Objective To explore the potential categories of exercise perception in elderly hip arthroplasty(HA)patients,analyze the prediction factors of different categories,and provide references for clinical nursing.Methods A convenience sampling method was used to select elderly HA patients treated in 6 orthopedic wards of 2 tertiary A hospitals in Guilin from October 2024 to February 2025.The general data questionnaire,Exercise Benefits and Barriers Perception Scale for Hip/Knee Throplasty Patients,Tampa Scale of Kinesiophobia,the 5-Factor Modified Frailty Index,and Self-Efficacy for Rehabilitation Outcome Scale were used for investigation.Latent profile analysis was used to identify the potential categories of exercise perception of elderly HA patients,and decision tree model was used to explore the core predictive factors of different profile.Results 222 valid questionnaires were collected,with an effective response rate of 96.52％.A total of 222 elderly HA patients were divided into 3 profiles:high benefit-low barrier group(19.82％),low benefit-high barrier group(22.07％),and mild barrier group(58.11％).Frailty,kinesophobia,rehabilitation self-efficacy,residence,educational level and daily exercise were significant predictors of latent profiles(P＜0.05),and the frailty was located in the root node of the decision tree model.Conclusion The level of exercise perception in elderly HA patients needs to be improved,and shows population heterogeneity.Medical staff should prioritize interventions for low benefit-high barrier and mild-barrier groups,implementing targeted strategies based on profile characteristics and predictive factors to improve their exercise perception.

Objective To investigate the benefits and challenges of the reform in evidence-based obstetric nursing practice in clinical nursing,therefore to provide a reference for initiating and keeping the reform in evidence-based nursing practices.Methods A method of descriptive phenomenological research was conducted between January and February 2024 in our hospital on 10 selected clinical nurses by purposive sampling.An outline for interviews was developed based on literature review and expert interviews,followed by semi-structured interviews with the nurses.Core themes were extracted with Colaizzi's seven-step analysis.Results Three themes and 12 sub-themes were summarised in this study.The 3 core themes that were identified among the nurses included:acceptance of evidence-based nursing practice reform(with 3 domains regarding knowledge,decision-making and action),perception of the benefits of the reform in evidence-based nursing practice(with 5 domains regarding the professionalism and scientific nature of clinical nursing,improvement of patient experience and nursing outcomes,enhancement of nursing quality and safety,promotion of innovation in on-the-job training and education,and facilitation of collaboration within the nursing team),and perception in the challenges of reform in evidence-based nursing practice(with 4 domains regarding the stress and challenges,doubts and resistance,poor cooperation between doctors and nurses,and risks in clinical decision-making).Conclusion The acceptance regarding reform in evidence-based nursing practice varies among the nurses.It is necessary to promote the acceptance,provide the targeted guidance and intervene in the factors of benefits and challenges among the nurses,hence to facilitate a smooth implementation of the reform in evidence-based nursing practice.

Objective To explore the value of multimodal MRI combined with digital breast 3D tomography(DBT)in evaluating lymphatic vascular infiltration(LVI)in patients with invasive breast cancer-non special type(IBC-NST)mass type.Methods A total of 102 patients with IBC-NST mass type were divided into LVI group and non LVI group based on whether LVI occurred.The influencing factors of LVI were analyzed by using multivariate logistic regression.Clinical value of multimodal MRI combined with DBT in evaluating LVI in patients with IBC-NST mass type were analyzed by receiver operating characteristic(ROC)curve.Results Multivariate logistic analysis showed that apparent diffusion coefficient(ADC)value,maximum tumor diameter and peritumoral edema were independent risk factors for LVI in IBC-NST mass type(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of ADC value,maximum tumor diameter and peritumoral edema alone and in combination for LVI in patients with IBC-NST mass type were 0.749,0.655,0.638 and 0.791,respectively.Conclusion ADC value and its combined application model have high efficacy in evaluating LVI in patients with IBC-NST mass type.

Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.

Objective To explore the potential categories of exercise perception in elderly hip arthroplasty(HA)patients,analyze the prediction factors of different categories,and provide references for clinical nursing.Methods A convenience sampling method was used to select elderly HA patients treated in 6 orthopedic wards of 2 tertiary A hospitals in Guilin from October 2024 to February 2025.The general data questionnaire,Exercise Benefits and Barriers Perception Scale for Hip/Knee Throplasty Patients,Tampa Scale of Kinesiophobia,the 5-Factor Modified Frailty Index,and Self-Efficacy for Rehabilitation Outcome Scale were used for investigation.Latent profile analysis was used to identify the potential categories of exercise perception of elderly HA patients,and decision tree model was used to explore the core predictive factors of different profile.Results 222 valid questionnaires were collected,with an effective response rate of 96.52％.A total of 222 elderly HA patients were divided into 3 profiles:high benefit-low barrier group(19.82％),low benefit-high barrier group(22.07％),and mild barrier group(58.11％).Frailty,kinesophobia,rehabilitation self-efficacy,residence,educational level and daily exercise were significant predictors of latent profiles(P＜0.05),and the frailty was located in the root node of the decision tree model.Conclusion The level of exercise perception in elderly HA patients needs to be improved,and shows population heterogeneity.Medical staff should prioritize interventions for low benefit-high barrier and mild-barrier groups,implementing targeted strategies based on profile characteristics and predictive factors to improve their exercise perception.

