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 introduce a modified technique of right ventricular outflow tract (RVOT) reconstruction using a handmade bicuspid pulmonary valve crafted from expanded polytetrafluoroethylene (ePTFE) and to summarize the early single-center experience. Methods Patients with complex congenital heart diseases (CHD) who underwent RVOT reconstruction with a handmade ePTFE bicuspid pulmonary valve due to pulmonary regurgitation at Guangdong Provincial People’s Hospital from April 2021 to February 2022 were selected. Postoperative artificial valve function and right heart function indicators were evaluated. Results A total of 17 patients were included, comprising 10 males and 7 females, with a mean age of (18.18±12.14) years and a mean body weight of (40.94±19.45) kg. Sixteen patients underwent reconstruction with a handmade valved conduit, with conduit sizes ranging from 18 to 24 mm. No patients required mechanical circulatory support, and no in-hospital deaths occurred. During a mean follow-up period of 12.89 months, only one patient developed valve dysfunction, and no related complications or adverse events were observed. The degree of pulmonary regurgitation was significantly improved post-RVOT reconstruction and during follow-up compared to preoperative levels (P<0.001). Postoperative right atrial diameter, right ventricular diameter, and tricuspid regurgitation area were all significantly reduced compared to preoperative values (P<0.05). Conclusion The use of a 0.1 mm ePTFE handmade bicuspid pulmonary valve for RVOT reconstruction in complex CHD is a feasible, effective, and safe technique.

Objective:To evaluate the correlation between vascular hyperintensity of magnetic resonance fluid-attenuated inversion recovery (FLAIR) sequence(FVH) and related parameters of magnetic resonance perfusion weighted imaging (MR-PWI) in patients with middle cerebral artery stenosis cerebral infarction, and to explore the hemodynamic factors related to FVH and the effect of FVH on the short-term clinical prognosis of patients.Methods:A total of 116 patients with middle cerebral artery stenosis cerebral infarction in the Department of Neurology, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University from January 2020 to December 2022 were collected.According to the diagnostic criteria of FVH, they were divided into FVH (+ ) group (78 cases) and FVH(-) group (38 cases). All patients underwent magnetic resonance(MR) and MR-PWI scans.Demographic and cerebrovascular risk factors were collected, clinical neurological function of patients was assessed by national institate of health stroke scale(NIHSS) upon admission and discharge, and cognitive function of patients was assessed by mini-mental state examination (MMSE). Short-term clinical outcome was assessed using modified Rankin scale(mRS) at the 90th day after discharge.The degree of middle cerebral artery stenosis, positive or negative FVH, FVH score, hypoperfusion volume and MR-PWI related parameters, including peak time (Tmax), mean transit time (MTT), cerebral blood volume (CBV) and cerebral blood flow (CBF), were evaluated in relation to clinical symptoms.SPSS 22.0 statistical software was used for t test, Chi-square test and Pearson correlation analysis. Results:There were significant differences in hypoperfusion volume, Tmax, MTT and CBF between FVH (+ ) group and FVH(-) group( t=1.989, 3.830, 5.223, 3.911, all P<0.05). In terms of short-term clinical outcome, the improvement rate of neurological function ((8.25±6.39)%, (12.22±6.08)%) and MMSE score(25.48±1.59), (26.31±1.26) in FVH (+ ) group were significantly lower than those in FVH(-) group, and the number of patients with progressive stroke during hospitalization in FVH(+ ) group was more than that of FVH(-) group(22(28.21%), 4(10.53%)) (all P<0.05). Pearson correlation analysis showed that FVH score was positively correlated with hypoperfusion volume ( r=0.786, P<0.01) and MTT ( r=0.692, P<0.01), and negatively correlated with CBF ( r=-0.568, P<0.01), but no significant correlation with the degree of arterial stenosis ( r=0.363, P>0.05). Conclusion:FVH is closely related to the Tmax, MTT and CBF values shown in MR-PWI, and the incidence of stroke in progression and short-term adverse prognosis are more likely in FVH(+ ) group, suggesting that FVH can be used as a convenient imaging indicator to reflect the hypoperfusion status of patients with middle cerebral artery stenosis cerebral infarction, and can provide an objective basis for further individualized treatment.

