Background Meteorological factors are among the key extrinsic triggers for the onset and exacerbation of cardiovascular and cerebrovascular diseases (CVD). Against the backdrop of sustained global warming, elucidating the impact of ambient temperature and atmospheric pressure on CVD, especially on pre-hospital CVD emergent events, has become imperative for evidence-based prevention and emergency preparedness. Objective To quantify the temporal trends of daily mean temperature and atmospheric pressure and their associations with pre-hospital CVD emergent events in Yantai, and to explore effect modification by demographic subgroups and geographic areas, thereby providing an empirical basis for the rational allocation of emergency medical resources. Methods Pre-hospital CVD emergency data from January 1, 2016 to December 31, 2022 were selected from the Yantai 120 Emergency Medical Command System. Synchronous meteorological factors and environmental pollutant data were obtained from the websites of the National Oceanic and Atmospheric Administration and the National Centers for Environmental Information of the United States. Time-series analysis combined with distributed lag non-linear model was used to analyze the association between daily temperature, atmospheric pressure, and pre-hospital CVD emergencies. Average annual percentage changes (AAPC) were calculated using Joinpoint (version 5.2.0.0) to reflect temporal trends. Spearman correlation analysis was employed to screen variables with low collinearity for inclusion in the multi-pollutant adjusted models. Results From 2016 to 2022, a total of 268275 pre-hospital CVD emergency cases were recorded in Yantai City, showing an increasing annual trend (AAPC=7.16%, P=0.002). Emergency volume, daily temperature, atmospheric pressure, and PM₁₀ displayed marked seasonal patterns, with summer bottoms and winter peaks for emergencies, daily temperature higher in summer and lower in winter, and the inverse for atmospheric pressure. Correlation analysis showed that both daily temperature and atmospheric pressure were positively correlated with O₃, with correlation coefficients of 0.745 and 0.723, respectively; negatively correlated with PM_2.5, with correlation coefficients of −0.246 and −0.235, respectively; and negatively correlated with PM₁₀, with correlation coefficients of −0.241 and −0.229, respectively (P < 0.05). A U-shaped correlation was revealed between daily temperature and pre-hospital CVD emergency risk. Using 24 °C as the reference, risk was elevated at both low and high daily temperatures, with the strongest cold effect at –11 ℃ (RR=1.53, 95%CI: 1.35, 1.73) and strongest heat effect at 30 ℃ (RR=1.06, 95%CI: 1.01, 1.11); cold effects were prolonged (lag0–14d) compared to heat effects. Atmospheric pressure exhibited a positive association with emergencies; using a median of 1012.2 hPa as the reference, the maximum risk occurred at 1037 hPa (RR=1.25, 95%CI: 1.03, 1.52), with a 0–5 d lag. In the subgroup analysis, the impact of low temperature was more pronounced among females (RR_{−9 ℃}=1.66), people over 60 years (RR_{−9 ℃}=1.91), and rural residents (RR_{−9 ℃}=1.76). High atmospheric pressure significantly increased the risk of pre-hospital CVD emergency among females (RR_{1035 hPa}=1.54), people under 18 years (RR_{1035 hPa}=3.62), and rural residents (RR_{1035 hPa}=1.46). The sensitivity analysis results indicated that, after excluding the impact of pandemic and the degrees of freedom for time variations, the effects of daily average temperature and atmospheric pressure on pre-hospital CVD emergency volume were consistent with the primary analysis findings. Conclusion Both non-optimal temperature and atmospheric pressure significantly increase the pre-hospital CVD emergency volume; therefore, emergency medical services should develop targeted response protocols, optimize resource allocation, and intensify public health education to mitigate the pre-hospital burden attributable to temperature and pressure fluctuations.

