ObjectiveTo elucidate the chemical composition of Danshenyin and its blood components in rats after oral administration. MethodsUltra performance liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry（UPLC-Q-TOF-MS/MS） coupled with PeakView 1.2 software was used to systematically characterize and identify the components of Danshenyin aqueous extract and its migratory components in rat blood after oral administration based on the retention time， quasi-molecular ion peaks， secondary fragmentation ions， and literature reports， and a preliminary compounds identification of Salviae Miltiorrhizae Radix et Rhizoma aqueous extract， the co-decoction of Santali Albi Lignum and Amomi Fructus was carried out to attribute the chemical constituents of the aqueous extract of Danshenyin. ResultsA total of 73 compounds， including 21 phenolic acids， 23 diterpenes， 6 flavonoids， 7 organic acids， 3 volatile oils and 13 others， were identified from the aqueous extract of Danshenyin. And 36 prototypes and 15 metabolites were identified in rat plasma， the major metabolic pathways included reduction， hydration， hydroxylation， demethylation， methylation， sulfation and others， these metabolites were mainly derived from tanshinones and salvianolic acids. ConclusionThe main blood components of the aqueous extract of Danshenyin are salvianolic acids and tanshinones， which may be the material basis of the efficacy. This study can provide reference for pharmacological research， quality control， and clinical application of Danshenyin.

Objective The purpose of this study is to explore the application effect of the typical teaching case library in thyroid disease teaching based on the case teaching method(CBL).Methods The standardized training students of resident physicians who rotated in our department from January 2022 to December 2024 were randomly divided into an experimental group and a control group.The experimental group students were taught using a typical teaching case library based on the CBL course,while the control group students were taught using traditional teaching methods.A total of 102 people were included in this study.We conduct a comprehensive assessment of teaching effectiveness through three methods:theoretical exams,practical skills as-sessments,and questionnaire surveys.Results The results indicate that the experimental group students were significantly higher than the control group in terms of theoretical exams,practical skills,and teaching satisfaction(P＜0.05).Conclusion The typi-cal teaching case library based on CBL has a good application effect in thyroid disease teaching,which can improve students'learn-ing interest,clinical thinking ability,and practical operation level.It is worth promoting and applying in medical education.

Objective:To conduct a scoping review of the role responsibilities and competencies of oncology nurse specialist in the management of cutaneous immune-related adverse events (cirAEs), with a view to providing scientific guidance and reference for nursing practice in the field of oncology immunotherapy.Methods:Using the scoping review methodology as the framework, the relevant literatures on oncology nurse specialist in the management of cirAEs in databases including PubMed, Web of Science, CINAHL, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, and China Biology Medicine from their inception to September 20, 2024 were systematically searched. Two researchers independently screened the included literature, extracted information, and conducted a summary analysis.Results:A total of 24 articles were included. Based on the summary and categorization of the literature, six categories were identified, including dynamic monitoring and assessment, classification and intervention of cirAEs, precise symptom management, multidisciplinary management, continuity of care, and specialized training, along with 18 related responsibility items.Conclusions:Oncology nurse specialist plays a significant role in the management of cirAEs. In the future, it should draw on the training models and curricula of advanced practice oncology nurses from abroad to optimize oncology nurse specialist training and nursing practices, thereby enhancing the professionalism of nursing services and the quality of patient care.

Objective To develop a risk prediction model for moderate-to-severe catheter-related bladder discomfort(CRBD)after non-transurethral surgery based on various machine-learning algorithms and to compare the performance of the models,so as to provide a reference for accurately identification and prevention of the postoperative moderate-to-severe CRBD.Methods A convenience sampling method was employed to recruit 719 patients as study subjects.The patients received non-transurethral surgery and intraoperative urinary catheterisation in a Tier-ⅢA hospital in Shanxi Province between January and May 2024.The clinical data were collected,with 70％of the randomly selected data was assigned to a training dataset(n=503)for the model building and the rest of 30％of data was used as the testing dataset(n=216)for internal model validation.Predictors were determined using least absolute shrinkage and selection operators(LASSO).Seven machine learning methods of logistic regression,K-nearest neighbours,random forest,artificial neural network,decision tree,light gradient boosting machine(LightGBM)and elastic net were employed to establish the risk prediction models.Performance of the models was evaluated based on the area under receiver operating characteristic curve(AUR-ROC),accuracy,precision,recall and F1 score.Results A total of 719 patients who underwent non-transurethral surgery were included in the study.It was found that 154(21.4％)patients presented with moderate to severe CRBD and 565(78.6％)patients were without or only with a mild CRBD.The predictors were deduced to six variables:gender,abdominal surgery,type of surgery,administration of dexmedetomidine before surgery,intraoperative administration of flurbiprofenate,and use of tramadol by the completion of surgery.It was found that the LightGBM model demonstrated a high stability,with 0.793 in AUC-ROC,0.763 in accuracy,0.879 in precision,0.747 in recall and 0.808 in F1.Conclusion The risk prediction model established through LightGBM for moderate-to-severe CRBD after a non-transurethral surgery exhibits a high stability.It offers a reference for medical practitioners to identify the patients with high-risk of moderate-to-severe CRBD and prepares for relevant interventions.

