ObjectiveTo investigate the awareness and clinical practice of guidelines for the prevention and treatment of chronic hepatitis B （2022 edition） among clinicians. MethodsFrom July 19 to December 31， 2024， a self-designed electronic questionnaire was distributed via the WeChat mini program to collect related data from 1 588 clinicians nationwide， including their awareness and practice based on 18 questions regarding testing and referral， diagnosis and treatment， and follow-up. ResultsAmong all respondents， only 350 clinicians correctly understood all the updated key points of antiviral indications and treatment for special populations in the 2022 edition of guidelines for the prevention and treatment of chronic hepatitis B， with an overall awareness rate of 22.0%. Only 20% ‍—‍ ‍40% of the patients with positive HBV DNA and an age of >30 years receive antiviral therapy， while 80% ‍—‍ ‍100% of the patients with positive HBV DNA and a family history of hepatitis B cirrhosis or hepatocellular carcinoma receive antiviral therapy. The median follow-up rates at 1 year， 3 years， and 5 years were 67.5% 57.5% and 47.5%，respectively， showing a trend of gradual reduction， which might be associated with the influencing factors such as insufficient time for follow-up management by clinicians， insufficient awareness of the disease among patients， and poor adherence to follow-up. ConclusionThere is a gap between the awareness and practice of guidelines for the prevention and treatment of chronic hepatitis B （2022 edition） among clinicians. It is recommended to further strengthen training and focus on the whole process of “detection， diagnosis， treatment， and management” for patients with chronic hepatitis B in healthcare institutions， in order to promote the implementation of the guidelines.

In recent years, the incidence of multiple primary lung cancer (MPLC) has been increasing, and it cannot be ignored in clinical practice. The treatment of MPLC is still controversial, but surgical treatment is recognized as the most important treatment. However, current studies have shown that the treatment of MPLC needs to develop multimodal treatment according to different patients. This review summarizes multiple treatment method for MPLC, including surgery, ablation, chemotherapy, radiotherapy, targeted therapy, and immunotherapy in order to enhance understanding of MPLC treatment.
.
Humans ; Lung Neoplasms/surgery* ; Immunotherapy ; Combined Modality Therapy

Artificial intelligence (AI) has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research. Natural medicines, characterized by their complex chemical compositions and multifaceted pharmacological mechanisms, demonstrate widespread application in treating diverse diseases. However, research and development face significant challenges, including component complexity, extraction difficulties, and efficacy validation. AI technology, particularly through deep learning (DL) and machine learning (ML) approaches, enables efficient analysis of extensive datasets, facilitating drug screening, component analysis, and pharmacological mechanism elucidation. The implementation of AI technology demonstrates considerable potential in virtual screening, compound optimization, and synthetic pathway design, thereby enhancing natural medicines' bioavailability and safety profiles. Nevertheless, current applications encounter limitations regarding data quality, model interpretability, and ethical considerations. As AI technologies continue to evolve, natural medicines research and development will achieve greater efficiency and precision, advancing both personalized medicine and contemporary drug development approaches.
Biological Products/pharmacology* ; Artificial Intelligence ; Humans ; Drug Discovery/methods* ; Machine Learning ; Deep Learning

ObjectiveTo observe the clinical efficacy and safety of Zhuyuwan in the treatment of hyperlipidemia. MethodsIn this study， hyperlipidemia patients treated in the Hospital of Chengdu University of Traditional Chinese Medicine （TCM） from September 2022 to December 2023 were randomly assigned into a control group and an observation group. Finally， 162 valid cases were included， encompassing 74 cases in the control group and 88 cases in the observation group. The control group was treated with atorvastatin calcium tablets， and the observation group with atorvastatin calcium tablets + Zhuyuwan extract granules. Both groups were treated for 8 weeks. The efficacy in terms of blood lipid level recovery， blood lipid levels， TCM syndrome distribution， efficacy in terms of TCM syndrome， and TCM symptom scores were compared between the two groups as well as between before and after treatment. Liver and kidney functions were monitored for safety assessment. ResultsIn terms of blood lipid level recovery， the total response rate in the observation group was 86.36% （76/88） and that in the control group was 86.49% （64/74）， with no statistically significant difference between the two groups. After treatment， both groups showed declines in levels of triglyceride （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.05） and elevations in the level of high-density lipoprotein cholesterol （HDL-C） （P<0.05）. Moreover， the observation group outperformed the control group in recovering the levels of TG， LDL-C， and HDL-C （P<0.05， P<0.01）. In terms of TCM syndrome， hyperlipidemia was mostly caused by phlegm turbidity and obstruction. The total response rate in terms of TCM syndrome in the observation group was 87.30% （55/63）， which was higher than that （63.46%， 33/52） in the control group （χ²=9.102， P<0.01）. After treatment， the scores of total TCM symptoms， primary symptoms， and secondary symptoms decreased in both groups （P<0.05）， and the observation group had lower scores than the control group （P<0.01）. The observation group was superior to the control group in alleviating obesity， chest tightness， and low food intake （P<0.05）. In terms of safety， the level of aminotransferase was slightly elevated in the control group， and no obvious adverse reaction was observed in the observation group， with no statistical significance in the incidence of adverse reactions. ConclusionZhuyuwan combined with atorvastatin can not only recover blood lipid levels and alleviate TCM symptoms but also reduce the occurrence of adverse reactions.

