ObjectiveTobacco-related diseases remain one of the leading preventable public health challenges worldwide and are among the primary causes of premature death. In recent years, accumulating evidence has supported the classification of nicotine addiction as a chronic brain disease, profoundly affecting both brain structure and function. Despite the urgency, effective diagnostic methods for smoking addiction remain lacking, posing significant challenges for early intervention and treatment. To address this issue and gain deeper insights into the neural mechanisms underlying nicotine dependence, this study proposes a novel graph neural network framework, termed TI-GNN. This model leverages functional magnetic resonance imaging (fMRI) data to identify complex and subtle abnormalities in brain connectivity patterns associated with smoking addiction. MethodsThe study utilizes fMRI data to construct functional connectivity matrices that represent interaction patterns among brain regions. These matrices are interpreted as graphs, where brain regions are nodes and the strength of functional connectivity between them serves as edges. The proposed TI-GNN model integrates a Transformer module to effectively capture global interactions across the entire brain network, enabling a comprehensive understanding of high-level connectivity patterns. Additionally, a spatial attention mechanism is employed to selectively focus on informative inter-regional connections while filtering out irrelevant or noisy features. This design enhances the model’s ability to learn meaningful neural representations crucial for classification tasks. A key innovation of TI-GNN lies in its built-in causal interpretation module, which aims to infer directional and potentially causal relationships among brain regions. This not only improves predictive performance but also enhances model interpretability—an essential attribute for clinical applications. The identification of causal links provides valuable insights into the neuropathological basis of addiction and contributes to the development of biologically plausible and trustworthy diagnostic tools. ResultsExperimental results demonstrate that the TI-GNN model achieves superior classification performance on the smoking addiction dataset, outperforming several state-of-the-art baseline models. Specifically, TI-GNN attains an accuracy of 0.91, an F1-score of 0.91, and a Matthews correlation coefficient (MCC) of 0.83, indicating strong robustness and reliability. Beyond performance metrics, TI-GNN identifies critical abnormal connectivity patterns in several brain regions implicated in addiction. Notably, it highlights dysregulations in the amygdala and the anterior cingulate cortex, consistent with prior clinical and neuroimaging findings. These regions are well known for their roles in emotional regulation, reward processing, and impulse control—functions that are frequently disrupted in nicotine dependence. ConclusionThe TI-GNN framework offers a powerful and interpretable tool for the objective diagnosis of smoking addiction. By integrating advanced graph learning techniques with causal inference capabilities, the model not only achieves high diagnostic accuracy but also elucidates the neurobiological underpinnings of addiction. The identification of specific abnormal brain networks and their causal interactions deepens our understanding of addiction pathophysiology and lays the groundwork for developing targeted intervention strategies and personalized treatment approaches in the future.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To analyze the influence of midazolam and propofol on sedation effect and blood gas indicators in elderly patients undergoing mechanical ventilation after cardiopulmonary bypass(CPB)cardiac surgery.Methods The elderly patients with mechanical ventilation after CPB cardiac surgery were grouped according to cohort method,including midazolam group(group M),propofol group(group P)and midazolam-propofol combined administration group(group M-P).Group M was treated with midazolam(intravenous injection of 0.05-0.10 mg kg-1 midazolam for sedation induction,and then continuously intravenous injection of 0.05-0.15 mg·kg-1·h-1 midazolam by micropump),and group P was treated with propofol(intravenous injection of 0.5 mg·kg-1 propofol for sedation induction,and then continuously intravenous injection of 0.5-2.0 mg·kg-1·h-1 propofol by micropump),and group M-P was given combined administration of midazolam and propofol(intravenous injection of 0.02-0.05 mg·kg-1 midazolam and 0.2-0.5 mg·kg-1 propofol for sedation induction and then continuously intravenous pump of 0.05-0.1 mg·kg-1 midazolam and 0.5-0.8 mg·kg·h-1 propofol).The sedation effect,blood gas indicators,hemodynamic indicators,extubation time,intensive care unit(ICU)stay time and treatment cost were compared among the three groups,and the adverse drug reactions during sedation therapy were recorded.Results There were 43 cases in group M,44 cases in group P,39 cases in group M-P.The drug onset times in groups M,P and M-P were(77.94±12.05),(18.18±5.20)and(21.25±9.36)s;the times to achieve satisfactory sedation effect were(42.57±11.41),(22.63±8.17)and(23.98±10.25)min;the recovery times after withdrawal were(59.30±14.86),(19.83±5.44)and(22.16±6.29)min;the extubation times were(1.61±0.20),(1.45±0.22)and(1.37±0.15)d;the ICU stay times were(2.17±0.29),(1.91±0.36)and(1.84±0.25)d;the treatment costs were(186.59±60.83),(922.97±164.34)and(375.03±71.16)thousand yuan;and the total incidence rates of adverse drug reactions were 34.88％,4.55％and 7.69％respectively,all with significant difference(all P＜0.05).There were no statistically significant differences in mean arterial pressure(MAP),heart rate(HR),oxygen saturation(SpO2),partial pressure of oxygen(PaO2),partial pressure of carbon dioxide(PaCO2)at T0,T1,T2,T3 and T4 among the three groups(all P＞0.05).Conclusion Combined administration of midazolam and propofol in elderly patients underwent mechanical ventilation after CPB cardiac surgery has a significant sedation effect,and it is conducive to reducing the dosages of sedative drugs,and it has small impact on blood gas indicators and hemodynamic indicators of patients.Compared with midazolam alone,it is more beneficial to shortening the extubation time and ICU stay and reducing the total incidence rate of adverse drug reactions,and compared with propofol alone,it is more beneficial to reducing treatment cost,and is a more ideal sedation administration model.

