Objective:To investigate the predictive value of color Doppler ultrasound combined with electrocardio-gram for right heart dys function in patients with pulmonary heart disease(PHD).Methods:A total of 100 PHD patients admitted in Dongcheng Branch of First Affiliated Hospital of Anhui Medical University between January 2020 and December 2023 were retrospectively analyzed.According to results of 6min walking test(6MWT),pa-tients were divided into good right heart function group(n=64,≥350m)and right heart dysfunction group(n=36,＜350m).The indexes of cardiac color ultrasound[isovolumic relaxation time(IVRT),isovolumetric contraction time(IVCT)and right ventricular Tei index],ECG[24h mean R-R interval standard deviation(SDNN),normal R-R interval standard deviation per 5min(SDANN)and the ratio of low frequency components to high frequency components(LF/HF)]were compared between two groups.Receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of color Doppler ultrasound,ECG and their combination for right heart dys-function in PHD patients.Spearman correlation coefficient was used to analyze the association of color Doppler ul-trasound,ECG and their combination with right heart dysfunction in PHD patients.Results:Compared with those in good right heart function group,patients in right heart dysfunction group had significant higher IVRT[(120.64±14.08)ms vs.(97.87±10.93)ms],IVCT[(84.28±12.33)ms vs.(71.92±10.61)ms]and Tei index[(0.85±0.11)vs.(0.63±0.07)](P＜0.001 all),and significant lower SDNN[(75.52±12.58)ms vs.(85.58±11.75)ms],SDANN[(63.86±10.92)ms vs.(76.75±11.71)ms]and LF/HF[(1.33±0.19)vs.(1.84±0.27)](P＜0.001 all).ROC curve indicated that the AUC of color Doppler ultrasound combined ECG in diagnosing right heart dysfunction in PHD patients was 0.911(95％CI 0.838～0.959),which was significantly higher than those of color Doppler ultrasound[0.775(95％CI 0.681～0.853),Z=2.404,P=0.016]and ECG[0.688(95％CI 0.588～0.777),Z=3.968,P=0.001]alone.Spearman correlation analysis indicated that there was a significant positive correlation of color Doppler ultrasound(r=0.547),ECG(r=0.375)and their combination(r=0.810)with right heart dysfunction in PHD patients(P＜0.001 all),and the correlation between combined detection and right heart dysfunction in PHD patients was significantly higher.Conclusion:Color Doppler ultrasound combined with ECG possesses high diagnostic performance for right heart dysfunction in PHD patients.

The release of item guide is an important content of deepening the reform of medical service prices,and it is also a major measure to unify and standardize the price of medical services.Comprehensive examination items are widely grasped and applied by the majority of hospitals and medical personnel,the degree of service homogenization is relatively high,the frequency of occurrence is high,and it plays a key role in the medical service price system and service income.On the basis of the preparation ideas,framework structure design,item elements and characteristics of the comprehensive examination item initiation guide,it reviews the main changes in the establishment of the comprehensive examination item initiation guide price item,and puts forward suggestions to accelerate the implementation of the comprehensive examination item initiation guide:promoting the docking pricing and standardized implementation of the comprehensive examination item initiation guide,and starting the dynamic adjustment of the price of diagnostic items according to the trigger mechanism.

With the implementation of the medical service price item guidelines in various places,it is particularly urgent to follow up the coordinated policies of consumables that can be charged separately and their medical insurance catalog access and payment management.On the basis of reviewing the management policy of medical consumables charge and medical insurance catalogue,it introduces the practice of typical provinces,including making a catalogue list of consumables that can be charged separately to patients or forming a negative list of consumables based on basic consumption;formulating a unified payment management plan for medical consumables and a catalogue of medical consumables for medical insurance in the province;innovative medical consumables clinical application item fees and medical insurance payment policy coordination.The practice of typical provinces has implications for other regions to standardize consumables charges,medical insurance catalog access and payment:combing and screening,standardizing and integrating the content of price items in different places to form a list of consumables that can be separately charged;clearly defining the scope of access and meet the conditions,and classifying the consumables that can be charged separately into the medical insurance catalogue management according to the procedures.

