Objective: To characterize perioperative dynamic changes in immune-cell phenotypes and inflammatory cytokines in patients undergoing CPB (cardiopulmonary bypass) cardiac surgery, and to explore their associations with postoperative outcomes. Methods: In this prospective cohort study, 120 adult patients who underwent elective cardiac surgery under CPB at West China Hospital from May 2022 to March 2023 were enrolled. Perioperative immune-cell phenotypes and concentrations of 40 inflammation-related cytokines were measured. The primary outcomes were the sequential organ failure assessment (SOFA) score at 24 h after surgery and ΔSOFA (the peak SOFA score within 48 h after surgery minus the preoperative SOFA score). Secondary outcomes included major adverse cardiovascular events (MACE), acute kidney injury (AKI), respiratory failure, severe liver injury, and infection. Results: The mean age of enrolled patients was 57±10 years. Of these, 52% (62/120) were male and 90% (108/120) underwent valve surgery. During the rewarming to the end of CPB, neutrophil counts rapidly increased (7.39×10 /L vs preoperative 3.07×10 /L, P<0.001), with significant upregulation of CD11b (7.30×10 /L vs preoperative 3.05×10 /L, P<0.001) and CD54 (7.15×10 /L vs preoperative 2.99×10 /L, P<0.001). Lymphocyte counts increased at the end of CPB (1.75×10 /L vs preoperative 1.12×10 /L, P<0.001) but decreased significantly at 24 h after surgery (0.59×10 /L vs preoperative 1.12×10 /L, P<0.001). Plasma analysis showed that multiple pro-inflammatory cytokines increased during CPB and remained elevated up to 24 h after surgery; five chemokines and the anti-inflammatory cytokine IL-10 peaked at the end of CPB. The SOFA score increased from 1 (1, 2) preoperatively to 7 (5, 10) at 24 h after surgery, with a ΔSOFA of 6 (4, 8). Within 30 days after surgery, 48 patients (40.0%) developed AKI, 17 (14.2%) developed infection, 4 (3.3%) developed severe liver injury, 3 (2.5%) developed respiratory failure, and 3 (2.5%) experienced MACE. During the 2-year follow-up, 8 patients (6.7%) experienced MACE and 5 (4.2%) died. Conclusion: Multi-organ dysfunction is common after cardiac surgery under CPB (median ΔSOFA, 6), accompanied by perioperative activation of multiple immune-cell subsets and upregulation of pro-inflammatory, anti-inflammatory, and chemotactic mediators. This study provides data-driven evidence and research clues for further investigation of the associations between CPB-related immune perturbations and postoperative organ dysfunction and clinical outcomes.

Objective:To establish the predictive model for major adverse cardiovascular events(MACE) following endovascular repair in elderly patients with abdominal aortic aneurysm(AAA).Methods:The clinical data and postoperative MACE were retrospectively collected from elderly patients with AAA who underwent their first endovascular aneurysm repair(EVAR)in Beijing Hospital and Tibet Autonomous Region People's Hospital between January 2016 and December 2023.Patients were randomly divided into training and validation cohorts at a ratio of 7∶3.Predictive models were using logistic regression, LASSO regression, random forest, linear discriminant analysis, na?ve Bayes, k-nearest neighbor algorithm, support vector machine, decision tree, and AdaBoost.Models were evaluated using receiver operating characteristic(ROC)curves.Results:A total of 171 elderly AAA patients were enrolled, aged 60 to 94 years(mean 73.0 ± 7.5 years), of whom 145 were male.MACE occurred after EVAR in 30 patients(17.5%). LASSO regression identified monocyte count, history of coronary artery disease, the ratio of maximum AAA diameter to body mass index(DBR), neutrophil-lymphocyte count ratio(NLR), and age as significant predictors, yielding an area under the ROC curve(AUC)of 0.816.Logistic regression achieved an AUC of 0.813 in the training cohort and 0.772 in the validation cohort.Among all models, AdaBoost demonstrated the best performance, with an AUC of 0.92 in the validation cohort.Conclusions:Age, monocyte count, DBR, NLR and creatinine could predict the occurrence of MACE after EVAR in AAA patients.The AdaBoost model provides the most accurate prediction of postoperative MACE.

