Osteoarthritis （OA） and stroke are common clinical diseases that reduce patients' quality of life and place a burden on families and society. Ruyi Zhenbaowan， a classic prescription in Tibetan medicine， have the functions of clearing heat， awakening the brain and opening orifices， relaxing tendons and promoting meridian circulation， and eliminating yellow water. Clinically， they are used to treat osteoarthritis， post-stroke sequelae， neuropathic pain， and other related conditions. Modern pharmacological studies have demonstrated their anti-inflammatory， analgesic， and nerve-repairing effects. However， current research remains insufficient regarding the appropriate indications， timing， and efficacy of this medicine in treating relevant diseases. To enhance clinicians' understanding of this medicine and promote its standardized and rational clinical use， a panel of national experts， including clinical specialists， Tibetan medicine practitioners， pharmacologists， and methodologists， formulated this consensus based on clinical experience and evidence-based practice. The Cochrane systematic review framework， the Grading of Recommendations Assessment， Development and Evaluation （GRADE） system， and the nominal group method were employed to generate seven graded recommendations and 19 consensus-based suggestions. These recommendations clearly define the key points in the clinical application of Ruyi Zhenbaowan， including therapeutic indications， dosage and administration， treatment duration， and medication safety. The consensus specifically addresses the clinical efficacy， appropriate timing of administration， dosage strategies， treatment cycles， and combination medication strategies for treating osteoarthritis and stroke and provides an overview of safety considerations. The aim is to provide standardized guidance for hospitals and healthcare institutions nationwide to ensure the rational application of Ruyi Zhenbaowan in the treatment of osteoarthritis and stroke， reduce medication-related risks， and further leverage its clinical advantages. This consensus has been approved and issued by the China Association of Chinese Medicine， with the standard number GS/CACM 369-2024.

Maternal health during pregnancy has a direct impact on the risk and severity of neurodevelopmental disorders (NDDs) in the offspring, especially in the case of drug exposure. However, little progress has been made to assess the risk of drug exposure during pregnancy due to ethical constraints and drug use factors. We collected and manually curated sub-pathways and pathways (sub-/pathways) and drug information to propose an analytical framework for predicting drug candidates. This framework linked sub-/pathway activity and drug response scores derived from gene transcription data and was applied to human fetal brain development and six NDDs. Further, specific and pleiotropic sub-/pathways/drugs were identified using entropy, and sex bias was analyzed in conjunction with logistic regression and random forest models. We identified 19 disorder-associated and 256 regionally pleiotropic and specific candidate drugs that targeted risk sub-/pathways in NDDs, showing temporal or spatial changes across fetal development. Moreover, 5443 differential drug-sub-/pathways exhibited sex-biased differences after filling in the gender labels. A user-friendly NDDP visualization website ( https://ndd-lab.shinyapps.io/NDDP ) was developed to allow researchers and clinicians to access and retrieve data easily. Our framework overcame data gaps and identified numerous pleiotropic and specific candidates across six disorders and fetal developmental trajectories. This could significantly contribute to drug discovery during pregnancy and can be applied to a wide range of traits.
Humans ; Female ; Pregnancy ; Neurodevelopmental Disorders/metabolism* ; Male ; Prenatal Exposure Delayed Effects ; Fetal Development/drug effects* ; Drug Discovery/methods* ; Brain/metabolism*

Objective To explore the research path to construct knowledge representation,knowledge analysis,knowledge presentation and knowledge reasoning of ancient stroke medical cases based on knowledge element theory and knowledge graph.Methods A multi-layered knowledge representation system of medical cases was constructed,which included"knowledge body-knowledge element-semantics and semantic relationships",and knowledge element indexing system was used to parse the text into structured data.Combined with the attribute graph model for graph design,Neo4j was used to build a knowledge graph,and visual presentation and analysis were performed.Results A total of 517 medical cases from 86 ancient books were included,forming a knowledge representation system including 2 types of knowledge bodies,19 types of knowledge elements,27 types of semantics and 9 types of semantic relationships.The original knowledge graph had 19 node types(8 virtual nodes)and 15 relationship types,totaling 6363 nodes and 14697 relationships;the integrated knowledge graph had 11 node types and 11 relationship types,totaling 1229 nodes and 11456 relationships.Hierarchical subgraph visualization and node connectivity analysis methods completed implicit knowledge exploration and reasoning.Conclusion The knowledge representation system can guide the structured expression and semantic level analysis of ancient text,and provide systematic data support for the construction of knowledge graphs.The original knowledge graph of ancient and modern dual-mode knowledge graph focuses on the visual presentation of complex diagnosis and treatment ideas,which is conducive to improving the efficiency of medical cases review;integrating the knowledge graph to build a scale-free network and using group cases as the object can realize the tacit knowledge of stroke from a macro dimension excavation.

