Background As one of the most severe occupational diseases in China, pneumoconiosis is significantly burdened by its complications, which adversely affects patients' quality of life. Objective To identify the influencing factors of complications in pneumoconiosis and to construct an early prediction model for pneumoconiosis complications, providing theoretical guidance for clinical diagnosis, treatment, and rehabilitation. Methods A case-control study was conducted using data from the Chongqing 5G Pneumoconiosis Rehabilitation Management Information Platform. A total of 1872 pneumoconiosis patients with complications, who received rehabilitation at various rehabilitation stations in Chongqing from January 2021 to December 2024, were enrolled as the case group. Concurrently, 2348 patients without complications from the same platform and period were included as the control group. Univariate analysis, LASSO regression, and logistic regression were employed to identify influencing factors for complications. An extreme gradient boosting (XGBoost) model was trained using ten-fold cross-validation to predict pneumoconiosis complications. The SHapley Additive exPlanations (SHAP) method was applied for model visualization. Results The analysis of influencing factors revealed that increased age, silicosis type, advanced stage of pneumoconiosis, dependence in activities of daily living, abnormal muscle strength, increased dyspnea index, presence of cough, viscous sputum, impaired cardiac function, severe abnormality in the 6-minute walk test (6MWT), and increased Borg score were risk factors for complications (P<0.05). The XGBoost model demonstrated an area under the curve (AUC) of receiver operating characteristic of 0.718, and a Brier score of 0.211 for the calibration curve. Decision curve analysis demonstrated a superior net benefit within the threshold probability range of 0.2 to 1.0 compared to "all-patient intervention" and "no-patient intervention" strategies, indicating good predictive performance and significant clinical utility. SHAP visualization identified the top six important features as Borg score, age, 6MWT, muscle strength, pneumoconiosis stage, and cough symptoms. Conclusion Multiple factors influence the occurrence of complications in pneumoconiosis patients. Clinical attention should be focused on elderly patients with decreased cardiopulmonary reserve, pronounced respiratory symptoms, and diminished muscle strength. The XGBoost model demonstrates satisfactory discrimination, calibration, and clinical applicability in predicting pneumoconiosis complications and may serve as a useful reference for clinical decision-making.

Renal Fanconi syndrome (FS) is a rare renal manifestation of primary Sjögren's syndrome (pSS). This study aims to analyze the clinical and prognostic characteristics of patients with pSS-associated renal FS (pSS-FS) and provide insights for clinical management.

Bronchiolar adenoma (BA) is a rare type of lung tumor characterized by bilayered epithelial cells having a continuous basal layer and a luminal layer. It resembles mucinous adenocarcinoma (MA) on frozen section, with difficulty in distinguishing the basal layer. Immunohistochemistry is the best choice for verifying the diagnosis. This study aimed to comprehensively characterize three cases of BA-combined carcinoma using clinical, histopathological, and genetic features. BA and carcinoma sections were subjected to next-generation sequencing, respectively. It was hypothesized that while different mutation forms matched different regions, BA and lung adenocarcinoma shared the same gene mutation when they co-occurred in the same location. BA with extensive carcinoma is extremely rare and presents diagnostic challenges due to its overlap with conditions such as MA. Because of its distinctive morphological characteristics, BA may be regarded as a low-grade malignancy, particularly during a confusing evaluation. A multifaceted examination of clinical, radiological, immunohistochemical, and genetic data is necessary for an accurate diagnosis.

