Sinisan is a classical prescription developed and applied by ancient medical experts and it is first recorded in the Treatise on Cold Damage written by ZHANG Zhongjing in the Eastern Han Dynasty. Later physicians have modified this prescription based on this original one. The bibliometrics methods were used to analyze the key information and research trend of Sinisan. According to the inclusion and exclusion criteria， 69 pieces of effective data were extracted， involving 67 ancient traditional Chinese medicine （TCM） books. The results showed that the name， composition， and decocting methods of Sinisan in later generations were inherited from the original record in the Treatise on Cold Damage. The original plants of medicinal materials used in Sinisan are basically clear. We recommend Bupleuri Radix as the dried root of Bupleurem scorzonerifolium， Paeoniae Radix Alba as the dried root of Paeonia lactiflora， Aurantii Fructus as the dried fruit of Citrus aurantium， Glycyrrhizae Radix et Rhizoma as the dry root and rhizome of Glycyrrhiza uralensis. Raw materials of Bupleuri Radix and Paeoniae Radix Alba， Aurantii Fructus stir-fried with bran， and stir-fried Glycyrrhizae Radix et Rhizoma should be used for preparation of Sinisan. According to measurement system in the Han Dynasty， a bag of Sinisan is composed of 1.25 g Bupleuri Radix， 1.25 g Paeoniae Radix Alba， 1.25 g Aurantii Fructus， and 1.25 g Glycyrrhizae Radix et Rhizoma. The materials should be grounded into coarse powder and taken with a proper amount of rice soup， 3 times a day. Sinisan has the effects of regulating qi movement and harmonizing the liver and spleen. It can be used for treating reversal cold in limbs and cold damage. In modern clinical practice， Sinisan can be used to treat chronic gastritis， irritable bowel syndrome， and dyspepsia. The above research results provide scientific reference for the future research and development of Sinisan.

Objective:To retrieve, evaluate, and integrate the best evidence for the management of neurogenic bowel dysfunction (NBD) in spinal cord injury patients both domestically and internationally, providing a basis for relevant evidence-based practices.Methods:The guidelines, expert consensus, clinical decision-making, and systematic review of NBD management for spinal cord injury patients were electronically searched in various databases and professional association websites at home and abroad. The search period was from database establishment to March 31, 2023.Results:A total of 13 articles were included, including five guidelines, five evidence summaries, two expert consensus, and one clinical decision-making. A total of 33 recommendations for NBD management in spinal cord injury patients were summarized from five aspects of medical history assessment, medication management, physical therapy, diet and exercise, and health education.Conclusions:The best evidence for NBD management in spinal cord injury patients summarized is scientific and practical. Medical and nursing staff should selectively apply the best evidence based on clinical practice.

Pseudorabies virus(PRV)is the etiological agent of pseudorabies in pigs,which is char-acterized by dyspnea,reproductive disorders,and neurological diseases,and it spreads widely a-round the world.Since 2011,the newly emerged PRV variants have resulted in poor immunity pro-tection of traditional vaccine strains,and the original method of vaccine strain preparation is time-consuming and labor-intensive.Therefore,it is urgently needed to develop an efficient screening method of the vaccine strain at present.Using CRISPR/Cas9 gene editing technology in this study,two single guide RNAs(sgRNA)were designed targeting the virulence gene TK of PRV variant strain CH/JX/2016,and then the enhanced green fluorescent protein the reporter(EGFP)gene was inserted at the TK locus by a homologous repair plasmid.After multiple rounds of plaque puri-fication,the rPRV-ΔTK/EGFP strain was obtained.The results showed the cleavage efficiency of the two sgRNAs was extremely high.The preparation of rPRV-ΔTK/EGFP strain was succeed af-ter only three rounds of purification,and the EGFP expressed normally.The CRISPR/Cas9 system can edit the PRV gene simply,rapidly,and efficiently,and exhibits great potential in the construction of vaccine candidate strains.Meanwhile,the rescued rPRV-ΔTK/EGFP strain not only could be used as a tracer strain in PRV variant infection progresses,but also for subsequent antivi-ral drug screening.

Objective By comprehensively applying the integrated technology acceptance model,we explore the accept-ability of"6S management work"among members within the medical group and analyze important influencing factors.This pro-vides theoretical support and practical guidance for promoting work progress and sustainable development.Methods In order to determine the specific items for the questionnaire,a combination of literature review and expert consultation methods was used.The entire hospital staff was stratified sampled proportionally,and an online survey was conducted to collect feedback on the ac-ceptability from 354 employees who had been employed and stably served in the hospital before 2024.The questionnaire results were statistically described using SPSS 27.0 to clarify the current satisfaction with management work and the relevant factors.Results The community influence was the highest in the independent variable with a score of(2.11±0.91),followed by per-formance expectation with a score of(2.11±0.75),and giving expectation scored the lowest with a score of only(1.99±0.46).The dependent variables of behavioural intention and satisfaction scored(1.96±0.75)and(1.97±0.85)respectively.Conclusion Using the key factors influencing the behavioural intentions and satisfaction of medical group members,such as co-operation,community influence,performance expectations,and payment expectations,recommendations are made for the contin-uous optimization of the"6S management"process.

