Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder primarily caused by pathogenic variants in the TSC1 or TSC2 genes. It is characterized by multisystem hamartomatous lesions and neuropsychiatric manifestations. Here we report a young male patient with TSC involving multiple organs, caused by a heterozygous frameshift mutation in TSC2 (c.2071delC, p.Arg691Alafs^*7). The patient initially presented with classic facial angiofibromas and hypomelanotic macules, and subsequently developed psychiatric and behavioral disturbances with auditory hallucinations. Neuroimaging revealed an intracranial mass lesion, which was confirmed as a subependymal giant cell astrocytoma on postoperative histopathology following surgery performed at an outside institution. After admission, the patient underwent a comprehensive diagnostic workup, and multidisciplinary treatment evaluation revealed extensive multisystem involve-ment, including the nervous system, skin, kidneys, lungs, heart, eyes, pancreas, liver and bones. Combined with relevant literature, this article discusses the molecular mechanisms, clinical phenotypes, and comprehensive management of TSC, in order to provide a reference for the standardized and individualized management of this disease.

Methods: Cervical radiographs were analyzed. EOP hyperplasia was classified into three subtypes with standardized length measurements. Variables encompassed demographics, ONL-related indices, and sagittal parameters. Subtype comparisons and multivariate regression analyses (with EOP length as dependent variable) were conducted. Results: Analysis of 187 CSM patients (64.2% male) identified gender-specific patterns: males exhibited greater EOP length (9.4±6.8 mm vs. 4.6±3.4 mm, p<0.001). Type III EOP demonstrated male predominance (82.4% vs. type I 31.8%, type II 51.4%; p<0.001), with associated longer hyperplasia length (11.6±6.6 mm vs. type II 5.1±1.9 mm, p<0.001). Type III EOP was associated with higher ONL prevalence (type III 64.8% vs. type I 45.5%, type II 41.9%; p=0.010) and longer ONL osteophyte length (type III 18.8±9.8 mm vs. type I 14.2±8.1 mm, type II 14.2±9.4 mm; p=0.046). Multivariate regression confirmed male sex (β=–3.82, p=0.009), ONL osteophyte length (β=0.16, p=0.017), T1 slope (β=0.27, p=0.041), and spino-cranial angle (β=–0.19, p=0.009) as factors independently associated with EOP length (adjusted R²=0.382). Conclusions Severe EOP hyperplasia exhibits a male-predominant distribution pattern and demonstrates significant radiological associations with ONL and cervical sagittal imbalance in CSM patients. These findings advocate for EOP evaluation in clinical evaluations to identify high-risk biomechanical profiles.

ObjectiveTo explore the value of a multimodal MRI-based radiomics nomogram for differentiating human epidermal growth factor receptor-2 （HER-2） negative breast cancer molecular subtypes.MethodsA retrospective analysis was conducted on 190 patients with HER-2 negative breast cancer who underwent multimodal MRI examination， and the patients were divided into two molecular subtype groups： a HER-2 low expression group （n=108） and a HER-2 zero expression group （n=82）. The cases were randomly stratified and sampled at a ratio of 7∶3 and divided into a training set of 133 cases and a testing set of 57 cases. The clinical and radiological features of the patients were collected， the radiomics features based on T2-weighted imaging （T2WI）， diffusion-weighted imaging （DWI）， and dynamic contrast-enhanced （DCE）-MRI were extracted， and the clinical-radiological model， unimodal radiomics model， multimodal radiomics model， and combined model were constructed respectively. Then the nomogram combined multimodal radiomics signature （radsocre） with clinical-radiological features was used to construct a visualized predictive model， and the area under the curve （AUC） was used to compare the effectiveness of different models in distinguishing HER-2 low expression and zero expression subtypes.ResultsA significant difference in radscore was demonstrated between the HER-2 low and HER-2 zero expression groups in both the training （P<0.000 1） and testing sets （P<0.01）. The AUC of the multimodal radiomics model in the training set and the testing set were 0.914 and 0.836， respectively， which was superior to any unimodal radiomics model. The nomogram demonstrated great diagnostic efficacy （AUC=0.930 in training set； AUC=0.865 in testing set）.ConclusionA multimodal MRI-based nomogram incorporating radsocre and clinical-radiological features can accurately distinguish the subtypes of HER-2 negative breast cancer.

