Objective: To analyze respiratory syncytial virus(RSV) outbreaks surveillance results and the epidemiological characteristics in kindergarten and school in Shenzhen during 2017-2023 , so as to provide a scientific reference for control and prevention of RSV. Methods: Epidemiological data and surveillance results of RSV outbreaks in kindergarten and school from 2017 to 2023 were collected for descriptive analyses. Results: A total of 31 RSV outbreaks were identified in kindergarten and school in 2017-2023 in Shenzhen, 346 cases were reported, the average incidence rate was 22.02%. The most annual RSV outbreaks were reported in 2020 with 14 outbreaks, followed by 8 outbreaks in 2023. A total of 64.52% of RSV outbreaks were identified in kindergarten with rest occurring in primary school or middle school. The greatest monthly count of outbreak was 18 (58.06%) in September, followed by 3 outbreaks (9.68%) in March and October. A total of 244 swab samples were collected, 169 samples were positive for respiratory viruses, the positive rate was 69.26%, 121 samples were positive for RSV,from 31 respiratory syncytical virus outbreaks 57 and samples were positive for other respiratory viruses(9 samples were positive for two respiratory viruses). A toral of 14(45.16%) outbreaks are caused by RSV alone, 17 outbreaks (54.84%) were caused by RSV and other respiratory viruses. Conclusions Most RSV outbreaks in kindergarten and school are reported after 2020 in Shenzhen, most RSV outbreaks occur in kindergarten, peak seasons of RSV outbreaks are autumn and spring.

Objective: To understand classroom environmental conditions and their association with spinal curvature abnormalities among students of primary and secondary schools in Guizhou Province, so as to provide a basis for formulating school health policies and scientific prevention and control measures for abnormal spinal curvature in students. Methods: Using a stratified random sampling method, 471 schools (2 811 classrooms) were selected annually across the province from 2022 to 2024 in order to monitor and evaluate classroom environment according to national standards. Spinal examinations were conducted for 196 606 (2022), 194 876 (2023), and 195 048 (2024) students, and χ 2 test was used to analyze the correlation of desk and chair compliance with student spinal curvature abnormalities. Results: The qualified rates of classroom blackboard illuminance uniformity ( 85.41 %) and the blackboard size (82.24%) were the highest in primary and secondary schools in Guizhou Province, while the average blackboard surface illumination qualified rate (20.10%) was the lowest. The average desk illumination (50.11%-58.63%), desk illumination uniformity (61.92%-72.27%) and qualified noise rate (50.04%-51.94%) increased significantly in 3 years; in addition, the compliance rate of desks and chairs decreased from 25.00% to 13.52%, and the differences were all statistically significant ( χ 2=42.48, 80.93, 46.09, 129.72, all P <0.05). Middle school classrooms outperformed primary schools in terms of per capita area, average blackboard illuminance, blackboard illuminance uniformity, average desktop illuminance, desktop illuminance uniformity, and noise compliance ( χ 2=311.55, 12.41, 20.64, 40.76, 10.25, 52.47), but had lower compliance for blackboard size and reflectance ( χ 2=537.29, 7.59) (all P <0.01). Urban schools had higher compliance than suburban schools for per capita area, average blackboard illuminance, average desktop illuminance, and desktop illuminance uniformity ( χ 2=73.71, 17.68, 29.30 , 36.03), but lower compliance for desk-chair suitability, blackboard size, and blackboard reflectance ( χ 2=4.72, 26.02, 5.43 ) (all P <0.05). The spinal curvature abnormality detection rate was 0.83%. A significant association was found between abnormality detection and desk-chair non compliance ( χ 2=223.85, P <0.01). Conclusions Classroom environment hygiene in Guizhou schools is suboptimal. Strengthening school environmental hygiene infrastructure and greater attention to its impact on student s health are essential.

