Objective: To analyze the epidemiological characteristics of pulmonary tuberculosis (PTB) among college students in Yangzhou from 2020 to 2024, so as to provide a scientific basis for developing prevention and control strategies. Methods: An epidemiological investigation was conducted among 162 college students with PTB, and 7 134 of their contacts were screened. Data were obtained from the tuberculosis information management system and on campus screening records. Using descriptive epidemiological methods, trends in incidence, seasonal distribution, and bacteriological characteristics were analyzed. Results: From 2020 to 2024, the annual average incidence of pulmonary tuberculosis among college students in Yangzhou was 29.42 per 100 000, showing an overall fluctuating downward trend ( χ 2=12.36, P <0.01). Cases were mainly concentrated in summer and autumn, with the highest proportion in autumn (41.36%, 67/162), followed by summer (23.46%, 38/162). The proportion of etiologically positive cases increased from 37.21% in 2020 to 71.43% in 2024; among positive cases, the proportion of latent tuberculosis infection (LTBI) decreased from 66.67% (10/15) to 26.67% (4/15). The etiological positive rate was higher in females than in males ( χ 2= 11.76 , P <0.01). Comparison of screening methods showed that among index cases, the LTBI detection rate of the recombinant Mycobacterium tuberculosis fusion protein skin test (C-TST) was higher than that of the tuberculin skin test (TST), but the difference was not statistically significant ( χ 2=0.65, P =0.42); among close contacts, the detection rate of TST was higher than that of C-TST (15.1%,10.1%; χ 2=5.23, P <0.05). Conclusion From 2020 to 2024, the annual average incidence of pulmonary tuberculosis among college students in Yangzhou showed an overall fluctuating downward trend, with differences in TB infection screening methods and gender.

High myopia(HM)is one of the leading causes of irreversible visual impairment, characterized by pathological changes such as axial elongation and multidimensional abnormalities in fundus biometric parameters. This review systematically summarizes the dynamic characteristics of fundus biometric parameters(including those of the retina, optic disc, macula, and choroid)in HM patients, as visualized via multimodal imaging techniques [e.g., optical coherence tomography(OCT)and optical coherence tomography angiography(OCTA)], and their association with HM progression and related complications. The article further highlights the strategies and advantages of multimodal imaging integration and discusses recent advances and challenges in combining artificial intelligence(AI)with these imaging modalities to automate fundus parameter analysis, lesion detection, risk stratification, and clinical decision-making for HM. This review aims to provide an evidence-based foundation for the early warning, precise intervention, and personalized management of HM, thereby facilitating a clinical paradigm shift from “reactive treatment” to “active health management”.

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Objective To investigate the association between physical activity levels and blood lipids among college freshmen, and to provide scientific evidence for the health management of college freshmen. Methods An electronic questionnaire survey on physical activity was conducted on freshmen of a university, and fasting blood biochemical indicators were detected. The International Physical Activity Questionnaire (IPAQ) short form was used to evaluate the physical activity levels of the participants. Dyslipidemia was defined as an abnormality in any one of the following serum lipid parameters: total cholesterol, triglycerides, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), or non-high-density lipoprotein cholesterol. Binary logistic regression and stratified analyses were employed to explore the relationship between physical activity and blood lipids. Results A total of 3 401 participants were included, with an average age of 18.45 ± 0.92 years, and 60.5% were female. The prevalence of dyslipidemia was 17.7%, with a higher rate among males (22.1%) than females (14.8%). After adjusting for confounding factors related to blood lipids, high-intensity physical activity was negatively associated with the risk of elevated LDL-C among males (OR = 0.36, 95% CI: 0.13–0.99, P = 0.049). Conclusion Among freshmen at a medical college in Hubei Province, high-intensity physical activity is negatively associated with the risk of elevated LDL-C in males, but this association needs to be further confirmed by larger prospective cohort studies.

