Objective To investigate the current nursing practice of nurses specializing in nutritional support in ICUs and analyze their influencing factors in order to improve the training program and promote the development of standardized and precise nursing practice.Methods Convenience sampling method was used to select nutritional support nurses in ICUs in 29 provinces(autonomous regions and municipalities)from October 2023 to March 2025,and the self-developed questionnaire on nursing practice behaviors of nutritional support nurses in ICUs was used to conduct the survey.SPSS 21.0 software was used for descriptive analysis and multiple linear regression analysis.Results A total of 774 questionnaires were distributed,and 766 valid questionnaires were collected,with a recovery rate of 98.97％,and the score of the questionnaire on nursing practice behaviors of nurses specializing in nutritional support in ICU was(90.41±1 1.82).The results of multiple linear regression analysis showed that gender,presence of a nutritional support nursing team in the hospital,a standardized process of nutritional support nursing in the department,clear positional responsibilities of the nutritional support nursing team members,and inclusion of the nutritional support status of the patients in the quality management of the department were the factors influencing the nursing practice behavior scores of the nurses specializing in nutritional support in ICUs(P＜0.05).Conclusion Nurses in the ICUs have a high level of nursing practice behavior,but there is a need for further standardization in parenteral nutrition infusion and monitoring of complications.ICU nursing managers should formulate improvement strategies to address the weaknesses of clinical practice,strengthen nutritional support training,and improve the quality management program,and further improve the practical ability of nurses specializing in nutritional support.

Objective To observe the value of three-dimensional speckle tracking imaging(3D-STI)in evaluation on right ventricle(RV)function for predicting adverse events in patients with unstable angina(UA)after percutaneous coronary intervention(PCI).Methods A total of 155 UA patients who underwent both 3D-STI and conventional echocardiography and planned to accept PCI were prospectively enrolled and divided into adverse event group(n=37)and control group(n=118)based on the occurrence of adverse events after PCI or not.Clinical data and echocardiographic parameters were compared between groups,and new binary variables were generated according to the optimal cut-off values showed by the maximum Youden index of receiver operating characteristic curves of 3D-STI parameters being statistically different between groups.Then the independent predictors of adverse events among UA patients after PCI were analyzed,a combined model was constructed,and its predictive value was assessed.Results In adverse event group,the left ventricular end diastolic volume(LVEDV)was higher,while the left ventricular ejection fraction(LVEF),right ventricular free wall longitudinal strain(RVFWLS)and right ventricular global longitudinal strain(RVGLS)were all lower than those in control group(all P＜0.05).The optimal cut-off values for distinguishing adverse event or not was 110 ml for LVEDV,19.05%for RVFWLS and 19.75%for RVGLS,respectively,and all the 3 generated binary variables were independent predictors for adverse events of UA patients after PCI(all P＜0.05).The area under the curve of combined model for predicting adverse events in UA patients after PCI was 0.864.Conclusion RVFWLS＜19.05%and RVGLS＜19.75%obtained with 3D-STI,as well as LVEDV＞110 ml with conventional echocardiography were all independent predictors of adverse events in UA patients after PCI.

Objective:To describe the current status and research methods of external validation studies of risk prediction models conducted by nursing scholars in China.Methods:Using the search terms "predictive model, external validation, nursing, risk prediction, external validation, nursing" this study searched eight databases (China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Data, VIP, Embase, PubMed, CINAHL, and Web of Science) for studies published up to June 2023. Literature was imported into EndNote software for organization and deduplication. Two researchers independently conducted initial and secondary screenings by reading the titles, abstracts, and full texts of studies according to inclusion and exclusion criteria. Descriptive analysis was conducted on the included studies under the framework of the Joanna Briggs Institute (JBI) scoping review methodology.Results:A total of 70 studies (15 dissertations and 55 journal articles), primarily published from 2021 to 2023, were included. Among 246 risk prediction models constructed by nurses, 28.5% (70/246) underwent external validation. The models focused on issues such as infection, cognitive impairment, skin injury, thrombosis, and malnutrition. Most studies were conducted in single-center settings (71.4%, 50/70), with temporal validation being the most common type (67.1%, 47/70). The majority of models were presented as nomograms, though some studies had methodological issues in validation.Conclusions:In recent years, new prediction models for specific diseases or endpoints have continued to emerge from nursing research in China, yet few have undergone external validation for clinical application, and the quality and methods of validation require improvement. Future researchers should standardize and strengthen the external validation and optimization of risk prediction models, focusing on clinical applicability to enhance the practical value of these models.

