BACKGROUND: The association of systemic inflammatory response index (SIRI) with prognosis of coronary artery disease (CAD) patients has never been investigated in a large sample with long-term follow-up. This study aimed to explore the association of SIRI with all-cause and cause-specific mortality in a nationally representative sample of CAD patients from United States. METHODS: A total of 3386 participants with CAD from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were included in this study. Cox proportional hazards model, restricted cubic spline (RCS), and receiver operating characteristic curve (ROC) were performed to investigate the association of SIRI with all-cause and cause-specific mortality. Piece-wise linear regression and sensitivity analyses were also performed. RESULTS: During a median follow-up of 7.7 years, 1454 all-cause mortality occurred. After adjusting for confounding factors, higher lnSIRI was significantly associated with higher risk of all-cause (HR = 1.16, 95% CI: 1.09-1.23) and CVD mortality (HR = 1.17, 95% CI: 1.05-1.30) but not cancer mortality (HR = 1.17, 95% CI: 0.99-1.38). The associations of SIRI with all-cause and CVD mortality were detected as J-shaped with threshold values of 1.05935 and 1.122946 for SIRI, respectively. ROC curves showed that lnSIRI had robust predictive effect both in short and long terms. CONCLUSIONS SIRI was independently associated with all-cause and CVD mortality, and the dose-response relationship was J-shaped. SIRI might serve as a valid predictor for all-cause and CVD mortality both in the short and long terms.

Objective:To evaluate the long-term efficacy and safety of recombinant coagulation factor Ⅷ (Octocog alfa) in Chinese patients with hemophilia A (HA) enrolled in the International Antihemophilic Factor Hemophilia A Outcome Database (AHEAD) study (NCT02078427) .Methods:Enrollment of Chinese patients in the AHEAD study was completed by January 2021, and data were collected up to July 15, 2022. This study primarily assessed patients in terms of the Gilbert score, global gait score within the Hemophilia Joint Health Score (HJHS), annualized bleeding rate (ABR), annualized joint bleeding rate, and adverse events.Results:A total of 168 male patients were included in this study, of which 113 received prophylactic treatment and 53 received on-demand treatment. The average age of the patients was 21.4±13.37 years. Compared with baseline, the global gait score within HJHS significantly decreased during the 1-year follow-up in patients with moderately severe HA in the prophylactic treatment group ( P=0.01) and on-demand treatment group ( P=0.008). The mean reduction in Gilbert score was greater in the prophylactic treatment group than in the on-demand treatment group (28.6% vs 8.2%). The average ABR decreased significantly during the 1-year follow-up (3.70 vs 7.78, P=0.01) in the prophylactic treatment group, particularly in patients with severe HA (2.14 vs 8.98, P=0.006) and pediatric patients (2.1 vs 4.73, P=0.03). The ABR score also decreased significantly in the moderate-dose prophylactic treatment group ( P=0.015). During the 1-year follow-up, 25 patients (14.9%) reported 39 adverse events, with only one patient developing treatment-related F Ⅷ inhibitor. Conclusion:Joint mobility improved in patients receiving either prophylactic or on-demand Octocog alfa. Bleeding episodes significantly reduced in patients receiving prophylactic treatment, particularly in pediatric patients and those with severe HA.

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.

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.