Intelligent prescription recommendation has become an important research direction in traditional Chinese medicine (TCM), offering new opportunities to support clinical decision-making and promote the modernization of TCM practice. With the rapid development of artificial intelligence (AI), a variety of computational approaches have been proposed to learn prescription patterns from clinical data and generate personalized treatment recommendations. However, despite increasing research activity, systematic and comprehensive reviews of AI-driven methods for TCM prescription recommendation remain limited. In this study, we present a comprehensive review of computational approaches for herbal prescription recommendation (HPR) in TCM. Existing methods are systematically categorized into several major paradigms, including traditional machine learning methods, topic model methods, sequential generative methods, deep learning and graph-based methods, and large language model–based frameworks. In addition to summarizing methodological developments, we also review commonly used public datasets and evaluation metrics in this field. Furthermore, representative models with publicly available implementations are experimentally evaluated on multiple benchmark datasets to provide a comparative analysis of their performance on the HPR task. Finally, we discuss the key challenges that hinder the practical deployment of intelligent prescription recommendation systems, including data heterogeneity, limited interpretability, and insufficient integration of TCM domain knowledge. Future research directions are outlined to facilitate the development of more reliable, interpretable, and clinically applicable AI-assisted HPR systems for TCM.

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 investigate immunotherapy effects and mechanism of BCG and recombinant BCG(rBCG)with c-di-AMP as adjuvant on melanoma in mice model.Methods:Melanoma mice model was established by B16F10 cell subcutaneous injec-tion in groin,and treated with 1×106 CFU of BCG and rBCG by adjacent injection of subcutaneous tumor for 3 times,respectively.Survival of melanotic mice,tumor growth and metastasis were observed.Tumor tissues of mice were isolated to prepare cell suspen-sion,and proportion of immune cells were detected by flow cytometry.Transcriptional levels of immune-related genes in tumor tissues were detected by qRT-PCR.Results:Both BCG and rBCG immunotherapy could significantly inhibit growth in melanoma mice and prolong survival time of mice.rBCG showed better inhibition on metastasis than BCG.Both strains significantly reduced proportion of M2-type macrophages and myeloid-derived suppressor cell associated with tumor growth and metastasis.Both two strains promoted infiltration of lymphocytes in tumor tissues,and rBCG significantly increased proportion of B cells in tumor.BCG immunotherapy upregulated transcription levels of metastasis-related cytokines,while rBCG therapy had no effects on transcriptions of these genes.Conclusion:Both BCG and rBCG have immunotherapeutic effects on melanotic mice,and rBCG with c-di-AMP as adjuvant shows better inhibition on tumor metastasis than BCG,which mechanism was related to regulation of immune response in tumor tissues.

Objective To establish a hydraulic system model of the aqueous humor circulation in the human eye and explore the characteristics of aqueous humor flow and intraocular pressure changes under various types of glaucoma and surgical conditions.Methods A hydraulic system model of aqueous humor circulation was constructed using AMESim software based on ocular structural parameters to simulate the fluid dynamics of aqueous humor in three types of glaucoma and their surgical interventions.Results Significant elevation in intraocular pressure was observed with pathological changes such as trabecular meshwork obstruction,anterior chamber angle contraction,and narrowing of the iris-lens gap.Through simulations of surgical interventions,including trabeculectomy,iridectomy,and ciliary body ablation,aqueous outflow resistance was effectively reduced,leading to a controlled intraocular pressure.Conclusions By successfully simulating both the pathological conditions of glaucoma and the dynamic intraocular pressure changes under surgical interventions,the hydraulic system model accurately reflects the physiological characteristics of glaucoma.The model not only predicts the effects of therapeutic interventions,but also provides reliable simulation support for the diagnosis and optimization of treatment strategies for glaucoma.

On the occasion of the 110th Anniversary of the establishment of the Chinese Medical Association, the third conference of the Fourth Editorial Board of Chinese Journal of Digestive Surgery, and the Second Elite Group of Chinese Journal of Digestive Surgery, was successfully held in Kunming on July 4, 2025. This conference systematically summarizes the development experience of the journal over the past 20 years from three aspects: the role of ecological construction of thought in the discipline construction of digestive surgery, the display of the latest academic achievements in the field of digestive surgery, the development difficulties, and breakthrough paths of the discipline, and strategically plans the path of discipline construction in the new era.

