ObjectiveTo improve the efficacy of Astragalus membranaceus (Fisch.) Bunge (A. membranaceus, Huang Qi), and to further develop and utilize it, fermentation technology was applied to the stem and leaf of A. membranaceus to enhance its immune function.MethodsIn this study, we fermented A. membranaceus stem and leaf (ASL) with probiotics and investigated its immune function. Firstly, we screened suitable strains for ASL fermentation and optimized the fermentation process. Secondly, we determined the antioxidant capacity of fermented ASL and its effect on inflammation in mouse monocyte-macrophage cell. Finally, the immunocompromised mice were treated with fermented ASL to investigate the changes in their immune ability.ResultsAmong the 10 selected probiotics, Lactobacillus plantarum was the most suitable strain for ASL fermentation. After optimization of the fermentation process, the content of saponins in fermented ASL was significantly increased. The fermented ASL exhibited strong anti-inflammatory and antioxidant activities in vitro. The in vivo immune efficacy improved by promoting the development of the spleen and thymus, as well as raising the immunoglobulin M, tumor necrosis factor-α, and interleukin-1β levels of in the serum.ConclusionThis study contributes to developing the non-medicinal parts of A. membranaceus, expands its medicinal resources, highlights the potential of fermentation technology to enhance these parts, and provides a reference for further development. Based on this approach, we can promote using non-medicinal parts of herbal medicines, minimize drug waste, and offer a reference for developing non-medicinal components in Chinese herbal medicines.

The Screening Tool of Older Persons' Prescriptions(STOPP)and the Screening Tool to Alert to Right Treatment(START)play a crucial role in identifying potentially inappropriate prescriptions among the elderly.As the aging population continues to grow, there is an urgent need for effective tools to address the challenges of multimorbidity and polypharmacy in elderly patients in China.However, the development of rational medication screening tools has significantly lagged, and there is currently a lack of sensitive and effective instruments in China.This article analyzes the newly added entries in the third edition of STOPP/START, aiming to provide a reference for managing multiple medication regimens and for the development of relevant tools for elderly patients in China.

The traditional medical quality management model has many problems,such as excessive reliance on experience,poor coordination among departments,and lagging supervision,innovating medical quality management models has become an essential issue for the high-quality development of hospitals.A tertiary Grade A general hospital built a"data element multiplier"ecological chain for medical quality management,and established a complete closed-loop management system for medical quality management under the"Internet plus"model.Finally,the mobile medical quality management platform was built.Jointly driven by"Internet plus"and"data element multiplier",the level of lean management has been significantly improved,providing practical reference for hospitals at the same level.

Objective:To explore the predictive efficacy of the HFA-ICOS score for cancer therapy-related cardiac dysfunction (CTRCD) in Chinese patients with breast cancer and lymphoma.Methods:This study was a single-center retrospective cohort study which included patients with breast cancer and lymphoma who were treated with anthracyclines from February 2018 to February 2025 at the First Affiliated Hospital of Dalian Medical University. Patients were evaluated at baseline with cardiac biomarkers and echocardiography, including left ventricular ejection fraction and global longitudinal strain of the left ventricle. After anthracycline therapy, they were followed up at 1, 3, 6, and 12 months. Data involved biomarkers and echocardiography were collected to determine whether CTRCD had occurred. The patients were categorized into low-risk, intermediate-risk, high-risk, and very-high-risk groups using the HFA-ICOS scoring model. The cumulative probability of CTRCD under different HFA-ICOS risk stratification was analyzed using Kaplan-Meier survival curves. The effect of HFA-ICOS risk stratification on CTRCD was assessed using an univariate Cox proportional hazards regression model. The predictive efficacy of the HFA-ICOS model and its utility in clinical decision-making were assessed with receiver operating characteristic (ROC) curves, calibration curves, and decision curves at each time point.Results:A total of 286 patients, aged 55 (44, 61) years, were enrolled, of whom 33 (11.5%) cases were male. And 113 (39.5%) patients developed CTRCD during a median follow-up time of 111 (70, 210) days. HFA-ICOS risk stratification showed that 228 (79.7%) were low-risk, 49 (17.1%) were intermediate-risk, and a total of 9 (3.1%) were high-risk and very high-risk. The difference in the occurrence of CTRCD over time between patients with different HFA-ICOS risk stratification was statistically significant ( Plog-rank<0.001). Cox proportional regression hazards analysis showed an increased risk of CTRCD development in intermediate-risk ( HR=1.95, 95% CI 1.22-3.00, P=0.006) and high-risk and very high-risk patients ( HR=4.12, 95% CI 1.66-8.54, P=0.004) compared with low-risk patients. The ROC curves showed that the area under the curve of the HFA-ICOS model predicting CTRCD was 0.532, 0.597, 0.600 and 0.577 at 1, 3, 6 and 12 months, respectively. The calibration curves indicated Brier scores of 0.041 (95% CI 0.013-0.067), 0.144 (95% CI 0.115-0.173), 0.232 (95% CI 0.215-0.249) and 0.236 (95% CI 0.220-0.251) at 1, 3, 6 and 12 months, correspondingly. The clinical decision curve suggested that clinical intervention may have a net benefit when the risk threshold is between 0.15 and 0.18 at 1 month, between 0.10 and 0.50 at 3 months, and between 0.30 and 0.70 at 6 and 12 months. Conclusion:The HFA-ICOS score could predict the occurrence of CTRCD in patients with breast cancer and lymphoma treated with anthracycline drugs, although its predictive efficacy is limited, and the prediction model requires further validation in a larger population.