Objective To describe and analyze the current status,changing trend and influencing factors of the disease burden of cervical,endometrial and ovarian cancer in China from 1990 to 2021.Methods Data on incidence,mortality,disability-adjusted life year(DALY),and other indicators for cervical,endometrial and ovarian cancer were collected from the 2021 Global Burden of Disease database.Joinpoint regression models were used to analyze time trends,and age-period-cohort(APC)models assessed their impact on incidence and mortality.Spearman correlation analysis was performed to evaluate the relationship between the sociodemographic index(SDI)and the cancer indicators.Finally,the attributable risk factors for the disease burden were analyzed.Results From 1990 to 2021,age-standardized incidence rates of cervical and endometrial cancers in China significantly increased,while ovarian cancer showed no significant change.Age-standardized mortality,DALY,and years of life lost due to premature death(YLL)decreased significantly.The disease burden was heavier in middle-aged and older groups.APC model indicated an increase in cervical cancer incidence and a decrease in mortality over time.Furthermore,the incidence risks of cervical and endometrial cancers were elevated in successive birth cohorts,whereas a lower risk was observed for ovarian cancer.Correlation analysis showed significant associations between cancer incidence and mortality with SDI.Obesity has significantly contributed to the disease burden of common gynecologic cancers in China.Conclusion Mortality rates of cervical,endometrial and ovarian cancer have declined,while the incidence of cervical and endometrial cancers has significantly increased.The trends in incidence and mortality are influenced by age,period and cohort effects.Future efforts should focus on controlling risk factors like obesity to reduce the disease burden.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To describe and analyze the current status,changing trend and influencing factors of the disease burden of cervical,endometrial and ovarian cancer in China from 1990 to 2021.Methods Data on incidence,mortality,disability-adjusted life year(DALY),and other indicators for cervical,endometrial and ovarian cancer were collected from the 2021 Global Burden of Disease database.Joinpoint regression models were used to analyze time trends,and age-period-cohort(APC)models assessed their impact on incidence and mortality.Spearman correlation analysis was performed to evaluate the relationship between the sociodemographic index(SDI)and the cancer indicators.Finally,the attributable risk factors for the disease burden were analyzed.Results From 1990 to 2021,age-standardized incidence rates of cervical and endometrial cancers in China significantly increased,while ovarian cancer showed no significant change.Age-standardized mortality,DALY,and years of life lost due to premature death(YLL)decreased significantly.The disease burden was heavier in middle-aged and older groups.APC model indicated an increase in cervical cancer incidence and a decrease in mortality over time.Furthermore,the incidence risks of cervical and endometrial cancers were elevated in successive birth cohorts,whereas a lower risk was observed for ovarian cancer.Correlation analysis showed significant associations between cancer incidence and mortality with SDI.Obesity has significantly contributed to the disease burden of common gynecologic cancers in China.Conclusion Mortality rates of cervical,endometrial and ovarian cancer have declined,while the incidence of cervical and endometrial cancers has significantly increased.The trends in incidence and mortality are influenced by age,period and cohort effects.Future efforts should focus on controlling risk factors like obesity to reduce the disease burden.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective:To evaluate the long-term efficacy and safety of recombinant coagulation factor Ⅷ (Octocog alfa) in Chinese patients with hemophilia A (HA) enrolled in the International Antihemophilic Factor Hemophilia A Outcome Database (AHEAD) study (NCT02078427) .Methods:Enrollment of Chinese patients in the AHEAD study was completed by January 2021, and data were collected up to July 15, 2022. This study primarily assessed patients in terms of the Gilbert score, global gait score within the Hemophilia Joint Health Score (HJHS), annualized bleeding rate (ABR), annualized joint bleeding rate, and adverse events.Results:A total of 168 male patients were included in this study, of which 113 received prophylactic treatment and 53 received on-demand treatment. The average age of the patients was 21.4±13.37 years. Compared with baseline, the global gait score within HJHS significantly decreased during the 1-year follow-up in patients with moderately severe HA in the prophylactic treatment group ( P=0.01) and on-demand treatment group ( P=0.008). The mean reduction in Gilbert score was greater in the prophylactic treatment group than in the on-demand treatment group (28.6% vs 8.2%). The average ABR decreased significantly during the 1-year follow-up (3.70 vs 7.78, P=0.01) in the prophylactic treatment group, particularly in patients with severe HA (2.14 vs 8.98, P=0.006) and pediatric patients (2.1 vs 4.73, P=0.03). The ABR score also decreased significantly in the moderate-dose prophylactic treatment group ( P=0.015). During the 1-year follow-up, 25 patients (14.9%) reported 39 adverse events, with only one patient developing treatment-related F Ⅷ inhibitor. Conclusion:Joint mobility improved in patients receiving either prophylactic or on-demand Octocog alfa. Bleeding episodes significantly reduced in patients receiving prophylactic treatment, particularly in pediatric patients and those with severe HA.

