Alcoholic liver fibrosis is a critical step in the progression of alcoholic liver disease toward liver cirrhosis， yet there is currently still a lack of effective and specific anti-fibrotic therapeutic strategies. Recent studies have shown that as an iron-dependent， lipid peroxidation-driven form of regulated cell death， ferroptosis plays an important role in alcohol-related hepatocellular injury and fibrogenesis. Reactive oxygen species generated during alcohol metabolism can damage hepatocytes， impair their antioxidant defense ability， and lead to disruption of iron homeostasis and accumulation of lipid peroxides， ultimately triggering ferroptosis. Hepatocyte ferroptosis can promote fibrosis by amplifying inflammatory responses and activating hepatic stellate cells， whereas selective induction of ferroptosis in activated hepatic stellate cells may attenuate fibrosis， highlighting the “double-edged sword” effect of ferroptosis. Current interventions against ferroptosis mainly focus on applying antioxidant approaches， reducing iron burden， or blocking the amplification of lipid peroxidation， which have shown preliminary efficacy and a potential clinical value， but there are still limitations such as single-target actions and insufficient cell selectivity. In the future， nanotechnology-based delivery and other targeting strategies may help to realize multi-pathway coordination and cell-specific modulation， thereby improving the anti-fibrotic efficacy of ferroptosis-oriented therapies.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Objective:To investigate the clinical application value of a novel filter's retraction hook capture technique of pull-assisted method for the endovascular retrieval of conical inferior vena cava (IVC) filters whose hook attached to the wall.Methods:From January 2020 to December 2024, patients with conical filters whose hook attached to the wall admitted at Beijing Jishuitan Hospital were enrolled consecutively.Results:A total of 46 patients underwent filter retrieval using filter's retraction hook capture technique of pull-assisted method. Among these patients, 39 cases (84.8%) were successful in filter retrieval, with the penetration distance of cranial anchor vertex of 3.3(2.5, 4.4) mm, and 13 (33.3%) filters were deformed. The other 7 cases were unsuccessful, with a penetration distance of cranial anchor vertex of 5.0 (4.3, 5.0) mm, and 6 (85.7%) filters were deformed. There was a statistically significant difference between the two groups ( P<0.05). One case (2.2%) had IVC injury, one case (2.2%) experienced filter fracture, and no symptomatic pulmonary embolism occurred. Logistic regression analysis showed that filter deformation was an independent dangerous factor for filter's retraction. Conclusions:Filter's retraction hook capture technique of pull-assisted method is effective in removing conical filters whose hook attached to the wall, with no symptomatic PE occurring. This method can be considered as a new adjuvant technique for filter retrieval.

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.

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 establish and validate a whole blood (WB) supply model, thereby providing practical experience for the clinical application of WB in domestic trauma emergency care and informing the development of a wartime blood supply system for the military. Methods: A “10×24” WB supply model was established by formulating blood collection protocols, storage standards, and transfusion criteria. Multiple WB samples were tested under specific storage conditions to assess key indicators at different time points, including red blood cell (RBC), white blood cell (WBC), and platelet counts, hemoglobin concentration, coagulation parameters (PT, APTT, TT, FIB), coagulation factor activity, thromboelastography (TEG) parameters, and electrolyte levels. Additionally, clinical data from hemorrhagic patients who met the criteria for WB transfusion and were admitted between March and July 2024 were analyzed to evaluate WB transfusion volume. Results: RBC counts and hemoglobin levels remained stable in WB stored at 4℃ for up to 10 days. However, platelet counts and coagulation function (PT, APTT) significantly declined with prolonged storage, while potassium levels increased. From March to July 2024, the model was successfully applied to 23 patients with acute hemorrhage, with a median WB transfusion volume of 543 mL. A detailed case study of a severe traumatic hemorrhagic shock patient was reported, who was successfully treated with 5.5 units of refrigerated WB combined with component blood. Conclusion: The “10×24” WB supply model demonstrated acceptable changes in critical quality parameters under strict management and a 10-day rotation cycle. This model effectively supports the treatment of acute hemorrhage and holds promise for integration into the future wartime blood supply system of the military.

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 look for cognitive assessment paradigms and electrocardiographic(ECG)characteristics sensitive to mental fatigue through an experimental study.Methods Data were collected from 10 healthy students of the University of Shanghai for Science and Technology who participated in the 4-day National Undergraduate Electronics Design Contest,including their Stanford sleepiness scale(SSS)scores,sleep duration,cognitive task performance,and ECG signal data.Ten ECG features,including time-domain,frequency-domain,and information-domain characteristics,were extracted during cognitive tasks.The cognitive task performance and ECG features sensitive to changes in mental fatigue were analyzed.Results Significant differences were observed in SSS scores(x2=23.116,P＜0.001)and sleep duration(x2=19.608,P＜0.001)across the 4 d.For cognitive task performance,word-color congruent accuracy and word-color incongruent accuracy in the Stroop task and Single-visual target stimulus accuracy and Visual target-auditory non-target stimulus accuracy in the audiovisual competition task all showed significant negative correlations with SSS scores(all P＜0.05).Regarding ECG features,Poincaré plot SD2 during the Stroop task was positively correlated with sleep duration(P＜0.05),while Poincaré plot SD2 during the 2-back task was positively correlated with mental fatigue assessment scores and was negatively correlated with sleep duration(both P＜0.05).Conclusion The accuracy of the Stroop task and audiovisual competition task is a cognitive ability indicator sensitive to mental fatigue,while the Poincaré plot SD2 during Stroop and 2-back tasks is an ECG indicator sensitive to mental fatigue.