Objective To analyze the spatiotemporal distribution characteristics of and trends in the disease burden of dengue fever in China from 2005 to 2024, so as to provide insights into formulation of dengue fever control strategies. Methods Data pertaining to dengue fever cases in China from 2005 to 2024 were retrieved from the Infectious Disease Reporting Information System of Chinese Center for Disease Control and Prevention, and city population, gross domestic product (GDP), GDP per capita, and consumer price index in China were captured from the China Statistical Yearbook, National Bureau of Statistics of China, the China City Statistical Yearbook, and bureaus of statistics in each city. The disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) due to dengue fever were calculated in China from 2005 to 2024. The direct and indirect economic burdens of dengue fever were estimated to calculate the total economic burden. The trends in the disease burden of dengue fever were estimated in China from 2005 to 2024 using a Joinpoint regression model with the software Joinpoint 4.9.0.0, and the average annual percent change (AAPC) and its 95% confidence interval (CI) were calculated. In addition, the DALYs rate and economic burden of dengue fever in China were subjected to global and local spatial autocorrelation analyses using the software ArcGIS 10.8. Results The gross DALYs due to dengue fever were 5 558 person-years in China from 2005 to 2024, and the DALYs of dengue fever increased from 36 person-years in 2005 to 899 person-years in 2024, with an increase of 23.97 folds. The average annual DALYs rate of dengue fever was 0.02 person-years/10⁵ in China during the 20-year study period from 2005 to 2024, and the DALYs rate peaked in 2014 (0.13 person-years/10⁵) and reduced during the COVID-19 pandemic from 2020 to 2022. YLDs were the main contributor of DALYs due to dengue fever in China from 2005 to 2024, with a total of 5 354 person-years, accounting for 96.33% (5 354 person-years/5 558 person-years) of the gross DALYs. The gross DALYs of dengue fever were 2 982 person-years among men (53.66%) and 2 575 person-years among women (46.34%) in China from 2005 to 2024, and high DALYs of dengue fever were measured among residents at ages of 15 to 30 years (1 639 person-years), 30 to 45 years (1 857 person-years), and 45 to 60 years (1 204 person-years), respectively, accounting for 84.56% (4 700 person-years/5 558 person-years) of total DALYs due to dengue fever in China. The total economic burden of dengue fever was estimated to be 612 million Yuan in China from 2005 to 2024, with an average annual economic burden of 30.584 million Yuan. The economic burden of dengue fever increased from 196 000 Yuan in 2005 to 121 million Yuan in 2024 in China, with an increase of 616.35 folds, and the per capita economic burden increased from 3 322.21 Yuan in 2005 to 4 940.01 Yuan in 2024, with an increase of 48.70%. Dengue fever cases were reported in 274 cities (counties) across 31 provinces (autonomous regions, municipalities) in China from 2005 to 2024, with relatively higher DALYs in Guangdong Province and Yunnan Province. Spatial autocorrelation analysis revealed that the disease burden of dengue fever appeared positive aggregation in Chinese cities (counties) from 2005 to 2024 (global Moran’s I = 0.045, Z = 2.24, P < 0.05), with high-high clusters mainly concentrated in the Pearl River Delta region in Guangdong Province and Xishuangbanna Dai Autonomous Prefecture and Pu’er City in Yunnan Province, and the total economic burden (global Moran’s I = 0.032, Z = 9.55, P < 0.001), per capita economic burden (global Moran’s I = 0.208, Z = 27.34, P < 0.001), and the proportion of total economic burdens in GDP in 2024 (global Moran’s I = 0.017, Z = 5.91, P < 0.001) all presented positive aggregation, with relatively higher total economic burdens mainly concentrated in Guangdong Province and Yunnan Province. Joinpoint regression analysis showed that the gross DALYs rates of dengue fever appeared an overall tendency towards a rise in China from 2005 to 2024 (AAPC = 16.24%, P = 0.029), and the DALYs rate presented an overall tendency towards a rise among both men (AAPC = 14.75%, P = 0.028) and women (AAPC = 14.93%, P = 0.037) during the study period. The per capita direct economic burden appeared an overall tendency towards a rise among dengue fever patients in China from 2005 to 2024 (AAPC = 2.16%, P = 0.012); however, there was no significant difference in the trends in the per capita indirect economic burden (AAPC = 0.46%, P = 0.470). In addition, the DALYs rate of dengue fever appeared a tendency towards a rise in 84.67% (232/274) of cities (counties) in China from 2005 to 2024, and the per capita economic burden appeared a tendency towards a rise in 85.40% (234/274) of cities (counties), while the DALYs rate and per capita economic burden of dengue fever appeared a tendency towards a rise in 77.01% (211/274) of cities (counties). Conclusions The disease burden of dengue fever significantly increased in China from 2005 to 2024. It is recommended to reinforce integrated dengue fever control in high-risk areas and among high-risk populations, and to improve the surveillance of imported dengue fever cases and vector control.

