Objective To investigate the dynamic imaging features of a group of patients with anti-glutamic acid decarboxylase 65 （GAD65） antibody-associated neurological syndromes. Methods A retrospective analysis was performed for related data of the patients who were diagnosed with anti-GAD65 antibody-associated autoimmune neurological syndromes in The Second Hospital of Hebei Medical University from January 2018 to December 2021，including clinical features，treatment outcomes，and cranial magnetic resonance imaging （MRI） features at baseline and during follow-up. Results A total of 15 patients were enrolled，among whom there were 8 female patients and 7 male patients，with an age of onset of 28-72 years. The clinical syndromes included limbic encephalitis in 2 patients，temporal lobe epilepsy in 3 patients，and seizures in 7 patients，accounting for 80%，as well as stiff-person syndrome in 1 patient （6.67%） and cerebellar ataxia in 2 patients （13.3%）. Imaging findings showed that of all 15 patients，14 （93.3%） had brain atrophy at initial diagnosis，and only 1 young patient had no brain atrophy； 10 patients （67%） had abnormal signals in the bilateral or unilateral hippocampus，and 3 patients （20%） had abnormal signals in the cortex/subcortical regions. All 15 patients received first-line immunotherapy，and dynamic MRI follow-up was performed for 8 patients，with a follow-up time of half a year to 4 years. Follow-up results showed that based on clinical and imaging findings，the patients with abnormal signals in the cortex/subcortical regions had good response to immunotherapy，while those with abnormal signals in the bilateral or unilateral hippocampus had poor response to immunotherapy. Progressive brain atrophy was observed in all 8 patients receiving MRI follow-up.Conclusion The common imaging findings of anti-GAD65 antibody-associated autoimmune neurological syndromes include abnormal signals in the bilateral or unilateral hippocampus and abnormal signals in the cortex/subcortical regions，and there are differences in clinical manifestations and response to immunotherapy between these two types. Cranial MRI features have an important value in the diagnosis of anti-GAD65 antibody-associated syndromes. MRI examination may be used as an important method for monitoring disease progression and treatment outcome.

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 evaluate the efficacy of an information-based collaborative special improvement management model in reducing the incidences of falls,hospital-acquired pressure injuries(HAPI)and unplanned extubation among inpatients,hence to offer an effective management strategy.Methods This before-after controlled study included 779,249 inpatients from 1st January,2018 to 31st December,2023.A total 360,484 inpatients were assigned to the pre-implementation group(January 2018-December 2020)and received conventional nursing safety management,while 418,765 inpatients were assigned to the post-implementation group(January 2021-December 2023)and managed with an information-based collaborative special improvement management model.The two groups were compared with total incidence of nursing-related adverse events,rates of falls,HAPI,and unplanned extubation.Results In comparison with the pre-implementation group,the post-implementation group showed significant reductions in rates of total nursing-related adverse event(from 0.0960%to 0.0602%,P<0.01),HAPI(all unavoidable pressure injury)(from 0.0122%to 0.0050%,P<0.01),and unplanned extubation(from 0.0584‰ to 0.0297‰,P<0.01).Falling rate decreased from 0.0267‰ to 0.0263‰,but without significantly different(P>0.05).All four indicators demonstrated an annually downward trends after implementation of the information-based collaborative special improvement management model.Conclusion The information-based collaborative special improvement management model effectively reduces major nursing-related adverse events and enhances the safety of inpatient.

ObjectiveTo analyze the impact of diabetes-related deaths on the probability of premature mortality and life expectancy in Minhang District of Shanghai from 2004 to 2023, and to provide reference data for the optimization of targeted prevention and control strategies. MethodsAll death cases involving diabetes among the registered residents of Minhang District from 2004 to 2023 were collected. The probability of premature mortality and life expectancy was computed using the abridged life table method. The average annual percent change (AAPC) was calculated with Joinpoint 4.9.0.0. The Arriaga decomposition method was employed for statistical analyses of the influence of cause-specific and age-specific mortality related to diabetes on life expectancy. ResultsThe total number of diabetes-related mortality, crude mortality, and standardized mortality for both males and females in Minhang District from 2004 to 2023 exhibited an increasing trend (P<0.001). The primary causes of death among diabetes-related cases were cardiovascular disease (37.68%), diabetes mellitus (31.95%), and malignant tumor (17.80%). From 2004 to 2023, probability of premature mortality to diabetes-related diseases demonstrated a rising trend (P<0.001), contrasting with the declining trend observed in the overall population (P=0.001). Males showed a significant upward trajectory (P<0.001), while females displayed a stable pattern. Among the diseases exerting considerable influence, cardiovascular disease and malignant tumor revealed a marked increase over time (P<0.001), whereas diabetes mellitus maintained a stable trend; both factors negatively impacted the reduction in probability of premature mortality. From 2004 to 2023, diabetes-related mortality reduced life expectancy among residents by an average of 1.22 years (-49.89%), indicating a negative impact; the reduction was 1.41 years in males and 0.90 years in females. The age groups exhibiting greater negative contributions differed by genders, namely males aged 50‒54 years and females aged 70‒74 years. Cardiovascular disease, diabetes mellitus, and malignant tumor contributed significantly to this decline (-0.46 years, -0.42 years, -0.20 years, respectively), with male experiencing higher negative contributions than females. ConclusionIn Minhang District, the rising mortality associated with diabetes-related diseases negatively impact both the reduction of the probability of premature mortality and the increase in life expectancy. This trend is primarily attributed to the rapid escalation of mortality and younger age demographic of male residents, which warrants significant attention. It is recommended that, based on the enhancement of case management, efforts should be directed towards the targeted prevention and control of risk factors and high-risk populations.