The traditional medical quality management model has many problems,such as excessive reliance on experience,poor coordination among departments,and lagging supervision,innovating medical quality management models has become an essential issue for the high-quality development of hospitals.A tertiary Grade A general hospital built a"data element multiplier"ecological chain for medical quality management,and established a complete closed-loop management system for medical quality management under the"Internet plus"model.Finally,the mobile medical quality management platform was built.Jointly driven by"Internet plus"and"data element multiplier",the level of lean management has been significantly improved,providing practical reference for hospitals at the same level.

The Screening Tool of Older Persons' Prescriptions(STOPP)and the Screening Tool to Alert to Right Treatment(START)play a crucial role in identifying potentially inappropriate prescriptions among the elderly.As the aging population continues to grow, there is an urgent need for effective tools to address the challenges of multimorbidity and polypharmacy in elderly patients in China.However, the development of rational medication screening tools has significantly lagged, and there is currently a lack of sensitive and effective instruments in China.This article analyzes the newly added entries in the third edition of STOPP/START, aiming to provide a reference for managing multiple medication regimens and for the development of relevant tools for elderly patients in China.

Objective:To explore the predictive efficacy of the HFA-ICOS score for cancer therapy-related cardiac dysfunction (CTRCD) in Chinese patients with breast cancer and lymphoma.Methods:This study was a single-center retrospective cohort study which included patients with breast cancer and lymphoma who were treated with anthracyclines from February 2018 to February 2025 at the First Affiliated Hospital of Dalian Medical University. Patients were evaluated at baseline with cardiac biomarkers and echocardiography, including left ventricular ejection fraction and global longitudinal strain of the left ventricle. After anthracycline therapy, they were followed up at 1, 3, 6, and 12 months. Data involved biomarkers and echocardiography were collected to determine whether CTRCD had occurred. The patients were categorized into low-risk, intermediate-risk, high-risk, and very-high-risk groups using the HFA-ICOS scoring model. The cumulative probability of CTRCD under different HFA-ICOS risk stratification was analyzed using Kaplan-Meier survival curves. The effect of HFA-ICOS risk stratification on CTRCD was assessed using an univariate Cox proportional hazards regression model. The predictive efficacy of the HFA-ICOS model and its utility in clinical decision-making were assessed with receiver operating characteristic (ROC) curves, calibration curves, and decision curves at each time point.Results:A total of 286 patients, aged 55 (44, 61) years, were enrolled, of whom 33 (11.5%) cases were male. And 113 (39.5%) patients developed CTRCD during a median follow-up time of 111 (70, 210) days. HFA-ICOS risk stratification showed that 228 (79.7%) were low-risk, 49 (17.1%) were intermediate-risk, and a total of 9 (3.1%) were high-risk and very high-risk. The difference in the occurrence of CTRCD over time between patients with different HFA-ICOS risk stratification was statistically significant ( Plog-rank<0.001). Cox proportional regression hazards analysis showed an increased risk of CTRCD development in intermediate-risk ( HR=1.95, 95% CI 1.22-3.00, P=0.006) and high-risk and very high-risk patients ( HR=4.12, 95% CI 1.66-8.54, P=0.004) compared with low-risk patients. The ROC curves showed that the area under the curve of the HFA-ICOS model predicting CTRCD was 0.532, 0.597, 0.600 and 0.577 at 1, 3, 6 and 12 months, respectively. The calibration curves indicated Brier scores of 0.041 (95% CI 0.013-0.067), 0.144 (95% CI 0.115-0.173), 0.232 (95% CI 0.215-0.249) and 0.236 (95% CI 0.220-0.251) at 1, 3, 6 and 12 months, correspondingly. The clinical decision curve suggested that clinical intervention may have a net benefit when the risk threshold is between 0.15 and 0.18 at 1 month, between 0.10 and 0.50 at 3 months, and between 0.30 and 0.70 at 6 and 12 months. Conclusion:The HFA-ICOS score could predict the occurrence of CTRCD in patients with breast cancer and lymphoma treated with anthracycline drugs, although its predictive efficacy is limited, and the prediction model requires further validation in a larger population.

