OBJECTIVE To construct an evaluation index system for the core competencies of ethics committee members of drug clinical trial institution， providing a basis for optimizing the training system for committee members， improving the quality of ethical review， and fully safeguarding the safety and rights of subjects. METHODS Using methods such as literature research and expert consultation， a preliminary core competency evaluation index system was constructed. The Delphi method was employed to revise and validate it， ultimately forming an evaluation index system for the core competencies of ethics committee members. Based on this system， a questionnaire survey was conducted among 90 ethics committee members from 29 drug clinical trial institutions nationwide， comparing their importance rating and self-assessment scores of the core competency indexes. RESULTS The evaluation system constructed included 4 primary indicators （ethics and professional knowledge， ethics review ability， communication and expression ability， moral integrity and work style） and 39 secondary indicators （familiarity with the content of clinical trial-related laws and regulations， ability to complete project ethics review and identify ethical defects in research protocols within a short period of time， ability to judge the scientific value of clinical research， etc.）. The results of questionnaire survey showed that the interviewed ethics committee members had significant capability gaps in dimensions such as regulatory knowledge， ethical norms， review efficiency， risk judgment， and problem analysis. The differences between the importance rating scores of corresponding secondary indicators and the self-assessment scores were all no less than 0.38. CONCLUSIONS This study has developed a quantifiable and stratified core competency assessment tool for ethics committee members. It can provide a scientific framework for committee member training， qualification certification， and standardized management of ethics committees.

Objective The plasma von Willebrand factor(vWF)level in patients with primary microvascular angina(PMVA)were measured to evaluate the vascular endothelial function of the patients.The change of vWF level in patients after the treatment with Shexiangbaoxin Pill were observeg.Methods Totally 69 patients who were definitely diagnosed as PMVA,They were randomly divided into conventional treatment group(33cases)and ShexiangBaoxin Pill group(36cases).The plasma vWF levels of the two groups were measured before and after treatment.Results The level of vWF before treatment in conventional treatment group was(50.93±32.98)μg/L.The level of vWF before treatment in ShexiangBaoxin Pill group was(27.45±25.02)μg/L.The level of vWF in conventional treatment group after treatment was(49.65±35.12)μg/L.The level of vWF after treatment in ShexiangBaoxin Pill group was(17.37±15.68)μg/L.The difference of vWF decrease in Baoxin Pill group after treatment(10.08±16.47)μg/L,was lower than that in conventional treatment group(1.28±12.37)μg/L,the difference is significant(P<0.05).Conclusion Shexiang Baoxin Pill has the function of protecting vascular endothelium,and PMVA patients can benefit from treatment.

BACKGROUND:As tissue engineering brings new hope to the worldwide problem of articular cartilage repair,the construction of light-curing 3D printed hydrogel scaffolds with biomimetic composition is of great significance for cartilage tissue engineering. OBJECTIVE:To construct a biomimetic methacryloylated hyaluronic acid/acellular Wharton's jelly composite hydrogel scaffold by digital light processing 3D printing technology,and to evaluate its biocompatibility. METHODS:Wharton's jelly was isolated and extracted from human umbilical cord,then decellulated,freeze-dried,ground into powder,and dissolved in PBS to prepare 50 g/L acellular Wharton's jelly solution.Methylallylated hyaluronic acid was prepared,lyophilized and dissolved in PBS to prepare 50 g/L methylallylated hyaluronic acid solution.Acellular Wharton's jelly solution was mixed with methacrylyacylated hyaluronic acid solution at a volume ratio of 1:1,and was used as bio-ink after adding photoinitiator.Methylacrylylated hyaluronic acid hydrogel scaffolds(labeled as HAMA hydrogel scaffolds)and methylacrylylated hyaluronic acid/acellular Wharton's jelly gel scaffolds(labeled as HAMA/WJ hydrogel scaffolds)were prepared by digital light processing 3D printing technology,and the microstructure,swelling performance,biocompatibility,and cartilage differentiation performance of the scaffolds were characterized. RESULTS AND CONCLUSION:(1)Under scanning electron microscope,the two groups of scaffolds showed a three-dimensional network structure,and the fiber connection of HAMA/WJ hydrogel scaffold was more uniform.Both groups achieved swelling equilibrium within 10 hours,and the equilibrium swelling ratio of HAMA/WJ hydrogel scaffold was lower than that of HAMA hydrogel scaffold(P＜0.05).(2)CCK-8 assay showed that HAMA/WJ hydrogel scaffold could promote the proliferation of bone marrow mesenchymal stem cells compared with HAMA hydrogel scaffold.Dead/live staining showed that bone marrow mesenchymal stem cells grew well on the two groups of scaffolds,and the cells on the HAMA/WJ hydrogel scaffolds were evenly distributed and more cells were found.Phalloidine staining showed better adhesion and spread of bone marrow mesenchymal stem cells in HAMA/WJ hydrogel scaffold than in HAMA.(3)Bone marrow mesenchymal stem cells were inoculated into the two groups for chondrogenic induction culture.The results of qRT-PCR showed that the mRNA expressions of agglutinoglycan,SOX9 and type Ⅱ collagen in the HAMA/WJ hydrogel scaffold group were higher than those in the HAMA hydrogel scaffold group(P＜0.05,P＜0.01).(4)These findings indicate that the digital light processing 3D bioprinting HAMA/WJ hydrogel scaffold can promote the proliferation,adhesion,and chondrogenic differentiation of bone marrow mesenchymal stem cells.

