ObjectiveTo investigate the potential mechanism of action of the Qufeng Tongqiao Cough-relieving Decoction （祛风通窍止咳方， QTCD） in the treatment of upper airway cough syndrome （UACS）. MethodsTwenty-four guinea pigs were randomly divided into blank group， model group， traditional Chinese medicine （TCM） group， and inhibitor group， with six guinea pigs in each group. Except for the blank group， guinea pigs were sensitized with ovalbumin and aluminum hydroxide via intraperitoneal injection， followed by ovalbumin nasal drops combined with smoke exposure to establish the UACS model. After modeling， the TCM group was administered QTCD 0.9 g/（100 g·d） by gavage， the inhibitor group received the transient receptor potential vanilloid receptor 4 （TRPV4） inhibitor GSK2193874 1 mmol/L， 5 min by nebulisation， and the blank group and model group were given 2 ml/（100 g·d） normal saline by gavage once daily. After 7 days of treatment， a cough provocation test was performed using 0.4 mol/L citric acid. The levels of IgE in serum and inflammatory cytokines， including interleukin-6 （IL-6）， interleukin-8 （IL-8） in serum， bronchoalveolar lavage fluid （BALF）， and nasal lavage fluid （NLF） were detected by enzyme-linked immunosorbent assay （ELISA）. Histopathological changes in lung and nasal mucosal tissues were observed by hematoxylin-eosin （HE） staining. Immunohistochemistry was used to detect the protein levels of TRPV4， substance P （SP）， and calcitonin gene-related peptide （CGRP） in lung and nasal mucosal tissues. Real-time polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of TRPV4， SP， and CGRP in lung tissues. ResultsHE staining showed significant structural damage and infiltration of inflammatory cells in the lung and nasal mucosal tissues in the model group， while the TCM group and inhibitor group showed improved pathological changes. Compared with the blank group， the model group showed increased cough frequency， serum IgE level， and IL-6 and IL-8 levels in serum， BALF， and NLF. The protein levels of TRPV4， SP， and CGRP in lung and nasal mucosal tissues and their mRNA expression were elevated （P＜0.05 or P＜0.01）. Compared with the model group， the TCM group and inhibitor group showed reduced cough frequency， serum IgE level， and TRPV4 and SP mRNA expression in lung tissues. The TCM group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， and reduced TRPV4 and CGRP protein levels in lung and nasal mucosal tissues. The inhibitor group showed reduced IL-6 and IL-8 levels in serum， BALF， and NLF， reduced IL-6 in BALF， reduced IL-8 in NLF， and decreased TRPV4， SP， and CGRP protein levels in lung tissues and SP and CGRP protein levels in nasal mucosal tissues （P＜0.05 or P＜0.01）. Compared with the TCM group， the inhibitor group had increased serum IgE， IL-6， and IL-8 levels， increased IL-6 level in BALF， and increased IL-8 levle in NLF， but decreased SP protein level in lung tissues and increased TRPV4 and SP mRNA expression in lung tissues （P＜0.01）. ConclusionQTCD effectively reduces cough frequency in the UACS guinea pig model. Its mechanism may involve inhibiting the activation of the TRPV4 pathway， improving airway neurogenic inflammation， alleviating inflammatory responses， and reducing cough hypersensitivity.

The Expert Consensus on Clinical Application of Qinbaohong Zhike Oral Liquid in Treatment of Acute Bronchitis and Acute Attack of Chronic Bronchitis （GS/CACM 337-2023） was released by the China Association of Chinese Medicine on December 13^th， 2023. This expert consensus was developed by experts in methodology， pharmacy， and Chinese medicine in strict accordance with the development requirements of the China Association of Chinese Medicine （CACM） and based on the latest medical evidence and the clinical medication experience of well-known experts in the fields of respiratory medicine （pulmonary diseases） and pediatrics. This expert consensus defines the application of Qinbaohong Zhike oral liquid in the treatment of cough and excessive sputum caused by phlegm-heat obstructing lung， acute bronchitis， and acute attack of chronic bronchitis from the aspects of applicable populations， efficacy evaluation， usage， dosage， drug combination， and safety. It is expected to guide the rational drug use in medical and health institutions， give full play to the unique value of Qinbaohong Zhike oral liquid， and vigorously promote the inheritance and innovation of Chinese patent medicines.

