Anxiety disorder is a highly prevalent psychological illness, and research has shown that obesity is a significant risk factor for its development. This study explored the ameliorative effects and mechanisms of saponins from Panax japonicus(SPJ) on anxiety disorder in mice fed a high-fat diet(HFD). Fifty C57BL/6J mice were randomly divided into normal control diet(NCD) group, HFD group, and low-and high-dose SPJ groups. At week 12, six mice from the HFD group were further divided into a control group(treated with DMSO) and an exogenous fibroblast growth factor 21(FGF21) group(administered rFGF21). The anxiety-like behavior of the mice was assessed using the open field test and elevated plus maze test. Hematoxylin-eosin(HE) staining and oil red O staining were performed to observe pathological changes in the liver and adipose tissue. Glucose metabolism was evaluated through the glucose tolerance test(GTT) and insulin tolerance test(ITT). Western blot analysis was performed to detect the expression of FGF21 and its downstream-related proteins in the liver and cortex, along with the expression of brain-derived neurotrophic factor(BDNF), disks large homolog 4(DLG4), and synaptophysin(SYP) in the cortex. Real-time quantitative fluorescent PCR(qPCR) was used to detect the expression of FGF21 and its receptor genes in the liver and cortex. Immunofluorescence staining was employed to examine the expression of neuronal activator c-Fos, FGF21, and the FGF21 co-receptor β-klotho in the cerebral cortex. The results showed that SPJ significantly improved the frequency of activity in the open arms of the elevated plus maze and the central area of the open field in HFD mice, up-regulated the expression of BDNF, DLG4, and SYP, and effectively alleviated anxiety-like behaviors in HFD mice. Compared with the NCD group, HFD mice exhibited up-regulated expression of FGF21 in the liver and cerebral cortex, while the expression of fibroblast growth factor receptor 1(FGFR1) and β-klotho was significantly down-regulated, suggesting that HFD mice exhibited FGF21 resistance. SPJ markedly up-regulated the β-klotho levels in HFD mice, reversing FGF21 resistance. Further comparison with exogenously administered FGF21 revealed that SPJ activates brain cortical regions in a consistent manner, and additionally, SPJ promotes the number and colocalization of c-Fos and β-klotho positive cells in the brain cortex. In summary, SPJ effectively alleviates anxiety-like behaviors in HFD mice. Its mechanism is associated with up-regulation of β-klotho expression in the brain, reversal of FGF21 resistance, and subsequent activation of neurons in the cerebral cortex and amygdala.
Animals ; Diet, High-Fat/adverse effects* ; Fibroblast Growth Factors/genetics* ; Mice ; Male ; Panax/chemistry* ; Mice, Inbred C57BL ; Anxiety/etiology* ; Saponins/administration & dosage* ; Brain-Derived Neurotrophic Factor/genetics* ; Humans ; Liver/metabolism* ; Drugs, Chinese Herbal/administration & dosage*

Objective It analyzes the internal relationship between hierarchical diagnosis and remote medical treatment,explores the internal relationship state,and put forward collaborative suggestions.Methods Through the review of relevant policies and academic literature from 2009 to 2023,the magic policy tool platform of Peking University and CNKI are used to conduct visual analysis of policy documents and academic research trends.Results The included literature includes 1 119 hierarchical diagnosis and treatment policies,444 remote medical treatment policies and 16 dual-policy coordination.There were 10 224 articles related to hierarchical diagnosis and treatment,and 2 388 articles related to remote medical treatment.The number of paper of hierarchical diagnosis and treatment policies is higher than that of medical treatment in different places policies,and the main institutions are the National Health Commission and the National Healthcare Security Administration.The overall publication and academic discussion showed a trend of rising first and then decreasing.Conclution The implementation of hierarchical diagnosis and remote medical treatmentpolicies has caused friction due to departmental conflicts of interest.The government and academia should pay more attention to the coordinated development of the dual policies,and should consider more effective collaborative strategies in the future.