Abstract Modern western medicine typically focuses on treating specific symptoms or diseases, and traditional Chinese medicine (TCM) emphasizes the interconnections of the body’s various systems under external environment and takes a holistic approach to preventing and treating diseases. Phenomics was initially introduced to the field of TCM in 2008 as a new discipline that studies the laws of integrated and dynamic changes of human clinical phenomes under the scope of the theories and practices of TCM based on phenomics. While TCM Phenomics 1.0 has initially established a clinical phenomic system centered on Zhenghou (a TCM definition of clinical phenome), bottlenecks remain in data standardization, mechanistic interpretation, and precision intervention. Here, we systematically elaborates on the theoretical foundations, technical pathways, and future challenges of integrating digital medicine with TCM phenomics under the framework of “TCM phenomics 2.0”, which is supported by digital medicine technologies such as artificial intelligence, wearable devices, medical digital twins, and multi-omics integration. This framework aims to construct a closed-loop system of “Zhenghou–Phenome–Mechanism–Intervention” and to enable the digitization, standardization, and precision of disease diagnosis and treatment. The integration of digital medicine and TCM phenomics not only promotes the modernization and scientific transformation of TCM theory and practice but also offers new paradigms for precision medicine. In practice, digital tools facilitate multi-source clinical data acquisition and standardization, while AI and big data algorithms help reveal the correlations between clinical Zhenghou phenomes and molecular mechanisms, thereby improving scientific rigor in diagnosis, efficacy evaluation, and personalized intervention. Nevertheless, challenges persist, including data quality and standardization issues, shortage of interdisciplinary talents, and insufficiency of ethical and legal regulations. Future development requires establishing national data-sharing platforms, strengthening international collaboration, fostering interdisciplinary professionals, and improving ethical and legal frameworks. Ultimately, this approach seeks to build a new disease identification and classification system centered on phenomes and to achieve the inheritance, innovation, and modernization of TCM diagnostic and therapeutic patterns.

Objective To observe and analyze the clinical efficacy and safety of carvedilol combined with dual-wavelength pulsed dye laser in the treatment of rosacea.Methods A retrospective analysis was per-formed on 50 patients with rosacea mainly characterized by flushing,erythema,and telangiectasia who were treated with dual-wavelength pulsed dye laser in the Department of Dermatology of this hospital from October 2023 to October 2024.They were divided into the observation group and the control group according to differ-ent treatment methods,with 25 cases in each group.The control group received dual-wavelength pulsed dye la-ser treatment,while the observation group received carvedilol combined with dual-wavelength pulsed dye laser treatment.The clinical erythema assessment(CEA)scale and physician global assessment(PGA)were used to evaluate the efficacy of the two groups,and the occurrence of adverse reactions was recorded.Results After treatment,the CEA scores of both groups were lower than those before treatment.The CEA score of the ob-servation group was lower than that of the control group,and the PGA score was higher than that of the con-trol group,with statistically significant differences(P<0.05).No singnifcant adverse reactions occurred in ei-ther group.Conclusion Carvedilol combined with dual-wavelength pulsed dye laser is more effective than sin-gle dual-wavelength pulsed dye laser in the treatment of rosacea,and the treatment method is safe.

Objective To investigate the current nursing practice of nurses specializing in nutritional support in ICUs and analyze their influencing factors in order to improve the training program and promote the development of standardized and precise nursing practice.Methods Convenience sampling method was used to select nutritional support nurses in ICUs in 29 provinces(autonomous regions and municipalities)from October 2023 to March 2025,and the self-developed questionnaire on nursing practice behaviors of nutritional support nurses in ICUs was used to conduct the survey.SPSS 21.0 software was used for descriptive analysis and multiple linear regression analysis.Results A total of 774 questionnaires were distributed,and 766 valid questionnaires were collected,with a recovery rate of 98.97％,and the score of the questionnaire on nursing practice behaviors of nurses specializing in nutritional support in ICU was(90.41±1 1.82).The results of multiple linear regression analysis showed that gender,presence of a nutritional support nursing team in the hospital,a standardized process of nutritional support nursing in the department,clear positional responsibilities of the nutritional support nursing team members,and inclusion of the nutritional support status of the patients in the quality management of the department were the factors influencing the nursing practice behavior scores of the nurses specializing in nutritional support in ICUs(P＜0.05).Conclusion Nurses in the ICUs have a high level of nursing practice behavior,but there is a need for further standardization in parenteral nutrition infusion and monitoring of complications.ICU nursing managers should formulate improvement strategies to address the weaknesses of clinical practice,strengthen nutritional support training,and improve the quality management program,and further improve the practical ability of nurses specializing in nutritional support.

