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.

Objective To systematically evaluate the methodological quality and the measurement attributes of the assessment tools for risk of falls perception in the elderly,therefore to provide evidence-based references for medical staff to select a proper assessment tool.Methods Literature on studies of the assessment tools for risk of falls perception in the elderly was retrieved across databases and websites including Medline,Embase,PubMed,Web of Science,CINAHL,China National Knowledge Infrastructure(CNKI),Wanfang Data,VIP and China Biology Medicine(CBM).The retrieval period was from the inception of the databases to 1st June,2024.Two researchers independently screened the retrieved literature and extracted the data.The bias risk list and quality standards of the consensus-based standards for the selection of health measurement instruments(COSMIN)were used to systematically evaluate the attributes of the assessment tools.Results A total of 22 studies were included,covering 21 scales for the risk of falls perception in the elderly.All the scales had certain risks of bias,and none of them reported cross-cultural validity/measurement equivalence and measurement error.The fall risk questionnaire(FRQ)was rated as Class C recommendation due to the high-quality evidences indicated its"inadequate"internal consistency and responsiveness.The remaining scales were rated as Class B recommendation due to their uncertainty in content validity.Conclusion In comparison with the assessment tools for risk of falls perception in the elderly,the self-awareness of falls in elderly scale(SAFE,a primary choice)and the fall risk perception scale for the elderly in community(FRPSE,the secondary choice)are recommended for their comprehensive structure of measurement and relatively complete evaluation of measurement.However,further studies are required to validate the clinical applicability and measurement attributes of the SAFE and FRPSE.

Objective To investigate the correlation between 23 metals and metalloids elements in the urine and thyroid function indicators in the blood of traffic police. Methods A cross-sectional study was performed to assess the effects of 23 metals and metalloids elements in the urine on blood thyroid function indicators in 166 traffic policemen (122 field staff and 44 internal staff) in Wuhan, Hubei Province. Each subject received an occupational health examination. Results After multiple corrections for false detection rates, in the polymetallic model, the levels of urinary manganese and urinary uranium were positively correlated with the levels of thyroid peroxidase antibody (TPOAb) in the blood (β = 66.57, 95% CI 2.92-130.22, P = 0.040 and β = 62.43, 95% CI 14.37-110.49, P = 0.011), and the level of urinary uranium was positively correlated with thyroid stimulating hormone (TSH) levels in the blood (β = 6.20, 95% CI 2.68-9.72 , P = 0.001). Urinary uranium level was negatively correlated with free thyroxine level in the blood (FT4) (β = -2.03, 95 % CI (-3.67 )- (-0.39), P = 0.015), and urinary lead level was negatively correlated with blood TSH level (β = -4.59, 95% CI (-8.67) - (-0.51), P = 0.027). Conclusion Manganese exposure is related to the increase of TPOAb level in blood, uranium exposure is related to the increase of TPOAb and TSH levels and the decrease of FT4 level in blood, and lead exposure is related to the decrease of TSH level in blood, suggesting that more attention should be paid to the effects of heavy metals on the thyroid of traffic police.

Objective To investigate the mechanism of C-C motif chemokine ligand 5(CCL5)modulation by extracellular matrix stiffness in non-small cell lung cancer(NSCLC)and to determine the effect of CCL5 on the immunotherapy response of NSCLC.Methods The correlation between extracellular matrix stiffness and CCL5 expression in NSCLC was analyzed with the TCGA database.Polyacrylamide hydrogels with different stiffness were designed according to the extracellular matrix stiffness of NSCLC,and H1299 cells responding to the mechanical loading of hydrogel matrix stiffness were subjected to transcriptome sequencing.High matrix stiffness was verified to promote the expression of CCL5 by using sequence.Results High extracellular matrix stiffness upregulated CCL5 expression,and interferon-γ mediated signaling pathway might be involved in the process.NSCLC patients with high CCL5 expression had a greater abundance of cytotoxic T-cells in tumor tissue and reacted favorably to anti-programmed cell death protein 1 treatment.Conclusion Increased extracellular matrix stiffness promotes CCL5 synthesis,and CCL5 enhances immunotherapy responsiveness in NSCLC by increasing cytotoxic T cell infiltration in tumor tissue.