Objective:To investigate the predictive value of color Doppler ultrasound combined with electrocardio-gram for right heart dys function in patients with pulmonary heart disease(PHD).Methods:A total of 100 PHD patients admitted in Dongcheng Branch of First Affiliated Hospital of Anhui Medical University between January 2020 and December 2023 were retrospectively analyzed.According to results of 6min walking test(6MWT),pa-tients were divided into good right heart function group(n=64,≥350m)and right heart dysfunction group(n=36,＜350m).The indexes of cardiac color ultrasound[isovolumic relaxation time(IVRT),isovolumetric contraction time(IVCT)and right ventricular Tei index],ECG[24h mean R-R interval standard deviation(SDNN),normal R-R interval standard deviation per 5min(SDANN)and the ratio of low frequency components to high frequency components(LF/HF)]were compared between two groups.Receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of color Doppler ultrasound,ECG and their combination for right heart dys-function in PHD patients.Spearman correlation coefficient was used to analyze the association of color Doppler ul-trasound,ECG and their combination with right heart dysfunction in PHD patients.Results:Compared with those in good right heart function group,patients in right heart dysfunction group had significant higher IVRT[(120.64±14.08)ms vs.(97.87±10.93)ms],IVCT[(84.28±12.33)ms vs.(71.92±10.61)ms]and Tei index[(0.85±0.11)vs.(0.63±0.07)](P＜0.001 all),and significant lower SDNN[(75.52±12.58)ms vs.(85.58±11.75)ms],SDANN[(63.86±10.92)ms vs.(76.75±11.71)ms]and LF/HF[(1.33±0.19)vs.(1.84±0.27)](P＜0.001 all).ROC curve indicated that the AUC of color Doppler ultrasound combined ECG in diagnosing right heart dysfunction in PHD patients was 0.911(95％CI 0.838～0.959),which was significantly higher than those of color Doppler ultrasound[0.775(95％CI 0.681～0.853),Z=2.404,P=0.016]and ECG[0.688(95％CI 0.588～0.777),Z=3.968,P=0.001]alone.Spearman correlation analysis indicated that there was a significant positive correlation of color Doppler ultrasound(r=0.547),ECG(r=0.375)and their combination(r=0.810)with right heart dysfunction in PHD patients(P＜0.001 all),and the correlation between combined detection and right heart dysfunction in PHD patients was significantly higher.Conclusion:Color Doppler ultrasound combined with ECG possesses high diagnostic performance for right heart dysfunction in PHD patients.

Objective To explore the driving forces behind the changes in the salary system of public hospitals in China and provide scientific evidence and policy recommendations for further improving the salary system.Methods Using the multiple streams theoretical framework,combined with bibliometric analysis and policy texts analysis,to deeply understand the factors influencing the salary system reform of public hospitals.Results The problem stream highlights issues such as low salary levels,structural imbalances,and insufficient incentives:the average wage of health and social work employees is only 1.19 times the national average,with a disproportionately low share of ba-sic salary and allowances.The policy stream is grounded in the accumulation of long-term academic research and lo-cal pilot experiences:from 2002 to 2025,attention to hospital remuneration has steadily increased;the pilot reform in Sanming City led to an average annual salary growth rate of 11.87％for medical staff.The political stream is driven by the government's"Healthy China"strategy and public opinion orientation:the reform of the public hospital sala-ry system from 1993 till now can be divided into three stages,with reform objectives gradually shifting towards the establishment of a scientifically sound and rational salary distribution system.The synergy of these three streams has facilitated the opening of a"policy window"for salary system reform in public hospitals.Conclusion It is essential to establish a dynamic salary adjustment mechanism,encourage the participation of experts and stakeholders in the policymaking process,and better align with national reform orientations.

Objective To explore the driving forces behind the changes in the salary system of public hospitals in China and provide scientific evidence and policy recommendations for further improving the salary system.Methods Using the multiple streams theoretical framework,combined with bibliometric analysis and policy texts analysis,to deeply understand the factors influencing the salary system reform of public hospitals.Results The problem stream highlights issues such as low salary levels,structural imbalances,and insufficient incentives:the average wage of health and social work employees is only 1.19 times the national average,with a disproportionately low share of ba-sic salary and allowances.The policy stream is grounded in the accumulation of long-term academic research and lo-cal pilot experiences:from 2002 to 2025,attention to hospital remuneration has steadily increased;the pilot reform in Sanming City led to an average annual salary growth rate of 11.87％for medical staff.The political stream is driven by the government's"Healthy China"strategy and public opinion orientation:the reform of the public hospital sala-ry system from 1993 till now can be divided into three stages,with reform objectives gradually shifting towards the establishment of a scientifically sound and rational salary distribution system.The synergy of these three streams has facilitated the opening of a"policy window"for salary system reform in public hospitals.Conclusion It is essential to establish a dynamic salary adjustment mechanism,encourage the participation of experts and stakeholders in the policymaking process,and better align with national reform orientations.

