Purpose To explore the value of contrast-enhanced CT habitat imaging(HI)in preoperative non-invasive visualization for predicting pathological grading of clear cell renal carcinoma(ccRCC).Materials and Methods A retrospective analysis was conducted on enhanced CT images and clinical data from 240 patients with pathologically confirmed ccRCC at Xijing Hospital,the Fourth Military Medical University from January 2020 to December 2023.All patients were randomly divided into training and test sets at a 7:3 ratio and classified into low-grade group(International Society of Urological Pathology Ⅰ-Ⅱ)and high-grade group(International Society of Urological Pathology Ⅲ-Ⅳ)based on postoperative pathology.Using wash-in and wash-out parametric maps,the tumors were segmented into three perfusion-based habitat subregions(low,medium and high)via K-means clustering,and the volume fraction of each subregion was calculated.Predictive factors were selected from habitat features and clinical variables(including sex,age,tumor size,etc.)using Logistic regression.Three models were constructed:a clinical model,a habitat imaging model and a combined clinical-habitat model.Model performance was evaluated using receiver operating characteristic curve,calibration curve and decision curve analysis.Results Habitat 3 exhibited higher wash-in and wash-out gradients compared to Habitats 1 and 2,indicating hyper perfusion.Its proportion was significantly higher in the low-grade group than in the high-grade group(Z=-7.71,-5.11,both P<0.01).Multivariate Logistic regression identified hypertension,maximum tumor diameter and platelet-to-lymphocyte ratio as independent risk factors for high-grade ccRCC,while the proportion of Habitat 3 was a protective factor(OR=0.297,95％CI 0.184-0.479).The combined clinical-habitat model demonstrated the highest predictive performance[area under the curve(AUC)=0.938],significantly outperforming the clinical model(AUC=0.801,Z=-3.832,P<0.01)and the habitat imaging model(AUC=0.895,Z=-2.157,P=0.031).Conclusion The clinical-habitat imaging model achieves the highest predictive performance for ccRCC pathological grading.Contrast-enhanced CT habitat imaging provides significant incremental value in predicting ccRCC pathological grading,showing potential to guide precision medicine in clinical practice.

Objective:To analyze the effects of Mulligan technique combined with isokinetic exercise training (IET) on isokinetic muscle strength and neuromuscular control ability in patients with knee osteoarthritis (KOA).Methods:A retrospective case-control study was conducted. A total of 49 patients with KOA who underwent IET at Honghui Hospital Affiliated to Xi'an Jiaotong University from January 2021 to January 2022 were included in the control group. An additional 49 patients with KOA who received Mulligan technique and IET at the same hospital from June 2022 to June 2023 were included in the observation group. Both groups were treated for 8 successive weeks. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, Lysholm score, proprioception metrics [including average track error (ATE) and test time execution (TTE)], isokinetic muscle strength [peak torque (PT) and average power (AP) for flexors and extensors at 60°/s, 90°/s, and 120°/s)]were compared between the two groups before and after 4 and 8 weeks of intervention. Additionally, Visual Analog Scale score was compared between the two groups at baseline and after 8 weeks of intervention.Results:There was no statistically significant difference in WOMAC score, Lysholm score, or PT and AP levels for flexor and extensor muscles at 60°/s, 120°/s, and 180°/s between the two groups before intervention (all P > 0.05). After 4 and 8 weeks of intervention, the levels of PT and AP for both flexors and extensors at 60°/s, 120°/s, and 180°/s, as well as the Lysholm scores, were significantly higher in the observation group compared with the control group [PT level: t = -0.10, -3.03, -3.85, -0.35, -3.62, -3.95, -0.27, -5.51, -6.52, -1.13, -2.74, -3.68, -0.09, -2.91, -5.79, -0.13, -4.66, -6.05; AP level: t = -0.23, -4.77, -6.15, 0.01, -3.10, -3.75, -0.13, -3.73, -3.44, 0.16, -2.09, -4.05, -0.17, -3.71, -3.51, -0.27, -3.26, -3.69; Lysholm score: t = -7.17, -6.44; all P < 0.05]. After 4 and 8 weeks of intervention, the WOMAC score, ATE, and TTE in the observation group were significantly lower than those in the control group [WOMAC score: t = 3.68, 0.64; ATE level: t = 3.88, 4.13; TTE level: t = 4.86, 4.60; all P < 0.05]. After 8 weeks of intervention, both groups had lower Visual Analog Scale scores compared with their scores before the intervention (U control group = -8.75, U observation group = -8.63), with the observation group showing significantly lower scores than the control group ( U = -5.95, P < 0.001). Conclusions:The Mulligan technique combined with IET can effectively alleviate knee joint pain in patients with KOA, promote the recovery of knee joint function, enhance proprioceptive recovery, and improve neuromuscular control abilities.

