The effective integration of ideological and political education into medical courses is one of the most important aspects of medical teaching reform and a key approach to fostering students'moral character.Based on the Outcomes-Based Education(OBE)philosophy,this article focuses on the learning outcomes of Medical Immunology ideological and political education,integrating relevant ideological and political elements with modular teaching content to form a themed"Medical Immunology Ideological and Politi-cal"teaching goal with distinctive features of Medical Immunology.Through a blended learning model of online and offline teaching methods,students are guided to learn modular teaching content.This study creatively integrates Medical Immunology theory with ideo-logical and political elements,carries out"Medical Immunology Ideological and Political"through professional knowledge,and achieves the goal of subtle and deep-seated ideological and political education.Moreover,it effectively improves students'comprehensive learning and application abilities,enabling them to apply what they have learned.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

In 2040, neurodegenerative diseases (NDD) will overtake cancer as the second leading cause of death after cardiovascular and cerebrovascular diseases. Therefore, the search for effective intervention measures has become the top priority to deal with this difficult burden. Hyperbaric oxygen therapy (HBOT) has been used for the past 50 years to treat conditions such as decompression sickness, carbon monoxide poisoning and radiation damage. In recent years, studies have confirmed that HBOT has good effects in improving cognitive impairment after brain injury and stroke, and alleviating neurodegeneration and dysfunction related to NDD. Here we reviewed the pathogenesis and treatment state of NDD, introduced the application of HBOT in animal models and clinical studies of NDD, and expounded the application potential of HBOT in the treatment of NDD from the perspective of mitochondrial function, neuroinflammation, neurogenesis and angiogenesis, oxidative stress, apoptosis, microcirculation and epigenetics.
Hyperbaric Oxygenation ; Humans ; Neurodegenerative Diseases/physiopathology* ; Animals ; Oxidative Stress ; Apoptosis ; Mitochondria/physiology* ; Neurogenesis ; Epigenesis, Genetic

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

The effective integration of ideological and political education into medical courses is one of the most important aspects of medical teaching reform and a key approach to fostering students'moral character.Based on the Outcomes-Based Education(OBE)philosophy,this article focuses on the learning outcomes of Medical Immunology ideological and political education,integrating relevant ideological and political elements with modular teaching content to form a themed"Medical Immunology Ideological and Politi-cal"teaching goal with distinctive features of Medical Immunology.Through a blended learning model of online and offline teaching methods,students are guided to learn modular teaching content.This study creatively integrates Medical Immunology theory with ideo-logical and political elements,carries out"Medical Immunology Ideological and Political"through professional knowledge,and achieves the goal of subtle and deep-seated ideological and political education.Moreover,it effectively improves students'comprehensive learning and application abilities,enabling them to apply what they have learned.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:The aim of this study is to explore the clinical efficacy and safety of endocrinotherapy combined with Shenqi Pills on hormone-sensitive prostate cancer(HSPC).Methods:Eighty patients who were diagnosed with HSPC and renal-yang deficiency at the First Affiliated Hospital of Hunan University of Traditional Chinese Medicine and the Hospital of Traditional Chi-nese Medicine of Mayang Miao Autonomous County from 1st April 2021 to 30th April 2024 were randomly divided into 2 groups.The patients in the control group were treated with androgen deprivation therapy(ADT).And the patients in treatment group were treated with Shenqi Pills orally on the basis of the control group.The baseline data of the two groups were analyzed.After 36 months of treat-ment,the differences between the two groups were compared in terms of overall survival(OS),prostate-specific antigen(PSA)level,PSA response rate,Functional Assessment Scale for Prostate Cancer Therapy(FACT-P),Chinese medicine evidence scores,testoster-one level and safety.Results:A total of 80 study subjects were included in this study,including 42 cases in the treatment group and 38 cases in the control group.There was no statistical difference in the baseline data between the two groups before treatment(P＞0.05).At the end of the observation period,a statistically significant difference in OS was found in the treatment group compared to the control group in the subgroup of patients with a disease duration ranged of 0-6 months(P＜0.05).There was no statistically signif-icant difference in PSA levels in the treatment group at 3 months(P＞0.05).And the differences in the proportion of PSA50(98.1％vs 91.4％),PSA90(92.9％ vs 84.6％)and the proportion of decrease in PSA(56.7％vs 33.8％)in the treatment group were found compared to those in the control group after 6 months of tre atment.After 12 months of treatment,the scores of FACT-4 and re-nal-yang deficiency in the treatment group were(95.28±7.93)and(15.73±5.70)respectively,compared to the scores in the con-trol group([85.46±10.12]and[18.20±4.27](P＜0.05).However,there was no significant difference in serum testosterone([0.60±0.24]nmol/L vs[1.09±2.10]nmol/L)between the two groups(P＞0.05).After 24 months of treatment,there were significant differences in in the FACT-4 total score([97.95±7.54]vs[80.33±8.58]),renal-yang deficiency syndrome score([14.64±5.15]vs[24.94±8.75])between the treatment group and the control group(P＜0.05).However,there was no signifi-cant difference in serum testosterone([0.73±1.01]nmol/L vs[0.59±0.25]nmol/L)between the two groups(P＞0.05).Bet-ter therapeutic results were showed in the treatment group in terms of total FACT-P score,physical situation score,social and family situation score,emotional state score,functional state score,additional score and renal-yang deficiency symptom score(P＜0.05).After treatment,there was no serious adverse reaction in the course of treatment,and no obvious abnormality was found in the liver and kidney function of the patients from two groups.Conclusion:Endocrinotherapy combined with Shenqi Pills is safe and effective in HSPC and can reduce the risk of death in HSPC patients,and the earlier the intervention,the longer the overall survival of the pa-tients.In addition,this treatment regimen can increase the PSA response rate,improve patients'quality of life,and reduce the renal-yang deficiency syndrome score without the risk of elevating serum testosterone levels.

Objective To analyze the characteristics of healthcare-associated infection(HAI)in patients in liver transplantation intensive care unit(ICU),and provide basis for the effective prevention and control of liver post-transplantation infection.Methods Targeted surveillance data of HAI in liver transplantation ICU from 2018 to 2022 were analyzed retrospectively.Incidence,incidence trend,infection site,pathogens and drug resistance were analyzed.Results A total of 3 762 liver transplantation patients were surveilled,106 patients developed 133 cases of HAI,with an incidence of 2.82％and a case incidence of 3.54％.There was no significant difference among the years(P=0.473).Infection mainly occurred within 2 weeks after admission to ICU,accounting for 85.85％.The main infection sites included blood system(26.32％),respiratory system(22.56％),and surgical site(19.55％).The average utilization rates of central veinous catheterization,urethral catheterization,and ventilator were 85.77％,70.58％,and 40.83％,respectively.The incidences of central line-associated bloodstream infection(CLABSI),catheter-associated urinary tract infection(CAUTI),and ventilator-associated pneumonia(VAP)were 0.54‰,0.33‰,and 1.84‰,respectively.A total of 131 strains of pathogens were detected,of which Gram-negative bac-teria accounted for 38.17％and Gram-positive bacteria accounted for 29.77％.The top three pathogens were Kleb-siella pneumoniae(15.27％),Enterococcus faecium(11.45％),and Acinetobacter baumannii(9.16％).Conclusion Effective prevention and control measures should be taken based on the characteristics of HAI in the liver transplan-tation ICU,so as to curb bacterial resistance and reduce liver post-transplantation HAI.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*