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 investigate the reliability and validity of the assessment tools of Brief ICF Core Sets for Arthroplasty of Knee Osteoarthritis in Perioperative Period(ICSAKOPP). Methods From May,2022 to April,2023,320 patients undergoing knee arthroplasty were selected in Peking University Third Hospital,China-Japan Friendship Hospital,Peking University First Hospital and Chinese PLA General Hospital.Trained assessors used Brief ICSAKOPP to evaluate all enrolled patients before arthroplasty,three days(±one day)after arthroplasty,three weeks(±one week)after arthroplasty,and three months(±one month)after ar-throplasty.Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)scores were recorded at the same time.Five professionals were asked to score all the items of Brief ICSAKOPP,and the content validity index(CVI)was caculated. Results A total of 64 cases were dropped down.CVI of all the items of the Brief ICSAKOPP were above 0.8,with a av-erage CVI of the scale of 0.938.The Cronbach's α coefficient of the Brief ICSAKOPP was 0.813.There was a moderate correlation(r=0.681,P<0.001)between the overall Brief ICSAKOPP and WOMAC scores,as well as body functional dimension score(r=0.668,P<0.001)and activities and participation dimension score(r=0.657,P<0.001). Conclusion Brief ICSAKOPP is good in content validity,internal consistency reliability and criterion validity.

Objective:To explore the association between serum high density lipoprotein subtype 3 cholesterol (HDL3-C) levels and the severity and in-stent restenosis of patients with coronary artery disease.Methods:124 patients with coronary artery diseases and 62 healthy controls were included in this clinical case-control retrospective study. Participants were hospitalized from November 2020 to November 2021 at Jinling Hospital, Medical School of Nanjing University were enrolled. Patients with coronary artery disease were as follows: 28 patients with acute coronary syndrome and 96 patients with stable coronary heart disease. Serum HDL3-C levels as well as total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) levels were determined. According to the coronary artery angiography results of all patients at the time of admission, Gensini scores were calculated and patients were divided into in-stent restenosis group ( n=22), no in-stent stenosis group ( n=23) and non-stent implantation group ( n=79). The correlation between HDL3-C levels and other parameters was analyzed by Pearson or Spearman correlation analyses. Multivariate Logistic regression analyses were used to determine the impact of HDL3-C on the in-stent restenosis of coronary artery diseases. Results:Compared with controls, serum levels of HDL3-C and HDL-C were significantly decreased in patients with coronary artery diseases (all P<0.05). There was a significantly negative correlation between HDL3-C levels and Gensini scores ( r=-0.201, P=0.043). Among patients with coronary artery disease, serum levels of HDL3C, TC and TG in the in-stent restenosis group were significantly lower than in no in-stent stenosis group as well as than in the non-stent implantation group (all P<0.05). Multivariate Logistic regression analyses showed that after adjusting for age, sex, lipid-lowering drugs and TC, TG, LDLC parameters, HDL3-C ( OR=0.885, 95% CI 0.791-0.990, P=0.033) and HDL-C ( OR=0.018, 95% CI 0.001-0.426, P=0.013) levels were both independently associated with the occurrence of coronary artery disease; only HDL3-C levels (no in-stent stenosis group as the reference: OR=0.833, 95% CI 0.698-0.994, P=0.042; non-stent implantation group as the reference: OR=0.812, 95% CI 0.685-0.963, P=0.017) were independently associated with the presence of in-stent restenosis ( P<0.05). Conclusions:Serum HDL3-C levels are decreased in patients with coronary artery disease, especially in patients with in-stent restenosis. HDL3-C levels are associated with the severity of coronary artery lesions and the presence of in-stent restenosis of coronary arteries.

ObjectiveTo evaluate the Chinese guidelines and consensus of rehabilitation medicine published in the medical journals in 2022 using Scientific, Transparent and Applicable Rankings (STAR). MethodsGuidelines and consensus which were developed by Chinese institutions or led by Chinese scholars were retrieved in databases of CNKI, Wanfang Data, CBM, Chinese Medical Journal Network, PubMed and Web of Science, in 2022, followed by screening for rehabilitation medicine field. The literature were rated with STAR. ResultsSeven guidelines and eleven consensuses were included. The STAR scores ranged from 11.7 to 69.6, with a median score of 25.9 and mean score of 28.3. There was a significant difference in the total score between guidelines and consensus (U = 12.000, P = 0.014). The score ratio was high in the domains of recommendations (73.6%), evidence (39.5%) and others (33.3%), while it was low in the domains of protocol (1.4%), clinical questions (12.5%) and conflicts of interest (13.9%). The score ratio was high in the items of listing the institutional affiliations of all individuals involved in developing the guideline (94.4%), identifying the references for evidence supporting the main recommendations (94.4%), indicating the considerations (e.g., adverse effects) in clinical practice when implementing the recommendations (88.9%), and making the recommendations clearly identifiable, e.g., in a table, or using enlarged or bold fonts (75%); and it was low in the items of describing the role of funder(s) in the guideline development (0), indicating information about the evaluation and management of conflicts of interest (0), providing tailored editions of the guidelines for different groups of target users (0), presenting the guideline or recommendations visually, such as with figures or videos (0), providing details of the guideline protocol (2.8%), assessing the risk of bias or methodological quality of the included studies (2.8%), describing the responsibilities of all individuals or sub-groups involved in developing the guideline (5.6%), indicating how the clinical questions were selected and sorted (5.6%), formating clinical questions in PICO or other formats (5.6%), making the guideline accessible through multiple platforms (5.6%), and declaring that the funder(s) did not influence the guideline's recommendations (8.3%). ConclusionThe quality of current clinical practice guidelines and consensus of rehabilitation medicine is poor, which should be developed in accordance with the relevant standards.

