Objective To investigate the effects of dapagliflozin on inflammatory factors and prognosis in patients with type 2 diabetes mellitus (T2DM) and acute myocardial infarction (AMI). Methods In a randomized, double-blind trial, 146 patients with T2DM and AMI (within 7 days of onset) were divided into dapagliflozin (dapagliflozin 10 mg/d combining AMI standard therapy) and control (AMI standard therapy) groups, and were followed up for 12 months. Serum levels of interleukin-1β (IL-1β), IL-6, high-sensitivity C reactive protein (hs-CRP) at baseline, 1, 3, 6, and 12 months, and left ventricular ejection fraction (LVEF), brain natriuretic peptide (BNP), and major adverse cardiovascular events (MACE) rate at 12 months were compared between the two groups. Kaplan-Meier curves were used to analyze the cumulative incidences of MACE in the two groups. Results Three patients were withdrawn or dropped out. At 12 months, IL-1β, IL-6, and hs-CRP levels were significantly lower in dapagliflozin group (n＝71) than those in control group (n＝72, P＜0.01), approaching normal levels. Compared with the control group, LVEF was higher (P＜0.01), BNP was lower (P＜0.01), MACE incidence was lower (P＝0.047) in dapagliflozin group at 12 months. Generalized linear mixed models showed significant group-time interactions in IL-1β, IL-6, and hs-CRP (P＜0.001), and these factors declined faster in the dapagliflozin group. Kaplan-Meier curve showed the cumulative incidences of MACE and heart failure were lower in dapagliflozin group than those in non-dapagliflozin group (P＜0.05). Conclusions For patients with T2DM patients and AMI, dapagliflozin has good anti-inflammatory and cardioprotective effects.

Objective: To evaluate the causal effects and population heterogeneity of Guangzhou′s Voluntary Blood Donation Privilege Certificate Policy on blood donation behavior, and to provide empirical evidence for optimizing blood management policies. Methods: Using an interrupted time series (ITS) design, we analyzed 30 quarters of blood collection data from Guangzhou Blood Center (from July 2018 to December 2025). Taking the third quarter of 2021 as the intervention node, we constructed ordinary least squares (OLS) regression models incorporating level and trend effects, and conducted stratified analyses by gender, age group, previous donation frequency, and per-donation volume. Results: The tiered incentive policy demonstrated significant heterogeneous effects. Apheresis donations showed sustained growth, with 2 units of component blood exhibiting a significant trend effect (β=304.58, P<0.001); high-frequency donors (11+ times) demonstrated sustained growth trends in apheresis donations. For whole blood, immediate effects were significant for donors with 1-2 previous donations (β=4 537.55, P<0.001) and 3-10 previous donations (β=2 159.69, P<0.05); high-frequency donors (11-30 times) showed sustained growth trends (P<0.01). Stratified by per-donation volume, 400 mL whole blood demonstrated a significant immediate effect (β=4 391.01, P<0.1), while 200 mL whole blood showed a significant declining trend (β=-893.24, P<0.01). Conclusion: The tiered incentive policy effectively enhanced blood donation participation while maintaining the donors’ altruistic motivations. Young and middle-aged adults primarily drove apheresis donations. The policy demonstrated immediate incentive effects on low-frequency whole blood donors and long-term retention effects on high-frequency donors. Per-donation volume showed an "upward migration" trend, optimizing the blood collection structure. Differentiated outreach, conversion and retention strategies are recommended to further strengthen blood supply security.

Vascular cognitive impairment (VCI), caused by cerebrovascular dysfunction, severely impacts the quality of life in the elderly population, yet effective therapeutic approaches remain limited. Mitophagy, a selective mitochondrial quality-control mechanism, has emerged as a critical focus in neurological disease research. Accumulating evidence indicates that mitophagy modulates oxidative stress, neuroinflammation, and neuronal apoptosis. Key signaling pathways associated with mitophagy—including PINK1/Parkin, BNIP3/Nix, FUNDC1, PI3K/Akt/mTOR, and AMPK—have been identified as potential therapeutic targets for VCI. This review summarizes the mechanistic roles of mitophagy in VCI pathogenesis and explores emerging therapeutic strategies targeting these pathways, aiming to provide novel insights for clinical intervention and advance the development of effective treatments for VCI.

