This article highlights the limitations of traditional treatment methods for non-muscle-invasive bladder cancer and the multi-dimensional exploration of emerging strategies.It firsty reviews the history and challenges of BCG immunotherapy,pointing out its bottlenecks in efficacy,tolerance,and supply,and focuses on its chemicobiological modifications,such as the optimization of nanoparticle drug delivery systems and immune-active components.Subsequently,it summarizes the development of various new treatment approaches,including gene therapy,photodynamic/sonodynamic therapy,chemodynamic therapy,and proteolysis-targeting chimeras for targeted protein degradation strategies.It particularly emphasizes the enhancement of drug delivery efficiency and targeting in the bladder through nanotechnology,aptamer-mediated systems,and biomimetic carriers.The treatment of bladder cancer is gradually transforming from local and single-mode to precise,synergistic,and low-toxicity directions,with chemicobiological means playing a core role in driving this transformation.Interdisciplinary integration provides a broad space and new hope for the treatment of bladder cancer.

OBJECTIVE To explore the time windows for postoperative pneumonia in patients undergoing different surgeries,providing evidence-based references for optimizing infection monitoring and prevention and control strategies.METHODS Sociodemographic characteristics,clinical information and surgical details of 263 patients with postoperative pneumonia from four different types of medical institutions between Jan.2019 and Dec.2024 were retrospectively collected.The time windows for postoperative pneumonia in patients undergoing different surgeries were analyzed.RESULTS There were no statistically significant differences in the time windows for post-operative pneumonia among groups in terms of sociodemographic factors and underlying diseases.However,sta-tistically significant differences were observed in the time windows for postoperative pneumonia based on surgery type,incision type,surgical approach and surgery duration(P＜0.05).The average time for the onset of postop-erative pneumonia in 263 patients was 2.00(1.00,7.00)days.The postoperative time windows varied for sur-geries involving different systems.The peak incidence occurred on day 0(16 cases)and day 1(17 cases)af-ter neurological surgery,while the peak incidence for digestive system and orthopedic surgeries was on day 1.The time span for the onset of pneumonia after skin surgeries was wider(0-53 days postoperatively)without a clear peak.In addition,33.33％of cardiovascular system surgery cases developed pneumonia 10 days postoperatively.There were also significant time differences in the diagnostic elements of postoperative pneumonia,with fever and abnormal white blood cell counts appearing earlier(median appearance time length:4.00 days)than lung imaging changes(median appearance time length:7.00 days).CONCLUSIONS This study demonstrates significant time differences in the on-set of postoperative pneumonia and confirms the significant spatiotemporal heterogeneity in the diagnostic elements of postoperative pneumonia.These findings provide a quantitative basis for developing dynamic,surgery-type-spe-cific monitoring protocols and prevention and control measures for postoperative pneumonia.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective To explore the factors that influence major adverse cardiovascular events(MACE)in atrial fibrillation(AF)patients undergoing radiofrequency ablation(RFA),as well as to compare the prognosis of patients with advanced AF to that of the general population.Methods We prospectively recruited AF patients who underwent RFA treatment at Peking University Third Hospital between January 2021 and March 2023.General patient data were collected through the hospital's inpatient system,and MACE were tracked through outpatient visits and telephone follow-ups.Patients were categorized into three age groups:Group 1(under 65 years),Group 2(65 to 75 years),and Group 3(over 75 years).In this study,MACE was defined as include cardiovascular death,all-cause death,readmission for heart failure,acute coronary syndrome(ACS),grade 2 or higher bleeding and stroke.Results A total of 431 patients were included in this study,with an average age of(66.17±12.22)years.Among these patients,259 were male(60.09％),and the mean of CHA2DS2-VASc score was(1.79±1.30).The median follow-up period was 16.0(11.3,21.3)months,during which 28(6.50％)patients experienced MACE,with ACS and stroke being the most common events.Variables were selected using LASSO regression,and a LASSO-Cox regression model was constructed.Age(HR 1.06,95％CI 1.02-1.10,P=0.006)and hypertrophic cardiomyopathy(HR 3.70,95％CI 1.27-8.68,P=0.008)were identified as independent predictors of MACE after RFA for AF.Subgroup analysis revealed that patients under 65 had significantly better prognoses compared to older AF patients(P=0.030 compared with group 2;P=0.021 compared with group 3).Conclusions Age and hypertrophic cardiomyopathy are independent risk factors for MACE in AF patients undergoing RFA.The prognosis for younger patients is better than that for older patients,while the prognosis for advanced patients is comparable to that of patients aged 65-75 years.