Objective To provide reference for clinical rational drug use,the adverse drug reaction(ADR)automatic monitoring system was used to monitor ADR in patients treated with first-line anti-tuberculosis drugs.Methods A total of 1 147 tuberculosis patients hospitalized in the infection department of our hospital from 2019 to 2022 were selected to monitor the occurrence of ADR during the hospitalization.Univariate and multivariate analysis were used to study the risk factors affecting the incidence of ADR.Results After systematic screening and pharmacist review,a total of 598 cases of ADR related to first-line anti-tuberculosis drugs were found,with an incidence of 52.14％.ADR mainly affects the endocrine system,digestive system,and hepatobiliary system.The incidence of ADR in oral isoniazid is higher than that in intravenous drip and nebulization routes.The results of multivariate regression analysis showed that women and a history of hepatitis were independent risk factors for the occurrence of ADR(all P＜0.05).Conclusion The incidence of ADR with anti-tuberculosis drugs is high.Women and patients with a history of hepatitis are high-risk groups for adverse drug reactions to anti-tuberculosis drugs.In clinical,safer drugs should be selected for such patients,and the occurrence of ADR should be closely monitored to reduce the impact of ADR on the treatment process.

Objective Viral encephalitis is an infectious disease severely affecting human health.It is caused by a wide variety of viral pathogens,including herpes viruses,flaviviruses,enteroviruses,and other viruses.The laboratory diagnosis of viral encephalitis is a worldwide challenge.Recently,high-throughput sequencing technology has provided new tools for diagnosing central nervous system infections.Thus,In this study,we established a multipathogen detection platform for viral encephalitis based on amplicon sequencing. Methods We designed nine pairs of specific polymerase chain reaction(PCR)primers for the 12 viruses by reviewing the relevant literature.The detection ability of the primers was verified by software simulation and the detection of known positive samples.Amplicon sequencing was used to validate the samples,and consistency was compared with Sanger sequencing. Results The results showed that the target sequences of various pathogens were obtained at a coverage depth level greater than 20×,and the sequence lengths were consistent with the sizes of the predicted amplicons.The sequences were verified using the National Center for Biotechnology Information BLAST,and all results were consistent with the results of Sanger sequencing. Conclusion Amplicon-based high-throughput sequencing technology is feasible as a supplementary method for the pathogenic detection of viral encephalitis.It is also a useful tool for the high-volume screening of clinical samples.

As the backbone force of China's social and economic construction, the health status of workers is closely related to the nation's productivity and social development. Currently, cancers have become one of the major diseases threatening the health of workers. However, there are still many shortcomings in the cancer screening services for the workers. To standardize cancer screening services for workers, ensure the quality of screening services, and improve the overall screening effectiveness, 19 institutions, including Peking Union Medical College Hospital of the Chinese Academy of Medical Sciences, have jointly formulated the Group Standard "Specification for service of cancer screening for workers (T/CHAA 023-2023)". This standard follows the principles of "legality, scientific rigor, advancement, and feasibility" and combines the frontier scientific advances in cancer screening. It clarifies the relevant requirements for service principles, service design, service delivery, service management, service evaluation, and improving worker cancer screening. Implementing this group standard will help connect the common screening needs of workers, employers, and cancer screening service providers, standardize the screening process, improve screening quality, and ultimately increase the early diagnosis rate and survival rate of cancer patients. Consequently, this group standard will help safeguard workers' health rights and interests, ensure the labor force resources, promote the comprehensive coordinated and sustainable development of society, and contribute to realizing the "Healthy China 2030" strategic policy.