Objective: To understand the epidemiological characteristics of abnormalities spinal curvature among children and adolescents in Karst landform in Guizhou Province, so as to provide a scientific basis for targeted comprehensive intervention. Methods: From September to December 2023, 194 875 children and adolescents aged 6-18 were selected from all countieldistricts of 9 cities (prefectures) in Guizhou Province by stratified random cluster sampling method according to the proportion of Karst landform area in Guizhou Province for carrying out spinal curvature abnormality screening, and a questionnaire survey was conducted on 139 449 students in the fourth grade and above of primary school. Binary Logistic regression was used for multivariate analysis. Results: The detection rate of abnormal spinal curvature among children and adolescents aged 6-18 in Guizhou Province was 1.13%. The detection rates of abnormal spinal curvature in areas with a high proportion of Karst landform, areas with a low proportion of Karst landform, intercalation areas, and nonKarst landform areas were 1.10%, 2.00%, 0.90%, and 0.60%, respectively. Among them, the detection rates of abnormal spinal curvature in female students (2.40%, 1.60%, 0.90%) in areas with a low proportion of Karst landform, intercalation areas and nonKarst landform were higher than those in male students (1.60%, 0.10%, 0.30) (χ2=12.66, 112.69, 30.22, all P<0.05). The detection rates of abnormal spinal curvature among senior high school students (2.00%, 4.30%, 1.40%, 1.30%) in different Karst landform distributions were successively higher than those among junior high school students (1.40%, 3.20%, 1.00%, 0.60%) and primary school students (0.70%, 0.80%, 0.60%, 0.30%) (χ2=306.11, 175.80, 14.24, 39.57, all P<0.05). The results of multivariate Logistic regression analysis showed that the detection rates of abnormal spinal curvature in both highproportion and lowproportion Karst landform areas were higher than those in nonKarst landform areas [OR(95%CI)=1.84(1.05-2.25), 1.60(1.23-2.09), both P<0.05]. Conclusion The detection rate of abnormal spinal curvature in children and adolescents aged 6-18 in Guizhou Province is related to the distribution of Karst landform, so it is necessary to strengthen screening and appropriate comprehensive interventions.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Objective This study investigated the regulatory effect of high mobility group protein B1 (HMGB1) in the peripheral blood of patients with primary immune thrombocytopenia (ITP) on myeloid dendritic cells (mDC) and Th17/regulatory T cells (Treg) balance. Methods The study enrolled 30 newly diagnosed ITP patients and 30 healthy controls.Flow cytometry was used to measure the proportion of mDC, Th17, and Treg cells in the peripheral blood of ITP patients and healthy controls. ELISA was conducted to quantify the serum levels of HMGB1, interleukin 6 (IL-6), IL-23, IL-17, and transforming growth factor β(TGF-β). The mRNA levels of retinoic acid-related orphan receptor γt(RORγt) and forehead box P3(FOXP3) were detected by real-time PCR. The correlation between the abovementioned cells, cytokines, and platelet count was assessed using Pearson linear correlation analysis. Results The proportion of Th17 cells and the expression levels of HMGB1, IL-6, IL-23, IL-17 and the level of RORγt mRNA in the peripheral blood of ITP patients were higher than those in healthy controls. However, the Treg cell proportion and TGF-β level were lower in ITP patients than those in healthy controls. In patients with ITP, the proportion of mDC and the level of FOXP3 mRNA did not show significant changes. The proportion of mDC cells was significantly correlated with the expression of IL-6 and IL-23. Moreover, the expression of HMGB1 showed a significant correlation with the expression of mDC, IL-6, IL-23, RORγt mRNA, and IL-17. Notably, both the proportion of mDC cells and the expression of HMGB1 were negatively correlated with platelet count. Conclusion The high expression of HMGB1 in peripheral blood of ITP patients may induce Th17/Treg imbalance by promoting the maturation of mDC and affecting the secretion of cytokines, thereby potentially playing a role in the immunological mechanism of ITP.
Humans ; Th17 Cells/cytology* ; HMGB1 Protein/genetics* ; T-Lymphocytes, Regulatory/cytology* ; Female ; Male ; Dendritic Cells/metabolism* ; Adult ; Middle Aged ; Purpura, Thrombocytopenic, Idiopathic/genetics* ; Nuclear Receptor Subfamily 1, Group F, Member 3/genetics* ; Young Adult ; Interleukin-23/blood* ; Interleukin-17/blood* ; Interleukin-6/blood* ; Forkhead Transcription Factors/genetics* ; Myeloid Cells/cytology* ; Aged