Airway management is a critical component of critical patient care.Although traditional methods of airway management are effective to some extent,they still face many challenges,such as difficult airways,delayed endotracheal intubation,endotracheal tube migration,unpredictable airway complications and failure to mechanical ventilation weaning.Artificial intelligence(AI),a technological tool with advanced algorithms,offers important innovations to improve the safety and efficiency of airway management with its multimodal data integration and real-time decision support capabilities.For example,AI can be used in areas such as real-time monitoring of patients′ vital signs,dynamic adjustment of ventilator parameters,monitoring and assessment of airway complications,and assisted robotic tracheal intubation.In addition,AI is able to build predictive models based on big data to help reduce the risk of injury in mechanically ventilated patients and assist clinicians in making timely decisions.This paper reviews the research progress of AI in airway management and discusses issues of privacy and security,ethics,model performance and interpretability that may be faced during the use of AI,and looks forward to a more active role for AI in airway management in future.

Objective:To investigate the anti-inflammatory action and mechanism of action of rosmarinic acid(RA),a Chi-nese monomeric herbal compound based on the NF-κB/NLRP3 pathway in a rat model of acute gouty arthritis(AGA).Methods:Forty healthy male SD rats were randomly assigned to five groups,and the model and drug administration groups were established a rat model of AGA by injecting a suspension of sodium urate crystals(MSU)into the joint cavity of the right paw of the rats.The degree of ankle joint swelling was measured using vernier calipers and stained with hematoxylin-eosin(HE).The inflammatory infiltration of the ankle joint and chondrocyte shedding was observed by staining with Safranine O-fast green(SOFG)and Mankin's score.The levels of IL-6,IL-1β and TNF-α in the right ankle joint of rats were determined by ELISA and the expression of NF-κB/NLRP3 pathway-associated proteins in the ankle joint were measured by Western blot.Results:Injection of MSU suspension into the ankle successfully induced AGA in rats.Compared with control group,the rats in model group showed significantly increased ankle swelling(P<0.01),greater in-flammatory infiltration,significant chondrocyte detachment,significantly increased secretion of IL-1β,IL-6 and TNF-α(P<0.01)and increased expressions of NF-κB/NLRP3 pathway-related proteins.Compared with model group,RA showed greater anti-inflamma-tory effects,dose-dependently inhibiting the development of ankle swelling in rats(P<0.01,P<0.001)and inhibited inflammatory cy-tokine infiltration.RA inhibited the secretion of inflammatory cytokines IL-6,IL-1β,TNF-α(P<0.01)and inhibited the expressions of proteins associated with the NF-κB/NLRP3 pathway(P<0.01).Conclusion:RA shows potent anti-inflammatory effects in a mouse model of AGA,and the mechanism is associated with regulation of the NF-κB/NLRP3 pathway.

Purpose To investigate the expression of semaphorin 5 A(SEMA5A)and programmed death ligand-1(PD-L1)and their clinicopathological significance in gastric cancer.Methods Clinical data of 41 cases of gastric cancer tissues and paired adjacent tissues were collected.Immunohistochemical staining and RT-qPCR were used to de-tect the expression levels of SEMA5A and PD-L1,and analysed the correlation between SEMA5A and PD-L1 and clini-copathological features.In addition,we used lentivirus to construct SEMA5A stable low-expression cell lines.RT-qPCR and Western blot were used to analyse the correlation between the expression of SEMA5A and PD-L1 in gastric cancer tissues.Results The high expression rate of SEMA5A was 65.9％(27/41)in gastric cancer tissues and 39.0％(16/41)in paracancerous tissues,respectively.The positive rates of PD-L1 were 58.5％(24/41)and 14.6％(6/41),respectively.RT-qPCR showed that the relative expression levels of SEMA5A mRNA in gastric cancer and paracancerous tissues were 1.30±0.50 and 0.81±0.48,respectively,while the relative expression levels of PD-L1 mRNA were 0.70±0.42 and 0.12±0.09,respectively.SEMA5A expression was correlated with histological typ-ing of gastric cancer and lymph node metastasis(P＜0.05).PD-L1 expression was correlated with tumour size,T stage,and pathological stage of gastric cancer(P＜0.05).Pearson correlation analysis showed a positive correlation between the expression of SEMA5A and PD-L1 mRNA in gastric cancer tissues,and spearman correlation analysis showed that there was no correlation between the expression of the two in paracancerous tissues.Knockdown of SE-MA5A gene in human gastric adenocarcinoma cell lines resulted in down-regulation of PD-L1 expression.Conclusion Both SEMA5A and PD-L1 are highly expressed in gastric cancer tissues,and there is a correlation between the ex-pressions of SEMA5A and PD-L1.They can serve as potential molecular markers for prognostic evaluation and combi-nation therapy of gastric cancer.

