Objective: To systematically evaluate the therapeutic efficacy and maintenance effects of digital psychological therapies on depressive symptoms among adolescents, so as to provide a reference for clinical practice. Methods: Randomized controlled trial(RCT) investigating digital psychological therapies to improve depressive symptoms among adolescents were searched across databases, including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang database, VIP database, and SinoMed, from database inception to November 20, 2025. Following literature screening, quality assessment, and data extraction, a Meta analysis was performed using Stata 18.0 software. Results: A total of 20 studies involving 2 042 adolescents aged 11-19 were included. The Meta analysis revealed that digital psychological therapies significantly alleviated depressive symptoms in adolescents ( SMD =-0.59, 95% CI =-0.85 to -0.32, P <0.01). The therapeutic effect was sustained at long term follow up ( SMD =-0.21, 95% CI =-0.34 to -0.09, P <0.01). Furthermore, depression scores in the intervention group showed a continued decrease from post intervention to long term follow up ( SMD =-0.28, 95% CI =-0.41 to -0.14, P <0.01). Egger s linear regression test indicated possible publication bias (Kendall s tall=0.28, P <0.01). Conclusions Digital psychological therapies can effectively improve depressive symptoms among adolescents, with stable long term efficacy. However, current evidence remains limited and exhibits substantial heterogeneity. Therefore, further large sample, high quality RCTs are warranted to validate the effectiveness of this intervention.

ObjectiveTo investigate the metabolic alterations of serum short chain fatty acids （SCFAs） in pediatric patients with atopic dermatitis （AD） and their correlation with different clinical phenotypes using targeted metabolomics. MethodsThis study enrolled 87 AD patients and 67 healthy controls （HC）. Serum levels of eight SCFAs were quantified by ultra-high-performance liquid chromatography-mass spectrometry. The associations between SCFAs and AD were assessed using various statistical methods. ResultsCompared with the HC group， levels of acetic acid （AA）， propionic acid （PA）， and caproic acid （CA） （P=0.002，P=0.002，P=0.043） decreased in the AD group. Logistic regression analysis identified AA （OR=0.449， 95% CI： 0.289–0.698） and PA （OR = 0.487， 95% CI： 0.324–0.732） as protective factors against AD. The combination of AA and PA yielded an area under the curve （AUC） greater than 0.7， indicating good diagnostic efficacy. Age-stratified analysis revealed that AA reduction was predominant in childhood， whereas PA reduction was predominant in adolescence. Pathway enrichment analysis showed significant enrichment of fatty acid biosynthesis （FDR=0.341， P=0.003） and vitamin K metabolism （FDR=1， P=0.039） pathways. Furthermore， subgroup analyses based on disease severity， personal/family history of atopy， and sex revealed no significant differences in SCFAs levels among the groups. ConclusionDifferential serum SCFAs and their enriched metabolic pathways may be implicated in the pathogenesis of AD.

In March 2024, three male and two female specimens of the genus Lispe were intercepted on cargo ships inbound for Wan Zai Port under Gongbei Customs. Based on morphological characteristics and molecular analysis, the specimens were identified as Lispe pumila. In this study, we describe the morphological features, diagnostic characteristics, and geographical distribution of L. pumila, with the aim of providing a reference for the identification of this species when intercepted at ports.