Objective To analyze the causes and compensation characteristics of medical damage disputes in Anhui Province in recent years,and provide reference suggestions for effectively controlling and reducing the incidence of medical errors and doctor-patient conflicts.Methods The 1 876 cases of medical damage disputes in Anhui Province from 2017 to 2022 were included in the judgment documents network,and their occurrence years and causes of disputes were analyzed.Results The number of medical malpractice cases did not decrease significantly,and the average amount of compensation continued to increase;the top three causes of disputes were improper treatment or surgery(54.6%),and the average first place of actual compensation was improper medication or adverse drug reactions,and in terms of hospital level,1 009 cases(53.8%)were concentrated in tertiary public hospitals,the average actual compensation amount of private hospitals ranked first;the top three departments were surgery(44.62%);the highest incidence of damage was death(40.2%),and the average compensation amount for first-class disability was the highest.Hospitals were mainly responsible for secondary responsibilities(38.7%).Conclusion The contradiction between doctors and patients is still serious,so it is necessary to promote the construction of tight medical association and medical community,guide the allocation of medical resources,pay attention to risk sharing and management optimization,and reduce the incidence of medical damage disputes.

Objective:Exploring the association rules of factors influencing high hospitalization costs for cancer patients, providing references for hospitals to optimize medical cost management measures.Methods:In the inpatient case information system of a tertiary general hospital, the medical record homepages of inpatients in the DRG groups of the oncology department in 2022 were obtained. The upper four scores of hospitalization costs was used as the threshold for patient grouping. Patients with hospitalization costs≥this threshold were the high-cost group, while other patients were control group; 12 factors, including age, gender, and admission condition, etc, were considered as potential influencing factors of high hospitalization costs. FP-Growth and Apriori algorithms were used to excavate the potential association rules between the influencing factors of high hospitalization costs. Logistic regression was used to analyze the independent influencing factors of high hospitalization costs.Results:A total of 5 512 hospitalized patients were included, including 1 378 patients in the high-cost group. Thirteen validated strong association rules for factors influencing high hospitalization costs were obtained, of which the rule antecedents included age (≥70 years), number of days in hospital (≥7 days), other diagnoses (≥5), surgery, planned readmission, use of antibiotics, admission (general/critical), living admission score (61~99), level of care (level 1/level 2), non-day ward, criticality during hospitalisation. Logistic regression results showed that all nine influencing factors except gender, use of antibiotics, and readmission plans were independent influences on high hospitalization costs ( P<0.05). Conclusions:The joint application of FP-Growth and Apriori algorithm could effectively explore the association rules of high hospitalization costs for oncology patients. The early warning information mainly included the number of hospitalization days, the number of other diagnoses, surgeries, and so on. It was suggested that medical institutions can reasonably control the high hospitalization costs through clinical pathway management, diagnosis and treatment process reengineering, admission risk assessment, and multidisciplinary collaborative diagnosis and treatment strategies.

Objective:To analyze the influencing factors of China′s DRG payment system reform(DRG reform) and its hierarchical relationship, for references for the in-depth promotion of China′s medical insurance payment reform.Methods:Relevant literature on DRG reform in China from databases such as CNKI, Wanfang Database, Pubmed, etc, were obtained. Content analysis method was used to extract the influencing factors of DRG reform. The correlation between each influencing factor was determined through expert discussion. An interpretive structural model(ISM) was constructed to analyze the hierarchical relationship of factors influencing DRG reform.Results:After analysis, the influencing factors(12) of DRG reform in China were included such as medical level, hospital management, and medical staff′s cognition and behavior. Among them, the local situation was the deep-level factor affecting DRG reform, 9 factors such as data quality assurance and policy design/implementation were the middle-level factors, and patients′ interests/needs and disease grouping were the surface-level factors.Conclusions:There were many influencing factors on the reform of China′s DRG payment system. It was suggested that relevant management departments in various regions should focus on the actual situation of the locality, take data quality and policy design and implementation as the key points of reform, formulate a scientific and reasonable DRG grouping scheme, safeguard the interests of patients, so as to promote the deepening of DRG reform.

Objective The relationship between the coupling coordination degree of DRG capacity,medical quality and medical cost and the high-quality development level of hospitals under the background of DRG was quantitatively analyzed,and the linear correlation between the efficient collaboration of multiple factors and the high-quality development of hospitals was verified.Methods The relevant indicators of sample hospitals from January 2021 to June 2023 were selected to construct a multi-dimensional evaluation index system of DRG capacity,medical quality and medical cost,and the Delphi method and entropy weight method were used to carry out subjective and objective comprehensive weighting to evaluate the high-quality development level of hospitals.The coupling coordination degree model was used to measure the coordinated development level of DRG capacity,medical quality and medical cost,and then the correlation between the coupling coordination degree and high-quality development of the three was obtained through Pearson correlation.Results The monthly variation of high-quality development represented by the DRG capacity,medical quality and comprehensive medical cost capacity level of the sample hospitals is quite different,and the coupling coordination degree is the highest 0.916 and the lowest is 0.173,showing a preliminary coordination pattern as a whole.The Pearson correlation coefficient between the coupling coordination degree and high-quality development of the three is 0.731,and there is a significant positive correlation.Conclusion The coupling and coordination level of DRG capacity,medical quality and medical cost of the hospital can represent the high-quality development level of the hospital,and the synergy of elements should be paid attention to to help the overall development.

