ObjectiveTo analyze the research status and development trends of non-pharmacological therapies for post-stroke spasticity (PSS) over the past two decades. MethodsRelevant literatures on non-pharmacological rehabilitation of PSS published from January, 2004 to June, 2024 were retrieved from Web of Science Core Collection. CiteSpace 6.3.R6 and VOSviewer 1.6.18 were used for visualization analysis. ResultsA total of 780 publications were included. The annual number of publications showed an overall upward trend. China, the USA, and Italy contributed the highest number of publications. The Hong Kong Polytechnic University and researcher Noureddin Nakhostin Ansari were identified as the most influential institution and author, respectively. High-frequency keywords and cluster labels included electric stimulation, transcranial magnetic stimulation, robot and acupuncture. ConclusionOver the past 20 years, researches on non-pharmacological therapies for PSS have remained active, with hotspots focusing on diverse interventions such as electrical stimulation, magnetic stimulation and robot-assisted therapy.

Objective: To analyze the epidemiological characteristics of mumps in Shanxi Province from 2014 to 2023, so as to provide scientific evidence for targeted prevention strategies. Methods: Mumps case data in Shanxi Province were obtained from the China Information System for Disease Prevention and Control. Descriptive epidemiological analysis and age-period-cohort (APC) analysis were carried out on the reported incidence of mumps from 2014 to 2023. Results: A total of 44 360 mumps cases were reported in Shanxi Province from 2014 to 2023, with an average annual incidence rate of 11.78/100 000. The incidence rates were high during 2017-2019, which were 21.00/100 000, 16.76/100 000, and 19.51/100 000, respectively. Males had a higher incidence rate (13.50/100 000) than females (9.98/100 000). Children aged 5-9 years were the most affected group, accounting for 47.29% of total cases. In 2017 and 2019, incidence rates among the 5-15-year-old group were particularly high, reaching 155.08/100 000 and 131.78/100 000, respectively. The APC model age effect, period effect and cohort effect of the reported incidence rate in the high-incidence population aged 0-20 years all had statistical significance ( P <0.05). The age-relative risk ( RR ) decreased from 1.75 in the 0-year-old group to 0.33 in the 20-year-old group, and the birth cohort RR decreased from 2.58 in 1994 to 0.26 in 2023. The morbidity risk of the population aged 0-20 years showed a trend of first increasing and then decreasing over time, among which it was the highest in 2017 ( RR =1.23) and the lowest in 2023 ( RR =0.29). Conclusions Shanxi exhibits cyclical mumps epidemics, with school-aged children as the high-risk population. School health management work should be carried out, and the surveillance of mumps in high-risk areas and the routine vaccination of two doses of mumps-containing vaccines for eligible children should be strengthened.

[Objective] To determine the correlation between traditional Chinese medicine (TCM) inspection of spirit classification and the severity grade of depression based on facial features, offering insights for intelligent intergrated TCM and western medicine diagnosis of depression. [Methods] Using the Audio-Visual Emotion Challenge and Workshop (AVEC 2014) public dataset on depression, which conclude 150 interview videos, the samples were classified according to the TCM inspection of spirit classification: Deshen (得神, presence of spirit), Shaoshen (少神, insufficiency of spirit), and Shenluan (神乱, confusion of spirit). Meanwhile, based on Beck Depression Inventory-II (BDI-II) score for the severity grade of depression, the samples were divided into minimal (0 – 13, Q1), mild (14 – 19, Q2), moderate (20 – 28, Q3), and severe (29 – 63, Q4). Sixty-eight landmarks were extracted with a ResNet-50 network, and the feature extracion mode was stadardized. Random forest and support vectior machine (SVM) classifiers were used to predict TCM inspection of spirit classification and the severity grade of depression, respectively. A Chi-square test and Apriori association rule mining were then applied to quantify and explore the relationships. [Results] The analysis revealed a statistically significant and moderately strong association between TCM spirit classification and the severity grade of depression, as confirmed by a Chi-square test (χ2 = 14.04, P = 0.029) with a Cramer’s V effect size of 0.243. Further exploration using association rule mining identified the most compelling rule: “moderate depression (Q3) → Shenluan”. This rule demonstrated a support level of 5%, indicating this specific co-occurrence was present in 5% of the cohort. Crucially, it achieved a high Confidence of 86%, meaning that among patients diagnosed with Q3, 86% exhibited the Shenluan pattern according to TCM assessment. The substantial Lift of 2.37 signifies that the observed likelihood of Shenluan manifesting in Q3 patients is 2.37 times higher than would be expected by chance if these states were independent—compelling evidence of a highly non-random association. Consequently, Shenluan emerges as a distinct and core TCM diagnostic manifestation strongly linked to Q3, forming a clinically significant phenotype within this patient subgroup. [Conclusion] Automated facial analysis can serve as a common lens for TCM and western psychological assessments align in the diagnosis of depression. The inspection of spirit decline trajectory parallels worsening depression, supporting early screening and stratified intervention, and providing a reference for the intelligent assistance of integrated TCM and western medicine in the diagnosis of depression.