Objective:To describe the current status and research methods of external validation studies of risk prediction models conducted by nursing scholars in China.Methods:Using the search terms "predictive model, external validation, nursing, risk prediction, external validation, nursing" this study searched eight databases (China Biology Medicine disc, China National Knowledge Infrastructure, Wanfang Data, VIP, Embase, PubMed, CINAHL, and Web of Science) for studies published up to June 2023. Literature was imported into EndNote software for organization and deduplication. Two researchers independently conducted initial and secondary screenings by reading the titles, abstracts, and full texts of studies according to inclusion and exclusion criteria. Descriptive analysis was conducted on the included studies under the framework of the Joanna Briggs Institute (JBI) scoping review methodology.Results:A total of 70 studies (15 dissertations and 55 journal articles), primarily published from 2021 to 2023, were included. Among 246 risk prediction models constructed by nurses, 28.5% (70/246) underwent external validation. The models focused on issues such as infection, cognitive impairment, skin injury, thrombosis, and malnutrition. Most studies were conducted in single-center settings (71.4%, 50/70), with temporal validation being the most common type (67.1%, 47/70). The majority of models were presented as nomograms, though some studies had methodological issues in validation.Conclusions:In recent years, new prediction models for specific diseases or endpoints have continued to emerge from nursing research in China, yet few have undergone external validation for clinical application, and the quality and methods of validation require improvement. Future researchers should standardize and strengthen the external validation and optimization of risk prediction models, focusing on clinical applicability to enhance the practical value of these models.

Objective To observe the value of three-dimensional speckle tracking imaging(3D-STI)in evaluation on right ventricle(RV)function for predicting adverse events in patients with unstable angina(UA)after percutaneous coronary intervention(PCI).Methods A total of 155 UA patients who underwent both 3D-STI and conventional echocardiography and planned to accept PCI were prospectively enrolled and divided into adverse event group(n=37)and control group(n=118)based on the occurrence of adverse events after PCI or not.Clinical data and echocardiographic parameters were compared between groups,and new binary variables were generated according to the optimal cut-off values showed by the maximum Youden index of receiver operating characteristic curves of 3D-STI parameters being statistically different between groups.Then the independent predictors of adverse events among UA patients after PCI were analyzed,a combined model was constructed,and its predictive value was assessed.Results In adverse event group,the left ventricular end diastolic volume(LVEDV)was higher,while the left ventricular ejection fraction(LVEF),right ventricular free wall longitudinal strain(RVFWLS)and right ventricular global longitudinal strain(RVGLS)were all lower than those in control group(all P＜0.05).The optimal cut-off values for distinguishing adverse event or not was 110 ml for LVEDV,19.05%for RVFWLS and 19.75%for RVGLS,respectively,and all the 3 generated binary variables were independent predictors for adverse events of UA patients after PCI(all P＜0.05).The area under the curve of combined model for predicting adverse events in UA patients after PCI was 0.864.Conclusion RVFWLS＜19.05%and RVGLS＜19.75%obtained with 3D-STI,as well as LVEDV＞110 ml with conventional echocardiography were all independent predictors of adverse events in UA patients after PCI.

This article reports a patient with typical Cushing syndrome′s manifestations and extremely low plasma cortisol level, indicating glucocorticoid hypersensitivity syndrome. After treatment with the glucocorticoid receptor antagonist mifepristone, the patient′s Cushing symptoms were significantly relieved, and cortisol levels returned to normal. The aim of this report is to enhance clinical awareness among physicians regarding glucocorticoid hypersensitivity syndrome.

AIM:To investigate the effect of As-tragaloside Ⅳ(As-Ⅳ)on low-glucose mediated tu-mor immunosuppression microenvironment and its molecular mechanism.METHODS:MTT assay was used to detect the effect of As-Ⅳ on the prolifera-tion of CD4+T cells in low-glucose microenviron-ment in vitro.By ELISA experiment and qPCR detec-tion of interleukin 2(IL-2),interferon-gamma(IFN-γ),CD40L and transforming growth factor beta 1(TGF-β1)level;Western blot was used to detect the expression of glucose transporter 1(Glut-1),key glycolytic enzymes(HK,PFK1 and PK),AKT/mTOR signaling pathway and AKT/GSK3β signaling pathway in CD4+T cells.Molecular docking and AKT inhibitor experiments were used to verify the re-sults.B16-PKM2-OE was used to establish a low-glucose tumor microenvironment animal model for verification.RESULTS:MTT assay showed that As-Ⅳ promoted the proliferation of CD4+T cells in low-glucose microenvironment(P＜0.05).The results of ELISA and qPCR experiments showed that As-Ⅳcould increase the levels of IL-2,IFN-γ and CD40L,and reduce the level of TGF-β1 in tumor tissues(P＜0.05).Western blot results showed that As-Ⅳ pro-moted Glut-1 protein expression on the surface of CD4+T cells,up-regulated the expression of glycoly-sis key enzymes,and activated AKT/mTOR and AKT/GSK-3β signaling in a concentration-dependent manner.Molecular docking and join AKT inhibitors As the experiment results indicate-Ⅳ activated AKT/mTOR signaling and AKT/GSK-3β signal;Animal experiments showed that As-Ⅳ exerted anti-tumor effect by activating the proliferation and activation of CD4+T cells in low-glucose microenvironment.CONCLUSION:As-Ⅳ promote sugar by activation of AKT/Glut signal micro environment of CD4+T cell proliferation and activation play a role of anti-tu-mor.