ObjectiveTo investigate pulmonary function levels and associated influencing factors among rural elderly in Guangzhou， to identify high-risk populations for poor pulmonary function， and to reveal the relationship between the influencing factors of pulmonary function. MethodsWe recruited 1 500 residents aged 60 to 94 years from rural area of Conghua District， Guangzhou City using convenience sampling in 2023. Data on demographics， body measurements， medical history and lifestyle were collected via face-to-face questionnaires and physical examination. Meanwhile， expiratory function parameters including forced expiratory volume in one second （FEV1）， forced vital capacity （FVC）， FEV1/FVC， and the prevalence of airflow obstruction （AFO） were assessed using a portable spirometer. Age and sex distribution of pulmonary function in older adults at 5-year intervals was reported， and risk factors of AFO using multifactorial logistic regression models were analyzed. Furthermore， path analysis was further employed to explore the role of lifestyle in the association between other influencing factors and lung function. ResultsAmong the 1 500 participants， the median age was 71 years （67-75）， and 44.2% were male. Subjects identified as AFOs were generally older， more likely male， less educated， and had lower rates of moderate to vigorous physical activity （＜1 time/week） and lower lean body mass. Mean FEV1/FVC ratio was （82.0±16.4） %. FEV1/FVC was （79.80±17.58） % in men and （83.66±15.22） % in women. Older age， lower education， male sex and leanness were negatively associated with all pulmonary function outcomes （all P values＜0.05）. Path analysis identified that age， gender， marital status， occupation and income may influence pulmonary function indirectly through lifestyle. ConclusionRural elderly in Guangzhou exhibited lower pulmonary function levels， and male sex， non-married status， advanced age， lower education， smoking habits， insufficient engagement in moderate to vigorous physical activity， and lean body type were all associated with worse pulmonary function.

Triple-negative breast cancer (TNBC) is aggressive, with high recurrence rates and poor prognosis. Paclitaxel (PTX) remains a key chemotherapeutic agent for TNBC, but its efficacy diminishes due to the emergence of drug resistance, largely driven by cancer stem-like cells (CSCs), vasculogenic mimicry (VM) formation and tumor immunosuppressive microenvironment (TIME). Pyruvate kinase M2 (PKM2) is highly expressed in TNBC, and is a potential target for TNBC treatment. In this study, we developed a biomimetic codelivery system using albumin nanoparticles (termed S/P NP) to co-encapsulate PTX and shikonin (SHK), a natural inhibitor of PKM2. By inhibiting PKM2, SHK suppressed β-Catenin signaling, thereby reversing CSC stemness and preventing VM formation. The S/P NP system exhibited tumor-targeting delivery effect and significantly inhibited TNBC growth and lung metastasis. Mechanistically, the treatment reversed epithelial-mesenchymal transition (EMT) and stem-like properties of TNBC cells, suppressed VM formation, and remodeled the TIME. It reduced immunosuppressive cells (M2 macrophages, MDSCs) while promoting anti-tumor immunity (M1 macrophages, dendritic cells, cytotoxic T cells, and memory T cells). This dual-action strategy holds promise for improving TNBC therapy by targeting CSCs, VM, and the immune microenvironment, and for overcoming PTX resistance and reducing metastasis.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

Objective To summarize the key precautions in the determination of nitrogen oxides (nitric oxide and nitrogen dioxide) in the workplace air and to explore potential optimization items in the national standard analytical method. Methods According to GBZ/T 160.29-2004 Methods for Determination of Inorganic Nitrogen Compounds in the Air Workplace, comparative experiments were conducted to evaluate and optimize critical technical parameters of the standardized method, including the oxidation efficiency of oxidation tubes and the preparation and storage of absorption solutions. The application details of the standard method were refined. Results The concentrations of nitrogen oxides (nitric oxide and nitrogen dioxide) were expressed as nitrogen dioxide equivalents. During calibration, the flow calibrator should be connected to the upstream of the air sampler, and the sampling system should undergo an air tightness check. Each batch of oxidation tubes should be validated before use. Before sampling, both end caps should be removed and the tube should be equilibrated for one hour in a clean environment with 30.00%-70.00% relative humidity. The prepared absorption stock solution in this method can be stored at 4 ℃ for up to 96 days. Commercial porous plate absorption tubes must be batch-validated before use. The sampling flow rate during sampling should be consistent with that specified in the standard method. After sampling, collected samples should be sealed in 10.00 mL amber glass bottles with screw caps and stored at 4 ℃ for up to 120 hours. Conclusion This study summarizes precautions for the sampling, detection, and calculation of nitrogen oxides (nitric oxide and nitrogen dioxide)in workplace air to strengthen quality control. Experimental optimizations of oxidation tube conditioning, absorption stock solution preparation and preservation, and sample storage conditions and durations may provide references for diversifying and simplifying the detection process, which facilitate the practical application in actual work.

