Objective: This study proposes a clustering framework for Chinese materia medica (CMM) based on a large language model (LLM), aiming to explore potential compatibility patterns among CMMs from the semantic perspective of CMM property theory. Methods: First, a CMM property knowledge base was constructed based on Chinese Materia Medica, including 567 commonly used CMMs characterized by four properties, five flavors, and meridian tropism. Then, 49 CMMs derived from 10 prescriptions for Zangdu (脏毒, pathogenic toxins) recorded in Waike Zhengzong (《外科正宗》, Orthodox Manual of External Medicine) and Yangke Xinde Ji (《疡科心得集》, Collected Insights on Ulcer Medicine) were selected as the experimental dataset. Five semantic representation methods—One-Hot, Word2Vec, Bidirectional Encoder Representations from Transformers (BERT), Beijing Academy of Artificial Intelligence General Embedding (BGE), and Qwen—were applied to encode CMM property information into vector representations. Subsequently, t-distributed Stochastic Neighbor Embedding (t-SNE) was used for nonlinear dimensionality reduction on high-dimensional semantic vectors, followed by k-means clustering (k = 7). Clustering performance was evaluated using the Silhouette Score (SS), Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). Results: The Qwen-based clustering method, CMM-EmbedCluster, achieved the highest SS (0.607 4) and CHI (158.057 2), as well as the lowest DBI (0.499 5), indicating improved cluster separation and compactness compared with other methods. Visualization of CMM clustering results showed that the clusters were well separated in the low-dimensional space, with strong inter-cluster discrimination and high intra-cluster functional consistency. Further interpretability analysis of CMM clustering results revealed stable structural differences among clusters in terms of four properties, five flavors, and meridian tropism, forming functional partitions consistent with CMM property theory. Conclusion CMM-EmbedCluster utilizes an LLM to achieve semantic-level representation and clustering of CMMs within the framework of CMM property theory, providing support for exploring potential compatibility patterns among CMMs from the perspective of CMM property semantics.

Objective: To investigate the association between parenting styles and attention deficit hyperactivity disorder (ADHD) in preschool children，so as to provide a basis for family based interventions for ADHD in the population. Methods: Between August and December 2023, a random cluster sampling method was used to recruit 6 454 preschool children from 60 kindergartens in two counties/districts in Wuhu City, Anhui Province. The Swanson, Nolan, and Pelham Rating Scale, version IV was used to assess ADHD symptoms, and the Caregiver Parenting Style Questionnaire was applied to collect data on parenting styles. Multivariate Logistic regression was used to analyze the associations between parenting styles and ADHD subtypes. Results: Among the preschool children, 235 were screened positive for ADHD, with a positivity rate of 3.64%. Parenting style scores were as follows:indulgent parenting for 8.00 (7.00, 10.00), authoritative parenting for 38.00 (33.00, 41.00), permissive parenting for 14.00 (11.00, 17.00), authoritarian parenting for 17.00 (14.00, 20.00), and inconsistent parenting 10.00 (7.00, 12.00). Multivariate Logistic regression analysis showed that, after adjustment for confounding factors such as childrens sex, age, and family characteristics, preschool children with authoritarian parenting style were associated with higher odds of hyperactive ( OR = 1.13 ) and combined ADHD subtypes ( OR =1.11), while those with inconsistent parenting style were associated with higher odds of the inattentive subtype ( OR =1.09) (all P <0.01). Indulgent, democratic and permissive parenting styles showed no statistically significant associations with any ADHD subtype ( OR =1.02-1.07, 0.98-1.00, 1.01-1.03, all P >0.05). Conclusions Parenting styles are closely associated with the occurrence and subtypes of ADHD in preschool children. Authoritarian and inconsistent parenting styles are potential risk factors for ADHD in preschool children, and modifying adverse parenting styles may serve as an important strategy for family based interventions for ADHD in preschool children.

