Background: and Purpose Vertebrobasilar fusiform aneurysms (VBFAs) carry substantial morbidity and mortality, but optimal management for unruptured VBFAs remains unclear. We compared the safety and efficacy of conservative management (CM), stent-assisted coiling (SAC), and flow diverters (FDs) in patients with unruptured VBFAs, focusing on long-term prognosis. Methods: This study included data from a nationwide Chinese cohort of patients with vertebrobasilar dissecting aneurysms. Inverse probability of treatment weighting (IPTW) balanced confounders across groups. The primary outcome was poor prognosis (modified Rankin Scale score >2). Secondary outcomes included aneurysm rupture, ischemic stroke, compression symptoms, and VBFA-related deaths. Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed. Results: Among 1,115 patients with unruptured VBFAs, 838 (median age, 54 years; 655 men) were included. After IPTW, baseline characteristics were balanced. Median follow-up was 54 months. FD was associated with a lower risk of poor prognosis than CM (OR, 0.48 [95% CI, 0.30 to 0.77]; p=0.002), with no difference between CM and SAC. FD also reduced aneurysm rupture (OR, 0.20 [95% CI, 0.07 to 0.60]; p=0.004) and compression symptoms (OR, 0.30 [95% CI, 0.13 to 0.68]; p=0.004) versus CM. Time-to-event analyses further revealed significant differences in vertebral artery lesions and Type I–II VBFAs, whereas no significant differences were observed in basilar or vertebrobasilar junction lesions or in Type III–IV VBFAs. Conclusions Compared with CM, FD was associated with improved long-term outcomes in unruptured VBFAs, particularly in vertebral artery lesions and Type I–II VBFAs, although residual confounding cannot be excluded.

Objective:To explore the interrelationship between brain functional networks and features in functional magnetic resonance imaging(fMRI)of patients with Alzheimer's disease(AD),and to construct mixed-function networks(MFN),and apply them in machine learning classification models to improve the accuracy of AD classification.Methods:102 AD patients and 227 healthy subjects in the Alzheimer's Neuroimaging Initiative(ADNI)dataset were retrospectively analyzed.The partial correlation brain network of the blood oxygen level dependent(BOLD)signal was calculated and fused with low-frequency wave amplitude(ALFF),fractional low-frequency wave amplitude(fALFF)and local consistency(ReHo)features to construct MFN.Network topology parameters were extracted,and a variety of machine learning classification models were constructed based on MFN topological parameters,accuracy,precision,recall and area under the curve(AUC)were used to evaluate the predictive efficiency of the models.Results:By constructed MFN and calculated intra group to inter group ratio(IIGR),35 features could be obtained from ALFF,fALFF and ReHo feature topological parameter analysis,after rank sum test and FDR correction,there were statistical differences among 28 features(P＜0.05).The classification results show that,all the five classifiers have high classification performance on the test data set.The accuracy,precision and recall rates of random forest(RF),adaptive lifting algorithm(AdaBoost),guided aggregation algorithm(Bagging)and support vector machine(SVM)were all 99.7％,and the AUC values were up to 100％,99.5％,99.1％and 99.5％,respectively.The accuracy(98.5％),precision(98.5％),recall(98.5％),and AUC(99.1％)of the multi-layer perceptron(MLP)were slightly lower than other models,but remained excellent.It was worth noting that RF has the highest AUC value of all models at 100.0％,while Bagging has the lowest AUC value(99.1％)in the integrated approach.The results of performance comparison show that,MFN classification model can significantly improve the recognition and classification of AD disease,and greatly improve the performance of various indicators of the classifier.The results showed that,MFN classification model was superior to intelligent classification based fusion,DBN-based multitask learning,PVT-TSVM,unsupervised learning and clustering,SVM and SVM of degree 3 polynomial kernel function in key indicators such as accuracy(99.13％),AUC(99.42％),recall rate(99.46％)and specificity(99.42％)with plasma proteins,machine learning algorithms.It was further proved that MFN classification model has good generalization ability and robustness in AD disease classification.Conclusion:The AD classification model constructed based on brain mixed function network topology parameters and machine learning can improve the accuracy of AD classification.

