BackgroundCurrently， the incidence of depression among teenagers is on the rise， and the related academic problems are becoming increasingly serious. Short video addiction has a negative impact on teenagers' emotional issues and academic achievements. However， few studies have explored the relationship between this addiction and the learning burnout of teenagers with depression， and even fewer have focused on the role paths of impulsivity and coping disposition in this process. ObjectiveTo explore the relationship between short video addiction and learning burnout in adolescent patients with depression， as well as the pathway of impulsivity and coping disposition， so as to provide references for the intervention of learning burnout in adolescent patients with depression. MethodsA total of 191 adolescent patients who were hospitalized at The Affiliated Brain Hospital of Guangzhou Medical University from December 2024 to April 2025 and met the diagnostic criteria for depression according to the International Classification of Diseases， tenth edition （ICD-10） were selected consecutively. The Short Video Addiction Measurement Scale （SVAMS）， the Brief Barratt Impulsiveness Scale （BBIS）， the Simplified Coping Style Questionnaire （SCSQ）， and the Adolescent Student Burnout Inventory （ASBI） were used for assessment. Pearson correlation analysis was employed to examine the correlations of the scores of each scale. Model 6 of the SPSS macro Process 4.2 was employed to analyze the chained mediation pathway of impulsivity and coping disposition between short video addiction and learning burnout. ResultsA total of 173 cases （90.58%） of adolescent patients with depression completed the valid questionnaire survey. Correlation analysis showed that SCSQ coping disposition score was negatively correlated with the SVAMS score， the BBIS score， and the ASBI score （r=-0.282， -0.341， -0.431， P<0.01）， the SVAMS score was positively correlated with the BBIS score and the ASBI score （r=0.339， 0.262， P<0.01）， and the BBIS score was positively correlated with the ASBI score （r=0.486， P<0.01）. The pathway analysis showed that the direct effect of short video addiction on learning burnout was not statistically significant， but the total effect and the indirect effect were statistically significant. The effect values were 0.275 （95% CI： 0.207–0.343） and 0.193 （95% CI： 0.143–0.246）， respectively， with the indirect effect accounting for 70.18%. Impulsivity and coping disposition both played independent mediating roles between short video addiction and learning burnout， with effect values of 0.122 （95% CI： 0.090–0.156） and 0.054 （95% CI： 0.032–0.079）， accounting for 44.36% and 19.64% of the total effect， respectively. The chained mediation effect of impulsivity and coping disposition was significant， with an effect value of 0.017 （95% CI： 0.011–0.026）， accounting for 6.18% of the total effect. ConclusionAlthough short video addiction does not directly affect learning burnout in adolescent patients with depression， it may indirectly influence learning burnout through independent and chain paths of impulsivity and coping disposition. ［Funded by Guangzhou Key Clinical Specialty （Clinical Medical Research Institute）］

Purpose To explore the clinical and pathological characteristics of gastric amphicrine carcinoma(AC).Methods Clinical data of 12 patients with gastric AC were collected,and their clinical pathological character-istics and histological morphology were observed.Immunohistochemical staining,special staining,and electron micros-copy techniques were used to analyze their immune phenotype and ultrastructure.Molecular pathology was used to de-tect microsatellite status.Relevant literature was reviewed.Results Ten cases of gastric AC were located at the junc-tion of the esophagus and stomach/cardia,1 case at the gastric angle,and 1 case in the gastric antrum.The average maximum diameter of tumors was 4.25 cm.There were different proportions of tumor cells with signet-ring like charac-teristics in all cases.Four cases had neuroendocrine carcinoma components,and another 4 had adenocarcinoma.Elev-en cases had nerve invasion and vascular cancer thrombus.Eleven cases invaded the serosal layer/submucosal layer,and 1 case invaded the submucosal layer.Ten cases had lymph node metastasis.All 12 cases showed diffuse expression of CKpan and Syn,with 3 cases showed diffuse expression of CgA and 7 cases showed diffuse expression of CD56.The average proliferation index of Ki67 was 78.9％.Special staining showed clear intracellular mucus.Electron microscopy examination revealed electron dense particles and mucus particles within the tumor cells.A total of 10 patients were fol-lowed up,of which 7 survived,and 3 patients died from multiple systemic metastases at 0,24,and 30 months postop-eratively.Conclusion Gastric AC was more common in the junction of the esophagus and stomach/cardia,and histol-ogy shows a higher invasiveness.Their clear diagnosis depends on histological morphology,immunohistochemistry,and special staining.

