Objective To analyze the factors associated with pain after arthroscopic rotator cuff bridge suture.Methods According to the inclusion and exclusion criteria,the data of 112 patients with unilateral rotator cuff injury who received arthroscopic bridge suture in our department were collected and were investigated in the form of telephone follow-up.In this study,SPSS 23.0 was used to input data and conduct statistical analysis.Logistic regression analysis was used to analyze the correlation between the above influencing factors and postoperative pain.Results A total of 112 patients were included for statistical analysis,single factor analysis revealed,including course of disease,smoking history,preoperative University of California,Los Angeles(UCLA)score,Constant score,numeric rating scale(NRS),size of rotator cuff tear,whether it was full-thickness tear and degree of tendon retraction might be related to postoperative pain(P<0.05).The age,gender,body mass index(BMI),drinking history,diabetes and hypertension were not related to postoperative pain(P>0.05).Multiple linear regression analysis concluded that there were four factors related to postoperative pain,and the correlation degree was preoperative NRS,preoperative UCLA score,tear size and smoking history.Conclusion The causes of postoperative pain after arthroscopic rotator cauff repair are complex and diverse.Analyzing the cause of postoperative pain can effectively reduce the pain of patients and promote the recovery of shoulder joint function.

Objective To construct the theoretical framework of rehabilitation big data based on International Classification of Func-tioning,Disability and Health(ICF). Methods Drawing upon international rehabilitation policy documents,such as the World Health Organization's Rehabili-tation in health systems;Rehabilitation in health systems:guide for action;Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME);Template for Rehabilita-tion Information Collection(TRIC):a tool accompanying the Systematic Assessment of Rehabilitation Situation(STARS);and Framework and Standards for Country Health Information Systems;this study examined the com-position and function of rehabilitation big data.The content structure of the rehabilitation big data domain was an-alyzed using the World Health Organization Family of International Classifications(WHO-FICs).Furthermore,the generation patterns of rehabilitation big data was constructed drawing on the Health Metrics Network and big data hierarchical classification. Results Within the six primary elements of the health service system,the information system element was particularly significant,encompassing a substantial branch known as rehabilitation big data.There were three components of rehabilitation big data:health condition,health-related factors and health services.The content framework for this data was derived from the WHO-FICs framework,which covered three dimensions:health and function,dis-ease and function,and disease,function and intervention.A comprehensive model for generating and applying re-habilitation big data in rehabilitation services was developed in line with the requirements for constructing big da-ta architectures.The sources of this data included population censuses,social registration information,population surveys,resources,services and personal records.The result chain of rehabilitation big data encompassed five major processes:input,process,output,outcome and impact.The processing and utilization of this data involved collection,storage,management,analysis and application. Conclusion A theoretical framework for rehabilitation big data has been constructed based on the ICF theory.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

ObjectiveTo systematically analyze international disability data policies and standards, as well as the application of disability data in policymaking, service optimization and inclusive social development, and to clarify the importance of international disability data policies, standard systems and disability data application for the development of disability-related services. MethodsThrough the analysis of policy content and research on the data standard system, this study explored the disability data policy framework, standard system and technical path of data interoperability and integration of international organizations including the United Nations (United Nations Statistics Division and United Nations Children's Fund), World Health Orgnization, United Nations Educational Scientific and Cultural Organization, and International Labour Organization. ResultsInternational organizations established disability data policy frameworks based on their respective mandates, involving data and service development, data standards, data governance, and data application. The international community established a disability data standard system for disability data collection, coding, exchange, interoperability, statistical analysis, data fusion and application. Building a standardized disability data standard system based on the framework of international health classification standards such as International Classification of Functioning, Disability and Health, and International Classification of Diseases, Eleventh Revision would ensure the consistency of cross-national disability data policies, and the interoperability and comparability of disability data, promoting the development of data-driven disability-related services, accurately identifying the service needs of people with disabilities, and optimizing service provision, thereby improving the quality of life and social participation of people with disabilities. ConclusionThe construction and implementation of international disability data policies and data standards have promoted the standardization and interoperability of disability data. With the application of big data, artificial intelligence and blockchain technologies in disability data, international cooperation and cross-industry data fusion in the field of disability data have been promoted, further promoting the development of data-driven disability services, ensuring equal opportunities for people with disabilities to enjoy service resources, and improving the coverage and quality of disability services.

Stroke is a cerebrovascular disease characterized by high rates of disability,recurrence and mortal-ity.It results primarily from cerebrovascular rupture or transient/permanent occlusion.Due to the complex pathological mechanism of stroke and the lack of early-stage biomarkers,effective treatment options remain limited.Circular RNAs(circRNAs)are stable and conserved endogenous long noncoding RNA that regulate the pathological process of stroke,in-cluding oxidative stress,inflammation,apoptosis and autophagy.In addition,the regulatory roles of circRNAs in stroke include ceRNA,DNA methylation and histone modification.This review provides a comprehensive overview of circRNA biogenesis,major functions and characteristics.Furthermore,it presents the latest research findings on circRNAs in the context of stroke pathology,with the aim of providing new insights and potential approaches for unraveling the underlying mechanism,diagnosis and treatment of such diseases.