Objective It aims to construct an evaluation index system for the development level of intelligent health insurance,which can serve as a reference for health insurance management departments in assessing the develop-ment level of intelligent health insurance and the implementation of health insurance informatization.Methods Key events in intelligent health insurance were identified based on event system theory and text analysis.The evaluation index system was determined through a combination of expert interviews and Delphi expert consultations.The entro-py method was used to calculate the weights of each index,followed by the assessment of the current and ideal de-velopment levels.Results A total of 16 experts were consulted.After two rounds of Delphi expert consultation,two first-level indicators and 18 second-level indicators were finally included in the system.The current development level of intelligent health insurance in China is at the intelligent development stage(2.524 points),while the ideal de-velopment level is at the intelligent improvement stage(4.073 points).The positivity coefficient of both rounds of Del-phi expert consultation was 100%,with an authority coefficient of 0.842,and the degree of expert coordination im-proved with each round.Conclusion The constructed evaluation index system exhibits high scientificity,stability,and generalizability.It can provide an effective evaluation tool for the development of intelligent health insurance in various pooled areas.

Taking the reform of DRG payment methods as the background,it discusses how the medical in-surance department uses information technology to achieve refined monitoring and management of medical institu-tions,so as to improve the quality and efficiency of medical services and control the unreasonable growth of medical expenses.The three stages of"precision monitoring-refined supervision-precision governance"of medical insurance DRG based on"refined theory"are proposed;taking Nanjing's"medical insurance high-speed railway"as an example,a DRG refined supervision and governance model framework is constructed,and its analysis is carried out monitoring elements and governance elements,and finally put forward implementation suggestions,including hori-zontal collaboration led by medical insurance,establishing a service and cost evaluation mechanism that combines in-ternal and external services.

It dified framework of health system resilience analysis.The research integrates practical elements from the case of the online pandemic material procurement and allocation hall in Nanjing,categorizing the resilience-building of local health systems via informatization into two distinct dimensions:static foundation and dynamic endowment.It conducts an in-depth examination of the logical pathways that leverage informatization to bolster resilience,and further investigates the inherent advantages and potential areas for optimization within informatization.The findings suggest that the synergistic empowerment of both static foundation and dynamic endowment effectively amplifies the risk defense capability and resilience of local health systems.

Information collaboration is an important realisation path to deepen the reform of the medical and health system and to promote the collaborative development and governance of the"Three Medicine"during the"14th Five-Year Plan"period.It employs the SFIC model and makes appropriate modifications to it.The analytical framework comprises six elements:"initial conditions-external environment-catalytic leadership-institutional de-sign-collaborative process-results feedback".This framework is used to dissect the current collaborative dilemma in the"Three Medicine"information collaboration and governance.Based on this analysis,an optimized path for infor-mation collaborative governance is proposed:consolidating the foundation of"Three Medicine"information collabora-tion,enhancing the catalytic leadership capability of meta-governance,optimizing the institutional design of informa-tion life-cycle governance,reshaping the information collaboration process,and focusing on the evaluation feedback mechanism.

Digital transformation is driving the repositioning of government work and the reshaping of public ser-vice models.It uses TOE theory combined with a technology analysis framework as a theoretical perspective and a single-case study approach to explore the operational mechanism and optimization path of health insurance gover-nance modernization.The findings show that the digital transformation of health insurance is in line with the three-stage path of"structuring the enabling mechanism-forming digital service capacity-enabling value creation".The next stage is to promote the implementation of digital coding standards,accelerate the application of technology integration,respond to the needs of the insured,improve the supporting measures for the linkage of the three health care systems,and bring into play the effectiveness of modern governance of health care.It expands the scope of government governance modernisation research and has both theoretical and practical value.

Objective To investigate the changes in interleukin-34 (IL-34)levels in serum and bronchoalveolar lavage fluid (BALF) of patients with severe pneumonia and their prognostic value. Methods A total of 66 patients with severe pneumonia (severe pneumonia group), 35 patients with non-severe pneumonia (non-severe pneumonia group), and 27 healthy adults (control group) were enrolled. The severe pneumonia group was further divided into survival group of 38 patients and non-survival group of 28 patients based on 28-day survival. Clinical data of all subjects were analyzed. Receiver operating characteristic (ROC) curves were plotted to assess the predictive power of serum IL-34 and relative IL-34 gene expression in BALF for 28-day mortality in patients with severe pneumonia, as well as the predictive power of serum IL-34 for severe pneumonia. Kaplan-Meier survival curves were plotted, and the Log-rank test was used to compare cumulative survival rates. Cox regression analysis was conducted to explore risk factors for 28-day mortality in patients with severe pneumonia. Pearson correlation analysis was used to assess the correlation between serum IL-34 levels and relative IL-34 gene expression in BALF of patients with severe pneumonia. Results Serum IL-34 levels were higher in the severe pneumonia group than those in the non-severe pneumonia group, and were higher in the non-severe pneumonia group than in the control group (P < 0.05). Serum IL-34 levels and relative IL-34 gene expression in BALF were higher in the non-survival group than in the survival group (P < 0.05). ROC curve analysis showed that the areas under the curve for predicting 28-day mortality in patients with severe pneumonia were 0.908 for serum IL-34 levels and 0.878 for relative IL-34 gene expression in BALF. The optimal cutoff value for serum IL-34 levels in predicting severe pneumonia was 129.9 pg/mL. Multivariate Cox regression analysis showed that increased serum IL-34 levels and increased relative IL-34 gene expression in BALF were independent risk factors for 28-day mortality in patients with severe pneumonia (P < 0.05). The Kaplan-Meier survival analysis results indicate that, with a cutoff value of 129.9 pg/mL, patients with severe pneumonia who had high serum levels of IL-34 exhibited a lower cumulative survival rate compared to those with low IL-34 level(Log-rank P < 0.001). Conclusion Serum IL-34 levels are significantly increased in patients with severe pneumonia, and relative IL-34 gene expression in BALF is positively correlated with serum IL-34 levels. Both can be used as indicators for predicting the prognosis of 28-day mortality in patients with severe pneumonia.