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 analyze the causal relationship between gut microbiota and gestational diabetes,and to clarify its mechanism.Methods:Two-sample Mendelian randomization(MR)analysis was conducted by using summary data from genome-wide association study(GWAS)for gut microbiota and gestational diabetes.The GWAS data of gut microbiota were obtained from a GWAS study from the MiBioGen consortium;the GWAS data on gestational diabetes were sourced from the FinnGen consortium's publicly available R8 dataset;inverse variance weighted(IVW)method was used as the primary method to detect the causal association between the gut microbiota and the gestational diabetes.Sensitivity analysis was performed by Weighted Median and MR Egger methods;heterogeneity and pleiotropy were detected by Cochran's Q,MR-PRESSO,Egger intercept tests and Leave-One-Out analysis;multivariable MR was used to adjust for the effect of body mass index(BMI);reverse MR was used to explore the presence of reverse causal associations;Gene Ontology(GO)fuctional and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling enrichment analyses were used to explore the potential pathways through which gut microbiota may have impact on gestational diabetes.Results:Four gut microbes were found to be causally associated with gestational diabetes:the genus Methanobrevibacter and the phylum Euryarchaeota displayed negative causal relationships with the risk of gestational diabetes,while the genus Olsenella and genus Lachnoclostridium exhibited positive causal associations.No significant heterogeneity or horizontal pleiotropy was detected in the analysis.The reverse MR analysis did not reveal any causal relationship.After adjusting for BMI,the multivariable MR analysis results showed there were the causal associations between the genus Olsenella and the phylum Euryarchaeota with the risk of gestational diabetes.The GO fuctional and KEGG signaling pathway enrichment analyses results showed that axon development,axon production,insulin secretion and other pathways were significantly enriched.Conclusion:There are causal associations between four gut microbes and gestational diabetes.Among them,the significant correlations with gestational diabetes are still observed in phylum Euryarchaeota and genus Olsenella after adjusting for BMI.

Bevacizumab, an anti-VEGF monoclonal antibody, has significantly improved the clinical outcomes of patients with advanced non-squamous NSCLC (ns-NSCLC). However, the safety and efficacy of bevacizumab for elderly patients with advanced NSCLC require further investigation. Thus, 59 patients were included in the present retrospective study, 22 patients in the bevacizumab plus pemetrexed and platinum (B + PP) group, and 37 patients in the pemetrexed and platinum (PP) group. For the entire cohort of patients, the median OS was 33.3 months, and the 1-year and 2-year overall survival rates were 88.5% and 67.8%, respectively. The median OS and 1-year and 2-year OS rates were 20.5 months, 70.3% and 0%, respectively, in the B + PP group and 33.4 months, 97.0% and 89.4%, respectively, in the PP group (P < 0.001). The incidence of grade ⩾ 3 adverse events was higher in the B + PP group than in the PP group (27.3% vs. 10.8%, respectively; P = 0.204). Univariate and multivariate analyses suggested that the receipt of ⩾ 5 cycles of first-line chemotherapy was an independent favorable prognostic factor for OS, whereas the addition of bevacizumab was an unfavorable prognostic factor. With increased toxicities, the addition of bevacizumab to PP does not improve the overall survival of elderly patients with advanced ns-NSCLC.
Aged ; Antineoplastic Combined Chemotherapy Protocols/adverse effects* ; Bevacizumab/adverse effects* ; Carcinoma, Non-Small-Cell Lung/drug therapy* ; Humans ; Lung Neoplasms/drug therapy* ; Pemetrexed/adverse effects* ; Platinum/therapeutic use* ; Retrospective Studies ; Treatment Outcome