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.

Objective·To explore the influencing factors of oral nutritional supplement compliance in postoperative patients with digestive tract cancer based on COM-B model,and to analyze the mediating role of medication belief and self-efficacy in oral nutritional supplement.Methods·A total of 300 postoperative gastrointestinal cancer patients were selected by convenience sampling method.The General Information Questionnaire,Morisky Medication Adherence Scale,Digestive Cancer Patients Nutrition Knowledge,Attitude and Practice Questionnaire,Multidimensional Scale of Perceived Social Support,Beliefs about Medicines Questionnaire and General Self-Efficacy Scale were used.A mediating effect model was used to analyze the influencing factors of compliance with oral nutritional supplements.Results·The score of Morisky Medication Adherence scale was 1.61±1.38,which was at a low level.Oral nutritional supplement compliance was significantly positively correlated with nutrition knowledge,social support,medication belief and self-efficacy(r=0.391,0.401,0.438,0.410,all P＜0.01).Medication belief had a partial mediating effect between nutrition knowledge and adherence to oral nutritional supplements(effect size=0.097,accounting for 18.00%of the total effect).Self-efficacy had a partial mediating effect between nutrition knowledge and oral nutritional supplement compliance(effect size=0.044,accounting for 8.16%of the total effect).Self-efficacy had a partial mediating effect between social support and oral nutritional supplement compliance(effect size=0.044,accounting for 16.67%of the total effect).Conclusion·The compliance of oral nutritional supplements in postoperative patients with gastrointestinal cancer is at a low level.The individualized nursing intervention can increase the nutritional knowledge of patients,improve the social support,reduce the concerns of patients about oral nutrition,and improve the self-efficacy of patients,so as to promote the compliance of patients with oral nutritional supplements.

Objective To observe the clinical effect of traditional Chinese medicine bone-setting technique using spinal,pelvi-lower extremity line to treat patients with knee osteoarthritis(KOA).Methods 426 patients with KOA were all from the First Affiliated Hospital of Hebei University of Traditional Chinese Medicine.They were randomly divided into experimental group(384 cases,57 cases of elimination,shedding and termination)by computer generated sequence.Traditional Chinese bone setting techniques were applied with spinal-pelvic-lower limb force line(divided into three parts:lumbar fixed point reduction method,hip joint push-pull and extension method and knee peripheral tendon recovery method every 3 days.2 weeks)treatment;The control group was the waiting treatment group(48 cases,6 cases were eliminated,abscission,termination),which was only used for clinical observation for 2 weeks.The main outcome index was WOMAC pain score.Secondary outcome measures were WOMAC stiffness score,functional score,standardized score and quality of life score(SF-12).The test time points were baseline,2 weeks after enrollment,and follow-up(14 weeks after enrollment).The control group was at baseline and 2 weeks after enrollment.Results Compared with baseline,WOMAC pain score,stiffness score,functional score and standardized score were all decreased in 2 groups 2 weeks after enrollment(P<0.05),but the experimental group was significantly decreased compared with the control group(P<0.001).SF-12 quality of life scores were all higher than before(P<0.001),but the experimental group was significantly higher than the control group(P<0.001).At follow-up,compared with 2 weeks after enrollment,WOMAC pain scores were increased(P<0.001),WOMAC stiffness,joint function and standardized scores were decreased(P<0.001),and SF-12 scores were increased(P<0.001).Conclusion The use of spinal-pelvi-lower extremity line of traditional Chinese medicine bone-setting technique in the treatment of KOA is effective in improving the knee joint function and improving the quality of life of patients,but the short-term effect of pain relief is good,and the long-term effect is not good.Its safety is good,and it can be considered in clinical application for KOA patients with joint dysfunction as the main manifestation.