Purpose To investigate the clinicopathological features,differential diagnosis and prognosis of atypical fibroxanthoma(AFX).Methods Pathological features of 15 cases of AFX and 3 cases of pleomorphic dermal sarcoma(PDS)misdiagnosed as AFX were retrospectively analyzed by hematoxylin and eosin staining and immunohistochemical EnVision staining technology.Clinical information was collected and analyzed,and the relevant literatures were re-viewed.Results The age of the 15 patients with AFX ranged from 18 to 78 years,with an average age of 57 years.4 cases occurred in the head and neck,and 11 cases occurred in the trunk and limbs.3 patients with PDS misdiagnosed as AFX were aged from 56 to 60 years,with an average age of 58 years.The tumors were located in the trunk and limbs.Microscopically,15 cases of AFX and 3 cases of PDS misdiagnosed as AFX were composed of proliferative pleo-morphic and atypical spindle cells interspersed with a varying number of multinucleated cells.15 cases of AFX tumors were superficial and located in the dermis.In 3 cases of PDS misdiagnosed as AFX,1 case was located in subcutane-ous adipose tissue,1 case had superficial subcutaneous extension,and the third case had positive basal margin.Immu-nohistochemically,the immunophenotypes of the two groups were consistent.CD10 was expressed in all cases,CD68 was positive in most cases,SMA was expressed in a few cases,desmin was focal expressed in a very few cases,and S-100,SOX10,CD34,HMB-45,Melan A,STAT6 and CK(AE1/AE3)were not expressed in all cases.Ki67 prolifera-tion index ranged from 2％to 30％.15 patients with AFX were followed up from 12 to 108 months.One patient had tumor recurrence 1 year and 3 years after operation due to positive basal margin.Most of the other patients underwent extended resection after diagnosis and were in good condition without tumor recurrence and metastasis.3 cases of PDS misdiagnosed as AFX were followed up for 31 to 78 months.One patient had lung metastasis after 2 years,one patient recurred 4 times after operation,and the other patient died after 4 times of recurrence.Conclusion AFX is a rare dis-ease with similar pathological characteristics and immunophenotype to PDS.AFX can be diagnosed only when the tumor is small and completely confined to the dermis.When the maximum diameter of the tumor is more than 3 cm,or the presence of any form of subcutaneous extension requires a high level of vigilance for PDS.Careful differentiation and correct classification of AFX and PDS are very important for the treatment and prognosis of the disease.

Objective:To analyze the preferences of medical staff in TCM hospitals in Beijing regarding the achievements transformation of hospital traditional Chinese medicine preparations,and to provide a reference for formulating incentive policies.Methods:233 medical staff from five TCM hospitals in Beijing were taken as the research objects,and surveyed with a questionnaire designed based on the discrete choice experiment(DCE).Mixed logit models and latent class models were then used to analyze their transformation preferences.Results:The mixed Logit model revealed that seven key attributes significantly influenced medical staff's preferences for the achievements transformation of traditional Chinese medicine preparations(P<0.05).Latent class analysis identified three distinct preference groups among respondents:an organization-dependent group(27.0%),a pro-transformation group(61.4%),and a conservative group(11.6%).Conclusions:Medical Staff preferred transformation conditions that increased monthly income;utilized"human use+re-experimentation";involved the hospital's achievements transformation department as the entity;were funded by the hospital;offered a 70%profit share;enabled promotion three years earlier,and assigned patents to the hospital.The study recommends implementing diverse incentive measures and developing differentiated strategies tailored to the distinct Medical Staff categories to facilitate the transformation of hospital traditional Chinese medicine preparations into new drugs.