Objective: To understand the prevalence and risk factors for functional constipation (FC) among high school students in Chongming District of Shanghai. Methods: A cross sectional study was conducted in Chongming District of Shanghai from March-June 2019. A total of 4 969 adolescents under the age of 18 were recruited high schools, using a stratified random sampling technique. A validated self administered questionnaire on Rome IV criteria for diagnosing FC and predisposing factors was filled by each student in a classroom setting. Results: The prevalence of FC among middle school students in Chongming District of Shanghai was 13.95%. There were no significant differences in the prevalence between males and females, middle and high school groups, and urban and rural areas( P ＞0.05). In senior high schools, students in the graduation year were more likely to suffer from FC(17.36%，130/749) than other students (13.77%，201/1 460)( χ 2=5.01, P =0.03). The prevalence of FC in the key senior high schools(18.23%，115/631) was significantly higher than that in ordinary high schools (13.07%，49/375)( χ 2=7.43, P =0.02). Multivariate Logistic regression analysis showed that frequency of physical exercise, and consumption of spicy foods, proportion of spicy foods in the diet, consumption of vegetables, a lower proportion of vegetables in the diet, drinking water, anorexia, quality of sleep and school type were associated with FC in high school students ( OR=0.11-7.71, P <0.05). Conclusion FC is prevalent among high school students on Chongming District of Shanghai, especially among middle school graduates, and many risk factors were significantly associated with the occurrence of FC.

Background: No currently available biomarkers or treatment regimens fully meet therapeutic needs of type 1 diabetes mellitus (T1DM). Circular RNA (circRNA) is a recently identified class of stable noncoding RNA that have been documented as potential biomarkers for various diseases. Our objective was to identify and analyze plasma circRNAs altered in T1DM. Methods: We used microarray to screen differentially expressed plasma circRNAs in patients with new onset T1DM (n=3) and age-/gender-matched healthy controls (n=3). Then, we selected six candidates with highest fold-change and validated them by quantitative real-time polymerase chain reaction in independent human cohort samples (n=12). Bioinformatic tools were adopted to predict putative microRNAs (miRNAs) sponged by these validated circRNAs and their downstream messenger RNAs (mRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to gain further insights into T1DM pathogenesis. Results: We identified 68 differentially expressed circRNAs, with 61 and seven being up- and downregulated respectively. Four of the six selected candidates were successfully validated. Curations of their predicted interacting miRNAs revealed critical roles in inflammation and pathogenesis of autoimmune disorders. Functional relations were visualized by a circRNA-miRNA-mRNA network. GO and KEGG analyses identified multiple inflammation-related processes that could be potentially associated with T1DM pathogenesis, including cytokine-cytokine receptor interaction, inflammatory mediator regulation of transient receptor potential channels and leukocyte activation involved in immune response. Conclusion Our study report, for the first time, a profile of differentially expressed plasma circRNAs in new onset T1DM. Further in silico annotations and bioinformatics analyses supported future application of circRNAs as novel biomarkers of T1DM.

Background: The detection of glutamic acid decarboxylase 65 (GAD65) autoantibodies is essential for the prediction and diagnosis of latent autoimmune diabetes in adults (LADA). The aim of the current study was to compare a newly developed electrochemiluminescence (ECL)-GAD65 antibody assay with the established radiobinding assay, and to explore whether the new assay could be used to define LADA more precisely. Methods: Serum samples were harvested from 141 patients with LADA, 95 with type 1 diabetes mellitus, and 99 with type 2 diabetes mellitus, and tested for GAD65 autoantibodies using both the radiobinding assay and ECL assay. A glutamic acid decarboxylase antibodies (GADA) competition assay was also performed to assess antibody affinity. Furthermore, the clinical features of these patients were compared. Results: Eighty-eight out of 141 serum samples (62.4%) from LADA patients were GAD65 antibody-positive by ECL assay. Compared with ECL-GAD65 antibody-negative patients, ECL-GAD65 antibody-positive patients were leaner (P<0.0001), had poorer β-cell function (P<0.05), and were more likely to have other diabetes-associated autoantibodies. The β-cell function of ECLGAD65 antibody-positive patients was similar to that of type 1 diabetes mellitus patients, whereas ECL-GAD65 antibody-negative patients were more similar to type 2 diabetes mellitus patients. Conclusion Patients with ECL-GAD65 antibody-negative share a similar phenotype with type 2 diabetes mellitus patients, whereas patients with ECL-GAD65 antibody-positive resemble those with type 1 diabetes mellitus. Thus, the detection of GADA using ECL may help to identify the subtype of LADA.