Objective To investigate the effect of rapid ultrasonic tissue processing on breast biopsy tissue.Methods Totally 100 breast puncture samples from the Department of Pathology at Shengjing Hospital of China Medical University in 2023 were randomly selected and dehydrated using rapid ultrasound tissue processing technology(the rapid group).Paired surgical samples(0.3 cm×0.3 cm×0.3 cm)that did not undergo neoadjuvant therapy before surgery were collected and subjected to routine pathological tissue treat-ment(the conventional group).The two groups of samples were subjected to routine sectioning after dehydration.The dehydration time,hematoxylin and eosin(HE)staining effect,and fluorescence in situ hybridization(FISH)results of the two groups were compared.Next,the estrogen receptor(ER),progesterone receptor(PR),and human epidermal growth factor receptor 2(HER2)immunohistochemical(IHC)detection results of the two groups were compared using the kappa test with paired counting data.Results Dehydration time in the rapid group(46.70±1.42 min)was significantly shorter than that in the conventional group(659.25±6.03 min,t=987.44,P<0.001).No significant differences were observed between the HE staining scores of the rapid group(10.13±1.12)and that of the conventional group(10.15±0.97).The consistency rate of ER expression between the two groups was 92.5%(Kappa=0.794,P<0.05),that of PR expres-sion between the two groups was 76.25%(Kappa=0.639,P<0.05),and that of HER2 expression between the two groups was 72.5%(Kappa=0.610,P<0.05).The FISH results were consistent between the two groups.Conclusion Rapid ultrasonic tissue treatment has the advantages of a short procedure time,less pollution,and simple operation.The present study showed no statistically significant differences between the effect of rapid tissue treatment on tissue sections and that of routine dehydration.Therefore,this method can be widely used in pathology for the analysis of small samples.

Polymer self-healing is mainly based on the molecular structure and interaction of polymers, and some need external stimulation, such as light, heat, pH, etc. In recent years, many studies have found that the self-healing properties of polymers can prolong the life of materials, while maintaining the mechanical properties of polymers after healing. According to the different action modes of polymer materials, it can be divided into autonomous self-healing and non-autonomous self-healing. Among them, autonomous self-healing mainly works through reversible covalent bonds (Schiff base bond, Diels-Alder reaction, hydrazide bond), reversible non-covalent bonds (hydrogen bond, metal-ligand coordination bond, electrostatic interaction, π-π stacking interaction, hydrophobic interaction) and a combination of the two interactions. Drug carriers with unique self-healing properties play an important role in the encapsulation and stable release of biomacromolecules. In this review, the self-healing mechanism of polymers and their applications in the field of biomedicine were briefly summarized and discussed.

To identify the active constituents in vitro and blood-absorbed ingredients in vivo from Yin Chen Hao decoction provides scientific evidence for probing its prevention and treatment mechanism on acute liver injury. An ultrahigh performance liquid chromatography quadrupole-time of flight-mass spectrometry (UPLC-QTOF/MS) method was applied for analysis of Yin Chen Hao decoction and the serum samples of mice with con-A induced acute liver injury after preventive oral administration for 14 days (the use of all laboratory animals in this study was approved by the Ethics Committee of the Naval Medical University, 19YF1459400). A total of 90 chemical constituents were identified from Yin Chen Hao decoction, mainly were flavonoids, terpenoids, tannins, quinones. 5 prototype compounds were identified in the serum, including chrysophanol, deoxyrhapontin-8-O-gallate, mussaenosidic acid, herniarin, emodin. The established UPLC-QTOF/MS method could efficiently and sensitively identify the constituents in vitro and blood-absorbed ingredients of Yin Chen Hao decoction, primarily clarify the material basis of its hepatoprotective effect, and provided a scientific basis for the quality marker selection and the pharmacodynamic material basis research on the decoction.

