ObjectiveTo investigate the current status of ethical sensitivity among clinical nursing interns in the context of artificial intelligence （AI） and analyze its influencing factors. MethodsAdopting mixed research methods and convenience sampling， a total of 237 nursing interns from a tertiary A hospital in Xi’an were selected as research subjects. Data were collected using a general information questionnaire and the Nursing Students’ Ethical Sensitivity Scale， and semi-structured interviews were conducted with 8 nursing interns. ResultsThe total score of ethical sensitivity among nursing interns was （33.98±6.32）， which was at a moderate level. Multiple linear regression analysis revealed that academic degree （undergraduate： β=0.147， P<0.05； postgraduate： β=0.139， P<0.05）， affinity for the nursing profession （β=0.118， P<0.05）， whether they had taken nursing ethics courses （β=-0.124， P<0.05）， and familiarity with artificial intelligence （β=-0.159，P<0.05） were influencing factors of ethical sensitivity among nursing interns. Four themes were extracted from semi-structured interviews， namely， the incomplete mastery of nursing ethics-related knowledge among nursing interns， weakened ethical sensitivity in the AI teaching scenario of nursing interns， insufficient professional identity affecting the development of nursing interns’ ethical sensitivity， and technological dependence leading to the lack of humanistic care among nursing interns. ConclusionEthical sensitivity of nursing interns represents a moderate level， primarily influenced by educational background， degree of fondness for the nursing profession， learning experience of nursing ethics courses， and familiarity with AI. Nursing educators and clinical administrators urgently need to establish a sustainable school-hospital collaborative model of nursing ethics education， attach importance to the cultivation of ethical awareness and value guidance for nursing interns， and strengthen the intensity and depth of nursing ethics education among nursing interns， thereby improving their level of ethical sensitivity in the context of AI.

ln the context of the high-quality development of public hospitals,research management is transitioning from a results-oriented approach to a full-process management model,necessitating the exploration of a governance system that integrates topic guidance,process support,and outcome transformation.Based on the Knowledge-to-Action and SECl model,it analyzes the construction logic and application effectiveness of the nursing research rounds mechanism at a teritary grade A hospital in Hainan Province.Through a"three-tier stratification+dual-track collaboration+full-process closed-loop"design,the mechanism bridges the chain from"clinical problem identification to research path optimization to outcome transformation",significantly enhancing research participation,research plan standardization,and research output.The findings validate the practical value of the research rounds mechanism in promoting knowledge transformation,capability enhancement,and organizational knowledge retention.

Objective:To construct four recombinant hemagglutinin (HA) antigens from seasonal influenza viruses and evaluate their immunogenicity in mouse models.Methods:HA coding sequences from four seasonal influenza virus strains Wisconsin (H1N1), Darwin (H3N2), Austria (B/Victoria lineage, BV) and Phuket (B/Yamagata lineage, BY) were optimized and synthesized, and then used to construct four recombinant plasmids. Recombinant baculoviruses were obtained through transformation and transfection. The expression of recombinant HA antigens was identified by SDS-PAGE and Western blot. The recombinant HA antigens were purified by nickel column affinity chromatography and intramuscularly administered to BALB/c mice after formulation with Al(OH) 3 or AddaVax adjuvant. Humoral immune responses were assessed by indirect ELISA and hemagglutination inhibition test, while cellular immune responses were evaluated by ELISPOT. Microneutralization test was used to detect the titers of serum antibodies in mice. Statistical analysis was performed using t test or non-parametric rank sum test. Results:PCR amplification and agarose gel electrophoresis confirmed the correct construction of the recombinant bacmids. Western blot showed verified the successful expression of the four recombinant antigens (H1-HA, H3N2-HA, BV-HA, and BY-HA). SDS-PAGE results showed that the purity of all four recombinant HA antigens exceeded 95%. After three-dose immunization, the total IgG levels in mice immunized with the recombinant H1N1-HA, H3N2-HA, or BV-HA formulated with AddaVax adjuvant were higher than those in the corresponding groups immunized with the same recombinant antigen alone (all P<0.05). The secretion levels of IFN-γ, IL-2, and IL-4 in the group receiving the mixture of all four recombinant HA antigens formulated with AddaVax adjuvant were higher than those in the group immunized with a commercial quadrivalent split influenza vaccine (all P<0.01). Results of the microneutralization test showed that the antibody titer in the quadrivalent split influenza vaccine group was 1∶225, whereas the titer in the group immunized with the mixture of four recombinant HA antigens formulated with AddaVax adjuvant could reach up to 1∶1 200. Conclusions:In this study, four recombinant seasonal influenza virus HA antigens are successfully expressed and demonstrated good immunogenicity in mice when formulated AddaVax adjuvant.

