OBJECTIVE To mine and analyze adverse event signals associated with inebilizumab， and to provide reference for safe and rational clinical use. METHODS Reports of adverse event related to inebilizumab were collected from the FDA adverse event reporting system （FAERS） database， from Q2 2020 to Q4 2024. Adverse events were standardized and categorized according to the preferred term （PT） and system organ class （SOC） of the Medical Dictionary for Regulatory Activities （MedDRA） version 26.0. Signals were mined using the reporting odds ratio （ROR） method and the Bayesian confidence propagation neural network （BCPNN） method. RESULTS A total of 783 adverse event reports with inebilizumab as the primary suspected drug were identified， involving 297 patients. Most reports originated from the United States and Japan， with physicians being the primary reporters. Female patients outnumbered males， and the most common age group was 45-64 years. Using the ROR method and BCPNN method， a total of 29 valid adverse event signals were detected， involving 12 SOCs and comprising 225 adverse event reports. The five most frequently reported PTs were headache， nausea， fatigue， infectious pneumonia and arthralgia. The five PTs with the strongest signal intensity were： B-cell recovery， decreased blood immunoglobulin G， spinal compression fracture， COVID-19 and acute respiratory distress syndrome. Among the 29 valid signals for adverse event， 19 were not documented in the drug package inserts， involving 10 SOCs and comprising 107 adverse event reports. These encompassed nervous system disorders， general disorders and administration site conditions， eye disorders， among others. CONCLUSIONS Inebilizumab treatment not only causes adverse events documented in the product information， such as infections， immunoglobulin reduction and infusion-related reactions but also leads to potential signals， including B-cell recovery， spinal compression fracture. When using this drug in clinical practice， the patient’s risk of infection and baseline immune status should be assessed， relevant indicators should be closely monitored， and targeted preventive measures should be considered when necessary.

Diabetic nephropathy （DKD）， as a common microvascular complication of diabetes mellitus （DM）， is a major cause of end-stage renal disease （ESRD）. Its clinical manifestations include increased urinary protein excretion， thickening of the glomerular basement membrane， and renal tubulointerstitial fibrosis. The pathogenesis of DKD is complex and involves multiple factors， including disordered glucose metabolism， hemodynamic alterations， and oxidative stress. Although modern medical approaches can alleviate certain symptoms， they still have limitations such as insufficient therapeutic targeting and prominent adverse effects. The transforming growth factor-β/Smad （TGF-β/Smad） signaling pathway is not only a tissue fibrosis pathway that has attracted considerable attention in recent years， but also regulates multiple protein molecules， including the glomerular podocyte slit diaphragm protein Podocin， interleukin-1β （IL-1β）， and superoxide dismutase （SOD）， thereby participating in various pathological processes and ultimately mediating renal injury. Flavonoid compounds， owing to their sustained pharmacological effects， broad spectrum of action， and high safety profile， have become ideal candidates for targeted therapy research in DKD. Existing studies have shown that these compounds can exert inhibitory effects on renal fibrosis， alleviate inflammatory responses， protect podocytes， and reduce oxidative stress by regulating the interactions between the TGF-β/Smad signaling pathway and the aforementioned protein molecules， thereby maintaining renal structure and function， reducing proteinuria， and significantly improving DKD lesions. This review briefly outlines the composition and functions of the TGF-β/Smad signaling pathway， elucidates the mechanisms by which this pathway regulates DKD， and focuses on summarizing major studies from the past decade on flavonoid-based interventions in DKD through targeted inhibition of the TGF-β/Smad signaling pathway. Furthermore， it discusses the considerable therapeutic potential of flavonoids in the treatment of this disease， aiming to provide a scientific basis for future clinical prevention and treatment of DKD and to promote the development of targeted drugs.

