Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

BACKGROUND:Pathological cardiac hypertrophy is a risk factor for various heart diseases,but its pathogenesis remains unclear.Circular RNAs are strongly associated with cardiac hypertrophy.However,the role of circular RNA CHACR in cardiac hypertrophy and its regulatory mechanisms have not been clarified.OBJECTIVE:To investigate the role of circular RNA CHACR in pressure overload-induced cardiac hypertrophy and the underlying mechanisms.METHODS:(1)Transverse aortic constriction was used to induce cardiac hypertrophy in vivo after in situ injection of cyclic RNA CHACR overexpressing lentivirus into the heart for 1 week.Heart mass/tibia length ratio and lung mass/tibia length ratio were calculated;cardiomyocyte surface area was measured;hypertrophic marker gene expression levels were detected;myocardial fibrosis degree was detected,and cardiac function was assessed.(2)H9c2 cardiomyocytes were treated with circular RNA CHACR overexpressing lentivirus for 72 hours,and then treated with 1 μmol/L angiotensin Ⅱ for 24 hours to induce hypertrophy of cardiomyocytes.The hypertrophy was assessed by measuring the surface area of cardiomyocytes,the expression level of hypertrophic marker genes,and the protein/DNA ratio.Oxidative stress damage was assessed by detecting reactive oxygen species levels and mitochondrial membrane potential.RESULTS AND CONCLUSION:(1)The expression level of circular RNA CHACR was significantly decreased in both in vivo and in vitro myocardial hypertrophy models(P＜0.01).(2)The overexpression of circular RNA CHACR significantly inhibited the cardiac hypertrophy induced by transverse aortic constriction,including reducing the enlarged heart volume,significantly decreasing the increased heart mass/tibia length ratio(P＜0.05),lung mass/tibia length ratio(P＜0.05),and cardiomyocyte surface area(P＜0.05),and decreasing the upregulated expression levels of hypertrophic markers atrial natriuretic peptide(P＜0.05)and brain natriuretic peptide(P＜0.05).(3)Cardiac fibrosis induced by transverse aortic constriction in mice was significantly inhibited by enforcing expression of circular RNA CHACR,as evidenced by reduced fibrotic area(P＜0.01)and decreased expression levels of the fibrosis marker gene Acta1(P＜0.05).(4)Overexpression of circular RNA CHACR significantly improved cardiac function in mice,including significantly increased ejection fraction(P＜0.05)and fractional shortening(P＜0.01).(5)Enforced expression of circular RNA CHACR significantly inhibited angiotensin Ⅱ-induced cardiomyocyte hypertrophy,including a significant reduction in cardiomyocyte surface area(P＜0.05),downregulation of atrial natriuretic peptide(P＜0.05),and brain natriuretic peptide(P＜0.05)expression levels,and a significant decrease in protein/DNA ratio(P＜0.05).(6)Overexpression of circular RNA CHACR significantly inhibited the elevation of reactive oxygen species levels(P＜0.001)and the decrease in mitochondrial membrane potential(P＜0.05)induced by angiotensin Ⅱ.These results confirm that the expression level of circular RNA CHACR is significantly decreased in cardiac hypertrophy at both in vivo and in vitro myocardial hypertrophy models,and overexpression of circular RNA CHACR significantly inhibits cardiac hypertrophy,alleviates cardiac fibrosis,improves cardiac function,and significantly attenuates angiotensin Ⅱ-induced oxidative stress damage.

Objective To construct the K64 capsule depolymerase recombinant protein,Dep44,and investigate its potential application against carbapenem-resistant Klebsiella pneumoniae(CRKP)infections.Methods The de-polymerase-encoding phage vB_Kpn_HF1013(GenBank:PP803128)was isolated and genomically analyzed to screen for candidate depolymerases.The recombinant protein Dep44 was constructed and functionally verified for depolymerase activity.Dep44 sensitive range was validated and Dep44 antimicrobial activity was assessed by bio-film disruption and serum sterilization assays.Results The tail spike protein of phage vB_Kpn_HF1013 exhibited depolymerase activity and recombinant protein Dep44 specifically degraded K64 CRKP capsule.Biofilm eradication assays demonstrated that recombinant Dep44 at both 2 μg/mL and 10 μg/mL significantly disrupted bacterial bio-films relative to the control.Serum bactericidal assays showed that Dep44 exhibited synergistic activity with serum,dependent on the complement system,as Dep44 alone lacked bactericidal properties.Conclusion Dep44 effec-tively targets and degrades K64 CRKP capsule,disrupts biofilms,and enhances serum bactericidal activity,high-lighting its potential for managing K64 CRKP infections and clearing biofilms from medical devices.