Adaptive immunity is a critical component of the human immune system, playing an essential role in identifying antigens and orchestrating a tailored immune response. This review delves into the significant strides made in the development of epitope prediction tools, their integration into vaccine design, and their pivotal role in enhancing immunotherapy strategies. The review emphasizes the transformative potential of these tools in refining our understanding and application of immune responses. Adaptive immunity distinguishes itself from innate immunity by its ability to recognize specific antigens and remember past infections, leading to quicker and more effective responses upon subsequent exposures. This facet of immunity involves complex interactions between various cell types, primarily B cells and T cells, which recognize distinct epitopes presented by antigens. Epitopes are small sequences or configurations on antigens that are recognized by the immune receptors on B cells and T cells, acting as the focal points of immune recognition and response. Epitopes can be broadly classified into two types: linear (or sequential) epitopes and conformational (or discontinuous) epitopes. Linear epitopes consist of a sequence of amino acids in a protein that are recognized by B cells and T cells in their primary structure form. Conformational epitopes, on the other hand, are formed by spatially distinct amino acids that come together in the tertiary structure of the protein, often recognized by the immune system only when the protein folds into its native conformation. The role of epitopes in the immune response is critical as they are the primary triggers for the activation of B cells and T cells. When an epitope is recognized, it can stimulate B cells to produce antibodies, mobilize helper T cells to secrete cytokines, or prompt cytotoxic T cells to kill infected cells. These actions form the basis of the adaptive immune response, tailored to eliminate specific pathogens or infected cells effectively. The prediction of B cell and T cell epitopes has evolved with advances in computational biology, leading to the development of several sophisticated tools that utilize a variety of algorithms to predict the likelihood of epitope regions on antigens. Tools employing machine learning methods, such as support vector machines (SVMs), XGBoost, random forest, analyze large datasets of known epitopes to classify new sequences as potential epitopes based on their similarity to known data. Moreover, deep learning has emerged as a powerful method in epitope prediction, leveraging neural networks capable of learning high-dimensional data from vast amounts of immunological inputs to identify patterns that may not be evident to other predictive models. Deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs) and ESM protein language model have demonstrated superior accuracy in mapping the nonlinear relationships inherent in protein structures and epitope interactions. The application of epitope prediction tools in vaccine design is transformative, enabling the development of epitope-based vaccines that can elicit targeted immune responses against specific parts of the pathogen. These vaccines, by focusing the immune response on highly specific regions of the pathogen, can offer high efficacy and reduced side effects. Similarly, in cancer immunotherapy, epitope prediction tools help identify tumor-specific antigens that can be targeted to develop personalized immunotherapeutic strategies, thereby enhancing the precision of cancer treatments. The future of epitope prediction technology appears promising, with ongoing advancements anticipated to enhance the precision and efficiency of these tools further. The integration of broader immunological data, such as patient-specific immune profiles and pathogen variability, along with advances in AI and machine learning, will likely drive the development of more adaptive, robust, and clinically relevant prediction models. This will not only improve the effectiveness of vaccines and immunotherapies but also contribute to our broader understanding of immune mechanisms, potentially leading to breakthroughs in the treatment and prevention of multiple diseases. In conclusion, the development and refinement of epitope prediction tools stand as a cornerstone in the advancement of immunological research and therapeutic design, highlighting a path toward more precise and personalized medicine. The ongoing integration of computational models with experimental immunology holds the promise of revolutionizing our approach to combating infectious diseases and cancer.

Objective To systematically evaluate the efficacy and safety of Compound Danshen Dripping Pills combined with conventional western medicine in the treatment of coronary heart disease complicated with diabetes mellitus.Methods Wanfang database,CNKI,VIP,SinoMed,Cochrane Library,PubMed,Embase and Web of Science databases were searched to collect randomized controlled trials(RCTs)of Compound Danshen dripping pills combined with conventional western medicine in the treatment of coronary heart disease complicated with diabetes mellitus.The retrieval time is from the establishment of the database to May 2023.Two researchers independently completed literature screening,data collation and risk of bias evaluation.RevMan 5.4 software was used for Meta-analysis.Results Twenty-four RCTs with a total of 2 546 patients were included.Meta-analysis showed that the treatment of Compound Danshen Dripping Pills combined with conventional western medicine was better than that of conventional western medicine in improving the total effective rate of coronary heart disease complicated with diabetes mellitus[OR=4.93,95%CI(3.49,6.98),P＜0.000 01],plasma adiponectin[MD= 2.79,95%CI(2.30,3.27),P＜0.000 01],reducing fasting blood glucose[SMD=-1.06,95%CI(-1.24,-0.88),P＜0.000 01],postprandial two-hour blood glucose[MD=-1.53,95%CI(-1.71,-1.35),P＜0.000 01],glycosylated hemoglobin[MD=-1.56,95%CI(-2.01,-1.11),P＜0.000 01],homocysteine[MD=-8.47,95%CI(-8.89,-7.97),P＜0.000 01],low density lipoprotein[MD=-0.46,95%CI(-0.69,-0.24),P＜0.000 01],total cholesterol[MD=-0.45,95%CI(-1.11,-0.20),P=0.005],triglycerides[MD=-0.42,95%CI(-0.50,-0.34),P＜0.000 01],interleukin 6[SMD=-1.34,95%CI(-1.61,-1.07),P＜0.000 01],cardiovascular adverse events[OR=0.35,95%CI(0.19,0.64),P=0.000 6],incidence of adverse reactions[OR=0.45,95%CI(0.24,0.86),P=0.01].Conclusion Compound Danshen Dripping Pills combined with conventional western medicine in the treatment of coronary heart disease with diabetes mellitus is more effective than conventional western medicine treatment,and with better safety.However,due to the limit of the quality of the included studies and other factors,the above conclusions still need to be verified by more high-quality clinical trials.