ObjectiveTo investigate the short-term efficacy and safety of different doses of Botulinum toxin type A (BTX-A) injected under ultrasound guidance combined with modified catheter-balloon localization for post-stroke cricopharyngeal dysfunction (CPD), and to explore a relatively appropriate dose. MethodsA total of 136 patients with post-stroke CPD admitted to Taizhou Hospital of Zhejiang Province from December, 2023 to February, 2026 were randomly assigned into control group, 50 U group, 70 U group and 100 U group, with 34 patients in each group. The control group received conventional rehabilitation, whereas the three BTX-A groups received conventional rehabilitation plus the corresponding dose of BTX-A injected under ultrasound guidance combined with modified catheter-balloon localization. Videofluoroscopic Swallowing Study (VFSS) scores, Functional Oral Intake Scale (FOIS) scores, Yale Pharyngeal Residue Severity Rating Scale (YPR-SRS) grades, Murray Secretion Severity Scale (MSS) grades and ultrasonographic parameters were compared before and two weeks after intervention. ResultsAfter intervention, FOIS scores improved significantly in all groups (|Z| > 2.843, P < 0.01), and YPR-SRS and MSS grades also showed significant improvements in all BTX-A groups (|Z| > 4.147, P < 0.001). Pairwise comparisons revealed that the order of improvement from best to worst for FOIS, YPR-SRS and MSS grades was the 100 U group, followed by 70 U group, and then 50 U group (P < 0.05). For VFSS scores, the effect of time, group and interaction were all significant (F > 9.68, P < 0.001); pairwise comparisons showed that 100 U group achieved the best outcomes (P < 0.001). Regarding the activity and velocity of the geniohyoid muscle, the effects of time, group and interaction were also significant (F > 7.34, P < 0.001); pairwise comparisons indicated that 100 U group outperformed the other groups in both activity and velocity (P < 0.001). For hyoid bone displacement distance and shortening rate, the effects of time and interaction were significant (F > 3.07, P < 0.05), and the main effects of time on duration and velocity were significant (P < 0.01); pairwise comparisons showed that the 100 U group had superior displacement distance and shortening rate compared to the other groups (P < 0.05). During the treatment and follow-up periods, no serious adverse event occurred in any group. ConclusionUltrasound-guided BTX-A injection assisted by modified catheter-balloon localization may further improve short-term swallowing function in patients with post-stroke CPD， with a dosage of 100 U.

Liver cancer is one of the most common malignant tumors worldwide. Currently, the available treatment methods cannot fully control its recurrence and mortality rate. Establishing appropriate animal models for liver cancer is crucial for developing new treatment technologies and strategies. The patient-derived xenograft (PDX) model preserves the tumor's microenvironment and heterogeneity, which makes it advantageous for biological research, drug evaluation, personalized medicine, and other purposes. This article reviews the development, preparation techniques, application fields, and challenges of PDX models in liver cancer, providing insights for the research and exploration of PDX models in diagnostic and therapeutic strategies of liver cancer.
Liver Neoplasms/drug therapy* ; Animals ; Humans ; Xenograft Model Antitumor Assays/methods* ; Mice ; Disease Models, Animal

OBJECTIVES: Depression is a common negative emotion that can significantly impact physical and mental health. Due to their occupational characteristics, medical staff are more susceptible to depression compared to the general population. This study aims to explore the influence of future-oriented coping on depression among medical staff and the mediating roles of psychological resilience and perceived stress, providing theoretical guidance for depression intervention strategies in this group. METHODS: A cross-sectional survey was conducted among medical staff at a tertiary hospital using convenience sampling. Data were collected via the "Wenjuanxing" platform. A total of 754 questionnaires were distributed; after excluding invalid responses (e.g., duplicate IPs or insufficient completion time), 655 valid questionnaires were retained (valid response rate: 86.87%). Instruments included a demographic questionnaire, the Future-Oriented Coping Scale, the Connor-Davidson Resilience Scale, the Perceived Stress Scale, and the Self-Rating Depression Scale. All scales demonstrated high internal consistency (Cronbach's α>0.88) and validity. SPSS 27.0 was used for descriptive analysis, and PROCESS macro (Model 6) was used to test the chain mediation model. Harman's one-factor test was applied to control for common method bias. RESULTS: Descriptive analyses showed that future-oriented coping was positively correlated with psychological resilience and negatively correlated with perceived stress and depression. Mediation analysis revealed that future-oriented coping significantly predicted lower depression levels among medical staff (β=-0.283, P<0.001). Psychological resilience partially mediated the relationship (effect size=-0.329, accounting for 34.13% of the total effect), as did perceived stress (effect size=-0.099, 10.27%). A significant chain mediation path was identified: "future-oriented coping → psychological resilience → perceived stress → depression" (effect size=-0.253, 26.24%). The total indirect effect accounted for 70.64% of the overall effect, highlighting the substantial role of the mediating pathways. CONCLUSIONS Future-oriented coping can reduce depressive symptoms in medical staff, with psychological resilience and perceived stress serving as key mediators in a chain structure. These findings suggest that enhancing future-oriented coping strategies and psychological resilience may improve stress adaptation and reduce depression levels in this population.
Humans ; Adaptation, Psychological ; Resilience, Psychological ; Cross-Sectional Studies ; Depression/psychology* ; Surveys and Questionnaires ; Stress, Psychological/psychology* ; Male ; Female ; Adult ; Middle Aged ; Medical Staff/psychology* ; Occupational Stress/psychology*

