Objective:To establish a three-dimensional U-shaped residual coordinated attention network (URCA-Net) based on enhanced CT images for small bowel polyp detection and analyze its application effectiveness in intelligent detection of small bowel polyps.Methods:Abdominal CT data of patients with small bowel polyps were collected from the Air Force Medical Center between June 2019 and July 2023. All patients underwent bowel preparation followed by thin-slice spiral CT scanning to obtain enhanced CT arterial phase images. The data were randomly divided into training, validation and test sets in an 8∶1∶1 ratio. The URCA-Net deep learning model was used for small bowel polyp segmentation. The training set was used for model parameter training, the validation set for hyperparameter adjustment and monitoring of model generalization performance and the test set for final unbiased evaluation of the model. An early intelligent detection model for small bowel polyps was constructed, and its performance was evaluated. Evaluation metrics included pixel-level metrics for the segmentation task [Dice Similarity Coefficient (DSC)], as well as sensitivity and precision for polyp detection. A two-stage segmentation strategy was adopted: the first stage segmented the small bowel region to remove external interference, and the second stage performed polyp segmentation within the small bowel region.Results:A total of 78 subjects were included in the study, with an average age of (54±7) years. A total of 23 400 scan images were extracted, including 136 hyperplastic polyps, 298 hamartomatous polyps, 14 adenomatous polyps, and 4 cancerous polyps. On the test set, the average DSC for the first stage (small bowel segmentation) and the second stage (polyp segmentation) was 0.790 and 0.314, respectively. In the second stage task (polyp segmentation based on small bowel region), the polyp segmentation DSC increased to 0.701, with a precision of 0.836 (95% CI: 0.700-0.972) and a sensitivity of 0.759 (95% CI: 0.631-0.888) for polyp detection. Conclusion:The URCA-Net deep learning technique demonstrates good auxiliary diagnostic effectiveness in small bowel polyp detection and can provide a reference for screening and detection of small bowel polyps. The model is capable of generating high-quality segmentation results, which could facilitate evaluating polyp lesion morphology and provide support for downstream tasks such as preoperative navigation and risk prediction.

Objective:To study the preoperative predictors for lower extremity intermuscular venous thrombosis (IMVT) in patients with thoracolumbar fracture.Methods:A retrospective study was conducted to analyze the 421 spinal fracture patients who had been admitted to Department of Spinal Surgery, The Fourth Hospital of Wuhan from November 2023 to October 2024. The cohort included 110 males and 311 females, aged from 16 to 89 years. They were stratified into a thrombosis group (26 cases) and a control group (395 cases) based on the presence or absence of lower extremity IMVT. Univariate analysis was performed of the following variables: gender, age, body mass index, multisegmental spinal fractures, fracture location, Caprini thrombosis risk score, visual analogue scale (VAS) pain score, D-dimer level, prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), international normalized ratio (INR), fibrinogen, coagulation factor activity assay, fibrinogen level, estimated fibrinolytic ratio, clotting time, 30-minute fibrinolytic ratio, coagulation comprehensive index, clot mechanical strength, platelet function, and fibrin generation rate. The variables with a significance level of P<0.05 in the univariate analysis were further analyzed using multivariate logistic regression to identify the independent risk factors for lower extremity IMVT. The predictive efficacy of these factors was evaluated using receiver operating characteristic (ROC) curve analysis. Results:Comparisons between the 2 groups showed that age, multisegmental spinal fractures, Caprini thrombotic risk score, and D-dimer level were variables with P<0.05. Binary logistic regression analysis of the above variables showed that a high Caprini thrombotic risk score, a high D-dimer level, and multisegmental spinal fractures were independent risk factors for preoperative lower extremity IMVT ( P<0.05). The ROC plot suggested an optimal cutoff point: a Caprini thrombotic risk score of 5 and a D-dimer level of 2.57 mg/L. Combination of Caprini thrombotic risk score, D-dimer level, and multisegmental spinal fractures demonstrated a sensitivity of 88.5%, a specificity of 71.9%, and an area under the curve (AUC) of 0.881 for diagnosis of lower extremity IMVT. Conclusions:The Caprini thrombosis risk score and presence of multisegmental spinal fractures are critical indicators for the preoperative risk of lower extremity IMVT in patients with thoracolumbar fracture. For individuals with a low Caprini thrombosis risk score, a D-dimer test is necessary in combination to determine the necessity of color Doppler ultrasound examination.

