Objective To construct a model combining with traditional Chinese medicine(TCM)syndrome for predicting the risk of disease progression in patients with idiopathic membranous nephropathy(IMN)by machine learning methods,thus to quantitatively evaluating the value of TCM syndrome in the prediction of the risk of disease progression in IMN.Methods Monofactor analysis,recursive feature elimination(RFE)and multivariate binary Logistic regression analysis were used to screen the independent related factors affecting the risk of disease progression of IMN,and then a risk prediction model was constructed.A total of 102 patients with IMN were randomly assigned to the training set and the test set in a ratio of 65∶35,and then the comparison was conducted in the performance indicators of accuracy,sensitivity,specificity,F1 value,and area under the receiver operating characteristic(ROC)area under the curve(AUC)of the risk prediction model with or without the inclusion of the TCM syndrome information.Results Before the inclusion of TCM syndrome information,12 clinical characteristic variables for patients with MN were obtained after monofactor analysis combined with RFE screening,and they were age,hemoglobin quantification,urinary occult blood,24-hour urine protein quantification,urine protein-creatinine ratio,estimated glomerular filtration rate(eGFR),creatinine,uric acid,alanine transaminase,anti-phospholipase A2 receptor antibody(PLA2R-Ab),total cholesterol,and low-density lipoprotein cholesterd.A risk cholesterol prediction model containing the above variables was constructed.The multivariate binary Logistic regression analysis showed that the differences of the clinical variables mentioned above between the training-set group and test-set group were statistically significant,and the risk prediction model presented good sensitivity and predictability.Monofactor analysis combined with RFE screening was performed again after the inclusion of TCM syndrome information,and then 14 variables were obtained,which included blood stasis syndrome and dampness obstruction syndrome.The sensitivity and specificity of the model with the inclusion of the TCM syndrome information were significantly improved when compared with those without the inclusion of TCM syndrome information.Conclusion The results of the study initially indicate that TCM syndrome can be used as an important supplementary variable for predicting the risk of disease progression in IMN,and will provide a reference for intelligent diagnosis through the integration of traditional Chinese and western medicine information,and will supply the guidance for the treatment of IMN with TCM.

This paper summarizes Li Fei's academic insights and clinical experience in treating intractable facial paralysis.Li Fei posits that prolonged illness inevitably leads to deficiency and stasis,and thus,the treatment of intractable facial paralysis should first focus on identifying the etiology and syndrome differentiation,resolving stasis and unblocking stagnation,and regulating qi and blood,with particular emphasis on the relaxation of the meridian sinew system.The meridian sinew system,affiliated with the meridian and collateral,serves as the framework through which qi and blood nourish muscles,tendons,and joints,playing a crucial role in facial paralysis treatment.Guided by the theory of the meridian sinew system,Li Fei employs syndrome-based treatment,integrating the anatomy of facial expression muscles.His approach includes needle-knife therapy to release adhesions and break stasis,acupuncture to harmonize qi and blood,and intradermal needle therapy for sustained stimulation.Through these methods,the meridian sinew system is relaxed,qi and blood are regulated,and facial muscles are nourished,leading to gradual recovery from facial paralysis.