OBJECTIVE To provide a reference for revising the safety content of traditional Chinese medicine（TCM） instructions. METHODS A systematic analysis was conducted on the relevant announcements on the revision of TCM instruction from 2013 to 2024， including the year of publication， drug name， drug formulation， announcement release time， and the average number of revisions made to three safety contents （contraindication， adverse drug reaction， and precaution）. According to the report data of national adverse drug reaction monitoring from 2013 to 2024， analyze the proportion of TCM in all adverse drug reactions， the composition ratio of adverse drug reaction of different dosage forms of drugs [TCM injection， oral TCM， other （topical） TCM]. RESULTS From 2013 to 2024， the National Medical Products Administration issued a total of 101 notices on the revision of TCM instruction， involving 241 types of TCM. Among them， there were 163 types of oral TCM， 25 types of TCM injection， and 53 types of other （topical） TCM. There were 3， 10 and 0 types of TCM injection， oral TCM， and other （topical） TCM with missing safety content， respectively. The main source of adverse drug reaction data for TCM injections was post- marketing monitoring data （accounting for 48.00%）； the main source of adverse drug reaction data for oral TCM was monitoring data （accounting for 71.17%）； 73.58% of other （topical） TCM did not mention the source of adverse drug reaction data. The report on national adverse drug reaction monitoring showed that the proportion of all adverse drug reactions of TCM had decreased from 17.3% in 2013 to 12.1% in 2024. Among them， the proportion of adverse drug reaction of TCM injection in the three dosage forms of TCM had decreased from 61.3% in 2015 to 24.6% in 2024， while the proportion of adverse drug reaction of oral TCM in the three dosage forms of TCM had increased from 34.7% in 2015 to 64.0% in 2024. CONCLUSIONS The risk management of TCM safety content has achieved results in China， but still faces three major challenges： strongdependence on passive monitoring， insufficient data traceability， and missing key content. It is urgent to improve safety content by dosage form， optimize data sources， and fully utilize real-world evidence to supplement safety content.

Objective: To explore the value of nomogram based on DCE-MRI radiomics combined with clinical-ra- diological features in predicting HR status in breast cancer with Her-2 low expression． Methods: A total of 198 pa- tients of Her-2 low expression breast cancer who underwent standardized breast MRI in our hospital from January 2019 to February 2025 were retrospectively analyzed．Patients were divided into HR ( + ) group ( n = 137) and HR ( －) group ( n = 61) ．The cases were divided into a training set ( 138 cases) and a testing set ( 60 cases) in a 7 ∶ 3 ratio．Clinical-radiological model was based on clinical and traditional radiological features，radiomics model was based on DCE-MRI，and combined model was constructed，respectively．The nomogram was drawn，and re- ceiver operating characteristic curve was used to compare the performance of different models in predicting HR sta- tus． Results: The DCE-MRI radiomics score ( Radscore) between the HR ( + ) group and the HR ( －) group showed statistical differences in both the training and testing sets ( both P＜0. 001) ．The AUC of the clinical-radio- logical model based on lesion mobility，Ki67，TIC type，enhancement pattern and maximum diameter for predicting HR status in the training set and testing set were 0. 643 and 0. 616，respectively．The AUC of the DEC-MRI ra- diomics model in the training set and testing set were 0. 897 and 0. 860，respectively．The nomogram drawn by combining clinical-radiological features and Radscore showed better predictive performance in both the training set ( AUC = 0. 913) and testing set ( AUC = 0. 898) than the clinical-radiological model ( all P＜0. 05) ． Conclusion The nomogram combined by DCE-MRI radiomics and clinical-radiological features can effectively predict HR sta-tus of breast cancer with low Her-2 expression，which is helpful to the building of individualized treatment plan for breast cancer patients．

