By consulting herbal texts， medical records， formula collections， and other relevant literature from various historical periods， as well as modern and contemporary research materials， different aspects of the historical evolution of Zijingpi， including its name， origin， scientific name verification， medicinal part， genuine producing areas， harvesting， processing， and preparation， properties and flavors， and primary indications， were systematically reviewed and verified， providing a basis for the development of famous classical formula preparations containing this medicinal material. According to the textual research， Cercis chinensis was first recorded under the name "Zijingmu" in the Rihuazi Bencao from the Five Dynasties period. From the Song Dynasty to the Qing Dynasty， it was known by various names such as "Zijing"， "Zijingpi"， and "Zijingmupi". In modern and contemporary times， it has been officially named "Zijingpi"， with aliases such as "Mantiaohong"， "Zihuashu"， and "Qingminghua". Historically， the mainstream source of Zijingpi was the dried bark of Cercis chinensis Bunge， a species of the legume family. However， there were also instances of confusion with the Lythraceae plant Lagerstroemia indica L. The producing areas of Zijingpi have no special geographical limitation， and the plant is currently distributed throughout most parts of China. There were no special requirements for harvesting time in ancient times， while modern records indicate harvesting time in spring， summer， and autumn. Ancient processing methods were rarely recorded， with only mentions of stir-frying Zijingpi. Modern practice mostly uses the raw material medicinally. Modern standards prefer it to be "dry， long strips， and thick". The functions of Zijingpi， mainly to promote blood circulation， relieve strangury， and detoxify， have remained consistent from ancient to modern times. Based on the textual research findings， it is recommended that when developing and exploiting the famous classical formulas containing Zijingpi， the bark of C. chinensis should be selected as the source. The processing method should be chosen according to the formula requirements， and if no specific requirements are indicated， it is suggested to use the raw material medicinally.

Objective To evaluate the reliability,validity,and feasibility of the diagnostic scale for toxic pathogen syndrome in heart failure(HF),and to verify its reliability and effectiveness in clinical diagnosis.Methods A cross-sectional study was conducted.Patients with HF who visited four hospitals,including Dongzhimen Hospital,Beijing University of Chinese Medicine,from March 1st to September 30th,2024 were selected.General information of the patients,including gender,age,smoking history,drinking history,and comorbidities,was collected.Cronbach's α coefficient,split-half reliability,and test-retest reliability were used to evaluate the reliability of the scale.Surface validity,discriminant validity,and structural validity were used to assess the validity of the scale.Acceptance rate,completion rate,and completion time were used to evaluate the feasibility.Results A total of 600 patients with HF meeting the research criteria were included,including 290 males and 310 females,with a median(IQR)age of 66.50(58.00,70.00)years.Internal consistency reliability:the Cronbach's α coefficients of the total scale and the four dimensions were all greater than 0.6,indicating a good consistency among the items of the scale.The Spearman-Brown coefficients of the total scale and the four dimensions were all greater than 0.7,indicating good stability and homogeneity within the scale.External consistency reliability:the Kappa coefficients of the total scale and the four dimensions were all greater than 0.7,indicating good external consistency of the scale.Discriminant validity evaluation:patients were divided into the toxic pathogen syndrome group(n=180)and the non-toxic pathogen syndrome group(n=420).There were no statistically significant differences in gender,age,smoking history,drinking history,and comorbidities between the two groups(P>0.05).The scores of the two groups were evaluated using the diagnostic scale for the toxic pathogen syndrome in HF.The toxic pathogen syndrome group had higher scores in all four dimensions and the total scale than the non-toxic pathogen syndrome group(P<0.01),indicating good discriminant validity of the scale.Structural validity assessment:principal component analysis was used to extract 28 factors,and a total of 7 common factors were extracted,with a total variance contribution rate of 60.554%.The absolute values of the loadings of each item were basically greater than 0.5,and the commonalities of the corresponding dimensions ranged from 52.1%to 96.5%,indicating good structural validity of the scale.The acceptance rate of the scale in this evaluation was 100%,the completion rate was 100%,and the average completion time was between 6 and 8 minutes,indicating good feasibility of the scale.Conclusion The diagnostic scale for the toxic pathogen syndrome in HF has good reliability,validity,and feasibility.