Objective To evaluate the role and potential mechanism of apolipoprotein E(APOE)in drug resistance of colon cancer by bioinformatic tools and cellular experiments.Methods After downloading the microarray dataset GSE196900 from the GEO database,the online tool GEO2R was used to identify genes that were expressed differently in the drug-resistant and control groups.The differently expressed genes were then examined for Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment.The STRING database and Cytoscape software were used to build protein-protein interaction(PPI)networks and find hub genes.Hub genes'predictive significance in colon cancer was further assessed.Western blod and qRT-PCR were used to identify changes in APOE expression,whereas Transwell was used to identify changes in the colon cancer cells'capacity for invasion and migration.Results The analysis of GO and KEGG enrichment revealed that the differential genes derived from the GSE196900 dataset were primarily focused on receptor-ligand activity and cytokine-cytokine receptor interaction pathways.Using the CytoNCA plug-in in Cytoscape software,ten hub genes were obtained through PPI construction.Of these,the prognosis of the patients with colon cancer was negatively correlated with the expression of the APOE gene(P<0.05)and the overexpression of the APOE gene might significantly increase the migration and nvasivenessability of colon cancer cells(P<0.05).Conclusion The increased expression of APOE significantly promotes the migration and invasion ability of colon cancer cells,which may be one of the mechanisms by which APOE gene promotes tumor progression in the patients with colon cancer.

Objective:To establish a three-dimensional U-shaped residual coordinated attention network (URCA-Net) based on enhanced CT images for small bowel polyp detection and analyze its application effectiveness in intelligent detection of small bowel polyps.Methods:Abdominal CT data of patients with small bowel polyps were collected from the Air Force Medical Center between June 2019 and July 2023. All patients underwent bowel preparation followed by thin-slice spiral CT scanning to obtain enhanced CT arterial phase images. The data were randomly divided into training, validation and test sets in an 8∶1∶1 ratio. The URCA-Net deep learning model was used for small bowel polyp segmentation. The training set was used for model parameter training, the validation set for hyperparameter adjustment and monitoring of model generalization performance and the test set for final unbiased evaluation of the model. An early intelligent detection model for small bowel polyps was constructed, and its performance was evaluated. Evaluation metrics included pixel-level metrics for the segmentation task [Dice Similarity Coefficient (DSC)], as well as sensitivity and precision for polyp detection. A two-stage segmentation strategy was adopted: the first stage segmented the small bowel region to remove external interference, and the second stage performed polyp segmentation within the small bowel region.Results:A total of 78 subjects were included in the study, with an average age of (54±7) years. A total of 23 400 scan images were extracted, including 136 hyperplastic polyps, 298 hamartomatous polyps, 14 adenomatous polyps, and 4 cancerous polyps. On the test set, the average DSC for the first stage (small bowel segmentation) and the second stage (polyp segmentation) was 0.790 and 0.314, respectively. In the second stage task (polyp segmentation based on small bowel region), the polyp segmentation DSC increased to 0.701, with a precision of 0.836 (95% CI: 0.700-0.972) and a sensitivity of 0.759 (95% CI: 0.631-0.888) for polyp detection. Conclusion:The URCA-Net deep learning technique demonstrates good auxiliary diagnostic effectiveness in small bowel polyp detection and can provide a reference for screening and detection of small bowel polyps. The model is capable of generating high-quality segmentation results, which could facilitate evaluating polyp lesion morphology and provide support for downstream tasks such as preoperative navigation and risk prediction.

Objective:To study the preoperative predictors for lower extremity intermuscular venous thrombosis (IMVT) in patients with thoracolumbar fracture.Methods:A retrospective study was conducted to analyze the 421 spinal fracture patients who had been admitted to Department of Spinal Surgery, The Fourth Hospital of Wuhan from November 2023 to October 2024. The cohort included 110 males and 311 females, aged from 16 to 89 years. They were stratified into a thrombosis group (26 cases) and a control group (395 cases) based on the presence or absence of lower extremity IMVT. Univariate analysis was performed of the following variables: gender, age, body mass index, multisegmental spinal fractures, fracture location, Caprini thrombosis risk score, visual analogue scale (VAS) pain score, D-dimer level, prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), international normalized ratio (INR), fibrinogen, coagulation factor activity assay, fibrinogen level, estimated fibrinolytic ratio, clotting time, 30-minute fibrinolytic ratio, coagulation comprehensive index, clot mechanical strength, platelet function, and fibrin generation rate. The variables with a significance level of P<0.05 in the univariate analysis were further analyzed using multivariate logistic regression to identify the independent risk factors for lower extremity IMVT. The predictive efficacy of these factors was evaluated using receiver operating characteristic (ROC) curve analysis. Results:Comparisons between the 2 groups showed that age, multisegmental spinal fractures, Caprini thrombotic risk score, and D-dimer level were variables with P<0.05. Binary logistic regression analysis of the above variables showed that a high Caprini thrombotic risk score, a high D-dimer level, and multisegmental spinal fractures were independent risk factors for preoperative lower extremity IMVT ( P<0.05). The ROC plot suggested an optimal cutoff point: a Caprini thrombotic risk score of 5 and a D-dimer level of 2.57 mg/L. Combination of Caprini thrombotic risk score, D-dimer level, and multisegmental spinal fractures demonstrated a sensitivity of 88.5%, a specificity of 71.9%, and an area under the curve (AUC) of 0.881 for diagnosis of lower extremity IMVT. Conclusions:The Caprini thrombosis risk score and presence of multisegmental spinal fractures are critical indicators for the preoperative risk of lower extremity IMVT in patients with thoracolumbar fracture. For individuals with a low Caprini thrombosis risk score, a D-dimer test is necessary in combination to determine the necessity of color Doppler ultrasound examination.