Objective:To assess the impact of induction chemotherapy sensitivity on the prognosis and larynx preservation rates in patients with locally advanced hypopharyngeal cancer and to identify risk factors influencing induction chemotherapy sensitivity.Methods:This study included patients with locally advanced (stage III-IV) hypopharyngeal cancer who received induction chemotherapy as initial treatment at the Eye & ENT Hospital of Fudan University between August 2017 and September 2022. Based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1, enrolled patients were classified into the sensitive group and the resistant group according to their response to induction chemotherapy. Chi-square tests and Log-rank tests were used to compare the objective response rate (ORR), overall survival (OS), progression-free survival (PFS), and laryngeal preservation rate (LPR) between groups. Propensity score matching (PSM) was employed to accurately evaluate the impact of induction chemotherapy sensitivity on prognosis in real-world settings. Univariate and multivariate logistic regression analyses were performed to identify risk factors for induction chemotherapy resistance in locally advanced hypopharyngeal cancer.Results:A total of 197 patients with locally advanced hypopharyngeal cancer who received induction chemotherapy as initial treatment were included in, comprising 195 males and 2 females, with ages ranging from 36 to 74 years. Among them, 155 patients (78.68%) were classified into the sensitive group and 42 patients (21.32%) into the resistant group. The overall response rate (ORR) of induction chemotherapy in this cohort was 78.68%, with a five-year OS rate of 63.7%. The sensitive group had significantly better OS (mOS 6.32 vs. 5.05 year), PFS (mPFS 5.71 vs. 3.09 year) and a significantly higher LPR (91.6% vs. 69.0%) ( P<0.05). After propensity score matching, all covariates were balanced between the two groups, and the sensitive group showed significant improvement in OS ( P<0.05), while, no significant difference was observed in PFS and LPR between the two groups. Logistic regression analysis revealed that risk factors for induction chemotherapy failure in locally advanced hypopharyngeal cancer included: smoking status ( OR [95% CI]=4.751 [1.887-11.961]), tumor location in the posterior pharyngeal wall ( OR [95% CI]=2.988 [1.264-7.063]), and cN2-3 stage ( OR [95% CI]=3.641 [1.109-11.954]) ( P<0.05). Conclusions:Induction chemotherapy sensitivity significantly affects the prognosis of locally advanced hypopharyngeal cancer, which is influenced by various risk factors, including smoking status, tumor sublocation, and clinical N stage.

Objective To investigate the current status of quality of life and its influencing factors in elderly patients with minor amputations of the diabetic foot,providing a basis for medical staff to formulate intervention strategies.Methods A convergent mixed study design was used.A single-centre cross-sectional survey research method was used to select 168 elderly patients with minor amputation of the diabetic foot admitted to the Department of Wound Repair of a tertiary-level hospital in Beijing from May 2022 to May 2024 for questionnaire surveys and multivariate linear regression analyses of factors affecting the quality of life.During the same period,15 patients were selected for semi-structured interviews using purposive sampling based on ternary interaction determinism.Results Quantitative findings:A total of 167 valid questionnaires were retrieved,and the recovery rate of valid questionnaires was 99.4％.the total quality of life score of 167 respondents was(84.22±12.49)scores;the results of multivariate linear regression analyses showed that age and self-care ability were the independent risk factors affecting the quality of life of patients with minor amputation of the diabetic foot(P＜0.05).Qualitative findings:a total of 3 themes were extracted based on the triadic interactive determinism,including subject level,environmental level and behavioural level.Mixed findings:age and amputation affect the physical and mental state of patients and hinders quality of life improvement;limited work and life,and scarce external resources;the level of self-care ability restricts self-management behaviours and makes it difficult to improve quality of life.Conclusion Elderly patients with minor amputations of the diabetic foot have impaired physiological and psychological health to some degree,and healthcare professionals should be concerned about the negative impact of minor amputations on elderly diabetic foot patients,while also focusing on their individual needs and providing support.