In the context of comprehensively advancing the Healthy China initiative,the high-quality development of public hospitals must be guided by the core principle of"people's health".It provides a systematic analysis of the historical evolution of developmental paradigms in Chinese public hospitals.By integrating the current policy requirements for their high-quality development,it proposes key pathways including the innovation of development concepts,the reconstruction of hospital connotations,the extension of service management,the optimization of the system structure,and the empowerment of digital and intelligent technologies.Through empirical case studies that demonstrate the viability of these pathways,it aims to provide theoretical support and practical reference for the high-quality development of public hospitals centered on people's health.

Objective:To compare the sustained virological response (SVR) and viral recurrence in patients with chronic hepatitis C (CHC) after antiviral treatment, and to further analyze the influencing factors of liver-related events (LRE).Methods:This was a retrospective cohort study. A total of 1 844 CHC patients who visited the Department of Infectious Diseases of Hainan General Hospital from January 1st, 2013 to December 31st, 2022 were included. After screening, 891 patients were selected and divided into direct-acting antiviral agent (DAA) treatment group, interferon treatment group and non-antiviral treatment group based on different intervention measures. Propensity score matching was performed, and SVR and viral recurrence were compared among the three groups. Statistical analysis was performed using the chi-square test, and multivariate Cox regression analysis was used to evaluate the risk factors for LRE.Results:The confirmed CHC patients showed an increasing trend year by year (average annual change percentage=19.97%, 95% confidence interval ( CI) 10.46% to 30.30%, t=4.32, P<0.001). After propensity score matching, the total sample size of 891 CHC patients was 451, including 100 in the interferon treatment group, 311 in the DAA treatment group, and 40 in the non-antiviral treatment group. In the interferon treatment group, 89 cases (89.00%) achieved SVR and nine cases (9.00%) had recurrence. In the DAA treatment group, 306 cases (98.39%) achieved SVR and 10 cases (3.22%) had recurrence. The differences were statistically significant ( χ2=17.84 and 6.22, respectively, both P<0.05). Cox multivariate regression analysis showed that age (hazard ratio ( HR)=1.065, 95% CI 1.028 to 1.104, P<0.001), alcohol consumption ( HR=3.034, 95% CI 1.302 to 7.071, P=0.010) were independent risk factors for LRE in CHC patients, while albumin ( HR=0.858, 95% CI 0.802 to 0.917, P<0.001), DAA treatment ( HR=0.267, 95% CI 0.103 to 0.692, P=0.007) were protective factors. In CHC patients receiving antiviral treatment, diabetes ( HR=6.719, 95% CI 2.242 to 20.137, P<0.001), total bilirubin ( HR=1.111, 95% CI 1.054 to 1.171, P<0.001) and viral recurrence ( HR=4.646, 95% CI 1.322 to 16.321, P=0.017) were independent risk factors for LRE. Conclusions:Compared with interferon treatment, DAA treatment has a significantly higher SVR rate and a lower recurrence rate. Age and alcohol consumption are independent risk factors for LRE, while higher albumin levels and DAA treatment are protective factors. In CHC patients receiving antiviral treatment, diabetes, viral recurrence, and total bilirubin are independent risk factors for LRE.

Classical Philadelphia chromosome-negative myeloproliferative neoplasms (MPN) comprise a group of clonal disorders originating from hematopoietic stem cells, commonly characterized by thrombotic events, extramedullary hematopoiesis, and a propensity for malignant progression to myelofibrosis or acute leukemia. With the inclusion in the core diagnostic criteria, molecular biomarkers has exhibited applicational valus in multiple levels in the aspects of personalized therapy to subtype MPN, interpret phenotypic heterogeneity, and predict clinical outcomes. Molecular biomarkers are currently being applied in disease diagnosis, progression prediction, therapeutic strategy refinement, precision monitoring, familial MPN screening, and the development of emerging detection technologies, advancing the shift from fundamental MPN research to individualized clinical management.