Objective:To evaluate the application value of interactive learning in enhancing the diagnosis of breast cancer by residents in the department of radiology through training based on the interpretation of breast magnetic resonance imaging (MRI) features by the breast imaging reporting and data system (BI-RADS).Methods:A total of 23 trainees completed BI-RADS standardized reports of 250 cases. These cases were divided into a pre-training group (Group 1) and post-training groups (initial training, Groups 2-4; advanced training, Groups 5-6), forming a total of six groups. The efficacy of interactive learning through course lectures and case-based practice in enhancing their ability in breast cancer diagnosis was analyzed. All trainees generated reports based on the BI-RADS scoring criteria. Interpretation agreement rates, evaluation time, and confidence levels were recorded. SPSS 25.0 was used for independent samples t test, chi-square test, and rank-sum test. Results:During the initial stage of training, the agreement rate of 150 cases reached 80.00%, which was recommended as the endpoint for completion of the initial learning phase. A significant difference existed between Group 4 and Group 1 ( P=0.012) in agreement rate. Statistically significant differences were noted in evaluation time for Groups 5 and 6 before and after advanced training ( P=0.001 and 0.007, respectively). A significant difference in confidence level was observed for Group 5 ( P=0.005). Conclusions:Interactive training based on BI-RADS standardized reporting can improve the diagnosis of breast diseases by residents in the department of radiology, particularly for enhancing the quality of reports for mass-like enhancement breast diseases.

The aging trend is intensifying currently,but there is still a lack of standardized diagnosis and treat-ment schemes for severe infections in elderly people.This paper focuses on the recommendations for immune-related clinical diagnosis and treatment routes as well as the idea of risk stratified diagnosis and treatment for elderly peo-ple,aiming to effectively prevent infectious diseases in elderly people and perform stratified management through systematic and scientific means of immune function monitoring and regulation,so as to enhance the standardized level of diagnosis and treatment as well as clinical treatment effect of infection in elderly people.

Objective:To evaluate the effectiveness of a patient-family-centered visiting model in improving caregivers'beliefs and attitudes toward visiting patients with mental disorders.Methods:A total of 140 caregivers of inpatients diagnosed with mental disorders according to the ICD-10 were randomly assigned to an intervention group(n=71)and a control group(n=69).The intervention group participated a patient-family-centered visiting model for 4 weeks,while the control group followed routine visitation.Caregivers' beliefs and attitudes were assessed using the Beliefs and Attitudes toward Visitation in ICU Questionnaire(BAVIQ)was used to assess the improvement in caregivers' beliefs and attitudes before the intervention and at the end of the 1st,2nd,3rd,and 4th weeks after the intervention.Results:Repeated measures ANOVA showed that the belief score and attitude score of the BAVIQ questionnaire in the intervention group were significantly higher than those in the control group(Ps＜0.05)across time points.Chi-square test further confirmed that the improvement in the intervention group were significantly bet-ter than in the control group(Ps＜0.05).Conclusion:The patient-family-centered visiting model is more effective than routine visiting model in improving the caregivers' visiting beliefs and attitudes in mental health settings.

