Objective To evaluate the effect of remimazolam premedication on emergence delirium （ED） in children undergoing tonsillectomy and/or adenoidectomy. Methods Children aged 3-6 years who underwent tonsillectomy and/or adenoidectomy with general anesthesia in Zhongshan Hospital Affiliated to Xiamen University from July 2023 to September 2024 were randomly divided into 0.1 mg/kg remimazolam group （group R1）, 0.2 mg/kg remimazolam group group R2） and normal saline group （group P）. Three groups were sedated preoperatively with remimazolam 0.1 mg/kg, remimazolam 0.2 mg/kg and normal saline, respectively. The primary outcome was the incidence of ED. The secondary outcomes included the parental separation anxiety scale （PSAS） score when entering the operating room, the induction compliance checklist （ICC） score at induction, the anesthetic recovery time, the incidence of rescue propofol for ED, the face, legs, activity, cry, and consolability （FLACC） score and the incidence of postoperative pain during the recovery period, the incidence of adverse reactions during the operation and postoperatively, and the incidence of negative postoperative behavioral changes （NPOBCs） at first day, 7th day, 30th day postoperatively. Results A total of 119 children completed the study, including 41 children in group R1, 38 children in group R2, and 40 children ingroup P. The incidence of ED and propofol rescue, the PSAS scores and ICC scores of group R1 and R2 were lower than that of group P （P<0.05）, and the above results in group R2 was better than those in group R1 （P<0.05）. The FLACC score, the incidence of postoperative pain, and the incidence of adverse reactions among the three groups had no difference （P>0.05）. The incidence of NPOBCs at 1st day and 7th day postoperatively in group R1 and group R2 was lower than that in group P （P<0.05）, but no difference was detected at 30th day postoperatively among the three groups （P>0.05）. Conclusion Remimazolam used for preoperative sedation could reduce the incidence of ED in children undergoing tonsillectomy and/or adenoidectomy, and had a positive effect on alleviating the preoperative anxiety and preventing NPOBCs.

Hepatocellular carcinoma(HCC),as the most common type of liver cancer,poses a significant threat to global public health due to its high incidence and mortality rates.This paper delves into the etiology,pathogenesis,and syndrome differentiation of liver cancer from the perspective of"dispersing qi and fortifying the body resistance",based on the clinical experience of renowned traditional Chinese medicine(TCM)practitioner,Prof.Changquan Ling.Prof.Ling believes that the development of liver cancer is closely related to the disruption of liver qi flow,the accumulation of blood stasis over time,and the generation of toxin from long-term stagnation,accompanied by pathological changes such as imbalance of yin and yang,deficiency of the body's vital qi and accumulation of pathogenic factors,and internal blazing of cancer toxins.In terms of treatment,he emphasizes the principles of dispersing qi and fortifying the body resistance,addressing both the root cause and symptoms.This is achieved by regulating the functions of viscera,improving the stagnation of qi flow,and supplemented by methods such as clearing heat and detoxifying,and softening and dispersing hard masses,aiming to break the vicious cycle of qi stagnation,deficiency of vital qi,and pathogenic factor generation,thereby promoting the recovery from the disease.Through detailed analysis of clinical cases,this paper demonstrates Prof.Ling's unique insights and significant efficacy in treating liver cancer through"dispersing qi"to"fortify the body resistance",ultimately achieving"tumor suppression".This provides new references and perspectives for the clinical diagnosis and treatment of liver cancer in TCM.

WDFY1 is a member of the protein family containing the WD repeat and FYVE structural domains,acting as a junction that assists the recruitment of downstream molecules by Toll-like receptor 3/4(TLR3/TLR4)and promotes the body's natural anti-viral and anti-bacterial immune response.In recent years,the role of WDFY1 has been successively reported in various disease models,such as neurological diseases,autophagy and tumors.This paper aims to provide a comprehensive review of the current state of WDFY1 research,encompassing its expression distribution,cell biological function and its role in disease development,and take a prospect on the potential of WDFY1 as a target in rheumatoid arthritis.