This study investigated the types and distribution of rodents,and the infection status of eight pathogens in the high-altitude areas of western Sichuan,to provide a basis for control of rodent-borne diseases and pathogen surveillance in rodents in the area.From August to November of 2023,rodents were captured through the night method in high-altitude areas of western Sichuan.Nucleic acids were collected from the rodents'livers and lungs,and eight important pathogens were detected:Dabie bandavirus,Han-tavirus,Bartonella,Francisella tularensis,Anaplasma phagocytophilum,Rickettsia mooseri,Orientia tsutsugamushi,and Leptospira interrogans.The chi-square test was used to compare the composition ratios of rodent species and the difference in pathogen positivity rates among groups.A total of 114 rodents of nine species were captured.The dominant species in this area were Apodemus agrarius(22.81%),Apodemus chevrieri(18.42%),Niviventer confucianus(17.54%),Apodemus latronum(16.67%),and Apodemus peninsu-lae(13.16%).Other rodent species included Rattus nitidus(4.39%),Neodon irene(4.39%),Chodsigoa hypsibia(1.75%),and Nivi-venter excelsior(0.88%).Statistically significant differences in rodent species composition were observed among regions,altitudes,and habitats(χ2Region=112.358,P<0.05;χ2Altitude=96.843,P<0.05;χ2Habitat=48.842,P<0.05).The liver and lung pathogen results showed that the positivity rate of Bartonella was highest(29/114),whereas those of the other seven pathogens were 0%-4.39%.Five rodents were co-infected with two or more pathogens,and the composite positivity rate was 4.36%(5/114).Statistically significant differences in the positivity rates were observed for Leptospira interrogans among species(χ2=6.568,P=0.028)and Anaplasma phagocytophilum among habitats(χ2=7.596,P=0.027);however,no significant differences in the positivity rates of other pathogens were found among rodent species,regions,altitudes,habitats,and sexes(P>0.05).Thus,rodent species were abundant in the high-altitude areas of western Sichuan and carried a variety of pathogens.Multiple pathogens showed compound infections,among which the positivity rate of Bartonella was relatively high.The total infection rate of pathogens in living areas was relatively high,and the risk of pathogenesis to the population is greater.Therefore,rodent control and disease monitoring efforts should be strengthened.

Background and Aims:Early-onset extensive emphysematous pancreatitis(EP)is a rare but highly lethal subtype of infected pancreatic necrosis(IPN),characterized by abrupt onset and rapid deterioration.This study aimed to investigate its clinical characteristics,microbiological spectrum,treatment approaches,and outcomes to provide evidence for early identification and timely intervention.Methods:A retrospective analysis was performed on 305 IPN patients treated at Xiangya Hospital,Central South University,from January 2010 to October 2023.Eight patients who developed gas accumulation involving≥50%of pancreatic or peripancreatic necrosis within two weeks of onset were defined as early-onset extensive EP.Their clinical data were compared with those of ordinary IPN patients.Results:Early-onset extensive EP accounted for 2.6%of all IPN cases.The early-onset extensive EP group had significantly higher mortality and multiple organ failure rates compared with the ordinary IPN group(75.0%vs.24.6%and 75.0%vs.34.7%,respectively;both P<0.05).A total of 15 microbial isolates were identified from early-onset extensive EP patients,predominantly Klebsiella pneumoniae(62.5%)and Escherichia coli(37.5%).The infection rate of carbapenem-resistant Enterobacteriaceae(CRE)was markedly higher in the EP group than in the ordinary IPN group(75.0%vs.31.1%,P=0.015).Most patients were treated using a step-up approach based on percutaneous catheter drainage,with no significant difference in treatment strategy between the two groups(P=0.625).Conclusion:Early-onset extensive EP represents a rare and fulminant subtype of IPN with extremely poor outcomes.Klebsiella pneumoniae and CRE are the predominant pathogens.Early radiological evaluation and timely intervention are crucial for improving prognosis in these patients.

