ObjectiveTo explore the clinical efficacy of oral administration of modified Tuoli Xiaodusan on postoperative patients with perianal abscess， and its effects on related inflammatory factors and signal transducers and activators of transcription protein 3 （STAT3）/vascular endothelial growth factor （VEGF） signaling pathways. MethodsFrom January 2023 to December 2023 in Inner Mongolia hospital of traditional Chinese medicine， 60 postoperative patients with perianal abscess who met the inclusion criteria were selected. They were divided into a treatment group and a control group using the random number table method， with 30 cases in each group. The control group received conventional treatment， while the treatment group received additional treatment with modified Tuoli Xiaodusan on the basis of the control group. The course of treatment in both groups was three weeks. On the day of operation and on the 7^th， 14^th and 21^st day after operation， enzyme-linked immunosorbent assay （ELISA） was used to measure the expression levels of serum interleukin-1β （IL-1β）， interleukin-6 （IL-6）， and tumor necrosis factor-α （TNF-α）. Hematoxylin eosin （HE） staining was used to observe the pathological morphology of pathological tissue. Western blot was used to measure the levels of phosphorylated STAT3 （p-STAT3） and vascular endothelial growth factor （VEGF） proteins， and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to determine the expression level of VEGF mRNA. The clinical efficacy of the two groups was compared according to the wound pain， secretion volume score， and healing rate of patients on the 3^rd， 7^th， 14^th， and 21^st day after operation. ResultsThe total effective rate of the treatment group was higher than that of the control group （P<0.05）. For intra-group comparison， the pain score of the control group decreased at each time period （P<0.05）， and the healing rate increased （P<0.05）. The secretion volume score decreased on the 14^th and 21^st days after operation （P<0.05）. The pain score and secretion volume score of the treatment group decreased at each time period （P<0.05）， and the healing rate increased （P<0.05）. The levels of various inflammatory factors decreased in both groups （P<0.05）. Compared with those on the surgical day， the levels of p-STAT3 and VEGF proteins in the wound tissue of the two groups were different on the 7^th and 21^st days after operation （P<0.05）. There were significant differences in VEGF mRNA levels in wound tissue between the two groups at each time period （P<0.01）. For inter-group comparison， on the 7^th and 14^th days after operation， the pain score in the treatment group was lower than that in the control group. On the 7^th， 14^th and 21^st days after operation， the secretion volume scores and healing rate of the treatment group were better than those of the control group （P<0.05）. The levels of various inflammatory factors in the treatment group were lower than those in the control group （P<0.05）， and the decline rate was faster （P<0.05）. On the 7^th day after operation， the levels of p-STAT3， VEGF protein， and VEGF mRNA in the wound tissue of the treatment group were higher than those in the control group （P<0.05）. HE staining showed that the inflammatory cell infiltration in the treatment group decreased faster. The cell arrangement was more orderly， and new blood vessel lumens were visible. There were no abnormalities in the safety observation indexes of all patients during the study period. ConclusionModified Tuoli Xiaodusan can relieve wound pain after perianal abscess surgery， reduce secretions， and improve wound healing rate. The mechanism may be reducing the levels of serum IL-1β， IL-6， and TNF-α， reducing the inflammatory response of the wound， upregulating the expression of p-STAT3 and VEGF proteins， and stimulating the STAT3/VEGF signaling pathway， thereby accelerating angiogenesis and promoting wound healing.