Based on the medical AI solution system constructed by the DeepSeek series of large models(including but not limited to the R1/V3 versions),the innovative application of the DeepSeek in the medical field and its transformative impact on hospital management were systematically explored.Focusing mainly on the practical utility of this technology in medical process optimization,auxiliary decision and diagnosis and treatment support,and operation management.It deeply analyzes the practical application and compliance development path of DeepSeek in the field of hospital management.It aims to provide reference suggestions and guidance plans for optimizing and enhancing the DeepSeek in empowering hospital management.

[Objective]To construct a prediction model for brucellosis by using a deep neural network algorithm to improve the early detection.[Methods]We collected the clinical data of 202 brucellosis patients and 319 non-brucellosis patients admitted to Hohhot Occupational Disease Prevention and Treatment Hospital in 2023,and analyzed data such as gender,age,blood routine indices and clinical diagnosis.A prediction model for brucellosis was constructed by using a deep neural network algorithm and optimized through 10-fold cross-validation.Performance metrics included sensitivity,false negative rate,specificity,false positive rate,accuracy,positive predictive value,negative predictive value,F1 score,and area under the receiver operating characteristic curve(AUC).The optimal model was interpreted by using SHapley Additive exPlanations(SHAP)to clarify decision-making logic and feature influencing mechanisms.[Results]Data visualization analysis revealed no significant difference between brucellosis and non-brucellosis groups.The optimal model demonstrated good performance:sensitivity(85.3%),specificity(92.1%),accuracy(89.5%),AUC(96.6%),95%CI(0.937,0.977).SHAP analysis identified age,platelet count,mean platelet volume,basophil ratio,red blood cell distribution width,and absolute basophil count as significant predictors of brucellosis.[Conclusions]The deep neural network prediction model constructed in this study has good performance and can provide reliable support for the early diagnosis,prevention and control of brucellosis.Identification of key brucellosis-related influencing features will help further understand the pathogenesis of the disease,and this model holds promise for broad clinical application in the future.

Objective To investigate the diagnostic value of serum silent information regulator factor 2-re-lated enzyme 1(SIRT1)and histone deacetylase 4(HDAC4)levels in sepsis complicated with acute kidney in-jury(AKI).Methods From January 2019 to December 2023,120 patients with sepsis complicated with AKI(AKI group)and 60 patients with simple sepsis(non-AKI group)were selected as the study objects.Clinical data of the two groups were collected,and serum SIRT1 and HDAC4 levels were detected by enzyme-linked immunosorbent assay.With sepsis complicated with AKI as the dependent variable,multivariate Logistic re-gression was used to analyze the influencing factors,and receiver operating characteristic(ROC)curve was drawn to evaluate the diagnostic efficacy of serum SIRT1 and HDAC4 levels in sepsis complicated with AKI.Results Compared with non-AKI group,serum SIRT1 level was decreased and HDAC4 level was increased in AKI group,the differences were statistically significant(P＜0.05).Compared with non-AKI group,the pro-portion of septic shock,kidney replacement therapy,sequential organ failure assessment(SOFA)score and se-rum creatinine level in AKI group were higher,and the differences were statistically significant(P＜0.05).Multivariate Logistic regression analysis showed that the independent risk factors of sepsis complicated with AKI were septic shock,increased SOFA score,increased serum creatinine and increased HDAC4(P＜0.05),and the independent protective factor was increased SIRT1(P＜0.05).ROC curve analysis results showed that the area under the curve(AUC)of serum SIRT1 and HDAC4 combined diagnosis of sepsis complicated with AKI was 0.891,which was larger than the AUC of serum SIRT1 and HDAC4 alone diagnosis(Z=3.681,3.081,P＜0.001,P=0.002).Conclusion The decrease of serum SIRT1 level and the increase of HDAC4 level are related to sepsis complicated with AKI,and the combination of serum SIRT1 and HDAC4 level has high diagnostic value.