Objective To observe the safety and effectiveness of single dose intravenous infusion of tranexamic acid(TX-A)in dual level posterior lumbar interbody fusion(PLIF),and to explore the changes and trends in perioperative white blood cell(WBC),erythrocyte sedimentation rate(ESR),and C-reactive protein(CRP).Methods Between October 2020 and September 2022,46 patients with lumbar degenerative disease were treated with dual level PLIF,including 18 males and 28 females,with an average age of(60.24±10.68)years old,from 34 to 80 years old.They were divided into observation group and control group according to different treatment methods.There were 28 patients in the observation group,including 12 males and 16 females,with an average age of(61.04±9.03)years old.There were 3 cases with lumbar disc herniation(LDH),lumbar spinal stenosis(LSS)18 cases,lumbar spondylolisthesis(LS)7 cases.TXA(1 g/100 ml)was administered intravenously 15 min before skin incision after general anesthesia.The control group consisted of 18 patients,including 6 males and 12 females,with an average age of(59.00±13.04)years old.There were 5 cases with LDH,LSS 9 cases,LS 4 cases,and TXA was not used.The operation time,intraoperative bleeding volume,postoperative drainage volume,postoperative deep vein thrombosis(DVT),postoperative hospital stay,postoperative activated partial thromboplastin time(APTT),prothrombin time(PT),thrombin time(TT),fibrinogen(FIB),platelet(PLT),red blood cell(RBC),hemoglobin(HB),hematocrit(HCT),the first day,the fourth day,the seventh day and the last tested after operation WBC,ESR and CRP were recorded.Results The postop-erative wounds of the patients healed well and there was no DVT.46 patients were followed up from 3 to 6 months.The intraop-erative blood loss was 400.0(300.0,500.0)ml and the postoperative drainage was 260.0(220.0,450.0)ml in the observation group,which were lower than the control group[600.0(400.0,1000.0)ml,395.0(300.0,450.0)ml],P＜0.05.There was no significant difference between the two groups in operation time,postoperative hospital stay,postoperative APTT,PT,TT,FIB,PLT,RBC,HB,HCT,and postoperative WBC,ESR and CRP at different times(P＞0.05).Conclusion Single dose intravenous infusion of TXA can reduce the blood loss of bi-segmental PLIF,and has no significant effect on WBC,ESR and CRP after op-eration.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective:To harvest the primary Philadelphia chromosome-positive (Ph+) cells of B-acute lymphoblastic leukemia (B-ALL) and to establish the B-ALL mouse model. Methods:The plasmid carrying BCR-ABL P210 fusion gene was transferred into the bone marrow(BM) cells of C57BL/6J mice by retrovirus. Syngeneic mice irradiated with 9 Gy of 60Co γ-ray were injected with the transfected BM cells as the first generation (G1),and then the primary cells from the spleen and BM of the diseased mice were obtained and frozen. Sublethal γ-ray irradiated C57BL/6J mice were inoculated with the first generation of Ph+cells for in vivo passage,which were named as the second generation (G2). The third and fourth generations (G3 and G4) of Ph+cells and B-ALL mouse model were established by successive passages. Flow cytometry,H&E staining and peripheral blood smear were used to analyze the immunophenotypes and detect the pathological changes of the model mice. Results:After infusion of P210-NGFR retrovirus infected BM cells,the mice exhibited significant symptoms including weight loss,lower limbs paralysis,and arched back. Primitive and immature lymphocytes were observed in peripheral blood smears of the leukemia mice. The results of H&E staining showed obvious infiltration of leukemic cells around the central vein of the hepatic lobule and at the edge of the liver in the diseased mice. The results of flow cytometry showed that the percentages of CD19+NGFR+cells in spleen of the model mice were gradually increased with passage,which was 19.0％,47.3％ and 61.0％ in G1,G2 and G3 mice,respectively. Immunophenotypic analysis indicated that Ph+cells were stably passaged in B lymphocytes,and the purity of Ph+B lymphocytes was obviously elevated with the increase of passage frequency. Conclusion:In the present study,the primary Ph+cells were successfully obtatined and passaged in vivo,and the B-ALL mouse model was successfully established.

Aim To investigate the possible mechanism of action of Qingjie Huagong decoction(QJHGD)on acute lung injury(ALI)associated with severe acute pancreatitis(SAP)using network pharmacology,and to verify it by animal experiments.Methods The TC-MSP,BATMAN-TCM,ETCM,and SwissTargetPredic-tion databases were searched to obtain the action tar-gets of the blood-entering active ingredients of each drug in the QJHGD.The GeneCard database was searched to obtain SAP-ALI disease targets.The drug targets and disease targets were intersected to obtain common targets.Subsequently,the common targets were analyzed by STRING database and Cytoscape 3.7.1 software for protein interaction network analysis.GO and KEGG enrichment analysis was performed with the help of DAVID database.Finally,the key signa-ling pathways were verified by animal experiments.Results A total of 28 active ingredients were screened out for the treatment of SAP-ALI with 42 common tar-gets.PPI network analysis showed that STAT3,IL-6,and TGFB1 might be core targets;GO and KEGG en-richment analysis mainly involved cell proliferation,PI3K/AKT signaling pathways,etc.Animal experi-ments confirmed that QJHGD could improve the pathol-ogy of pancreas and lung tissues in SAP-ALI rat mod-el,down-regulate the expression levels of α-amylase,lipase,IL-1 β,IL-6,and TNF-α in serum,and down-regulate the expression levels of proteins and mRNAs related to PI3K/AKT1 signaling pathway in lung tis-sues.Conclusion QJHGD synergistically treats SAP-ALI through multi-component,multi-target,and multi-pathway,with a mechanism that may be related to the inhibition of PI3K/AKT signaling pathway activation.