The current situation of the in vitro diagnostic(IVD)reagent management was described,and a standard dictio-nary library of IVD reagents was constructed.An IVD reagent catalog information management system with the functions of management and price comparison was introduced in terms of its development process and application effect.Some mainte-nance and management measures for IVD reagent standard dictionary library were put forward including the establishment of an IVD reagent catalog management group and regular data maintenance and updating.References were provided for solving the problems due to the inconsistency of reagent catalog management and medical devices and materials without medical insurance codes in multi-campus medical institutions.[Chinese Medical Equipment Journal,2025,46(4):88-92]

Objective:To develop PixelSIFT-UNet, a novel semantic segmentation model that integrates deep learning with scale-invariant feature transform (SIFT) algorithm to improve the segmentation accuracy of oral mucosal lesions.Methods:This investigation utilized 838 standard clinical white light images of oral mucosal diseases acquired from January 2020 to December 2022 at the Stomatology Hospital Zhejiang University School of Medicine. Randomization was achieved through Python′s random.seed function implementation. The random sample function was subsequently applied for sampling distribution. The dataset was stratified into three subsets with a 6∶2∶2 ratio: training ( n=506), validation ( n=166), and testing ( n=166). Lesion boundaries were annotated using Labelme software, and a PixelSIFT-UNet-based deep learning model was developed with VGG-16 and ResNet-50 backbone networks. Model parameters were optimized using the validation set, and performance metrics [including Dice coefficient, mean intersection over union (mIoU), mean pixel accuracy (mPA), and Precision] were assessed on the test set. The model′s performance was benchmarked against conventional semantic segmentation frameworks (U-Net and PSPNet). Results:The developed PixelSIFT-UNet model could achieve precise segmentation of three common oral mucosal lesions: oral lichen planus, oral leukoplakia, and oral submucous fibrosis. Utilizing VGG-16 as the backbone network, the model achieved Dice coefficient, mIoU, mPA, and Precision values of 0.642, 0.699, 0.836, and 0.792, respectively. Implementation with ResNet-50 backbone network yielded metrics of 0.668, 0.733, 0.872 and 0.817, demonstrating significant improvements across all performance indicators compared to conventional U-Net model (relevant metrics: 0.662, 0.717, 0.861 and 0.809) and PSPNet model (relevant metrics: 0.671, 0.721, 0.858 and 0.813).Conclusions:The proposed PixelSIFT-UNet architecture demonstrates superior performance in oral mucosal lesion segmentation tasks, surpassing conventional semantic segmentation models and providing robust quantitative improvements in segmentation accuracy.

Objective To investigate the types of latent profiles and influencing factors of knowledge,attitudes and practice(KAP)in curriculum-based ideological and political education in undergraduate nursing students and to provide evidence for design of ideological and political courses tailored to different types of nursing undergraduates.Methods A convenience sampling method was used to recruit 671 undergraduate nursing students from our school between March and July 2024.Data were collected using a general data survey form,a KAP questionnaire on nursing curriculum-based ideological and political education,a professional identity survey for nursing undergraduates,and the Jefferson empathy scale nursing student edition(JSPE-NS).Latent profile analysis(LPA)was conducted using 22 items of the KAP questionnaire as observed variables,and a logistic regression analysis was used to assess the influencing factors of different KAP latent profiles in ideological and political education.Results A total of 663 nursing undergraduate students completed the survey.They spread in three latent groups:a mediocre group(172/663,25.9%),a competent group(378/663,57.0%),and an exceptional group(113/663,17.1%).From a single-child family,grade point average(GPA),professional identity and empathy were identified as the factors that influenced KAP latent profiles in curriculum based ideological and political education among the undergraduate nursing students(all P<0.05).Conclusion There exists a heterogeneity in KAP in curriculum based ideological and political education among the undergraduate nursing students.Nursing educators should develop targeted enhancement measures according to the characteristics of latent profile groups therefore to facilitate the comprehensive development of the undergraduate nursing students.