Objective To explore the value of multimodal MRI combined with digital breast 3D tomography(DBT)in evaluating lymphatic vascular infiltration(LVI)in patients with invasive breast cancer-non special type(IBC-NST)mass type.Methods A total of 102 patients with IBC-NST mass type were divided into LVI group and non LVI group based on whether LVI occurred.The influencing factors of LVI were analyzed by using multivariate logistic regression.Clinical value of multimodal MRI combined with DBT in evaluating LVI in patients with IBC-NST mass type were analyzed by receiver operating characteristic(ROC)curve.Results Multivariate logistic analysis showed that apparent diffusion coefficient(ADC)value,maximum tumor diameter and peritumoral edema were independent risk factors for LVI in IBC-NST mass type(P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of ADC value,maximum tumor diameter and peritumoral edema alone and in combination for LVI in patients with IBC-NST mass type were 0.749,0.655,0.638 and 0.791,respectively.Conclusion ADC value and its combined application model have high efficacy in evaluating LVI in patients with IBC-NST mass type.

Metabolic-bariatric surgery(MBS)has become an important treatment for pathological obesity and metabolic diseases.However,common postoperative nutritional complications—such as protein-energy malnutrition,iron deficiency anemia,and vitamin B12 deficiency—significantly affect patients' long-term prognosis.Traditional nutritional management models rely on static monitoring and standardized supplementation,which are insufficient to address individual variability and dynamic postoperative changes.Artificial intelligence(AI),through integrating multimodal data(such as biochemical indicators,imaging information,and wearable device monitoring)and intelligent modeling,offers new approaches for dynamic monitoring,risk prediction,and personalized intervention.Based on literature from 2017 to 2025,this article systematically evaluates the application of AI in perioperative nutritional management for MBS,covering key technologies including machine learning,deep learning,and natural language processing.It also analyzes current challenges in clinical translation,such as data fragmentation,lack of model interpretability,and limited long-term validation.In the future,enhanced multi-center collaboration,the development of standardized databases,and explainable models will be essential to advancing nutritional management in MBS from empirical practice to precision medicine.

Objective To investigate the benefits and challenges of the reform in evidence-based obstetric nursing practice in clinical nursing,therefore to provide a reference for initiating and keeping the reform in evidence-based nursing practices.Methods A method of descriptive phenomenological research was conducted between January and February 2024 in our hospital on 10 selected clinical nurses by purposive sampling.An outline for interviews was developed based on literature review and expert interviews,followed by semi-structured interviews with the nurses.Core themes were extracted with Colaizzi's seven-step analysis.Results Three themes and 12 sub-themes were summarised in this study.The 3 core themes that were identified among the nurses included:acceptance of evidence-based nursing practice reform(with 3 domains regarding knowledge,decision-making and action),perception of the benefits of the reform in evidence-based nursing practice(with 5 domains regarding the professionalism and scientific nature of clinical nursing,improvement of patient experience and nursing outcomes,enhancement of nursing quality and safety,promotion of innovation in on-the-job training and education,and facilitation of collaboration within the nursing team),and perception in the challenges of reform in evidence-based nursing practice(with 4 domains regarding the stress and challenges,doubts and resistance,poor cooperation between doctors and nurses,and risks in clinical decision-making).Conclusion The acceptance regarding reform in evidence-based nursing practice varies among the nurses.It is necessary to promote the acceptance,provide the targeted guidance and intervene in the factors of benefits and challenges among the nurses,hence to facilitate a smooth implementation of the reform in evidence-based nursing practice.

Objective To describe and analyze the current situation of the four same type of departments in an hospital in order to provide a reference for the construction of"the most cost-effective medical care".Methods The CN-DRG were used to automatically group and compare the medical capacity and inpatient service efficiency of the hospital department groups,and in the refined analysis,one DRG disease group of in situ cancer and non-malignant disease loss uterine surgery and single species uterine fibroid was included,and the Kruskal-Wallis H test was used to further compare the differences in length of stay and various costs.Results It included a total of 22630 patients,whose weights varied from a maximum of 3948.62 in diagnostic group 1 to a minimum of 133.55 in diagnostic group 11.The cost consumption indexes ranged from a minimum of 0.89 in diagnostic group 5 to a maximum of 1.04 in diagnostic group 2,while the time consumption indexes ranged from a minimum of 0.48 in diagnostic group 11 to a maximum of 0.81 in diagnostic group 5.When comparing the diagnostic groups,there were statistically significant differences(P＜0.05)in hospitalization days,total cost,diagnostic cost,therapeutic cost,and cost of supplies.Specifically,when comparing the diagnostic and treatment groups within departments,the differences in hospitalization days and all costs were statistically significant(P＜0.05)in departments 1 and 2,the differences in diagnostic cost,therapeutic cost,and cost of supplies were statistically significant(P＜0.05)in department 3.Conclusion There exists a notable disparity in the extent to which each diagnostic and treatment group contributes to the hospital's service capacity and cost variability.Consequently,it is necessary to reasonably evaluate the length of hospital stay and medical cost of patients to achieve the highest cost-effective medical treatment.

Covalently closed circular DNA(cccDNA)in hepatocytes is the replication intermediate of hepa-titis B virus(HBV),which is closely related to HBV replication.Meanwhile,it is the transcriptional template of pregenomic RNA(pgRNA),and most of the HBV RNA in serum is derived from unreversed transcribed pgRNA.In recent years,many studies have demonstrated that HBV RNA has an important role in monitoring disease progression and predicting the prognosis of chronic HBV-infected patients,and is a potential biomarker of chronic viral hepatitis B.This article provides an overview of the molecular characterisation of HBV RNA,detection methods and research progress in clinical applications.