Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

BackgroundNon-suicidal self-injury （NSSI） in adolescents is a serious global public health issue. Self-stigma is identified as a key factor hindering adolescents from seeking professional psychological help， while only a few studies have dealt with the self-stigma in adolescents with mood disorder exhibiting NSSI behavior. ObjectiveTo investigate the influencing factors of self-stigma among adolescents with mood disorder who exhibit NSSI behavior， and to examine the chained mediation role of self-esteem and social avoidance/distress in the relationship between NSSI behavior and self-stigma， with the aim of providing references for the detection and intervention of self-stigma in such patients. MethodsA total of 220 consecutive adolescent patients with mood disorder who met "the International Classification of Diseases， Tenth Edition"（ICD-10） diagnostic criteria for depressive disorder or depressive episode of bipolar disorder and attended the Fourth People's Hospital of Wuhu from November 2022 to November 2023 were recruited. The Adolescent Non-suicidal Self-injury Assessment Questionnaire （ANSAQ）， Internalized Stigma of Mental Illness （ISMI） Scale， Self-Esteem Scale （SES）， and Social Avoidance/Distress Scale （SADS） were employed to assess the participants. Correlation among variables was evaluated using Pearson's correlation coefficient. Multivariate linear regression analysis was utilized to identify the factors influencing self-stigma among adolescent patients with mood disorder exhibiting NSSI. The proposed mediating hypotheses were tested using Model 6 in the SPSS Process macro （version 3.0）. ResultsValid responses were received from 204/220 （92.73%） participants， including 153 cases with NSSI and 51 cases without NSSI. The NSSI （vs. no NSSI） group reported significantly higher scores on ISMI and SADS （t=-5.187， -4.564， P<0.01）， and lower scores on SES （t=4.478， P<0.01）. In the NSSI group， the total score of ISMI demonstrated a positive correlation with the total score of SADS and the behavioral questionnaire score in ANSAQ （r=0.644， 0.316， P<0.01）， and a negative correlation with the total score of SES （r=-0.724， P<0.01）. Multivariate linear regression analysis revealed that NSSI severity （β=0.132， P<0.05） and social avoidance/distress （β=0.309， P<0.01） were found to be positive predictors of the self-stigma， whereas self-esteem （β=-0.493， P<0.01） was a significant negative predictor of the self-stigma. Additionally， self-esteem and social avoidance/distress partially mediated the relationship between NSSI and self-stigma， with a mediating effect of 0.237 （95% CI： 0.103~0.374）， which constituted 55.89% of the total effect. The mediating effect included two paths： NSSI behavior→self-esteem→self-stigma （effect size was 0.163， 95% CI： 0.069~0.273） and NSSI behavior→self-esteem→social avoidance/distress→self-stigma （effect size was 0.063， 95% CI： 0.020~0.119）. ConclusionThe severity of NSSI can affect self-stigma in adolescents with mood disorders either directly through mediating self-esteem or indirectly through the chained mediation path of self-esteem and social avoidance/distress.［Funded by Scientific Research Projects of Wuhu Fourth People's Hospital in 2000（number，kjxm202203）］

OBJECTIVE To sort out the evaluation mechanism and methodology of published cases of comprehensive clinical evaluation of drugs in China， and provide a reference for promoting standardized comprehensive clinical evaluation of drugs and strengthening policy transformation in China. METHODS Clinical comprehensive evaluation cases of drugs published in China from CNKI， Wanfang Data， PubMed and Web of Science were systematically searched， and the retrieval time was from the inception to December 31st， 2023. The summary and analysis were performed from the aspects of theme selection， indicator system construction， evaluation methods， comprehensive decision-making， quality control， etc. RESULTS A total of 143 pieces of literature were ultimately included from 2014 to 2023. The number of publications has shown a rapid upward trend since 2019. The subjects of the evaluation cases were mainly pediatric drugs， Chinese patent medicines， cardiovascular drugs and anti-tumor drugs. The evaluation dimensions were between 3-8， all involving safety and effectiveness dimensions. Most cases adopted rapid evaluation methods based on literature review and expert interviews/questionnaire surveys with less emphasis on real-world research. Most cases did not involve comprehensive decision-making， quality control， or policy transformation. CONCLUSIONS The clinical comprehensive evaluation of drugs in China has made rapid progress under the guidance of national policies. However， there are still issues and challenges such as incomplete evaluation methods and standards， few cases of evaluation results being converted into decision-making， and a lack of quality control mechanisms. It is suggested that standardized evaluation paths and quality control mechanisms should be explored； when the evidence-based basis is insufficient， real-world research should be conducted as much as possible， so as to accelerate the policy transformation of evaluation results.