BackgroundCurrent studies on the relationship between depressive symptoms and the risks of stroke and all-cause mortality mostly focus on the elderly population or high-risk groups with chronic diseases. The long-term impact of depressive symptoms in young and middle-aged people on the risks of stroke and all-cause mortality still lacks systematic assessment， and the relevant evidence is insufficient. ObjectiveTo explore the association between depressive symptoms and the risks of stroke and all-cause mortality in young and middle-aged adults， thereby expanding the risk evidence in this age group and providing epidemiological basis for early identification of high-risk individuals and the development of targeted intervention strategies. MethodsBased on data from the National Health and Nutrition Examination Survey （NHANES） database （2009–2018）， a total of 14 947 young and middle-aged respondents aged 18 to 64 were included as the research subjects. Logistic regression and restricted cubic spline （RCS） models were employed to examine the association between depressive symptoms and stroke. Cox proportional hazards model， RCS model， and Kaplan-Meier （K-M） survival curves were used to clarify the relationship between depressive symptoms and all-cause mortality risk. To verify the robustness of main findings， sensitivity analysis was conducted stratified by gender， hypertension， diabetes， hyperlipidemia， body mass index （BMI）， and age. ResultsLogistic regression analysis revealed that compared with the non-depressed group， the risk of stroke in the mild depression group increased by 53.50% （OR=1.535， 95% CI： 1.147–2.053）， while the moderate-to-severe depression group showed the highest risk with a 132.90% increase （OR=2.329， 95% CI： 1.733–3.129）. RCS analysis indicated an approximately linear dose-response relationship between PHQ-9 score and the risk of stroke （P_{for non-linearity}=0.089）， with stroke risk increasing as PHQ-9 scores rose. As the PHQ-9 score increased， the risk of stroke also showed an upward trend. Cox regression analysis demonstrated that compared with the non-depressed group， the risk of all-cause mortality in the mild depression group increased by 48.80% （HR=1.488， 95% CI： 1.164–1.902）， and the moderate-to-severe depression group had a 70.60% increased risk （HR=1.706， 95% CI： 1.310–2.221）. RCS analysis showed a linear dose-response relationship between PHQ-9 scores and all-cause mortality risk （P_{for non-linearity}=0.440）. K-M curves indicated that as the severity of depressive symptoms increases， the risk of all-cause mortality gradually rises （P<0.05）. Sensitivity analysis confirmed that the associations between depression symptoms and risks of stroke and all-cause mortality were not modified by gender， hypertension， diabetes， hyperlipidemia， BMI， or age， demonstrating robust findings. ConclusionAmong the young and middle-aged population， both mild and moderate-to-severe depression were associated with increased risks of stroke and all-cause mortality， with the moderate-to-severe depression group showed more pronounced risk elevations. A positive dose-response relationship was observed between depressive symptoms and these risks.

Invasive fungal infections (IFIs) have become prominent global health threats, escalating the burden on public health systems. The increasing occurrence of invasive fungal infections is due primarily to the extensive application of chemotherapy, immunosuppressive therapies, and broad-spectrum antifungal agents. At present, therapeutic practices utilize multiple categories of antifungal agents, such as azoles, polyenes, echinocandins, and pyrimidine analogs. Nevertheless, the clinical effectiveness of these treatments is progressively weakened by the emergence of drug resistance, thereby substantially restricting their therapeutic utility. Consequently, there is an imperative need to expedite the discovery of novel antifungal agents. This review seeks to present an exhaustive synthesis of novel antifungal drugs and candidate agents that are either under current clinical investigation or anticipated to progress into clinical evaluation. These emerging compounds exhibit unique benefits concerning their modes of action, antimicrobial spectra, and pharmacokinetic characteristics, potentially leading to improved therapeutic outcomes relative to conventional antifungal regimens. It is anticipated that these novel therapeutic agents will furnish innovative treatment modalities and enhance clinical outcomes in managing invasive fungal infections.

