Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

Based on LI Gao's Academic Thought， focusing on the process of qi transformation and taking the regulation and restoration of metabolism and immunity as the entry point， a "source-pivot-convergence" diagnostic and therapeutic model for malignant tumors is constructed. In this model， spleen and stomach internal injury is the source of malignant tumor occurrence， while the disorder of ascending and descending is the pivot of the disease development， and the generation of yin fire is the convergence of malignant tumor progression. Based on this， the three major therapeutic methods of clearing the source， harmonizing the pivot， and resolving the convergence are established. To fortify spleen and boost qi， consolidate the root and clear the source， modified Buzhong Yiqi Decoction（补中益气汤）can be used. To raise the clear and direct the turbid downward， regulate qi and harmonize the pivot， modified Shengyang Yiwei Decoction （升阳益胃汤） is suggested. To restore balance and promote circulation， disperse accumulation and resolve convergence， modified Shengyang Sanhuo Decoction （升阳散火汤） is selected. In clinical practice， these formulas can be used in combination according to the complexity of the pathogenesis， and further adapted with prescriptions for promoting dispersion and penetrating pathogenic factors， resolving phlegm and promoting circulation， activating blood and eliminating concretions， which can provide a reference for the prevention and treatment of tumor diseases.

ObjectiveTo evaluate the antitumor activity of Periplaneta americana extract（PAE） against human-derived lung adenocarcinoma organoids（LUAD-PDOs） and to elucidate its potential mechanism based on transcriptomics. MethodsFresh tumor and adjacent normal tissues from patients with LUAD were collected to construct LUAD-PDOs and normal lung organoid（Nor-PDOs） models using 3D organoid culture technology. The effective intervention concentration of PAE was determined using the cell counting kit-8（CCK-8） assay. Experimental groups included the model group（LUAD-PDOs）， normal group， model administration group（LUAD-PDOs+PAE）， and normal administration group（Nor-PDOs+PAE）. Hematoxylin-eosin（HE） staining was used to observe the pathological structures of PDOs， immunohistochemistry（IHC） was performed to detect the expressions of the proliferation marker Ki-67 and lung adenocarcinoma differentiation markers cytokeratin-7（CK-7） and Napsin A， TUNEL staining was applied to detect cell apoptosis. RNA sequencing（RNA-Seq） was conducted to identify differentially expressed genes（DEGs）， followed by Gene Ontology（GO）， Kyoto Encyclopedia of Genes and Genomes（KEGG）， and Gene Set Enrichment Analysis（GSEA）， alongside protein-protein interaction（PPI） network analysis to screen core mechanisms. Finally， key targets were validated by integrating external database analysis with immunofluorescence（IF）. ResultsNor-PDOs and LUAD-PDOs that highly recapitulated the pathological characteristics of the primary tissues were successfully established. The CCK-8 assay determined that the effective intervention concentration of PAE was 16 g·L^-1. Morphological observation showed that Nor-PDOs exhibited lumen-forming structures， whereas LUAD-PDOs displayed dense， solid structures. CCK-8 and TUNEL assays revealed that， compared with the model group， PAE intervention inhibited the proliferation of LUAD-PDOs and promoted apoptosis in LUAD cells， while showing no significant effect on the viability of Nor-PDOs. Transcriptomic analysis identified 719 DEGs that were significantly reversed after PAE intervention（347 up-regulated and 372 down-regulated）（P<0.05）. GO enrichment analysis indicated that DEGs in the model administration group were significantly enriched in biological processes related to cell cycle regulation compared to the model group. KEGG pathway analysis revealed that PAE affected pathways related to proliferation and metabolism， including pathways in cancer and the p53 signaling pathway. GSEA further confirmed that PAE significantly enhanced the activity of the p53 signaling pathway（P<0.05）. PPI network analysis indicated that breast cancer type 1 susceptibility protein（BRCA1） and checkpoint kinase 1（CHEK1） were the core down-regulated targets in the p53 pathway. IF verified the high expression of BRCA1 and CHEK1 in LUAD-PDOs and their significant downregulation after PAE intervention（P<0.05）. Furthermore， survival analysis based on The Cancer Genome Atlas（TCGA） database indicated that low expression of BRCA1 and CHEK1 was significantly associated with prolonged overall survival in patients with LUAD（P<0.05）. ConclusionPAE effectively inhibits proliferation of LUAD-PDOs and promotes their apoptosis， its anti-tumor mechanism is potentially associated with the activation of the p53 signaling pathway， with BRCA1 and CHEK1 genes likely serving as key downstream targets for the effects of PAE.

Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

Objective To collect and analyze outpatient prescription data for exogenous cough treatment from a hospital in Shenzhen,and to identify the characteristics and medication patterns of traditional Chinese medicine(TCM).Methods This study collected prescriptions from a hospital in Shenzhen for exogenous cough treatment in January 2024.R language for data mining were used to analyze the medication frequency,clustering patterns,and association rules in the treatment of exogenous cough by TCM and to explore the medication patterns and the usage of classic formulas in TCM for this condition.Results A total of 451 outpatient prescriptions for exogenous cough were include,the top ten most frequently used herbs were Licorice,Bitter almond,Bellflower,Ephedra,Tangerine peel,Stemonae radix,Tuckahoe,Pinellia ternata,Nepeta,Bulb of thunberg fritillary.Cluster analysis and association rules revealed that San'ao decoction,Kikyodon soup,and Zhisou powder were commonly prescribed,targeting lung function,dispersing wind,and resolving phlegm to effectively alleviate cough symptoms.Significant differences in medication usage were observed across different syndrome types.For the wind cold attacking lung pattern,the core herbs were warm in nature and focused on dispersing with acrid-warm properties.Conversely,the treatment of wind heat attacking the lung pattern typically involved cold-natured herbs,with a primary focus on clearing and draining lung heat.Stratification by age revealed that the pediatric group often used drugs with mild properties,such as Stemona and Shegan.The young adult group tended to be prescribed cold-natured drugs like Forsythia and Hogfonnel Root.The middle-aged and elderly group preferred warming and tonifying drugs such as Japanese Catnip and Perilla frutescens.Conclusion The TCM treatment of exogenous cough primarily focuses on releasing the exterior and dispersing the lung.Due to the region's subtropical monsoon climate and temperature fluctuations physicians flexibly modified classical formulas such as San'ao decoction and Zhisou powder according to individual constitutions and symptom patterns.This targeted,syndrome-based approach effectively disperses the lung qi,stops cough and transforms phlegm,and alleviates cough.

Objective To explore the feasibility and safety of non-anticoagulation veno-venous extracorporeal membrane oxygenation(VV-ECMO)in patients with severe chest trauma.Methods A retrospective cohort study method was used.A total of 19 patients with severe chest trauma who received VV-ECMO with a delayed anticoagulation strategy at Zhengzhou Central Hospital Affiliated to Zhengzhou University from January 2018 to October 2021 were included in the delayed anticoagulation group,and 20 patients with severe chest trauma who received VV-ECMO with a non-anticoagulation strategy from November 2021 to October 2024 were included in the non-anticoagulation group.The overall clinical characteristics of the patients were statistically analyzed,including gender,age,injury severity score(ISS),acute physiology and chronic health evaluationⅡ(APACHEⅡ),reason for VV-ECMO,use of vasoactive drugs,oxygenation index(PaO2/FiO2),and interval from injury to VV-ECMO.The primary outcomes were hemorrhagic and thrombotic complications.The secondary outcomes were blood transfusion during VV-ECMO,VV-ECMO time,mechanical ventilation time,intensive care unit(ICU)length of stay,and 28-day mortality.Results There was no significant difference in gender,age,ISS score,APACHEⅡscore,reason for VV-ECMO,use of vasoactive drugs,PaO2/FiO2,and interval from injury to VV-ECMO between the non-anticoagulation group and the delayed anticoagulation group.There was no significant difference in overall incidence of hemorrhagic and thrombotic between the two groups[incidence of hemorrhagic complications:15.0%(3/20)vs.31.6%(6/19),incidence of thrombotic:15.0%(3/20)vs.5.3%(1/19),both P>0.05].The infusion rate of 4 or more paked red blood cell(PRBC)within 24 hours during VV-ECMO in the non-anticoagulation group was significantly lower than that in the delayed anticoagulation group[5.0%(1/20)vs.31.6%(6/19),P<0.05].The amount of PRBC and platelet transfusion and the time on VV-ECMO in the non-anticoagulation group during VV-ECMO were significantly lower than those in the delayed anticoagulation group[PRBC(U):5.8±3.8 vs.8.1±3.1,platelets(U):1(0,1)vs.2(1,3),time on VV-ECMO(hours):71.55±24.37 vs.114.21±34.08,all P<0.05].There were no statistically significant differences in the amount of plasma and cryoprecipitate transfusion during VV-ECMO,mechanical ventilation time,ICU hospitalization time,and 28-day mortality between the two groups.Conclusion For patients with severe chest trauma receiving VV-ECMO withholding routine systemic anticoagulation did not result in thrombotic complications or higher mortality and required less PRBC and platelet transfusions.Non-anticoagulant VV-ECMO is safe and feasible for patients with severe chest trauma with high risk of bleeding.