Malignant pleural effusion(MPE)is a common complication in patients with advanced malignant tumors,which not only significantly reduces their quality of life but also shortens their survival duration.Despite the widespread use of traditional treatment methods such as thoracentesis and pleurodesis,their efficacy is limited accompanied by high recurrence rates.Therefore,exploring novel therapeutic strategies becomes particularly urgent.In recent years,immunotherapy has attracted extensive attention for its potential in cancer treatment.This article systematically reviews the roles of CD4+T cell subsets,including regulatory T cells(Treg),T helper cell(Th)17,Th9,and Th22 cells,within the immunosuppressive microenvironment of MPE.These cell subsets are involved in the formation of the immunosuppressive state of MPE through various mechanisms and play key roles in the occurrence and development of the disease.In addition,the article discusses in detail the role of immune checkpoint molecules,such as programmed death protein 1(PD-1),PD-1 ligand(PD-L1),and cytotoxic T-lymphocyte-associated protein 4(CTLA-4),in the immune evasion of MPE.The abnormal expressions of these molecules provide opportunity for tumor cells to evade immune system surveillance.At the same time,this article also summarizes the application prospects of novel immunotherapy strategies,such as adoptive cell therapy(ACT)and chimeric antigen receptor T cell(CAR-T)therapy,in the treatment of MPE.These innovative therapies offer possibilities for improving the prognosis of MPE patients through activating and enhancing the anti-tumor immune response.

Objective To evaluate the efficacy of an information-based collaborative special improvement management model in reducing the incidences of falls,hospital-acquired pressure injuries(HAPI)and unplanned extubation among inpatients,hence to offer an effective management strategy.Methods This before-after controlled study included 779,249 inpatients from 1st January,2018 to 31st December,2023.A total 360,484 inpatients were assigned to the pre-implementation group(January 2018-December 2020)and received conventional nursing safety management,while 418,765 inpatients were assigned to the post-implementation group(January 2021-December 2023)and managed with an information-based collaborative special improvement management model.The two groups were compared with total incidence of nursing-related adverse events,rates of falls,HAPI,and unplanned extubation.Results In comparison with the pre-implementation group,the post-implementation group showed significant reductions in rates of total nursing-related adverse event(from 0.0960%to 0.0602%,P<0.01),HAPI(all unavoidable pressure injury)(from 0.0122%to 0.0050%,P<0.01),and unplanned extubation(from 0.0584‰ to 0.0297‰,P<0.01).Falling rate decreased from 0.0267‰ to 0.0263‰,but without significantly different(P>0.05).All four indicators demonstrated an annually downward trends after implementation of the information-based collaborative special improvement management model.Conclusion The information-based collaborative special improvement management model effectively reduces major nursing-related adverse events and enhances the safety of inpatient.

Objective To analyze the effects of early staged lung rehabilitation on lung function,cancer-related fatigue and physical activity of patients with severe lung cancer after lobectomy.Methods A total of 112 patients with severe lung cancer who underwent pulmonary lobectomy in the Affiliated Cancer Hospital of Xinjiang Medical University from June 2019 to May 2020 were selected as study objects.They were divided into control group and observation group in the order of enrollment,with 56 cases in each group.There was no significant difference in baseline information between the two groups(P>0.05).The control group was given routine rehabilitation nursing,and the observation group was additionally given early staged lung rehabilitation on the basis of routine rehabilitation nursing.A follow-up study was conducted for 18 months.Pulmonary function indexes,such as forced expiratory volume in one second(FEV1)and forced expiratory volume in one second/forced vital capacity(FEV1/FVC),the incidence of cancer-related fatigue,daily physical activity time,Self-rating Anxiety Scale(SAS)scores and Self-rating Depression Scale(SDS)scores were compared between the two groups before intervention 1,6 and 18 months after intervention.Results The incidence of cancer-related fatigue in the observation group was significantly lower than that in the control group(44.64%vs.64.29%,P=0.037).Repeated measurement analysis of variance showed that there were significant differences in the FEV1,FEV1/FVC,daily physical activity time,SAS scores,and SDS scores between intra-subject effect and inter-subject effect(P<0.05),suggesting that FEV1,FEV1/FVC,daily physical activity time,SAS scores,and SDS scores had a trend of change over time,and there were differences between groups.At 1,6 and 18 months after intervention,FEV1,FEV1/FVC and daily physical activity time in the observation group were significantly higher than those in the control group,while SAS scores and SDS scores in the observation group were significantly lower than those in the control group(P<0.05).Conclusion Early staged pulmonary rehabilitation on the basis of conventional rehabilitation nursing can improve the long-term pulmonary function and negative emotions,reduce the incidence of cancer-related fatigue,and increase physical activity in patients with severe lung cancer after lobectomy.