Objective: To explore the potential category patterns of risk prevention and control behaviors of HIV infection among young students who have sex with men (MSM) and their impact on HIV infection and late detection, aiming to optimize intervention strategies. Methods: From September 2017 to December 2024, a total of 1 637 MSM young students in Tianjin were recruited through both online and offline channels. Latent class analysis was applied to classify 11 HIV risk prevention and control behaviors [condom use during the most recent anal sex in the past 6 months, consistent condom use, use of water based lubricants, abstinence from recreational drugs, regular on site professional testing, fixed sexual partners, partner testing, awareness of partner s HIV testing results, testing before sexual activity, nucleic acid testing, and use of pre exposure prophylaxis (PrEP) or post exposure prophylaxis (PEP)]. Multivariate Logistic regression analyzed associations between demographic characteristics/intervention services factors and latent classes. Differences in HIV infection and late detection across behavior patterns were compared. Results: HIV risk prevention and control behaviors among MSM students were classified into three latent classes:condom dependent group (38.42%), low prevention group (27.73%), and comprehensive prevention group (33.85%). Students who received condom promotion/testing services were more likely to belong to the comprehensive prevention group ( OR =5.58), while those who received peer education were less likely to the comprehensive prevention group ( OR =0.43) (both P <0.01). Among the MSM student population, the HIV infection rate was 4.83%, with 2.26% of cases detected late. The HIV infection rate (1.45%) and late detection proportion (0.82%) in the comprehensive prevention group were lower than those in the low prevention group (7.89% and 3.83%, respectively) ( χ 2=16.20, 7.31, both P <0.01). Conclusions HIV risk prevention and control behaviors among MSM young students exhibit significant heterogeneity. Comprehensive prevention strategies can effectively reduce HIV infection and late detection risks. It is necessary to optimize peer education content and improve the accessibility of diversified prevention measures such as PrEP/PEP to enhance HIV prevention and control.

In the all-media era,online public opinion events are causing more and more trouble to the healthcare industry,and public hospitals in this situation are facing a severe test in terms of online public opinion management,which is generally problematic.It introduces the hospital network public opinion governance strategies and methods based on hazard vulnerability analysis of Peking University People's Hospital and explores a practical and feasible hos-pital online public opinion management model from the aspects of public opinion risk identification,public opinion management system construction,and improvement of departmental management level,to enhance the level of hospital public opinion governance,with a view to reducing and avoiding negative impacts on the hospital caused by online public opinion events,building a harmonious doctor-patient relationship,and improving the work of medical services.The aim is to reduce and avoid the negative impact of online public opinion events on the hospital,to build a harmonious doctor-patient relationship and improve medical services.

