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.

OBJECTIVE To standardize the strategies for prevention and control of Chikungunya(CHIK)in healthcare in-stitutions so as to reduce the risk of transmission in the institutions.METHODS A working group comprising the ex-perts in hospital infection control,infectious diseases,and microbiology systematically reviewed domestic and international evidence and current guidelines,integrated China's vector ecology and healthcare realities,conducted two rounds of Delphi to achieve expert consensus,and graded the evidence and recommendation strength using the Oxford Centre for Evidence Based Medicine system.RESULTS The consensus issues 18 actionable recommendations on triage,patient mosquito-proof isolation,integrated vector control,protection of susceptible populations,environmental cleaning and disinfection,specimen management,medical textile handling,and outbreak emergency response,with each statement assigned an evi-dence level and recommendation strength.CONCLUSION This consensus is for the first time in China to provide evidence-graded strategies for control of CHIK in healthcare institutions,offering work flow-oriented,implementable guidance for clinicians,laboratorians,and infection-control personnel under different risk scenarios and enhancing the comprehensive coping capacity of the healthcare institutions.

Objective To explore and address the issue of insufficient segmentation accuracy in liver tumor segmentation using the traditional U-Net algorithm,which is caused by the lack of contextual information for both the liver and tumor,as well as the large morphological variability of tumors.Methods A cascaded liver tumor segmentation algorithm,DDR-UNet++,which integrated dilated convolutions and residual modules was proposed.Firstly,CT images from the LiTS-2017 dataset were preprocessed through window width/level adjustment,histogram equalization and Gaussian filtering to reduce noise and smooth edges.Then,a cascaded liver segmentation model was employed to enhance the liver region proportion,mitigate interference from surrounding tissues and address data imbalance issue.For liver tumor segmentation,deformable dilated convolutions and residual networks were introduced to expand the receptive field and improve feature extraction capability.Results DDR-UNet++outperformed the traditional U-Net on the LiTS-2017 dataset,achieving improvements of 4.7%,1.7%,and 8.5%in Dice similarity coefficient,relative volume difference,and Jaccard index,respectively.These enhancements contribute to overcoming the inefficiency and low accuracy issues in conventional tumor segmentation,thereby improving early tumor detection rates,enhancing patient survival outcomes,and alleviating the diagnostic burden on clinicians.Conclusion The proposed method improves the feature extraction capability to some extent by enhancing the model structure and segmentation strategy,effectively increases the accuracy and robustness of liver tumor segmentation,and provides a reliable technical reference for clinical auxiliary diagnosis.

AIM:To establish a mouse model of chronic skin fibrosis by combining skin injury with bleomycin(BLM)induction.METHODS:Male SPF-grade BALB/c mice were randomly allocated into five groups(n=10 per group):control(Ctrl),high-dose BLM(BLM-H),medium-dose BLM(BLM-M),low-dose BLM(BLM-L),and BLM-control(BLM-Ctrl).A 6 mm full-thickness skin excision was performed on the dorsal region of mice,followed by subcuta-neous injections of BLM at four points around the wound.Mice in the Ctrl group were injected with saline,whereas the BLM-Ctrl group received injections without skin excision.The wound healing rates and times were assessed statistically.Histopathological alterations in wound tissues were examined using hematoxylin-eosin and Masson's trichrome staining.Enzyme-linked immunosorbent assay(ELISA)was employed to measure matrix metalloproteinases(MMPs),and Western blot analysis was conducted to detect collagen type I(COL I)and COL III expression.RESULTS:Compared to the Ctrl group,wound healing rates were significantly reduced(P<0.05 or P<0.01)and healing times significantly prolonged in BLM-H,BLM-M,and BLM-L groups.Histological analysis indicated significantly delayed epithelialization,thicker der-mis,increased collagen deposition,and heightened inflammatory infiltration in the BLM-H group relative to the Ctrl group(P<0.05 or P<0.01).ELISA revealed significantly elevated expression of MMP-2,MMP-3,and MMP-9 in the BLM-H group compared to controls(P<0.01).Western blot results demonstrated significantly increased COL I and COL III pro-tein levels in the BLM-H group compared to the Ctrl group(P<0.05 or P<0.01).CONCLUSION:A mouse model in-volving a 6 mm full-thickness dorsal skin excision combined with subcutaneous injections of BLM(5 mg/kg)at four perile-sional points daily for 21 consecutive days is suitable for investigating chronic skin fibrosis wounds.