Objective: To explore the association between dietary behaviors and sleep duration among middle school students in Shanghai, so as to provide reference for interventions targeting insufficient sleep. Methods: From May to June 2021, a stratified cluster random sampling method was employed to select a sample of 10-17yearold middle school students for monitoring their healthrisk behaviors. A total of 5 538 valid questionnaires were collected. The survey included items such as daily sleep duration, weekly consumption of sugary beverages, freshly squeezed fruit juice, fresh fruits, fresh vegetables, fried foods, milk and yogurt, breakfast habits, and frequency of eating outside. Statistical analysis was conducted using Chisquare test, Wilcoxon ranksum test, and multivariable Logistic regression model. Results: About 73.7% of middle school students reported insufficient sleep in Shanghai. There was a positive correlation between the average daily consumption of fresh fruits and breakfast consumption with sleep duration. In other words, a higher frequency of consuming fresh fruits (OR=1.29) and eating breakfast (OR=1.07) were associated with a higher likelihood of sufficient sleep. Conversely, there was a negative correlation between the frequency of consuming desserts (OR=0.78) and fried foods (OR=0.88) and sleep duration (P<0.05). Conclusions Increasing the consumption of fresh fruits and maintaining regular breakfast habits while reducing the intake of fried foods can contribute to achieving sufficient sleep among middle school students. When implementing interventions to improve sleep among middle school students, promoting healthy and balanced diets can be considered as one of the intervention strategies.

Objective To observe the relationship between functional connectivity(FC)of frontoparietal network(FPN)and cognitive function in patients with cerebral small vessel disease(CSVD)using resting-state functional MRI(rs-fMRI).Methods rs-fMRI of 50 CSVD patients with cognitive impairment(CI group),65 CSVD patients with normal cognition(NC group)and 60 healthy controls(HC group),as well as outcomes of neuropsychological tests were retrospectively analyzed.Brain regions with different FC of FPN were compared among 3 groups and between each 2 groups.Partial correlation analysis was used to evaluate the correlations of FC of brain regions value being statistically different between CI and NC groups and cognitive scores.Results Significant differences of FC in bilateral cingulate gyrus,left middle frontal gyrus,right supramarginal gyrus,right inferior parietal lobule and right medial superior frontal gyrus were found among groups(FWE correction,all P＜0.05).Compared with NC group,FC of left cingulate gyrus decreased,of right inferior frontal gyrus and right medial superior frontal gyrus increased in CI group(FWE correction,all P＜0.05).The decreased FC value of left cingulate gyrus was negatively correlated with clock drawing test score in CSVD patients(r=-0.159,P=0.049).Conclusion CSVD patients with or without CI had extensive abnormal FC of FPN,and the left cingulate gyrus was associated with patient's cognitive function.

Aim The key genes for necroptosis in atherosclerosis were screened by bioinformatics methods and verified with the help of in vitro experiments to provide new strategies for the prevention and treatment of atherosclerosis from the perspective of necroptosis.Methods Genes related to atherosclerotic plaques were downloaded from GEO da-tabase,and genes related to necroptosis were downloaded from GeneCards database and intersected to obtain atherosclerotic necroptosis genes,and the mechanism of action and signalling pathways of the genes were further analysed by GO and KEGG enrichment analysis,and the protein-protein interaction(PPI)network was constructed and screened for key genes.Finally,macrophages were treated with oxidized low density lipoprotein(oa-LDL)at a final concentration of 100 mg/L,and the expression of key genes was detected by RT-PCR and Western blot.Results A total of 81 atherosclerotic nec-roptosis genes were obtained.GO and KEGG enrichment analyses revealed that they were mainly enriched in the positive regulation of endopeptidase activity,IκB kinase(IKK)/nuclear factor-KB(NF-κB)signalling,and autophagy signalling pathway.Five key genes including HSPA8,STAT3,HMOX1,SQSTM1 and FAS were obtained by using five computa-tional methods of Cytoscape software cytoHubba plug-in.Compared with the normal control group,the HMOX1 gene was highly expressed in THP-1 macrophages treated with ox-LDL(P＜0.05),while the expression of the HSPA8,STAT3,SQSTM1 and FAS genes showed no significant changes(P＞0.05);the HMOX1 and SQSTM1 genes were highly expressed in RAW264.7 macrophages treated with ox-LDL(P＜0.05),while HSPA8,STAT3 and FAS genes showed no significant changes(P＞0.05).The expression of HMOX1 protein in THP-1 macrophages was also increased.Conclusion HMOX1 may be the key gene of atherosclerotic necroptosis,and it is expected to become a new target for the prevention and treatment of atherosclerosis.