Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

Objective To construct a symptom network in patients with acute type A aortic dissection(ATAAD),so as to provide theoretical basis for the screening of dissection ATAAD during emergency pre-screening triage.Methods There were 433 patients diagnosed with ATAAD during 2019 to 2023 in an emergency department of a tertiary hospital in Wuhan.Their basic information and medical records were reviewed by self-designed data questionnaire.UCINET6.0 software was used to construct a symptom network,analyze the centrality index and determine the core symptoms.Symptom distribution of patients with positive and negative blood pressure in extremities was analyzed in the further.Results The most common symptoms in patients with type A aortic dissection were chest pain(77.37％),back pain(42.96％),and sweating(29.79％).In the symptom network,chest pain had the highest degree(rs=659).The closeness of chest pain,chest tightness,shortness of breath,back pain,nausea and vomiting,limb numbness and fatigue were same(rc=93.33).Fatigue has the highest betweenness(rb=13.69).Patients with positive limbs blood pressure mainly reported chest pain(70.17％),back pain(44.96％),and nausea and vomiting(19.33％),while those with negative limb blood pressure mainly reported chest pain(63.64％),back pain(63.64％),and orosphyalgia(39.40％).Orosphyalgia had the highest degree(rs=20).Conclusion The symptoms of ATAAD are complex and varied in patients.During triage,nurses should measure the limb blood pressure when patients complained chest pain alone or when combined with other hypoperfusion symptoms,such as back pain,chest tightness,sweating,near-death sensation,and shortness of breath.Aortic dissection cannot be ruled out in patients with negative blood pressure when they had chest pain,back pain or orosphyalgia.

In order to integrate clinical data, image data, and omics data scattered across different systems, and effectively support clinical research based on real-world data, a hospital has integrated Hadoop big data processing technology with distributed parallel database technology to build a data storage and calculation system that integrates lakes and warehouses. Through the integration of 15 medical information system data, data governance based on patient master indexes, and the design and development of an application platform that covered 8 major functions and integrated general scientific research and specialized disease applications, the hospital has built an integrated scientific research big data platform, which included 3.3 billion pieces of data from 20.26 million patients and 98.57 million visits, and has built 3 specialized disease databases. From January to August 2024, it has supported data extraction and analysis for 35 research projects, reducing traditional code-based data retrieval time from 5-45 workdays to several hours or even minutes, significantly enhancing the efficiency of clinical research.

Objective To explore the effectiveness of a hospital-to-home transitional health management program for caregivers of children with severe encephalitis,aiming to provide a reference for optimizing transitional care models for these patients.Methods A convenience sampling method was used to select 84 children with severe encephalitis and their caregivers admitted to the neurology department of a tertiary hospital in Zhengzhou between March 2023 and June 2024.According to the admission time,they were divided into an experimental group and a control group,with 42 cases in each group.The experimental group received a hospital-to-home transitional health management program in addition to routine care,while the control group received standard care and discharge instructions.Differences in caregivers' perceived benefits,caregiver burden,disease management ability,and post-intervention outcomes of the children were compared between the 2 groups before and after the intervention.Results All 42 participants in both groups completed the study.After the intervention,the experimental group reported higher perceived benefits of(91.29±9.76)compared to(84.81±12.86)in the control group,lower caregiver burden of(48.55±7.15)compared to(54.71±11.23)in the control group,greater disease management ability of(41.83±4.97)than(37.79±5.23)in the control group,and lower difficulty in disease management of(31.52±7.82)compared to(34.55±3.96)in the control group,with all differences being statistically significant(P＜0.05).No statistically significant difference was found in the prognosis of the children between the 2 groups(P=0.500).Conclusion The hospital-to-home transitional health management program can effectively enhance caregivers'perceived benefits and disease management capabilities,reduce their caregiving burden,and provide scientific evidence for optimizing transitional care for children with severe encephalitis.