OBJECTIVE: To explore the feasibility of establishing a temporary trauma team led by trauma experts in primary hospitals for disaster medical rescue. METHODS: In the coal mine flooding accident in Xiaoyi City, Shanxi Province on December 15, 2021, according to the local emergency plan and the characteristics of the accident, the trauma experts trained the medical staff from the local primary hospital on advanced trauma life support (ATLS) and damage control surgery (DCS) in the short time interval between the occurrence of the mine disaster and the admission of medical staff to the disaster scene. A temporary trauma team composed of trauma experts, ATLS team, and DCS team was formed to provide early diagnosis and treatment for survivors before and in the hospital. RESULTS: The miners were found on the 36th hour of the disaster. All 22 miners were male, and 2 died underground. Another 20 people were rescued 39－43 hours after the disaster, with a median age of 48 years (34-57 years). All the survivors suffered from hypothermia, dehydration, maceration of feet and other injuries. There were 18 cases of acute inhalation tracheobronchitis, 14 cases of electrolyte acid-base disturbance, 6 cases of trunk contusion, 1 case of psoas major hematoma, and 1 case of lower extremity hematoma. Deep vein thrombosis was in 4 cases. The ATLS team focused on injury assessment, rewarming and rehydration within 50－60 minutes before admission, and completed auxiliary examinations within 2 hours after admission to clarify the diagnosis. The DCS team evaluated 6 patients with mechanical blunt trunk injury and excluded the indication of emergency surgery. The trauma experts conducted the whole process of supervision and quality control of disaster rescue. The positive rate of capillary refill test in the all survivors at the third hour of admission was significantly lower than that immediately after being rescued (75.0% vs. 15.0%, P=0.000 3), and they were discharged 4－7 days after admission. CONCLUSION Under the leadership of trauma experts and relying on the medical staff of primary hospitals, it is feasible to establish and train a temporary trauma team with ATLS and DCS functions to participate in the medical rescue of disasters, which is in line with the current national conditions of China.
Humans ; Adult ; Middle Aged ; Male ; Rescue Work/organization & administration* ; China ; Disasters ; Patient Care Team/organization & administration* ; Wounds and Injuries/therapy* ; Advanced Trauma Life Support Care/organization & administration* ; Disaster Planning/organization & administration* ; Emergency Medical Services/organization & administration*

"Weibing" is a fundamental concept in traditional Chinese medicine (TCM), representing a transitional state characterized by diminished self-regulatory abilities without overt physiological or social dysfunction. This perspective delves into the biological foundations and quantifiable markers of Weibing, aiming to establish a research framework for early disease intervention. Here, we propose the "Health Quadrant Classification" system, which divides the state of human body into health, sub-health, disease-susceptible state, and disease. We suggest the disease-susceptible stage emerges as a pivotal point for TCM interventions. To understand the intrinsic dynamics of this state, we propose laboratory and clinical studies utilizing time-series experiments and stress-induced disease susceptibility models. At the molecular level, bio-omics technologies and bioinformatics approaches are highlighted for uncovering intricate changes during disease progression. Furthermore, we discuss the application of mathematical models and artificial intelligence in developing early warning systems to anticipate and avert the transition from health to disease. This approach resonates with TCM's preventive philosophy, emphasizing proactive health maintenance and disease prevention. Ultimately, our perspective underscores the significance of integrating modern scientific methodologies with TCM principles to propel Weibing research and early intervention strategies forward.