Objective To evaluate the reliability,validity,and feasibility of the diagnostic scale for toxic pathogen syndrome in heart failure(HF),and to verify its reliability and effectiveness in clinical diagnosis.Methods A cross-sectional study was conducted.Patients with HF who visited four hospitals,including Dongzhimen Hospital,Beijing University of Chinese Medicine,from March 1st to September 30th,2024 were selected.General information of the patients,including gender,age,smoking history,drinking history,and comorbidities,was collected.Cronbach's α coefficient,split-half reliability,and test-retest reliability were used to evaluate the reliability of the scale.Surface validity,discriminant validity,and structural validity were used to assess the validity of the scale.Acceptance rate,completion rate,and completion time were used to evaluate the feasibility.Results A total of 600 patients with HF meeting the research criteria were included,including 290 males and 310 females,with a median(IQR)age of 66.50(58.00,70.00)years.Internal consistency reliability:the Cronbach's α coefficients of the total scale and the four dimensions were all greater than 0.6,indicating a good consistency among the items of the scale.The Spearman-Brown coefficients of the total scale and the four dimensions were all greater than 0.7,indicating good stability and homogeneity within the scale.External consistency reliability:the Kappa coefficients of the total scale and the four dimensions were all greater than 0.7,indicating good external consistency of the scale.Discriminant validity evaluation:patients were divided into the toxic pathogen syndrome group(n=180)and the non-toxic pathogen syndrome group(n=420).There were no statistically significant differences in gender,age,smoking history,drinking history,and comorbidities between the two groups(P>0.05).The scores of the two groups were evaluated using the diagnostic scale for the toxic pathogen syndrome in HF.The toxic pathogen syndrome group had higher scores in all four dimensions and the total scale than the non-toxic pathogen syndrome group(P<0.01),indicating good discriminant validity of the scale.Structural validity assessment:principal component analysis was used to extract 28 factors,and a total of 7 common factors were extracted,with a total variance contribution rate of 60.554%.The absolute values of the loadings of each item were basically greater than 0.5,and the commonalities of the corresponding dimensions ranged from 52.1%to 96.5%,indicating good structural validity of the scale.The acceptance rate of the scale in this evaluation was 100%,the completion rate was 100%,and the average completion time was between 6 and 8 minutes,indicating good feasibility of the scale.Conclusion The diagnostic scale for the toxic pathogen syndrome in HF has good reliability,validity,and feasibility.

