To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

ObjectiveTo investigate the clinical and pathological features of intrahepatic intraductal papillary neoplasm of the bile duct （IPNB）， and to improve the understanding， diagnosis， and treatment of this disease. MethodsA retrospective analysis was performed for four patients who underwent surgical resection in Beijing Chaoyang Hospital， Capital Medical University， from January 2010 to December 2025 and were diagnosed with intrahepatic IPNB based on pathological examination. The clinical， imaging， and pathological features of these patients were summarized， and a literature review was performed for related articles in China and globally. ResultsAmong the four patients， there were three female patients and one male patient， with a median age of 65 years， and clinical manifestations included jaundice， abdominal pain or diarrhea， and asymptomatic findings on physical examination. The main imaging manifestation was bile duct dilatation or solid-cystic space-occupying lesion. Pathological typing revealed one case each of the gastric， intestinal， pancreatobiliary， and oncocytic types， and there was one patient with low-grade intraepithelial neoplasia and three patients with high-grade intraepithelial neoplasia， among whom one patient also had invasive carcinoma. ConclusionIntrahepatic IPNB is a rare precancerous lesion of the liver with diverse clinical， imaging， and pathological manifestations， and radical surgical resection remains the cornerstone of treatment.

Objective:To investigate the feasibility of deep learning based on computed tomography(CT)radiomics in improving diagnostic accuracy for pulmonary nodules.Methods:A total of 500 patients with pulmonary nodules who admitted to our hospital from January 2023 to January 2024 were selected as study subjects,and they were randomly divided into a training set(350 patients)and a test set(150 patients)as 7:3 ratio.All patients underwent CT examination,and pathological diagnosis was used as gold standard to record pulmonary nodules that were judged by clinical judgment.The radiomics features were screened from the CT images of the patients,and these features were used to construct multiple machine learning models.The predictive value of different models in diagnosing pulmonary nodules was analyzed through confusion matrices and receiver operating characteristic(ROC)curve.Results:A total of 1,594 radiomics features,including 1,195 texture features(74.97%)that was the largest ratio,334 first-order histograms(20.95%),and 65 second-order histograms(4.08%),were extracted in this study.After least absolute shrinkage and selection operator(LASSO)regression analysis and ten-fold cross-validation processing,a total of six radiomics features were screened out.The screened radiomics features were incorporated respectively into four assembled models with machine learning,including ResNet50,DenseNet121,Inception_V3 and VGG19.The constructed models were evaluated respectively using the training set and the test set.The results showed that the assembled model had the highest accuracies in both training set and the test set(96.57%and 95.33%),which area under curve(AUC)values were 0.934 and 0.923,and specificities were 81.64%and 80.52%,and sensitivities were 90.25%and 88.71%,respectively.The results of consistency test indicated that the assembled model had the best classification consistency(Kappa=0.856,P<0.001)in the constructed diagnostic model for pulmonary nodule,which was the best-performing model.Conclusion:The deep learning technique based on CT radiomics has a certain feasibility in improving the diagnostic accuracy for pulmonary nodules,and the machine learning model that is included in this study has favorable predictive value in diagnosing pulmonary nodules.In them,the assembled model that is constructed on the basis of ResNet50,DenseNet121,Inception_V3,and VGG19 has better classification ability.