Purpose To investigate the clinicopathological features,differential diagnosis and prognosis of atypical fibroxanthoma(AFX).Methods Pathological features of 15 cases of AFX and 3 cases of pleomorphic dermal sarcoma(PDS)misdiagnosed as AFX were retrospectively analyzed by hematoxylin and eosin staining and immunohistochemical EnVision staining technology.Clinical information was collected and analyzed,and the relevant literatures were re-viewed.Results The age of the 15 patients with AFX ranged from 18 to 78 years,with an average age of 57 years.4 cases occurred in the head and neck,and 11 cases occurred in the trunk and limbs.3 patients with PDS misdiagnosed as AFX were aged from 56 to 60 years,with an average age of 58 years.The tumors were located in the trunk and limbs.Microscopically,15 cases of AFX and 3 cases of PDS misdiagnosed as AFX were composed of proliferative pleo-morphic and atypical spindle cells interspersed with a varying number of multinucleated cells.15 cases of AFX tumors were superficial and located in the dermis.In 3 cases of PDS misdiagnosed as AFX,1 case was located in subcutane-ous adipose tissue,1 case had superficial subcutaneous extension,and the third case had positive basal margin.Immu-nohistochemically,the immunophenotypes of the two groups were consistent.CD10 was expressed in all cases,CD68 was positive in most cases,SMA was expressed in a few cases,desmin was focal expressed in a very few cases,and S-100,SOX10,CD34,HMB-45,Melan A,STAT6 and CK(AE1/AE3)were not expressed in all cases.Ki67 prolifera-tion index ranged from 2％to 30％.15 patients with AFX were followed up from 12 to 108 months.One patient had tumor recurrence 1 year and 3 years after operation due to positive basal margin.Most of the other patients underwent extended resection after diagnosis and were in good condition without tumor recurrence and metastasis.3 cases of PDS misdiagnosed as AFX were followed up for 31 to 78 months.One patient had lung metastasis after 2 years,one patient recurred 4 times after operation,and the other patient died after 4 times of recurrence.Conclusion AFX is a rare dis-ease with similar pathological characteristics and immunophenotype to PDS.AFX can be diagnosed only when the tumor is small and completely confined to the dermis.When the maximum diameter of the tumor is more than 3 cm,or the presence of any form of subcutaneous extension requires a high level of vigilance for PDS.Careful differentiation and correct classification of AFX and PDS are very important for the treatment and prognosis of the disease.

Objective: To explore the correlation between the composition of bone marrow lymphocyte subsets and the clinical attributes observed in de novo AML patients, as well as their influence on prognosis. Methods: A detailed study was carried out on a cohort of 191 de novo acute myeloid leukemia patients who were admitted to our medical center between October 2022 and September 2024. In addition, a group of 24 patients with iron deficiency anemia individuals was carefully chosen as the control cohort. The proportions of lymphocyte subsets within the bone marrow of de novo AML patients were analyzed. Furthermore, an in-depth analysis was performed to investigate the association between the expression levels of these subsets in de novo AML patients and their clinical attributes, as well as their prognostic implications. Results: The proportion of CD19 and CD56 lymphocytes within the bone marrow of de novo AML patients significantly diminished compared to the control cohort (8.5% vs 13.2% P<0.05, and 15.5% vs 18.0%, P<0.05). Conversely, no significant discrepancies were observed in the CD3 , CD3 CD4 , and CD3 CD8 lymphocyte percentages between the AML patients and control group (71.7% vs 72.1%, 32.5% vs 33.7% and 32.8% vs 35.7%, P>0.05). When analyzing the relationships between lymphocyte subsets within the bone marrow of de novo patients and their respective clinical characteristics, patients aged 60 years and above exhibited diminished percentages of CD3 CD8 lymphocytes in the bone marrow compared to their younger counterparts (31.6% vs 34.1%, P<0.05), while the CD56 lymphocyte subsets demonstrated an increased prevalence (17.2% vs 14.4%, P<0.05). Furthermore, patients with leukocytosis (WBC≥100×10 /L) presented lower levels of CD3 and CD3 CD4 lymphocytes in the bone marrow compared with those