Airway management is a critical component of critical patient care.Although traditional methods of airway management are effective to some extent,they still face many challenges,such as difficult airways,delayed endotracheal intubation,endotracheal tube migration,unpredictable airway complications and failure to mechanical ventilation weaning.Artificial intelligence(AI),a technological tool with advanced algorithms,offers important innovations to improve the safety and efficiency of airway management with its multimodal data integration and real-time decision support capabilities.For example,AI can be used in areas such as real-time monitoring of patients′ vital signs,dynamic adjustment of ventilator parameters,monitoring and assessment of airway complications,and assisted robotic tracheal intubation.In addition,AI is able to build predictive models based on big data to help reduce the risk of injury in mechanically ventilated patients and assist clinicians in making timely decisions.This paper reviews the research progress of AI in airway management and discusses issues of privacy and security,ethics,model performance and interpretability that may be faced during the use of AI,and looks forward to a more active role for AI in airway management in future.

Objective To explore the functions of β-glucan-induced extracellular vesicles(EVs)released from J774A.1 cells.Methods EVs were extracted from the culture supernatant of J774A.1 cells,which were cultured with or without β-glucan,using differential centrifugation.The phenotype of extracellular vesicles was identified by transmission electron microscopy(TEM),nano-particle tracking analysis(NTA)and Western blotting(WB).The peritoneal macrophages(PMs)were harvested from C57BL/6J mice,and incubated with the control EVs(C-EVs)and theβ-glucan-induced EVs(G-EVs).Total RNA was extracted from the PMs and reversely transcribed to cDNA.The expression levels of the macrophage polarization-related genes were detected through real-time fluorescence quantitative PCR(qRT-PCR).Meanwhile,the culture supernatant of the PMs was collected and assayed by enzyme-linked immunosorbent assay(ELISA)to detect the expression levels of proinflammatory cytokines tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6).Results EVs of the control(C-EVs)and those from the β-glucan-induced(G-EVs)were isolated from J774A.1 cell culture medium.The results of TEM analysis showed that EVs had a membrane wrapped structure and the particle diameters ranged from 100 to 1000 nm.The NTA results showed that the average particle sizes were 162.4 and 175.6 nm respectively.The results of WB assay showed the expressions of characterized marker molecules such as CD81,CD9,CD63 and TSG101 were detected.qRT-PCR results showed that the expression levels of M1 polarization related genes such as Tnfa and inos were significantly increased in PM cells of the C-EVs treatment group,but those in the G-EVs treatment group were significantly lower than in the C-EVs treatment group.Meanwhile,the expression levels of M2 polarization indicators Cd206 and Arg-1 in the C-EVs treatment group were significantly decreased,while those in the G-EVs treatment group were significantly higher than those in C-EVs treatment group.Accordingly,the results of ELISA showed that the expression levels of TNF-α and IL-6 in the conditioned medium of the C-EVs treatment group were significantly increased,while those in the G-EVs treatment group were significantly lower than in the C-EVs treatment group.Conclusion Compared with the natural EVs from J774A.1 cells,the ability of β-glucan-induced EVs to drive M1 polarization of macrophages isdramatically compromised,with much fewer proinflammatory cytokines released,suggesting that β-glucan might contribute to immune regulation through EVs.

Background and Aims:Early-onset extensive emphysematous pancreatitis(EP)is a rare but highly lethal subtype of infected pancreatic necrosis(IPN),characterized by abrupt onset and rapid deterioration.This study aimed to investigate its clinical characteristics,microbiological spectrum,treatment approaches,and outcomes to provide evidence for early identification and timely intervention.Methods:A retrospective analysis was performed on 305 IPN patients treated at Xiangya Hospital,Central South University,from January 2010 to October 2023.Eight patients who developed gas accumulation involving≥50%of pancreatic or peripancreatic necrosis within two weeks of onset were defined as early-onset extensive EP.Their clinical data were compared with those of ordinary IPN patients.Results:Early-onset extensive EP accounted for 2.6%of all IPN cases.The early-onset extensive EP group had significantly higher mortality and multiple organ failure rates compared with the ordinary IPN group(75.0%vs.24.6%and 75.0%vs.34.7%,respectively;both P<0.05).A total of 15 microbial isolates were identified from early-onset extensive EP patients,predominantly Klebsiella pneumoniae(62.5%)and Escherichia coli(37.5%).The infection rate of carbapenem-resistant Enterobacteriaceae(CRE)was markedly higher in the EP group than in the ordinary IPN group(75.0%vs.31.1%,P=0.015).Most patients were treated using a step-up approach based on percutaneous catheter drainage,with no significant difference in treatment strategy between the two groups(P=0.625).Conclusion:Early-onset extensive EP represents a rare and fulminant subtype of IPN with extremely poor outcomes.Klebsiella pneumoniae and CRE are the predominant pathogens.Early radiological evaluation and timely intervention are crucial for improving prognosis in these patients.