The scientific research and innovation capabilities of medical students are intrinsically linked to the sustained and high-quality development of national healthcare initiatives.Cultivating outstanding medi-cal students with independent scientific capabilities and innovative consciousness is a critical component in the education and training of high-level medical professionals.Our investigation revealed that within the imperfections of the cultivating model,some faculty and students at medical schools have an insufficient understanding of scientific research and innovation and lack motivation for engaging in such activities,which hinder the progression of scientific research activities.Consequently,we initiated a teaching practice and exploratory study on the"tutorial system"aimed at fostering medical students'scientific research and innovation abilities.Based on the principle of"research informing teaching,teaching and research advan-cing together,"this study implements a"tutorial system"coordinated by tutors,supplemented by graduate and undergraduate student mentors,to cultivate innovative thinking,stimulate interest in scientific re-search,and enhance practical and research skills among medical students.Through collaborative efforts within"scientific research innovation teams,"various educational methods—including preliminary re-search,in-class and extracurricular activities,intra-group and inter-group interactions,and theoretical and practical applications—are employed to improve and strengthen the cultivation of medical students'scientif-ic research and innovation abilities.This study aims to provide valuable references for optimizing medical education management systems and enhancing the quality of medical student training.

Objective To explore the factors that influence major adverse cardiovascular events(MACE)in atrial fibrillation(AF)patients undergoing radiofrequency ablation(RFA),as well as to compare the prognosis of patients with advanced AF to that of the general population.Methods We prospectively recruited AF patients who underwent RFA treatment at Peking University Third Hospital between January 2021 and March 2023.General patient data were collected through the hospital's inpatient system,and MACE were tracked through outpatient visits and telephone follow-ups.Patients were categorized into three age groups:Group 1(under 65 years),Group 2(65 to 75 years),and Group 3(over 75 years).In this study,MACE was defined as include cardiovascular death,all-cause death,readmission for heart failure,acute coronary syndrome(ACS),grade 2 or higher bleeding and stroke.Results A total of 431 patients were included in this study,with an average age of(66.17±12.22)years.Among these patients,259 were male(60.09％),and the mean of CHA2DS2-VASc score was(1.79±1.30).The median follow-up period was 16.0(11.3,21.3)months,during which 28(6.50％)patients experienced MACE,with ACS and stroke being the most common events.Variables were selected using LASSO regression,and a LASSO-Cox regression model was constructed.Age(HR 1.06,95％CI 1.02-1.10,P=0.006)and hypertrophic cardiomyopathy(HR 3.70,95％CI 1.27-8.68,P=0.008)were identified as independent predictors of MACE after RFA for AF.Subgroup analysis revealed that patients under 65 had significantly better prognoses compared to older AF patients(P=0.030 compared with group 2;P=0.021 compared with group 3).Conclusions Age and hypertrophic cardiomyopathy are independent risk factors for MACE in AF patients undergoing RFA.The prognosis for younger patients is better than that for older patients,while the prognosis for advanced patients is comparable to that of patients aged 65-75 years.

Mastitis is one of the common and prevalent diseases in dairy cows,and the natural prod-uct daidzein is a kind of natural flavonoids with a wide range of pharmacological and anti-inflam-matory effects.However,the effect of daidzein on mastitis in dairy cows has not been reported.Therefore,in this study,we explored the effects of daidzein on LPS-induced inflammatory response and tight junction damage in dairy mammary epithelial cells Firstly,we pretreated the MAC-T cell line using different concentrations of daidzein,and it was clarified that daidzein below 200 μmol/L had no effect on the cell activity.Next,we examined the production of pro-inflammatory mediators in LPS-stimulated MAC-T cell lines using qRT-PCR,and clarified that daidzein could reduce the production of pro-inflammatory mediators in a concentration-dependent manner.Subsequently,af-ter the expression of Occludin,Claudin3 and ZO-1 was detected by immunofluorescence and West-ern Blot,it was clear that daidzein could alleviate MAC-T cell intercellular tight junction injury.Fi-nally,it was demonstrated that daidzein significantly inhibited LPS-induced activation of the NF-κB signaling pathway within MAC-T using network pharmacological analysis and Western Blot.The above results suggest that daidzein can inhibit LPS-induced inflammatory response and tight junc-tion damage in mammary epithelial cells of cows by suppressing the activation of NF-κB signaling pathway.The present study provides a theoretical basis for the alleviation of mastitis by natural products and further expands the pharmacological effects of daidzein.