OBJECTIVE To sort out the evaluation mechanism and methodology of published cases of comprehensive clinical evaluation of drugs in China， and provide a reference for promoting standardized comprehensive clinical evaluation of drugs and strengthening policy transformation in China. METHODS Clinical comprehensive evaluation cases of drugs published in China from CNKI， Wanfang Data， PubMed and Web of Science were systematically searched， and the retrieval time was from the inception to December 31st， 2023. The summary and analysis were performed from the aspects of theme selection， indicator system construction， evaluation methods， comprehensive decision-making， quality control， etc. RESULTS A total of 143 pieces of literature were ultimately included from 2014 to 2023. The number of publications has shown a rapid upward trend since 2019. The subjects of the evaluation cases were mainly pediatric drugs， Chinese patent medicines， cardiovascular drugs and anti-tumor drugs. The evaluation dimensions were between 3-8， all involving safety and effectiveness dimensions. Most cases adopted rapid evaluation methods based on literature review and expert interviews/questionnaire surveys with less emphasis on real-world research. Most cases did not involve comprehensive decision-making， quality control， or policy transformation. CONCLUSIONS The clinical comprehensive evaluation of drugs in China has made rapid progress under the guidance of national policies. However， there are still issues and challenges such as incomplete evaluation methods and standards， few cases of evaluation results being converted into decision-making， and a lack of quality control mechanisms. It is suggested that standardized evaluation paths and quality control mechanisms should be explored； when the evidence-based basis is insufficient， real-world research should be conducted as much as possible， so as to accelerate the policy transformation of evaluation results.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

ObjectiveTo analyze the epidemiological characteristics and influencing factors of clustered influenza-like illness (ILI) outbreaks in Yangpu District, Shanghai from 2012 to 2022, and to provide a scientific basis for formulating specific prevention and control measures of influenza in this district. MethodsData on clustered ILI outbreaks from 2012 to 2022 were collected, and the epidemiological pattern of the cluster outbreaks of influenza and its influencing factors of prevalence and duration were explored using statistical methods such as descriptive epidemiology, χ² test and logistic regression analysis. ResultsA total of 60 clustered ILI outbreaks were reported in Yangpu District, Shanghai from 2012 to 2022, with a cumulative number of 543 cases and an annual average incidence rate of 16.96%. The male-to-female ratio was1.06∶1. The largest number of ILI were reported in 2019, mainly from November to January of the next year, with December being the peak of outbreaks. The Streets of Changhai Rd. in Yangpu District had the largest number of reported outbreaks, accounting for 30.00% of the total outbreaks. Influenza cluster outbreaks occurred in schools, with the majority of outbreaks and cases reported in primary schools (accounting for 65.00% and 62.06% of the total, respectively). The outbreaks were mainly caused by influenza B virus, accounting for 50% of the total number of outbreaks. The prevalence rate of influenza cluster outbreaks varied among different schools in terms of their affiliated streets, school attributes and school types, with those in Kongjiang Rd. Subdistrict, private schools, and childcare institutions being relatively high. The duration of outbreaks reported for >2 days was longer than those reported for ≤2 days (OR=8.604, 95%CI: 1.509–49.067). ConclusionThe ILI outbreaks in Yangpu District present a seasonal pattern, with primary schools and Changhai Rd. Street as the targeted places for implementing prevention and control measures. Timely detection and reporting and active disposal can prevent a further spread of the outbreaks.

OBJECTIVE To establish a closed-loop management system for the whole-process traceability of outpatient drugs based on internet of things （IoT） and blockchain technology， and evaluate its implementation effects. METHODS A closed-loop management system for the whole-process traceability of outpatient drugs covering the entire drug lifecycle was designed using drug traceability codes integrated with IoT and blockchain technology. System effectiveness was evaluated from three dimensions： work efficiency， medication management quality and data safety by comparing indicators such as the acceptance time of incoming drugs and the number of collected drug traceability codes before the system implementation （October to December 2024） and after the system implementation （January to March 2025）. RESULTS A closed-loop management system for the whole-process traceability of outpatient drugs， centered around the drug traceability code management system， was successfully established. The acceptance time for incoming drugs was shortened from （4.65±0.26） h before implementation to （0.34±0.08） h after implementation （P＜ 0.05）. The number of collected drug traceability codes increased from 419 018 to 1 236 522， and the coverage rate of traceability codes rose from 28.36% to 89.88% （P＜0.05）. The time pharmacists spent on drug expiry management per week decreased from （128.40±19.20） min to （0.56±0.13） min （P＜0.05）， and the dispensing time for a single prescription （excluding a part of injections and repackaged drugs） was reduced from （143.25±17.67） s to （15.24±10.08） s （P＜0.05）. The time for drug return was reduced from 129.90 （122.32， 137.00） s to 104.36 （89.91， 117.33） s（P＜0.05）； the number of drug dispensing errors decreased from 2 cases to 0 cases. After the system was launched， there were no data security incidents in our outpatient pharmacy. CONCLUSIONS The constructed closed-loop management system for the whole-process traceability of outpatient drugs can significantly enhance drug traceability accuracy and drug management quality， improve pharmacist work efficiency， and reduce drug management risks， thus providing a feasible solution for the digital transformation of hospital pharmaceutical services.

