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.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Malignant pleural effusion (MPE) refers to the accumulation of pleural fluid caused by metastasis from primary pleural malignancies or tumors originating elsewhere. It is associated with a poor prognosis. Current treatment strategies primarily include systemic anti-tumor therapy and local management of MPE based on the primary tumor. Numerous studies have documented diverse approaches for the local control of MPE. This review summarizes recent advances in local treatment strategies for primary tumor-related MPE, highlighting emerging pharmacological agents and innovative techniques.
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Humans ; Pleural Effusion, Malignant/drug therapy*

BACKGROUND: Based on the China-VHD database, this study sought to develop and validate a Valvular Heart Disease- specific Age-adjusted Comorbidity Index (VHD-ACI) for predicting mortality risk in patients with VHD. METHODS & RESULTS: The China-VHD study was a nationwide, multi-centre multi-centre cohort study enrolling 13,917 patients with moderate or severe VHD across 46 medical centres in China between April-June 2018. After excluding cases with missing key variables, 11,459 patients were retained for final analysis. The primary endpoint was 2-year all-cause mortality, with 941 deaths (10.0%) observed during follow-up. The VHD-ACI was derived after identifying 13 independent mortality predictors: cardiomyopathy, myocardial infarction, chronic obstructive pulmonary disease, pulmonary artery hypertension, low body weight, anaemia, hypoalbuminaemia, renal insufficiency, moderate/severe hepatic dysfunction, heart failure, cancer, NYHA functional class and age. The index exhibited good discrimination (AUC, 0.79) and calibration (Brier score, 0.062) in the total cohort, outperforming both EuroSCORE II and ACCI (P < 0.001 for comparison). Internal validation through 100 bootstrap iterations yielded a C statistic of 0.694 (95% CI: 0.665-0.723) for 2-year mortality prediction. VHD-ACI scores, as a continuous variable (VHD-ACI score: adjusted HR (95% CI): 1.263 (1.245-1.282), P < 0.001) or categorized using thresholds determined by the Yoden index (VHD-ACI ≥ 9 vs. < 9, adjusted HR (95% CI): 6.216 (5.378-7.184), P < 0.001), were independently associated with mortality. The prognostic performance remained consistent across all VHD subtypes (aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid valve disease, mixed aortic/mitral valve disease and multiple VHD), and clinical subgroups stratified by therapeutic strategy, LVEF status (preserved vs. reduced), disease severity and etiology. CONCLUSION The VHD-ACI is a simple 13-comorbidity algorithm for the prediction of mortality in VHD patients and providing a simple and rapid tool for risk stratification.

OBJECTIVE: To observe the effects of electroacupuncture at the pterygopalatine region on nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3)-mediated pyroptosis and inflammatory factors in rats with allergic rhinitis (AR). METHODS: Twenty-four SD rats were randomly divided into a blank group, a model group, an acupuncture group and an electroacupuncture group, 6 rats in each group. Except for the blank group, OVA-induced AR model was established in the remaining groups. In the electroacupuncture group, the rats were treated with electroacupuncture at the bilateral pterygopalatine region, with disperse-dense wave, in frequency of 2 Hz/100 Hz and current of 0.5-1 mA, 15 min each time, once every other day, for 3 times. In the acupuncture group, the rats were treated with acupuncture at bilateral pterygopalatine region simply, without electrical stimulation. The rhinitis symptom score was observed, the pathomorphology of the nasal mucosa was observed by HE staining; the serum levels of OVA-specific immunoglobulin E (OVA-sIgE), interleukin (IL)-4, IL-6 and IL-1β were detected by ELISA; the mRNA expression of NLRP3, apoptosis-associated speck-like protein containing CARD (ASC), cysteinyl aspartate specific proteinase-1 (caspase-1) and IL-18 in the nasal mucosa was detected by real-time PCR; the protein expression of NLRP3, ASC, caspase-1 and IL-18 in the nasal mucosa was detected by Western blot. RESULTS: Compared with the blank group, in the model group, the rhinitis symptom score was increased (P<0.01), the serum levels of OVA-sIgE, IL-4, IL-6 and IL-1β were increased (P<0.05), the nasal mucosa showed pathomorphology of inflammatory infiltration; the mRNA and protein expression of NLRP3, ASC, caspase-1 and IL-18 in the nasal mucosa was increased (P<0.05). Compared with the model group, in the electroacupuncture group, the rhinitis symptom score was reduced (P<0.01), the pathology of the nasal mucosa was improved; the serum levels of OVA-sIgE, IL-4, IL-6 and IL-1β were decreased (P<0.05); the mRNA and protein expression of NLRP3, ASC, caspase-1 and IL-18 in the nasal mucosa was decreased (P<0.05). CONCLUSION Electroacupuncture at the pterygopalatine region can exerting the anti-inflammatory effect by inhibiting NLRP3-mediated pyroptosis and inflammatory factor imbalance, thus alleviate rhinitis symptoms in AR rats.
Animals ; Electroacupuncture ; NLR Family, Pyrin Domain-Containing 3 Protein/immunology* ; Rats ; Rats, Sprague-Dawley ; Rhinitis, Allergic/physiopathology* ; Pyroptosis ; Male ; Acupuncture Points ; Humans ; Female ; Interleukin-1beta/genetics* ; Interleukin-18/immunology* ; Interleukin-6/genetics* ; Caspase 1/immunology*