without it (65.3% vs 72.9% P<0.05, and 28.9% vs 33.2%, P<0.05), respectively. The AML1-ETO fusion gene-positive cohort exhibited a higher prevalence of CD3 CD8 lymphocytes in the bone marrow than in the negative group (38.2% vs 32.3%, P<0.05), whereas the FLT3-ITD mutation-positive group presented a decreased prevalence of CD56 lymphocytes compared with the negative group (12.4% vs 16.8%, P<0.05). In addition, the NPM1 mutation-positive group demonstrated lower levels of CD3 CD8 lymphocytes in the bone marrow than in the negative group (29.1% vs 33.3%, P<0.05). Variables such as tumor protein p53(TP53) mutation positive, the absence of hematopoietic stem cell transplantation, and CD3 CD4 lymphocyte proportions below 25% were identified as independent adverse prognostic indicators for AML patients (P<0.05). Conclusion: The pathogenesis of AML is closely associated with an imbalance in bone marrow lymphocyte subsets. The FLT3-ITD mutation potentially contributes to the dysregulation of CD56 lymphocyte subset expression. The AML1-ETO fusion gene and NPM1 mutation are implicated in the abnormal expression of CD3 CD8 lymphocytes within the bone marrow. Moreover, the percentage of CD3 CD4 lymphocytes in the bone marrow serves as a prognostic factor for de novo AML patients.

Objective: To explore the correlation between the composition of bone marrow lymphocyte subsets and the clinical attributes observed in de novo AML patients, as well as their influence on prognosis. Methods: A detailed study was carried out on a cohort of 191 de novo acute myeloid leukemia patients who were admitted to our medical center between October 2022 and September 2024. In addition, a group of 24 patients with iron deficiency anemia individuals was carefully chosen as the control cohort. The proportions of lymphocyte subsets within the bone marrow of de novo AML patients were analyzed. Furthermore, an in-depth analysis was performed to investigate the association between the expression levels of these subsets in de novo AML patients and their clinical attributes, as well as their prognostic implications. Results: The proportion of CD19 and CD56 lymphocytes within the bone marrow of de novo AML patients significantly diminished compared to the control cohort (8.5% vs 13.2% P<0.05, and 15.5% vs 18.0%, P<0.05). Conversely, no significant discrepancies were observed in the CD3 , CD3 CD4 , and CD3 CD8 lymphocyte percentages between the AML patients and control group (71.7% vs 72.1%, 32.5% vs 33.7% and 32.8% vs 35.7%, P>0.05). When analyzing the relationships between lymphocyte subsets within the bone marrow of de novo patients and their respective clinical characteristics, patients aged 60 years and above exhibited diminished percentages of CD3 CD8 lymphocytes in the bone marrow compared to their younger counterparts (31.6% vs 34.1%, P<0.05), while the CD56 lymphocyte subsets demonstrated an increased prevalence (17.2% vs 14.4%, P<0.05). Furthermore, patients with leukocytosis (WBC≥100×10 /L) presented lower levels of CD3 and CD3 CD4 lymphocytes in the bone marrow compared with those without it (65.3% vs 72.9% P<0.05, and 28.9% vs 33.2%, P<0.05), respectively. The AML1-ETO fusion gene-positive cohort exhibited a higher prevalence of CD3 CD8 lymphocytes in the bone marrow than in the negative group (38.2% vs 32.3%, P<0.05), whereas the FLT3-ITD mutation-positive group presented a decreased prevalence of CD56 lymphocytes compared with the negative group (12.4% vs 16.8%, P<0.05). In addition, the NPM1 mutation-positive group demonstrated lower levels of CD3 CD8 lymphocytes in the bone marrow than in the negative group (29.1% vs 33.3%, P<0.05). Variables such as tumor protein p53(TP53) mutation positive, the absence of hematopoietic stem cell transplantation, and CD3 CD4 lymphocyte proportions below 25% were identified as independent adverse prognostic indicators for AML patients (P<0.05). Conclusion: The pathogenesis of AML is closely associated with an imbalance in bone marrow lymphocyte subsets. The FLT3-ITD mutation potentially contributes to the dysregulation of CD56 lymphocyte subset expression. The AML1-ETO fusion gene and NPM1 mutation are implicated in the abnormal expression of CD3 CD8 lymphocytes within the bone marrow. Moreover, the percentage of CD3 CD4 lymphocytes in the bone marrow serves as a prognostic factor for de novo AML patients.

