ObjectiveBased on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， network pharmacology and molecular docking techniques， to explore the pharmacodynamic material basis and mechanism of Renshen Wuweizi Tang in treating spleen-lung Qi deficiency syndrome. MethodsThe chemical components in the decoction of Renshen Wuweizi Tang were systematically characterized and identified by UPLC-Q-TOF-MS/MS， and network pharmacology was used to screen potential active ingredients， collect component targets and gene sets related to spleen-lung Qi deficiency syndrome， and obtain protein interaction relationships through STRING. Cytoscape 3.9.1 was used to construct a "formula-syndrome" association network and calculate topological feature values. Gene ontology（GO） function and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were performed on core genes to explore potential pharmacodynamic links， the average shortest path between the formula-drug target network and the pharmacodynamic link gene network was calculated to discover dominant pharmacodynamic links， and MCODE plugin was used to identify core gene clusters from the dominant pharmacodynamic links， which were validated using Gene Expression Omnibus（GEO）， and molecular docking was performed between key components and core targets. ResultsOne hundred and thirty-seven components were identified in the negative ion mode， and eighty components were identified in the positive ion mode. After deduplication， a total of 185 components were identified， mainly composed of triterpenoid saponins（49） and flavonoids（54）. Based on the "formula-syndrome" correlation network analysis， energy metabolism was determined to be the dominant pharmacodynamic link of Renshen Wuweizi Tang in the treatment of spleen-lung Qi deficiency syndrome. The results of molecular docking showed that 7 components（adenosine， atractylenolide Ⅱ， atractylenolide Ⅲ， ginsenoside Rg₁， glycyrrhizin B₂， glycyrrhizin E₂ and campesterol） from 4 medicinal materials（Ginseng Radix et Rhizoma， Atractylodis Macrocephalae Rhizoma， Glycyrrhizae Radix et Rhizoma and Poria） in this formula might regulate energy metabolism by acting on 6 targets， namely cyclic adenosine monophosphate-response element binding protein 1（CREB1）， glyceraldehyde-3-phosphate dehydrogenase（GAPDH）， interleukin（IL）-6， nuclear transcription factor（NF）-κB1， peroxisome proliferator-activated receptor α（PPARα）， and tumor necrosis factor（TNF）， thus improving the symptoms of diseases related to spleen-lung Qi deficiency syndrome. ConclusionThis study established a UPLC-Q-TOF-MS/MS for rapid characterization and identification of chemical components in the decoction of Renshen Wuweizi Tang， expanding the understanding of the material composition of this formula， and found that 7 components might act on the key advantageous pharmacodynamic link "energy metabolism" through 6 targets to improve the related symptoms of spleen-lung Qi deficiency syndrome. This can provide a reference for the subsequent exploration of the material benchmark and mechanism of the famous classical formula.

Objective:To construct an assessment model on the basis of dynamic programming algorithm for medical device,so as to improve the management level for medical devices.Methods:A assessment model for medical device was constructed on the basis of the presupposition,basic ideas,solution steps and algorithm elements of dynamic programming algorithm,and the management of medical devices was transferred and carried out according to the state of the model at the multi-stage when decided problem.A total of 200 used medical devices in clinical application in Zhongshan City People's Hospital from January 2022 to December 2023 were selected.The conventional management method was adopted to manage these medical devices from January to December 2022,and the assessment model(dynamic programming algorithm)on the basis of dynamic programming algorithm for these medical devices was adopted to manage them from January to December 2023.The management level for medical devices,the score for management indicators,the incidences of low risk,medium risk and high risk of adverse event were compared before and after the dynamic programming algorithm was applied,and the difference of the scores of assessing comprehensive business ability of management team was also compared.Results:The standard placement rate,standard recording rate and availability rate of equipment were respectively 85.5%,84.0%and 84.5%after the dynamic programming algorithm was applied,which were higher than those before it was applied,and the failure rate of equipment was 2.5%,which was lower than that before it was applied,and the differences were statistically significant(x2=13.888,12.516,14.240,14.414,P＜0.05).The scores of resource allocation,information basis,technical support and guarantee for operation environment of devices were respectively(92.54±4.69),(93.65±3.65),(94.58±3.65)and(92.47±3.65)after the dynamic programming algorithm was applied,which were higher than these before it was applied,and the differences were statistically significant(t=14.574,18.419,11.438,12.981,P＜0.05).The ratios of the adverse events with low risk,medium risk and high risk were respectively 6%,5%and 2%,which were lower than these before it was applied,and the differences were statistically significant(x2=12.754,12.876,11.348,P＜0.05).The scores of comprehensive business ability of the technical support team,research team,promotion team and auxiliary management team for medical device were respectively(94.56±4.69),(92.65±3.14),(94.69±4.98)and(95.68±4.14)after the dynamic planning algorithm was applied,which were higher than these before it was applied,and the difference was statistically significant(t=12.170,18.682,12.449,18.269,P＜0.05).Conclusion:The application of the assessment model on the basis of dynamic programming algorithm for medical devices in management for medical device can improve the management level for device,and reduce the incidence of adverse events,and enhance the comprehensive business ability of management team for device.