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

In the aftermath of the pandemic,the government is accelerating the development of top-tier medical resources to broaden the supply and deliver superior healthcare services.However,during this transitional phase,hospitals are experiencing operational challenges due to concurrent construction activities.Notably,a shortage of parking facilities and increased traffic con-gestion continue to impactmedial consultation experience of patients.This paper tries to explore strategies and methods for dynam-ic parking management during hospital campus expansions,offering insights for other medical institutions into grappling with pa-tient parking issues.

In recent year,under the influence of the concept of"slow employment"and"lazy employment",more and more job seekers flow to the market.Considering that human resource is the basic of hospital survival and development,and talent recruitment is the source of talent work,hospitals need to ensure effective recruitment of talents under the digital economy era,and seize these opportunities to attract talents.By analyzing the measures of the recruitment process of the Six Affiliated Hospital of Sun Yat-sen University during 2018-2023,the paper summarizes the hospital's experience to improve the recruitment process by building a broader,more complete,faster and more accurate recruitment system.At the same time,the recruitment process should be constantly optimized in accordance with the current policies of epidemic prevention and control to ensure that talents are available for hospitals and hospitals can employ the most suitable talents.

AIM To investigate the flavor technology for Jiannaoning Mixture based on electronic tongue combined with preference index.METHODS Artificial sensory evaluation method was employed to screen the type of flavor agents,electronic tongue was applied to screening the consumption of flavor agents,and double-bottle preference test was adopted in the analysis of effects of rat gender and body weight on taste sensitivity,after which acceleration test was conducted.RESULTS Sucrose,stevioside and xylitol were taken as flavor agents,whose optimal consumptions were 15%,0.08%and 15%,respectively.Male rats demonstrated stable taste perception with the body weights of 220-280 g,and 0.08%stevioside displayed the best flavoring effect.After placed under accelerated condition for 3 months,the preparation exhibited stable appearance,pH value and contents of lobetyolin,salvianolic acid B,schizandrin,ruscogenin.CONCLUSION This stable and reliable method can provide reference for improving the terrible tastes of Jiannaoning Mixture and other oral liquid preparations of traditional Chinese medicines.

AIM:The purpose of this paper is to study whether the precise administration of vanco-mycin under the guidance of the model can achieve better clinical treatment effect by imple-menting the precise medication model in Sichuan Provincial People's Hospital,so as to promote its wide application in practice.METHODS:A prospec-tive cohort study was conducted.The experimental group was patients who used the Model-informed Precision Dosing to determine the vancomycin dos-ing regimen,and the control group was patients who only decided the vancomycin dosing regimen based on the existing diagnosis and treatment pro-cess.Two sets of data were matched to compare whether there were significant differences be-tween the two groups of patients in the TDM steady-state trough concentration or the steady-state AUC compliance ratio,and to evaluate the ap-plication value of the model software.RESULTS:Ac-cording to the inclusion and exclusion criteria,the steady-state blood concentration data of vancomy-cin in a total of 280 patients were used for analysis.The final result of the experiment was that the number of people in the experimental group was 10,and the compliance rate was 62.50％.There were 64 cases in the control group,and the compli-ance rate was 24.24％(P=0.002).CONCLUSION:The study found that the model-guided precise dos-ing regimen can more accurately control the blood concentration of vancomycin in patients,and signif-icantly improve the patient's steady-state trough concentration compliance rate.Therefore,it is rec-ommended to increase the research on the pro-gram and promote its wide application in clinical practice.