ObjectiveTo explore the construction of a machine learning model for the diagnosis of traditional Chinese medicine （TCM） syndromes in chronic cough and the optimization of this model using the Voting ensemble algorithm. MethodsA retrospective analysis was conducted using clinical data from 921 patients with chronic cough treated at the Respiratory Department of Dongfang Hospital， Beijing University of Chinese Medicine. After standardized processing， 84 clinical features were extracted to determine TCM syndrome types. A specialized dataset for TCM syndrome diagnosis in chronic cough was formed by selecting syndrome types with more than 50 cases. The synthetic minority over-sampling technique （SMOTE） was employed to balance the dataset. Four base models， logistic regression （LR）， decision tree （dt）， multilayer perceptron （MLP）， and Bagging， were constructed and integrated using a hard voting strategy to form a Voting ensemble model. Model performance was evaluated using accuracy， recall， precision， F1-score， receiver operating characteristic （ROC） curve， area under the curve （AUC）， and confusion matrix. ResultsAmong the 921 cases， six syndrome types had over 50 cases each， phlegm-heat obstructing the lung （294 cases）， wind pathogen latent in the lung （103 cases）， cold-phlegm obstructing the lung （102 cases）， damp-heat stagnating in the lung （64 cases）， lung yang deficiency （54 cases）， and phlegm-damp obstructing the lung （53 cases）， yielding a total of 670 cases in the specialized dataset. High-frequency symptoms among these patients included cough， expectoration， odor-induced cough， throat itchiness， itch-induced cough， and cough triggered by cold wind. Among the four base models， the MLP model showed the best diagnostic performance （test accuracy： 0.9104； AUC： 0.9828）. Compared with the base models， the Voting ensemble model achieved superior performance with an accuracy of 0.9289 on the training set and 0.9253 on the test set， showing a minimal overfitting gap of 0.0036. It also achieved the highest AUC （0.9836） in the test set， outperforming all base models. The model exhi-bited especially strong diagnostic performance for damp-heat stagnating in the lung （AUC： 0.9984） and wind pathogen latent in the lung （AUC： 0.9970）. ConclusionThe Voting ensemble algorithm effectively integrates the strengths of multiple machine learning models， resulting in an optimized diagnostic model for TCM syndromes in chronic cough with high accuracy and enhanced generalization ability.

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 relationship between different interleukins (ILs) and gynecological tumors, including cervical cancer, endometrial cancer, and uterine leiomyoma using two-sample Mendelian randomization (MR) analysis. Methods IL and gynecological tumor data were obtained from European populations by using the IEU OpenGWAS open database. Two-sample MR analysis was applied, different interleukins were used as exposure factors, significant SNP in GWAS data were selected as instrumental variables, and the instrumental variables were independent of each other. The risk of three kinds of gynecological tumors was analyzed separately to explore the causal relationship between ILs predicted by genes and outcome indicators. The TwoSampleMR package in R language (4.3.1) software was used for statistical analysis. MR analysis was performed using inverse variance weighted, MR Egger regression, weighted median, simple mode, and weighted mode methods. Results IL-18 receptor 1 (P=0.039) and IL-24 (P=0.025) were negatively correlated with the risk of cervical cancer. IL-4 (P=0.040), IL-21 (P=0.026), and IL-37 (P=0.027) were positively correlated with the risk of endometrial cancer. IL-15 receptor subunit alpha (P=0.005) was negatively correlated with the risk of endometrial cancer. IL-17A (P=0.005) and IL-37 (P=0.018) were negatively correlated with the risk of uterine leiomyoma. IL-21 (P=0.035) was positively correlated with the risk of uterine leiomyoma. Conclusion Genetically predicted IL-4, IL-15Rα, IL-17A, IL-18R1, IL-21, IL-24, and IL-37 are causally associated with the risk of three gynecological tumors. Further exploration of the molecular mechanism of ILs in gynecological tumors may provide potential therapeutic targets for the treatment of gynecological tumors.

To summarize the nursing experience of an elderly postoperative laryngeal cancer patient who developed a Type Ⅳ hiatal hernia.Key nursing care points included the monitoring of shock index and MEWS to promptly activate the rapid response team and implement the Surviving Sepsis Campaign,active fluid resuscitation and continuous monitoring of central venous pressure to prevent cardiopulmonary failure,implementing a personalized postoperative respiratory rehabilitation plan to promote lung re-expansion and prevent pulmonary infection,monitoring and controlling intra-abdominal hypertension,and implementing an intra-abdominal pressure-guided enteral nutrition management plan,employing a restrictive fluid management strategy to reduce tissue edema and maintain fluid and electrolyte balance,implementing an integrated"hospital-community-home"health management plan to improve the patient's quality of life.The patient was hospitalized for 23 days and discharged smoothly,with good recovery after a 3-month follow-up.