Objective:To explore the relationship between the longitudinal change trajectory of white blood cell (WBC) and new-onset type 2 diabetes mellitus(T2DM).Methods:It was a prospective cohort study. A total of 2 792 people who underwent health examinations at the Health Management Center of the Affiliated Hospital of Qingdao University from January 2019 to December 2023 for five consecutive years and met the research standards were selected as the study subjects. Group-based trajectory modeling (GBTM) was established. The target population was divided into three groups based on the longitudinal change trajectory of WBC: low-stable group, medium-stable group and high-stable group. The cumulative incidence of T2DM in the three groups were analyzed. Multivariate Cox proportional risk regression models were used to analyze the correlation between different WBC trajectory groups and the risk of T2DM in total population, males and females. A restricted cubic spline regression (RCS) model was used to analyze the dose-response relationship between baseline WBC and risk of T2DM.Results:The cumulative incidence rate of T2DM in low-stable group, medium-stable group and high-stable group increased gradually, which was 2.5%, 5.3% and 6.9%, respectively ( χ2=19.024, P<0.001). After adjusting for multiple confounding factors in the Cox proportional hazards regression model, no significant difference in the incidence risk of T2DM among the three WBC trajectory groups in males; While the hazard ratios in the high-stable and medium-stable group in women was 2.852(95% CI: 1.067-7.628) and 2.588 (95% CI: 1.133-5.912), respectively, when compared with that in the low-stable group (both P<0.05). RCS curve analysis showed a linear relationship between WBC and the risk of T2DM in female ( Pnon-linear=0.956), when the WBC count was>5.53×10 9/L, the risk of T2DM increased with the rise of WBC. Conclusion:Higher WBC trajectory is positively correlated with the risk of new-onset T2DM in female health examination population.

The well-known insulin-like growth factor 1 (IGF1)/IGF-1 receptor (IGF-1R) signaling pathway is overexpressed in many tumors, and is thus an attractive target for cancer treatment. However, results have often been disappointing due to crosstalk with other signals. Here, we report that IGF-1R signaling stimulates the growth of hepatocellular carcinoma (HCC) cells through the translocation of IGF-1R into the ER to enhance sarco-endoplasmic reticulum calcium ATPase 2 (SERCA2) activity. In response to ligand binding, IGF-1Rβ is translocated into the ER by β-arrestin2 (β-arr2). Mass spectrometry analysis identified SERCA2 as a target of ER IGF-1Rβ. SERCA2 activity is heavily dependent on the increase in ER IGF-1Rβ levels. ER IGF-1Rβ phosphorylates SERCA2 on Tyr⁹⁹⁰ to enhance its activity. Mutation of SERCA2-Tyr⁹⁹⁰ disrupted the interaction of ER IGF-1Rβ with SERCA2, and therefore ER IGF-1Rβ failed to promote SERCA2 activity. The enhancement of SERCA2 activity triggered Ca²⁺_ER perturbation, leading to an increase in autophagy. Thapsigargin blocked the interaction between SERCA2 and ER IGF-1Rβ and therefore SERCA2 activity, resulting in inhibition of HCC growth. In conclusion, the translocation of IGF-1R into the ER triggers Ca²⁺_ER perturbation by enhancing SERCA2 activity through phosphorylating Tyr⁹⁹⁰ in HCC.

Objective: To explore the facilitators and barriers of the implementation of evidence based mental health practice, in order to provide practical experience for promoting the development of evidence based mental health services in primary schools in China. Methods: Semi structured interviews were conducted with 4 education bureau managers, 8 school administrators, 7 classroom teachers, and 7 treatment providers after providing evidence based practice in 10 primary schools in Henan Province, China. Data was analyzed using thematic analysis. Results: Evidence based practice in primary schools faced multiple factors at the macro level, school level, and individual level. A total of 8 facilitators and 9 barriers were extracted. Among these factors, some factors were particularly striking. These included the "exclusion" of teacher title evaluation system, time conflict between practice and school schedule, stigmatization of mental health and mismatch between perceived effectiveness of services and expectations. Conclusion Evidence based mental health practice is feasible in Chinese schools. The implementation process needs to take full account of macro, school and individual multi level factors to move evidence based mental health services from theory and data to practice in China.

