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 compare the efficacy of various machine learning models in predicting renal function decline after robot-assisted partial nephrectomy(RAPN),and to provide evidence for clinical risk stratification.Methods:This study retrospectively in-cluded the clinical data of 733 patients with renal cell carcinoma undergoing RAPN at the Urology Department of The First Affiliated Hospital of Chongqing Medical University from January 2019 to December 2023.Demographic characteristics,laboratory indicators,and perioperative parameters were integrated to construct seven machine learning models.Key predictors were interpreted using Shap-ley additive explanations(SHAP).Model performance was evaluated using the area under the receiver operating characteristic curve(AUC).Results:The random forest model demonstrated the best predictive performance(AUC=0.84).SHAP analysis identified neutrophil-to-lymphocyte ratio,tumor diameter,the international normalized ratio of prothrombin time,white blood cell count,and in-traoperative blood loss as significant factors influencing postoperative renal function decline.Conclusion:This study provides a poten-tial predictive tool for clinical practice,aiding in identifying high-risk patients and optimizing postoperative management strategies.

Objective:To analyze the changes of DNA methylation in peripheral blood mononuclear cells (PBMC) of patients with hepatocellular carcinoma (HCC) and to evaluate the clinical value of a combined model based on FSIP1 gene methylation on the early diagnosis of HCC.Methods:This is a case-control study. From May 2023 to September 2024, 183 HCC patients and 155 healthy controls were collected in Qilu Hospital of Shandong University. The selected study subjects were divided into three cohorts: 14 HCC patients and 39 healthy controls formed the discovery cohort, a screening cohort consisted of 36 HCC patients and 39 healthy controls, 133 HCC patients and 77 healthy controls were included in the model construction cohort. 935k methylation chip analysis was used to identify specific differentially methylated sites in peripheral blood PBMC of the discovery cohort. The absolute value of the average methylation level difference between HCC group and healthy control group (|Δβ|) and P value were calculated. Then targeted bisulfite sequencing was used to verify the differentially methylated sites in the screening cohort. Finally, based on MethylTarget methylation sequencing technology, differential methylation sites were further verified in model construction cohort (divided into training set and validation set, training set consisted of 99 HCC patients and 57 healthy controls; validation set consisted of 34 HCC patients and 20 healthy controls). HCC early diagnosis model was constructed by random forest algorithm combined with clinical parameters and the diagnostic performance of the model was evaluated by receiver operating characteristic (ROC) curve in the validation set. Results:The total of 7 249 differentially methylated sites between HCC patients and healthy controls in discovery cohort were selected under the rule of |Δβ|≥0.06 and P<0.01. Among them, the cg02155073 site located on FSIP1 was hypermethylated in PBMC of HCC patients in the screening cohort and model cohort ( P<0.001). The AUC of HCC early diagnosis model (FmAP) based on FSIPI in the validation set was 0.967 (95% CI 0.924-1.000); sensitivity was 88%, specificity was 95%. The model had good diagnostic efficacy for patients with early HCC, stage Ⅰ-Ⅱ HCC AUC was 0.958 (95% CI 0.898-1.000). The FmAP model also had diagnostic value for tumor size <2 cm HCC and AFP negative HCC, with AUC of 0.955 (95% CI 0.898-1.000) and 0.964 (95% CI 0.934-0.994).The sensitivity were 92% and 93% and specificity both were 84%. Conclusion:The FmAP model based on FSIP1 gene methylation has good clinical value for the early diagnosis of hepatocellular carcinoma.