Objective To investigate the effect of circular RNA(circRNA)ACAP2 on myocardial injury in MI rats by regulating the miR-421/B cell translocation gene 2(BTG2)axis.Methods A rat MI model and an H9c2 myocardial cell model were constructed.A total of 80 rats were divided into sham operation group,MI group,small interfering RNA-negative control(si-NC)group,si-circACAP2 group,overexpression control(pcDNA3.1)group,pCDNA3.1-circACAP2 group,pCDNA3.1-circACAP2+mimic NC group,and pCDNA3.1-circACAP2+miR-421 mimic group,with 10 rats in each group.H9c2 cells were divided into hypoxia group,hypoxia+si-NC group,hypoxia+si-circACAP2 group,hypoxia+pcDNA3.1 group,hypoxia+pcDNA3.1 circACAP2 group,hypoxia+pcDNA3.1 circACAP2+mimic NC group,hypoxia+pcDNA3.1 circACAP2+miR-421 mimic group,and control group.LVEF,LVFS,myocardial infarction,pathological chan-ges of myocardial tissue,and circACAP2,miR-421 and BTG2 mRNA expression,LDH,CK-MB activity,H9c2 cardiomyocyte viability and apoptosis,BTG2 protein expression in myocardial tis-sue,and BTG2 protein expression in H9c2 cardiomyocytes were detected in each group.Results Compared with the sham operation group,higher mRNA levels of circACAP2(1.84±0.21 vs 1.00±0.10)and BTG2(1.68±0.17 vs 1.00±0.10),larger infarct size,stronger activities of CK-MB and LDH,while decreased expression of miR-421(0.49±0.05 vs 1.00±0.11)and LVFS and LVEF values were observed in the MI group(P＜0.05).Compared with the si-NC group,the si-circACAP2 group had alleviated myocardial injury,increased LVFS and LVEF values,and decreased infarct size and CK-MB and LDH activities(P＜0.05).Significantly increased cell via-bility,and reduced apoptotic rate and CK-MB and LDH activities were observed in the hypoxia+si-circACAP2 group than the hypoxia+si-NC group(P＜0.05).Compared with the pcDNA3.1 group,myocardial injury was aggravated,LVFS and LVEF were decreased,and infarct size and CK-MB and LDH activities were increased in the pcDNA3.1-circACAP2 group(P＜0.05);Com-pared with the hypoxia+pcDNA3.1 group,the hypoxia+PCDNA3.1-circACAP2 group signifi-cantly decreased cell viability,and enhanced apoptotic rate and CK-MB and LDH activities(P＜0.05).Conclusion circACAP2 is up-regulated in MI rats and H9c2 cells,and silencing circACAP2 may improve cardiac function,reduce myocardial injury,and increase cardiomyocyte viability by regulating miR-421/BTG2 axis.

Objective:To investigate the relationship between dyslipidemia and the risk of non-alcoholic fatty liver disease (NAFLD) in adults.Methods:A total of 13 449 individuals with an average age of 37 (31,48) years including 4 815(35.80%) males, who underwent physical examination and had no NAFLD in Tianjin Medical University General Hospital in 2017 were recruited in this prospective study. Participants were followed up till December 31, 2021, and the newly onset NAFLD was defined as endpoint of the study. Cox regression model was used to analyze the correlation between the dyslipidemia and the risk of NAFLD.Results:The mean follow-up period was 2.80 years with total 37 707 person-years of follow-up. Among 13 449 participants, 2 711 subjects developed NAFLD during the follow-up period with a cumulative incidence rate of 20.2%. After adjusting for confounding factors, compared with the non-dyslipidemia group, the hazard ratio (HR) (95% CI) of the 1, 2, and 3 types of dyslipidemia groups were 1.388 (1.253-1.538), 1.200 (1.143-1.261) and 1.282 (1.226-1.342), respectively (trend test: P<0.001); and the HR (95% CI) of the hypercholesterolemia, hypertriglyceridemia, mixed hyperlipidemia and low high-density lipoprotein cholesterolemia groups were 1.165 (1.058-1.283), 1.436 (1.345-1.533), 1.291 (1.240-1.344) and 1.068 (1.014-1.124) respectively (all P<0.05). After adjusting for confounding factors, compared with the normal triglycerides group, HR (95% CI) of moderately elevated triglycerides and elevated triglycerides group were 1.774 (1.590-1.980) and 1.443 (1.345-1.549) respectively (trend test: P<0.001). Conclusion:Dyslipidemia can increase the risk of NAFLD, especially for individuals with hypertriglyceridemia, which indicates that appropriate management of blood lipid levels, especially triglyceride level may effectively prevent NAFLD.

