Objective:To retrieve, evaluate and integrate the evidence related to the preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital, so as to provide reference for clinical implementation of extracorporeal cardiopulmonary resuscitation.Methods:According to the evidence-based nursing method and the 6S evidence model, guidelines, clinical decisions, expert consensus, systematic review and other literatures related to the preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital were searched from National Guideline Clearinghouse, Scottish Intercollegiate Guidelines Network, National Institute for Health and Care Excellence, and other websites, UpToDate, The Cochrane Library, PubMed, Embase, CNKI, Wanfang and other databases. The retrieval date limit was from the establishment of the database to May 20, 2023. Researchers assessed the quality of the included articles, and extracted and summarized the evidence that met the quality standards.Results:A total of 11 articles were included, including 2 guidelines, 6 expert consensuses, 1 systematic review and 2 quasi-experimental studies. A total of 18 pieces of evidences were summarized from 6 aspects, including medical conditions, team building, materials management, operation mechanism, pre-initiating treatment and initiating judgment.Conclusions:This study summarizes the evidence of preparation process for initiating extracorporeal cardiopulmonary resuscitation in hospital, which can provide reference for promoting the implementation of extracorporeal cardiopulmonary resuscitation. Future studies still need to focus on team building, personnel training and assessment, and optimisation of the management system, so as to improve the efficiency and readiness of treatment.

BACKGROUND:At present,measurement osteotomy technique and gap balance technique are the two main surgical methods in total knee arthroplasty.Both methods have their advantages and disadvantages.By adjusting the osteotomy angle,the gap balance technique can reduce the release of soft tissue and obtain a more balanced flexion and extension space.The clinical efficacy of gap balance technique is superior,but this surgical method lacks tools and is easily influenced by the surgeon's surgical experience and subjective judgment,with more errors.Measurement osteotomy technique has a short learning curve,but it relies on anatomic markers and is prone to many complications due to inaccurate positioning.In recent years,many instrument companies have successively developed and launched tools that can improve the quality of surgery.However,there are still few reports about the tool. OBJECTIVE:To compare the clinical efficacy of gap balance technique and measurement osteotomy technique under Offset Repo-Tensor in total knee arthroplasty,and explore the value of Offset Repo-Tensor in total knee arthroplasty. METHODS:The medical records of 85 patients with total knee arthroplasty were collected and divided into two groups according to the operation method.Group A consisted of 44 patients who underwent total knee arthroplasty using a gap balance technique combined with Offset Repo-Tensor.Group B consisted of 41 patients who underwent total knee arthroplasty using measurement osteotomy technique.Surgical time,American Knee Society Score,knee range of motion,changes in lower limb alignment,and postoperative complications were compared between the two groups to evaluate the clinical efficacy of gap balance technique combined with Offset Repo-Tensors in total knee arthroplasty. RESULTS AND CONCLUSION:(1)All 85 patients were followed up.(2)Postoperative knee range of motion in both groups was higher than that before surgery(P<0.05),and the improvement in group A was more significant than that in group B(P<0.05).(3)American Knee Society Score in both groups after surgery was higher than that before surgery(P<0.05),and the American Knee Society Score in group A was higher than that in group B at 2 weeks,1,3 months,and the last follow-up(P<0.05).(4)The operation time of group A was slightly shorter than that of group B,but the difference was not significant(P>0.05).(5)The lower limb alignment in both groups was improved after operation,but there was no significant difference between the two groups(P>0.05).(6)The complication rate of group A(2%)was lower than that of group B(7%),but there was no significant difference between the two groups(P>0.05).(7)It is indicated that compared with the measurement osteotomy technique,the combination of Offset Repo-Tensor and gap balance technique can elevate the clinical effect and improve the function and motion range of the knee joint.