Objective To systematically review the safety and efficacy of irreversible electroporation(IRE)combined with immunotherapy in patients with unresectable pancreatic cancer.Methods This study was conducted according to the PRISMA guideline,with a PROSPERO registration unmber of CRD42024531984.Datebases including PubMed,Embase the Cochrane Library,Web of Science,CNKI,Wanfang Data,and VIP were searched for related articles on IRE combined with immunotherapy for unresectable pancreatic cancer published up to February 2024.The articles were screened and related data were extracted according to the established inclusion and exclusion criteria,and the quality of the articles was assessed.Review Manager 5.3 and Stata 17.0 software were used to perform the meta-analysis.Results Six studies were finally included,with three prospective studies,two retrospective studies,and one randomized controlled trial.There were 376 patients with unresectable pancreatic cancer in total,among whom there were 222 patients in the IRE group and 154 patients in the IRE+immunotherapy group.The meta-analysis showed that compared with IRE alone,IRE combined with immunotherapy significantly prolonged progression-free survival(hazard ratio[HR]=0.82,95%confidence interval[CI]:0.72-0.92,P=0.001)and overall survival(HR=0.86,95%CI:0.80-0.93,P=0.000 1),increased T lymphocyte count in the patients(mean difference=217.93,95%CI:192.87-242.99,P<0.000 01),and improved the immune function of patients.However,there were no significant differences between the two groups in reducing the incidence rate of adverse events(odds ratio[OR]=1.43,95%CI:0.76-2.72,P=0.27)and improving the objective remission rate of patients(OR=1.49,95%CI:0.87-2.56,P=0.15).Conclusion IRE combined with immunotherapy is safe and effective in patients with unresectable pancreatic cancer and can significantly improve overall survival and progression-free survival and enhance immune function,with little effect on objective remission rate and the incidence rate of adverse events.

[摘 要] 目的：探究雷公藤甲素（TPL）通过miR-34b-5p调控Notch1表达对骨肉瘤U2OS细胞铁死亡影响的机制。方法：常规培养U2OS细胞，将其分为对照组、TPL（10 μmol/L）组、TPL（10 μmol/L）+Fer-1（铁死亡抑制剂，20 μmol/L） 组、miR-NC组、miR-34b-5p组、miR-34b-5p+Fer-1（20 μmol/L）组、TPL（10 μmol/L）+anti-miR-34b-5p组、anti-miR-34b-5p+Fer-1（20 μmol/L）组。qPCR法、CCK-8法、铁离子检测试剂、DHE-荧光探针和WB法分别检测各组U2OS细胞中miR-34b-5p的表达、增殖能力、Fe2+水平、ROS水平以及铁死亡相关蛋白（GPX4、SLC7A11及Notch1蛋白）的表达，双萤光素酶报告基因实验验证miR-34b-5p与Notch1的靶向结合关系。结果： TPL可促进U2OS细胞中miR-34b-5p表达，Fer-1和anti-miR-34b-5p则抑制miR-34b-5p的表达（均P<0.05）。TPL明显抑制U2OS细胞的增殖、GPX4、SLC7A11、Notch1蛋白的表达、增加细胞中Fe2+和ROS的含量，Fer-1可逆转TPL对U2OS细胞的作用（均P<0.05）。过表达miR-34b-5p与TPL对U2OS细胞的作用相似（均P<0.05）。miR-34b-5p可靶向结合Notch1（均P<0.05）。miR-34b-5p抑制剂可明显抑制TPL对U2OS细胞的影响，Fer-1可增强miR-34b-5p抑制剂的作用（均P<0.05）。结论：TPL可抑制U2OS细胞的增殖能力并促进其铁死亡，其作用机制可能与miR-34a-5p靶向调节Notch1表达有关。