Background Industrial emissions are a well-established major source of urban fine particulate matter (PM_2.5) and associated heavy metals. To improve local air quality, Shanghai No. 1 Iron and Steel Plant in Baoshan District was entirely relocated, with all production lines successively shut down in 2018. Objective To evaluate the trends in PM_2.5 and three heavy metal concentrations - chromium (Cr), mercury (Hg), and thallium (Tl) —in the local atmosphere pre- and post- relocation of the steel plant. Methods Taking the steel plant relocation in 2019 as the intervention cutoff point, this study was divided into two phases: pre-intervention (January 2017 to December 2018) and post-intervention (January 2019 to December 2021). Monthly mean pollutant concentrations were used to construct an interrupted time series (ITS) model, followed by segmented linear regression to assess the pre- and post-intervention trends in ambient PM_2.5 and three heavy metals surrounding thesteel plant. Results The ITS regression analysis revealed that the change in PM_2.5 concentration (b₂) after the intervention was −7.16 μg·m⁻³, while the changes in Cr, Hg, and Tl concentrations (b₂) were −0.46, −0.03, and −0.06 ng·m⁻³, respectively. Prior to the intervention, PM_2.5 mass concentrations exhibited a temporal decline with a slope of b₁ = –0.69 (P<0.05); seasonal adjustment further strengthened the overall significance of the model. Before the intervention, the concentration of Cr increased over time, with a slope of b₁=0.12 (P<0.05). After the intervention, the concentration of Cr showed a gradual downward trend over time, with a slope (b₁ + b₃) of −0.04, and significant seasonal variations were observed. The concentration of Hg decreased over time before the intervention, with a slope of b₁=−0.0029 (P<0.05). After the intervention, the slope was −0.0003, showing a further slow decline in Hg concentration over time. However, no significant seasonal trend was observed for Hg. The mass concentration of Tl decreased after the intervention, and the difference before and after the intervention was statistically significant (P<0.05). PM_2.5, Cr, and Tl better fit to the seasonal model, whereas Hg showed a better fit to the non-seasonal model. Conclusion The steel plant relocation intervention has markedly improved local air quality.

Objective To explore the value of Vision Transformer(ViT)fusion network assisted multiparametric MRI for diagnosing intracranial large vessel stenosis/occlusion(LVSO).Methods Totally 221 cases of ischemic stroke(IS)were retrospectively enrolled as test set,while other 28 cases of IS were taken as validation set,and data of diffusion weighted imaging(DWI),3D pseudo-continuous arterial spin labeling(3D-pCASL)and CT angiography(CTA)were collected.Taken CTA as reference standard,the value of ViT fusion network based on DWI,3D-pCASL and their combination for diagnosing intracranial LVSO were observed.Results In test set,the area under the curve(AUC)of ViT fusion network based on DWI,3D-pCASL and their combination for diagnosing intracranial LVSO was 0.879,0.908 and 0.925,respectively,no significant difference was found between each two(all P＞0.05),but AUC of DWI+3D-pCASL was slightly higher than that of the other two.In validation set,the AUC of ViT fusion network based on DWI+3D-pCASL for diagnosing intracranial LVSO was 0.850.Conclusion The performance of ViT fusion network based on DWI combined with 3D-pCASL for diagnosing intracranial LVSO was better.

Objective Taking a tertiary Traditional Chinese Medicine(TCM)hospital in Beijing as an example,it explores the differences in service quality perception among medical providers in Internet-based diagnostic services,aiming to provide robust support for the digital transformation of TCM medical services.Methods A questionnaire survey was conducted among 145 doctors who had diagnostic privileges on the Internet hospital platform of a certain hospital in September 2024.The survey focused on doctors'perceptions and satisfaction differences between online and offline medical service quality.Data processing and analysis were performed using EXCEL and SPSS 26.0 software,including descriptive analysis,reliability and validity tests,and rank-sum tests.Results 66.34%of the doctors recognized the Internet hospital platform established by the hospital,but the average satisfaction score(3.86)was still lower than that of offline outpatient service platforms,which was 4.59.Especially in the three dimensions of diagnosis and treatment,quality assurance,and psychosocial care,the perception of online service quality was significantly lower than that of offline services(P＜0.001).Despite this,82.76%of doctors were still inclined to recommend the internet-based diagnostic model to suitable patients.Conclusion Internet hospitals should establish a refined and intelligent platform system and rigorous service quality control standards to optimize doctors'online consultation processes.Comprehensive training for online consulting doctors should be strengthened.By improving the service quality of medical providers,the integration of online and offline services can be promoted to meet patients'demands for high-quality medical services.