Objective To investigate the predictive value of combined radiomic features derived from chest CT scans with clinical characteristics for epidermal growth factor receptor(EGFR)gene mutations in non-small cell lung cancer(NSCLC).Methods A multi-center case-control study was conducted on the clinical data and CT images of 1 070 NSCLC patients from the radiology departments of the 3 medical institutions between January 2013 and October 2023.The 719 NSCLC patients from the First Affiliated Hospital of Army Medical University were randomly divided into a training set and an internal validation set in a ratio of 7∶3;The 173 patients in the Eastern Theatre General Hospital and the 178 patients in Army Medical Centre of PLA were assigned into the external validation set 1 and 2,respectively.Least absolute shrinkage and selection operator(LASSO)regression was employed to identify the optimal radiomic features,which were subsequently used to construct a radiomics model.Univariate and multivariate logistic regression analyses were applied to identify clinical features associated with EGFR mutation,thereby developing a clinical model.The radiomic and clinical features were subsequently combined to develop a comprehensive model.All the 3 classification models were built using random forest(RF)machine learning.The area under curve(AUC),accuracy,sensitivity and specificity were utilized to evaluate the predictive performance of the models.Calibration curve was plotted to assess the goodness of fit of the comprehensive model,while decision curve analysis was performed to assess the clinical utility of the model.Results The AUC value of the radiomics model was 0.762 4(95%CI:0.692 4～0.825 1),0.745 4(95%CI:0.671 1～0.814 3),and 0.724 7(95%CI:0.639 7～0.801 6),respectively,in the internal validation set,external validation set 1,and external validation set 2;The AUC value of the clinical prediction model was 0.691 7(95%CI:0.627 9～0.757 6),0.652 5(95%CI:0.576 7～0.729 1),and 0.779 2(95%CI:0.712 5～0.847 3),respectively in the above sets in turn;The comprehensive model constructed based on clinical features and radiomic features showed the best predictive efficacy,with an AUC value of 0.818 0(95%CI:0.757 7～0.874 3),0.782 4(95%CI:0.703 1～0.848 2),and 0.796 6(95%CI:0.718 1～0.868 6),respectively in the above sets.Calibration curve analysis indicated that the comprehensive model had a good fit,while decision curve analysis revealed that the model provided a favorable net benefit.Conclusion Our comprehensive model constructed based on chest CT radiomic features and clinical characteristics shows superior predictive performance for EGFR gene mutations in NSCLC across multiple center datasets,which may be helpful for clinical decision-making for treatment strategies.

Objective To investigate the effect of gender on prognosis after transcatheter patent foramen ovale(PFO)closure in patients with cerebral infarction or transient ischemic attack.Methods A retrospective cohort study was conducted involving patients with cerebral infarction or transient ischemic attack(TIA)who underwent PFO closure at our hospital between January 2013 and December 2023.The patients were grouped by gender,and related data were collected,including age,comorbidities,Risk of Paradoxical Embolism(RoPE)score,laboratory results,findings of transthoracic/transesophageal echocardiography(TTE/TEE),and post-procedural complications,such as device-related thrombosis(DRT),recurrent stroke,bleeding,and atrial fibrillation(AF).Results A total of 112 patients were enrolled,including 59 males and 53 females,at a mean age of 42.47±12.35 years.The females had significantly higher preoperative RoPE score than the males(6.6±1.4 vs 6.0±1.5,P=0.046),and a statistical difference was observed in the distribution of infarction sites between them(Chi-square=10.25,P=0.006),indicating that the males were prone to posterior circulation infarction.Intraoperative transthoracic echocardiography revealed a greater distance from the PFO to the aortic root in the females(9.3±2.4 mm vs 7.6±2.0 mm,P<0.001).During a median follow-up of 4 years,the male group had 1 case of myocardial infarction,1 cerebral hemorrhage,1 paroxysmal AF,2 gingival bleeding episodes,and 1 skin ecchymosis.In the female group,1 case experienced pulmonary embolism,1 paroxysmal atrial fibrillation,3 gingival bleeding episodes,2 skin ecchymoses,2 recurrent cerebral infarctions,and 2 recurrent TIAs.There was no statistical difference in overall adverse events between gender(P=0.291).Although the females had higher rates of recurrent cerebral infarction and TIA,this difference lacked statistical significance(P=0.222).Multivariate Cox regression analysis indicated that after adjusting for various potential confounding factors,such as RoPE score,age,hypertension,coronary heart disease,and other factors,gender was not an independent predictor of composite endpoint events after surgery.Conclusion Gender does not significantly affect overall prognosis after PFO closure in patients with cerebral infarction or TIA.However,females showed a trend toward higher rates of recurrent cerebral infarction and TIA.