Objective To construct a risk prediction model for intraoperative acquired pressure injury(IAPI)during neurosurgery in pediatric patients,and verify the predictive effect of the model,to provide a reference for preventing IAPI during neurosurgery in pediatric patients.Methods The clinical data of 776 pediatric patients undergoing neurosurgery in a tertiary-level hospital in Chongqing from January to June 2023 were retrospectively collected.The risk factors for IAPI were explored through univariate analysis and binary Logistic regression analysis.The fitting degree and predictive effect of the model were verified by Hosmer-Lemeshow test and receiver operator characteristic(ROC)curve,respectively.The model was validated internally by Bootstrap.Results The incidence of IAPI during neurosurgery in pediatric patients was 7.99％.Logistic regression analysis showed that bleeding volume,anesthesia time,age,intraoperative use of instruments such as drills and milling cutters that increase external force,and surgical position were the factors influencing IAPI in neurosurgical children(all P＜0.05).The results of the Hosmer-Lemeshow test showed that x2=3.636,P=0.888.The results of internal verification showed that the sensitivity of the model was 0.59;the specificity was 0.81;the area under the ROC curve was 0.79.Conclusion This study analyzes the risk factors for IAPI during neurosurgery in pediatric patients and constructs a line chart prediction model with good predictive performance,which can provide a reference for individualized prediction of the risk of IAPI during neurosurgery in pediatric patients.It can provide a scientific basis for clinical nursing staff to identify high-risk children with IAPI early and take personalized preventive measures in time.

Objective To evaluate the efficacy of the DrCloudme platform in follow-ups of intracranial aneurysm(IA)patients.Methods A randomized controlled trial was conducted with 120 IA patients treated at Hechi People's Hospital from July 2021 to June 2024.Participants were equally allocated via random number table method into two groups:The control group(n=60)received conventional telephone follow-up post interventional embolization,while the intervention group(n=60)uti-lized the DrCloudme platform for digital follow-up management.Outcome measures included medical compliance,social functio-ning(assessed by Social Disability Screening Schedule,SDSS),quality of life(evaluated using Quality of Life Instrument for Head and Neck Cancer,QLICP-HN),follow-up completion rates,and patient satisfaction.Results The observation group dem-onstrated significantly higher medical compliance,follow-up completion rate,and follow-up patient satisfaction compared to the control group(P＜0.05).Additionally,the observation group had lower SDSS scores and higher QLICP-HN scores,indicating better social function and quality of life(P＜0.05).Conclusion The DrCloudme platform can not only improve the follow-up completion rate for healthcare providers,but also enhance medical compliance,social functioning,and quality of life among dis-charged IA patients.Moreover,it significantly boosts patient satisfaction with follow-ups.