Objective To evaluate the correlation between soluble programmed cell death-ligand 1(PD-L1)and clinical features of patients with unstable angina pectoris(UAP),and analyze its correlation with prognosis.Methods A total of 171 UAP patients treated in our hospital from April 2021 to October 2023 were recruited retrospectively,and according to adverse cardiovascular events occurred or not within 6 months of follow-up,they were divided into good prognosis group(137 cases)and poor prognosis group(34 cases).Fasting venous blood sample of 4 ml was collect-ed to detect the levels of soluble PD-L1,LDL-C,HDL-C,hs-CRP,hs-cTnI,IL-6,IL-10 and TNF-α.Pearson correlation analysis was used to analyze the correlation between soluble PD-L1 level and clinical features of the UAP patients,and logistic regression model was employed to evaluate the correlation between soluble PD-L1 and the occurrence of adverse cardiovascular events in the UAP patients.ROC curve analysis was applied to evaluate its performance in predicting the clini-cal prognosis,and its AUC value was calculated.Results The poor prognosis group had signifi-cantly lower LDL-C level and LVEF value,but higher levels of HDL-C,hs-CRP,hs-cTnI,IL-6,IL-10,TNF-α and soluble PD-L1 than the good prognosis group(P＜0.05,P＜0.01).Pearson cor-relation analysis showed that soluble PD-L1 level was positively correlated with hs-CRP level(r=0.502,P=0.000).Multivariate logistic regression analysis indicated that the levels of hs-CRP,hs-cTnI and soluble PD-L1 were independent influencing factors for major cardiovascular adverse events in the UAP patients(OR=2.872,95％CI:1.069-7.717,P=0.036;OR=1.667,95％CI:1.022-2.717,P=0.040;OR=1.152,95％CI:1.023-1.297,P=0.019).ROC curve anal-ysis revealed that soluble PD-L1 had high predictive value for clinical prognosis of UAP patients,with an AUC value of 0.942,a sensitivity of 82.35％and a specificity of 94.16％.Conclusion The increased level of soluble PD-L1 increases the risk of major adverse cardiovascular events in UAP patients.Soluble PD-L1 can be used as a potential new biomarker to predict the clinical prognosis of patients.

Objective To evaluate the effectiveness,safety and economy of generic venlafaxine sustained-release capsules and the original drug in clinical practice based on real world clinical data.Methods This is a multicenter,retrospective real-world study.The information of outpatients who used venlafaxine sustained-release capsules in 7 hospitals from October 2021 to October 2022 was collected,including prescription data and laboratory data.They were divided into generic drug group and original drug group.After the baseline level was corrected by propensity score match method,the prescription daily dose,plasma concentration,medication possession ratio,the continuous medication rate for 3,6 and 9 months,dressing change rate,the incidence of adverse reactions,the frequency of drug use,the average daily cost,the annual cost per capita and the proportion of the average annual cost of drugs were compared between the two groups.Results After the baseline level was corrected by propensity score matching method,the prescription daily dose and medication possession ratio(MPR≥0.8)in the generic drug group were higher than that of the original drug group(P＜0.05).There was no statistically difference in plasma concentration between the two groups(P=0.294).The continuous medication rate for 3,6 and 9 months in the generic drug group were statistically higher than those in the original drug group(P＜0.01).The single dressing change rate of the generic drug group was lower than that of the original drug group(P=0.032).There was no significant difference in the rate of secondary dressing change between the two groups(P=1.000).There were no significant differences in the incidence of abnormal ALT,AST,TC,Na,APTT,and PLC between two groups(P＞0.05).The average daily cost of the generic drug group was lower than that of the original drug group.The per capita annual cost of drugs and the proportion of average annual cost of drugs in the generic drug group were significantly lower than those in the original drug group(P＜0.01).Conclusion In the actual clinical diagnosis and treatment,no clinically significant differences in effectiveness and safety were found between the generic venlafaxine sustained-release capsule and the original-patented,while the economic advantages of the generic drug were better than that of the original-patented drug.