Objective To analyze the predictive value of Alberta stroke program early CT score(ASPECTS),acute stroke registry and analysis of Lausanne(ASTRAL)and totaled health risks in vascular events(THRIVE)for prognosis of intravenous thrombolysis in elderly patients with acute cerebral infarction(ACI).Methods A total of 118 elderly ACI patients receiving intravenous thrombolytic therapy in Department of Emergency Medicine of Shengli Oilfield Central Hospital from January 2021 to September 2024 were prospectively recruited.According to the score of Modified Rankin scale(mRS)at 3 months after treatment,the patients were divided into good prognosis group(73 cases)and poor prognosis group(45 cases).The scores of ASPECTS,ASTRAL and THRIVE models were compared between the two groups.ROC curve was plotted to evaluate the predictive efficiency of the three models for 3-month prognosis,and the area under the curve(AUC)was calculated.Results The poor prognosis group had significantly higher ASTRAL score and THRIVE score but obviously lower ASPECTS score when compared to the good prognosis group(P＜0.01).ROC curve analysis revealed that the AUC value of ASPECTS,ASTRAL and THRIVE models for prognosis evaluation was 0.731,0.935 and 0.799,respectively(P＜0.01),with excellent goodness of fit.Conclusion All the three models can effectively predict the prognosis of elderly ACI patients at 3 months after intravenous thrombolytic therapy.

Objective To analyze residents' awareness,usage,and influencing factors regarding smart shared Tradition-al Chinese Medicine(TCM)pharmacies in Nanchang City.Methods Descriptive analysis,one-way ANOVA,chi-square tests,and hierarchical regression analysis were employed to determine the awareness,usage,and influencing factors of shared TCM pharmacies.Results The survey revealed that the primary channel for disseminating information about smart shared TCM phar-macies is the internet.The functions of TCM decoction and delivery services were widely recognized among respondents.Conven-ience was a key advantage considered by users.Most respondents had not used smart shared TCM pharmacy services,while over half primarily utilized TCM decoction,delivery,and prescription review services.Willingness to pay for decoction and delivery services was moderate,and drug quality emerged as a critical issue for the development of smart shared TCM pharmacies.Statisti-cally significant differences in awareness were observed across age,education level,residential area,household registration type,occupation,and household income(P＜0.05).Age,occupation,residential area,and household registration significantly influ-enced usage frequency(P＜0.05).The primary drivers of usage behavior were the functional value of smart shared TCM phar-macies rather than demographic characteristics.Conclusion It is recommended that the government,hospitals,and enterprises collaborate to establish a service framework for smart shared TCM pharmacies that ensures"visible quality,reliable delivery,and affordable pricing".

Objective To investigate the combined effect of berberine （BBR） and fluconazole （FLC） on FLC-tolerant Candida albicans in vitro. Methods The sensitivity of 8 strains of Candida albicans to FLC was assessed by determining their minimal inhibitory concentration （MIC） using broth microdilution method. FLC-tolerant strains were screened from FLC-sensitive strains by disk diffusion assay. The effect of BBR combined with FLC on FLC-tolerant Candida albicans was investigated by disk diffusion assay. Results All eight strains of Candida albicans exhibited sensitivity to FLC, with minimal inhibitory concentration （MIC₅₀） values below 0.5 μg/ml. Strains Y0109, 9821, 7879, 7654, and 9296 displayed colony growth in the inhibition zone after 48 h of constant temperature incubation, indicating FLC tolerance. When strains Y0109 and 9821 were subjected to a combination of BBR and FLC, the number of colonies within the inhibition zone decreased progressively with the increase of BBR concentration following a 48 h constant temperature culture. The inhibition zone became clear with the increasing of BBR concentration and increased with the increase of FLC loading, which showed a dose-dependent relationship. Conclusion The BBR combined with FLC demonstrated efficacy against FLC-tolerant strains.

Objective To analyze residents' awareness,usage,and influencing factors regarding smart shared Tradition-al Chinese Medicine(TCM)pharmacies in Nanchang City.Methods Descriptive analysis,one-way ANOVA,chi-square tests,and hierarchical regression analysis were employed to determine the awareness,usage,and influencing factors of shared TCM pharmacies.Results The survey revealed that the primary channel for disseminating information about smart shared TCM phar-macies is the internet.The functions of TCM decoction and delivery services were widely recognized among respondents.Conven-ience was a key advantage considered by users.Most respondents had not used smart shared TCM pharmacy services,while over half primarily utilized TCM decoction,delivery,and prescription review services.Willingness to pay for decoction and delivery services was moderate,and drug quality emerged as a critical issue for the development of smart shared TCM pharmacies.Statisti-cally significant differences in awareness were observed across age,education level,residential area,household registration type,occupation,and household income(P＜0.05).Age,occupation,residential area,and household registration significantly influ-enced usage frequency(P＜0.05).The primary drivers of usage behavior were the functional value of smart shared TCM phar-macies rather than demographic characteristics.Conclusion It is recommended that the government,hospitals,and enterprises collaborate to establish a service framework for smart shared TCM pharmacies that ensures"visible quality,reliable delivery,and affordable pricing".