【Objective】 To summarize the clinicopathological features and prognosis of young patients (18-40 years old) with non-clear cell renal cell carcinoma (nccRCC) treated in a single center to provide reference for the diagnosis and treatment of similar patients. 【Methods】 Clinical data of 113 nccRCC patients treated during Jan. 2012 and Aug. 2022 were retrospectively analyzed, including 57 males (50.4%) and 56 females (49.6%). The average age of onset was (31.6±5.8) years. Among all patients, 57 had lesions (50.4%) on the left side, and 56 (49.6%) on the right side. Young patients undergoing renal cancer surgery accounted for approximately 12.4% of the total number of renal cancer patients undergoing surgery, and nccRCC accounted for 34.8% of the total number of cases. 【Results】 Minimally invasive surgery (laparoscopic or robot-assisted) was performed in 102 cases (90.3%), and open surgery in 11 cases (9.7%). Fifty-five cases (48.7%) underwent partial nephrectomy and 58 (51.3%) radical nephrectomy. Among them, 11 patients (9.7%) developed tumor thrombi. All surgeries were successful with no serious complications. The pathological types included 32 cases (28.3%) of chromophobe renal cell carcinoma, 25 cases (22.1%) of MiT family translocation renal cell carcinoma, and 20 cases (17.7%) of papillary renal cell carcinoma. The total proportion of the three pathological subtypes reached 68.1%. After 46 (2-115) months of follow-up, 8 cases (7.8%, 8/102) developed tumor metastasis and 2 died. 【Conclusion】 The nccRCC is rare in young patients. The major pathological type is chromophobe, and the major treatment method is minimally invasive surgery. Most pathological types have good long-term prognosis, while patients with tumor thrombi have a high risk of metastasis and poor prognosis.

ObjectiveTo conduct a systematic comparative study on wild and cultivated Codonopsis pilosula（CP） from three aspects， including characters， microscopy， and contents of primary and secondary metabolites. MethodWild and cultivated CP samples were collected， their characters were measured using vernier caliper， tape measure and balance， the paraffin sections were stained with safranin-fixed green dyeing， and their microstructure were observed under the optical microscope. The content of alcohol-soluble extracts in wild and cultivated CP was determined according to the method for determination of extract under CP in the 2020 edition of Chinese Pharmacopoeia， the starch content was determined by anthrone colorimetry， the content of total polysaccharides was determined by kit method， Fiber analyzer was used to determine the content of fiber components， and ultra performance liquid chromatography（UPLC） was used to determine the content of monosaccharides， disaccharides and some secondary metabolites. Multivariate statistical analysis methods such as principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA） were employed to screen key differential components between wild and cultivated CP on the basis of variable importance in the projection（VIP） value>1 and P<0.05. ResultIn terms of morphological characteristics， the "lion's head-like" shape， longitudinal wrinkles， and circumferential wrinkles below the root cap of wild CP were more pronounced in wild CP compared to the cultivated ones. Regarding transverse sectional features， wild CP had more fissures on the outer side of the cortex and a larger duramen. Under microscopic examination， wild CP had more stone cells， a larger proportion of xylem， and the presence of cork cells arranged in rings in the xylem， while cultivated CP has a larger proportion of phloem， smaller vessel diameters， and a more loosely arranged vascular system. In terms of primary metabolites， the contents of 45% ethanol-soluble extract and total polysaccharides in cultivated CP were significantly higher than those in the wild ones（P<0.05）， the contents of lignin， hemicellulose， cellulose， fructose and glucose in wild CP were significantly higher than those in the cultivated ones（P<0.05）， while sucrose content in the cultivated CP was significantly higher than that in the wild ones（P<0.05）. Concerning secondary metabolites， the contents of tryptophan and tangshenoside Ⅰ in cultivated CP were significantly higher than those in the wild ones（P<0.05）， whereas the contents of lobetyolinin， lobetyol and atractylenolide Ⅲ in wild CP were significantly higher than those in the cultivated ones（P<0.05）. ConclusionThere are significant differences between wild and cultivated CP in terms of morphological characteristics， microscopic features and chemical composition. Glucose， fructose， sucrose， tangshenoside Ⅰ， tryptophan and cellulose components are the key differential components between wild and cultivated CP. Wild CP contains more polyacetylenes and fructose， whereas cultivated CP has higher levels of tangshenoside Ⅰ and sucrose， with noticeably lower cellulose content. These distinctions may be related to their growth conditions， growth years and cultivation techniques. Based on the results of this study， it is recommended to increase polyacetylenes and the content ratio of fructose to sucrose as an indicators to characterize different production methods of CP， in order to guide the high-quality production of CP.