Objective:To preliminarily explore the application of directional electrodes with perceivable subthalamic nucleus-deep brain stimulation (STN-DBS) for Parkinson′s disease (PD).Methods:A retrospective analysis was conducted on 56 patients with primary PD who underwent STN-DBS treatment across multiple neurosurgical centers, including the Department of Neurosurgery of the First Medical Center of the Chinese People′s Liberation Army General Hospital, the Department of Neurosurgery of Hua′an Brain Hospital Affiliated to Anhui Medical University, and the Department of Neurosurgery of Hefei Second People′s Hospital, from January to December 2024. The cohort included 26 patients in the directional+perception group and 30 in the conventional group. The directional+perception group had activation contacts selected based on electrode branch contact locations and local field potential data recorded by the perceptible deep brain stimulation (DBS) system. The conventional group used contact testing to determine therapeutic contacts. Unified Parkinson′s Disease Rating Scale-Ⅲ (UPDRS-Ⅲ) assessments were performed in the medication-off state under continuous STN-DBS therapy at postoperative activation, 1, 3, and 6 months, comparing postoperative data with preoperative baseline. Initial programming outcomes were also compared between groups.Results:By combining directional electrodes with sensing capabilities, therapeutic contacts can be selected more quickly and effectively. The directional+ perception group showed significantly shorter initial programming time compared to the conventional group [(30.1±4.7) min vs (65.0±6.8) min, respectively], with a statistically significant difference ( t=-22.159, P<0.001). Compared to preoperative baseline, UPDRS-Ⅲ scores improved markedly at postoperative activation and at 1, 3, and 6 months, with improvements of 59.8%(20.6±5.2 vs 51.2±8.7), 62.1%(19.4±6.2 vs 51.2±8.7), 55.5%(22.8±7.2 vs 51.2±8.7), and 61.7%(19.6±13.9 vs 51.2±8.7), respectively. The scores of tremor showed the greatest improvement of 72.2% [2.5(0, 4.3) vs 9.0(0, 13.0)], 61.1% [3.5(0, 5.0) vs 9.0(0, 13.0)], 72.2% [2.5(0, 5.0) vs 9.0(0, 13.0)], 63.3% [0(0, 3.3) vs 9.0(0, 13.0)], respectively, followed by rigidity. Axial symptoms, postural stability, and gait improved moderately, while speech showed no significant change. Conclusions:In the treatment of PD, the combined use of directional electrodes and a perceivable DBS system allows precise selection of therapeutic contacts. This approach not only safely and effectively improves patients′ motor symptoms but also significantly reduces the time required for initial programming compared to conventional DBS systems, demonstrating clear clinical advantages.

Objective To investigate the expression of dermatopontin(DPT)in abdominal aortic aneurysm(AAA)and to explore the mechanism in promoting AAA progression.Methods Differential gene expression(DEG)and GO-KEGG pathway enrichment were used to assess DPT expression level and related pathways in AAA.AAA tissue samples were collected from patients undergoing open surgical repair at Beijing Hospital(experimental group,n=3),while control aortic tissues were collected from kidney transplant donors(n=3).Immun-ohistochemistry and immuno-fluorescence staining were performed to validate DPT protein expression differences in AAA tissues.Masson staining microscopy was used to evaluate fibrosis level.Human aortic smooth muscle cells(HASMCs)were divided into control(Ctrl)and lipopolysaccharide(LPS)-treated groups(n=3).RT-qPCR,ELISA,and immu-nocytochemistry(ICC)were used to measure DPT expression level.HASMCs were further divided into control(Ctrl)and recombinant human DPT-treated groups with 3 cases in each.RT-qPCR was performed to detect the ex-pression of interleukin-1α(IL-1α),interleukin-1β(IL-1β),collagen type Ⅰ alpha 1 chain(COL1A1),matrix metalloproteinase-2(MMP2),and matrix metalloproteinase-9(MMP9).Cell adhesion assays were conducted to ex-amine the role of integrin α3 and integrin β1 in HASMC adhesion.Results DPT was highly expressed in human AAA tissues(P＜0.01).LPS induced DPT expression and secretion in HASMCs(P＜0.05).DPT promoted IL-1α(P＜0.001)and IL-1β(P＜0.01)expression through a positive feedback mechanism while suppressed COL1A1(P＜0.001)production.DPT enhanced HASMC adhesion via the integrin α3β1 receptor(P＜0.001).Conclusions DPT promotes AAA progression by activating IL-1α/IL-1β inflammatory cytokines and inhibits COL1A1-mediated extra cellular matrix(ECM)remodeling.Integrin α3β1 is potentially involved in the regulation process.