Abstract To promote the mental health of college students and build campus based psychological support system, the study explains that current applications of digital health interventions (DHIs) include independent forms based on a single technology or platform, as well as integrated forms that combine multiple digital technologies with traditional mental health services. These interventions have positive effects on alleviating negative emotions among college students, enhancing psychological resilience, improving quality of life, and ameliorating academic performance. However, differences still exist in the stability of intervention effects. Future development requires continuous improvement in institutional construction, ethical governance and capacity building.

Objective To explore the mediating effect of sleep quality between somatic symptoms and severity of depression in patients with depression. Methods A total of 384 drug-naive patients diagnosed with depression were recruited from the Department of Psychological Medicine of Zhongshan Hospital, Fudan University, during the period from February to August 2024. The severity of depression, somatic symptoms, and sleep quality were assessed using Patient Health Qusetionaire (PHQ)-9, PHQ-15, and Pittsburgh sleep quality index (PSQI), respectively. Based on the PHQ-15 scores, all participants were stratified into two groups: a mild somatic symptoms group（＜10 points, n＝136）and a moderate-to-severe somatic symptoms group（≥10 points, n＝248）. Comparisons of sleep quality between the two groups were conducted, and partial correlation analysis was performed to examine the correlation between sleep quality and somatic symptoms. Additionally, linear regression and mediation analyses were conducted to investigate the mediating effect of sleep quality between somatic symptoms and severity of depression. Results The PSQI scores in moderate-to-severe somatic symptoms group were significantly higher than those in mild somatic symptoms group (P＜0.001). Partial correlation analysis indicated that, after controlling for depression severity, the positive correlation between PSQI and PHQ-15 scores remained significant in both groups (P＜0.01). Regression analysis identified both sleep quality and somatic symptoms as predictors of severity of depression (P＜0.001). Additionally, mediation analysis demonstrated that sleep quality partially mediated the relationship between somatic symptoms and severity of depression, accounting for 26.63% (0.090/0.338) of the total effect. Conclusions In patients with depression, sleep quality is associated with somatic symptoms, and both contribute to an increased risk of the severity of depression. Moreover, sleep quality plays a partial mediating effect between somatic symptoms and severity of depression, highlighting the importance of addressing sleep-related issues in the management of depression.

Breast cancer is the most common malignant tumor in women worldwide,and its incidence rate is increasing annually.Early dia-gnosis is essential for improving patient prognosis.In recent years,artificial intelligence(AI)technology has emerged as a transformative tool,providing new directions for accurate diagnostic and prognostic assessments.This article systematically reviews research progress in the ap-plication of AI to breast cancer screening,multimodal imaging techniques for diagnosis,pathological diagnosis,treatment,and prognostic modeling.Through machine learning and deep learning algorithms,AI has demonstrated significant advantages in the enhancement of dia-gnostic accuracy,efficiency,and accessibility,including improvement of the detection rate of small lesions,reduction in the radiologists'workload,and optimization of treatment decisions.Despite challenges,including the integration of explainable technology in clinical trans-formation,lack of data standardization,complexity of multimodal data,and risk of model generalization,AI is expected to play a more prom-inent role in the precise diagnosis and intelligent therapy for breast cancer,thereby contributing to the full realization of the goal of preci-sion medicine.