Objective To compare the long-term survival of elderly patients with esophageal squamous cell carcinoma (ESCC) treated with surgical versus non-surgical treatment. Methods A retrospective analysis was conducted on the clinical data of elderly patients aged ≥70 years with ESCC who underwent esophagectomy or radiotherapy/chemotherapy at Sichuan Cancer Hospital from January 2009 to September 2017. Patients were divided into a surgical group (S group) and a non-surgical group (NS group) according to the treatment method. The propensity score matching method was used to match the two groups of patients at a ratio of 1∶1, and the survival of the two groups before and after matching was analyzed. Results A total of 726 elderly patients with ESCC were included, including 552 males and 174 females, with 651 patients aged ≥70-80 years and 75 patients aged ≥80-90 years. There were 515 patients in the S group and 211 patients in the NS group. The median follow-up time was 60.8 months, and the median overall survival of the S group was 41.9 months [95%CI (35.2, 48.5)], while that of the NS group was only 24.0 months [95%CI (19.8, 28.3)]. The 1-, 3-, and 5-year overall survival rates of the S group were 84%, 54%, and 40%, respectively, while those of the NS group were 72%, 40%, and 30%, respectively [HR=0.689, 95%CI (0.559, 0.849), P<0.001]. After matching, 138 patients were included in each group, and there was no statistical difference in the overall survival between the two groups [HR=0.871, 95%CI (0.649, 1.167), P=0.352]. Conclusion Compared with conservative treatment, there is no significant difference in the long-term survival of elderly patients aged ≥70 years who undergo esophagectomy for ESCC. Neoadjuvant therapy combined with surgery is still an important choice to potentially improve the survival of elderly patients with ESCC.

Objective: To systematically evaluate the association between maternal adverse childhood experiences (ACEs) and offspring social behavior, so as to provide a theoretical basis for further research on intergenerational social behavioral development. Methods: Relevant research literature about maternal ACEs and the development of children s maladaptive social behaviors were collected, from China National Knowledge Infrastructure (CNKI), VIP, Wanfang, SinoMed, PubMed, Web of Science, Cochrane Library, Embase and SpringLink databases, covering the period from the inception of each database to May 2025. The Chinese database matched and searched through three groups of keywords: "Pregnant women" "Mothers" and "Women"; "Bad childhood experience" "Bad early experience" and "Bad adolescent experience"; "Children" "Teenagers" "Children s behavior" "Children s development" "Teenagers behavior" "Internalized behavior" and "Externalized behavior". The English database was searched by three groups of keywords: "Female" "Pregnant women" "Mothers"; "Adverse childhood experiences" "Adverse early childhood experiences" "Adverse experiences of adolescent"; "Child behavior" "Child development" "Adolescent behavior" "Internalized behaviors" "Externalized behaviors". The selected literature was evaluated for quality and data extraction, with OR and 95% CI as effect indicators. Stata 16.0 software was used for heterogeneity testing, subgroup analysis, and publication bias analysis. Results: A total of 14 studies involving 64 302 mother-child pairs were included. The Meta analysis results showed a significant correlation between maternal ACEs and both offspring maladaptive internalized behaviors ( OR=1.75, 95%CI=1.42-2.15, P <0.01) and externalized behaviors ( OR=1.82, 95%CI=1.51-2.20, P <0.01). The results of subgroup analyses showed that in different regions[internalized behaviors:domestic, foreign OR (95% CI )=2.03(1.49-2.76), 1.55(1.19-2.03); externalized behaviors: domestic, foreign OR (95% CI )=2.41(1.52-3.82), 1.65(1.36-2.01)], study type[internalized behaviors: cohort study, cross sectional study OR (95% CI )=1.64(1.34-2.00), 1.85(1.30-2.65); externalized behaviors: cohort study, cross sectional study OR (95% CI )=1.76(1.46-2.12), 2.12(1.40-3.20)], sample size [internalized behaviors: ≥4 000, <4 000 pairs OR (95% CI )=1.69(1.13-2.55), 1.77( 1.41 -2.24); externalized behaviors: ≥3 000, <3 000 pairs OR (95% CI )=1.72(1.37-2.17), 2.13(1.44-3.15)], there were significant and positive association between mothers ACEs and children s internalizing and externalizing behaviors (all P <0.05). Conclusion A substantial positive association exists between maternal ACEs and the development of offspring maladaptive internalized and externalized behaviors, but the result needs to be continued to be validated by more research.