Objective:To gain insight into the multidimensional needs of adults with moderate-to-severe psoriasis at different stages of disease progression diagnostic and treatment dynamics based on patient journey maps, providing a basis for developing precise intervention strategies and optimizing care throughout the journey.Methods:From September to October 2024, 14 adult patients with moderate-to-severe psoriasis admitted to the Department of Dermatology of the First Hospital of Shanxi Medical University were selected by purposive sampling method for semi-structured interviews. Content analysis was used to analyze the data, drawing on theory of "timing it right" to depict a patient journey map that was reviewed and improved by the research team and patients.Results:Patient journey map was developed and condensed into four themes of experiences and challenges from pre-diagnosis to adaptation, complex emotional experiences, experiential pain points at each stage of the diagnosis and treatment, and opportunity points to improve the experience and quality of the diagnosis and treatment.Conclusions:At different stages of disease progression, the diagnosis and treatment needs of adults with moderate-to-severe psoriasis are characterized by dynamic evolution and multidimensional integration. The journey map can accurately identify patients' differentiated experiences and needs, and can provide a reference for healthcare professionals and policy makers to optimize patients' diagnostic and treatment experiences and focus on patients' health management.

Objective The purpose of this study is to explore the application effect of the typical teaching case library in thyroid disease teaching based on the case teaching method(CBL).Methods The standardized training students of resident physicians who rotated in our department from January 2022 to December 2024 were randomly divided into an experimental group and a control group.The experimental group students were taught using a typical teaching case library based on the CBL course,while the control group students were taught using traditional teaching methods.A total of 102 people were included in this study.We conduct a comprehensive assessment of teaching effectiveness through three methods:theoretical exams,practical skills as-sessments,and questionnaire surveys.Results The results indicate that the experimental group students were significantly higher than the control group in terms of theoretical exams,practical skills,and teaching satisfaction(P＜0.05).Conclusion The typi-cal teaching case library based on CBL has a good application effect in thyroid disease teaching,which can improve students'learn-ing interest,clinical thinking ability,and practical operation level.It is worth promoting and applying in medical education.

Objective To develop a risk prediction model for moderate-to-severe catheter-related bladder discomfort(CRBD)after non-transurethral surgery based on various machine-learning algorithms and to compare the performance of the models,so as to provide a reference for accurately identification and prevention of the postoperative moderate-to-severe CRBD.Methods A convenience sampling method was employed to recruit 719 patients as study subjects.The patients received non-transurethral surgery and intraoperative urinary catheterisation in a Tier-ⅢA hospital in Shanxi Province between January and May 2024.The clinical data were collected,with 70％of the randomly selected data was assigned to a training dataset(n=503)for the model building and the rest of 30％of data was used as the testing dataset(n=216)for internal model validation.Predictors were determined using least absolute shrinkage and selection operators(LASSO).Seven machine learning methods of logistic regression,K-nearest neighbours,random forest,artificial neural network,decision tree,light gradient boosting machine(LightGBM)and elastic net were employed to establish the risk prediction models.Performance of the models was evaluated based on the area under receiver operating characteristic curve(AUR-ROC),accuracy,precision,recall and F1 score.Results A total of 719 patients who underwent non-transurethral surgery were included in the study.It was found that 154(21.4％)patients presented with moderate to severe CRBD and 565(78.6％)patients were without or only with a mild CRBD.The predictors were deduced to six variables:gender,abdominal surgery,type of surgery,administration of dexmedetomidine before surgery,intraoperative administration of flurbiprofenate,and use of tramadol by the completion of surgery.It was found that the LightGBM model demonstrated a high stability,with 0.793 in AUC-ROC,0.763 in accuracy,0.879 in precision,0.747 in recall and 0.808 in F1.Conclusion The risk prediction model established through LightGBM for moderate-to-severe CRBD after a non-transurethral surgery exhibits a high stability.It offers a reference for medical practitioners to identify the patients with high-risk of moderate-to-severe CRBD and prepares for relevant interventions.