Objective To explore the influence of the coupling and coordination of DRG and clinical pathways on Antibiotics Use Density.Methods The data of 7 clinical departments in a sample hospital from 2021 to 2022 were selected,the data were collated through descriptive statistics,and the coupling coordination degree model was used to measure the coordinated development level of DRG and clinical pathways.Taking the per-average drug cost and the average hospital stay of patients as the threshold variables,the threshold regression model was used to calculate the threshold value of Antibiotics Use Density at the level of coordinated development.Results There was a single threshold(F=21.98,P<0.05)of 6334.69 and a double threshold(F=160.53,15.99,P<0.1)of 6.74 and 8.20 for the average length of stay of patients.The statistical values between the level of coordinated development and Antibiotics Use Density in the two threshold variables were positive.Conclusion There is a nonlinear relationship between the level of coordinated development of DRG and clinical pathway with Antibiotics Use Density,and there is a positive promotion effect,and there are differences in the impact size in different threshold variable intervals.Medical institutions should pay attention to the nonlinear relationship,make good use of hospital informatization,do a good job in reasonable monitoring,and reasonably promote the management of antimicrobial drugs.

With the implementation of DRG payment method reform in China,how to apply the DRG payment method to Traditional Chinese Medicine (TCM) has become a key issue that needs to be solved urgently.Although at present,TCM medical institutions in China may not implement the DRG payment method for the time being,but combined with the policy orientation and the process of work at the present stage of China,the combination of the DRG method payment reform and TCM has become a general trend.In order to explore the feasibility of the combination of DRG method payment and TCM diseases,it firstly combs through the status quo and dilemma of the implementation of DRG payment method reform in TCM diseases,and then discusses the feasibility of the combination of DRG payment method and TCM diseases and joint promotion of the policy based on the idea of the same price for the same disease and combining with the concept of TCM culture,in order to provide theoretical support for the further exploration of the health insurance payment method in accordance with the characteristics of TCM at the next stage.The purpose is to provide theoretical support for the next stage of further exploration of health insurance payment methods in line with the characteristics of TCM.

With the widespread implementation of the DRG point method in China,how to deal with the potential risks brought by the punching behavior of medical institutions under the point method is a real problem that needs to be solved.It explains the special characteristics of uncertainty in the distribution of health insurance fund under the DRG point method,and explores the possibility,feasibility and proliferation of the point flushing behavior of medical institutions under the DRG point method at the theoretical level based on the rational economic man perspective,the principal generation theory and the cohort effect.In response to the theoretical model,game theory is used to further construct a model of point-shuffling behavior of medical institutions under the DRG point method,and analyze the reasons for point-shuffling behavior and its potential risks.It is suggested that the potential risks of point-shaving can be prevented by strengthening the communication and cooperation between medical institutions under the medical association and hierarchical diagnosis and treatment system,and by implementing the monitoring mechanism of medical insurance government departments on medical institutions.

Under the background of deepening the reform of medical and health system,the reform of public hos-pital salary system reform faces the dual challenges of realizing the value of knowledge and maintaining public wel-fare.Based on the public value theory,it constructs a synergistic analytical framework of"knowledge value and pub-lic welfare"to reveal the internal logic and realization path of public hospital pay system reform.Through the mecha-nisms of policy design reconstruction,assessment system innovation,remuneration structure optimization and multi-dimensional collaborative governance,the current systemic obstacles such as incentive alienation,misalign-ment of assessment,and insufficient financial compensation can be effectively solved.It is necessary to build a pub-lic value target,construct a synergistic system of"constraints and incentives",and activate the main motivation of medical staff to form a closed loop of"target-setting-mechanism-driven-practice-feedback"value cycle.It pro-vides a theoretical innovation path for the reform of public hospital remuneration system,and has important reference value for balancing the efficiency and fairness of medical services.