Objective To evaluate the diagnostic performance of the minimum-cost-path-based CT angiography-derived fractional flow reserve(MCP-FFR)and the deep learning-driven CT angiography-derived fractional flow reserve(DeepCL-FFR),and to particularly explore the potential value of the DeepCL algorithm in improving diagnostic accuracy within the"gray zone."Methods A retrospective analysis was conducted on 151 coronary vessels from 109 patients with coronary artery disease,who were hospitalized at the General Hospital of the People's Liberation Army between January 2020 and June 2021.Pearson correlation and Bland-Altman plots were employed to assess the correlation and agreement of the two CT-FFR methods with invasive FFR.A CT-FFR range of 0.70-0.80 was defined as the diagnostic"gray zone."The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value for detecting hemodynamic abnormalities were calculated and analyzed.The DeLong test was used to compare the areas under the receiver operating characteristic curves(AUC)between the two CT-FFR calculation methods.Results Both CT-FFR methods exhibited a positive correlation with invasive FFR(MCP-FFR:r=0.75,P＜0.001;DeepCL-FFR:r=0.86,P＜0.001)and showed good agreement(MCP-FFR:mean difference=0.010,P=0.351;DeepCL-FFR:mean difference=-0.003,P=0.772).Both DeepCL-FFR(AUC 0.97,95％CI 0.94-0.99)and MCP-FFR(AUC 0.92,95％CI 0.88-0.97)demonstrated favorable diagnostic performance for detecting hemodynamic abnormalities(P=0.122).In the"gray zone"for hemodynamic abnormality,the diagnostic accuracy of MCP-FFR was 68.8％,whereas DeepCL-FFR increased it to 89.7％.DeepCL-FFR also exhibited superior diagnostic performance(AUC 0.89,95％CI 0.73-0.99)within the"gray zone,"which was significantly higher than that of MCP-FFR(AUC 0.71,95％CI 0.54-0.87)(P＜0.001).Conclusions The deep learning-driven coronary centerline extraction algorithm,DeepCL,demonstrates superior diagnostic performance in CT-FFR for detecting hemodynamic abnormalities,particularly by significantly improving diagnostic accuracy in the"gray zone."

Objective:To investigate and analyze the service needs of family members of Neurosurgical Intensive Care Unit patients and provide references for improving Neurosurgical Intensive Care Unit nursing services.Methods:Totally 270 family members of neurosurgical patients hospitalized between March and May 2024 at Intensive Care Unit of Beijing Tiantan Hospital, Capital Medical University were selected by convenience sampling. Kano Model-based Questionnaire on the Needs of Family Members of Neurosurgical Intensive Care Unit Patients designed based on literature review and expert consultation, was distributed to investigate their families service needs. The Kano model analysis was applied to categorize service needs and prioritize them, followed by constructing a satisfaction-importance quadrant diagram.Results:A total of 270 questionnaires were distributed, with 248 valid responses collected, yielding an effective response rate of 91.85% (248/270) . The Kano attribute analysis revealed that all service needs were classified as "expected attributes". The satisfaction-importance quadrant diagram indicated that 10 items were located in the "advantage zone", nine items in the "retention zone", four items in the "observation zone", and seven items in the "improvement zone".Conclusions:The Kano model-based analysis of service needs helps healthcare providers identify the diverse needs of family members of Neurosurgical Intensive Care Unit patients. It is recommended that while maintaining the provision of services in the "advantage zone", healthcare providers integrate hospital resources to continuously improve services in the "improvement zone" to enhance family satisfaction and strengthen hospital competitiveness.

Objective:To explore the equity and driving path of primary healthcare human resource allocation across 31 provinces in China,providing references for optimizing such allocations.Methods:Using data from the 2022 primary healthcare human resources in 31 provinces in China,the Health Resource Density Index(HRDI)was used to measure the equity of primary healthcare human resource allocation.The fuzzy-set Qualitative Comparative Analysis(fsQCA)was applied to construct configurational pathways influencing on allocation patterns.Results:In 2022,the HRDI for primary healthcare human resources in China was 2.349 0 in the East,1.198 6 in the Central region,and 0.775 2 in the West.Configurational analysis revealed three paths that promote high equity:the internal-external balance-driven model(H1),the government-led model(H2),and the economic-demand combined model(H3),with overall consistency and coverage of 0.955 and 0.794,respectively.Seven paths lead to low equity:internal-external constraint models(L1,L2),economic constraint models(L3),and demand constraint models(L4,L5,L6,L7),with overall consistency and coverage of 0.967 and 0.795,respectively.Conclusions:Significant regional disparities exist in the equity of primary healthcare human resource allocation in China.Population density is a critical factor influencing allocation equity.The collaboration of various factors contributes to enhancing the equity of primary healthcare human resources distribution.Therefore,future efforts to enhance equity should focus on promoting inter-regional mobility and resource sharing,while precisely addressing regional shortcomings to achieve high equity in primary healthcare human resource allocation.