Objective:To conduct a scoping review of the role responsibilities and competencies of oncology nurse specialist in the management of cutaneous immune-related adverse events (cirAEs), with a view to providing scientific guidance and reference for nursing practice in the field of oncology immunotherapy.Methods:Using the scoping review methodology as the framework, the relevant literatures on oncology nurse specialist in the management of cirAEs in databases including PubMed, Web of Science, CINAHL, Embase, Cochrane Library, China National Knowledge Infrastructure, Wanfang Database, and China Biology Medicine from their inception to September 20, 2024 were systematically searched. Two researchers independently screened the included literature, extracted information, and conducted a summary analysis.Results:A total of 24 articles were included. Based on the summary and categorization of the literature, six categories were identified, including dynamic monitoring and assessment, classification and intervention of cirAEs, precise symptom management, multidisciplinary management, continuity of care, and specialized training, along with 18 related responsibility items.Conclusions:Oncology nurse specialist plays a significant role in the management of cirAEs. In the future, it should draw on the training models and curricula of advanced practice oncology nurses from abroad to optimize oncology nurse specialist training and nursing practices, thereby enhancing the professionalism of nursing services and the quality of patient care.

Objective:To gain insight into the multidimensional needs of adults with moderate-to-severe psoriasis at different stages of disease progression diagnostic and treatment dynamics based on patient journey maps, providing a basis for developing precise intervention strategies and optimizing care throughout the journey.Methods:From September to October 2024, 14 adult patients with moderate-to-severe psoriasis admitted to the Department of Dermatology of the First Hospital of Shanxi Medical University were selected by purposive sampling method for semi-structured interviews. Content analysis was used to analyze the data, drawing on theory of "timing it right" to depict a patient journey map that was reviewed and improved by the research team and patients.Results:Patient journey map was developed and condensed into four themes of experiences and challenges from pre-diagnosis to adaptation, complex emotional experiences, experiential pain points at each stage of the diagnosis and treatment, and opportunity points to improve the experience and quality of the diagnosis and treatment.Conclusions:At different stages of disease progression, the diagnosis and treatment needs of adults with moderate-to-severe psoriasis are characterized by dynamic evolution and multidimensional integration. The journey map can accurately identify patients' differentiated experiences and needs, and can provide a reference for healthcare professionals and policy makers to optimize patients' diagnostic and treatment experiences and focus on patients' health management.

ObjectiveTo understand the epidemiological characteristics of syphilis in Ruian City, so as to provide a scientific basis for developing syphilis prevention and control strategies. MethodsDescriptive epidemiological methods were used to investigate the infection status of syphilis cases reported among the permanent resident population in Ruian City from 2014 to 2023, and its epidemiological characteristics were analyzed. ResultsA total of 5 482 syphilis cases were reported in Ruian from 2014 to 2023, with a male-female ratio of 1∶1.47. The average annual incidence rate from 2014 to 2023 was 37.51/100 000, with a declining trend in the incidence rate among females (APC=-4.78%, P<0.05). The incidence of primary and secondary syphilis decreased, while the proportion of latent syphilis cases increased. No cases of congenital syphilis were reported from 2017 to 2023. The majority of cases (60.29%) were reported among individuals aged 20‒<50 years. In terms of occupation, the highest proportion was found among housekeepers and the unemployed, constituting 42.70% the total cases. Dermatology departments reported the most cases in medical institutions, accounting for 33.38% of the total cases. The most likely route of infection was heterosexual transmission, accounting for 85.84%. ConclusionThe incidence of syphilis among females in Ruian City shows a declining trend, but the overall situation remains concerning. Prevention and control efforts should be intensified among key groups and high-risk populations, along with an enhancement on health education to curb the spread of syphilis.