ObjectiveThe frequency difference limen (FDL) serves as a fundamental metric utilized for effectively quantifying the precise perceptual capabilities of the central auditory system. However, traditional measurement methods rely heavily on the active behavioral responses of subjects and are consequently highly susceptible to the negative influence of confounding subjective factors. Furthermore, existing research paradigms frequently employ uniform stimulus configurations that overlook critical individual perceptual differences. Based on brain-computer interface (BCI) technology, this comprehensive study aims to establish an objective and quantitative evaluation method for auditory frequency discrimination by systematically analyzing and decoding the specific neural responses elicited at the exact threshold state. MethodsWe designed a personalized rapid serial auditory presentation (RSAP) paradigm customized based on each individual’s precise FDL. A cohort of eleven healthy participants was recruited to evaluate the paradigm using pure-tone sequences at a baseline frequency of 4 000 Hz. This experimental paradigm simulates a realistic auditory perception environment through the continuous presentation of acoustic stimuli, thereby allowing for an in-depth investigation into the specific neural representations evoked by weak frequency deviations at the threshold state. Given that auditory stimulus-evoked response features exhibit complex and differentiated spatiotemporal distribution patterns across multiple frequency domains, this study further deeply integrates the cross-scale feature interaction module with the dynamic spatiotemporal attention allocation strategy, innovatively proposing the Multi-Scale Spatial-Temporal Dual Attention Network (MS-STAMNet). Specifically, the network constructs parallel processing branches with multiple receptive fields and introduces a dynamic adaptive weighting strategy to precisely localize core neural activity signals, further deeply integrating multi-scale information through cross-branch feature information interaction to achieve robust single-trial decoding of weak auditory evoked responses. ResultsThe comprehensive electrophysiological data analysis demonstrated that subtle auditory frequency deviation stimuli presented at the threshold level successfully elicited pronounced N2 and P3 event-related potential features, reflecting pre-attentive mismatch detection and subsequent cognitive evaluation, which were prominently distributed over the frontal, central, and temporal regions of the scalp. In the complex time-frequency domain, the extracted neural response characteristics exhibited distinct, statistically significant event-related synchronization within both the low-frequency δ and θ frequency bands, which was simultaneously accompanied by a widespread, prominent event-related desynchronization within the higher α band. A comparative analysis of model performance demonstrated that MS-STAMNet achieved an average unweighted average recall (UAR) of (69.67±6.12)% and area under the curve (AUC) of 0.761 8±0.07, significantly outperforming the established baseline models such as EEGNet and PLNet. Furthermore, a distinct dissociation phenomenon was verified between neural decoding and behavioral performance through regression analysis (R²=0.016, P=0.709), indicating that this model can effectively capture the implicit features of subtle frequency deviations, even when they fail to trigger explicit conscious responses. Additionally, attention weight visualization analysis further reveals the highly accurate focus of the network on key features concentrated over the bilateral temporal and fronto-parietal regions. ConclusionThis study systematically and comprehensively uncovers the multi-dimensional spatiotemporal evolutionary patterns of complex neural responses processing subtle acoustic variations under long-sequence threshold auditory stimulation. Concurrently, it verifies the efficacy and robustness of the proposed MS-STAMNet architecture in accurately deciphering weak, single-trial electroencephalogram signals amidst complex background noise. Ultimately, these neurophysiological and algorithmic findings lay a solid theoretical and methodological foundation for the objective and quantitative evaluation of individual auditory cognitive capabilities in clinical applications, transcending the fundamental limitations of traditional behavioral paradigms and providing robust technical support for future auditory research and related clinical assessments.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.

This review delves into the pivotal role of necrotic apoptosis in Alzheimer's disease(AD),with a focus on treatment strategies,drug development,prospects,and challenges,highlighting its significance in the progression of the disease.Firstly,necrotic apoptosis plays a crucial role in the pathogenesis of AD,particularly in association with the abnormal metabolism of β-amyloid(Aβ)and Tau proteins.The primary focus of drug design is to regulate the metabolism pathways of these two proteins to slow down or inhibit the progression of necrotic apoptosis.Secondly,the progress in drug development further emphasizes the importance of necrotic apoptosis in treating AD.Current research mainly focuses on drugs that affect the metabolism of Aβ and Tau proteins,such as lecanemab.Still,inconsistent result underscore the necessity for a more comprehensive understanding of the molecular mechanisms of necrotic apoptosis.Finally,the prospects and challenges of necrotic apoptosis research in AD are thoroughly discussed.A deeper understanding of necrotic apoptosis contributes to a better comprehension of the pathological mechanisms of AD but also may reveal new therapeutic targets.However,challenges such as multifactorial influences and the selection of treatment timing necessitate further in-depth research in the future.In conclusion,this review advocates for future research to deepen the understanding of the molecular mechanisms of necrotic apoptosis,enhance research on treatment strategies,gain a deeper understanding of its cross-regulation with other cell death pathways,and promote collaboration between basic research and clinical practice to advance the comprehensive understanding and treatment of Alzheimer's disease and necrotic apoptosis.

ObjectiveTo evaluate the efficacy of Sanhua essential oil inhalation as aromatherapy in patients with breast cancer-related depression.MethodsIn total, 144 patients with breast cancer-related depression who underwent postoperative chemotherapy were recruited. The participants in the control group (n = 52) were offered a placebo (sunflower oil) daily, whereas those in the essential oil group (n = 52) were administered Sanhua essential oil. This study evaluated depression improvement, Hamilton Depression Scale score, scores of symptoms in traditional Chinese medicine (TCM), Pittsburgh Sleepiness Quotient Index score, incidence of nausea and vomiting, and signal changes on functional magnetic resonance imaging.ResultsDepression improved by 48.1% and 21.2% in the essential oil and control groups, respectively (P = .010). The Hamilton Depression Scale score (P = .017), scores for symptoms in TCM (P = .002), and the incidence of nausea and vomiting in the acute and delayed phases were lower in the essential oil group than in the control group (nausea in the acute phase, P = .017; nausea in the delayed phase, P = .039; vomiting in the acute phase, P = .008; vomiting in the delayed phase, P = .081). The Pittsburgh Sleepiness Quotient Index score was lower in the essential oil group than in the control group (P = .005). Significant differences existed between the two groups in the left superior parietal gyrus, right precuneus, left dorsolateral superior frontal gyrus, and right precentral gyrus according to functional connectivity on functional magnetic resonance imaging.ConclusionInhalation of Sanhua essential oil alleviated depression in patients undergoing chemotherapy for breast cancer, improved sleep quality, relieved TCM symptoms, reduced nausea and vomiting, and regulated activities in the brain regions.