Computational approaches for predicting drug-target interactions (DTIs) are pivotal in advancing drug discovery. Current methodologies leveraging heterogeneous networks often fall short in fully integrating both local and global network information. To comprehensively consider network information, we propose DHGT-DTI, a novel deep learning-based approach for DTI prediction. Specifically, we capture the local and global structural information of the network from both neighborhood and meta-path perspectives. In the neighborhood perspective, we employ a heterogeneous graph neural network (HGNN), which extends Graph Sample and Aggregate (GraphSAGE) to handle diverse node and edge types, effectively learning local network structures. In the meta-path perspective, we introduce a Graph Transformer with residual connections to model higher-order relationships defined by meta-paths, such as "drug-disease-drug", and use an attention mechanism to fuse information across multiple meta-paths. The learned features from these dual perspectives are synergistically integrated for DTI prediction via a matrix decomposition method. Furthermore, DHGT-DTI reconstructs not only the DTI network but also auxiliary networks to bolster prediction accuracy. Comprehensive experiments on two benchmark datasets validate the superiority of DHGT-DTI over existing baseline methods. Additionally, case studies on six drugs used to treat Parkinson's disease not only validate the practical utility of DHGT-DTI but also highlight its broader potential in accelerating drug discovery for other diseases.

Objective To explore the cost effectiveness of osimertinib and gefitinib in the treatment of advanced non-small cell lung cancer （NSCLC） with epidermal growth factor receptor （EGFR） mutation. Methods A total of 52 advanced NSCLC patients with EGFR mutation treated by osimertinib were selected as group A from June 2021 to August 2022 at the Chengde Central Hospital, and 52 patients treated by gefitinib were selected as group B according to the propensity score matching method in 1∶1 ratio. The treatment cost and effect of the two groups of patients were compared, and the cost-effectiveness ratio was calculated, and sensitivity analysis was conducted. Results The total effective rate of group A was higher than that of group B （90.38% vs 71.15%, χ²=6.190, P=0.013）. The drug cost and total treatment cost of group A were higher than those of group B（P<0.05）, and other direct costs were lower than those of group B （P<0.05）. The incremental cost effectiveness ratio of group A was 374.71. After the cost-effectiveness sensitivity analysis on adjusting drug costs to decrease by 10% and the total effective rate to decrease by 10% of the two groups, the sensitivity analysis results were basically consistent with the original results. Conclusion Based on the latest prices and actual case data of osimertinib and gefitinib, osimertinib was better than gefitinib in the treatment of advanced NSCLC patients with EGFR mutation. Although gefitinib had lower treatment costs, osimertinib had more cost effectiveness advantages. These findings could provide important reference for the clinical development of treatment plans for advanced NSCLC patients with EGFR mutations.

Fibromyalgia syndrome （FMS） is a refractory， chronic non-articular rheumatic disease characterized by widespread pain throughout the body， for which there are no satisfactory therapeutic drugs or options. There are rich Chinese medical therapies， and some non-drug therapies， such as acupuncture， Tai Chi， and Ba-Duan-Jin， have shown satisfactory efficacy and safety and definite advantages of simultaneously adjusting mind and body. FMS is taken as a disease responding specifically to traditional Chinese medicine （TCM） by the National Administration of Traditional Chinese Medicine in 2018. In order to clarify the research progress in FMS and the clinical advantages of TCM/integrated Chinese and Western medicine， the China Academy of Chinese Medicine organized a seminar for nearly 20 experts in Chinese and Western medicine， including rheumatology， psychology， acupuncture and moxibustion， and encephalopathy， with the topic of difficulties in clinical diagnosis and treatment of FMS and advantages of TCM and Western medicine. The recommendations were reached on the difficulties in early diagnosis and solutions of FMS， mitigation of common non-specific symptoms， preferential analgesic therapy， TCM pathogenesis and treatment advantages， and direction of treatment with integrated Chinese and Western medicine. FMS is currently facing the triple dilemma of low early correct diagnosis， poor patient participation， and unsatisfactory benefit from pure Western medicine treatment. To solve the above problems， this paper suggests that rheumatologists should serve as the main diagnostic force of this disease， and they should improve patient participation in treatment decision-making， implement exercise therapy， and fully utilize the holistic and multidimensional features of TCM， which is effective in alleviating pain， improving mood， and decreasing adverse events. In addition， it is suggested that FMS treatment should rely on both TCM and Western medicine and adopt multidisciplinary joint treatment， which is expected to improve the standard of diagnosis and treatment of FMS in China.