Objective To systematically analyze the spatiotemporal distribution characteristics and epidemiological trends of tracheal, bronchus, and lung cancer (TBL) disease burden attributed to air pollution globally and in China and the United States from 1990 to 2021, and to assess the patterns of disease burden changes from 2022 to 2031 based on predictive models, providing a scientific basis for formulating targeted TBL prevention and control strategies. Methods Based on the Global Burden of Disease (GBD) 2021 database, we analyzed the disease burden data of TBL attributed to air pollution globally and in China and the United States from 1990 to 2021. R Studio 4.3.2 software was used to analyze the corresponding trends and the Bayesian age-period-cohort (BAPC) prediction model was used to predict the status of the disease burden of TBL attributed to air pollution in the world and in China and the United States from 2022 to 2031. Results In 2021, China had the highest number of deaths and disability-adjusted life years attributed to air pollution (211 400 patients and 4.8947 million person-years), followed by the United States (6 000 patients and 124 300 person-years). The age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life years rate (ASDR) of TBL due to air pollution in the world and in China and the United States showed a decreasing trend. From 1990 to 2021, the ASMR and ASDR of TBL in China due to air pollution were much higher than those in the United States and the global average. In terms of gender, from 1990 to 2021, the disease burden of male patients with TBL attributed to air pollution was much higher than that of female patients. The BAPC prediction model showed that from 2022 to 2031, the ASMR and ASDR of TBL attributed to air pollution showed an upward trend globally, while they showed a downward trend in China and the United States. Conclusion Over the past 30 years, the air pollution-related TBL disease burden in the world and in China and the United States has continued to decline, but China's disease burden is still significantly higher than the global average. The disease burden in men far exceeds that in women, with men and the population aged ≥50 years being high-risk groups. In the future, the global disease trend may reverse and rise, while China and the United States are expected to continuously decline. However, precise prevention and control for high-risk groups remains a key challenge.

Objective To integrate and analyze the disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019, along with the differences between genders, and predict the trends in disease burden changes from 2020 to 2029 to improve prevention and treatment strategies. Methods The disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019 was extracted and integrated from the 2019 Global Burden of Disease (GBD) database, and the corresponding trend was analyzed using the Joinpoint regression model with Joinpoint 4.9.1.0 software. The gray prediction model [GM (1, 1) ] was used to forecast the disease burden of alcohol-related esophageal cancer in China from 2020 to 2029. Results In 2019, the leading causes of esophageal cancer in China were tobacco, alcohol, high body mass index, and insufficient fruit and vegetable intake, accounting for the first to fifth positions in esophageal cancer deaths. From a gender perspective, in 2019, the death number and standardized mortality rate for males were 18.97 times and 20.00 times higher than for females, respectively. The disability-adjusted life years (DALYs) and standardized DALYs rate for males were 33.08 times and 24.78 times higher than those for females, respectively, indicating a heavier disease burden of alcohol-related esophageal cancer among Chinese males. From 1990 to 2019, the average annual percentage change (AAPC) in deaths and DALYs due to alcohol-related esophageal cancer in China was 2.08% and 1.63%, respectively, showing a continuous upward trend with statistical significance (P<0.05). The AAPC values for standardized mortality rate and standardized DALYs rate from 1990 to 2019 were –0.92% and –1.23%, respectively, showing a continuous downward trend with statistical significance (P<0.05). The population aged ≥55 years was the main group bearing the disease burden among all age groups from 1990 to 2019. The gray prediction model predicted that by 2029, the overall standardized mortality rate and standardized DALYs rate would decrease to 2.94/100 000and 67.94/100 000, with a greater decline in females than in males. Conclusion Over the past 30 years, the disease burden of alcohol-related esophageal cancer in China has slightly decreased. However, the reduction in disease burden is still lower compared to the overall decline in esophageal cancer burden, and the disease burden for males is significantly higher than for females. Focusing on prevention and treatment for males and the elderly population remains a major issue in addressing alcohol-related esophageal cancer in China.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss, with few effective treatments currently available. The multifactorial nature of AD, shaped by genetic, environmental, and biological factors, complicates both research and clinical management. Recent advances in artificial intelligence (AI) and multi-omics technologies provide new opportunities to elucidate the molecular mechanisms of AD and identify early biomarkers for diagnosis and prognosis. AI-driven approaches such as machine learning, deep learning, and network-based models have enabled the integration of large-scale genomic, transcriptomic, proteomic, metabolomic, and microbiomic datasets. These efforts have facilitated the discovery of novel molecular signatures and therapeutic targets. Methods including deep belief networks and joint deep semi-non-negative matrix factorization have contributed to improvements in disease classification and patient stratification. However, ongoing challenges remain. These include data heterogeneity, limited interpretability of complex models, a lack of large and diverse datasets, and insufficient clinical validation. The absence of standardized multi-omics data processing methods further restricts progress. This review systematically summarizes recent advances in AI-driven multi-omics research in AD, highlighting achievements in early diagnosis and biomarker discovery while discussing limitations and future directions needed to advance these approaches toward clinical application.