In recent years, immunotherapy has become another important treatment for non-small cell lung cancer (NSCLC) after surgery, radiotherapy, chemotherapy and targeted therapy. As an emerging non-invasive tool, PET/CT radiomics provides a new way for precise diagnosis and treatment of NSCLC by quantitatively analyzing the metabolic and structural characteristics of tumors, demonstrating significant promise for applications in NSCLC immunotherapy. This article aims to review the research progress of PET/CT radiomics in NSCLC immunotherapy and to explore its potential value in predicting biomarkers, therapeutic efficacy, adverse effects, and evaluating prognosis.

Objective:To explore the characteristics of the brain functional networks in children with spastic cerebral palsy (SCP) while at rest and to correlate them with motor functioning.Methods:Thirty-six children with SCP were enrolled as the SCP group, while thirty-four age-matched healthy children were recruited as the control group (the HC group). Functional near-infrared spectroscopy was used to detect changes in the concentration of oxygenated hemoglobin in the children′s cerebral cortex while at rest. The left prefrontal cortex (LPFC), right prefrontal cortex (RPFC), left motor cortex (LMC), and right motor cortex (RMC) were selected as regions of interest. Phase locking values (PLVs) were used to evaluate the strength of functional connectivity (FC) among these brain regions, and graph theory methods were applied to analyze the topological properties of the brain networks. Motor functioning was assessed using the gross motor function measure (GMFM).Results:The analyses of FC strength revealed that the SCP group had significantly weaker FC among all of the regions of interest while at rest compared to the HC group. Their PLVs for LPFC-RPFC, LPFC-RMC, RPFC-RMC and LMC-RMC connectivity were all significantly smaller. Graph theory analysis showed that the SCP group had significantly lower global efficiency (GE) and smaller clustering coefficients (CCs) and network density (D), while their characteristic path lengths were significantly longer. According to the correlation analysis, the PLVs for LMC-RMC connections in the SCP group were positively correlated with their scores on dimensions D and E of the GMFM ( r=0.496 and r=0.579 respectively). GE ( r=0.587 and r=0.642) and CC ( r=0.318 and r=0.759) showed similar significant positive correlations with GMFM dimensions D and E. Conclusions:At rest, the functional networks in the brains of children with SCP exhibit abnormalities closely associated with their motor dysfunction.

BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

Chronic refractory wound （CRW） presents significant clinical treatment challenges due to pathological characteristics such as persistent inflammation， bacterial infection， oxidative stress and inadequate angiogenesis. Astragali Radix， a traditional Chinese medicinal herb， exerts multi-target pharmacological effects on CRW through its active components， including Astragalus polysaccharides， flavonoids， and astragaloside Ⅳ， etc. Fundamental studies indicate that these components promote CRW healing by modulating inflammatory responses， inhibiting pathogen growth， improving antioxidant capacity and stimulating neovascularization. Network pharmacology and bioinformatics studies have revealed that active components of Astragali Radix target and modulate key signaling nodes such as nuclear factor-κB， phosphatidylinositol 3-kinase/Akt， AMP-activated protein kinase， and vascular endothelial growth factor receptor， as well as inflammation-angiogenesis-related pathways， thereby synergistically exerting anti-inflammatory and pro-angiogenic effect. Clinical applications have demonstrated that oral formulations （e.g.， Huangqi guizhi decoction， Danggui huangqi decoction， etc.） reduce healing time of CRW and lower inflammatory marker levels， while topical preparations （e.g.， Zizhu ointment， Huangqi shengji ointment， electrostatically spun Astragalus polysaccharide composite nanofibre dressings， etc.） significantly improve healing rates of CRW and minimize complications.