Irritable bowel syndrome （IBS） is a functional bowel disorder characterized primarily by abdominal pain and altered defecation habits. In recent years， traditional Chinese medicine （TCM） has made progress in multiple aspects of IBS research and treatment， including syndrome distribution， development of TCM formulas， clinical efficacy evaluation， external therapies， and psychosocial regulation. However， it still faces challenges such as over-reliance on symptomatic manifestations rather than biomarkers for diagnostic criteria， and the lack of high-quality evidence-based data supporting the efficacy of TCM formulas in treating IBS. This paper proposed that TCM diagnosis and treatment of IBS should adhere to the strategy of integrating the holistic concept with syndrome differentiation and treatment， combining TCM external therapies such as acupuncture， moxibustion and acupoint application）， and emphasizing individualized diagnosis and treatment for psychosomatic abnormalities. Future research should integrate multi-omics technologies， artificial intelligence and other methods to deepen the understanding of the pathogenesis of IBS and the mechanisms of TCM formulas， so as to promote the standardization and internationalization of TCM in the diagnosis and treatment of IBS.

OBJECTIVE To analyze the deep-seated impeding factors in the implementation process of the policy integrating retail pharmacies into the outpatient pooling system， and explore practical paths to improve policy implementation efficiency. METHODS Based on Smith’s policy implementation process model， an analytical framework was constructed. Selecting Hunan province as a typical sample， this study combined policy text analysis and semi-structured interviews to conduct an in-depth interpretation of relevant policy documents and interviewed a total of 42 key stakeholders from multiple parties， including medical insurance administrative departments， designated medical institutions， retail pharmacies， and insured persons， and the interview texts were analyzed. RESULTS & CONCLUSIONS The study indicated that the effective implementation of this policy faces four dimensions of impediments： first， the policy itself suffered from systemic design problems and insufficient coordination， leading to source-based constraints； second， there was a lack of effective synergy mechanisms among implementing agencies， resulting in fragmented service and supervision capabilities， and their behaviors were distorted by interest-driven motives； third， there were cognitive biases regarding the policy among the target group， and their behaviors were distorted by interest-driven motives； fourth， environmental factors such as pressure on medical insurance funds and traditional medical-seeking concepts overlapped to restrict the space for policy implementation. Therefore， the following optimization strategies are proposed： strengthening top-level design to eliminate rule ambiguity and implementation deviation； improving multi-party synergy mechanisms to enhance policy operational efficiency； deepening policy interpretation and interest coordination to guide rational behavior among the target group； and breaking environmental barriers to build an external ecosystem adaptable to policy development， thereby promoting the high quality development of incorporating retail pharmacies into the outpatient pooling system.

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 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.

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 observe the clinical efficacy of Shengdi Xiexin Decoction combined with proton pump inhibitors(PPIs)in the treatment of acute non-variceal upper gastrointestinal bleeding(ANVUGIB)with stomach-heat congestion syndrome.Methods Sixty-two patients with ANVUGIB of stomach-heat congestion syndrome admitted to Dongguan Hospital of Guangzhou University of Chinese Medicine between January and December 2024 were randomly divided into a treatment group(n=31)and a control group(n=31)using a random number table.The control group received conventional western therapy(e.g.,Omeprazole Sodium),while the treatment group additionally received Shengdi Xiexin Decoction.Both groups were treated for 7 days,followed by 8 weeks of follow-up.The changes in traditional Chinese medicine(TCM)syndrome scores,hematological parameters[hemoglobin(Hb),red blood cells(RBC),hematocrit(Hct),albumin(ALB)],tissue perfusion and metabolic markers[blood urea nitrogen/creatinine ratio(BUN/Cr),lactate(Lac)levels],hemostasis time,time to resume oral diet,hospital stay duration,hospitalization costs,and rebleeding rates were observed to evaluate the clinical efficacy and drug safety.Results(1)After 7 days of treatment,the total effective rate was significantly higher in the treatment group(90.32％,28/31)than that in the control group(74.19％,23/31).The intergroup comparison(by chi-square test)showed that the treatment group,efficacy was superior to that of the control group(P＜0.05).(2)The treatment group showed significantly short hemostasis time,time to resume oral diet,and hospital stay duration(P＜0.05),as well as significantly low hospitalization costs(P＜0.05)compared to the control group.(3)Both groups exhibited significant reductions in the scores of epigastric burning pain,abdominal distension,acid regurgitation,restlessness,excessive thirst,scanty dark uring and dry stools,and total TCM syndrome scores(P＜0.05).The treatment group demonstrated significantly greater improvements in the scores of abdominal distension,acid regurgitation,restlessness,dark uring and dry stools,and total TCM syndrome scores(P＜0.05),while no significant differences were observed in epigastric burning pain and excessive thirst(P＞0.05).(4)Hb and Hct levels increased significantly in both groups(P＜0.05),with a greater increase in the treatment group(P＜0.05).Although RBC and ALB levels showed an upward trend,no significant differences were observed between groups(P＞0.05).Following treatment,intergroup comparisons revealed that the treatment group demonstrated significantly greater increases in Hb and Hct levels than the control group(P＜0.05).In contrast,the two groups showed comparable effects in elevating RBC and ALB levels,with no statistically significant differences(P＞0.05).(5)BUN/Cr ratio and Lac levels decreased significantly in both groups(P＜0.05),with a more pronounced reduction in the treatment group(P＜0.05).(6)No significant differences were found in early or delayed rebleeding rates between groups(P＞0.05).(7)Neither group experienced significant adverse events.Conclusion Shengdi Xiexin Decoction combined with PPIs significantly improves clinical outcomes in ANVUGIB patients with stomach-heat congestion syndrome.It is effective on enhancing hematological parameters,correcting tissue hypoperfusion,alleviating symptoms,shortening hemostasis time and hospitalization durations,and reducing medical costs,demonstrating excellent safety.

Lynch syndrome (LS) is a hereditary cancer predisposition syndrome, caused by germline pathogenic variants in the DNA mismatch repair (MMR) system. Beyond colorectal and endometrial cancers, the spectrum of tumor associated with LS has expanded to the urological system. Upper urinary tract urothelial carcinoma (UTUC) represents the most frequent LS-associated urological cancer and is typically characterized by microsatellite instability-high/mismatch repair-deficient(MSI-H/dMMR) status and high tumor mutational burden (TMB), showing a high sensitivity to immunotherapy. Bladder and prostate cancers also show increased incidence among specific LS genotypes. In recent years, the integration of multi-omics analyses, liquid biopsy, artificial intelligence, and disease risk prediction models has advanced understanding of LS-associated urological tumors in terms of molecular mechanisms, early detection, and precision therapy. Immune checkpoint inhibitors demonstrate remarkable efficacy, particularly in dMMR/MSI-H UTUC. Future efforts should focus on establishing systematic screening strategies, optimizing individualized treatment, and conducting multicenter prospective studies to improve early diagnosis and clinical outcomes in high-risk populations. This review summarizes recent research progress on urological tumors associated with LS to enhance clinical understanding of the disease.

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.