Objective:To explore the dual mediating effects of health belief and depression among health knowledge, social support, and health behaviors based on the capacity, opportunity, motivation-behavior (COM-B) model, and analyze the influencing factors of health behaviors in patients with ischemic stroke.Methods:This multi-center cluster sampling research recruited ischemic stroke patients ( n=1 696) who were hospitalized in neurology departments of five tertiary hospitals in Henan Province from October 2023 to October 2024. A cross-sectional investigation was conducted using the general information questionnaire, social support rating scale (SSRS), stroke prevention knowledge questionnaire(SPKQ), short form health belief model scale(SF-HBMS), health promoting lifestyle profile-Ⅱ (HPLP-Ⅱ), and patient health questionnaire-9(PHQ-9) to ultimately reveal the pathways and effect sizes among variables. Partial correlation analysis and multiple linear stepwise regression analysis were conducted to examine the relationships among social support, health knowledge, health belief, health behaviors, and depression in stroke patients by SPSS 26.0 software. Structural equation modeling was constructed using AMOS 28.0 software, and the mediating effect was tested using the Bootstrap method. Results:The scores of social support, health knowledge, health belief, and health behaviors among ischemic stroke patients were (37.46±9.94), (26.56±6.84), (75.62±12.62) and (130.79±26.27), respectively. The score of depression was 5.00 (2.00, 8.00). Health behaviors were positively correlated with health knowledge, social support, and health belief( r=0.333, 0.246, 0.267, all P<0.05), while negatively correlated with depression ( r=-0.146, P<0.05). Multiple linear stepwise regression analysis showed that health knowledge, social support, health belief, and depression were all influencing factors of health behaviors in ischemic stroke patients (all P<0.05). Health belief (effect value=0.068, 95% CI=0.048-0.093) and depression (effect value=0.009, 95% CI=0.003-0.018) both played partial mediating roles between health knowledge and health behaviors, accounting for 17.3%(0.077/0.446) of the total effect. Meanwhile, health belief (effect value=0.045, 95% CI=0.029-0.063) and depression (effect value=0.016, 95% CI=0.008-0.027) both played partial mediating roles between social support and health behaviors, accounting for 26.5%(0.061/0.230) of the total effect. Conclusion:Health knowledge and social support can not only directly influence health behaviors but also indirectly affect them through health belief and depression in patients with ischemic stroke.

Objective:To investigate the predictive value of refeeding syndrome (RFS) and its influencing factors for 30-day intensive care unit (ICU) readmission in critically ill patients.Methods:A prospective cohort study was conducted. Critically ill patients admitted to the department of critical care medicine, department of respiratory and critical care medicine, and department of neurology at Tianjin Medical University General Hospital from January to April in 2025 were enrolled. Patients were assessed for RFS according to the American Society for Parenteral and Enteral Nutrition (ASPEN) criteria. General information within 24 hours of ICU admission was collected via the electronic medical record system. Treatment details and 30-day ICU readmission status were dynamically recorded. Participants were divided into readmission and non-readmission groups based on whether ICU readmission occurred within 30 days. Intergroup comparisons were performed to identify differences. Multivariate Logistic regression was used to analyze the relationship between RFS and its influencing factors with 30-day ICU readmission. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of risk factors.Results:A total of 196 critically ill patients were enrolled, among whom 25 (12.76%) were readmitted to ICU within 30 days and 171 (87.24%) were not. Significant differences were observed in the readmission group compared with the non-readmission group, including significantly higher rates of nasogastric decompression, higher acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score, a higher incidence of RFS, and a longer duration of nasogastric decompression. Multivariate Logistic regression analysis showed that RFS was an independent risk factor for 30-day ICU readmission [odds ratio ( OR) = 5.756, 95% confidence interval (95% CI) was 1.603-20.670, P = 0.007]. APACHEⅡ score showed a positive correlation trend with 30-day ICU readmission ( OR = 1.057, 95% CI was 0.991-1.127, P = 0.092). ROC curve analysis showed that the combined prediction model incorporating RFS and APACHEⅡ score had an area under the ROC curve (AUC) of 0.766 (95% CI was 0.668-0.864), with a sensitivity of 88.0% and a specificity of 62.0%, which was significantly superior to a single indicator (the AUC of RFS and APACHEⅡ score was 0.639 and 0.624, respectively). Conclusions:RFS significantly increases the risk of 30-day ICU readmission in critically ill patients. A combined model incorporating RFS and APACHEⅡ score demonstrates good predictive efficacy for 30-day ICU readmission in critically ill patients.

The aging trend is intensifying currently,but there is still a lack of standardized diagnosis and treat-ment schemes for severe infections in elderly people.This paper focuses on the recommendations for immune-related clinical diagnosis and treatment routes as well as the idea of risk stratified diagnosis and treatment for elderly peo-ple,aiming to effectively prevent infectious diseases in elderly people and perform stratified management through systematic and scientific means of immune function monitoring and regulation,so as to enhance the standardized level of diagnosis and treatment as well as clinical treatment effect of infection in elderly people.