Objective To observe the efficacy and safety of repetitive transcranial magnetic stimulation(rTMS)on refractory tinnitus and the differences of resting-state functional magnetic resonance imaging(rs-fMRI)imaging between before and after treatment,and to explore the possible central mechanism of rTMS regulation of tinnitus.Methods Thirty-seven patients with refractory tinnitus admitted in Affiliated Hospital of North Sichuan Medical College from September 2022 to February 2023 were selected and were divided into experimental group(n=20)and control group(n=1 7).The experimental group was given true rTMS treatment,and the control group was given sham stimulation with the same parameters.Tinnitus handicap inventory(THI)score,tinnitus loudness visual analogue scale(VAS)score and rs-fMRI scan were performed before and after treatment.Regional homogeneity(ReHo)was calculated after scanning,and the different brain regions were selected as the area of interest(ROI)and the whole brain functional connection(FC)was performed.Results There were no significant differences in age,gender,education level,tinnitus side,course of disease,hearing level,self-rating depression scale,self-rating anxiety scale the experimental group and control group.There were no significant differences in THI and VAS scores between the two groups before treatment;the THI and VAS scores in the experimental group decreased after 2 weeks of rTMS treatment(P＜0.001),while there was no significant difference in the two scores in the control group before and after treatment.Only 3 patients in the experimental group experienced left facial muscle tremor or transient mild scalp pain during treatment,without other serious side effects.The ReHo of the left cerebellar area 9 increased in the experimental group after rTMS(P＜0.005);the ReHo values in the right inferior temporal gyrus,left posterior central gyrus and left anterior central gyrus increased in the control group after intervention(P＜0.005).The FCs between the right inferior temporal gyrus and the left orbital inferior frontal gyrus,the left anterior cingulate gyrus increased in the experimental group(P＜0.005),and FC between the right inferior temporal gyrus and the left superior marginal gyrus decreased(P＜0.005).The FCs between the right cuneus and the left fusiform gyrus,right superior occipital gyrus decreased in the experimental group after rTMS(P＜0.005).The FC between the right cuneus and the left fusiform gyrus increased in the control group after intervention(P＜0.005),while other FCs remained unchanged.Conclusions rTMS has a certain therapeutic effect on refractory tinnitus with higher safety;regulation of auditory brain network and related non-auditory brain network may be one of the central mechanisms of rTMS treating refractory tinnitus.

Objective To conduct hazard vulnerability analysis(HVA)in a blood bank,aimed to identify high-risk e-vents and optimize emergency management measures.Methods The risk event evaluation index system was established by referring to the Kaiser model and the situation of Guangzhou Blood Center,and risk events were ranked by risk matrix and Borda count.Results The top five events with the highest risk values identified by Kaiser model were information system e-mergencies(39.61％),extreme weather(38.03％),major public sentiment(37.86％),public health events(37.37％)and policy changes(37.24％).The results of risk matrix and Borda count revealed 1 extremely high-risk indicator as information system emergency,5 high-risk indicators with the highest risk being major public sentiment,11 medium-risk indicators with the highest risk being major medical disputes and 1 low-risk indicator as external fires.Conclusion Conducting HVA in combination with the actual situation of blood banks can effectively identify high-risk events and provide theoretical basis for improving emergency management measures.

Objective:To analyze the prognostic factors and the influence of surgical margin to prognosis.Methods:A retrospective analysis was performed for 208 pelvic tumors who received surgical treatment from January 2000 to December 2017 in our instituition. Survival analysis was performed using the Kaplan-Meier method and Log rank test, and impact factor analysis was performed using Cox regression models.Results:There were 183 initial patients and 25 recurrent cases. According to Enneking staging, 110 cases were stage ⅠB and 98 cases were stage ⅡB. 19 lesions were in zone Ⅰ, 1 in zone Ⅱ, 15 in zone Ⅲ, 29 in zone Ⅰ+Ⅱ, 71 in zone Ⅱ+Ⅲ, 29 in zone Ⅰ+Ⅳ, 35 in zone Ⅰ+Ⅱ+Ⅲ, 3 in zone Ⅰ+Ⅱ+Ⅳ, and 6 in zone Ⅰ+Ⅱ+Ⅲ+Ⅳ. Surgical margins including Intralesional excision in 7 cases, contaminated margin in 21 cases, marginal resection in 67 cases, and wide resection in 113 cases. Local recurrence occurred in 37 cases (17.8%), 25 cases were performed by reoperation and 12 cases received amputation finally. The 5-year recurrence rate of marginal resection was higher than wide resection ( P＜0.05), and the recurrence-free survival rate of marginal resection was lower than wide resection ( P＜0.05). There was significant differences in recurrence rate and recurrence-free survival rate between R0 and R1 resection ( P＜0.05). 92 cases were not reconstructed and 116 cases were reconstructed after pelvic surgery. At the last follow-up, 63 patients (30.3%) died, and the 5-year, 10-year and 15-year survival rates were 70.4%, 66.8% and 61.3%, respectively. The 5-year survival rate of stage ⅠB and ⅡB tumor was 90.4% and 46.8%, respectively. There were 29 cases had postoperative wound complications (13.8%), 1 case with pelvic organ injury. The final function was evaluated in 132 patients, with an average MSTS score of 25.1±3.6. Cox multivariate analysis showed that surgical staging, R0/R1 margin and metastasis were independent prognostic factors for pelvic tumors. Conclusions:The safe surgical margin is the key factor for recurrence-free of pelvic tumor. The survival rate of stage ⅡB pelvic tumors was significantly lower than that of stage ⅠB tumors. Wound infection is the main postoperative complication. Surgical staging, R0/R1 margin and metastasis were independent prognostic factors of pelvic tumors.