Objective:Based on the benchmarking theory,to elaborate the key issues,paradigm innovations and realization paths of modernized performance management in China's public hospitals,and to provide policy recommendations for the government and hospitals.Methods:Literature/document collection,expert consultation and prototyping were used as methodological support.Results:Hospital performance management lacks management standards,multivariate dynamic indicator systems and realization tools;the digital governance model of"digital technology+management system"has not been established;and horizontal and vertical comparisons among geographic regions,hospitals,departments,and disease types based on standards have not been realized.Innovative paradigms include the establishment of a standard paradigm based on the smallest functional units such as disease types,indexes,bed days,operators,doctors,etc.;the construction of a dynamic index library,the mining of different combinations of indexes and their internal relationships,and the establishment of an evaluation paradigm;the establishment of a longitudinal evaluation of disease types,the evaluation of"specialties,hospitals,and industries",and the positioning of internal functions of hospitals,resource efficiency and the application of healthcare quality evaluation.It creates a multivariate,multidimensional,dynamic evaluation method and visualized evaluation tool and realization path based on big data.Conclusion:It is needed to emancipate the mind to further enhance the cognitive level of digital governance,innovate the paradigm to accelerate the construction of modernized performance management system in public hospitals,and build a platform to promote the application of modernized performance management system in public hospitals.