Objective:To explore the application effect of three-stage and six-link mixed teaching model in the teaching of health assessment, in order to provide reference for the teaching reform in the field of medical and health vocational education.Methods:Experimental research methods was adopted. The class experimental research method was used to conduct cluster sampling by class unit. From February to May 2024, students from 6 classes of grade 2023 nursing major in Jiangsu Nursing Vocational College were selected as the research objects, and were divided into experimental group (3 classes, 152 students) and control group (3 classes, 153 students) according to random number table method. The students in the experimental group were taught according to the mixed teaching mode of three stages and six links, and the students in the control group were taught according to the conventional mixed teaching mode. The results of theoretical assessment, operational assessment and mixed teaching quality evaluation were compared between the two groups.Results:There were 142 female subjects and 10 male subjects in the experimental group, aged (18.59 ± 1.28) years old. The control group consisted of 144 female subjects and 9 male subjects, aged (18.65 ± 1.01) years. The theoretical scores and operational scores of the experimental group were 79.91 ± 8.84 and 86.89 ± 10.51, respectively, higher than those of the control group (76.82 ± 6.32) and (84.53 ± 6.30) points, and the differences were statistically significant ( t=3.51, 2.38, both P<0.05). The score of mixed teaching quality evaluation in experimental group was (3.89 ± 0.32) points, which was higher than that in control group (3.77 ± 0.28) points, and the difference was statistically significant ( t=3.40, P<0.05). Conclusions:The mixed teaching mode of three stages and six links is helpful for students to master professional knowledge, enhance practical ability and improve teaching quality.

Objective:To systematically evaluate the incidence of low back pain (LBP) and analyze its main influencing factors among automobile manufacturing workers in China.Methods:In March 2024, literatures related to LBP of workers in the automotive manufacturing industry were retrieved from China National Knowledge Infrastructure (CNKI) , VIP China Science and Technology Journal Database, Wanfang Database, PubMed, and Web of Science Database. The search time range was from the establishment of the database to March 2024, and the literature was screened according to the inclusion and exclusion criteria. After evaluating the quality of the article using the quality evaluation criteria recommended by the Agency for Healthcare Research and Quality in the United States, Stata 17.0 software was used for analysis. Random effects models or fixed effects models were selected based on the degree of heterogeneity to calculate the combined effect size, and subgroup analysis and analysis of influencing factors of LBP were conducted.Results:A total of 16 articles were included, with a total sample size of 22245 people. The literature quality score ranged from 6 to 8 points. The results of the Meta-analysis showed that the incidence of LBP among automobile manufacturing workers in China was 32% (95% CI: 22%, 42%) . The results of subgroup analysis showed that the incidence of LBP among automotive manufacturing workers aged ≥30 years was 39% (95% CI: 22%, 57%) , which was higher than that among automotive manufacturing workers aged <30 years (24%, 95% CI: 17%, 32%) . The incidence of LBP among automotive manufacturing workers with a length of service of ≥5 years was 40% (95% CI: 23%, 56%) , which was higher than that among automotive manufacturing workers with a length of service of <5 years (24%, 95% CI: 16%, 33%) . The incidence of LBP reported from 2011 to 2017 (39%, 95% CI: 18%, 60%) was higher than that from 2018 to 2023 (28%, 95% CI: 20%, 36%) . Working in an uncomfortable posture ( OR=3.72, 95% CI: 2.05, 6.77) , standing for a long time while working ( OR=1.97, 95% CI: 1.61, 2.42) , carrying heavy objects ( OR=1.93, 95% CI: 1.63, 2.30) , bending over while working ( OR=1.86, 95% CI: 1.60, 2.17) and frequent overtime work ( OR=2.38, 95% CI: 1.44, 3.92) were both risk factors for LBP among workers in the automotive manufacturing industry ( P<0.05) , while sufficient rest time ( OR=0.55, 95% CI: 0.48, 0.63) was a protective factor ( P<0.05) . Conclusion:The incidence of LBP among workers in China's automotive manufacturing industry is relatively high. Working in an uncomfortable posture, standing for a long time, carrying heavy objects, bending over for work, frequent overtime work and sufficient rest time are the influencing factors of LBP among workers in the automotive manufacturing industry. Preventive measures should be actively taken in response to the above influencing factors to effectively reduce the incidence of LBP among workers in China's automotive manufacturing industry.

Deep medullary veins(DMVs)are critical components of the cerebral medullary venous system,responsible for venous drainage of the deep cerebral white matter.Recent research indicates that DMVs are closely related to cerebral small vessel disease(CSVD)and associated cognitive disorders.The morphological structure of DMVs can be clearly visualized on susceptibility weighted imaging and quantitative susceptibility mapping,which could potentially serve as markers for assessing the severity of CSVD.This article reviewed the anatomical characteristics and physiological functions of DMVs,as well as the mechanistic correlations between DMVs and various CSVD imaging markers,aiming to provide novel theoretical insights for early diagnosis and clinical management of CSVD.