OBJECTIVE: This study aimed to investigate the impact of glycemic control and diabetes duration on subsequent myocardial infarction (MI) in patients with both coronary heart disease (CHD) and type 2 diabetes (T2D). METHODS: We conducted a retrospective cohort study of 33,238 patients with both CHD and T2D in Shenzhen, China. Patients were categorized into 6 groups based on baseline fasting plasma glucose (FPG) levels and diabetes duration (from the date of diabetes diagnosis to the baseline date) to examine their combined effects on subsequent MI. Cox proportional hazards regression models were used, with further stratification by age, sex, and comorbidities to assess potential interactions. RESULTS: Over a median follow-up of 2.4 years, 2,110 patients experienced MI. Compared to those with optimal glycemic control (FPG < 6.1 mmol/L) and shorter diabetes duration (< 10 years), the fully-adjusted hazard ratio ( HR) (95% Confidence Interval [95% CI]) for those with a diabetes duration of ≥ 10 years and FPG > 8.0 mmol/L was 1.93 (95% CI: 1.59, 2.36). The combined effects of FPG and diabetes duration on MI were largely similar across different age, sex, and comorbidity groups, although the excess risk of MI associated with long-term diabetes appeared to be more pronounced among those with atrial fibrillation. CONCLUSION Our study indicates that glycemic control and diabetes duration significant influence the subsequent occurrence of MI in patients with both CHD and T2D. Tailored management strategies emphasizing strict glycemic control may be particularly beneficial for patients with longer diabetes duration and atrial fibrillation.
Humans ; Diabetes Mellitus, Type 2/blood* ; Male ; Female ; Middle Aged ; Aged ; Coronary Disease/complications* ; Myocardial Infarction/etiology* ; Retrospective Studies ; China/epidemiology* ; Glycemic Control ; Blood Glucose ; Adult ; Risk Factors ; Time Factors

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Plant-derived extracellular vesicles (PDEVs), describe a group of nanoparticles released by plants. These particles are characterized by a lipid bilayer structure containing various proteins, lipids, nucleic acids, and unique metabolites. Although the study on PDEVs is relatively new, having only been around for ten years, they have shown promising development prospects in both basic research and clinical transformation areas. Evidence suggests that PDEVs have excellent application prospects in regulating inflammation and treating tumors. Their distinctive, vesicle-mimicking architecture and stellar biocompatibility render them prime candidates for ferrying various anti-cancer agents, including RNA, proteins, and conventional chemotherapy drugs. Increasingly, studies have shown that PDEVs can be engineered as an innovative platform for combination cancer immunotherapy. Consequently, this paper provides an extensive summary of current developments in engineering methods and strategies for PDEVs in cancer treatment and combined cancer immune therapeutics. The essential characteristics of PDEVs, including the biogenesis process and components, as well as their anti-tumor activity and mechanism, are summarized. Finally, the in vivo safety of PDEVs as delivery vectors and the challenges of scale-up production and clinical transformation are discussed.

Objective To analyze the current status of outcome measures in randomized controlled trials(RCTs)of acupuncture treatment for vascular dementia(VD)and promote the development of a standardized set of outcome measures.Methods Chinese and English literature databases were searched,including the Chinese Medical Periodical Full-Text Database,the Chinese Biology Medicine disc,China National Knowledge Infrastructure,Wanfang Data,VIP Database,PubMed,Embase,the Cochrane Library,MEDLINE,Web of Science,Chinese Clinical Trials Registry,and the International Traditional Medicine Clinical Trial Registry.Two researchers independently screened RCT literature on acupuncture treatment for VD between January 1,2015 and January 1,2025,risk of bias was assessed using the Cochrane Risk of Bias 2 tool.Extract basic study information,intervention measures,diagnostic criteria for both Chinese and Western medicine,TCM syndromes,and outcome measures.Summarize the indicator domains of RCT studies on acupuncture treatment for VD,and analyze the basic information and outcome measures of the included studies.Results A preliminary search identified 2,898 articles,of which 93 RCTs were ultimately included.These studies involved 84 outcome measures,covering six indicator domains:symptoms/signs(23.81%),traditional Chinese medicine(TCM)syndromes(3.57%),medical checkups(60.71%),quality of life(5.95%),safety assessment(4.76%),and prognosis follow-up(1.19%).A total of 91(97.85%)RCTs reported treatment duration,ranging from 2 to 24 weeks;72(77.42%)RCTs used clinical efficacy as the outcome indicator;11 studies(11.83%)reported safety assessments and adverse events.Conclusion Currently,the RCT study design for acupuncture treatment of VD lacks unified standards and has numerous methodological issues.These include insufficient description of sample size estimation processes,strong reliance on subjective rating scales,ambiguous definitions of primary and secondary outcome measures,incomplete integration of Chinese and Western medical indicators,and insufficient reflection of individualized syndrome differentiation and treatment characteristics.In addition,safety assessments and follow-up mechanisms remain relatively weak.Future research should focus on the essential nature of VD,establish a core set of indicators aligned with the clinical characteristics of traditional Chinese medicine,promote the scientific and standardized development of acupuncture research for VD,and provide more compelling evidence-based support for clinical practice.