Objective To evaluate the clinical effectiveness and safety of different traditional Chinese medicine(TCM)prescriptions combined with conventional western drugs to improve idiopathic membranous nephropathy(IMN)based on the Chinese medicine evidence system.Methods A computerized search of databases was conducted to collect randomized controlled trials(RCTs)of TCM compound formulas combined with conventional western medicines for the treatment of IMN,with a search timeframe from the establishment of the database to October 2023.Thirty-five RCTs involving six interventions and containing 2518 IMN patients were finally included.The quality of the included literature was evaluated.Reticulated Meta-analysis was performed,and surface under the cumulative ranking(SUCRA)curve was used to rank the clinical efficacy and safety of the six interventions,aiming to provide an evidence-based basis for the rational clinical selection of prescriptions for treating patients with IMN.Results The formula of tonifying deficiency and eliminating stasis combined with conventional western medicine showed significant effects in lowering 24-hour urine protein quantification(SUCRA=95.3％)and total cholesterol level(SUCRA=98.2％).The formula of tonifying deficiency,eliminating stasis,purging heat,and dispelling dampness combined with conventional western medicine was effective in lowering blood creatinine(SUCRA=80.4％)and increasing serum albumin level(SUCRA=72.9％).The formula of tonifying deficiency and clearing heat and dampness combined with conventional western medicine was more effective in lowering M-type phospholipase A2 receptor antibody titer(SUCRA=86.0％).Conclusion In terms of safety,the adverse effects of the TCM compound formula combined with conventional western drugs were overall less than those of conventional western drugs alone.

Objective To compare the detection rate and safety of transrectal cognitive fusion prostate biopsy and trans-perineal multiparametric MRI-transrectal ultrasound(mpMRI-TRUS)fusion-guided prostate biopsy.Methods The clinical data of 462 patients who underwent mpMRI at the Eastern Theater Command General Hospital from June 2021 to May 2025 were analyzed retrospectively.All patients had at least one suspicious lesion with a PI-RADS score ≥3 and subsequently underwent targeted prostate biopsy.The results of targeted biopsy combined with systematic biopsy were defined as the combined biopsy re-sults.The PCa detection rate,clinically significant PCa(csPCa)detection rate and incidence of complications were compared be-tween the two groups.Diagnostic performances of systematic,targeted and combined biopsies were also compared between the two approaches.Results In targeted biopsy,the transperineal group had significantly higher PCa and csPCa detection rates than those of the transrectal group(48.11％vs 38.19％,and 39.31％vs 29.17％,P＜0.05).There was no significant difference between the two groups in PCa and csPCa detection rates for systematic or combined biopsy(P＞0.05).The inci-dence rate of postoperative complications in the transperineal group was significantly lower than that of the transrectal group(14.78％vs 23.61％,P＜0.05).The detection rate of combined approach was significantly higher than that in either systemat-ic or targeted biopsy alone(P＜0.05).Conclusion Compared to the transrectal approach,transperineal mpMRI-TRUS image fusion-guided prostate biopsy demonstrates greater safety and higher accuracy in targeted biopsy.The combined biopsy strategy can effectively reduce the risk of missed diagnoses in patients with PCa.

Objective To observe the performance and safety of self-developed real-time three-dimensional intracardiac echocardiography(ICE)system(system).Methods The self-developed system was constructed using disposable sterile real-time three-dimensional ICE catheter(catheter)and multifunctional cart-mounted digital ultrasound imaging host(ultrasound host).The diameter of catheter was 10F,with effective length of 90 cm and two-dimensional array transducer array(840 elements)integrated at tip.The ultrasound host was connected to the catheter through matching connector.The performance of this system was evaluated with self-made experimental equipment and standard phantom,and live animal experiment was performed to observe its safety and imaging quality.Results The maximum imaging depth of this system was ≥60 mm.Its axial resolution was ≤1 mm and lateral resolution was ≤1 mm within the depth of 40 mm,the horizontal and vertical geometric position accuracy errors were ≤10％and ≤5％,respectively,while the image geometric distortion was ≤10％,and the measurement volume error was ≤30％.The catheter was successfully inserted into right atrium of pig through femoral vein under ultrasound guidance,smoothly passing through the vascular pathway without any bending or jamming with good controllability.The cardiac images of this system were clear,which completely displayed cardiac chamber structures,and the image resolution met diagnostic requirement.No injury related to interventional procedures was found in laboratory tests nor anatomical results.Conclusion The self-developed ICE system was stable and safe,and initial results showed it could meet clinical application expectations.