Objective To comprehensively analyze the disease burden of respiratory cancers in China from 1990 to 2021, and predict the trend of disease burden changes from 2022 to 2031, in order to improve its prevention and treatment strategies. Methods Data from the Global Burden of Disease (GBD) 2021 database were extracted and analyzed for the disease burden of nasopharyngeal cancer, laryngeal cancer, and tracheal, bronchial and lung cancers (hereinafter referred to as lung cancer) in China from 1990 to 2021. The Joinpoint 4.9.1.0 software was utilized to analyze the corresponding trends. The grey prediction model [GM (1,1)] was employed to forecast the disease burden of respiratory cancers in China from 2022 to 2031. Results The disease burden of respiratory cancers attributed to tobacco and occupational carcinogens in China raised from 1990 to 2021. Among the respiratory cancers, lung cancer led in terms of incidence, mortality, and disability-adjusted life years (DALY) and their respective age-standardized rates from 1990 to 2021, followed by nasopharyngeal cancer, with laryngeal cancer being the lowest. Analysis via the Joinpoint regression model indicated that, overall, the disease burden of nasopharyngeal and laryngeal cancers in China decreased during this time period, while that of lung cancer increased. From a gender perspective, the disease burden of male patients was significantly higher than that of female patients from 1990 to 2021. Compared to the global average, the disease burden of respiratory cancers in China from 1990 to 2021 was still relatively heavy. As of 2021, the middle-aged and elderly population above 50 years old was the primary group suffering from the disease burden of respiratory cancers in China. The prediction model showed that the age-standardized rate of nasopharyngeal cancer in China would decline from 2022 to 2031; the age-standardized incidence rate of laryngeal cancer in China would increase, while its age-standardized mortality rate and DALY rate would both decrease; the age-standardized rates of lung cancer in China would increase. Conclusion In the past 30 years, the disease burden of nasopharyngeal and laryngeal cancers in China has lightened, but the overall disease burden of lung cancer is still on the rise. Compared to the global average, the disease burden of respiratory cancers in China is still relatively heavy. The disease burden in male patients is significantly higher than that in female patients, and the population above 50 years old is the main group suffering from the disease burden. In the next 10 years, the disease burden of respiratory cancers in China will still tend to increase. Therefore, targeted prevention and treatment strategies for men and the middle-aged and elderly populations remain key challenges that urgently need to be addressed in China's response to respiratory cancers.

Objective:To summarize and evaluate the relevant evidence of exercise intervention for adult hemophiliacs patients at home and abroad, and to provide a reference basis for healthcare professionals to individualize exercise programs for adult hemophiliacs.Methods:A computer-based "6s" evidence resource pyramid model was used to systematically search for guidelines, evidence summaries, expert consensuses, systematic reviews and random controlled trials on exercise of adult hemophiliacsin databases such as China Biology Medicine disc, Wanfang Med Online, UpToDate, BMJ Best Practice, PubMed, etc, from the time of creation to January 31, 2023. Quality assessment, evidence extraction and evidence integration of relevant literature was performed by two researchers, with a third researcher adjudicating in case of conflicting opinions. An expert panel meeting was conducted to rate the level of evidence extracted.Results:A total of 15 literatures were included. Among them, 4 guidelines, 2 expert consensuses, 2 systematic reviews, and 7 randomized controlled trials. A total of 28 pieces of best evidence were developed, encompassing 6 aspects of exercise assessment, exercise modality, exercise duration, exercise intensity, precautions, and benefits of exercise.Conclusions:Before exercising, hemophiliacs should be assessed by a multidisciplinary team and an appropriate exercise program should be developed to maintain normal body functions and improve the quality of life of hemophiliacs.