Objective:To compare the epidemiological and clinical characteristics of hospitalized children with respiratory syncytial virus (RSV) infection in Kunming among the pre-and post-COVID-19 era, and to establish a prediction model for severe RSV infection in children during the post-COVID-19 period.Methods:This was a retrospective study. Clinical and laboratory data were collected from 959 children hospitalized with RSV infection in the Department of Pulmonary and Critical Care Medicine at Kunming Children′s Hospital during January to December 2019 and January to December 2023. Patients admitted in 2019 were defined as the pre-COVID-19 group, while those admitted in 2023 were classified as the post-COVID-19 group. Epidemiological and clinical characteristics were compared between the two groups. Subsequently, comparison of the clinical severity among the two groups was performed based on propensity score matching (PSM). Furthermore, the subjects in the post-COVID-19 group were divided into severe and non-severe groups based on clinical severity. Chi-square test and Mann-Whitney U test were used for pairwise comparison between groups, and multivariate Logistic regression was applied for the identification of independent risk factors and construction of the prediction model. The receiver operating characteristic (ROC) curve and calibration curve were employed to evaluate the predictive performance of this model. Results:Among the 959 children hospitalized with RSV infection, there were 555 males and 404 females, with an onset age of 15.4 (7.3, 28.5) months. Of which, there were 331 cases in the pre-COVID-19 group and 628 cases in the post-COVID-19 group. The peak period of RSV hospitalization in the post-COVID-19 group were from May to October 2023, and the monthly number of inpatients for each of these months were as follows: 72 cases (11.5%), 98 cases (15.6%), 128 cases (20.4%), 101 cases (16.1%), 65 cases (10.4%), and 61 cases (9.7%), respectively. After PSM for general data, 267 cases were matched in each group. The proportion of wheezing in the post-COVID-19 group was lower than that in the pre-COVID-19 group (109 cases (40.8%) vs. 161 cases (60.3%), χ2=20.26, P<0.001), while the incidences of fever, tachypnea, seizures, severe case, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein and interleukin-6 levels were all higher than those in the pre-COVID-19 group (146 cases (54.7%) vs. 119 cases (44.6%), 117 cases (43.8%) vs. 89 cases (33.3%), 37 cases (13.9%) vs. 14 cases (5.2%), 69 cases (25.8%) vs. 45 cases (16.9%), 3.6 (1.9, 6.4) vs. 2.3 (1.8, 4.6), 9.9 (7.1, 15.2) vs. 7.8 (4.5, 13.9) mg/L, 20.5 (15.7, 30.4) vs. 17.2 (11.0, 26.9) ng/L, χ2=5.46, 6.36, 11.47, 6.42, Z=4.13, 3.06, 2.96, all P<0.05). There were 252 cases and 107 cases with co-infection in the post-and pre-COVID-19 groups, respectively. The proportion of triple and quadruple infection in the post-COVID-19 group was higher than that in the pre-COVID-19 group (59 cases (23.4%) vs. 13 cases (12.1%), 30 cases (11.9%) vs. 5 cases (4.7%), χ2=5.94, 4.46, both P<0.05). Among the 252 cases with co-infection in post-COVID-19 group, the most prevalent pathogens involving in co-infections, in order, were Mycoplasma pneumoniae 56 cases (22.2%), Influenza A virus 53 cases (21.0%), Rhinovirus 48 cases (19.0%), Parainfluenza virus 35 cases (13.9%), and Adenovirus 28 cases (11.1%).The result of multivariate Logistic regression showed that age ( OR=0.70, 95% CI 0.62-0.78, P<0.001), underlying diseases ( OR=10.03, 95% CI 4.10-24.55, P<0.001), premature birth ( OR=6.78, 95% CI 3.53-13.04, P<0.001), NLR ( OR=1.85, 95% CI 1.09-3.15, P=0.023), and co-infection ( OR=1.28, 95% CI 1.18-1.38, P<0.001) were independently associated with the development of severe RSV infection in the post-COVID-19 group. The ROC curve of the prediction model integrating the above five factors indicated an area under the curve of 0.85 (95% CI 0.80-0.89, P<0.001), with an optimal cutoff of 0.21, a sensitivity of 0.83 and a specificity of 0.80. The calibration curve showed that the predicted probability in this model did not differ significantly from the actual probability ( P=0.319). Conclusions:In the post-COVID-19 era in Kunming, the peak in pediatric hospitalizations for RSV infection was from May to October, with declined incidence of wheezing and increased incidence of fever, tachypnea, seizures, severe cases, and rates of triple and quadruple co-infections. Age, underlying diseases, premature birth, NLR, and co-infection were identified as independent risk factors for severe RSV infection in the post-COVID-19 period. In this study, a risk prediction model for severe pediatric RSV infection was established, which had a good predictive performance.

Objective:Based on the benchmarking theory,to elaborate the key issues,paradigm innovations and realization paths of modernized performance management in China's public hospitals,and to provide policy recommendations for the government and hospitals.Methods:Literature/document collection,expert consultation and prototyping were used as methodological support.Results:Hospital performance management lacks management standards,multivariate dynamic indicator systems and realization tools;the digital governance model of"digital technology+management system"has not been established;and horizontal and vertical comparisons among geographic regions,hospitals,departments,and disease types based on standards have not been realized.Innovative paradigms include the establishment of a standard paradigm based on the smallest functional units such as disease types,indexes,bed days,operators,doctors,etc.;the construction of a dynamic index library,the mining of different combinations of indexes and their internal relationships,and the establishment of an evaluation paradigm;the establishment of a longitudinal evaluation of disease types,the evaluation of"specialties,hospitals,and industries",and the positioning of internal functions of hospitals,resource efficiency and the application of healthcare quality evaluation.It creates a multivariate,multidimensional,dynamic evaluation method and visualized evaluation tool and realization path based on big data.Conclusion:It is needed to emancipate the mind to further enhance the cognitive level of digital governance,innovate the paradigm to accelerate the construction of modernized performance management system in public hospitals,and build a platform to promote the application of modernized performance management system in public hospitals.

Objective:Based on the benchmarking theory,to elaborate the key issues,paradigm innovations and realization paths of modernized performance management in China's public hospitals,and to provide policy recommendations for the government and hospitals.Methods:Literature/document collection,expert consultation and prototyping were used as methodological support.Results:Hospital performance management lacks management standards,multivariate dynamic indicator systems and realization tools;the digital governance model of"digital technology+management system"has not been established;and horizontal and vertical comparisons among geographic regions,hospitals,departments,and disease types based on standards have not been realized.Innovative paradigms include the establishment of a standard paradigm based on the smallest functional units such as disease types,indexes,bed days,operators,doctors,etc.;the construction of a dynamic index library,the mining of different combinations of indexes and their internal relationships,and the establishment of an evaluation paradigm;the establishment of a longitudinal evaluation of disease types,the evaluation of"specialties,hospitals,and industries",and the positioning of internal functions of hospitals,resource efficiency and the application of healthcare quality evaluation.It creates a multivariate,multidimensional,dynamic evaluation method and visualized evaluation tool and realization path based on big data.Conclusion:It is needed to emancipate the mind to further enhance the cognitive level of digital governance,innovate the paradigm to accelerate the construction of modernized performance management system in public hospitals,and build a platform to promote the application of modernized performance management system in public hospitals.