Objective:To investigate the effects of low tube voltage, automatic tube current modulation technology combined with noise index(NI), and forward projected model-based iterative reconstruction solution(FIRST)on radiation dose and image quality in low iodine contrast agent CT pulmonary angiography(CTPA)among elderly patients.Methods:This retrospective study continuously collected imaging and clinical data from elderly patients suspected of having acute pulmonary embolism (APE)who underwent low-iodine contrast CTPA at the emergency department and inpatient department of Beijing Hospital from February 2022 to July 2023.A total of 80 patients were included in the study.Based on the reconstruction algorithm utilized during the CTPA examination, the patients were divided into two groups: the adaptive iterative dose reduction using three-dimensional processing(AIDR 3D)group and the FIRST group, with 40 cases in each group.We measured the average CT value and noise value of the pulmonary artery at various positions in both groups on axial images, calculated the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR), and recorded the average tube current and effective radiation dose for both patient groups.Two observers independently performed subjective scoring on the display of the pulmonary artery in each group using a blind method.Results:There were no statistically significant differences in age, body mass index (BMI), gender, and the extent of pulmonary embolism between the AIDR 3D group and the FIRST group (all P>0.05).In comparison to the AIDR 3D group, the FIRST group exhibited a significantly lower tube current[(220.2±84.5) mA vs.(264.1±81.2) mA, t=0.463, P=0.020], resulting in an effective radiation dose reduction of 15.7%[(1.39±0.49) mSv vs.(1.65±0.41) mSv, t=0.072, P=0.043].No statistically significant differences were observed in the mean CT values, noise values, and SNR values of the main pulmonary artery, left and right pulmonary trunks, and lobar and segmental pulmonary arteries between the AIDR 3D group and the FIRST group (all P>0.05).The CNR of the AIDR 3D group was lower than that of the FIRST group in both the left and right segmental pulmonary arteries( Z=-2.473, -1.973; P=0.013, 0.049), while no significant differences were found in the other pulmonary arteries(all P>0.05).In patients with normal BMI, the FIRST group demonstrated higher CNR values in both the left and right segmental pulmonary arteries compared to the AIDR 3D group( Z=-2.008, -2.662, P=0.046, 0.007), whereas the improvement in CNR was not significant in overweight and obese patients(all P>0.05).The two radiologists provided consistent subjective evaluations in scoring(Kappa=0.744, P<0.001), and there was no statistically significant difference in subjective scores between the AIDR 3D group and the FIRST group ( χ2=0.346, P=0.770). Conclusions:The imaging technique that integrates automatic tube current modulation technology with NI, the FIRST reconstruction algorithm, and a low tube voltage of 100 kVp effectively ensures image quality by providing clear visualization of pulmonary arteries at all levels.Moreover, it reduces radiation dose during low-iodine contrast agent CTPA examinations in elderly patients with APE.

Objective:To explore the efficacy and safety of negative-pressure wound therapy (NPWT) in treating infected wounds in orthopedic trauma patients.Methods:China National Knowledge Infrastructure, China Biomedical Literature Database, Wanfang Data Knowledge Service Platform, PubMed, Web of Science, Cochrane Library, and CINAHL were searched for randomized controlled trials (RCT) and cohort studies examining the impact of NPWT on wound healing in orthopedic trauma infections. The retrieval time was from the establishment of the databases to October 2024. RevMan 5.4 software was used for Meta-analysis. The patients were divided into two groups according to different treatment methods: the intervention group, treated with NPWT, and the control group, treated with conventional treatment. The observed indicators included clinical efficacy, wound healing quality, length of hospital stay, wound healing time, incidence of complications, secondary surgery rate, and duration of antibiotic use. Publication bias analysis was performed on the observed indicators through Begg and Egger tests.Results:A total of 13 studies were included, comprising 11 RCT and 2 cohort studies, involving a total of 3 538 patients, with 1 762 in the intervention group and 1 776 in the control group. The meta-analysis results indicated that the intervention group had better clinical efficacy ( OR=7.08, 95% CI 5.31, 9.45, P<0.01), higher wound healing quality ( MD=4.15, 95% CI 3.99, 4.32, P<0.01), shorter length of hospital stay ( MD=-13.38, 95% CI -14.39, -12.38, P<0.01), shorter wound healing time ( MD=-8.11, 95% CI -10.22, -6.00, P<0.01), lower incidence of complications, lower secondary surgery rate ( OR=0.22, 95% CI 0.09, 0.57, P<0.01), and shorter duration of antibiotic use ( MD=-7.61, 95% CI -8.06, -7.16, P<0.01) when compared with the control group. No significant publication bias was observed in the aforementioned indicators ( P>0.05). Conclusion:Compared with the conventional treatment, NPWT can enhance the clinical efficacy and wound healing quality of infected wounds in orthopedic trauma patients, shorten length of hospital stay and wound healing time, reduce the incidence of complications and secondary surgery rates, and shorten the duration of antibiotic use.