Objective:To analyze the changes of DNA methylation in peripheral blood mononuclear cells (PBMC) of patients with hepatocellular carcinoma (HCC) and to evaluate the clinical value of a combined model based on FSIP1 gene methylation on the early diagnosis of HCC.Methods:This is a case-control study. From May 2023 to September 2024, 183 HCC patients and 155 healthy controls were collected in Qilu Hospital of Shandong University. The selected study subjects were divided into three cohorts: 14 HCC patients and 39 healthy controls formed the discovery cohort, a screening cohort consisted of 36 HCC patients and 39 healthy controls, 133 HCC patients and 77 healthy controls were included in the model construction cohort. 935k methylation chip analysis was used to identify specific differentially methylated sites in peripheral blood PBMC of the discovery cohort. The absolute value of the average methylation level difference between HCC group and healthy control group (|Δβ|) and P value were calculated. Then targeted bisulfite sequencing was used to verify the differentially methylated sites in the screening cohort. Finally, based on MethylTarget methylation sequencing technology, differential methylation sites were further verified in model construction cohort (divided into training set and validation set, training set consisted of 99 HCC patients and 57 healthy controls; validation set consisted of 34 HCC patients and 20 healthy controls). HCC early diagnosis model was constructed by random forest algorithm combined with clinical parameters and the diagnostic performance of the model was evaluated by receiver operating characteristic (ROC) curve in the validation set. Results:The total of 7 249 differentially methylated sites between HCC patients and healthy controls in discovery cohort were selected under the rule of |Δβ|≥0.06 and P<0.01. Among them, the cg02155073 site located on FSIP1 was hypermethylated in PBMC of HCC patients in the screening cohort and model cohort ( P<0.001). The AUC of HCC early diagnosis model (FmAP) based on FSIPI in the validation set was 0.967 (95% CI 0.924-1.000); sensitivity was 88%, specificity was 95%. The model had good diagnostic efficacy for patients with early HCC, stage Ⅰ-Ⅱ HCC AUC was 0.958 (95% CI 0.898-1.000). The FmAP model also had diagnostic value for tumor size <2 cm HCC and AFP negative HCC, with AUC of 0.955 (95% CI 0.898-1.000) and 0.964 (95% CI 0.934-0.994).The sensitivity were 92% and 93% and specificity both were 84%. Conclusion:The FmAP model based on FSIP1 gene methylation has good clinical value for the early diagnosis of hepatocellular carcinoma.

ObjectiveTo observe the effect of Coptidis Rhizoma and Ophiopogonis Radix on renal tissue injury and epidermal growth factor receptor （EGFR）/phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway in rats with diabetic nephropathy （DN） and explore its possible mechanism of delaying DN. MethodThirty-six male Wistar rats were randomly divided into a normal group （6 rats） and a model group （30 rats）. The model group was fed with a high-fat and high-sugar diet combined with streptozotocin （STZ） to establish a rat model of type 2 diabetes. After the successful preparation of the model， the rats were randomly divided into the model group， low， medium， and high dose groups of Coptidis Rhizoma and Ophiopogonis Radix （100， 200， 400 mg·kg^-1）， and metformin group （200 mg·kg^-1）. After administration， the levels of fasting blood glucose （FBG）， 24 h urine protein （24 h-UTP）， creatinine （SCr）， urea nitrogen （BUN）， and uric acid （UA） were detected. Hematoxylin-eosin （HE） staining and Masson staining were used to observe the pathological changes of renal tissue in rats. Western blot and Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） were used to detect the related protein expression of EGFR， PI3K， and Akt and their mRNA expression levels in the renal tissue of rats in each group. ResultsCompared with the normal group， the levels of FBG， SCr， BUN， UA， 24 h-UTP， and kidney index in the model group were significantly increased （P<0.01）， most renal tubular epithelial cells were necrotic， and the content of collagen in glomeruli was significantly increased （P<0.01）. Compared with the model group， the above indexes of rats in each administration group were improved to varying degrees. The FBG， SCr， BUN， UA， 24 h-UTP， and kidney index of rats in each dose group and metformin group were significantly decreased （P<0.01， P<0.05）. The necrosis degree of renal tubular epithelial cells was reduced， and the fibrosis area was decreased （P<0.01）. There related protein and mRNA expressions of EGFR， PI3K， and Akt were significantly increased （P<0.05， P<0.01）. ConclusionCoptidis Rhizoma and Ophiopogonis Radix can alleviate renal tissue injury in rats with DN， and their mechanism may be related to the regulation of the EGFR/PI3K/Akt signaling pathway.