Objective:Based on the benchmarking theory,to elaborate the key issues,paradigm innovations and realization paths of modernized performance management in China's public hospitals,and to provide policy recommendations for the government and hospitals.Methods:Literature/document collection,expert consultation and prototyping were used as methodological support.Results:Hospital performance management lacks management standards,multivariate dynamic indicator systems and realization tools;the digital governance model of"digital technology+management system"has not been established;and horizontal and vertical comparisons among geographic regions,hospitals,departments,and disease types based on standards have not been realized.Innovative paradigms include the establishment of a standard paradigm based on the smallest functional units such as disease types,indexes,bed days,operators,doctors,etc.;the construction of a dynamic index library,the mining of different combinations of indexes and their internal relationships,and the establishment of an evaluation paradigm;the establishment of a longitudinal evaluation of disease types,the evaluation of"specialties,hospitals,and industries",and the positioning of internal functions of hospitals,resource efficiency and the application of healthcare quality evaluation.It creates a multivariate,multidimensional,dynamic evaluation method and visualized evaluation tool and realization path based on big data.Conclusion:It is needed to emancipate the mind to further enhance the cognitive level of digital governance,innovate the paradigm to accelerate the construction of modernized performance management system in public hospitals,and build a platform to promote the application of modernized performance management system in public hospitals.

Objective:Based on the benchmarking theory,to elaborate the key issues,paradigm innovations and realization paths of modernized performance management in China's public hospitals,and to provide policy recommendations for the government and hospitals.Methods:Literature/document collection,expert consultation and prototyping were used as methodological support.Results:Hospital performance management lacks management standards,multivariate dynamic indicator systems and realization tools;the digital governance model of"digital technology+management system"has not been established;and horizontal and vertical comparisons among geographic regions,hospitals,departments,and disease types based on standards have not been realized.Innovative paradigms include the establishment of a standard paradigm based on the smallest functional units such as disease types,indexes,bed days,operators,doctors,etc.;the construction of a dynamic index library,the mining of different combinations of indexes and their internal relationships,and the establishment of an evaluation paradigm;the establishment of a longitudinal evaluation of disease types,the evaluation of"specialties,hospitals,and industries",and the positioning of internal functions of hospitals,resource efficiency and the application of healthcare quality evaluation.It creates a multivariate,multidimensional,dynamic evaluation method and visualized evaluation tool and realization path based on big data.Conclusion:It is needed to emancipate the mind to further enhance the cognitive level of digital governance,innovate the paradigm to accelerate the construction of modernized performance management system in public hospitals,and build a platform to promote the application of modernized performance management system in public hospitals.

Objective:Based on the benchmarking theory,to elaborate the key issues,paradigm innovations and realization paths of modernized performance management in China's public hospitals,and to provide policy recommendations for the government and hospitals.Methods:Literature/document collection,expert consultation and prototyping were used as methodological support.Results:Hospital performance management lacks management standards,multivariate dynamic indicator systems and realization tools;the digital governance model of"digital technology+management system"has not been established;and horizontal and vertical comparisons among geographic regions,hospitals,departments,and disease types based on standards have not been realized.Innovative paradigms include the establishment of a standard paradigm based on the smallest functional units such as disease types,indexes,bed days,operators,doctors,etc.;the construction of a dynamic index library,the mining of different combinations of indexes and their internal relationships,and the establishment of an evaluation paradigm;the establishment of a longitudinal evaluation of disease types,the evaluation of"specialties,hospitals,and industries",and the positioning of internal functions of hospitals,resource efficiency and the application of healthcare quality evaluation.It creates a multivariate,multidimensional,dynamic evaluation method and visualized evaluation tool and realization path based on big data.Conclusion:It is needed to emancipate the mind to further enhance the cognitive level of digital governance,innovate the paradigm to accelerate the construction of modernized performance management system in public hospitals,and build a platform to promote the application of modernized performance management system in public hospitals.