ObjectiveTo observe the clinical efficacy and safety of Zhuyuwan in the treatment of hyperlipidemia. MethodsIn this study， hyperlipidemia patients treated in the Hospital of Chengdu University of Traditional Chinese Medicine （TCM） from September 2022 to December 2023 were randomly assigned into a control group and an observation group. Finally， 162 valid cases were included， encompassing 74 cases in the control group and 88 cases in the observation group. The control group was treated with atorvastatin calcium tablets， and the observation group with atorvastatin calcium tablets + Zhuyuwan extract granules. Both groups were treated for 8 weeks. The efficacy in terms of blood lipid level recovery， blood lipid levels， TCM syndrome distribution， efficacy in terms of TCM syndrome， and TCM symptom scores were compared between the two groups as well as between before and after treatment. Liver and kidney functions were monitored for safety assessment. ResultsIn terms of blood lipid level recovery， the total response rate in the observation group was 86.36% （76/88） and that in the control group was 86.49% （64/74）， with no statistically significant difference between the two groups. After treatment， both groups showed declines in levels of triglyceride （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.05） and elevations in the level of high-density lipoprotein cholesterol （HDL-C） （P<0.05）. Moreover， the observation group outperformed the control group in recovering the levels of TG， LDL-C， and HDL-C （P<0.05， P<0.01）. In terms of TCM syndrome， hyperlipidemia was mostly caused by phlegm turbidity and obstruction. The total response rate in terms of TCM syndrome in the observation group was 87.30% （55/63）， which was higher than that （63.46%， 33/52） in the control group （χ²=9.102， P<0.01）. After treatment， the scores of total TCM symptoms， primary symptoms， and secondary symptoms decreased in both groups （P<0.05）， and the observation group had lower scores than the control group （P<0.01）. The observation group was superior to the control group in alleviating obesity， chest tightness， and low food intake （P<0.05）. In terms of safety， the level of aminotransferase was slightly elevated in the control group， and no obvious adverse reaction was observed in the observation group， with no statistical significance in the incidence of adverse reactions. ConclusionZhuyuwan combined with atorvastatin can not only recover blood lipid levels and alleviate TCM symptoms but also reduce the occurrence of adverse reactions.

Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

Objective To establish a method for 11 main components of Hibisci Mutabilis Folium;To evaluate the quality of Hibisci Mutabilis Folium using the chemical pattern recognition,weighted TOPSIS and grey correlation degree fusion model.Methods A total of 18 batches of Hibisci Mutabilis Folium from main producing areas were collected,and the contents of caffeic acid,ferulic acid,salicylic acid,fraxetin,hyperoside,rutoside,isoquercitrin,kaempferol-3-O-rutinoside,tiliroside,β-sitosterol and eleucheroside were detected by external standard method.The extract,total ash and acid-insoluble ash were detected.The quality was systematically evaluated using chemical pattern recognition,weighted TOPSIS and grey correlation degree fusion model.Results The methodological verification showed that the linear relationship of each component was good,the repeatability and accuracy of the established method were good,the instrument precision was high,and the stability of the test solution of Hibisci Mutabilis Folium ultrasonically extracted with 70%methanol was good within 24 h.The content determination results showed that the quality difference between batches was large.Chemical pattern recognition analysis showed that 18 batches of Hibisci Mutabilis Folium were clustered obviously,and the quality difference compounds were identified as rutoside,caffeic acid,kaempferol-3-O-rutinoside,fraxetin and hyperoside.The relative closeness of 18 batches of samples was between 0.253 8 and 0.694 3.Conclusion The established multi-index quantitative method can reflect the quality differences of Hibisci Mutabilis Folium from different habitats.Chemical pattern recognition combined with weighted TOPSIS and grey correlation degree fusion model can comprehensively analyze the quality conditions of different batches of Hibisci Mutabilis Folium,which can establish a foundation for the quality analysis and evaluation of Hibisci Mutabilis Folium.