Objective:To investigate the prevalence and influencing factors of depression,anxiety and comorbid depression-anxiety symptoms among college freshmen,providing a theoretical basis for promoting their mental health.Methods:From Jan to Feb 2022,an online questionnaire survey was conducted,involving 483 online questionnaires from college freshmen(184 males,299 females).The depression-anxiety-stress self-rating scale,smartphone dependence self-rating scale for adolescents,and Pittsburgh sleep quality index(PSQI)were used for online surveys.The influencing factors of depression,anxiety,and their comorbidity among college freshmen were analyzed by multivariable logistic regression analysis.Results:The detection rates of smartphone dependence,sleep disorders,depression,anxiety and comorbid depression-anxiety symptoms among college freshmen were 26.1%,12.8%,26.3%,32.1%,and 23.6%,respectively.The detection rates of depression,anxiety and comorbid depression-anxiety symptoms in male students were significantly higher than those in female students(P＜0.05).Multivariable logistic regression analysis showed that self-perceived poor mental health,smartphone dependence and sleep disorders were risk factors for depression,anxiety and comorbid depression-anxiety symptoms.Low satisfaction with college life was a risk factor for depression.Medical specialty was a risk factor for anxiety and comorbid depression-anxiety symptoms(P＜0.05).Conclusions:Male college freshmen show higher rates of depression,anxiety,and their comorbidity.Low satisfaction with college life,self-perceived poor mental health,high academic pressure,smartphone dependence,medical specialty,and sleep disorders may be risk factors for depression,anxiety and comorbid depression-anxiety symptoms among college freshmen.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective To explore the coupling mechanism between medical surge response resources and the spread of secondary risks during public health emergencies,as well as the effectiveness of relevant interventions.Methods Based on complex network theory,a dual-layer network model of medical resources and secondary events was constructed.The interactive feedback between medical resource status and secondary event risk,as well as the effects of network structure,were analyzed through MATLAB simulations,REPAST agent-based modeling,and mean-field analysis.Results Simulation and prediction results show that an increase in first-layer resource-deficient nodes significantly raises the activation rate and transmission speed of secondary events,while the clustering and spread of secondary events in the second layer,in turn,intensify resource depletion,creating a negative feedback loop.Mean-field analysis indicates a nonlinear positive correlation between the adequacy of medical resources and the likelihood of secondary events.Network structure analysis reveals that when the average node degree exceeds 8,resource allocation efficiency improves markedly.Conclusion There exists a dynamic coupling and bidirectional feedback relationship between medical resource status and secondary event risks.Enhancing the flexible allocation and responsiveness of medical resources,improving multi-sectoral collaborative monitoring and coordinated regulation,optimizing network connectivity and coordination mechanisms for resource distribution,and establishing dynamic monitoring and tiered early warning systems are key strategies for strengthening the resilience of healthcare systems and effectively containing the spread of secondary events.

Objective:To investigate the prevalence and influencing factors of depression,anxiety and comorbid depression-anxiety symptoms among college freshmen,providing a theoretical basis for promoting their mental health.Methods:From Jan to Feb 2022,an online questionnaire survey was conducted,involving 483 online questionnaires from college freshmen(184 males,299 females).The depression-anxiety-stress self-rating scale,smartphone dependence self-rating scale for adolescents,and Pittsburgh sleep quality index(PSQI)were used for online surveys.The influencing factors of depression,anxiety,and their comorbidity among college freshmen were analyzed by multivariable logistic regression analysis.Results:The detection rates of smartphone dependence,sleep disorders,depression,anxiety and comorbid depression-anxiety symptoms among college freshmen were 26.1%,12.8%,26.3%,32.1%,and 23.6%,respectively.The detection rates of depression,anxiety and comorbid depression-anxiety symptoms in male students were significantly higher than those in female students(P＜0.05).Multivariable logistic regression analysis showed that self-perceived poor mental health,smartphone dependence and sleep disorders were risk factors for depression,anxiety and comorbid depression-anxiety symptoms.Low satisfaction with college life was a risk factor for depression.Medical specialty was a risk factor for anxiety and comorbid depression-anxiety symptoms(P＜0.05).Conclusions:Male college freshmen show higher rates of depression,anxiety,and their comorbidity.Low satisfaction with college life,self-perceived poor mental health,high academic pressure,smartphone dependence,medical specialty,and sleep disorders may be risk factors for depression,anxiety and comorbid depression-anxiety symptoms among college freshmen.

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 provide a scoping review of studies on the application of intelligent healthcare for continuity management in liver transplant patients,in order to provide a reference for the future development of intelligent liver transplant management.Methods A systematic search of relevant studies was conducted in PubMed,Embase,CINAHL,Web of Science,Cochrane Library,Scopus,CNKI,Wanfang Database,VIP Database,and CBM from the establishment of the databases to 30 September 2024.Following this search,the included literature was screened,summarized,and analyzed.Results A total of 19 papers were included.The intervention forms included application,intelligent medical device,and remote rehabilitation platform.The content elements included transplant health management,rehabilitation program planning,health data monitoring,telemedicine consultation,psychosocial support,and follow-up supervision.The evaluation indicators included physiological indicators,self-management ability,health-related quality of life,transplantation outcomes,patient satisfaction,and feasibility indicators.Conclusion The application of intelligent healthcare in the continuity management of liver transplantation patients is feasible and effective,and it is recommended that healthcare professionals integrate the diverse practice forms of intelligent healthcare,deepen the content elements and refine the evaluation indicator system based on the actual clinical situation,in order to improve the quality of the continuity management of liver transplantation patients.