Objective:To construct a sizeable naive human Fab phage display antibody library to screen high-affinity specific antibodies in vitro. Methods:Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of 126 healthy individuals, subsequently reverse-transcribed into cDNA, and used as a template. PCR amplification was performed to obtain the V H from IgG, IgM and light chain κ, λ, separately, with the initial PCR products serving as templates for a second round of PCR. Overlap extension PCR was employed to generate fragments of the κ and λ light chains. These fragments were ligated with the phage vector pNC3, which harbors the variable region 1 of the heavy chain, to construct a recombinant phage plasmid. This plasmid was then electroporated into competent Escherichia Coli TG1 cells to establish a naive human Fab phage display antibody library. One hundred clones were randomly selected for identification and sequencing, and antibody gene polymorphisms were analyzed using the IMGT database and MAFFT software. Recombinant α-hemolysin from Staphylococcus aureus was utilized to screen Fab antibody fragments through biopanning of the antibody library, followed by random selection of phage ELISA-identified clones. The positive clones (antigen A450∶blank control A450≥2.1) were sequenced. Results:Two large naive Fab phage display antibody libraries were successfully constructed, in which the capacity of κ and λ chain antibody libraries were 1.25×10 11 and 1.54×10 11, respectively. The titers for two antibody libraries were 6.04×10 13 CFU/ml and 3.50×10 13 CFU/ml. The positive transformation insertion rates for κ and λ chain antibody libraries were 96% (96/100) and 100% (100/100), respectively. Sequence analysis revealed that all antibody sequences were unique. The amino acid sequences in the skeletal region were relatively conserved. In contrast, significant variations in the length of the complementarity determining region (CDR) were found, and the diversity of amino acid sequence of the complementary determining region was high, especially the CDR3. Analysis using the IMGT database indicated that the sequences exhibited a broad distribution across variable-diversity-joining gene families. After six rounds of panning, specific phage antibodies enrichment targeting α-hemolysin were achieved. A total of 142 monoclonal antibodies were sequenced, yielding 8 distinct Fab antibody sequences. Conclusion:This study successfully constructed two naive human Fab phage display antibody libraries with large capacity and good diversity, which can be used for screening human antibodies for serum epidemiology.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

ObjectiveTo explore the data standard system of electronic medical records in the field of rehabilitation, focusing on the terminology and coding standards, data structure, and key content categories of rehabilitation electronic medical records. MethodsBased on the Administrative Norms for the Application of Electronic Medical Records issued by the National Health Commission of China, the electronic medical record standard architecture issued by the International Organization for Standardization and Health Level Seven (HL7), the framework of the World Health Organization Family of International Classifications (WHO-FICs), Basic Architecture and Data Standards of Electronic Medical Records, Basic Data Set of Electronic Medical Records, and Specifications for Sharing Documents of Electronic Medical Records, the study constructed and organized the data structure, content, and data standards of rehabilitation electronic medical records. ResultsThe data structure of rehabilitation electronic medical records should strictly follow the structure of electronic medical records, including four levels (clinical document, document section, data set and data element) and four major content areas (basic information, diagnostic information, intervention information and cost information). Rehabilitation electronic medical records further integrated information related to rehabilitation needs and characteristics, emphasizing rehabilitation treatment, into clinical information. By fully applying the WHO-FICs reference classifications, rehabilitation electronic medical records could establish a standardized framework, diagnostic criteria, functional description tools, coding tools and terminology index tools for the coding, indexing, functional description, and analysis and interpretation of diseases and health problems. The study elaborated on the data structure and content categories of rehabilitation electronic medical records in four major categories, refined the granularity of reporting rehabilitation content in electronic medical records, and provided detailed data reporting guidance for rehabilitation electronic medical records. ConclusionThe standardization of rehabilitation electronic medical records is significant for improving the quality of rehabilitation medical services and promoting the rehabilitation process of patients. The development of rehabilitation electronic medical records must be based on the national and international standards. Under the general electronic medical records data structure and standards, a rehabilitation electronic medical records data system should be constructed which incorporates core data such as disease diagnosis, functional description and assessment, and rehabilitation interventions. The standardized rehabilitation electronic medical records scheme constructed in this study can support the improvement of standardization of rehabilitation electronic medical records data information.

ObjectiveTo analyze the data structure and standards of rehabilitation outpatient medical records, to provide data support for improving the quality of rehabilitation outpatient care and developing medical insurance payment policies. MethodsBased on the normative documents issued by the National Health Commission, Basic Standards for Medical Record Writing and Standards for Electronic Medical Record Sharing Documents, in accordance with the Quality Management Regulations for Outpatient (Emergency) Diagnosis and Treatment Information Pages (Trial), reference to the framework of the World Health Organization Family of International Classifications (WHO-FICs), the data framework and content of rehabilitation outpatient medical records were determined, and the data standards were discussed. ResultsThis study constructed a data framework for rehabilitation outpatient medical records, including four main components: patient basic information, visit process information, diagnosis and treatment information, and cost information. Three major reference classifications of WHO-FICs, International Classification of Diseases, International Classification of Functioning, Disability and Health, and International Classification of Health Interventions,were used to establish diagnostic standards and standardized terminology, as well as coding disease diagnosis, functional description, functional assessment, and rehabilitation interventions, to improve the quality of data reporting, and level of quality control in rehabilitation. ConclusionThe structuring and standardization of rehabilitation outpatient medical records are the foundation for sharing of rehabilitation data. The using of the three major classifications of WHO-FICs is valuable for the terminology and coding of disease diagnosis, functional description and assessment, and intervention in rehabilitation outpatient medical records, which is significant for sharing and interconnectivity of rehabilitation outpatient data, as well as for optimizing the quality and safety of rehabilitation medical services.