Objective To establish a method for simultaneous determination of four high-molecular-weight thiol derivatives (TDs) in workplace air by gas chromatography. Methods The four kinds of vapor-phase macromolecular TDs (1-pentanethiol, 1-hexanethiol, 1-benzyl mercaptan, and n-octanethiol) in the workplace air were collected using the GDH-1 air sampling tubes, desorbed with anhydrous ethanol, separated on a DB-FFAP capillary column, and determined by flame ionization detector. Results The quantitation range of the four TDs was 0.30-207.37 mg/L, with the correlation coefficients greater than 0.999 00. The minimum detection mass concentrations and minimum quantitation mass concentrations were 0.18-0.32 and 0.60-1.05 mg/m³, respectively (both calculated based on the 1.5 L sample and 3.0 mL desorption solvent). The mean desorption efficiencies ranged from 87.07% to 103.59%. The within-run and between-run relative standard deviations were 1.92%-8.22% and 1.89%-8.45%, respectively. The samples can be stored at room temperature or 4 ℃ for three days and up to 7 days at -18 ℃. Conclusion This method is suitable for the simultaneous determination of four vapor-phase TDs in workplace air.

Objective The data related to adverse drug reaction of trastuzumab deruxtecan(T-DXd)were mined to provide references for its clinical management and adverse event handling.Methods Based on the Food and Drug Administration Adverse Event Reporting System(FAERS)database,the data reported from the post-marketing period of T-DXd until the fourth quarter of 2024 were extracted.The proportion imbalance method,specifically the reporting odds ratio(ROR)method,was used to mine and analyze the data related to adverse events of T-DXd.Results A total of 13 134 cases of adverse events related to T-DXd were obtained from the FAERS database.Gastrointestinal disorders were the most common,with 2348 adverse reaction signals,accounting for 17.88％.The most frequent adverse reactions were nausea(n=809),interstitial lung disease(n=732),and fatigue(n=579).The one with the highest ROR value was Listeriosis gastroenteritis(ROR=1228.74).The highest number of deaths were from interstitial lung disease(226),pneumonitis(90),and nausea(67).Conclusion By mining data on real-world adverse drug reaction related to T-DXd,suggests that pulmonary function,cardiac function,complete blood count and other parameters should be closely monitored during treatment for early diagnosis and treatment of corresponding complications.

Per- and polyfluoroalkyl substances (PFAS) are a class of persistent organic pollutants widely present in the environment. They can enter the human body through multiple pathways such as air, water, and diet, and tend to bioaccumulate. In recent years, increasing attention has been paid to the potential impacts of PFAS exposure on male reproductive health. This review systematically summarizes the characteristics of PFAS exposure in men and its effects on semen quality. Epidemiological evidence indicates that PFAS exposure is significantly associated with reduced sperm concentration, motility, and normal morphologyrate. Mechanistic studies suggest that PFAS may induce male reproductive toxicity through various pathways, including germ cell cytotoxicity, dysfunction of Sertoli cells, endocrine disruption, oxidative stress, and epigenetic regulation. This review aims to integrate current evidence to support the assessment of male reproductive risks associated with PFAS exposure and to inform the development of preventive strategies.

Objective To analyze the genomic characteristics of Klebsiella pneumoniae carrying blaNDM-1 and Atlanta subterranean carry-ing blaIMP-4 isolated from the stool sample of the same patient and elucidate their resistance mechanisms.Methods The minimum in-hibitory concentrations(MIC)of the isolated strains were detected by the micro-broth dilution method.The NG-Test CARBA-5 was used to detect the phenotype of carbapenemases.The genomic characteristics of the strains were analyzed by the whole genome sequen-cing(WGS)and bioinformatics analysis.Results The isolated Klebsiella pneumoniae was resistant to most antibiotics.Atlanta subter-ranean was resistant to meropenem and ertapenem,but sensitive to imipenem.The two strains were susceptible to polymyxin,tigecy-cline,amikacin,ciprofloxacin,and aztreonam.The WGS analysis showed that Klebsiella pneumoniae belonged to ST1040 type and car-ried 8 resistance genes,including blaNDM-1,aac(6')-Ib-cr.v2,aadA16,aadA2,qnrS1,arr-3,sul1 and dfrA27,and 4 plasmid repli-cons such as lncR,lncU,lncFIA(Hl1)and lncFIB(K).Atlanta subterranean carried two resistance genes(blaIMP-4 and qnrS1)and 1 plasmid replicon(lncN).The analysis results of virulence factors showed that Klebsiella pneumoniae carried virulence factors such as fimbrium,capsule,and siderophore.Atlanta subterranean carried virulence factors such as fimbrium,flagella,lipopolysaccharides,and endotoxins.Conclusion The Atlanta subterranean producing blaIMP-4 enzyme and Klebsiella pneumoniae producing blaNDM-1 enzyme are isolated from the stool sample of the same patient,and their genomic characteristics are analyzed.The emergence of new carbapen-em-resistant strains poses a huge challenge to clinical treatment and infection prevention and control.The screening and detection of carbapenemase genes should be strengthened.

