ObjectiveTo investigate the effects of Jianpi Qinghua granules on blood glucose fluctuations in patients with newly diagnosed overweight/obese type 2 diabetes mellitus （T2DM） and Qi-Yin deficiency syndrome from the perspective of skeletal muscle mass and function， while providing new insights for the treatment of diabetes. MethodsThis study employed a randomized， double-blind， placebo-controlled design. A total of 110 newly diagnosed overweight/obese T2DM patients meeting the inclusion criteria were randomly assigned to either the traditional Chinese medicine （TCM） group （54 cases） or the control group （56 cases）. Patients in the TCM group received Jianpi Qinghua Granules， while those in the control group received a placebo. Both groups underwent dietary and exercise guidance. After 12 weeks of intervention， blood glucose fluctuations were assessed using the following parameters： time in the target blood glucose range （TIR）， mean daily blood glucose （MBG）， standard deviation of mean daily blood glucose （SDBG）， mean amplitude of glycemic excursions （MAGE）， coefficient of variation of blood glucose （CV）， glycated hemoglobin （HbA1c） achievement rate， fasting plasma glucose （FPG）， and 2 hour postprandial glucose （2 hPG）. Skeletal muscle mass was measured by dual-energy X-ray absorptiometry （DXA）， while skeletal muscle function was evaluated using a handheld dynamometer for distal muscle strength and a 5-time sit-to-stand test for lower limb function. Additionally， pancreatic islet function and TCM syndrome scores were analyzed. ResultsNo significant differences were observed in baseline data between the two groups before intervention， ensuring comparability. After treatment， compared to the control group， the TCM group showed a significant increase in TIR （P<0.01）. While the SDBG and CV decreased， and MBG and MAGE increased in the TCM group， these differences were not statistically significant. Notably， the TCM group exhibited significant reductions in 2 hPG （P<0.01） and HbA1c （P<0.05）， though the decrease in FPG was not statistically significant. The HbA1c achievement rate in the TCM group was significantly higher than that in the control group （χ²=45.498， P<0.01）. In terms of skeletal muscle mass and function， the TCM group demonstrated a significant increase in handgrip strength （P<0.01） and a significant reduction in the 5-time sit-to-stand duration （P<0.05）. However， although body fat percentage increased， leading to a decrease in skeletal muscle mass and the ratio of skeletal muscle to fat， these changes were not statistically significant. For pancreatic islet function， the TCM group showed significant reductions in fasting insulin （FINS） and homeostasis model assessment of insulin resistance （HOMA-IR） （P<0.01）. Additionally， the TCM syndrome score in the TCM group was significantly reduced （P<0.01）. ConclusionJianpi Qinghua granules may reduce blood glucose fluctuations in newly diagnosed overweight/obese T2DM patients with Qi-Yin deficiency syndrome by enhancing skeletal muscle function， improving pancreatic islet function， and ameliorating related TCM syndromes.

ObjectiveTo explore the application of virtual reality biofeedback training combined with oral localization therapy in dysphagia after oral cancer surgery. MethodsFrom May, 2023 to July, 2024, 86 patients with dysphagia after oral cancer surgery in Zhejiang Provincial People's Hospital were randomly divided into control group (n = 43) and experimental group (n = 43). The control group received conventional swallowing function training, while the experimental group added virtual reality biofeedback training combined with oral positioning therapy, for four weeks. The Standardized Swallowing Function Assessment Scale (SSA), Functional Oral Intake Scale (FOIS) and M.D.Anderson Dysphagia Inventory (MDADI) were used for evaluation before intervention, and two weeks, four weeks and eight weeks after intervention. ResultsFor scores of SSA , the main effects of group (F = 150.190, P < 0.001, η²_p = 0.641) and time (F = 230.870, P < 0.001, η²_p = 0.733), as well as the interaction effect (F = 16.910, P < 0.001, η²_p = 0.168) were all significant. For scores of FOIS, the main effects of group (F = 59.601, P < 0.001, η²_p = 0.415) and time (F = 89.464, P < 0.001, η²_p = 0.516), as well as the interaction effect (F = 7.990, P < 0.001, η²_p = 0.087) were all significant. For scores of MDADI, the main effects of group (F = 33.133, P < 0.001, η²_p = 0.283) and time (F = 49.650, P < 0.001, η²_p = 0.371), as well as the interaction effect (F = 3.224, P = 0.023, η²_p = 0.037) were all significant. ConclusionVirtual reality biofeedback training combined with oral localization therapy could improve the swallowing function, oral feeding ability and overall quality of life of patients with dysphagia after oral cancer surgery.

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.