Objective:To translate and adapt the postoperative recovery in children (PRiC) scale, developing a Chinese version for children undergoing dental treatment under general anesthesia (PRiC-DTGA) with validated psychometric properties.Methods:The PRiC scale underwent forward-backward translation using Brislin′s model. A convenience sample of DTGA patients from the Department of Anesthesiology, School of Stomatology, The Fourth Mility Force Medical University was enrolled for a cross-sectional survey on postoperative complications. Delphi expert consultation informed cultural adaptation based on survey findings to develop the PRiC-DTGA Chinese version. Psychometric validation included reliability and validity testing in a separate DTGA cohort at the same center (April-October 2024).Results:Results from the cross-sectionalsurvey of 231 children showed that 82.7% (191/231) of them hadat least one postoperative complication within 72 hours, and these complications were mainly mild local symptoms. Additionally, 358 copies of the Chinese version of the PRiC-DTGA scale were distributed; 21 invalid questionnaires with incomplete information were excluded, and a total of 337 cases were included inthe study. The final PRiC-DTGA comprised 22 items across three dimensions including physical comfort, social ability, and negative emotional. Exploratory factor analysis (EFA) confirmed all factor loadings>0.4. Confirmatory factor analysis (CFA) demonstrated adequate fit: χ 2/df=1.665, tucker-Lewis index (TLI)=0.924, comparative fit index (CFI)=0.896, standardized root mean square residual (SRMR)=0.041, and root mean square error of approximation (RMSEA)=0.044 (90% CI: 0.035-0.053). Reliability was strong with Cronbach′s α (total scale)=0.853, subscale α=0.632-0.723, split-half reliability=0.824. Validity indices met standards: scale-content validity index (S-CVI)=0.909, Item-CVI range=0.944-1.000, average variance extracted (AVE)=0.473-0.501, composite reliability (CR)=0.830-0.913. Conclusions:The systematically adapted PRiC-DTGA demonstrates robust reliability and validity, serving as an effective tool for assessing postoperative recovery quality in Chinese children following DTGA.

Objective: To explore the relationship of physical activity (PA) and sedentary behavior (SB) with cardiorespiratory fitness (CRF) among middle schoold students in Tibet, so as to provide empirical references for improving the cardiorespiratory fitness and health levels of adolescents in Tibet. Methods: From August to December 2020, 1 225 junior and senior high school students were selected from 2 middle schools in Lhasa, Tibet Autonomous Region, using the stratified cluster random sampling method. Triaxial accelerometers were used to evaluate PA and SB behaviors, and the 20 meter shuttle run was employed to assess CRF among the middle school students. Isochronous substitution modeling was used to analyze the associations of SB, low intensity physical activity (LPA), and moderate vigorous physical activity (MVPA) with CRF, and the saturation threshold effect in the dose response relationship between MVPA and CRF was analyzed through restricted cubic spline and two stage linear regression. Results: After adjusting for covariates such as gender, body mass index and sleep quality score, isotemporal substitution analysis showed that among junior high school students aged 13-15, replacing 30 minutes of SB ( B =1.73) or LPA ( B =2.38) with MVPA were positively associated with CRF (both P <0.05). Among senior high school students aged 16-18, replacing SB ( B =0.99) or LPA ( B =1.38) with MVPA were also positively associated with CRF (both P <0.05). Restricted cubic spline and two piecewise linear regression analyses indicated that only middle school girls aged 13-18 exhibited a saturation threshold effect between MVPA and CRF (logarithmic likelihood ratio test=0.03), with the optimal CRF improvement observed at 60 minutes of MVPA per day ( B=0.13, P ＜ 0.01). Conclusions Reducing SB and LPA while increasing MVPA can improve CRF in Tibetan middle school students. To maximize CRF improvement, middle school girls should engage in at least 60 minutes of MVPA daily.