Objective To analyze the classification characteristics of rheumatoid arthritis(RA)-related antibodies and to investigate the factors influencing the development of RA-related interstitial pulmonary diseases(RA-ILD)in RA patients using latent class analysis(LCA).Methods A retrospective analysis of 712 RA patients treated at the Department of Rheumatology and Immunology of the Second Hospital of Shanxi Medical University from December 2019 to October 2022 was conducted.According to whether patients had RA-ILD or not,they were divided into simple RA group(n=523)and RA-ILD group(n=189).Then,the differences in general data,clinical features,medication use and laboratory indicators were compared between the two groups.Based on the differences in RA-related antibody indicators,712 patients were divided into 3 latent categories using LCA:high-risk group(n=364),medium-risk group(n=205),and low-risk group(n=143).One-way analysis of variance was employed to compare clinical characteristics of the 3 groups,and the prevalence of RA-ILD was calculated.Multivariate logistic regression analysis was utilized to identify independent affect factors of RA-ILD.Results Significant differences in gender,age,and smoking history were observed between simple RA group and RA-ILD group(P<0.05).The high,medium and low risk groups exhibited significant differences in gender,age,prednisone(PRED)and methotrexate(MTX)medication history,Red blood cell count(RBC),interleukin-2(IL-2),IL-4,IL-10,IL-17,TNF-α,interferon-γ(INF-γ),serum globulins,and white blood albumins(P<0.05).The high-risk group had a higher proportion of males,RBC,IL-2,IL-4,IL-10,IL-17,TNF-α,INF-γ,and serum globulin levels,and a lower proportion of MTX medication compared with medium-and low-risk groups(P<0.05 or P<0.01).The medium-risk group had a higher proportion of MTX administration than that in high-and low-risk groups(P<0.05 or P<0.01).The low-risk group had a higher proportion of females and older age than those in other two groups(P<0.05 or P<0.01).The prevalence of RA-ILD was 30.5%,23.9%and 20.3%in the three groups,respectively.Multivariate logistic regression analysis indicated that male(OR=2.920,95%CI 1.722-4.952),age(OR=1.055,95%CI 1.035-1.074),IL-17(OR=1.013,95%CI 1.003-1.023),TNF-α(OR=1.050,95%CI 1.017-1.083),INF-γ(OR=0.962,95%CI 0.932-0.993),Serum albumin(OR=0.919,95%CI 0.869-0.971)and high risk antibody indicators(OR=1.725,95%CI 1.084-2.745)were independent predictors for RA-ILD.Conclusions RA patients exhibit distinct categories of antibody indicators,with a higher prevalence in high-risk patients with RA-ILD.RA-ILD is more likely to occur in male,elderly patients with abnormal liver function and high-risk antibody indictors.More attention should be paid to these patients and individualized interventions should be developed and implemented in a timely manner to improve the quality of patient survival.