Objective To explore the phenotypic conversion of regulatory T cells (Tregs) in the lungs of mice with bronchopulmonary dysplasia (BPD)-affected mice. Methods A total of 20 newborn C57BL/6 mice were divided into air group and hyperoxia group, with 10 mice in each group. The BPD model was established by exposing the newborn mice to hyperoxia. Lung tissues from five mice in each group were collected on postnatal days 7 and 14, respectively. Histopathological changes of the lung tissues was detected by HE staining. The expression level of surfactant protein C (SP-C) in the lung tissues was examined by Western blot analysis. Flow cytometry was performed to assess the proportion of FOXP3⁺ Tregs and RORγt⁺FOXP3⁺ Tregs in CD4⁺ lymphocytes. The concentrations of interleukin-17A (IL-17A) and IL-6 in lung homogenate were measured by using ELISA. Spearman correlation analysis was used to analyze the correlation between FOXP3⁺Treg and the expression of SP-C and the correlation between RORγt⁺FOXP3⁺ Tregs and the content of IL-17A and IL-6. Results The hyperoxia group exhibited significantly decreased levels of SP-C and radical alveolar counts in comparison to the control group. The proportion of FOXP3⁺Tregs was reduced and that of RORγt⁺FOXP3⁺Tregs was increased. IL-17A and IL-6 concentrations were significantly increased. SP-C was positively correlated with the expression level of RORγt⁺FOXP3⁺ Tregs. RORγt⁺FOXP3⁺ Tregs and IL-17A and IL-6 concentrations were also positively correlated. Conclusion The number of FOXP3⁺ Tregs in lung tissue of BPD mice is decreased and converted to RORγt⁺ FOXP3⁺ Tregs, which may be involved in hyperoxy-induced lung injury.
Animals ; Mice ; Mice, Inbred C57BL ; Bronchopulmonary Dysplasia ; T-Lymphocytes, Regulatory ; Interleukin-17 ; Nuclear Receptor Subfamily 1, Group F, Member 3 ; Hyperoxia ; Interleukin-6 ; Forkhead Transcription Factors ; Lung

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

Objective:To investigate the acute gastrointestinal injury (AGI) in patients with extracorporeal membrane oxygenation (ECMO) at the early stage of operation and its influencing factors.Methods:A total of 70 patients with ECMO who were hospitalized in the Emergency Care Unit of Guangxi Zhuang Autonomous Region People's Hospital from September 2020 to December 2021 were retrospectively analyzed, and a total of 70 patients with ECMO who were hospitalized in the emergency care unit of Guangxi Zhuang Autonomous Region People's Hospital from September 2020 to December 2021 were retrospectively analyzed. According to the 2012 guidelines of the European Society of Intensive Care Medicine on the classification of acute gastrointestinal injury in critically ill patients, the patients were divided into AGI group and non-AGI group. The incidence of acute gastrointestinal injury in the early stage was statistically analyzed, and the results of blood gas analysis during ECMO loading and ECMO parameters, hemodynamic indexes and biochemical indexes after ECMO transfer were statistically analyzed. To explore the influencing factors and independent risk factors of AGI in the early stage. In addition, 70 patients were divided into successful group and non-successful group according to whether they were successfully withdrawn. The occurrence of acute gastrointestinal injury between the two groups was compared, and the effect of acute gastrointestinal injury on ECMO patients was analyzed.Results:Among the 70 ECMO patients, the incidence of early AGI was 71.43% (50 cases), and the components of AGI Ⅰ, Ⅱ, Ⅲ and Ⅳ were 18.57% (13 cases), 41.43% (29 cases), 11.43% (8 cases) and 0% (0 cases), respectively. ① Univariate analysis showed that systolic blood pressure, diastolic blood pressure, mean arterial pressure (MAP), vasoactive drug index (VIS), pH, lactic acid and BMI were significantly different between AGI group and non-AGI group when ECMO was used ( P < 0.05). Logistic binary regression analysis showed that BMI was an independent risk factor for early AGI in ECMO patients (ROC area 0.657, 95% confidence interval 0.522-0.791 ( P < 0.05), and Yoden index 0.15). (3) The AGI composition ratio of the unsuccessful group was higher than that of the unsuccessful group ( P < 0.05). Conclusions:Patients with ECMO have a high incidence of AGI in the early stage, mainly occurring in grade I and Ⅱ. Systolic blood pressure, diastolic blood pressure, MAP, VIS, pH, lactic acid and BMI when ECMO is put on are influential factors for the early development of AGI in ECMO patients, among which BMI is an independent risk factor for the early development of AGI in ECMO patients. The occurrence of AGI reduces the probability of successful withdrawal in ECMO patients.