Objective:To investigate clinical characteristics, treatment approaches, and prognosis of drug-induced hypersensitivity syndrome (DIHS) in children.Methods:A retrospective analysis was performed on clinical data from pediatric inpatients with DIHS in Department of Dermatology, Beijing Children's Hospital from 2009 to 2023. The clinical data included demographic characteristics, clinical manifestations, laboratory findings, treatment regimens, and outcomes.Results:A total of 103 children with DIHS were included, comprising 54 males (52.4%) and 49 females (47.6%), with ages ( M [ Q1, Q3]) of 2.3 (1.2, 4.5) years. Primary causative drugs were antibiotics (52 cases, 45.2%), antiepileptic drugs (41 cases, 35.7%), and nonsteroidal anti-inflammatory drugs (19 cases, 16.5%), with a median latency period of 12 days. All patients presented with rashes, including 72 (69.9%) with maculopapular rashes, 69 (67.0%) with edema (including 46 with facial edema). Lip involvement occurred in 25 cases (24.3%), and mucosal involvement was noted in 11 cases (10.7%). Additionally, 102 (99.0%) patients had fever, and 79 (76.7%) presented with lymphadenectasis. Eosinophilia was present in 64 cases (62.1%). Among 84 patients tested for atypical lymphocytes, 51 (60.7%) showed elevated percentages of atypical lymphocytes. Liver involvement was noted in 94 cases (91.3%), followed by pulmonary involvement in 31 (30.1%), gastrointestinal symptoms in 25 (24.3%), cardiac involvement in 14 (13.6%), renal involvement in 10 (9.7%), and pancreatic involvement in 7 cases (6.8%). Among 82 patients tested for blood immunocytes, 49 (59.8%) showed decreased percentages of B lymphocytes, and 69 (84.1%) showed decreased percentages of natural killer cells. Of 88 patients tested for serum immunoglobulins, 40 (45.5%) showed decreased IgA levels. Among 20 patients tested for serum cytokines, 15 (75.0%), 15 (75.0%), 13 (65.0%), and 12 (60.0%) showed elevated levels of interleukin (IL) -5, IL-6, IL-10, and interferon-γ, respectively. All patients received systemic glucocorticoid therapy, among whom 86 additionally received intravenous immunoglobulin therapy, 4 received Janus kinase inhibitors, and 3 received dupilumab. Five patients died, 9 developed hemophagocytic lymphohistiocytosis, 6 developed bronchiolitis obliterans, and 5 experienced long-term immune-related sequelae. Conclusions:Among these children with DIHS, antibiotics were the most common causative drugs, and the latency period could be shorter than 2 weeks. In addition to the common involvement of the liver and lungs, gastrointestinal and cardiac impairments were relatively frequent, while renal involvement was rare. Immunological features included decreased percentages of B lymphocytes and natural killer cells, reduced IgA levels, and elevated levels of cytokines such as IL-5, IL-6, IL-10, and interferon-γ.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the impact of virtual reality combined with body weight-supported treadmill training on phantom limb pain,lower limb dynamics,gait stability,balance func-tion,and quality of life in amputees.Methods A prospective study enrolled 100 unilateral lower limb amputees as participants,who were randomly divided into experimental group(n=50)and con-trol group(n=50).The experimental group received virtual reality combined with body weight-sup-ported treadmill training,while the control group received conventional rehabilitation training.Out-comes,including phantom limb pain intensity[Visual Analogue Scale(VAS),Douleur Neuropathique 4 Questions(DN4)scores],lower limb dynamics[vertical ground reaction force(Fz),anteroposterior ground reaction force(Fy),joint moments],gait parameters,static balance(Berg Balance Scale score),dynamic balance(stability time,proportion of gait support time),quality of life[12-Item Short-form Health Survey(SF-12)score],and activities of daily living[Modified Barthel Index(MBI)score]were assessed before intervention and at 4,8,and 12 weeks post-intervention.Results At 4,8,and 12 weeks post-intervention,the experimental group exhibited significantly lower VAS and DN4 scores compared to baseline and the control group(P＜0.05).Gait speed,stride length,ca-dence,stance time,Berg Balance Scale score,stability time,and proportion of gait support time improved in the experimental group compared to baseline and the control group(P＜0.05).SF-12 score,MBI score,peak Fz,peak Fy,knee flexion moment,ankle abduction moment,and stance phase proportion also increased significantly in the experimental group compared to baseline and the control group(P＜0.05).Conclusion Virtual reality combined with body weight-supported tread-mill training effectively alleviates phantom limb pain,improves lower limb dynamics,gait stability,and balance function,and enhances quality of life in amputees.

