction(CI).METHODS The SD rats were randomly divided into the sham operation group,the model group,the metformin group(0.045 g/kg),and the low,medium and high dose Zuogui Jiangtang Tongmai Recipe groups(6.5,13,26 g/kg),with 9 rats in each group.In contrast to rats of the sham operation group,rats of the other groups were given 4 weeks feeding of high-sugar and high-fat diet combined with intraperitoneal injection of streptozotocin to establish a T2DM rat model with one week stable blood glucose,followed by gavage of corresponding drugs 3 days before the establishment of the middle cerebral artery occlusion(MCAO)model.After 7 days of administration,the rats had their CI injury assessed by mNSS method and TTC staining;their level of blood glucose detected by blood glucose meter;their levels of glycated serum protein,serum TNF-α and IL-1β detected by ELISA;their cerebral mRNA expressions of FADD,RIPK1,RIPK3 and MLKL detected by RT-qPCR;and their cerebral protein expressions of FADD,p-RIPK1,p-RIPK3 and p-MLKL detected by Western blot.RESULTS Compared with the sham operation group,the model group displayed increased levels of blood glucose value,glycosylated serum protein,neurological function score,cerebral infarction volume,cerebral FADD,RIPK1,RIPK3 and MLKL mRNA expressions,cerebral FADD,p-RIPK1,p-RIPK3 and p-MLKL protein expressions,serum TNF-α and IL-1β levels(P＜0.01);and more disordered and morphologically diverse neurons with smaller nucleus.Compared with the model group,the groups intervened with medium or high dose Zuogui Jiangtang Tongmai Recipe,or metformin shared improvement in terms of the aforementioned indices(P＜0.05,P＜0.01);and more neurons with regular morphology neat arrangement,and reduced cell gap.CONCLUSION Zuogui Jiangtang Tongmai Recipe can improve the neurological dysfunction of the rat model of T2DM complicated with CI,which may associate with the inhibited activation of necroptosis signaling pathway.

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.

Objective To observe the changes of memory function in patients with mild traumatic brain injury(mTBI),and to explore the correlation between functional connection(FC)changes and montreal cognitive assessment(MoCA)scale scores in the mTBI cohort.Methods Thirty-nine patients with acute mTBI and 39 healthy controls were prospectively collected.All subjects underwent rs-fMRI scans,and FC values were calculated in both groups.Results Compared with healthy controls,the FC of the left posterior cingulate cortex,the left cuneus and the right calcarine fissure were enhanced.The FC of the left orbital superior frontal gyrus with the right superior temporal gyrus and the right postcentral gyrus was enhanced,and the FC of the right parahippocampal gyrus with the right medial and lateral cingulate gyrus,right thalamus and right caudate nucleus was weakened.Correlation analysis showed that there was no significant correlation between MoCA scale score and FC based on DMN network nodes.Conclusion The DMN network was damaged in patients with acute mTBI,and the memory function was impaired.In addition,no correlation was found between FC abnormalities and MoCA scale scores in this study

Objective:To construct a prediction model for peripherally inserted central catheter-related upper extremity deep vein thrombosis (PICC-UEDVT) in patients with traumatic brain injury (TBI) and validate its effectiveness.Methods:A case-control study was conducted on the clinical data of 222 TBI patients admitted to Xiangya Hospital of Central South University from January 2019 to December 2021, including 171 males and 51 females, aged 18-86 years [54.5(46.0, 65.0)years]. Glasgow coma scale (GCS) motor score was 4.0(3.0, 5.0)points on the day of catheterization. A total of 82 patients (36.9%) had PICC-UEDVT. The patients were randomly divided with a ratio of 7∶3 into training set ( n=156, including 58 with PICC-UEDVT) and validation set ( n=66, including 24 with PICC-UEDVT) using R programming language. The baseline data of general information, intravenous medication, catheterization, and laboratory indices were compared between the training set and the validation set. Lasso regression analysis was employed to identify those variables, with the diagnosis of PICC-UEDVT as the outcome variable. Variables with non-zero regression coefficients were included in a multifactorial Logistic regression model and independent variables were selected based on the Akaike Information Criterion (AIC) of R programming language. The regression equation was constructed, based on which, the predictive nomogram model was constructed for PICC-UEDVT in TBI patients. Receiver operating characteristic (ROC) curves for the training set and validation set were plotted and the discriminability of the model was assessed. The calibration of the model was evaluated using the Hosmer-Lemeshow (H-L) goodness-of-fit test and calibration curves and the clinical practicality of the model was assessed with decision curve analysis (DCA). Results:The baseline analysis of both the training set and the validation set demonstrated a well-balanced sample distribution. Through Lasso regression analysis, 5 prediction variables were identified: GCS motor score on the day of catheterization, Caprini score on the day of catheterization, use of glucocorticoids, tip position of the catheter, and D-dimer (D-D) level before catheterization. The multivariate Logistic regression analysis revealed that the Caprini score on the day of catheterization ( OR=1.20, 95% CI 1.08, 1.33), use of glucocorticoids ( OR=3.13, 95% CI 0.99, 10.46), and D-D level before catheterization ( OR=1.16, 95% CI 1.07, 1.33) were independent risk factors for PICC-UEDVT in TBI patients. The regression equation was developed as: Logit [ P/(1- P)]=-2.56+0.18×"Caprini score on the day of catheterization"+1.14×"use of glucocorticoids"+0.15×"D-D level before catheterization". In the prediction model which was constructed based on the equation, the AUC values for the training set and validation set were 0.73 (95% CI 0.65, 0.81) and 0.77 (95% CI 0.65, 0.87) respectively. The H-L goodness-of-fit test indicated χ2=3.28, P=0.950 for the training set and χ2=13.05, P=0.160 for the validation set. Calibration curves for both sets demonstrated alignment between the actual and predicted probabilities of PICC-UEDVT in TBI patients. DCA results showed that the net benefit rate of patients was optimal when the threshold probability ranged from 15% to 72% for the training set and from 10% to 81% for the validation set. Conclusion:The prediction model based on the Caprini score on the day of catheterization, use of glucocorticoids, and D-D level before catheterization demonstrates good predictive accuracy, calibration and clinical practicality in predicting PICC-UEDVT in TBI patients.

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.

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.

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.