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.

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:To investigate the risk of hospital death in patients with traumatic hemorrhagic shock combined with multiple organ dysfunction syndrome(MODS)predicted by discriminant analysis.Methods:This study was a single-center retrospective study. From January 2013 to May 2023, patients with traumatic hemorrhagic shock complicated with MODS admitted to Peking University People's Hospital were selected as the research objects. According to the in-hospital survival, the patients were divided into survival group (205 cases) and death group (29 cases). The general condition, injury assessment, laboratory indexes, complications and clinical scores of the two groups were compared. Wilks's Lambda stepwise discriminant analysis was used to establish a discriminant model for in-hospital death in patients with traumatic hemorrhagic shock combined with MODS. the Receiver operating characteristic curve (ROC) was drawn and the Area under the curve (AUC) was calculated. The cross-validation method was used to evaluate the accuracy of the prediction results of the established model.Results:There was a statistical difference between the survival group and the death group in terms of the main bleeding site (limbs), the time from injury to hospital admission, temperature, platelet count, prothrombin time, activated partial thrombin time, fibrinogen, albumin, serum creatinine, estimated glomerular filtration rate, uric acid, cardiac troponin I, procalcitonin, base excess, lactate to albumin ratio, glucose to albumin ratio, acute respiratory distress syndrome, acute kidney injury, acute myocardial injury, traumatic induced coagulopathy, ISS, APACHEⅡ score and SOFA scores. There are four indicators entering the final discrimination model: Prothrombin time, ISS score, estimated glomerular filtration rate, lactate to albumin ratio. The AUC for predicting the risk of death in patients with traumatic hemorrhagic shock combined with MODS was 0.791, and the 95% CI was 0.671 to 0.911. Conclusions:The established discriminant model is highly accurate in predicting the risk of hospital death in patients with traumatic hemorrhagic shock complicated with MODS. Prothrombin time, ISS score, estimated glomerular filtration rate and lactate to albumin ratio were associated with an increased risk of death from traumatic hemorrhagic shock with MODS.

Objective To investigate the effects of Jiawei Ditan Decoction on neurological function,pentraxin-3(PTX-3),and vascular endothelial growth factor(VEGF)in patients with post-ischemic stroke cognitive impairment(PSCI).Methods A total of 97 patients with PSCI who were admitted to Xuzhou Central Hospital from March 2022 to March 2024 were enrolled and randomly assigned to control group(n=48)or decoction group(n=49)using the envelope drawing method.The control group received conventional treatment,while the decoction group was additionally treated with Jiawei Ditan Decoction.Clinical efficacy,Traditional Chinese Medicine(TCM)syndrome scores,cognitive and functional assessments,laboratory markers,and oxidative stress levels were compared between the two groups.Results The total effective rate in the decoction group was significantly higher than that in the control group(P<0.05).At 3 and 6 months after treatment,TCM syndrome scores in the decoction group were lower than those in the control group(P<0.05).The scores of the Montreal cognitive assessment(MoCA),mini-mental state examination(MMSE),and Barthel index(BI)in the decoction group were higher than those in the control group at 3 months after treatment,while the National Institutes of Health stroke scale(NIHSS)score in the decoction group was lower than that in the control group(P<0.05).At 1 month after treatment,PTX-3 and hypersensitive C-reactive protein(hs-CRP)levels in the decoction group were lower than those in the control group,while VEGF,superoxide dismutase(SOD),glutathione peroxidase(GSH-Px),and nitric oxide(NO)levels in the decoction group were higher than those in the control group(P<0.05).Conclusion Jiawei Ditan Decoction exhibits significant effects on improving neurological function and modulating PTX-3 and VEGF levels in patients with PSCI.