Huaihuasan， first recorded in Experiential Prescriptions for Universal Relief （Pu Ji Ben Shi Fang）， is a classic prescription for the treatment of ''hematochezia due to intestinal wind''. In 2018， it was included by the National Administration of Traditional Chinese Medicine as one of the first 100 classic prescriptions. This formula consists of four ingredients， i.e.， Sophorae Flos， Platycladi Cacumen， Schizonepetae Spica， and Aurantii Fructus. It is known for its ability to clear the intestines， dispel wind， cool the blood， and stop bleeding. In modern clinical practice， Huaihuasan， often with modifications， is widely used to treat various digestive tract diseases， including ulcerative colitis （UC）， with significant long-term effects. UC is a chronic， non-specific inflammatory bowel disease. Currently， Western medicine primarily treats UC with glucocorticoids， aminosalicylates， and immunosuppressants， which have good short-term efficacy but numerous adverse reactions， high recurrence rates， and the need for lifelong medication. Modern clinical studies have shown that Huaihuasan can significantly improve symptoms of UC， such as abdominal pain and diarrhea， reduce disease activity scores （Sutherland）， promote intestinal mucosal healing， alleviate anxiety and depression， and significantly improve the quality of life of patients. Pharmacological studies have shown that the main active components of Huaihuasan include quercetin， rutin， kaempferol， naringenin， and volatile oils. These compounds exert their effects by inhibiting inflammatory responses and protecting the intestinal mucosal barrier. They also exhibit antioxidant properties and regulate various signaling pathways， including tumor necrosis factor-α （TNF-α）， interleukin-2 （IL-2）， interleukin-4 （IL-4）， interleukin-1β （IL-1β）， monocyte chemoattractant protein-1 （MCP-1）， nuclear factor-κB （NF-κB）， Janus kinase （JAK）/signal transducer and activator of transcription （STAT）， and the KRAS-regulated mitogen-activated protein kinase （MEK）-extracellular signal-regulated kinase （ERK） pathway. These multi-target pathways improve UC symptoms， inhibit inflammation-cancer transition， and help maintain intestinal homeostasis. However， the precise mechanism of action has not yet been systematically elucidated. This paper reviews the research progress on Huaihuasan and main ingredients from its component drugs， focusing on their effects against UC. It also discusses current research limitations and suggests strategies for improvement， aiming to provide a reference for further studies on Huaihuasan in the treatment of UC and the development of new drugs.

OBJECTIVES: This study aims to investigate the optimal dose ratio and mechanisms of the primary active components in Yinchenhao decoction (geniposide, chlorogenic acid, and rhubarb polysaccharides) for ameliorating metabolic-associated steatotic liver disease (MASLD). METHODS: C57BL/6 mice were randomly divided into the normal control group, model control group, uniform design groups 1-6, and Yinchenhao Decoction group; except for the normal control group, mice in all other groups were fed a Western diet to establish a MASLD model, and after 8 weeks of modeling, mice in the uniform design groups 1-6 and Yinchenhao Decoction group were given the corresponding drugs by gavage. At 12 weeks, all mice were sacrificed: their body weight and liver weight were measured, hematoxylin-eosin staining was used to observe the histopathological changes of liver tissue, the plasma levels of alanine transaminase (ALT) and aspartate transaminase (AST) were detected, and the levels of total cholesterol (TC) and triglycerides (TG) in plasma and liver were measured. Based on these results, the optimal uniform design group was identified; subsequently, with plasma AST, plasma TG, and liver TC levels as screening indicators, the optimal dose ratio was obtained via a regression equation, which was further verified from two dimensions, namely functional indicators and tissue morphology. Meanwhile, glucose tolerance test and insulin tolerance test were conducted to evaluate glucose metabolic homeostasis and insulin sensitivity in mice, periodic acid-Schiff staining was used to observe glycogen accumulation, quantitative reverse transcription-polymerase chain reaction was employed to detect the mRNA expression of genes related to glycolipid metabolism and bile acid metabolism, Western blotting was performed to measure the protein expression of molecules involved in bile acid metabolism, and commercial kits were used to determine the plasma levels of total bilirubin (TBIL), direct bilirubin (DBIL), and total bile acid (TBA). RESULTS: Combinations of geniposide, chlorogenic acid, and rhubarb polysaccharide all reduced the liver-to-body weight ratio, alleviated liver injury, and decreased lipid accumulation, among which the uniform design group 6 (200 mg/kg geniposide+160 mg/kg chlorogenic acid+340 mg/kg rhubarb polysaccharide) exhibited the optimal efficacy. Meanwhile, regression analysis indicated that the dosage ratio of uniform design group 6 was the optimal one for MASLD intervention. Validation experiments showed that, compared with single-drug intervention, the optimal dosage ratio resulted in significantly lower body weight, as well as lower plasma levels of ALT, AST and TC in mice (all P<0.05), along with a more pronounced reduction in the area of hepatic lipid accumulation. Mechanistic investigation experiments demonstrated that intervention with the optimal dosage ratio significantly improved glucose tolerance and insulin sensitivity in mice (all P<0.05), reduced hepatic glycogen deposition, and downregulated the mRNA expression of glycolipid metabolism-related genes such as Gsk3, G6pc, Pck1, Fbp1, Fasn, Srebp-1c, Scd1, Slc27a2, and Slc27a5 (all P<0.05); it also decreased plasma levels of TBIL, DBIL, and TBA (all P<0.05), reversed the abnormal protein expression of bile salt export pump (BSEP), farnesoid X receptor (FXR), and cholesterol-7α-hydroxylase (CYP7A1) in the liver (all P<0.05), and reversed the abnormal mRNA expression of bile acid metabolism-related genes including Nr1h4, Cyp7a1, Cyp27a1, Slc10a1, and Slco1a1 (all P<0.05). CONCLUSIONS The combination of geniposide (200 mg/kg), chlorogenic acid (160 mg/kg), and rhubarb polysaccharide (340 mg/kg) exerts the optimal ameliorative effect on MASLD in mice. This superior efficacy is presumably achieved by synergistically regulating the key nodes of glycolipid metabolism and bile acid metabolism, ultimately optimizing the therapeutic outcome.