ObjectiveTo investigate the mechanism of topical treatment of allergic contact dermatitis （ACD） mice with Portulacae Herba based on the nuclear factor E₂-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1）/nuclear factor-κB （NF-κB） signaling pathway. MethodsA total of 70 6-week-old specific pathogen free （SPF） female Kunming mice were adaptively fed for 1 week and randomly divided into blank group， model group， compound dexamethasone acetate cream group （2.075×10^-2 g·g^-1）， blank matrix cream group， low-dose Portulacae Herba cream group （0.1 g·g^-1）， high-dose Portulacae Herba cream group （0.2 g·g^-1）， and Portulacae Herba + inhibitor group （0.2 g·g^-1 + 30 mg·kg^-1 ML385）， with 10 mice in each group. One day before the experiment， the mice were shaved on the neck and back. Except for the blank group， the mice in the other groups were treated with 2，4-dinitrochlorobenzene （DNCB） to establish an ACD model. After respective administration， the skin lesion of the mice was scored， and the histopathological changes of the skin were stained with hematoxylin-eosin （HE）. Enzyme-linked immunosorbent assay （ELISA） was used to detect the levels of interleukin-6 （IL-6）， interleukin-1β （IL-1β）， reactive oxygen species （ROS）， superoxide dismutase （SOD） activity， and malondialdehyde （MDA） in serum of mice. The expression of Nrf2/HO-1/NF-κB signaling pathway-related proteins in mouse skin tissue was detected by immunohistochemistry （IHC）， Western blot， and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. ResultsCompared with the blank group， the mice in the model group had an increased skin lesion score （P<0.01）， severe pathological damage to skin tissue， increased content of IL-1β， IL-6， ROS， and MDA in their serum （P<0.01）， and decreased content of SOD （P<0.01）. In addition， the mRNA and protein expression levels of Nrf2， HO-1， and nuclear factor-κB inhibitor α （IκBα） in skin tissue were up-regulated （P<0.01）， while the protein expression levels of phosphorylated （p）-IκBα and p-NF-κB p65 and the mRNA expression of NF-κB p65 were down-regulated （P<0.01）. Compared with the model group and the blank matrix cream group， the mice treated with Portulacae Herba had a decreased skin lesion score （P<0.01）， reduced pathological damage to skin tissue， decreased content of IL-1β， IL-6， ROS， and MDA in their serum （P<0.01）， and increased content of SOD （P<0.01）. Additionally， the mRNA and protein expression levels of Nrf2， HO-1， and IκBα in skin tissue were down-regulated （P<0.05，P<0.01）， and the protein expression levels of p-IκBα and p-NF-κB p65 and the mRNA expression of NF-κB p65 were up-regulated （P<0.05，P<0.01）. Compared with the Portulacae Herba + inhibitor group， the high-dose Portulacae Herba cream group had a decreased skin lesion score （P<0.01）， alleviated pathological damage to skin tissue， decreased content of IL-1β， IL-6， ROS， and MDA in the serum of mice （P<0.05，P<0.01）， and increased content of SOD （P<0.01）. The protein expression levels of Nrf2， HO-1， and IκBα and the mRNA expression of Nrf2 and HO-1 in skin tissue were up-regulated （P<0.05，P<0.01）， and the protein expression levels of p-IκBα and p-NF-κB p65 and the mRNA expression of NF-κB p65 were down-regulated （P<0.05）. ConclusionPortulacae Herba can improve DNCB-induced ACD skin damage in mice by regulating the Nrf2/HO-1/NF-κB signaling pathway.

Objective:To investigate the treatment and management of patients with endemic fluorosis (referred to as fluorosis) in Ankang City, Shaanxi Province, and to provide a scientific basis for adjusting and optimizing treatment and management strategies for fluorosis patients.Methods:A retrospective analysis was conducted on patient information collected from county-level disease prevention and control centers in Ankang City from 2019 to 2023. Data included demographic information, clinical treatment, chronic disease management, treatment records, work reports, and summaries. The study aimed to learn about the treatment willingness, methods, and effects of patients with fluorosis, and to evaluate the disease management situation of patients with fluorosis.Results:From 2019 to 2023, the proportion of fluorosis patients who were willing to receive treatment in Ankang City had increased from 76.80% (1 089/1 418) in 2019 to 100% (1 408/1 408) in 2023, showing an upward trend year by year (χ 2trend = 971.15, P < 0.001). A total of 6 876 patients received treatment, with a treatment rate of 100%. The majority of patients received drug treatment (99.64%, 6 851/6 876), with an effective rate of 94.90% (6 525/6 876). The effective rate of treatment for patients with fluorosis had increased from 88.71% (966/1 418) in 2019 to 94.67% (1 333/1 408) in 2023, showing an upward trend (χ 2trend = 1 002.92, P < 0.001). The adverse reaction rate of drug treatment was 0.36% (25/6 876). The combination of oral medication and local treatment had the highest effective rate (97.62%, 3 566/3 653). The management rate and contracted service rate of fluorosis patients were 100% each year, and the standardized management rate was above 99%. Conclusions:Fluorosis patients in Ankang City have a high willingness to receive treatment, with good treatment outcomes. The contracted services and management of patients are well implemented. In the future, continuous efforts should be made to improve the prevention, management, and health education of fluorosis patients.

Objective:To conduct a study on pricing by service unit to address the problems of hospice and palliative care pricing and fee system in China.Methods:Combining theoretical research and empirical evidence,this study organized the pricing mechanism of initiative hospice and palliative care services and established a graded and categorized pricing strategy.Empirical research was conducted based on real-world data from 36 pilot institutions in typical areas.Results:This study developed a comprehensive pricing framework for value-based classification price standard of initiative hospice and palliative care services from the perspective of incentive regulation.We proposed a pricing plan based on service units,with inpatient bed fee ranging from 459 to 606 yuan or 459 to 1 102 yuan,and home visit fee ranging from 89 to 264 yuan.Conclusions and suggestions:This study proposes a pricing scheme based on the technique and service value with a gradient fluctuation by service unit,and forms a set of price standards with high economic and technical feasibility,which can provide scientific evidences for solving the pricing problem of hospice care.In addition,there is still a need to establish a multi-level incentive compensation mechanism to motivate all levels and types of organisations and healthcare provider,and to promote the high-quality and sustainable development of hospice and palliative care.