Purpose/Significance Taking Jiashan county's chronic disease management mode based on blockchain as an example,new strategies for chronic disease management under the integrated county medical community mode are discussed.Method/Process U-sing the PEST-SWOT analysis method,the paper analyzes the strengths,weaknesses,opportunities and threats of the chronic disease management mode based on blockchain in Jiashan county from 4 aspects:politics,economy,society,and technology.Result/Conclu-sion The chronic disease management mode based on blockchain technology can ensure seamless connection and sharing of data,guaran-tee the security and traceability of patients'personal information and health records,and promote the common development of blockchain technology and chronic disease management in Jiashan county.

Objective·To assess the levels of pregnancy-related stress,pre-pregnancy health care behaviors,and coping styles among pregnant women,analyze the influencing factors of pregnancy stress and provide insights for the management of pregnancy health in expectant mothers.Methods·A total of 265 pregnant women receiving treatment at the Obstetrics Clinic of the Affiliated Hospital of Zunyi Medical University from April to August 2022 were included as participants.General information questionnaires,pre-pregnancy health care behavior questionnaires,pregnancy stress scales and simple coping style questionnaires were utilized for data collection.After obtaining the consent of the patients,assessments on pregnancy stress levels,pre-pregnancy health care behaviors,and coping styles were conducted.Results·The overall average score for pregnancy stress among pregnant women was 1.05±0.41.Multiple linear regression analysis revealed that age,number of pregnancies,history of threatened abortion,fetal gender expectations,attending prenatal education classes or reviewing relevant manuals significantly influenced pregnancy-related stresses(P<0.05).The score of pre-pregnancy health care behavior was 10.09±2.63 with proportions indicating high-level,medium-level,and low-level adherence at 17.36%,54.34%,and 28.30%.In pregnant women,the total score for coping styles was 27.22±9.68,with a positive coping dimension score of 17.79±9.84 and a negative coping dimension score of 9.42±7.39.Pearson correlation analyses demonstrated a negative association between pregnancy-related stresses and pre-pregnancy health care behaviors(r=-0.313,P<0.01),and a negative correlation between pregnancy-related stresses and coping styles(r=-0.163,P<0.01),while a positive relationship existed between pre-pregnancy health care behaviors and coping styles(r=0.220,P<0.01).Conclusion·Pregnant women experience moderate levels of pressure during their pregnancies and have suboptimal engagement in preconceptional healthcare practices.Nursing staff should intensify efforts towards disseminating knowledge on preconceptional healthcare practices,thereby empowering women of childbearing age to actively acquire pertinent reproductive-health knowledge prior to conception so that minimizing adverse maternal-infant outcomes,optimizing maternal-infant healthcare strategies,and enhancing overall well-being can be achieved through these measures.

Objective:To assess the methodological and measurement quality of comprehensive assessment tools for evaluating senile dementia, in order to provide evidence-based guidance for clinical selection of the best assessment tool.Methods:Manually searched CNKI, Wanfang Database, VIP Database, SinoMed, PubMed, Embase, Web of Science, Cochrane Library, CINAHL, ProQuest, Ovid and Scopus databases to collect and evaluate comprehensive assessment tool measurements forsenile dementia. For research on academic attributes, the search time limit was from the establishment of the database to January 4th, 2024. Two researchers independently screened the literature and extracted information, used the COSMIN guidelines to evaluate the included assessment tools, and formed final recommendations.Results:A total of 14 articles were included, including 9 comprehensive assessment tools for the elderly with dementia. Among them, the Care Needs Assessment Scale for Alzheimer′s Disease Patients had moderate and above evidence proving that its content validity and internal consistency were "sufficient", so it was a category A strong recommendation. The remaining 8 evaluation tools were all category B recommendations.Conclusions:Among the existing comprehensive assessment tools for the elderly with dementia, the Care Needs Assessment Scale for Alzheimer′s Disease Patients has good reliability and validity. This scale has 4 dimensions and 16 items. However, there are uncertainties and unmentioned measurement properties of the scale in terms of cross-cultural validity/measurement equivalence, stability, measurement error, hypothesis testing, calibration validity, and responsiveness. More evidence is needed in the future to further comprehensively validate and improve it, providing a basis for selecting a more effective, comprehensive and high-quality comprehensive assessment tool for the elderly with dementia.