Objective To investigate the clinical efficacy and safety of endoscopic ultrasonography-guided(EUS-guided)enterocolon anastomosis in treating patients with malignant bowel obstruction(MBO).Methods The clinical data of 12 patients with MBO,who underwent EUS-guided enterocolon anastomosis at the Nanjing Drum Tower Hospital of China from April 2023 to December 2023,were collected.The perioperative clinical efficacy and safety were retrospectively analyzed.Results Successful EUS-guided enterocolon anastomosis was accomplished in all the 12 patients,with a technical success rate of 100％(12/12).The clinical success rate was 83.3％(11/12),one patient developed obstruction of the stent.The clinical symptoms were relieved in 2-68 hours after treatment,and the time to resume defecation and exhaust was(18.02±15.75)hours.Within one week after the operation,4 patients took liquid diet and 8 patients took semi-fluid diet.Each dimension score of the Quality of Life Core-30 scale of The European Organization for Research and Treatment of Cancer(EORTC QLQ-C30)was remarkably improved,the patient's overall health score was increased from preoperative median 5 points to postoperative 8 points(P＜0.001).During the operation,stent displacement occurred in 2 patients,and the operation was successfully completed after promptly taking remedial measures.After operation,11 patients developed fever(37.5-39.4 ℃),and all the patients were discharged smoothly after symptomatic treatment.No complication such as bleeding,perforation,or stent displacement occurred.Conclusion EUS-guided enterocolon anastomosis is clinically safe and effective,it can effectively relieve the clinical symptoms and improve the quality of life of patients with MBO.

Objective:To investigate the current application of blood purification in the treatment of acute poisoning within Jiangsu Province and to evaluate the impact of extracorporeal blood purification on the clinical outcomes of critically poisoned patients.Methods:This multicenter, cross-sectional real-world observational study followed patients presenting with poisoning to the emergency departments of nine hospitals in Jiangsu Province between June 2015 and May 2019. Data were collected on demographic characteristics, vital signs within the first hour of emergency presentation, treatment modalities, length of hospital stay, and survival outcomes. Clinical data from patients who underwent extracorporeal blood purification were compared with those who did not, using the Wilcoxon rank-sum test and Chi-square test.Results:A total of 4 178 poisoning cases were included between June 2015 and May 2019. Among them, 21.7% (908/4 178) received blood purification therapy, while 78.3% (3 270/4 178) did not. Hemoperfusion (90.4%) was the most frequently employed method, followed by continuous renal replacement therapy (CRRT) (4.4%). In combined blood purification modalities, 4.8% underwent hemoperfusion combined with CRRT, 0.1% received hemoperfusion with plasma exchange, and another 0.1% underwent hemoperfusion combined with both CRRT and plasma exchange. Among patients who underwent blood purification, pesticide poisoning was the most prevalent (76.3%), with the most common toxic agents being paraquat (23.7%), dichlorvos (8.7%), methamidophos (5.2%), omethoate (4.0%), and glyphosate (3.7%). Compared to the non-blood purification group, patients in the blood purification group were more likely to present within the first hour with a low Glasgow Coma Scale (GCS) score (3-8) (22.6% vs. 9.7%, P <0.05), low mean arterial pressure (8.0% vs. 3.2%, P <0.05), longer hospital stays [5(3,9) days vs. 2(1,4) days, P <0.05] and a higher in-hospital mortality rate (21.1% vs. 5.3%, P <0.05). Follow-up via telephone 28 days after discharge revealed a survival rate of 78.9%, with a mortality rate of 21.1% in the blood purification group. Conclusions:Hemoperfusion is the most commonly utilized blood purification technique for treating poisoning in Jiangsu Province, with pesticides being the primary toxic agents treated. Although the mortality rate is higher in the blood purification group, the intervention may still contribute to improved patient outcomes.

Objective To construct a risk prediction model for intraoperative acquired pressure injury(IAPI)during neurosurgery in pediatric patients,and verify the predictive effect of the model,to provide a reference for preventing IAPI during neurosurgery in pediatric patients.Methods The clinical data of 776 pediatric patients undergoing neurosurgery in a tertiary-level hospital in Chongqing from January to June 2023 were retrospectively collected.The risk factors for IAPI were explored through univariate analysis and binary Logistic regression analysis.The fitting degree and predictive effect of the model were verified by Hosmer-Lemeshow test and receiver operator characteristic(ROC)curve,respectively.The model was validated internally by Bootstrap.Results The incidence of IAPI during neurosurgery in pediatric patients was 7.99％.Logistic regression analysis showed that bleeding volume,anesthesia time,age,intraoperative use of instruments such as drills and milling cutters that increase external force,and surgical position were the factors influencing IAPI in neurosurgical children(all P＜0.05).The results of the Hosmer-Lemeshow test showed that x2=3.636,P=0.888.The results of internal verification showed that the sensitivity of the model was 0.59;the specificity was 0.81;the area under the ROC curve was 0.79.Conclusion This study analyzes the risk factors for IAPI during neurosurgery in pediatric patients and constructs a line chart prediction model with good predictive performance,which can provide a reference for individualized prediction of the risk of IAPI during neurosurgery in pediatric patients.It can provide a scientific basis for clinical nursing staff to identify high-risk children with IAPI early and take personalized preventive measures in time.