OBJECTIVE To identify and classify the chemical components and components absorbed into blood of Sishen Pills u-sing ultra-high performance liquid chromatography-quadrupole-orbitrap high resolution mass spectrometry.METHODS SD rats were divided into blank group and drug administration group.The rats in drug administration group were given water extract of Sishen Pills formula intragastrically,and blank and drug-containing plasma were collected respectively.A Hypersil GOLD VANQUISH column(2.1 mm×100 mm,1.9 μm)was used,with 0.1%formic acid water acetonitrile as the mobile phase,gradient elution,volume flow rate of 0.3 mL·min-1,and column temperature of 35℃.Electrospray ion source(ESI)with positive and negative ion scanning mode was used for chromatographic separation and mass spectrometry data acquisition.The chemical components of Sishen Pills were identi-fied by comparing the exact molecular mass,fragment ion information and relative retention time with the map of reference substance,matching with the self-established database and combining with literature reports.On this basis,the components absorbed into blood of Sishen Pills were analyzed by comparing the blank plasma and drug-containing plasma.RESULTS A total of 181 chemical compo-nents were identified from Sishen Pills,mainly including flavonoids,alkaloids,lignans and other components.A total of 49 prototype blood components were identified from the plasma samples,mainly including flavonoids,alkaloids and other components.CONCLU-SION A variety of chemical components in Sishen Pills and drug-containing plasma are comprehensively,accurately and quickly i-dentified,and all of them are assigned to the various medicinal materials in the prescription.This study provides reference for the qual-ity control,basic research on medicinal effect materials and clinical application of Sishen Pills.

Objective:To evaluate the pancreatic subclinical dysfunction after intensity-modulated radiation therapy (IMRT) for gastric cancer by analyzing biochemical indexes and pancreatic volume changes, and to reduce the dose of pancreas by dosimetric prediction and dose limitation.Methods:30 patients with gastric cancer who received 45 Gy postoperative adjuvant radiotherapy were retrospectively selected. The pancreas was delineated and its dose and anatomical relationship with planning target volume (PTV) were evaluated. Fasting blood glucose, serum lipase and amylase, and pancreatic volume changes before and after radiotherapy were analyzed. The correlation between the changes of biochemical indexes and volume and pancreatic dose was evaluated by Pearson analysis. The threshold of the dosimetric prediction was obtained by receiver operating characteristic (ROC) curve. Finally, the feasibility of dosimetric limitation in IMRT was assessed.Results:The pancreatic volume of 30 patients was 37.6 cm 3, and 89.0% of them were involved in PTV. D mean of the pancreas was 45.92 Gy, and 46.45 Gy, 46.46 Gy and 45.80 Gy for the pancreatic head, body and tail, respectively. The fasting blood glucose level did not significantly change. The serum lipase levels were significantly decreased by 66% and 77%(both P<0.001), and the serum amylase levels were significantly declined by 24% and 38%(both P<0.001) at 6 and 12 months after radiotherapy. Pancreatic volumes of 22 patients was decreased by 47% within 18 months after radiotherapy. ROC curve analysis showed that pancreatic V 45Gy had the optimal predictive value for the decrease by 1/3 of serum lipase and amylase levels at 6 months and serum amylase level at 12 months after radiotherapy, and the cut-off value was V 45Gy<85%. Pancreatic D mean yielded the optimal predictive value for the decrease by 2/3 of serum lipase level at 12 months after radiotherapy, and the cut-off value was D mean<45.01 Gy. After" whole pancreas" and" outside PTV pancreas" dose limit, V 45Gy of the pancreas was decreased by 11% and 7%, D mean of the pancreas was declined by 2% and 2%, and D mean of the pancreatic tail was decreased by 3%, respectively. Conclusions:Serum lipase and amylase levels significantly decline at 6 and 12 months after adjuvant radiotherapy for gastric cancer, and pancreatic volume is decreased significantly within 18 months after radiotherapy. Pancreatic V 45Gy<85% and D mean<45.01 Gy are the dose prediction values for the decrease of serum lipase and amylase levels. The dose can be reduced to certain extent by dosimetric restriction.

Sarcopenia is observed to have age-related loss of skeletal muscle mass, muscle strength and physical performance, which can be an effective prognostic indicator for postoperative complications and poor survival outcomes in tumor patients. Sarcopenia could reflect tumor-host interactions and has the advantages in accuracy and generality compared with traditional predictors. This paper reviews the research progress of sarcopenia in predicting the prognosis of genitourinary tumors.