Objective To observe the value of synthetic MRI(SyMRI)MAGnetic resonance image Compilation(MAGiC)sequence parameters for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.Methods Sixty-six patients with pathologically confirmed cervical cancer were retrospectively enrolled and divided into cervical squamous cell carcinoma group(n=56)and cervical adenocarcinoma group(n=10).Quantitative MAGiC parameters were collected and compared between groups,and those being significantly different were combined to construct a logistic regression model.The performance of each parameter alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was evaluated with receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results In cervical adenocarcinoma group,lesions's T1 and T2 were higher,while R1 and R2 were lower than those in cervical squamous cell carcinoma group(all P＜0.05).No statistically significant difference of proton density was found between groups(P＞0.05).The AUC of T1,T2,R1,R2 alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was 0.959,0.945,0.961,0.942 and 0.996,respectively,and no significant difference was found between each two ones(Z=0.267 to 1.396,all P＞0.05).Conclusion SyMRI had high value for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.

Objective:To analyze the epidemiological characteristics of rabies in China during 2024 to understand the patterns of disease transmission and provide a scientific basis for optimizing prevention strategies and advancing the rabies elimination process.Methods:Data on the national rabies epidemic in 2024 and case-specific information from national surveillance sites were collected from China's National Notifiable Disease Reporting System（NNDRS）. Descriptive epidemiological methods were used to analyze the disease trends and epidemic characteristics.Results:In 2024，China reported 167 human rabies cases across 20 provincial-level administrative divisions（PLADs），resulting in 148 fatalities. This represents a 39.17% increase from 2023（120 cases）and the highest annual incidence recorded since 2019. The epidemic exhibited a distinct geographic clustering in central and southern China，with four provinces（Henan，Guangxi，Hunan，and Hubei）accounting for 62.87%（105/167）of nationally reported cases. October（20 cases）and November（20 cases）recorded the highest monthly incidence，while February had the lowest（2 cases）. Farmers constituted the primary affected demographic（80.84%），with a marked male predominance（male-to-female ratio：2.15∶1）-higher than the 2023 ratio（1.86∶1）. Cases spanned all age groups，predominantly affecting middle-aged and older adults. Analysis of 54 cases revealed dogs as the primary exposure source（93.88%），with domestic dogs constituting 75.00% of these.The laboratory diagnosis rate of rabies cases in 2024 was 43.71%（73/167）.Conclusion:After 16 consecutive years of decline，China's rabies epidemic rebounded in 2024，primarily driven by deficiencies in domestic dog management and weaknesses in post-exposure prophylaxis. Key recommendations include enhancing canine vaccination coverage in high-risk areas，implementing targeted health education for farmers and middle-aged and older adults，improving standardized post-exposure treatment protocols，and optimizing integrated surveillance-alert-response systems，ultimately advancing the achievement of rabies elimination goals.

2- (2-thiophenyl) scopolamine glycolate is produced through an ester exchange reaction between scopine and methyl 2, 2-dithienylglycolate, and is used to synthesize tiotropium bromide. In this paper, the treatment process of 12 patients with acute 2- (2-thiophenyl) scopolamine glycolate poisoning was reviewed and their clinical data were analyzed. After a large amount of 2- (2-thiophenyl) scopolamine glycolate was absorbed through the respiratory tract, the poisoning patients presented with central nervous system injury as the main clinical manifestations, accompanied by symptoms such as blurred vision and irritability. After fluid replacement, ovulation induction and symptomatic supportive treatment, all patients improved and were discharged. The patients were followed up. After 6 months, only 3 patients had residual headache and dizziness. It is indicated that early intervention for acute 2- (2-thiophenyl) scopolamine glycolate poisoning has a good prognosis. Meanwhile, occupational protection should be strengthened to prevent the occurrence of poisoning.