Objective:To construct and evaluate the predictive performance of a multiphase ultrasound radiomics model for microvascular invasion（MVI）in hepatocellular carcinoma（HCC）.Methods:A total of 126 patients with pathologically confirmed HCC were retrospectively enrolled from 4 medical centers between May 2018 and July 2025，including the First Hospital of Shanxi Medical University，Shanxi Province Third People's Hospital，Changzhi People's Hospital，and the Organ Transplant Center of the Affiliated Hospital of Qingdao University. A total of 630 ultrasound images of the lesions in different phases were collected，from which 1 561 radiomic features were extracted. The patients from medical institutions in Shanxi Province were chosen as the training set（ n=91），and the patients from the Organ Transplant Center of the Affiliated Hospital of Qingdao University were chosen as the validation set（ n=35）. In the training set，37.4%（34/91）patients presented MVI（+），whereas in the validation set，54.3%（19/35）patients presented MVI（+）. Radiomics features were extracted from ultrasound images，and features related to the MVI（+）were selected through dimensionality reduction analysis. Five multiple machine learning algorithms were used to construct predictive models，which were then evaluated using an external validation set. The Radscore was calculated，and a nomogram was constructed combining Radscore with ultrasound and clinical characteristics to predict MVI. Results:The model combining radiomics features from the portal venous phase and the delay phase showed the best predictive performance in both the training and validation sets，with area under curve（AUC）values of 0.835 and 0.727，respectively. The prediction model developed using radiomics Radscore and clinical indicators could be represented and presented as a nomogram.Conclusions:The radiomics model based on multi-phase ultrasound offers a novel approach for non-invasive preoperative prediction of MVI in liver cancer. Furthermore，its integration with clinical features aids in optimizing clinical treatment strategies.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Objective:To compare the clinical efficacy of direct versus double-balloon occlusion in endoscopic ultrasound-guided gastroenterostomy (EUS-GE) for benign and malignant gastric outlet obstruction (GOO).Methods:Clinical data of patients with GOO who underwent EUS-GE at Nanjing Drum Tower Hospital between April 2017 and July 2024 were analyzed in a retrospectively cohort study. The patients were divided into the direct technique group ( n=36) and the double-balloon occlusion technique group ( n=105). The technical success rate, clinical success rate, procedure time, postoperative stay, stent replacement rate, and incidence of adverse events were compared between the two groups. Results:The technical success rates of the two groups were comparable, 97.2% (35/36) and 94.3% (99/105) ( χ2=0.065, P=0.798), so were the clinical success rates, 94.4% (34/36) and 86.7% (91/105) ( χ2=0.932, P=0.334). However, the direct technique group demonstrated significantly shorter procedure time and postoperative stay compared to the double-balloon occlusion group [33.4 (23.2, 42.3) min VS 43.4 (31.7, 63.1) min, Z=-3.057, P=0.002; 4.0 (3.00, 5.75) days VS 6.0 (5.00, 9.00) days, Z=-4.031, P<0.001]. Adverse event rates [11.1% (4/36) VS 11.4% (12/105), χ2<0.001, P=1.000] and stent replacement rates [5.6% (2/36) VS 9.5% (10/105), χ2=0.152, P=0.696] showed no significant differences. Conclusion:Both EUS-GE techniques achieve comparable efficacy and safety for GOO. However, the direct technique showed significant advantages over the double-balloon occlusion technique in terms of shorter procedure time and reduced postoperative hospital stay.