As a virtual shared space based on advanced technologies such as virtual reality(VR),augmented reality(AR),mixed reality(MR),artificial intelligence(AI),and 5th generation mobile communication technology,the metaverse has revolutionized all walks of life,including medicine.Extended reality(XR)and AI technologies are gradually becoming one of the mainstream directions of technological development,among which interventional radiology based on imaging data has shown great potential in the field of metaverse medicine.XR technology not only plays a significant role in improving the efficiency and accuracy of interventional diagnosis,but also has multi-dimensional impacts on doctors'clinical skills training,doctor-patient communication,patient education,postoperative rehabilitation,and overall medical development.At present,the construction of metaverse medicine is still in its early stage,and the practitioners engaged in interventional medicine can use XR and AI technology to improve their clinical skills and to enhance the doctor-patient communication ability,thus,to further improve the medical environment and promote the progress of disciplines as well as the comprehensive development of metaverse medicine including interventional diagnosis and treatment.

The in-depth research of artificial intelligence in the medical field has greatly improved the workflow and diagnostic ability of diagnostic radiology.This article focuses on artificial intelligence technology in the field of interventional medicine,and enumerates its potential application scenarios,including improving image analysis capabilities to assist diagnosis and predict treatment response.It also describes the challenges that need to be overcome for practical application.Finally,with the continuous development of artificial intelligence in interventional medicine,artificial intelligence will further optimize the channels of interventional medicine and bring revolutionary changes to the clinical practice of interventional medicine.

Objective To investigate the prognosis of patients with negative sentinel lymph nodes(SLN)after neoadjuvant chemotherapy(NAC)for breast cancer who are exempt from axillary lymph node dissection(ALND)and evaluate its safety in clinical treatment.Methods Clinical data of 2,163 patients initially diagnosed with breast cancer and having negative SLNs after NAC were se-lected from the SEER database from 2018 to 2021.Among them,373 patients underwent only SLN biopsy(SLNB group),and 1,790 patients underwent ALND(ALND group).Propensity score matching(PSM)was used to control for confounding factors,and the Kaplan-Meier method was em-ployed to analyze the overall survival rate.Univariate and multivariate Cox regression analyses were conducted to identify prognostic factors influencing the exemption from ALND in patients with negative SLNs after NAC for breast cancer.Results Before PSM,significant differences were observed be-tween the two groups in terms of clinical tumor stage,molecular subtype,estrogen receptor(ER)sta-tus,progesterone receptor(PR)status,human epidermal growth factor receptor 2(HER-2)status,efficacy of NAC,and breast surgery method(P＜0.05).After PSM,363 patients were included in each group.Univariate Cox regression analysis after PSM revealed that age,clinical tumor stage,and ER status were associated with overall survival(OS)of patients(P＜0.05).There was no sig-nificant difference in OS between patients who underwent SLNB and those who underwent ALND(P＞0.05).Multivariate Cox regression analysis indicated that age and clinical tumor stage were independent factors influencing OS in patients with negative SLNs after NAC.Survival curve analysis after PSM showed no statistically significant difference in overall survival rate between the SLNB and ALND groups(P=0.278).Conclusion Exemption from ALND in patients with negative SLNs af-ter NAC is feasible and does not affect the overall survival rate of patients.