Objective To investigate the predictive value of acute ischemic stroke associated pneumonia score (AIS-APS) combined with systemic immune inflammation index (SII) in the early clinical outcome of stroke-associated pneumonia (SAP). Methods A retrospective study method was conducted involving 287 AIS patients who were diagnosed and treated in Zhujiang Hospital,Southern Medical University from January 2022 to December 2023. The patients were divided into SAP group (79 cases) and non-SAP group (208 cases) according to whether SAP occurred. Collect the following data,include the patient's basic information[gender,age,body mass index (BMI),smoking history],previous history[atrial fibrillation,congestive heart failure,chronic obstructive pulmonary disease (COPD),diabetes history],laboratory test results[biochemical indicators:blood glucose,triglycerides (TG),total cholesterol (TC),high-density lipoprotein cholesterol (HDL-C),low-density lipoprotein cholesterol (LDL-C),glycated hemoglobin (HbA1c) and blood indicators:white blood cell count (WBC),neutrophilic count (NEU),lymphocyte count (LYM),platelet count (PLT)],SII,National Institutes of Health Stroke Scale (NIHSS) score at admission,AIS-APS,the difference of the above indexes between the two groups with different prognosis was compared. The risk factors for SAP were screened by Logistic regression analysis,and the predictive value of AIS-APS and SII for SAP was evaluated by receiver operator characteristic curve (ROC curve). Patients were followed up for 90 days to analyze the association between AIS-APS and SII and early outcomes. Use Pearson correlation analysis to analyze the correlation between SII and AIS-APS risk levels and patient prognosis. Results Compared with non-SAP group,patients with atrial fibrillation,congestive heart failure,COPD and proportion of patients with smoking history and TG,WBC,NEU,SII,NIHSS and AIS-APSY were significantly higher in SAP group[atrial fibrillation:13.92％ (11/79) vs. 7.12％ (15/208),congestive heart failure:32.92％ (26/79) vs. 26.44％ (55/208),COPD:34.17％ (27/79) vs. 24.52％ (51/208),smoking history:15.18％ (12/79) vs. 7.69％ (16/208),TG (mmol/L):1.79 (1.31,2.53) vs. 1.40 (1.03,1.99),WBC (×109/L):8.98 (6.78,9.15) vs. 6.02 (4.29,8.17),NEU (×109/L):5.20 (4.03,7.99) vs. 4.69 (3.31,5.53),SII:1145.9 (895.50,1346.3) vs. 545.80 (385.50,639.10),NIHSS score:6.00 (3.00,11.00) vs. 2.00 (1.00,4.75),AIS-APS:28.02 (14.29,33.17) vs. 22.98 (19.78,28.15),all P<0.05],while LYM was significantly decreased[×109/L:1.13 (0.95,2.25) vs. 1.62 (1.29,2.67),P<0.05]. Logistic regression analysis showed that atrial fibrillation,congestive heart failure,COPD,TG,SII and AIS-APS were all independent risk factors for AIS occurrence of SAP[odds ratio (OR) were 1.258,1.040,1.338,1.583,1.631 and 1.407,respectively,95％ confidence interval (95％CI) were 1.093-1.210,1.006-1.109,1.145-1.274,1.205-1.874,1.504-1.759,and 1.267-1.673,respectively;P values were 0.002,0.045,0.037,0.034,0.010,0.018,respectively]. ROC curve analysis shows:SII,AIS-APS and their combined detection had predictive value for the occurrence of SAP. When SII and AIS-APS were combined,area under the curve (AUC) increased to 0.894,the sensitivity increased to 83.67％,and the specificity increased to 88.65％,P=0.012,which was significantly better than SII and AIS-APS alone. At 90 days of follow-up,SII and AIS-APS risk levels were found to be strongly associated with the prognosis of AIS patients,with higher SII and AIS-APS risk levels predicting poor prognosis. Pearson correlation analysis showed that both SII and AIS-APS risk levels were positively correlated with the prognosis of AIS patients (r values were 0.906 and 0.418,respectively,both P<0.05). Conclusion AIS-APS combined with SII can effectively predict the risk of SAP and is closely related to the early clinical outcomes of patients.