Objective:To evaluate the safety of neoadjuvant therapy with pembrolizumab combined with 5-fluorouracil (5-FU) and cisplatin in patients with advanced temporal bone squamous cell carcinoma (TBSCC), and its impact on tumor response rate and disease-free survival (DFS).Methods:This prospective, single-arm, open-label clinical study enrolled patients with advanced (Stage Ⅲ/Ⅳ) TBSCC from Sun Yat-sen Memorial Hospital. Patients received 2-3 cycles of neoadjuvant therapy with pembrolizumab, 5-FU, and cisplatin, followed by definitive surgery. Postoperatively, patients received 6 cycles of pembrolizumab combined with radiotherapy. The primary endpoint was the 2-year disease-free survival (DFS) rate. Secondary endpoints included objective response rate (ORR) and safety indicators. Survival analysis was performed using the Kaplan-Meier method. Adverse events (AE) were assessed using the National Cancer Institute′s Common Terminology Criteria for Adverse Events (CTCAE), version 5.0. Statistical analyses were conducted using SPSS software, version 22.0.Results:From August 2021 to April 2024, 16 patients with advanced TBSCC were enrolled (13 males and 3 females), with a median age of 54 years and a median follow-up time of 2.32 years. Following neoadjuvant therapy, the objective response rate (ORR) was 64.3% (9/14), and the disease control rate (DCR) was 92.9% (13/14). The 2-year DFS rate was 86.6%. Common treatment-related adverse events (TRAE) included leukopenia (56.3%, 9/16), nausea and vomiting (50.0%, 8/16), diarrhea, oral mucositis, and elevated liver function tests (25.0%, 4/16). One patient (6.25%) experienced a grade 3 adverse event.Conclusion:Neoadjuvant pembrolizumab-chemotherapy significantly enhances objective response rate and disease-free survival in advanced TBSCC.

Objective:To evaluate the safety of neoadjuvant therapy with pembrolizumab combined with 5-fluorouracil (5-FU) and cisplatin in patients with advanced temporal bone squamous cell carcinoma (TBSCC), and its impact on tumor response rate and disease-free survival (DFS).Methods:This prospective, single-arm, open-label clinical study enrolled patients with advanced (Stage Ⅲ/Ⅳ) TBSCC from Sun Yat-sen Memorial Hospital. Patients received 2-3 cycles of neoadjuvant therapy with pembrolizumab, 5-FU, and cisplatin, followed by definitive surgery. Postoperatively, patients received 6 cycles of pembrolizumab combined with radiotherapy. The primary endpoint was the 2-year disease-free survival (DFS) rate. Secondary endpoints included objective response rate (ORR) and safety indicators. Survival analysis was performed using the Kaplan-Meier method. Adverse events (AE) were assessed using the National Cancer Institute′s Common Terminology Criteria for Adverse Events (CTCAE), version 5.0. Statistical analyses were conducted using SPSS software, version 22.0.Results:From August 2021 to April 2024, 16 patients with advanced TBSCC were enrolled (13 males and 3 females), with a median age of 54 years and a median follow-up time of 2.32 years. Following neoadjuvant therapy, the objective response rate (ORR) was 64.3% (9/14), and the disease control rate (DCR) was 92.9% (13/14). The 2-year DFS rate was 86.6%. Common treatment-related adverse events (TRAE) included leukopenia (56.3%, 9/16), nausea and vomiting (50.0%, 8/16), diarrhea, oral mucositis, and elevated liver function tests (25.0%, 4/16). One patient (6.25%) experienced a grade 3 adverse event.Conclusion:Neoadjuvant pembrolizumab-chemotherapy significantly enhances objective response rate and disease-free survival in advanced TBSCC.

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: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 We aimed to compared matrix metalloproteinase-13 (MMP-13) and transforming growth factor-β1 (TGF-β1) in synovial fluid,the phosphorylation level of Smad3 in articular cartilage (P-Smad3),and their correlation with traditional Chinese medicine (TCM) patterns in patients with knee osteoarthritis (KOA) of liver-kidney deficiency pattern and pattern of intermingled phlegm and blood stasis.Methods Using a cross-sectional field investigation method,KOA patients hospitalized in the Orthopedics Department of Dongzhimen Hospital,Beijing University of Chinese Medicine from September 2019 to February 2023 were collected. A total of 112 KOA patients were included,among which 63 cases were diagnosed with liver-kidney deficiency pattern,and 49 cases were diagnosed with pattern of intermingled phlegm and blood stasis. The intensity of knee pain,function,and X-ray imaging result were quantified using the Visual Analogue Scale (VAS),Lysholm Knee Scoring Scale,and Kellgren-Lawrence (K-L) Grading Scale,respectively. The TCM pattern was identified and quantified using a TCM Pattern Scoring Scale. Immunohistochemistry was used to determine the phosphorylation characteristics of Smad3 in articular cartilage,and ELISA was used to measure the contents of MMP-13 and TGF-β1 in synovial fluid. The level characteristics and their correlation with the degree of syndrome were analyzed.Results (i) There was no statistically significant difference in VAS scores,Lysholm scores,and K-L grades between KOA patients with different TCM patterns. (ii) Compared with KOA patients with pattern of intermingled phlegm and blood stasis,patients with pattern of liver-kidney deficiency had higher levels of MMP-13 in synovial fluid and lower levels of TGF-β1 in synovial fluid (P<0.05). (iii) In KOA patients with liver-kidney deficiency pattern,there was a positive correlation between the level of MMP-13 in synovial fluid and the score of TCM pattern (r=0.292,P=0.020),while there was a negative correlation between the level of TGF-β1 in synovial fluid and the score of TCM pattern (r=-0.781,P<0.001). In KOA patients with pattern of intermingled phlegm and blood stasis,there was also a positive correlation between the level of MMP-13 in synovial fluid and the score of TCM pattern (r=0.936,P<0.001). (iv) The mean optical density value of P-Smad3 in articular cartilage was lower in KOA patients with liver-kidney deficiency pattern than in pattern of intermingled phlegm and blood stasis (P<0.05).Conclusion KOA patients with liver-kidney deficiency pattern or pattern of intermingled phlegm and blood stasis have different levels of TGF-β1 and MMP-13 in synovial fluid,as well as varying degrees of Smad3 phosphorylation in articular cartilage,which is consistent with the analysis of etiology and pathogenesis under different patterns. The levels of TGF-β1 and MMP-13 in synovial fluid of patients with liver-kidney deficiency pattern can reflect the severity of the pattern to a certain extent,and the mechanism may be related to the inhibition of the activation level of the TGF-β/Smad signaling pathway. This study enriches the research content of the material basis of TCM patterns.

DRG payment reform is an important means to control the unreasonable growth of medical expenses, improve the quality of medical services and achieve a win-win situation among three sides of hospitals, medical insurance and patients. This study adopted the Smith policy implementation process model to analyze the difficulties in the DRG policy implementation process from four aspects(idealized policies, policy implementation institutions, target groups, and policy environment), including the deviation between policy connotations and actual needs; the interest objectives of all parties were not completely aligned, the target group lacked a sense of identity, and the social impact and technological support needed to be improved. It was suggested that optimization should be carried out from four dimensions: policy supply coordination and precision, performance evaluation and personnel literacy, target group cognitive level and participation willingness, and policy implementation environment and atmosphere, in order to synergistically promote the effective implementation of DRG policies.