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 etiological characteristics between influenza-like illness (ILI) cases in outpatient and emergency departments and those with severe acute respiratory infection (SARI) in Guangdong Province, hoping to provide scientific evidence for the treatment, prevention, and control of respiratory infectious diseases.Methods:Laboratory testing for multiple respiratory pathogens was conducted on 6 090 specimens collected from ILI and SARI cases in Guangdong Province from August to December 2023. Chi-square test was used to analyze the differences in positive rates. Results:The overall positive rate of respiratory pathogens was 49.5% (3 016/6 090). The positive rate was 54.5% (2 260/4 145) in ILI cases and 38.9% (756/1 945) in SARI cases. The overall positive rate was higher in ILI cases than in SARI cases across all genders and age groups, and in most cities of the province, with statistically significant differences ( P<0.05). No significant difference was found in the overall positive rate between different genders. However, the difference between different age groups was statistically significant( P<0.001), with the highest rate identified in children aged 5-14 years (57.2%, 957/1 673). The main pathogens detected in ILI cases were influenza virus, human rhinovirus/enterovirus, and Streptococcus pneumoniae, while in SARI cases they were Mycoplasma pneumoniae, human rhinovirus/enterovirus, and influenza virus. The positive rates of adenovirus, human parainfluenza virus, SARS-CoV-2, human coronavirus, influenza virus, and Streptococcus pneumoniae were significantly higher in ILI cases than in SARI cases, while the positive rate of Mycoplasma pneumoniae was significantly higher in SARI cases ( P<0.05). Moreover, ILI cases were characterized by a higher risk of coinfection compared with SARI cases, especially in males or those aged 25-59 years. Conclusions:There are differences in the detection rates and spectrum of respiratory pathogens between ILI and SARI cases in Guangdong Province. Case features should be considered when developing strategies for preventing and treating respiratory infections.

Objective:To analyze the evaluation of the “1+1+2M” healthcare management model (outpatient core medical staff+ward core medical staff+multi interdisciplinary team+multi department coordination) by healthcare workers in a large public hospital and its influencing factors.Methods:It was a cross-sectional study, using the judgment sampling method to select 70 healthcare workers in the hospital healthcare department in November 2024. A self-designed public hospital healthcare management model evaluation questionnaire was used to investigate the “1+1+2M” healthcare management model. A total of 70 questionnaires were distributed, and 70 valid questionnaires were collected (100%). The basic information, team integration, human resource allocation, and evaluation of healthcare management models in the healthcare workers were collected. The factors affecting healthcare worker evaluation were identified with Kruskal Wallis test and multiple logistic regression analysis.Results:Among the 70 healthcare workers included in the analysis, there were 30 doctors, 30 nursing staff, and 10 management/technical personnel; 19 males and 51 females; more than 70% of the participants were aged 50 years or younger; the length of service was (19.11±9.44) years, and the length of service for healthcare was (9.79±6.06) years. Healthcare workers showed high satisfaction with the “1+1+2M” healthcare management model, with an overall satisfaction rate of 87.14% (61/70). The evaluation of work collaboration, business norms, and mode configuration by healthcare workers was positively correlated with the evaluation of healthcare management mode [very satisfied with health management mode: relatively satisfied with work collaboration ( OR=0.064, 95% CI: 0.004-0.965), satisfied with business norms ( OR=0.018, 95% CI: 0.001-0.312), relatively satisfied with business norms ( OR=0.061, 95% CI: 0.004-0.938), satisfied with mode configuration ( OR=0.006, 95% CI: 0.000-0.111); satisfied with health management mode: satisfied with business norms ( OR=0.049, 95% CI: 0.005-0.498), satisfied with mode configuration ( OR=0.074, 95% CI: 0.006-0.943)] (all P<0.05). Conclusions:The health care staff in a large public hospital have a good evaluation of the operation effect of the “1+1+2M”health management model. The higher the evaluation of work collaboration, business norms, and model configuration by the health care staff, the higher the overall satisfaction with the health management model.