Objective To investigate the effects of chronic intermittent hypoxia(CIH)and reoxygenation on insulin resistance(IR)and expressions of miR-27a-3p/PPARγ/IRS1/PI3K/AKT in rat skeletal muscle.Methods GEO database was used for screening the differentially expressed miRNAs in CIH,and their target genes were subjected to GO and KEGG enrichment analysis followed by construction of the miRNA-mRNA-pathway regulatory network using Cytoscape.In the animal experiment,48 male SD rats were randomly divided into normoxia group and CIH group(8 weeks of CIH followed by 4 weeks of normoxic recovery).Blood and skeletal muscle samples were collected at baseline,8 weeks,and 12 weeks to evaluate the changes in fasting blood glucose(FBG)and fasting insulin(FINS)levels and muscular pathology.RT-qPCR and Western blotting were used to detect the changes in the expressions of miR-27a-3p,PPARγ,GLUT4,IRS1,p-IRS1,PI3K,p-AKT and AKT in the muscular tissues.Results No muscular miRNA datasets for CIH were available in GEO database,from which only a kidney-related dataset(GSE202480)was obtained,based on which a total of 165 differentially expressed miRNAs were identified.GO/KEGG analysis suggested that these miRNAs were involved in muscular regulation and insulin signaling.The miRNA-mRNA-pathway network highlighted miR-27a-3p as a crucial regulator in the PPAR and PI3K/AKT pathway.In the animal experiment,the rats subjected to CIH for 8 weeks showed significantly increased FBG,FINS,HOMA-IR,and PPARγ levels,loose muscle fiber arrangement,decreased cross-sectional area of the muscle fibers,and lowered expressions of miR-27a-3p,p-IRS1/IRS1,PI3K,and p-AKT/AKT in the skeletal muscles.Conclusion CIH increases IR,causes skeletal muscle pathology,downregulates miR-27a-3p expression,upregulates PPARγ expression,and inhibits IRS1/PI3K/AKT insulin signaling in the skeletal muscles of rats,and these changes can be reversed by reoxygenation.MiR-27a-3p may participate in CIH-induced IR by modulating the PPAR γ/IRS1/PI3K/AKT signaling pathway.

Objective To analyze the interaction between voriconazole(VRC)and immunosuppressants such as tacrolimus and cyclosporine and the effect of CYP2C19 gene polymorphism on the interaction and adverse reactions(ADR)based on the results of CYP2C19 gene polymorphism and therapeutic drug monitoring,so as to provide a basis for the development of individualized VRC combined with immunosuppressants.Methods Two-dimensional liquid chromatography and pyrosequencing was used to detect the concentration of VRC and the CYP2C19 gene pol-ymorphism,respectively.And the concentration of immunosuppressants was detected at the same time.The rela-tionship among CYP2C19 gene polymorphism,the concentration of VRC and immunosuppressant and ADR was an-alyzed.Results A total of 61 patients were enrolled in this study,and the mutation rates of CYP2C19*2 and CYP2C19*3 were 54.1％(33/61)and 9.84％(6/61),respectively.The concentrations of VRC in patients with extensive metabolism(EMs),intermediate metabolism(IMs)and poor metabolism(PMs)were(4.44±3.46),(3.62±3.02)and(10.05±1.46)μg/ml(P＜0.05),respectively.The concentration of tacrolimus af-ter combined with VRC significantly increased compared to tacrolimus alone[(13.4±9.2)ng/ml vs(6.5±3.6)ng/ml;P=0.002],and the concentration of tacrolimus increased along with an increasing of VRC concentration.The concentration of VRC in patients combined with tacrolimus was lower than that in patients without immunosup-pressants[(3.81±3.48)μg/ml vs(5.84±3.71)μg/ml;P=0.032].The concentration of VRC inpatients with cyclosporine significantly decreased(P＜0.01),while tacrolimus and mycophenolate mofetil had no signifi-cant effect on the concentration of VRC.45.90％(28/61)of the patients had adverse reactions,the concentration of VRC in patients with ADR was significantly higher than that in patients without ADR[(7.07±3.43)μg/ml vs(3.06±2.90)μg/ml;P＜0.001].And the concentration of VRC in patients with ADR was higher than patients without ADR with based on CYP2C19 genotype.Conclusion CYP2C19 gene polymorphism can significantly affect the concentration and adverse reactions of VRC,and VRC has significant interaction with immunosuppressants such as tacrolimus.CYP2C19 gene polymorphism combined with therapeutic drug monitoring can improve the individual-ized treatment of tacrolimus and voriconazole,and is expected to minimize toxicity and improve treatment effects.