ObjectiveTo explore the standardization of inpatient rehabilitation medical record summary sheet, encompassing its structure, content and data standards, to enhance the standardization level of inpatient rehabilitation medical record summary sheet, improve data reporting quality, and provide accurate data support for medical insurance payment, hospital performance evaluation, and rehabilitation discipline evaluation. MethodsBased on the relevant specifications of the National Health Commission's Basic Norms for Medical Record Writing, Specifications for Sharing Documents of Electronic Medical Records, and Quality Management and Control Indicators for Inpatient Medical Record Summary Sheet (2016 Edition), this study analyzed the structure and content of the inpatient rehabilitation medical record summary sheet. The study systematically applied the three major reference classifications of the World Health Organization Family of International Classifications, International Classification of Diseases (ICD-10/ICD-11, ICD-9-CM-3), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), for disease diagnosis, functional description and assessment, and rehabilitation intervention, forming a standardized terminology system and coding methods. ResultsThe inpatient rehabilitation medical record summary sheet covered four major sections: inpatient information, hospitalization information, diagnosis and treatment information, and cost information. ICD-10/ICD-11 were the standards and coding tools for admission and discharge diagnoses in the inpatient rehabilitation medical record summary sheet. The three functional assessment tools recommended by ICD-11, the 36-item version of World Health Organization Disability Assessment Schedule 2.0, Brief Model Disability Survey and Generic Functioning domains, as well as ICF, were used for rehabilitation functioning assessment and the coding of outcomes. ICHI Beta-3 and ICD-9-CM-3 were used for coding surgical procedures and operations in the medical record summary sheet, and also for coding rehabilitation intervention items. ConclusionThe inpatient rehabilitation medical record summary sheet is a summary of the relevant content of the rehabilitation medical record and a tool for reporting inpatient rehabilitation data. It needs to be refined and optimized according to the characteristics of rehabilitation, with necessary data supplemented. The application of ICD-11/ICD-10, ICF and ICHI Beta-3/ICD-9-CM-3 classification standards would comprehensively promote the accuracy of inpatient diagnosis of diseases and functions. Based on ICD-11 and ICF, relevant functional assessment result data would be added, and ICHI Beta-3/ICD-9-CM-3 should be used to code rehabilitation interventions. Improving the quality of rehabilitation medical records and inpatient rehabilitation medical record summary sheet is an important part of rehabilitation quality control, and also lays an evidence-based data foundation for the analysis and application of inpatient rehabilitation medical record summary sheet.