Objective:To investigate the risk factors and their predictive efficacy for postoperative premature epiphyseal closure in pediatric patients with distal tibial epiphyseal fractures.Methods:A retrospective cohort study was conducted to analyze the clinical data of 216 pediatric patients with distal tibial epiphyseal fractures admitted to Zhengzhou Orthopedics Hospital from January 2018 to December 2023, including 136 males and 80 females, aged 2-16 years [11.8(9.8, 13.3)years]. Among them, 112 patients were affected on the left side and 104 on the right. According to the Salter-Harris fracture classification, the fracture was classified as type I in 14 patients, type II in 97, type III in 38, type IV in 64 and type VI in 3. According to the presence of premature epiphyseal closure after surgery, the patients were divided into premature epiphyseal closure group ( n=38) and normal epiphyseal group ( n=178). Age, gender, body mass index (BMI), injury mechanism, side of injury, Salter-Harris classification of fracture, initial displacement distance of the fracture end, medial malleolar involvement by the fracture line surgical fixation method, operation duration, reduction method, and reduction quality were recorded in the two groups. Univariate analysis and binary Logistic regression analysis were used to evaluate and determine the independent risk factors for postoperative premature physeal closure in pediatric patients with distal tibial epiphyseal fracture. The receiver operating characteristic (ROC) curve was plotted and area under the curve (AUC) was calculated to evaluate the predictive efficacy of each risk factor for the occurrence of premature physeal closure in pediatric patients with distal tibial epiphyseal fractures. Results:Univariate analysis showed the occurrence of postoperative premature epiphyseal closure of the distal tibia was associated with age, Salter-Harris fracture classification, medial malleolar involvement by the fracture line, surgical fixation method, reduction method, and reduction quality ( P<0.05), while it was not correlated with gender, BMI, injury mechanism, side of injury, initial displacement distance of the fracture end, and operation duration ( P>0.05). Multivariate binary Logistic regression analysis showed that medial malleolar involvement by the fracture line ( OR=0.18, 95% CI 0.04, 0.76, P<0.05) and reduction quality ( OR=43.18,95% CI 10.71, 174.05, P<0.01) were significantly correlated with the occurrence of postoperative premature epiphyseal closure of the distal tibia. The results of ROC curve analysis showed that medial malleolar involvement by the fracture line had limited predictive efficiency (AUC=0.53, 95% CI 0.43, 0.63), reduction quality had moderate predictive efficacy (AUC=0.81, 95% CI 0.72, 0.91), while their combination demonstrated even higher predictive efficacy (AUC=0.83, 95% CI 0.74, 0.91). Conclusions:Medial malleolar involvement by the fracture line and reduction quality are independent risk factors for postoperative premature epiphyseal closure in pediatric patients with distal tibial epiphyseal fractures. Reduction quality demonstrates good predictive efficacy, while medial malleolar involvement by the fracture line shows limited predictive value. The combination of both factors achieves even better predictive performance.

Objective:To explore the impacts of different frequencies of orthogonal image-guided verification on set-up error correction and the reference values of planning target volume (PTV) margins in postoperative radiotherapy for breast cancer, in order to provide recommendations of the verification frequency in clinical practice.Methods:A total of 80 breast cancer patients who received postoperative intensity-modulated radiotherapy for breast cancer at the Affiliated Union Hospital of Fujian Medical University from January 2021 to January 2022 were enrolled. Orthogonal image-guided verification was conducted before each radiation treatment to determine initial and residual set-up errors. The error data were statistically analyzed by categorizing patients into groups A, B, C, D, E, and F, based on assumed verification frequencies (daily, every 2, 3, 4, and 5 d, and no correction). The magnitude, distribution, and differences of set-up errors of various groups were analyzed, and the PTV margins were calculated using a reference formula.Results:The collected initial set-up errors of the 80 patients were (3.49±3.43), (2.87±2.88), and (2.75±2.35) mm, in x, y, and z directions, respectively. The residual set-up errors decreased gradually with increasing verification frequency. In the case of daily image-guided verification, the residual set-up errors in x, y, and z directions decreased to (1.63±0.90), (1.63±0.93), and (1.55±0.90)mm, respectively. The reference values of PTV margins calculated under different verification frequencies decreased with an increase in the verification frequency. Under daily verification, the reference values of PTV margins calculated based on set-up errors decreased from initial 6.60, 6.29, and 4.22 mm (without correction) to 1.27, 1.37, and 1.28 mm, respectively. Differences in the reference values under verification frequencies every 3, 4, and 5 d were less than 0.81 mm. Conclusions:Daily image-guided verification (including correction) can effectively reduce set-up errors in image-guided radiotherapy for breast cancer. The set-up errors differ under varying verification frequencies, with a higher frequency corresponding to better correction effects and smaller PTV margins required.