OBJECTIVE: To accurately measure human energy metabolism with high temporal resolution, a respiratory gas analysis system was designed using a breath-by-breath approach. METHODS: Firstly, indirect calorimetry was employed in respiratory gas analysis to measure the respiratory flow and concentration signals in real-time. Secondly, oxygen consumption QO2 and carbon dioxide production QCO2 were calculated through respiratory characteristic alignment and respiratory signal segmentation. Finally, metabolic indexes were calculated according to the Weir formula. Furthermore, a controlled trial was formulated for validation comparisons with the MGC ULTIMA SYSTEM PFX CARDIO2. RESULTS: The results indicate that the data points of metabolic indexes measured by this system all fall within the confidence interval when compared with those of the MGC. CONCLUSION The system has high consistency with the MGC measurement results. Thus, the system can accurately measure metabolism in real-time and provide data support for clinical nutrition assessment and therapy.
Humans ; Energy Metabolism ; Breath Tests/instrumentation* ; Calorimetry, Indirect/instrumentation* ; Equipment Design

Objective:To investigate the impact of different CT reconstruction kernels on the quantitative analysis of small pulmonary vessels in patients with chronic obstructive pulmonary disease (COPD) and high-risk patients.Methods:This study was a cross-sectional study. Clinical and imaging data of 73 COPD and high-risk patients visiting the China-Japan Friendship Hospital between March and April 2024 were retrospectively analyzed. All patients underwent high-resolution CT of the chest and pulmonary function tests, with the ratio of forced expiratory volume in one second to forced vital capacity (FEV 1/FVC) obtained. The raw CT data were reconstructed using different kernels: the FC86 group used the adaptive iterative dose reduction(AIDR) 3D standard lung sharp reconstruction algorithm, the FC18 group used the AIDR 3D standard Body standard reconstruction algorithm, the advanced intelligent clear-IQ engine(AiCE) Lung group used the AiCE deep learning reconstruction algorithm for lung, and the AiCE Body group used the AiCE deep learning reconstruction algorithm for body. Image signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and image noise were calculated. The pulmonary vessel segmentation & Measurement software was used to segment and extract pulmonary arteries and veins of four groups in thin-slice whole-lung CT imaging, obtaining the ratio of small pulmonary arteries (%V artery<5) and the ratio of small pulmonary veins (%V vein<5). The One-way repeated measures ANOVA or Friedman test was used to compare the differences in SNR, CNR, image noise, %V artery<5, and %V vein<5 among the four groups, followed by Bonferroni post hoc or Bonferroni-Dunn test with P-value correction to analysis differences between subgroups. The correlations between %V artery<5 and FEV 1/FVC, as well as between %V vein<5 and FEV 1/FVC were analyzed using Spearman rank correlation analysis in all four groups. Results:The overall differences in image noise, SNR, and CNR in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). Except for the difference in CNR values between the AiCE Lung group and the FC18 group, which was not statistically significant ( P=0.192), all differences were statistically significant ( P<0.016 7). The overall differences in %V artery<5 values and %V vein<5 values in the AiCE Lung, AiCE Body, FC18, and FC86 groups were statistically significant ( P<0.001). The %V artery<5 and %V vein<5 values in the FC18 group were lower than those in the AiCE Lung, AiCE Body, and FC86 groups ( P<0.016 7), and the rest of the differences were not statistically significant ( P>0.016 7). %V artery<5 and %V vein<5 were positively correlated with FEV 1/FVC in all 4 groups ( P<0.05), with the highest correlation coefficient between %V vein<5 and FEV 1/FVC in the AiCE Body group ( r=0.501, P=0.001). Conclusions:DLR-AiCE-based kernel reconstruction optimizes image quality and significantly affects the results of quantitative parameters of small pulmonary vessels. The reconstruction kernel prioritized for quantitative analysis of small vessels within the lungs in COPD based on the CT scanner in this study is AiCE Body.