Objective We aimed to evaluate the efficacy and safety of Shengxuebao Mixture in the treatment of cancer-related anemia(CRA)presenting with syndrome of deficiency of liver and kidney combined with syndrome of deficiency of both qi and blood.Methods A randomized,double-blind,placebo-controlled,multicenter clinical trial was conducted.Eligible patients with malignant tumors meeting the inclusion and exclusion criteria were enrolled from 26 hospitals,including Dongzhimen Hospital,Beijing University of Chinese Medicine,Xiaogan Central Hospital,and Yangzhou Hospital of Traditional Chinese Medicine,from June 1,2022,to September 30,2024.Patients were allocated 1:1 to either the experimental group receiving Shengxuebao Mixture or the control group receiving its simulator(placebo)using a block randomization method under double-blind conditions.Both groups received 15 mL orally three times daily for 28 consecutive days.The primary efficacy indicators included the hemoglobin(Hb)improvement rate(RHb)and the traditional Chinese medicine(TCM)syndrome improvement rate(RTCM)at week 4 of treatment.The secondary efficacy indicators encompassed Hb and red blood cell(RBC)count,Karnofsky Performance Status(KPS)score,TCM syndrome score,individual TCM symptom scores,and changes in each of these indicators compared to the baseline period at weeks 2,4,and 6 of treatment.Safety evaluations were conducted at week 4 of treatment.Results A total of 239 patients were enrolled,with 225 cases included in the Full Analysis Set(FAS)(109 in the experimental group vs.116 control group),163 in the Per Protocol Set(PPS)(77 vs.86),and 225 in the Safety Set(SS)(109 vs.116).Baseline characteristics between groups showed no significant differences.Significant differences were observed between the experimental and control groups in RHb at week 4(FAS:49.51%vs.35.24%,P<0.05;PPS:53.25%vs.36.05%,P<0.05)and RTCM at week 4(FAS:61.54%vs.39.62%,P<0.01;PPS:64.94%vs.40.70%,P<0.01).At weeks 2,4,and 6,the experimental group showed greater improvements in Hb and RBC counts than the control group.Additionally,the TCM syndrome scores were lower in the experimental group than in the control group at these time points.Except for week 2 in PPS,the KPS improvement was better in the experimental group than in the control group(P<0.05).The experimental group also demonstrated a greater reduction in scores for individual TCM symptoms such as spiritlessness and weakness,poor appetite and reduced food intake at weeks 4 and 6 compared to the control group(P<0.05,P<0.01).Furthermore,the reduction in vertigo score was more pronounced in the experimental group at week 6(P<0.01).For the score of pale and lusterless complexion,only in the PPS was the reduction from baseline more significant in the experimental group than in the control group at weeks 4 and 6(P<0.05).No significant differences were observed between the experimental and control groups in the incidence of all adverse events or drug-related adverse reactions.Conclusion Shengxuebao Mixture demonstrates significant efficacy in patients with CRA presenting syndrome of deficiency of liver and kidney combined with syndrome of deficiency of both qi and blood,effectively increasing Hb levels,ameliorating TCM syndromes,alleviating clinical symptoms,and enhancing functional status,with no significant difference in adverse drug reactions compared to the placebo.

Objectives:To analyze the correlation between the the body shape index(ABSI)and all-cause mortality(ACM)as well as cardiovascular mortality(CVM)in patients with acute heart failure.Methods:This study analyzed data from the National Registration Study of Major Chronic Diseases,a prospective cohort on heart failure.A total of 4 907 patients with acute heart failure were enrolled from multiple centers nationwide,of which 4 375 were eligible for this study.The relationships of between body mass index(BMI),waist circumference,and ABSI with ACM and CVM were assessed using multivariable cox proportional hazards models.Results:The mean age of the patients was(65.0±13.4)years,62.3%was male.The median follow-up time was 4.6(4.59,4.65)years,there were 1 972(45.1%)ACM and 1 400(32.0%)CVM.Multivariable cox regression analysis showed that higher ABSI was associated with an increased risk of mortality.Compared to the second quartile of ABSI,the hazard ratio(HR)for the highest(fourth)quartile were 1.29(95%CI:1.14-1.46,P<0.05)for ACM and 1.23(95%CI:1.06-1.43,P<0.05)for CVM.In contrast,BMI and waist circumference were inversely associated with risks of both ACM and CVM.Conclusions:ABSI can more intuitively reflect the correlation between obesity and death in patients with heart failure than BMI and waist circumference,which has important clinical significance.

Objective To develop a precise and efficient single-disease management model to reduce the intensity of antibiotic use.Methods Data was collected from surgical inpatient admissions at the Shanghai Pulmonary Hospital between Jan 2022 and Mar 2024.The study focused on the six most prevalent types of malignant tumors within single-disease management.Surgical patients who did not receive single-disease quality management from Jan 2022 to Jun 2023 were designated as the control group,while surgical patients who received single-disease quality management from Jul 2023 to Mar 2024 served as the management group.By formulating and implementing standardized policies and guidelines for antibiotic use,supervision and effect evaluation were conducted across departments.Results A total of 21 746 individuals were included in the control group and 15 635 in the management group.Following the introduction of the single-disease management model,the proportion of non-restricted antibiotics used in various single diseases increased from 73.2%-77.0%before management to 78.3%-84.4%after management,while the usage of restricted antibiotics significantly decreased(P<0.001).The intensity of antibiotic use,measured in defined daily doses(DDDs),fell significantly from 113.0-159.9 before management to 36.0-44.0 after management(P<0.001).Moreover,compared with the control group,the average length of stay in the intervention group did not change considerably,although the length of stay increased for some diseases,possibly due to more precise medication adjustments.Conclusion The single-disease management model optimizes antibiotic use,reduces the intensity of antibiotic use,and enhances overall medical quality and patient safety.

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.