Rhamnose synthase (RHM) is a key enzyme in the biosynthesis of uridine diphosphate rhamnose (UDP-Rha), reversibly converting uridine diphosphate-glucose (UDP-Glc) into UDP-Rha in the presence of NADH or NADPH. In this research, yeast extract (YE) was used to stimulate Sorbus aucuparia suspension cells. Based on a previous study of the transcriptome database of S. aucuparia suspension cells, two RHMs were cloned from S. aucuparia and named SaRHM1 (GenBank No.: MK213340) and SaRHM2 (GenBank No.: MK213341). The SaRHM1 gene contained a 2 007 bp open reading frame (ORF) encoding a polypeptide of 668 amino acids with a molecular weight of 75.25 kD, and a theoretical isoelectric point (pI) of 7.24. The SaRHM2 gene contained a 2 040 bp ORF encoding a polypeptide of 679 amino acids with a molecular weight of 76.26 kD and pI of 6.41. Bioinformatic analysis indicated that SaRHM1 and SaRHM2 contained two special sequences of GxxGxxG/A and YxxxK. Multiple sequence alignments and phylogenetic trees show that SaRHM1 and SaRHM2 have high sequence similarity with other plant species of RHMs. The results of enzyme activity assays in vitro revealed that both recombinant SaRHM1 and SaRHM2 are able to convert UDP-Glc into UDP-Rha. SaRHMs displayed maximum activity at 40 ℃ and a pH of 8 and 9, respectively. The K_m values of SaRHM1 and SaRHM2 for UDP-Glc were 212.4 ± 56.70 and 361.0 ± 63.74 μmol·L^-1, respectively, with V_max values of 235.5 ± 18.98 and 516.5 ± 22.30 nmol·min^-1·μg^-1, respectively. This study reports the cloning and sequencing of RHMs from S. aucuparia and verifies their function, which likely provide rhamnose donors for the subsequent biosynthesis of rhamnosides.

Objectives:To systematically analyze the framework and contents of World Health Organization (WHO) policy and action strategies on rehabilitation using the theory of WHO health service components, to explore the theoretical bases, methodology, framework and core elements of WHO's international rehabilitation policy. Methods:WHO has launched rehabilitation-related policy documents, mainly including Rehabilitation in Health Systems, Rehabilitation in Health Systems: Guide for Action, Rehabilitation Indicator Menu: a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation (FRAME), Template for Rehabilitation Information Collection (TRIC): a tool accompanying the Systematic Assessment of Rehabilitation Situation (STARS), and established systems of international rehabilitation policy architecture system. Using content analysis, this study analyzed in detail the theoretical basis and methodology of international rehabilitation policy, the policy framework, and the core elements of the action strategy and priority areas of rehabilitation service development in perspective of WHO six building blocks of health system, namely leadership and governance, financing, human resources for health, service delivery, medical technology, and health information systems. Results:WHO rehabilitation policy is developed based on WHO's theories of person-centered health services, social determinants of health, and functioning, disability and health of International Classification of Functioning, Disability and Health. WHO rehabilitation policy recognized that the development of rehabilitation was an important pathway achieving United Nations 2030 Sustainable Development Goals 3, ensure healthy lives and promote well-being for all at all ages, i.e. Unlversal Health Coverage. This paper systematically analyzed WHO's international policy framework, action strategies, and development areas, content and priorities in six major areas: leadership and governance, financing, human resources for health, service delivery, medicine and technology, and health information systems. WHO rehabilitation policies advocates to develop national rehabilitation plans, to establish and improve rehabilitation leaderships and the development of mechanism and capacity of rehabilitation governance, to develop multiple approaches of rehabilitation financing, to integrate rehabilitation into health service system, provides different levels of rehabilitation services in the health service continuum, and to build networks of service delivery, to train professionals, to foster rehabilitation information system within health system, to enhance service quality and service coverage, to focus on key areas and priority programs to meet the diverse needs of different populations, and achieve universal health coverage; to include assistive technology into the rehabilitation service system as a field of medicine and technology; and to collect information on functioning and rehabilitation needs, outcomes and impacts of rehabilitation services in the health information system, and conduct evidence-based researches on rehabilitation systems. Conclusion:The framework and contents of WHO's international rehabilitation policies have systematically reviewed at the macro, meso, and micro levels with the perspective of WHO six building blocks of the health system. The goal of rehabilitation development is to achieve universal rehabilitation coverage. The conceptual theories of rehabilitation are based on the theories of people-centered health services and social determinants of health. Rehabilitation is an important initiative to achieve the United Nations 2030 Sustainable Development Goals. The international rehabilitation health policy system is built on six major areas of rehabilitation: leadership and governance, rehabilitation financing, rehabilitation human resources, rehabilitation service delivery, rehabilitation-related medicine and technology, and rehabilitation and health information system. The policy and action strategies for rehabilitation development, as well as specific implementation paths and methods, at macro, meso and micro levels: theory and policy, policy action, and implementation methods and tools have been reviewed and discussed. The implementation of the WHO rehabilitation policies advocates to take the following actions: strengthening the leadership, governance, planning and coordination capacity of rehabilitation services; constructing a reasonable rehabilitation financing mechanism and raising necessary funds for rehabilitation; improving the training and guarantee mechanism of rehabilitation human resources; enhancing the professional capacity of rehabilitation personnel, improving the capacity of rehabilitation service delivery and improving service quality; improving the quality and accessibility of assistive products and assistive technology services; establishing health information system covering functioning, disability and rehabilitation, and conducting scientific researches on rehabilitation.