Breast cancer is malignant tumor with the highest incidence in women.Early ultrasound diagnosis and timely treatment can reduce therapeutic costs and improve long-term survival rate.In recent years,deep learning(DL)technology had been widely used in ultrasound imaging of breast cancer and achieved remarkable results.The progresses of DL in ultrasound imaging of breast cancer were reviewed in this article.

Objective To explore the application efficacy of refined management on antimicrobial agents in a chest specialty hospital.Methods Multiple measures were implemented through perfecting management systems and processes,as well as conducting knowledge training,such as multi-dimensional specialized prescription reviewing,optimizing information systems,and implementing grid-based management of clinical pharmacist.A refined manage-ment mode for antimicrobial agents in a chest specialty hospital has been established.Antimicrobial management in-dicators for the whole hospital and each clinical specialty in 2023(before management)and 2024(after manage-ment)were analyzed.Results Compared with 2023,antimicrobial use rate among hospitalized patients in 2024 de-creased from 47.48％to 45.92％,and antimicrobial use density(AUD)decreased from 46.28 defined daily doses(DDDs)/(100 person·day)to 39.73 DDDs/(100 person·day).The ratio of antimicrobial cost to total drug cost decreased from 12.71％to 9.51％,and the per capita cost of antimicrobial use decreased from 1 344.18 Yuan to 975.52 Yuan.The use rate of prophylactic antimicrobial agents for class Ⅰ incision surgery increased from 84.48％to 89.52％,and the rationality rate increased from 69.25％to 94.53％.The management indicators of each clinical specialty improved significantly.Conclusion Through adopting a series of refined management measures,antimi-crobial management modes that are suitable for the actual situation of the hospital has been constructed,and obvious efficacy was achieved.Clinical application of antimicrobial agents is more standardized and rational.

Objective To investigate the mediating role of anxiety and depression in social sup-port and burnout among primary caregivers of stroke patients.Methods A convenience sampling method was employed to select 506 primary caregivers of stroke patients as research subjects.The Gen-eral Information Questionnaire,Caregiver Burnout Inventory for Stroke Patients,Multidimensional Scale of Perceived Social Support,and Hospital Anxiety and Depression Scale were used for data col-lection.Results The total scores for caregiver burnout,social support,anxiety,and depression a-mong primarycaregivers of stroke patients were(72.83±14.32),(47.79±7.74),(10.49±3.00),and(10.45±3.06),respectively.Correlation analysis revealed a negative correlation between caregiver burnout and social support(r=-0.245,P＜0.001),and positive correlations with anxiety and depression(r=0.178,0.216,P＜0.001).Anxiety and depression partially media-ted the relationship between social support and caregiver burnout,accounting for 7.9％and 10.7％of the total effect,respectively.Conclusion Social support,anxiety,depression,and burnout are closely interrelated.Social support can directly or indirectly influence the occurrence of burnoutthrough anxiety and depression.Medical staff should pay attention to the anxiety and depression status of primary caregivers of stroke patients and enhance social support levels to reduce the incidence of burnout by alleviating anxiety and depression.

Objective To investigate the prevalence and influencing factors of work-related musculoskeletal disorders (WMSDs) among bus drivers. Methods A total of 962 drivers from a bus company in Shenzhen City were selected as the research subjects using the judgment sampling method. The Musculoskeletal Disorders Questionnaire for Bus Drivers was used to investigate the prevalence of WMSDs among the research subjects. Results The prevalence of WMSDs was 37.8% in the bus drivers. The prevalence of WMSDs was higher in the low back/waist, neck, and shoulder compared with other body parts, with prevalence of 24.0%, 20.2%, and 14.8%, respectively. The prevalence of single-site and multi-site WMSDs was 18.5% and 19.3%, respectively. The results of the multivariable logistic regression analysis showed that longer job tenure and higher alcohol consumption frequency were associated with higher WMSDs risks (all P<0.01). Weekly work time >48 hours, insufficient rest, work-related fatigue, uncomfortable auxiliary lenses, non-upright trunk posture, prolonged static trunk posture, prolonged wrist flexion, and habitual staying up late were risk factors of WMSDs in the bus drivers (all P<0.05). Conclusion The prevention and treatment of WMSDs among the bus drivers cannot be ignored. Personal characteristics, work organization, work environment, working posture and sleeping habits are the factors that influence the development of WMSDs.