Objective To explore the task-state electroencephalogram(EEG)characteristics of working memory in patients with post-stroke aphasia(PSA). Methods From September,2020 to February,2021,a total of eight patients with PSA(PSA group)and eight healthy adults(HC group)were recruited to collect EEG and memory scale data.The EEG data of working memory task-states were used to analyze the characteristics of the EEG frequency band indicators in time domain event-related potentials(ERP)and frequency;and the correlation with the items in the memory scale. Results Finally,five patients and five controls were included.N1 and P2 components were induced in the frontal area,and P300 components were induced in the parieto-occipital area.Compared with HC group,the activation of N1 and P2 increased in central prefrontal region,while the activity of P300 decreased in the right parieto-occipital re-gion in PSA group(|t|>2.193,P<0.05).The energy of theta band decreased in the right prefrontal region and the central parieto-occipital region,the energy of alpha1 band decreased in the left parieto-occipital region,and the energy of gamma band increased in the left central region(t>2.398,P<0.05).The energy of gamma band correlated with immediate recall(r = 0.914,P = 0.030)and correct recognition(r = 0.931,P = 0.022)of Auditory Verbal Learning Test,and inverting(r = 0.924,P = 0.025)and anterograde(r = 0.889,P = 0.044)of Digit Span Test. Conclusion Visual working memory task can activate the compensatory processing activity of memory related brain re-gions after PSA,which can be used as an objective indication for the evaluation of PSA working memory related research.There is close relationship between language impairment and working memory.

With the rapid development of information technology， research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service， thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory， we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books， built a knowledge sharing service platform for ancient TCM books by integrating database， cloud platform， knowledge graph and other technologies， and carried out the thematic literature research and developed databases for four major diseases including stroke， heart failure， liver cirrhosis， and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally， through "digital processing plus intelligent application"， the two-way interaction between ancient TCM books and current clinical practice is realized， and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed， providing reference for the innovative utilization of ancient TCM books.

ObjectiveTo visualize the research trends of verbal and nonverbal cognitive functions in patients with post-stroke aphasia (PSA). MethodsPapers about verbal and nonverbal cognitive functions after stroke were extracted from Web of Science Core Collection from establishment to August, 2022, and a bibliometric analysis was conducted on the distribution of articles published by year, author, journal, institution, and country. Author cooperation, author co-citation, journal co-citation, country/institution cooperation, dynamic evolution, keyword hotspots, and trends were visually analyzed by using VOSviewer software. ResultsA total of 1 630 publications were identified for final analysis. The first article related to the topic was retrieved in 2004. After that, the number of published papers showed an increasing trend year by year, with some fluctuations after 2019. Matthew A. Lambon Ralph and Elizabeth Jefferies were the authors who produced the most, were cited the most, and were the most influential. Neuropsychologia was a highly productive and well-cited publication. The University of Manchester in the United Kingdom and Johns Hopkins University in the United States were the nations/institutions with high yield and high centrality. Although China had a high yield and was in the top five, the centrality was insufficient. The dynamic emergence of keywords revealed that the research had gone through the following stages: evaluating the mechanism of language and nonverbal cognitive function impairment based on neuroimage, exploring the role of nonverbal cognitive dysfunction in pathology and recovery mechanisms of patients with PSA, examining the therapeutic mechanism of non-invasive brain stimulation and electronic tele-rehabilitation equipment, and revealing not only the frontal and temporal areas but also brain network supporting nonverbal cognition. ConclusionIn recent years, some achievements have been made in the researches on verbal and nonverbal cognitive function, particularly in the studies of the neuroimaging-based mechanisms of common damage and the intervention effects of synergistic therapy. In the future, academic cooperation between different regions and different teams needs to be strengthened. Further exploration should be focused on refining the cognitive neuropsychology and exploring new technologies to improve the therapeutic effect of PSA.