Objective:To systematically sort out the development trajectory of the research field of health industry,discuss the research hotspots and frontier topics in depth,and reveal the topics that should be focused on in the future research of the domestic health industry.Methods:Using CiteSpace Bibliometric Visualization Software,1 488 core journal articles in the field of health industry from 1994 to 2023 in CNKI Database were used as research samples to systematically analyze the development trend,research themes,hot issues and cutting-edge research of the health industry.Results:The number of papers published from 1994 to 2023 showed a steady growth trend on the whole.The author-institution partnership was relatively independent and loose,and there was no obvious network of collaboration.Meanwhile,the research hotspots in this field at the current stage mainly focused on the integrated development of"health industry+",health care industry,smart elderly care,health service industry chain,elderly care service system,and the background of healthy China.Conclusion:With the change of residents'cognition and demand for health,the focus of research has begun to transform from the traditional medical treatment model to the new business model of health industry of"managing health,preventing diseases,and focusing on residents'health".Based on the in-depth analysis of the existing research sample literature of the health industry,in order to effectively promote the high-quality and sustainable development of the health industry,the research field should focus on the business model of the health industry in the era of digital economy in the future,formulation and management of industry standards for the health industry,and empirical research at the micro level in the field of health industry research.

Objective:To systematically sort out the development trajectory of the research field of health industry,discuss the research hotspots and frontier topics in depth,and reveal the topics that should be focused on in the future research of the domestic health industry.Methods:Using CiteSpace Bibliometric Visualization Software,1 488 core journal articles in the field of health industry from 1994 to 2023 in CNKI Database were used as research samples to systematically analyze the development trend,research themes,hot issues and cutting-edge research of the health industry.Results:The number of papers published from 1994 to 2023 showed a steady growth trend on the whole.The author-institution partnership was relatively independent and loose,and there was no obvious network of collaboration.Meanwhile,the research hotspots in this field at the current stage mainly focused on the integrated development of"health industry+",health care industry,smart elderly care,health service industry chain,elderly care service system,and the background of healthy China.Conclusion:With the change of residents'cognition and demand for health,the focus of research has begun to transform from the traditional medical treatment model to the new business model of health industry of"managing health,preventing diseases,and focusing on residents'health".Based on the in-depth analysis of the existing research sample literature of the health industry,in order to effectively promote the high-quality and sustainable development of the health industry,the research field should focus on the business model of the health industry in the era of digital economy in the future,formulation and management of industry standards for the health industry,and empirical research at the micro level in the field of health industry research.

Based on the"You Gu Wu Yun"theory in traditional Chinese medicine(TCM),this paper believes that"Gu"in"You Gu Wu Yun"is extended to"state"from the perspective of"TCM state".In order to avoid the adverse reactions of TCM,the macro,meso,and micro three views should be used together,and macro,meso,and micro parameters should be integrated.We should also carefully identify the physiological characteristics,pathological characteristics,constitution,syndrome,and disease of human body by combining qualitative and quantitative method,highlighting the relationship between the prescription and the"state".The correspondence between prescription and the"state"will reduce the risk of adverse reactions of TCM.In this paper,we hope to focus on the guiding role of the"You Gu Wu Yun"theory in TCM research,to give full play to the characteristics and advantages of TCM,and to dialectically treat the role of TCM.

Objective:To systematically sort out the development trajectory of the research field of health industry,discuss the research hotspots and frontier topics in depth,and reveal the topics that should be focused on in the future research of the domestic health industry.Methods:Using CiteSpace Bibliometric Visualization Software,1 488 core journal articles in the field of health industry from 1994 to 2023 in CNKI Database were used as research samples to systematically analyze the development trend,research themes,hot issues and cutting-edge research of the health industry.Results:The number of papers published from 1994 to 2023 showed a steady growth trend on the whole.The author-institution partnership was relatively independent and loose,and there was no obvious network of collaboration.Meanwhile,the research hotspots in this field at the current stage mainly focused on the integrated development of"health industry+",health care industry,smart elderly care,health service industry chain,elderly care service system,and the background of healthy China.Conclusion:With the change of residents'cognition and demand for health,the focus of research has begun to transform from the traditional medical treatment model to the new business model of health industry of"managing health,preventing diseases,and focusing on residents'health".Based on the in-depth analysis of the existing research sample literature of the health industry,in order to effectively promote the high-quality and sustainable development of the health industry,the research field should focus on the business model of the health industry in the era of digital economy in the future,formulation and management of industry standards for the health industry,and empirical research at the micro level in the field of health industry research.