Objective:To investigate the current status of convex baseplate selection and use among clinical nurses.Methods:A convenience sampling method was employed to survey 1 873 nurses from 180 hospitals across China between November and December 2024 using a general information questionnaire and a self-designed questionnaire on convex baseplate selection and use. A total of 1 873 questionnaires were distributed, and 1 860 valid responses were collected, yielding a response rate of 99.31% (1 860/1 873) .Results:Among the 1 860 nurses, 88.98% (1 655/1 860) had access to convex baseplates in clinical practice. However, only 8.82% (146/1 655) used them immediately postoperatively, and only 4.53% (75/1 655) chose convex baseplates without considering any product features. The five common clinical indications for convex baseplate use included stoma retraction (96.62%, 1 599/1 655) , peristomal skin folds or depressions (96.56%, 1 598/1 655) , flush stomas (80.12%, 1 326/1 655) , leakage (70.03%, 1 159/1 655) , and abdominal laxity (66.89%, 1 107/1 655) . Common contraindications for use included peristomal varicose veins (77.46%, 1 282/1 655) , peristoma pressure injuries (75.35%, 1 247/1 655) , stoma prolapse (74.50%, 1 233/1 655) , parastomal hernia (72.87%, 1 206/1 655) , and pyoderma gangrenosum (67.01%, 1 109/1 655) . Key assessment areas when selecting convex baseplates included the stoma itself (97.28%, 1 610/1 655) , peristomal skin (96.50%, 1 597/1 655) , abdominal wall contour (95.41%, 1 579/1 655) , excretion patterns (87.37%, 1 446/1 655) , and previous convex baseplate use (82.36%, 1 363/1 655) . Measures commonly used by nurses to enhance adhesion included the use of stoma belts (95.29%, 1 577/1 655) , barrier rings or paste (94.80%, 1 569/1 655) , smoothing peristomal skin folds (90.57%, 1 499/1 655) , advising patients to limit bending (82.96%, 1 373/1 655) , and abdominal binders (57.28%, 948/1 655) .Conclusions:The clinical application of convex baseplates requires further promotion. Nursing administrators should strengthen training on the selection, characteristics, and indications of convex baseplates, with particular emphasis on the understanding of the five key product features.

Objective:To investigate the predictive value of refeeding syndrome (RFS) and its influencing factors for 30-day intensive care unit (ICU) readmission in critically ill patients.Methods:A prospective cohort study was conducted. Critically ill patients admitted to the department of critical care medicine, department of respiratory and critical care medicine, and department of neurology at Tianjin Medical University General Hospital from January to April in 2025 were enrolled. Patients were assessed for RFS according to the American Society for Parenteral and Enteral Nutrition (ASPEN) criteria. General information within 24 hours of ICU admission was collected via the electronic medical record system. Treatment details and 30-day ICU readmission status were dynamically recorded. Participants were divided into readmission and non-readmission groups based on whether ICU readmission occurred within 30 days. Intergroup comparisons were performed to identify differences. Multivariate Logistic regression was used to analyze the relationship between RFS and its influencing factors with 30-day ICU readmission. Receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of risk factors.Results:A total of 196 critically ill patients were enrolled, among whom 25 (12.76%) were readmitted to ICU within 30 days and 171 (87.24%) were not. Significant differences were observed in the readmission group compared with the non-readmission group, including significantly higher rates of nasogastric decompression, higher acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score, a higher incidence of RFS, and a longer duration of nasogastric decompression. Multivariate Logistic regression analysis showed that RFS was an independent risk factor for 30-day ICU readmission [odds ratio ( OR) = 5.756, 95% confidence interval (95% CI) was 1.603-20.670, P = 0.007]. APACHEⅡ score showed a positive correlation trend with 30-day ICU readmission ( OR = 1.057, 95% CI was 0.991-1.127, P = 0.092). ROC curve analysis showed that the combined prediction model incorporating RFS and APACHEⅡ score had an area under the ROC curve (AUC) of 0.766 (95% CI was 0.668-0.864), with a sensitivity of 88.0% and a specificity of 62.0%, which was significantly superior to a single indicator (the AUC of RFS and APACHEⅡ score was 0.639 and 0.624, respectively). Conclusions:RFS significantly increases the risk of 30-day ICU readmission in critically ill patients. A combined model incorporating RFS and APACHEⅡ score demonstrates good predictive efficacy for 30-day ICU readmission in critically ill patients.