Objective:To investigate and analyze the psychological stress status and influencing factors of medical staff in comprehensive grade A hospitals.Methods:This was a cross-sectional survey using a convenient sampling method. A questionnaire survey was conducted among 2 048 staff members of the Affiliated Hospital of Qingdao University from February 25 to June 16, 2022. The questionnaires included the Self-rating Stress Questionnaire (SSQ-53), the Self-rating Anxiety Scale, and the Self-rating Depression Scale. A total of 2 048 questionnaires were distributed and 2 048 were collected. Among them, 2 006 (97.95%) were valid questionnaires, and 2 006 medical staff were ultimately included in the analysis. According to the results of the scale, they were divided into the increased psychological stress group and the non increased psychological stress group. Descriptive analysis, independent sample t-test/chi-square test, correlation analysis, and other methods were used to analyze the psychological stress status of medical staff and the distribution of related factors, and multivariate logistic regression was used to analyze their influencing factors. Results:A total of 310 (15.5%) out of 2 006 study subjects showed increased psychological stress. Women had a statistically significant increase in physical (14.7% vs 8.0%, χ2=12.40, P<0.001) and emotional dimensions (18.2% vs 13.5%, χ2=5.04, P=0.025) of stress compared to men. The level of psychological stress was positively correlated with anxiety and depression ( r=0.810, 0.749, respectively, P<0.001). Univariate analysis showed that those who were women ( χ2=6.76, P=0.009), with low education backgrounds ( Z=-2.50, P=0.012), nurses ( χ2=15.72, P<0.001), or working in emergency departments ( χ2=13.64, P=0.009) had a higher rate of increased psychological stress, while the serum calcium level in the increased psychological stress group was lower than that in the non increased psychological stress group ( t=2.82, P=0.005). Multivariate analysis showed that low educational backgrounds ( OR=2.238, 95% CI: 1.090-4.597, P=0.028) and working in emergency department ( OR=1.589, 95% CI: 1.012-2.493, P=0.044) were independent risk factors for increased psychological stress of medical staff. Working in administrative and logistics departments ( OR=0.466, 95% CI: 0.229-0.950, P=0.036) and serum calcium level ( OR=0.213, 95% CI: 0.059-0.760, P=0.017) were negatively correlated with increased psychological stress. Conclusions:In comprehensive grade A hospitals, medical staff working in the emergency department or with lower educational backgrounds face greater psychological stress. Serum calcium level is negatively correlated with increased psychological stress, but the causal relationship needs further study.

Objective:To compare the ability of triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride-glucose index (TyG) in identifying nonalcoholic fatty liver disease (NAFLD).Methods:A total of 11 524 eligible subjects who underwent physical examination in the Affiliated Hospital of Qingdao University from January to December in 2018 were selected in this research. The correlation between TG/HDL-C, TyG and NAFLD was analyzed by using binary logistic regression. The receiver operating characteristic (ROC) curves of TyG and TG/HDL-C were drawn for identifying NAFLD in male and female, and their diagnostic value for NAFLD was compared.Results:The prevalence of NAFLD increased with TG/HDL-C and TyG. After adjusting for confounding factors, when compared with that in the first quartile group of TG/HDL-C, the odds ratios (OR) and 95% confidence intervals ( CI) of NAFLD risk in the second, third and fourth quartile groups of TG/HDL-C was 2.380 (2.039-2.779), 3.902 (3.342-4.555) and 7.903 (6.745-9.259), respectively. Compared with that in the first quartile group of TyG, the OR (95% CI) of NAFLD risk in the second, third and fourth quartile groups of TyG was 2.243 (1.923-2.617), 3.918 (3.363-4.565) and 9.002 (7.676-10.559), respectively. The area under the curve (AUC) of TG/HDL-C and TyG in identifying NAFLD in male was 0.746 and 0.744, respectively, and there was no significant difference between the two indexes ( P=0.509 1). The AUCs of TG/HDL-C and TyG in identifying NAFLD in female was 0.785 and 0.799, respectively, and the difference was statistically significant ( P<0.001). The cut-off point of TG/HDL-C for identifying NAFLD in male was 1.02, and the cut-off point of TyG for identifying NAFLD in female was 8.55. Conclusions:TG/HDL-C and TyG are closely related to NAFLD in adults. There is no difference between TG/HDL-C and TyG in evaluating NAFLD in male, while TyG is better than TG/HDL-C in evaluating NAFLD in female.