Objective:To analyze the association between sleep status and ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.Methods:It was a cross sentional study. Hypertensive patients who underwent 24-hour ambulatory blood pressure monitoring from May 2021 to April 2023 in Shanghai Xinzhuang Town were enrolled. The demographic information and sleep status of patients were obtained from the questionnaire. A TM-2430 blood pressure monitor was used to measure 24-hour ambulatory blood pressure, and the relevant indicators, including blood pressure level and blood pressure coefficient of variation were documented. The association between sleep status and blood pressure indicators was analyzed with multivariate linear regression model.Results:A total 1 135 patients aged (65.07±12.61) years were enrolled, and 473 (41.67%) of whom were males. The sleep time was<7 hours in 76 cases, 7- 8 hours in 219 cases and >8 hours in 840 cases; the bedtime was earlier than 22∶00 in 415 cases, between 22∶00 and 23∶00 in 474 cases and later than 23∶00 in 246 cases; the wake-up time was before 6∶00 in 230 cases, between 6∶00 and 7∶00 in 521 cases and after 7∶00 in 384 cases. Multivariate linear regression analysis showed that after controlling for gender and age, the sleep time was negatively associated with diurnal, noctumal and 24-hour diastolic blood pressure levels (all P<0.05), and positively associated with diurnal and noctumal systolic blood pressure coefficient of variation, noctumal diastolic blood pressure coefficient of variation, and 24-hour systolic blood pressure coefficient of variation (all P<0.05).The bedtime was positively associated with diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), diastolic blood pressure (all P<0.05); and negatively associated with diurnal systolic blood pressure coefficient of variation, diurnal diastolic blood pressure coefficient of variation, noctumal systolic blood pressure coefficient of variation, 24-hour systolic blood pressure coefficient of variation, and 24-hour diastolic blood pressure coefficient of variation (all P<0.05). The wake-up time was positively associated with diurnal systolic blood pressure, diurnal, noctumal and 24-hour diastolic blood pressure (all P<0.05), and positively associated with diurmal systolic blood pressure and diastolic blood pressure (both P<0.05). Conclusion:Sleep status is closely associated with ambulatory blood pressure monitoring indicators in community-dwelling hypertensive patients.

Objective:To construct a novel dual-specific antibody targeting human CD123 (CD123 DuAb) and study its effects in acute myeloid leukemia (AML) .Methods:Based on the variable region of the CD123 monoclonal antibody independently developed at our institution, the CD123 DuAb expression plasmid was constructed by molecular cloning and transfected into ExpiCHO-S cells to prepare the antibody protein. Through a series of in vitro experiments, its activation and proliferation effect on T cells, as well as the effect of promoting T-cell killing of AML cells, were verified.Results:① A novel CD123 DuAb plasmid targeting CD123 was successfully constructed and expressed in the Expi-CHO eukaryotic system. ②The CD123 DuAb could bind both CD3 on T cells and CD123 on CD123 + tumor cells. ③When T cells were co-cultured with MV4-11 cells with addition of the CD123 DuAb at a concentration of 1 nmol/L, the positive expression rates of CD69 and CD25 on T cells were 68.0% and 44.3%, respectively, which were significantly higher than those of the control group ( P<0.05). ④Co-culture with CD123 DuAb at 1 nmol/L promoted T-cell proliferation, and the absolute T-cell count increased from 5×10 5/ml to 3.2×10 6/ml on day 9, and CFSE fluorescence intensity decreased significantly. ⑤ With the increase in CD123 DuAb concentration in the culture system, T-cell exhaustion and apoptosis increased. When the CD123 DuAb was added at a concentration of 1 nmol/L to the culture system, the proportion of CD8 + PD-1 + LAG-3 + T cells was 10.90%, and the proportion of propidium iodide (PI) - Annexin Ⅴ + T cells and PI + Annexin Ⅴ + T cells was 18.27% and 11.43%, respectively, which were significantly higher than those in the control group ( P<0.05). ⑥ The CD123 DuAb significantly activated T cells, and the activation intensity was positively correlated with its concentration. The expression rate of CD107a on T cells reached 16.05% with 1 nmol/L CD123 DuAb, which was significantly higher than that of the control group ( P<0.05). ⑦The CD123 DuAb promoted cytokine secretion by T cells at a concentration of 1 nmol/L, and the concentration of IFN-γ and TNF-α in the supernatant of the co-culture system reached 193.8 pg/ml and 169.8 pg/ml, respectively, which was significantly higher than that of the control group ( P<0.05). ⑧When CD123 DuAb was added at a concentration of 1 nmol/L to the co-culture system of T cells and CD123 + tumor cells, the killing intensity of T cells significantly increased, and the residual rates of CD123 + MV4-11 cells, CD123 + Molm13 cells, and CD123 + THP-1 cells were 7.4%, 6.7%, and 14.6% on day 3, respectively, which were significantly lower than those in the control group ( P<0.05) . Conclusion:In this study, a novel CD123 DuAb was constructed and expressed. In vitro experiments verified that the DuAb binds to CD123 + tumor cells and T cells simultaneously, promotes T-cell activation and proliferation, and facilitates their anti-leukemia effect, which provides a basis for further clinical research.