Objective To explore the efficacy of DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy for management of cancer pain and provide reference for its standardized clinical application.Methods and Results Recommendations were formulated based on literature review and expert group discussion,and consensus was reached following expert consultation.The consensus recommendations are comprehensive,covering the entire treatment procedures from preoperative assessment and preparation,surgical operation process,postoperative management and traditional Chinese medicine treatment to individualized treatment planning.The study results showed that the treatment plans combining traditional Chinese with Western medicine effectively alleviated cancer pain,reduced the use of opioid drugs,and significantly improved the quality of life and enhanced immune function of the patients.Postoperative follow-up suggested good treatment tolerance among the patients without serious complications.Conclusion The formulated consensus is comprehensive and can provide reference for clinicians to use DSA-guided intrathecal drug delivery system combined with Zi Wu Liu Zhu Acupoint Therapy.The combined treatment has a high clinical value with a good safety profile for management of cancer pain.

Objective:To investigate the dynamic changes of cytokine levels in patients with sepsis and to identify potential biomarkers for evaluating the prognosis of the disease.Methods:A total of 195 patients with sepsis hospitalized at the Department of Infectious Diseases and the Department of Critical Care Medicine of the First Affiliated Hospital of Soochow University from August 2022 to October 2024 were recruited, and 70 healthy individuals undergoing physical examinations were recruited as the healthy control group. The levels of 11 cytokines, including interferon γ (IFN-γ), interleukin (IL)-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, tumor necrosis factor α (TNF-α) and C-reactive protein (CRP) were compared between the sepsis patients and the healthy controls. Spearman correlation analysis was used to assess the correlation between cytokine levels and sequential organ failure assessment (SOFA) scores in sepsis patients. Receiver operating characteristic curves were plotted and the area under the curve (AUC) was calculated to evaluate the diagnostic value of cytokines for sepsis. Delong test was used to compare AUC. Based on the 28-day survival outcomes, the sepsis patients were categorized into non-survival group and survival group. The levels of the 11 cytokines in patients on the 1st, 3rd, 7th, 14th, 21st and 28th days after confirmed sepsis were dynamically monitored, and their change characteristics were analyzed. Mann-Whitney U test was used for statistical comparison. Results:The age of the 195 patients with sepsis was 68.0 (55.0, 76.0) years old, including 124 males (63.6%), 64 died and 131 survived.The levels of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-6, IL-8, IL-10, IL-12P70, IL-17A, TNF-α, CRP in the sepsis group were all higher than those in the healthy control group ( Z=-2.99, -5.42, -4.95, -4.09, -5.05, -11.30, -8.66, -8.23, -5.64, -4.75, -2.12 and -10.75, respectively, all P<0.05). The differences were statistical significance. The levels of IL-2 ( r=0.149, P=0.037), IL-6 ( r=0.223, P=0.002), IL-8 ( r=0.159, P=0.026), and IL-10 ( r=0.188, P=0.009) in patients with sepsis were positively correlated with SOFA scores. The AUC of CRP in diagnosing sepsis was 0.989 with the sensitivity of 97.4% and the specificity of 100.0%. The AUC of IL-6 in diagnosing sepsis was 0.953, with the sensitivity of 93.3% and the specificity of 97.1%, and the AUC of IFN-γ, IL-1β, IL-2, IL-4, IL-5, IL-8, IL-10, IL-12P70, IL-17A, and TNF-α were 0.620, 0.718, 0.699, 0.665, 0.703, 0.850, 0.836, 0.727, 0.691, and 0.574, respectively.The AUC of the 11 cytokines were all lower than that of CRP, and the differences were all statistically significant ( Z=2.34, 10.24, 8.03, 8.08, 10.64, 8.70, 5.91, 5.17, 8.91, 9.25 and 4.10, respectively, all P<0.05).During the dynamic monitoring, the IFN-γ and IL-1β levels in the non-survival group increased gradually. The IFN-γ levels on the 14th and 21st day in the non-survival group were higher than those in the survival group ( Z=0.53 and 0.08, respectively, both P<0.05), and IL-1β levels on the 14th, 21st, and 28th days were also higher than those in the survival group ( Z=0.03, 0.26 and 0.31, respectively, all P<0.05). IL-6 and IL-8 levels reached their peaks on the 14th day, which were significantly higher than those in the survival group ( Z=0.01 and 0.02, respectively, both P<0.05), and then decreased, and the differences were all statistically significant. Conclusions:The levels of IFN-γ and IL-1β in the non-survival sepsis patients show a gradually increasing trend. The dynamic changes of IL-6 have certain significance for the prediction of disease severity and prognosis evaluation in sepsis.

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