[Abstract]Objective To explore the predictive value of plaque characteristic index based on coronary CT angiography(CCTA)for disease-specific myocardial ischemia in stable coronary artery disease(CAD).Methods 90 stable CAD patients admitted to Zhongshan Hospital,Fudan University from October 2020 to March 2022 were prospectively enrolled,including 135 target vessels with stenosis degree ranging from 30%to 90%.All participants sequentially underwent CCTA,ICA,and fractional flow reserve(FFR)measurement within 2 weeks.Based on the presence or absence of significant hemodynamic stenosis,all patients were divided into myocardial ischemic population(FFR≤0.8,n=30)and non ischemic population(FFR＞0.8,n= 60),135 target blood vessels were divided into a disease-specific myocardial ischemia group(FFR≤0.8,n=36)and a non disease-specific myocardial ischemia group(FFR＞0.8,n=99).Univariate and subsequent forward stepwise multivariate logistic regression analyses were used to assess independent predictors of myocardial ischemia,and CCTA-derived plaque characteristics index logistic regression model was created.Receiver operating characteristic(ROC)analysis was used to analyze the diagnostic performance of CCTA-derived plaque characteristics index on detecting myocardial ischemia.Results There were no significant differences in age,body mass index,gender,cardiovascular risk factors,and medication between myocardial ischemia population and non-ischemia population.Compared with the non-lesion-specific ischemia group,plaque length,plaque area,percent area stenosis,total atheroma volume,vessel volume and lipid rich volume,positive remodeling and napkin-ring signs were significantly higher in lesion-specific group,while minimum luminal area(MLA)was significantly lower.MLA(OR=0.303,95%CI 0.178-0.517,P＜0.001)and total atheroma volume(TAV,OR=1.006,95%CI 1.002-1.010,P=0.003)were found to be the significant independent predictors of myocardial ischemia.The regression equation of CCTA-derived plaque characteristic index for predicting probability was P=1/[1+e-(-1.194 41×MLA+0.006 058×TAV+0.600 912)].The area under the ROC curve(AUC)of CCTA-derived plaque characteristic index on detecting myocardial ischemia was 0.879(95%CI 0.811-0.928),and the overall diagnostic accuracy,sensitivity,specificity,PPV and NPV were 80.0%,83.3%,78.8%,58.8%,and 92.9%,respectively.Conclusions CCTA-derived plaque characteristic index performs well in diagnosing lesion-specific myocardial ischemia,showing its great clinical application prospect.

Objective To analyze differential metabolites (DMs) in the urine of workers with occupational nickel exposure using non-targeted metabolomics, and to screen differential metabolic pathways. Methods A total of 30 nickel exposed workers were selected as the exposure group, and 30 administrative staff from the same factory were selected as the control group using the judgment sampling method. Urine samples of the individuals from the two groups were collected. The ultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry and non-targeted metabolomics were used to detect and identify metabolites. The differential metabolic profiles were compared between workers of the two groups, and key differential metabolic pathways and potential biomarkers were screened. The association of DMs and urinary nickel level were evaluated by Spearman correlation coefficients. The sensitivity and specificity of biomarkers were assessed by receiver operating characteristic (ROC) curve analysis. Results A total of 418 metabolites were identified in the urine of worker in the exposure and control groups. The result of principal component analysis and orthogonal partial least squares analysis showed that there were 128 DMs in the urine of workers in the exposure group compared with the control group. These DMs were mainly enriched in glutathione metabolism, carnitine synthesis, and amino acid and nucleotide metabolism pathways, including glycine and serine metabolism. The result of correlation analysis and ROC curve analysis revealed that 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid could be the potential biomarkers for nickel exposure (all area under the ROC curve >0.800). Conclusion There were significant differences in the urinary metabolic profiles of workers with occupational nickel exposure. The five DMs including 4-methylcatechol, 4-vinylphenol sulfate, 2-hydroxyphenylacetone sulfate, 2-dodecylbenzenesulfonic acid, and decylbenzenesulfonic acid. These DMs could be potential biomarkers of occupational nickel exposure.