AIM:To investigate the mechanism of flavonoid extract from Dracocephalum rupestre hance(DRHF)in the treatment of gouty arthritis through network pharmacology,molecular docking and animal experiment.METHODS:Literature re-trieval was used to explore the main active chemi-cal components and targets of DRHF.Gouty arthri-tis disease targets were obtained using Gene Cards and OMIM databases,and drug-disease intersect-ing targets were obtained using Wayne online tools.protein-protein interactions(PPI)and other related network diagrams were constructed using Cytoscape software.GO and KEGG enrichment analyses were performed on the shared intersect-ing targets using Metascape database.A rat model of gouty arthritis was established by Coderre meth-od;the swelling degree of ankle joint,gait behav-iour scores of rats were observed,and hematoxylin-eosin(HE)staining was performed.ELISA and real-time PCR were used to detect the key targets pre-dicted by the network pharmacology,and the ef-fects of DRHF on the molecular mechanism and key targets of gouty arthritis were observed.RESULTS:A total of 7 active compounds and 129 candidate targets for the treatment of GA were obtained,in-cluding IL-6,IL-1β,RELA,TNF,PPARG,etc.and the KEGG enrichment results suggested that DRHF may be involved in PI3K-Akt,TNF,IL-17 and other signal transduction pathways.Animal results:HE staining showed that the thickening of synovial tissue was not obvious in each administered group,and syno-vial cell proliferation and inflammatory cell infiltra-tion were significantly improved;compared with the normal group,the serum levels of TNF,IL-6,and IL-1β in the model group were significantly higher(P＜0.05),and the mRNA of PPARG,IL-6,and RELA in the synovial tissues were significantly high-er;compared with the model group,the levels of TNF,IL-6,and IL-1β were significantly lower(P＜0.05)in the low group of DRHF(0.45 g/kg)and high group of DRHF(0.9 g/kg),TNF,IL-6,IL-1β lev-els were significantly reduced(P＜0.05);PPARG,IL-6,RELA mRNA in synovial tissue were significantly reduced.CONCLUSION:DRHF inhibits IL-17/PI-3K/TNF signaling pathway by down-regulating the ex-pression of IL-6,PPARG and RELA mRNA,decreas-ing the levels of IL-6,IL-1β and TNF,and then treat-ing gouty arthritis.

Objective:To explore the influencing factors of self-management of first-treatment pulmonary tuberculosis patients based on the random forest model, and to provide a theoretical basis for clinical staff to improve the self-management of pulmonary tuberculosis patients by providing efficient, high-quality, and individualized interventions.Methods:A cross-sectional study was used to select pulmonary tuberculosis patients who were hospitalized in the Department of Respiratory Medicine of the Fourth People′s Hospital of the Ningxia Hui Autonomous Region and who met the inclusion and exclusion criteria from December 2023 to February 2024 by using the convenience sampling method as the study subjects. General information questionnaire, Chronic Disease Patients′ Self-health Management Ability Assessment Scale, Perceived Social Support Scale, Hospital Anxiety and Depression Scale, and a tuberculosis prevention and treatment knowledge questionnaire were used to conduct the survey, and Spearman′s correlation was used to analyze the correlation between variables, and multivariate linear regression and a random forest model were used to analyze the influencing factors of self-management.Results:A total of 204 first-treatment pulmonary tuberculosis patients, 111 males and 93 females, 64 patients aged 18-44 years, 59 patients aged 45-59 years, and 81 patients ≥60 years were finally investigated. The total self-management score of tuberculosis patients was 162.00 (148.00, 176.75), and the total self-management score was positively correlated with the total perceived social support score, family support, friend support, and other support, respectively ( r values were 0.307-0.400, all P<0.01), negatively correlated with the anxiety and depression scores, respectively ( r=-0.195, -0.313, both P<0.01), and positively correlated with the total score of knowledge of tuberculosis control ( r=0.257, P<0.01); the results of multiple linear stepwise regression analysis showed that literacy, family support, other support, anxiety, and knowledge of tuberculosis control were the influencing factors of self-management ability ( t values were -2.89-2.98, all P<0.05), which explained a total of 23.1% of the total variance; and the random forest model ranked the importance of the influencing factors in the order of high to low were other support, family support, knowledge of tuberculosis control, literacy, and anxiety. Conclusions:The self-management of first-treatment pulmonary tuberculosis patients is at an intermediate level, In order to improve the self-management ability of first-treatment pulmonary tuberculosis patients, clinical personnel should establish a "patient-centered" self-management education concept, pay attention to the construction of their social support system, provide adequate, continuous, individualized knowledge education and information support, promote their psychological health, and reduce their negative emotions.

Objective To explore the application efficacy of refined management on antimicrobial agents in a chest specialty hospital.Methods Multiple measures were implemented through perfecting management systems and processes,as well as conducting knowledge training,such as multi-dimensional specialized prescription reviewing,optimizing information systems,and implementing grid-based management of clinical pharmacist.A refined manage-ment mode for antimicrobial agents in a chest specialty hospital has been established.Antimicrobial management in-dicators for the whole hospital and each clinical specialty in 2023(before management)and 2024(after manage-ment)were analyzed.Results Compared with 2023,antimicrobial use rate among hospitalized patients in 2024 de-creased from 47.48％to 45.92％,and antimicrobial use density(AUD)decreased from 46.28 defined daily doses(DDDs)/(100 person·day)to 39.73 DDDs/(100 person·day).The ratio of antimicrobial cost to total drug cost decreased from 12.71％to 9.51％,and the per capita cost of antimicrobial use decreased from 1 344.18 Yuan to 975.52 Yuan.The use rate of prophylactic antimicrobial agents for class Ⅰ incision surgery increased from 84.48％to 89.52％,and the rationality rate increased from 69.25％to 94.53％.The management indicators of each clinical specialty improved significantly.Conclusion Through adopting a series of refined management measures,antimi-crobial management modes that are suitable for the actual situation of the hospital has been constructed,and obvious efficacy was achieved.Clinical application of antimicrobial agents is more standardized and rational.