Objective To explore the best neoadjuvant treatment strategy for esophageal cancer and provide a theoretical basis for clinical formulation of neoadjuvant treatment plan. Methods PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, Wanfang, and VIP were searched from inception to May 2022. Two researchers independently performed literature screening and data extraction. The quality of the studies was evaluated by the Cochrane risk of bias tool, and data analysis was performed in RStudio environment using R3.6.3 software. Results A total of 24 studies were included, covering 5 286 patients treated with surgery alone, neoadjuvant chemotherapy (NCT), neoadjuvant radiotherapy (NRT), or neoadjuvant chemoradiotherapy (NCRT) followed by combined surgical treatment. The risk of bias of the studies was low. The results of the network meta-analysis showed that combined surgical treatments after NCRT [HR=0.77, 95%CI (0.70, 0.85)] and NCT [HR=0.89, 95%CI (0.81, 0.98)] were effective methods to improve patients' overall survival (OS) compared with surgery alone. In addition, NCRT could significantly reduce the incidence of local recurrence [OR=0.43, 95%CI (0.30, 0.58)] and distant metastasis [OR=0.71, 95%CI (0.52, 0.93)] in patients with esophageal cancer. However, NCRT [RR=1.30, 95%CI (0.77, 2.20)] increased the mortality rate of patients at 30 d after surgery. Conclusion The available evidence suggests that NCRT combined with surgery is the best option for treating patients with resectable esophageal cancer, but this treatment carries the risk of increased 30 d postoperative mortality. Future studies should focus on optimizing the NCRT regimen with the aim of improving patients’ OS while effectively reducing postoperative mortality. In addition, more high-quality randomized controlled trials are needed to support the results of the study.

Objective:To investigate whether octyl ester derivative of ginsenoside Rh2(Rh2-O)can induce immunogenic cell death of Huh-7 hepatocellular carcinoma cells and possible mechanism.Methods:Huh-7 cells were cultured in vitro,and divided into control group,Rh2-O group,positive control group(mitoxantrone treatment).Viability and apoptosis of cells were detected by CCK-8 and flow cytometry,respectively.Concentrations of high mobility family protein 1(HMGB1)and adenosine triphosphate(ATP)in supernatant were detected by ELISA and chemiluminescence assay,respectively.Membrane eversion of calreticulin(CRT)was detected by immunofluorescence assay.ROS level in cells was detected by fluorescence probe DCFH-DA,and expressions of proteins associated with endoplasmic reticulum stress signaling pathway were detected by Western blot.Results:Rh2-O treatment significantly reduced cell viability,promoted apoptosis,induced secretion of HMGB1,ATP,membrane eversion of CRT,increased accumulation of ROS in cells,and enhanced expressions of endoplasmic reticulum stress-related proteins PERK,eIF2α,p-eIF2α(all P<0.05).After addition of endoplasmic reticulum stress inhibitor 4-phenylbutyric acid(4-PBA),membrane eversion of CRT induced by Rh2-O was significantly inhibited(P<0.05).Conclusion:Rh2-O can induce immunogenic cell death in hepatocellular carcinoma cells,whose mechanism may be associated with activation of endoplasmic reticulum stress and promotion of CRT membrane eversion.

Objectives:To analyze the disease burden and changing trends of non-rheumatic valvular heart disease(NRVHD)from 1990 to 2019 in China. Methods:Based on the Global Burden of Disease 2019 database,we collected data related to NRVHD in China from 1990 to 2019,analyzed the crude incidence rate,crude prevalence rate,crude disability-adjusted life year(DALY),and age-scaled rate of NRVHD during this period,and analyzed the corresponding trends.The grey prediction model GM(1,1)was used to predict the disease burden of NRVHD in China from 2020 to 2029. Results:The crude incidence,crude prevalence,and crude DALY rates of NRVHD increased in China from 7.87/100 000,123.21/100 000,and 9.83/100 000 in 1990 to 22.85/100 000,374.16/100 000,and 11.95/100 000 in 2019;the age-standardized incidence rate and the age-standardized prevalence rate increased from 9.22/100 000 and 169.04/100 000 in 1990 to 15.30/100000 and 262.85/100 000 in 2019 respectively,with females being higher than males;the age-standardized DALY rate declined from 13.43/100 000 in 1990 to 9.07/100 000 in 2019,with females being higher than males.Joinpoint regression model analysis showed an increasing trend in the age-standardized incidence rate and age-standardized prevalence rate,and a decreasing trend in the age-standardized DALY rate(annual average percentage change[AAPC]values of 1.86%,1.72%and-1.66%,respectively),trend of change was statistically significant(all P<0.05).The burden of disease for all age groups from 1990 to 2019 showed an overall increasing trend,and the crude incidence rate,crude prevalence rate and crude DALY rate all increased with age,and the elderly group over 60 years old was the main group of disease burden.The results of the grey prediction model showed that by 2029,the age-standardized incidence rate and age-standardized prevalence rate would increase to 18.51/100 000 and 303.26/100 000,respectively,and the age-standardized DALY rate would decrease to 7.42/100 000. Conclusions:From 1990 to 2019,the age-standardized incidence rate and age-standardized prevalence rate of NRVHD in China showed an increasing trend,and the age-standardized DALY rate all showed a decreasing trend.The disease burden of NRVHD in China remains high.Women and the senior population are the main target groups needing special attention in China,and more targeted prevention and treatment strategies are needed for high-risk population.