Objective:To explore the risk factors for malnutrition after a tracheotomy and to construct a predictive model useful for its prevention through early intervention.Methods:Clinical data describing 440 tracheotomy patients were subjected to a retrospective analysis. The variables examined were age, sex, etiology, Glasgow Coma Score (GCS), activities of daily living (ADL) score, age-corrected Charlson comorbidity index (aCCI), food intake, swallowing function, incidence of infections, as well as any history of diabetes mellitus, hypertension, smoking or alcohol consumption. Patients identified as being at risk of malnutrition (NRS-2002≥3) were screened using the Nutritional Risk Screening tool (NRS-2002) and the European Society of Clinical Nutrition and Metabolism′s ESPEN2015 criteria. The subjects were thus categorized into a malnutrition group of 343 and a control group of 97. Unifactorial and multifactorial logistic regression analyses were performed, and stepwise regression was applied to include the factors found significant in the unifactorial analysis into the multifactorial logistic regression analysis, and to construct a column-line graph prediction model. The clinical utility of the model was assessed by applying the receiver operator characteristics (ROC) curves, calibration plots and decision curve analysis (DCA).Results:Of the 440 persons studied, 343 (78%) were malnourished. The multivariate logistic regression analysis showed that pulmonary infection, dysphagia, low GCS score and high aCCI score were significant risk factors for malnutrition after a tracheotomy. A prediction nomograph was constructed. After fitting and correcting, the area under the curve (AUC) of the prediction model′s ROC curve was 0.911, the specificity was 80.4%, and the sensitivity was 91.3%. That was significantly higher than the AUCs for pulmonary infection (0.809), dysphagia (0.697), aCCI (0.721) and GCS (0.802). Bootstrap self-sampling was used to verify the model internally. After 1000 samples the average absolute error between the predicted risk and the actual risk was 0.013, indicating good prediction ability. The DCA results demonstrated that the model has substantial clinical applicability across a range of nutritional interventions, particularly for threshold probability values ranging from 0 to 0.96.Conclusion:Pulmonary infection, dysphagia, low GCS score, and high aCCI score are risk factors for malnutrition among tracheotomy patients. The nomogram model constructed in this study has good predictive value for the occurrence of malnutrition among such patients.

BACKGROUND:Establishing a nomogram prediction model for postoperative pulmonary infection in hip fractures and taking early intervention measures is crucial for improving patients'quality of life and reducing medical costs. OBJECTIVE:To construct a nomogram risk prediction model of postoperative pulmonary infection in elderly patients with hip fracture,and provide theoretical basis for feasible prevention and early intervention. METHODS:Case data of 305 elderly patients with hip fractures who underwent surgical treatment at Wuxi Traditional Chinese Medicine Hospital Affiliated to Nanjing University of Chinese Medicine between January and October 2020(training set)were retrospectively analyzed.Using univariate and multivariate logistic regression analysis and Hosmer-Lemeshow goodness of fit test,receiver operating characteristic curve was utilized to analyze the diagnostic predictive efficacy of independent risk factors and joint models for postoperative pulmonary infections.Tools glmnet,pROC,and rms in R Studio software were applied to construct a nomogram model for predicting the risk of postoperative pulmonary infection in elderly patients with hip fractures,and calibration curves were further drawn to verify the predictive ability of the nomogram model.Receiver operating characteristic curves,calibration curves,and decision curves were analyzed for 133 elderly patients with hip fractures(validation set)receiving surgery at the same hospital from November 2022 to March 2023 to further predict the predictive ability of the nomogram model. RESULTS AND CONCLUSION:(1)The postoperative pulmonary infection rate in elderly patients with hip fractures in this group was 9.18%(28/305).(2)Single factor and multivariate analysis,as well as forest plots,showed that preoperative hospitalization days,leukocyte count,hypersensitive C-reactive protein,and serum sodium levels were independent risk factors(P<0.05).The Hosmer-Lemeshow goodness of fit test showed good fit(χ2=4.57,P=0.803).Receiver operating characteristic curve analysis was conducted on the independent risk factors and their joint models mentioned above,and the differentiation of each independent risk factor and joint model was good,with statistical significance(P<0.05).(3)The graphical calibration method,C-index,and decision curve were used to validate the nomogram prediction model.The predicted calibration curve was located between the standard curve and the acceptable line,and the predicted risk of the nomogram model was consistent with the actual risk.(4)The validation set used receiver operating characteristic curve,graphic calibration method,and decision curve to validate the prediction model.The results showed good consistency with clinical practice,indicating that the model had a good fit.The nomogram risk prediction model constructed for postoperative pulmonary infection in elderly patients with hip fractures has good predictive performance.The use of the nomogram risk prediction model can screen high-risk populations and provide a theoretical basis for early intervention.