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）］

Malignant pleural effusion(MPE)is a common complication in patients with advanced malignant tumors,which not only significantly reduces their quality of life but also shortens their survival duration.Despite the widespread use of traditional treatment methods such as thoracentesis and pleurodesis,their efficacy is limited accompanied by high recurrence rates.Therefore,exploring novel therapeutic strategies becomes particularly urgent.In recent years,immunotherapy has attracted extensive attention for its potential in cancer treatment.This article systematically reviews the roles of CD4+T cell subsets,including regulatory T cells(Treg),T helper cell(Th)17,Th9,and Th22 cells,within the immunosuppressive microenvironment of MPE.These cell subsets are involved in the formation of the immunosuppressive state of MPE through various mechanisms and play key roles in the occurrence and development of the disease.In addition,the article discusses in detail the role of immune checkpoint molecules,such as programmed death protein 1(PD-1),PD-1 ligand(PD-L1),and cytotoxic T-lymphocyte-associated protein 4(CTLA-4),in the immune evasion of MPE.The abnormal expressions of these molecules provide opportunity for tumor cells to evade immune system surveillance.At the same time,this article also summarizes the application prospects of novel immunotherapy strategies,such as adoptive cell therapy(ACT)and chimeric antigen receptor T cell(CAR-T)therapy,in the treatment of MPE.These innovative therapies offer possibilities for improving the prognosis of MPE patients through activating and enhancing the anti-tumor immune response.

To develop a method for determining the antibody-dependent cell-mediated phagocytosis (ADCP) activity of human epidermal growth factor receptor 2 (HER2)-targeted antibody drug conjugate (ADC) based on the reporter gene assay, we established an ADCP activity assay with Jurkat/NFAT/FcγRIIa cells as the effector cells and BT474 as the target cells. Then, the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were optimized by the method of design of experiment (DOE). The method showed a significant dose-response relationship, which was complied with the four-parameter equation: y=(A-D)/[1+(x/C)^B]+D. The durability ranges of the target cell density, the ratio of effector to target cells, the target cell adhesion time, the incubation time for drug administration, and the induction time after adding effector cells were (2.5-4.0)×10⁵ cells/mL, 3-5, 1.0-2.0 h, 0 h, and 5.0-6.0 h, respectively. The results of the methodological validation showed that the linear equation was y=1.106 8x-0.011 6, r=0.969 2. The established method showed the relative accuracy ranging from -6.59% to 2.98% and the geometric coefficient of variation less than 11% in the intermediate precision test. Furthermore, the method was target-specific. The method was then applied to the determination of ADCP activity of HER2-targeted ADC, demonstrating the result of (103.5±5.7)%. We developed a reporter gene assay for determining the ADCP activity of HER2-targeted ADC and the assay demonstrated high accuracy and good reproducibility, which proposes a highly efficient and approache for evaluating ADCP effect of this HER2-targeted ADC, and also provides a referable technique for characterizing the Fc effector functions of ADCs with diverse targets.
Humans ; Receptor, ErbB-2/immunology* ; Phagocytosis/drug effects* ; Immunoconjugates/immunology* ; Genes, Reporter ; Antibody-Dependent Cell Cytotoxicity ; Jurkat Cells

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 analyze the current situation of department configuration and discipline development of medical record management in China,identify existing problems and challenges,and provide a reference for medical record management.Methods Based on the functions of word frequency analysis,coding and statistics of Nvivo 20 software,the sample literature was comprehensively interpreted by the content analysis method.Results Currently in China,medical record departments are mainly established as secondary departments in healthcare institutions with generally insufficient staffing.The professional title distribution presents a"pyramid"structure with senior∶intermediate∶junior ratio at 1∶3∶4,showing complex professional backgrounds and low proportion of postgraduate degree holders.The informatization level varies significantly with hospital grades,with basic-level hospitals below secondary level demonstrating relatively low informatization.There exist substantial gaps in on-the-job training and continuing education,while scientific paper output and research project applications remain generally weak.Conclusion Under the new circumstances,it is necessary to improve the academic education and continuing education system for medical record management,strengthen discipline construction and informatization development,enhance selection and train-ing of inter-disciplinary talents in medical records,optimize professional title promotion channels,and continuously increase at-tention and investment in medical record departments to meet the needs of hospital modernization development.

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 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.