Objective:To investigate the predictive value of a machine learning model combining contrast-enhanced ultrasound（CEUS）parameters，radiomics features of ultrasound images，and clinical data for pathological grading in bladder urothelial carcinoma（BUC）.Methods:A retrospective analysis was conducted on 174 BUC patients from Inner Mongolia Autonomous Region People 's Hospital and the First Affiliated Hospital of Baotou Medical College from December 2017 to March 2024. One hundred and thirteen BUC patients from the former hospital were randomly divided into training group and internal test group in a ratio of 7 to 3，while 61 BUC patients from the latter hospital served as an external test group. The patients were stratified into low-grade bladder urothelial carcinoma（LGBUC）and high-grade bladder urothelial carcinoma（HGBUC）groups based on pathology. Two-dimensional grayscale ultrasound images were subjected to super-resolution（SR）reconstruction，followed by extraction and screening of radiomics features in comparison with CEUS video sequences. Selected features were input into a support vector machine（SVM）to build the radiomics model. CEUS parameters，conventional ultrasound metrics and clinical data with statistical significance between LGBUC and HGBUC groups were input into SVM to construct the clinical model. The radiomics and clinical model outputs were fused via multivariate Logistic regression to form a combined model. Model performances were evaluated using ROC curves，calibration curves，and clinical decision curves. Results:Seven radiomics features from SR images were used to build the radiomics model，while CEUS parameters（peak intensity and time-to-peak half），age，tumor-wall interface and tumor-wall angle formed the clinical model. The combined model integrated these outputs. All 3 models exhibited respective strengths，the combined model showed superior robustness. The AUCs of the combined model in the training，internal test and external test groups were 0.92，0.84 and 0.82，respectively.Conclusions:The combined model combining CEUS parameters，ultrasound radiomics features，and clinical data accurately predicts BUC pathological grade，providing a potential tool for clinical diagnosis and treatment.

Based on the theory of "three regions and sanjiao" in traditional Chinese medicine (TCM), the acupuncture-moxibustion differentiation and treatment system is explored and constructed for spasm syndrome, so as to provide a clearer guiding framework for TCM treatment of spasm syndrome. This disorder is caused essentially by the invasion of pathogenic wind, and located in brain marrow. The key regions of illness cover five zang organs and five tissues, and the core pathogenesis is associated with wind disturbance in brain marrow. In differentiation, spasm syndrome refers to overall transmission (from the upper to the lower) and local transmission (from exterior to interior). This disorder can be classified into sanjiao spasm (heart-lung spasm of the upper jiao, liver-spleen spasm of the middle jiao, and liver-kidney spasm of the lower jiao) and three-region spasm (skin-vessel spasm of the upper region, tendon-muscle spasm of the middle region, and tendon-bone spasm of the lower region). Based on "three regions and sanjiao" theory of acupuncture and moxibustion, 7 "expelling-wind" points can be selected in terms of the etiology of this disease. Baihui (GV20)-toward-Taiyang (EX-HN5) needling is applied to regulate the brain marrow, focusing on the core location of illness; and regarding the key location of illness, the combination of back-shu and front-mu points and that of jing-well and xing-spring points are adopted to regulate five zang organs. The five needling techniques (half needling, leopard-spot needling, joint needling, Hegu needling and shu needling) are used to regulate five tissues.
Humans ; Acupuncture Therapy ; Spasm/diagnosis* ; Moxibustion ; Acupuncture Points ; Medicine, Chinese Traditional ; Diagnosis, Differential