Objective To explore the construction and practice of an intelligent prevention and treatment system for venous thromboembolism (VTE) in grassroots hospitals. Methods Based on relevant guidelines and expert consensuses on VTE prevention and treatment, domestic and foreign literature was reviewed. A research and development team composed of clinical experts in VTE prevention and treatment, medical and nursing quality management experts, and information engineers conducted investigations and research in surrounding grassroots hospitals. Through evidence-based research and surveys, the team identified relevant business needs, user needs, and functional requirements of grassroots hospitals, and finally formulated a detailed design plan. The main program of system was written in Java. The interface obtained data from the hospital's data platform through Webservice and view interfaces. To prevent issues of repeated data extraction when multiple applications perform time tasks to assess the same patient during later server usage and expansion, the XXL-JOB distributed task scheduling platform was adopted to handle VTE assessments by medical staff. Results After the clinical application of the intelligent VTE prevention and treatment system, the bleeding risk assessment rate increased from 26.20% at the initial system launch in January 2023 to 83.04% by the end of 2023. In January 2023, the implementation rates of mechanical prevention, pharmacological prevention, and combined prevention for medium-to-high-risk VTE patients were 21.39%, 16.39%, and 5.26%, respectively, which increased to 51.75%, 25.50%, and 25.65% in December 2023. Conclusion The VTE prevention and treatment software system developed by grassroots hospitals can improve development efficiency, enhance the clinical practicality of the system, reduce the workload of medical staff, promote standardization and normalization in VTE prevention and treatment, strengthen closed-loop management of medical quality for VTE as a single disease, and effectively improve the prevention and treatment capabilities and levels of VTE within hospitals.

Objective:To construct and validate a predictive model for the risk of excessive blood loss in pa-tients with ruptured tubal pregnancy,and to provide a basis and tool for the assessment of changes in the condi-tion of patients with ruptured tubal pregnancy.Methods:Clinical data of inpatients with ruptured tubal pregnancy from January 2014 to July 2021 were retrospectively analyzed,who underwent surgical treatment in the Depart-ment of Gynecology,Dongguan Maternal and Child Health Hospital.The pelvic blood volume was categorized into excessive blood loss and non-excessive blood loss groups based on whether the amount of pelvic blood was found to be≥750 ml intraoperatively.Factors influencing the occurrence of excessive blood loss were screened and modeled by univariate analysis,Lasso regression,and multi-factor Logistic stepwise regression.The area un-der the subject working characteristic curve(AUC)was used to evaluate the discrimination of the predictive mod-el,the model's consistency was evaluated by calibration curve and goodness-of-fit test,and the clinical utility of the model was evaluated and validated by the decision analysis curve.Finally,column line plots were drawn.Results:①A total of 386 patients with ruptured tubal pregnancy were included,of whom 124(32.12%)had blood loss≥750 ml.②The optimal predictors for predicting concomitant blood loss in patients with ruptured tubal preg-nancy were screened,including:days of abdominal pain,dizziness,pallor,fatigue,the maximum diameter of para-metrial mass,human chorionic gonadotropin(β-hCG),and hemoglobin(Hb)and the model and the column line graphswere constructed accordingly.③The prediction model AUC was 0.827(95%CI 0.781-0.873);the cut-off value was 0.391,at which point the specificity and sensitivity were 68.55%and 84.35%,respectively,and the AUC validated within the model by resampling was 0.804.Clinical decision curves showed that the threshold probability intervals for the maximum net benefit values ranged from 8.5%-97%,respectively.Conclusions:The constructed prediction model was validated to suggest good discriminatory efficacy and degree of consistency.As a tool,it has clinical application value in predicting the risk of hemorrhage in patients with ruptured tubal pregnan-cy.It can help to determine the occurrence of adverse events such as hemorrhagic shock at an early stage and improve the success rate of rescue treatment.