Objective:To construct an assessment model on the basis of dynamic programming algorithm for medical device,so as to improve the management level for medical devices.Methods:A assessment model for medical device was constructed on the basis of the presupposition,basic ideas,solution steps and algorithm elements of dynamic programming algorithm,and the management of medical devices was transferred and carried out according to the state of the model at the multi-stage when decided problem.A total of 200 used medical devices in clinical application in Zhongshan City People's Hospital from January 2022 to December 2023 were selected.The conventional management method was adopted to manage these medical devices from January to December 2022,and the assessment model(dynamic programming algorithm)on the basis of dynamic programming algorithm for these medical devices was adopted to manage them from January to December 2023.The management level for medical devices,the score for management indicators,the incidences of low risk,medium risk and high risk of adverse event were compared before and after the dynamic programming algorithm was applied,and the difference of the scores of assessing comprehensive business ability of management team was also compared.Results:The standard placement rate,standard recording rate and availability rate of equipment were respectively 85.5%,84.0%and 84.5%after the dynamic programming algorithm was applied,which were higher than those before it was applied,and the failure rate of equipment was 2.5%,which was lower than that before it was applied,and the differences were statistically significant(x2=13.888,12.516,14.240,14.414,P＜0.05).The scores of resource allocation,information basis,technical support and guarantee for operation environment of devices were respectively(92.54±4.69),(93.65±3.65),(94.58±3.65)and(92.47±3.65)after the dynamic programming algorithm was applied,which were higher than these before it was applied,and the differences were statistically significant(t=14.574,18.419,11.438,12.981,P＜0.05).The ratios of the adverse events with low risk,medium risk and high risk were respectively 6%,5%and 2%,which were lower than these before it was applied,and the differences were statistically significant(x2=12.754,12.876,11.348,P＜0.05).The scores of comprehensive business ability of the technical support team,research team,promotion team and auxiliary management team for medical device were respectively(94.56±4.69),(92.65±3.14),(94.69±4.98)and(95.68±4.14)after the dynamic planning algorithm was applied,which were higher than these before it was applied,and the difference was statistically significant(t=12.170,18.682,12.449,18.269,P＜0.05).Conclusion:The application of the assessment model on the basis of dynamic programming algorithm for medical devices in management for medical device can improve the management level for device,and reduce the incidence of adverse events,and enhance the comprehensive business ability of management team for device.

Objective To analyze the predictive value of Alberta stroke program early CT score(ASPECTS),acute stroke registry and analysis of Lausanne(ASTRAL)and totaled health risks in vascular events(THRIVE)for prognosis of intravenous thrombolysis in elderly patients with acute cerebral infarction(ACI).Methods A total of 118 elderly ACI patients receiving intravenous thrombolytic therapy in Department of Emergency Medicine of Shengli Oilfield Central Hospital from January 2021 to September 2024 were prospectively recruited.According to the score of Modified Rankin scale(mRS)at 3 months after treatment,the patients were divided into good prognosis group(73 cases)and poor prognosis group(45 cases).The scores of ASPECTS,ASTRAL and THRIVE models were compared between the two groups.ROC curve was plotted to evaluate the predictive efficiency of the three models for 3-month prognosis,and the area under the curve(AUC)was calculated.Results The poor prognosis group had significantly higher ASTRAL score and THRIVE score but obviously lower ASPECTS score when compared to the good prognosis group(P＜0.01).ROC curve analysis revealed that the AUC value of ASPECTS,ASTRAL and THRIVE models for prognosis evaluation was 0.731,0.935 and 0.799,respectively(P＜0.01),with excellent goodness of fit.Conclusion All the three models can effectively predict the prognosis of elderly ACI patients at 3 months after intravenous thrombolytic therapy.

Cardiovascular surgery is still the preferred treatment for some congenital or acquired cardiovascular diseases.With the aging of China's population and the prevalence of unhealthy lifestyles brought about by the improvement of living standards,the burden of cardiovascular diseases is still steadily increasing and the volume of cardiovascular surgery continues to be at a high level,which puts forward a new demand for the prevention and treatment strategy of cardiovascular diseases and the allocation of medical resources.Cardiovascular surgery has many perioperative complications and high risk of mortality,a scientific surgical complexity scoring system can help clinicians fully assess the difficulty of surgery,stratify the risk of patient surgery,and formulate targeted and personalized diagnosis and treatment plans;meanwhile,it can help the health management department accurately grasp the overall diagnosis and treatment level of China's cardiovascular surgery,monitor the quality of medical care and provide a reference for the formulation and implementation of relevant medical policies.In this study,we systematically review the current status of evidence-based research on different cardiovascular surgical complexity assessment systems and summarize the application of machine learning in cardiovascular surgical assessment,with a view to contributing to the establishment of a cardiovascular surgical complexity assessment system applicable to the Chinese population.