Objective To analyze the interactions between different structural types of volatile oil compo-nents(VOCs)and skin lipid molecules,and investigate the mechanism of volatile oil in Chi-nese materia medica(VOCMM)as penetration enhancers. Methods In this study,210 different structural types of VOCs were selected from the VOCMM penetration enhancer database,and the molecular docking experiments were conducted with three main lipid molecules of skin:ceramide 2(CER2),cholesterol(CHL),and free fatty acid(FFA).Each VOC was docked individually with each lipid molecule.Cluster analysis was used to explore the relationship between the binding energy of VOCs and their molecular struc-tures.Nine specific pathogen-free(SPF)Sprague Dawley(SD)rats were randomly divided in-to Control,Nootkatone,and 3-Butylidenephthalide groups for in vitro percutaneous experi-ments,with three rats in each group.The donor pool solutions were 3%gastrodin,3%gas-trodin+3%nootkatone,and 3%gastrodin+3%3-butylidenephthalide,respectively.The pen-etration enhancing effects of VOCs with higher binding energy were evaluated by comparing the 12-hour cumulative percutaneous absorption of gastrodin(Q12,μg/cm2). Results(i)Most of the VOCs were non-hydrogen bonded to the hydrophobic parts of CHL and FFA,and hydrogen bonded to the head group of CER2.Among them,sesquiterpene ox-ides showed the most pronounced binding affinity to CER2.The VOCs with 2-4 rings(in-cluding carbon rings,benzene rings,and heterocycles)demonstrated stronger binding affini-ty for three skin lipid molecules compared with the VOCs without intramolecular rings(P<0.01).(ii)According to the cluster analysis,most of the VOCs that bond well to CER2 had 2-3 intramolecular rings.The non-oxygenated VOCs were bonded to CER2 in a hydrophobic manner.The oxygenated VOCs were mostly bonded to CER2 by hydrogen bonding.(iii)The results of Franz diffusion cell experiment showed that the Q12 of Control group was 260.60±25.09 μg/cm2,and the transdermal absorption of gastrodin was significantly increased in Nootkatone group(Q12=5 503.00±1 080.00 μg/cm2,P<0.01).The transdermal absorption of gastrodin was also increased in 3-Butylidenephthalide group(Q12=495.40±56.98 μg/cm2,P>0.05).(iv)The type of oxygen-containing functional groups in VOCs was also an influencing factor of binding affinity to CER2. Conclusion The interactions between different types of VOCs with different structures in the VOCMM and three skin lipid molecules in the stratum corneum were investigated at the molecular level in this paper.This research provided theoretical guidance and data support for the screening of volatile oil-based penetration enhancers,and a simple and rapid method for studying the penetration-enhancing mechanism of volatile oils.

Objective:To analyze the role of learning engagement and learning burnout in the relationship between supervisors' guidance and the personal ability of postgraduates in the Professional Master's Program in Clinical Medicine.Methods:A total of 4 016 postgraduates in the Professional Master's Program in Clinical Medicine from 61 colleges were surveyed in 2020. Common method bias was assessed using the Harman's single factor test and total score was determined by the entropy weight method. Causality and mediation effect were analyzed by linear regression, and mediation effect was tested by Bootstrapping.Results:The average scores of supervisors' guidance, learning burnout, learning engagement and personal ability were (4.13±0.87), (2.49±1.11), (3.88±0.83), and (3.71±0.78), respectively. Supervisors' guidance significantly and positively impacted learning engagement ( β=0.689, P<0.001) and personal ability ( β=0.504, P<0.001). Learning engagement played a partial mediating role (89.30% of mediation effect) between supervisors' guidance and personal ability. Learning burnout (interaction term β=0.078, P<0.001) positively regulated the relationship between supervisors' guidance and learning engagement. Conclusions:Learning engagement can mediate the effect of supervisors' guidance on the personal ability of postgraduates in the Professional Master's Program in Clinical Medicine, and learning burnout positively regulates the effect of supervisors' guidance on learning engagement. Strengthened supervisors' guidance, increased attention to students' learning burnout, and enhanced learning engagement can further improve the personal abilities of postgraduates in the Professional Master's Program in Clinical Medicine.