Reducing the mother-to-child transmission of hepatitis B virus(HBV)is crucial for achieving HBV elimination.Launched in July 2015 at the Great Hall of the People in Beijing,China,the"Zero Hepatitis B Mother-to-Child Transmission Project"(Shield Project)is a public welfare initiative integrating scientific prevention and applied research and aims to perform standardized management of pregnant women with hepatitis B using the mobile application of"Shield Project",in order to further reduce or eliminate the mother-to-child transmission of HBV.At present,the Shield Project has expanded nationwide,offering detailed implementation strategies,successful practices,and reliable data to support the global effort to eliminate the mother-to-child transmission of HBV.This article introduces the implementation strategies and outcomes of the Shield Project in four representative cases,in order to provide strong evidence for further understanding and preventing the mother-to-child transmission of HBV.

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.

Objective To comprehensively understand the dynamic transcriptional landscape during infection through investigating the temporal molecular changes in macrophages RAW 264.7 upon infection with Salmonella typhimurium SL1344.Methods Macrophages RAW 264.7 were infected with Salmonella typhimurium SL1344,and cell samples were collected at 0 h,8 h,and 16 h for RNA-sequencing(RNA-seq).Upstream and downstream analyses of the transcriptome data including differential gene expression,clustering,functional annotation,and mo-lecular network studies were conducted to elucidate the signaling pathways changes in macrophages.Results Infec-ted macrophages exhibited significant morphological and transcriptional changes.Differential gene analysis identified significant upregulation and downregulation patterns.Clustering revealed six gene clusters involving various signaling pathways,such as immune response,membrane transport,and lipid catabolic process.Conclusions Macrophages dynamically respond to Salmonella typhimurium infection,displaying distinct temporal gene expression patterns.The coordinated activation of immune response,membrane transport,and lipid catabolic process pathways implies a multifaceted cellular adaptation to external infections,providing essential insights into the molecular mechanisms of macrophage response to Salmonella typhimurium infection.

Objective:To develop a deep learning model based on multimodal data for glaucoma diagnosis and severity assessment.Methods:A diagnostic test was conducted.A total of 145 normal eyes from 86 participants and 507 eyes with primary open-angle glaucoma from 314 participants were collected at the First Affiliated Hospital of Kunming Medical University from June to December in 2023.Fundus photographs and visual field data were obtained, and glaucoma eyes were divided into three groups based on the mean deviation value of the visual field, namely mild group (154 eyes), moderate group (113 eyes), and severe group (240 eyes).Three convolutional neural network (CNN) models, including DenseNet 121, ResNet 50 and VGG 19, were used to build an artificial intelligence (AI) model.The impact of single-modal and multimodal data on the classification results was evaluated, and the most appropriate CNN network architecture for multimodal data was identified.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of The First Affiliated Hospital of Kunming Medical University (No.2023L93).Written informed consent was obtained from each subject.Results:A total of 652 eyes had both fundus photographs and visual field test results.Images were randomly assigned to training and test datasets in a 4∶1 ratio by using computer random number method.AI models built with different CNN models showed high accuracy, with DenseNet 121 outperforming ResNet 50 and VGG 19 on various effectiveness measures.In the single-modal algorithm using fundus photographs, single-modal algorithm using visual field tests, and multimodal algorithm combining fundus photographs and visual field data, the area under the curve for early glaucoma detection was 0.87, 0.93 and 0.95, respectively.Conclusions:The use of multimodal data enables the development of a highly accurate tool for the glaucoma diagnosis and severity grading.