Objective:To assess the clinical effectiveness and safety of Omalizumab for treating pediatric allergic asthma in real world in China.Methods:The clinical data of children aged 6 to 11 years with allergic asthma who received Omalizumab treatment in 17 hospitals in China between July 6, 2018 and September 30, 2020 were retrospectively analyzed.Such information as the demographic characteristics, allergic history, family history, total immunoglobulin E (IgE) levels, specific IgE levels, skin prick test, exhaled nitric oxide (FeNO) levels, eosinophil (EOS) counts, and comorbidities at baseline were collected.Descriptive analysis of the Omalizumab treatment mode was made, and the difference in the first dose, injection frequency and course of treatment between the Omalizumab treatment mode and the mode recommended in the instruction was investigated.Global Evaluation of Treatment Effectiveness (GETE) analysis was made after Omalizumab treatment.The moderate-to-severe asthma exacerbation rate, inhaled corticosteroid (ICS) dose, lung functions were compared before and after Omalizumab treatment.Changes in the Childhood Asthma Control Test (C-ACT) and Pediatric Asthma Quality of Life Questionnaire (PAQLQ) results from baseline to 4, 8, 12, 16, 24, and 52 weeks after Omalizumab treatment were studied.The commodity improvement was assessed.The adverse event (AE) and serious adverse event (SAE) were analyzed for the evaluation of Omalizumab treatment safety.The difference in the annual rate of moderate-to-severe asthma exacerbation and ICS reduction was investigated by using t test.The significance level was set to 0.05.Other parameters were all subject to descriptive analysis.A total of 200 allergic asthma patients were enrolled, including 75.5% ( n=151) males and 24.5% ( n=49) females.The patients aged (8.20±1.81) years. Results:The median total IgE level of the 200 patients was 513.5 (24.4-11 600.0) IU/mL.Their median treatment time with Omalizumab was 112 (1-666) days.Their first dose of Omalizumab was 300 (150-600) mg.Of the 200 cases, 114 cases (57.0%) followed the first Omalizumab dosage recommended in the instruction.After 4-6 months of Omalizumab treatment, 88.5% of the patients enrolled ( n=117) responded to Omalizumab.After 4 weeks of treatment with Omalizumab, asthma was well-controlled, with an increased C-ACT score [from (22.70±3.70) points to (18.90±3.74) points at baseline]. Four-six months after Omalizumab administration, the annual rate of moderate-to-severe asthma exacerbation had a reduction of (2.00±5.68) per patient year( t=4.702 5, P<0.001), the median ICS daily dose was lowered [0 (0-240) μg vs. 160 (50-4 000) μg at baseline] ( P<0.001), the PAQLQ score was improved [(154.90±8.57) points vs. (122.80±27.15) points at baseline], and the forced expiratory volume in one second % predicted (FEV 1%pred) was increased [(92.80±10.50)% vs. (89.70±18.17)% at baseline]. In patients with available evaluations for comorbidities, including allergic rhinitis, atopic dermatitis or eczema, urticaria, allergic conjunctivitis and sinusitis, 92.8%-100.0% showed improved symptoms.A total of 124 AE were reported in 58 (29.0%) of the 200 patients, and the annual incidence was 0(0-15.1) per patient year.In 53 patients who suffered AE, 44 patients (83.0%) and 9 patients (17.0%) reported mild and moderate AE, respectively.No severe AE were observed in patients.The annual incidence of SAE was 0(0-1.9) per patient year.Most common drug-related AE were abdominal pain (2 patients, 1.0%) and fever (2 patients, 1.0%). No patient withdrew Omalizumab due to AE. Conclusions:Omalizumab shows good effectiveness and safety for the treatment of asthma in children.It can reduce the moderate-to-severe asthma exacerbation rate, reduce the ICS dose, improve asthma control levels, and improve lung functions and quality of life of patients.