Acute pancreatitis(AP)is a frequently encountered acute abdominal syndrome in clinical settings,and the integrated model of traditional Chinese and Western medicine(TCM-WM)has demonstrated notable advantages in the diagnosis and treatment of AP.To systematize and standardize clinical practices related to develop clinical pathway for integrated TCM-WM diagnosis and treatment of AP,which enhances the efficiency and quality of patient care.This pathway focuses on AP,a common acute and life-threatening disease within the digestive system,and outlines that the central pathological mechanism involves pancreatic injury and localized inflammation resulting from the abnormal activation of pancreatic enzymes.It has the characteristics of rapid onset,multiple causes,and complex manifestations.Severe cases can be life-threatening.At present,conventional treatments encompass a diverse range of modalities.Moreover,traditional Chinese medicine(TCM)holds distinct advantages in alleviating relevant symptoms,and TCM-WM is gaining increasing prevalence.To enhance the standardization and consistency of diagnostic and therapeutic practices,this clinical pathway clearly delineates the target patient population,which includes individuals diagnosed with abdominal pain disorder according to TCM and with AP in accordance with WM criteria,as well as the corresponding inclusion standards.The diagnostic framework integrates both TCM and WM guidelines,and further incorporates disease staging,severity grading,and syndrome differentiation to support a comprehensive and integrated diagnostic strategy.The treatment integrates approaches from both TCM and WM.Within the WM framework,interventions consist of basic supportive care,infection control,nutritional support,and the management of complications.In the context of TCM,the protocol includes syndrome differentiation and corresponding therapeutic strategies(Distinct syndrome patterns are identified and managed during the acute and convalescent phases),such as acupuncture and retention enema.This clinical pathway addresses multiple key components,including preventive strategies,post-treatment follow-up,criteria for evaluating therapeutic efficacy,admission and discharge,admission examination protocols,discharge criteria,and the rationale for deviations or withdrawal from the pathway.It is designed to provide a systematic and standardized reference framework for relevant clinical practices.

OBJECTIVES: To create a mixed valvular heart disease (MVHD)-related age-adjusted comorbidity index (MVACI) model for predicting mortality risk of patients with MVHD. METHODS: A total of 4080 patients with moderate or severe MVHD in the China-VHD study were included. The primary endpoint was 2-year all-cause mortality. A MVACI model prediction model was constructed based on the mortality risk factors identified by univariate and multivariate Cox regression analysis. Restricted cubic splines were used to assess the relationship between MVACI scores and 2-year all-cause mortality. The optimal threshold, determined by the maximum Youden index from receiver operator characteristic (ROC) curve analysis, was used to stratify patients. Kaplan-Meier method was used to calculate 2-year all-cause mortality and compared using the Log-rank test. Univariate and multivariate Cox proportional hazards models were employed to calculate hazard ratios (HR) and 95% confidence intervals (CI), evaluating the association between MVACI scores and mortality. Paired ROC curves were used to compare the discriminative ability of MVACI scores with the European System for Cardiac Operative Risk Evaluation Ⅱ(EuroSCORE Ⅱ) or the age-adjusted Charlson comorbidity index (ACCI) in predicting 2-year clinical outcomes, while calibration curves assessed the calibration of these models. Internal validation was performed using the Bootstrap method. Subgroup analyses were conducted based on etiology, treatment strategies, and disease severity. RESULTS: Multivariate analysis identified the following variables independently associated with 2-year all-cause mortality in patients: pulmonary hypertension, myocardiopathy, heart failure, low body weight (body mass index <18.5 kg/m²), anaemia, hypoalbuminemia, renal insufficiency, cancer, New York Heart Association (NYHA) class and age. The score was independently associated with the risk of all-cause mortality, and exhibited good discrimination (AUC=0.777, 95%CI: 0.755-0.799) and calibration (Brier score 0.062), with significantly better predictive performance than EuroSCORE Ⅱ or ACCI (both adjusted P<0.01). The internal validation showed that the MVACI model's predicted probability of 2-year all-cause mortality was generally consistent with the actual probability. The AUCs for predicting all-cause mortality risk were all above 0.750, and those for predicting adverse events were all above 0.630. The prognostic value of the score remained consistent in patients regardless of their etiology, therapeutic option, and disease severity. CONCLUSIONS The MVACI was constructed in this study based on age and comorbidities, and can be used for mortality risk prediction and risk stratification of MVHD patients. It is a simple algorithmic index and easy to use.
Humans ; Prognosis ; Comorbidity ; Heart Valve Diseases/epidemiology* ; Female ; Male ; Middle Aged ; Aged ; Proportional Hazards Models ; Risk Factors ; China/epidemiology* ; Age Factors ; Risk Assessment ; Adult ; ROC Curve

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.