AIM:To investigate the mechanism of flavonoid extract from Dracocephalum rupestre hance(DRHF)in the treatment of gouty arthritis through network pharmacology,molecular docking and animal experiment.METHODS:Literature re-trieval was used to explore the main active chemi-cal components and targets of DRHF.Gouty arthri-tis disease targets were obtained using Gene Cards and OMIM databases,and drug-disease intersect-ing targets were obtained using Wayne online tools.protein-protein interactions(PPI)and other related network diagrams were constructed using Cytoscape software.GO and KEGG enrichment analyses were performed on the shared intersect-ing targets using Metascape database.A rat model of gouty arthritis was established by Coderre meth-od;the swelling degree of ankle joint,gait behav-iour scores of rats were observed,and hematoxylin-eosin(HE)staining was performed.ELISA and real-time PCR were used to detect the key targets pre-dicted by the network pharmacology,and the ef-fects of DRHF on the molecular mechanism and key targets of gouty arthritis were observed.RESULTS:A total of 7 active compounds and 129 candidate targets for the treatment of GA were obtained,in-cluding IL-6,IL-1β,RELA,TNF,PPARG,etc.and the KEGG enrichment results suggested that DRHF may be involved in PI3K-Akt,TNF,IL-17 and other signal transduction pathways.Animal results:HE staining showed that the thickening of synovial tissue was not obvious in each administered group,and syno-vial cell proliferation and inflammatory cell infiltra-tion were significantly improved;compared with the normal group,the serum levels of TNF,IL-6,and IL-1β in the model group were significantly higher(P＜0.05),and the mRNA of PPARG,IL-6,and RELA in the synovial tissues were significantly high-er;compared with the model group,the levels of TNF,IL-6,and IL-1β were significantly lower(P＜0.05)in the low group of DRHF(0.45 g/kg)and high group of DRHF(0.9 g/kg),TNF,IL-6,IL-1β lev-els were significantly reduced(P＜0.05);PPARG,IL-6,RELA mRNA in synovial tissue were significantly reduced.CONCLUSION:DRHF inhibits IL-17/PI-3K/TNF signaling pathway by down-regulating the ex-pression of IL-6,PPARG and RELA mRNA,decreas-ing the levels of IL-6,IL-1β and TNF,and then treat-ing gouty arthritis.

Objective:To explore the influencing factors of self-management of first-treatment pulmonary tuberculosis patients based on the random forest model, and to provide a theoretical basis for clinical staff to improve the self-management of pulmonary tuberculosis patients by providing efficient, high-quality, and individualized interventions.Methods:A cross-sectional study was used to select pulmonary tuberculosis patients who were hospitalized in the Department of Respiratory Medicine of the Fourth People′s Hospital of the Ningxia Hui Autonomous Region and who met the inclusion and exclusion criteria from December 2023 to February 2024 by using the convenience sampling method as the study subjects. General information questionnaire, Chronic Disease Patients′ Self-health Management Ability Assessment Scale, Perceived Social Support Scale, Hospital Anxiety and Depression Scale, and a tuberculosis prevention and treatment knowledge questionnaire were used to conduct the survey, and Spearman′s correlation was used to analyze the correlation between variables, and multivariate linear regression and a random forest model were used to analyze the influencing factors of self-management.Results:A total of 204 first-treatment pulmonary tuberculosis patients, 111 males and 93 females, 64 patients aged 18-44 years, 59 patients aged 45-59 years, and 81 patients ≥60 years were finally investigated. The total self-management score of tuberculosis patients was 162.00 (148.00, 176.75), and the total self-management score was positively correlated with the total perceived social support score, family support, friend support, and other support, respectively ( r values were 0.307-0.400, all P<0.01), negatively correlated with the anxiety and depression scores, respectively ( r=-0.195, -0.313, both P<0.01), and positively correlated with the total score of knowledge of tuberculosis control ( r=0.257, P<0.01); the results of multiple linear stepwise regression analysis showed that literacy, family support, other support, anxiety, and knowledge of tuberculosis control were the influencing factors of self-management ability ( t values were -2.89-2.98, all P<0.05), which explained a total of 23.1% of the total variance; and the random forest model ranked the importance of the influencing factors in the order of high to low were other support, family support, knowledge of tuberculosis control, literacy, and anxiety. Conclusions:The self-management of first-treatment pulmonary tuberculosis patients is at an intermediate level, In order to improve the self-management ability of first-treatment pulmonary tuberculosis patients, clinical personnel should establish a "patient-centered" self-management education concept, pay attention to the construction of their social support system, provide adequate, continuous, individualized knowledge education and information support, promote their psychological health, and reduce their negative emotions.

Breast cancer is malignant tumor with the highest incidence in women.Early ultrasound diagnosis and timely treatment can reduce therapeutic costs and improve long-term survival rate.In recent years,deep learning(DL)technology had been widely used in ultrasound imaging of breast cancer and achieved remarkable results.The progresses of DL in ultrasound imaging of breast cancer were reviewed in this article.