Objective:To investigate the treatment and management of patients with endemic fluorosis (referred to as fluorosis) in Ankang City, Shaanxi Province, and to provide a scientific basis for adjusting and optimizing treatment and management strategies for fluorosis patients.Methods:A retrospective analysis was conducted on patient information collected from county-level disease prevention and control centers in Ankang City from 2019 to 2023. Data included demographic information, clinical treatment, chronic disease management, treatment records, work reports, and summaries. The study aimed to learn about the treatment willingness, methods, and effects of patients with fluorosis, and to evaluate the disease management situation of patients with fluorosis.Results:From 2019 to 2023, the proportion of fluorosis patients who were willing to receive treatment in Ankang City had increased from 76.80% (1 089/1 418) in 2019 to 100% (1 408/1 408) in 2023, showing an upward trend year by year (χ 2trend = 971.15, P < 0.001). A total of 6 876 patients received treatment, with a treatment rate of 100%. The majority of patients received drug treatment (99.64%, 6 851/6 876), with an effective rate of 94.90% (6 525/6 876). The effective rate of treatment for patients with fluorosis had increased from 88.71% (966/1 418) in 2019 to 94.67% (1 333/1 408) in 2023, showing an upward trend (χ 2trend = 1 002.92, P < 0.001). The adverse reaction rate of drug treatment was 0.36% (25/6 876). The combination of oral medication and local treatment had the highest effective rate (97.62%, 3 566/3 653). The management rate and contracted service rate of fluorosis patients were 100% each year, and the standardized management rate was above 99%. Conclusions:Fluorosis patients in Ankang City have a high willingness to receive treatment, with good treatment outcomes. The contracted services and management of patients are well implemented. In the future, continuous efforts should be made to improve the prevention, management, and health education of fluorosis patients.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:Based on the background of high-quality development,we analyze the operational efficiency of traditional Chinese medicine(TCM)hospitals in China's Yangtze River Economic Belt in 2021 and explore the impact of external environmental factors on operational efficiency,so as to provide a reference for promoting the high-quality development of TCM hospitals in the Yangtze River Economic Belt.Methods:The three-stage DEA model was used to analyze the operational efficiency of TCM hospitals in 11 provinces and cities in the Yangtze River Economic Zone in China in 2021.Results:After three-stage DEA analysis,the values of comprehensive efficiency,pure technical efficiency and scale efficiency of TCM hospitals in China's Yangtze River Economic Belt are 0.976,0.986 and 0.990,respectively.5 provinces and cities,Shanghai,Jiangsu,Hunan,Chongqing and Guizhou,are efficient before and after the adjustment,and the comprehensive efficiency of Zhejiang,Anhui,Hubei,Jiangxi,Sichuan and Yunnan have increased compared with that before the adjustment.Ranking of the average value of the comprehensive efficiency of TCM hospitals operation in the three major city clusters of the Yangtze River Economic Belt after adjustment:Chengdu-Chongqing city cluster(0.998)>city cluster in the Yangtze River Delta(0.964)>city cluster in the middle reaches of the Yangtze River(0.962).Conclusion:The operational efficiency of TCM hospitals in the Yangtze River Economic Zone has been underestimated,and the comprehensive efficiency is mainly affected by scale efficiency;there are differences in the operational efficiency of TCM hospitals in the three major urban agglomerations,and balanced development is needed between regions;the operational efficiency of TCM hospitals is affected by the external environment,and it is necessary to improve the external environment;it is necessary to strengthen the construction of digital and informatization of TCM,and to pay attention to the role of talents in TCM,so as to promote the high-quality development of TCM hospitals.

Objective To translate self-care in spinal cord injuries inventory(SC-SCII)into Chinese and evaluate its reliability and validity,therefore to provide medical staff with a tool for evaluation of self-care behaviour of patients.Methods Brislin translation model was adopted for forward translation,back-translation,cultural adaptation and pilot testing in the development of Chinese version of SC-SCII.Convenience sampling was used to recruit 207 patients with spinal cord injury(SCI)from three Tier-IIIA hospitals in Xi'an between January 2024 and March 2025 for the purpose of assessing the reliability and validity of the translated inventory.Results A total of 202 patients completed the study.The finalised Chinese version of SC-SCII encompassed 4 dimensions with a total of 35 items,with the same structure as the original SC-SCII.Scale-level content validity index was 0.948,and the item-level content validity indices ranged from 0.912 to 1.000.Four common factors were extracted by exploratory factor analysis:self-care maintenance(12 items),self-care monitoring(8 items),self-care management(8 items)and self-care self-efficacy(7 items),cumulatively accounting for 61.402%of the total variance.The overall Cronbach's α coefficient was 0.820 and the Cronbach's α coefficients of the four dimensions were 0.935,0.905,0.921 and 0.892,respectively.The split-half reliability was 0.798,and the two-week retest reliability was 0.875.No statistically significant difference was observed between the original and sinicised scales(paired t-test,P>0.05),indicating a high cross-time stability of the sinicised scale.Conclusion The Chinese version of SC-SCII demonstrates a good reliability and validity,making it a suitable tool in evaluation of self-care abilities in SCI patients.