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:To investigate the influencing factors of pathological positive surgical margins(PSM)after radical resec-tion of prostate cancer.Methods:The clinical data of 407 patients who underwent radical resection of prostate cancer in our hospital from 2011 to 2020 were retrospectively analyzed.And the patients were divided into two groups according to postoperative pathological results.Single factor analysis was used to evaluate the differences in postoperative Gleason score,preoperative total prostate-specific antigen(tPSA),preoperative serum free prostate-specific antigen to preoperative tPSA ratio(fPSA/tPSA),clinical stage,postopera-tive pathological stage,operation method,age,body mass index(BMI),diameter and volume of prostate tumor.Multivariate logistic regression was used to determine the independent risk factor of PSM.Results:Among 407 patients with prostate cancer,179 cases(43.98％)were positive.Univariate analysis showed that there were significant differences in postoperative Gleason score,preopera-tive tPSA,clinical stage and postoperative pathological stage between the two groups(P＜0.05).And Gleason score,preoperative tPSA and pathologic stage were independent risk factors for PSM.Conclusion:There are relationships between PSM and post opera-tive Gleason score,tPSA,clinical T stage,postoperative pathologic pT stage.Among them,postoperative Gleason score(Gleason=7 points,Gleason≥8 points),preoperative total prostate-specific antigen(tPSA＞20 μg/L),and postoperative pathologic pT stage(pT3a,pT3b)were independent risk factors for positive pathological margins of prostate cancer.

This paper aimed to investigate the therapeutic effect and mechanism of action of the Yiqi Fumai Formula(YQFM), a kind of traditional Chinese medicine(TCM), on mice with experimental heart failure based on the "heart-gut axis" theory. Based on the network pharmacology integrated with the group collaboration algorithm, the active ingredients were screened, a "component-target-disease" network was constructed, and the potential pathways regulated by the formula were predicted and analyzed. Next, the model of experimental heart failure was established by intraperitoneal injection of adriamycin at a single high dose(15 mg·kg~(-1)) in BALB/c mice. After intraperitoneal injection of YQFM(lyophilized) at 7.90, 15.80, and 31.55 mg·d~(-1) for 7 d, the protective effects of the formula on cardiac function were evaluated using indicators such as ultrasonic electrocardiography and myocardial injury markers. Combined with inflammatory factors in the cardiac and colorectal tissue, as well as targeted assays, the relevant indicators of potential pathways were verified. Meanwhile, 16S rDNA sequencing was performed on mouse fecal samples using the Illumina platform to detect changes in gut flora and analyze differential metabolic pathways. The results show that the administration of injectable YQFM(lyophilized) for 7 d significantly increased the left ventricular end-systolic internal diameter, fractional shortening, and ejection fraction of cardiac tissue of mice with experimental heart failure(P<0.05). Moreover, markers of myocardial injury were significantly decreased(P<0.05), indicating improved cardiac function, along with significantly suppressed inflammatory responses in cardiac and intestinal tissue(P<0.05). Additionally, the species of causative organisms was decreased, and the homeostasis of gut flora was improved, involving a modulatory effect on PI3K-Akt signaling pathway-related inflammation in cardiac and colorectal tissue. In conclusion, YQFM can affect the "heart-gut axis" immunity through the homeostasis of the gut flora, thereby exerting a therapeutic effect on heart failure. This finding provides a reference for the combination of TCM and western medicine to prevent and treat heart failure based on the "heart-gut axis" theory.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Heart Failure/microbiology* ; Mice ; Mice, Inbred BALB C ; Male ; Disease Models, Animal ; Gastrointestinal Microbiome/drug effects* ; Heart/physiopathology* ; Humans ; Signal Transduction/drug effects*