Objective:To investigate the factors influencing the delayed onset of intrapartum fever following epidural labor analgesia and their impact on maternal and neonatal outcomes.Methods:Select parturients who experienced intrapartum fever following labor analgesia(T≥38.0℃,age≥18 years,singleton pregnancy,ASA classification Ⅱ)between January 1,2021,and December 31,2023.Group them based on the median time of intra-partum fever onset after labor analgesia:those with onset times less than the median were classified as the ear-ly-onset fever group,and those with onset times greater than the median were classified as the late-onset fever group.Using univariate and multivariate Logistic regression analysis to explore factors influencing the delay in in-trapartum fever onset and the pregnancy outcomes of the mothers and newborns in both groups.Results:A total of 253 parturients were included,and the time range of onset of intrapartum fever following epidural labor analgesi-a was 1.83-28.42 hours,with a median fever onset time of 8.00 hours.There were 126 cases in the early-onset group and 127 in the late-onset group.Multivariate Logistic regression analysis indicated that primiparous women,artificial membrane rupture,and neonatal birth weight were independent risk factors for delayed fever onset(OR＞1,P＜0.05),whereas the administration of oxytocin prior to labor analgesia was found to be a protective factor(OR＜1,P＜0.05).The late-onset group exhibited higher levels of white blood cells(WBC),C-reactive pro-tein,longer hospital stays,higher hospitalization costs,greater diagnosis rates of chorioamnionitis,higher NICU ad-mission rates,as well as a higher incidence of neonatal pneumonia,for newborns compared to the early-onset group(P＜0.05).Conclusions:Primiparous women,artificial membrane rupture,and higher neonatal birth weight may be associated with delayed onset of intrapartum fever,while oxytocin administration prior to labor analgesia may offer some protective benefit.The later the onset of intrapartum fever,the worse the clinical outcomes for both mother and infants.

Pasteurella is a genus of zoonotic pathogens that are widely distributed in both healthy and diseased ani-mals.Reports of human infections caused by wild animal bites are rare.This paper reports the first case of Pasteu-rella multocida infection caused by a snow leopard bite in China.The strains were identified using the DL-96 Ⅱ bac-terial identification system,BRUKER automatic microbial mass spectrometer,and Autof ms 1000 mass spectrome-ter.Antimicrobial susceptibility testing was performed using the DL-96 Ⅱ bacterial assay system.After wound de-bridement,surgical incision and drainage,and combined antimicrobial treatment,the patient recovered and was dis-charged from the hospital.This paper aims to improve clinical health care workers'understanding on this bacterium.

Objective To develop a toolkit suitable for assisting community health institutions in the early identification and inter-vention of mild cognitive impairment(MCI)among older adults.Methods A literature review was conducted to construct a draft of the identification and intervention toolkit.Tools with an expert approval rate above 70%were included after expert consultation.The final version of the toolkit was developed by integrating these tools with officially recommended tools in China.Results The expert consultation yielded an authority coefficient of 0.84.The finalized toolkit included the assessment tools of Mini-Mental State Examination,Montreal Cognitive Assessment,General Practitioner Assessment of Cognition,Cognitive Abilities Screening Instrument and Clock Drawing Test,and 18 intervention measures in-cluding pharmacological treatment,cognitive training and psychological interventions,etc.Conclusion The MCI Identification-Intervention Toolkit may serve as a reference for guiding the identification and inter-vention of MCI among older adults for community health institutions.

Objective:To evaluate the performance of the neural network model in segmenting gout tophus in the first metatarsophalangeal（MTP1）joint ultrasound images.Methods:A total of 1 218 tophus images from 381 patients who underwent MTP1 ultrasound examinations in the Affiliated Hospital of Qingdao University between May 2023 and December 2024 were prospectively collected. The images were divided into training，validation，and test sets in a ratio of 7∶2∶1. Multiple neural network models were trained to automatically identify and segment tophus in the images，with physician-annotated tophus regions serving as the reference standard. Model performance was evaluated in the test set，and the impact of tophus characteristics（e.g.，echogenicity，size，and presence of bone erosion）on segmentation efficacy was analyzed.Results:In the test set，CMUNeXt demonstrated superior tophus segmentation performance versus Unet，Unet++，TransUnet，and CMU-Net，achieving an accuracy of 99.1%，precision of 79.1%，recall of 84.6%，intersection over union of 68.8%，and Dice similarity coefficient of 80.2%. Logistic regression identified tophus echogenicity，size，and bone erosion as independent efficacy factors OR（95% CI）=7.275（1.598-33.129），21.303（4.282-105.985），13.520（3.617-50.530），0.076（0.007-0.823）（all P<0.05）. Hypoechoic tophus demonstrated significantly superior segmentation performance compared to mixed-echoic and isoechoic tophus（all P<0.05），and lesions with larger maximum diameters（>10 mm）were segmented more effectively than smaller tophus（ P<0.05）. Conclusions:The CMUNeXt model enables accurate identification and segmentation of tophus in MTP1 ultrasound images，particularly excelling for larger and hypoechoic lesions. This approach holds significant promise for AI-assisted diagnosis of MTP1 gouty arthritis.