ObjectiveTo systematically analyze the global policy framework, standard systems and application technology models of digital rehabilitation within the framework of the World Health Organization (WHO) Global Digital Health Strategy and propose policy recommendations for the future development of digital rehabilitation. MethodsBased on the policies on digital health and rehabilitation development issued by the WHO, focusing on the Global Digital Health Strategy, Rehabilitation 2030 Initiative, Rehabilitation in Health Systems, Rehabilitation in Health Systems: A Guide for Action, and World Report on Disability, a systematic review was conducted, to explore the policy architecture and core content of digital rehabilitation, the standard system for digitalizing rehabilitation, and key technological models for the development of digital rehabilitation. ResultsIn the context of global health and digital transformation, the development of digital rehabilitation services was an essential component of the global digital health strategy. Building a comprehensive policy framework and content system for digital rehabilitation was critical for strengthening rehabilitation data governance, enhancing data utilization efficiency, and ensuring data privacy and security. Empowering rehabilitation with digital technology was vital for improving the standardization, effectiveness, coverage, quality and safety of rehabilitation services. International digital rehabilitation policies primarily involved the following areas: policy and governance, digital standard systems, data privacy, security and ethics, digital talent cultivation and capacity building, and monitoring, evaluation and continuous improvement of digitally empowered rehabilitation services. The standard system for rehabilitation digitization covered the three major reference classifications of the WHO Family of International Classifications, including International Classification of Diseases Eleventh Revision (ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI), especially ICF. It also included international data interoperability standards, data security and privacy protection standards, data quality and certification standards, and health information standards, etc. The application technology models of digital rehabilitation primarily included data-driven service models, artificial intelligence -enabled models, and remote rehabilitation models combined with virtual reality, augmented reality technologies, and Internet of Things support. ConclusionThe establishment and implementation of comprehensive policies, standards and technological models for digital rehabilitation are crucial for driving the digital transformation and development of global rehabilitation services. Under the framework of the WHO Global Digital Health Strategy, it is necessary to build adaptive digital rehabilitation policy frameworks, and enhance digital governance capabilities and levels, establishing and improving digital rehabilitation standard systems, and promoting the interoperability and integration of rehabilitation data with other health big data. Meanwhile, it is essential to actively develop data-driven technological models for rehabilitation services to comprehensively improve the accessibility, availability, quality and safety of rehabilitation services.

Objective:To construct a sizeable naive human Fab phage display antibody library to screen high-affinity specific antibodies in vitro. Methods:Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of 126 healthy individuals, subsequently reverse-transcribed into cDNA, and used as a template. PCR amplification was performed to obtain the V H from IgG, IgM and light chain κ, λ, separately, with the initial PCR products serving as templates for a second round of PCR. Overlap extension PCR was employed to generate fragments of the κ and λ light chains. These fragments were ligated with the phage vector pNC3, which harbors the variable region 1 of the heavy chain, to construct a recombinant phage plasmid. This plasmid was then electroporated into competent Escherichia Coli TG1 cells to establish a naive human Fab phage display antibody library. One hundred clones were randomly selected for identification and sequencing, and antibody gene polymorphisms were analyzed using the IMGT database and MAFFT software. Recombinant α-hemolysin from Staphylococcus aureus was utilized to screen Fab antibody fragments through biopanning of the antibody library, followed by random selection of phage ELISA-identified clones. The positive clones (antigen A450∶blank control A450≥2.1) were sequenced. Results:Two large naive Fab phage display antibody libraries were successfully constructed, in which the capacity of κ and λ chain antibody libraries were 1.25×10 11 and 1.54×10 11, respectively. The titers for two antibody libraries were 6.04×10 13 CFU/ml and 3.50×10 13 CFU/ml. The positive transformation insertion rates for κ and λ chain antibody libraries were 96% (96/100) and 100% (100/100), respectively. Sequence analysis revealed that all antibody sequences were unique. The amino acid sequences in the skeletal region were relatively conserved. In contrast, significant variations in the length of the complementarity determining region (CDR) were found, and the diversity of amino acid sequence of the complementary determining region was high, especially the CDR3. Analysis using the IMGT database indicated that the sequences exhibited a broad distribution across variable-diversity-joining gene families. After six rounds of panning, specific phage antibodies enrichment targeting α-hemolysin were achieved. A total of 142 monoclonal antibodies were sequenced, yielding 8 distinct Fab antibody sequences. Conclusion:This study successfully constructed two naive human Fab phage display antibody libraries with large capacity and good diversity, which can be used for screening human antibodies for serum epidemiology.