Objective To explore the effect of a health behaviour intervention program based on health action process approach(HAPA)on patients after implantation of a pacemaker.Methods Convenience sampling was conducted to select 154 patients who had implantation of a pacemaker in our hospital as research subjects.A random table was used to divide the patients into a control group and an trial group,with 77 patients per group.Patients in the control group were treated with conventional care and issued with exercise brochures,while the patients in the trial group were treated with conventional care with a HAPA-based health behaviour intervention program for 3 months.Both groups were evaluated using the rehabilitation exercise adherence questionnaire and the adult health self-management ability assessment scale before the intervention,at 3 and 6 months after the intervention.Cardiopulmonary function of the patients in both groups was assessed by 6-minute walk test.Results After 3 months and 6 months of intervention,the scores of rehabilitation exercise compliance and self-management ability of the patients in the trial group were better than those in the control group.The difference between the two groups was statistically significant(P<0.05).Six months after discharge,the 6-minute walking distance(6MWD)of the patients in the trial group was longer than that of the control group,and the difference between the two groups was statistically significant(P<0.05).Conclusion The health behaviour intervention program based on the HAPA enhances the exercise compliance in patients who were implanted with a pacemaker,as well as improves the self-management behaviour and cardiopulmonary function.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

AIM:A strain was isolated and identified as the H3N8 subtype of the avian influenza virus from a sick chicken at a farm in Yangjiang,Guangdong Province,named A/chicken/Yangjiang/552/2023(abbreviated as YJ/552).The aim of this research is to determine its genetic evolution,biological properties and pathogenicity in hamsters.This study may provide a theoretical strategy for preventing and treating the H3N8 subtype avian influenza virus-induced epidemic.METHODS:A strain of H3N8 avian influenza virus from chickens was characterised by phylogenetic analy-sis,antigenic diversity,receptor-binding specificity,neuraminidase activity,replication,and transmission in hamsters and a systematic pathological analysis was conducted.RESULTS:This novel avian influenza virus was generated through complex recombination of Eurasian avian H3 genes,North American avian N8 genes and six internal genes of H9N2 sub-type AIV.The cleavage site of the outer protein,HA,was PEKQTR↓GLF,which is characteristic of the low pathogenic avian influenza virus.The HA gene of YJ/552 exhibited the highest nucleotide homology with A/China/ZMD-22-2/2022(H3N8)at 99.09%,while the NA gene showed the highest homology with A/chicken/Dongguan/879/2022(H3N8)at 99.01%.This strain preferentially binds to avian-type receptors and could bind to human-type receptors.This virus could effectively replicate in the trachea and lungs of inoculated and contact hamsters.CONCLUSION:YJ/552 is a recombi-nant H3N8 avian influenza virus replicated in the upper respiratory system and transmitted in hamsters.This study pro-vides data support for the early warning and prevention of H3 subtype avian influenza viruses.

Objective:To investigate the effect of polystyrene microplastics(PS-MPs)combined with high-fat treatment on vascular endothelial cells.Methods:Human umbilical vein endothelial cells(HUVECs)were cultured in the DMEM medium containing 5%fe-tal bovine serum.HUVECs were treated with conventional culture,high-fat treatment,and PS-MPs combined with high-fat treatment.The experiment was conducted in the three groups of control group,high-fat treatment group and PS-MPs+high-fat treatment group.CCK-8 assay was used to measure cell viability,F-actin staining was used to observe cell morphological changes,and flow cytometry,scratch assay,and tube formation assay were used to measure the apoptosis,migration,and tube-forming ability of cells.Results:After HUVECs were exposed to the high-fat environment,there was a significant reduction in cell viability,shrinkage of cells,a signifi-cant increase in cell apoptosis,and significant reductions in cell migration and tube-forming ability.Compared with the high-fat treat-ment group,there were no significant changes in cell viability,cell morphology,cell apoptosis,and cell migration ability after PS-MPs combined with high-fat treatment,but the tube-forming ability of cells was further impaired.Conclusion:High-fat treatment will affect cell viability,change cell morphology,and damage vascular endothelial cell function,and PS-MPs combined with high-fat treat-ment can aggravate the damage of vascular endothelial cell function.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.