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.

In recent years,the global public health sector has faced significant challenges due to the continuous e-mergence of novel infectious disease outbreaks,including Avian influenza virus infection,Ebola virus disease,and COVID-19.These epidemics not only threaten human health but also severely impact socioeconomic development worldwide.In response,innovative approaches in prevention and control of infectious diseases have emerged,dem-onstrating substantial value in practical applications in epidemic prevention and control.These methods play a cru-cial role in key areas such as dynamic monitoring of epidemic,optimization of prevention and control strategies as well as prediction of epidemic transmission trend,which remarkably enhance the precise prevention and control and boost the capability of rapid response.However,to fully realize their potentials,further integration of these innovative approaches with epidemiological theory is essential to develop a more robust methodological framework that can better adapt to the complexity of infectious diseases prevention and control and the dynamic change.

In recent years,the global public health sector has faced significant challenges due to the continuous e-mergence of novel infectious disease outbreaks,including Avian influenza virus infection,Ebola virus disease,and COVID-19.These epidemics not only threaten human health but also severely impact socioeconomic development worldwide.In response,innovative approaches in prevention and control of infectious diseases have emerged,dem-onstrating substantial value in practical applications in epidemic prevention and control.These methods play a cru-cial role in key areas such as dynamic monitoring of epidemic,optimization of prevention and control strategies as well as prediction of epidemic transmission trend,which remarkably enhance the precise prevention and control and boost the capability of rapid response.However,to fully realize their potentials,further integration of these innovative approaches with epidemiological theory is essential to develop a more robust methodological framework that can better adapt to the complexity of infectious diseases prevention and control and the dynamic change.

177Lu-prostate specific membrane antigen(PSMA)radio-ligand therapy has been approved abroad for advanced prostate cancer and has been in several clinical trials in China.Based on domestic clinical practice and experimental data and referred to international experience and viewpoints,the expert group forms a consensus on the clinical application of 177Lu-PSMA radio-ligand therapy in prostate cancer to guide clinical practice.

The clinical application of immune checkpoint inhibitors (ICIs) has significantly improved the prognosis of hepatocellular carcinoma (HCC) patients. With the widespread applica-tion of ICIs in HCC, the management of immune-related adverse events (irAE) gained more and more attention. However, the complicated disease characteristics and various combination therapies in HCC throw out challenges to irAE management. Therefore, the editorial board of the 'Chinese expert consensus on the management of immune-related adverse events of hepatocellular carcinoma treated with immune checkpoint inhibitors (2021 edition)' organizes multidisciplinary experts to discuss and formulate this consensus. The consensus focuses on issues related to HCC irAE manage-ment, and puts forward suggestions, in order to improve standardized and safety clinical medication, so as to maximize the benefits of immunotherapy for patients.

Objective:The aim of this study was to study the characteristics of neoplasm invasion type in ovary of two orthotopic models established with human epithelial ovarian cancer solid tumor tissue slices and human ovarian carcinoma cell line OVCAR-3 in nude mice and human epithelial ovarian cancer.Methods:Tumor tissues and cell line OVCAR-3 of human epithelial ovarian cancer were grown in subcutaneous tissue and the subcutaneous tumor source was fetched and inoculated in ovarian capsule of nude mice to establish the orthotopic implantation model. The neoplasm invasion type in the two kinds of models were observed. The neoplasm invasion types were also analyzed by pathological examination in 54 cases of International Federation of Gynecology and Obstetrics (FIGO) stageⅠ-Ⅱepithelial ovarian cancer.Results:Three neoplasm invasion types were found as follows: type of pseudocapsule, type of pseudocapsule invasion, type of pseudocapsule penetration. Pseudocapsule rate in the solid tumor slices group (18.2%) were lower than those in the cell line group (42.3%) ( P<0.05), while the pseudocapsule penetration rate in the solid tumor slices (50.0%) were higher than those in the cell line group (23.1%) ( P<0.05). No difference was found of pseudocapsule invasion rate between two groups ( P>0.05). Neoplasm invasion type in ovary changed with tumor planting time. High proportion of pseudocapsule type was found at the beginning of tumor planting, and the pseudocapsule penetration rate raised with tumor planting time increased. High proportion of pseudocapsule type was also found in patients with FIGO stageⅠepithelial ovarian cancer, and pseudocapsule penetration rate increased in those with FIGO stageⅡ. No difference in neoplasm invasion type was found between two kinds of pathological types ( P>0.05). Conclusions:There are differences between the two kinds of orthotopic models established with human epithelial ovarian cancer solid tumor tissue slices and human ovarian carcinoma cell line OVCAR-3. Compared to the solid tumor slices model, the cell line model is more stable for the follow-up study. The proportion of three neoplasm invasion types in ovary were more balanced in 8 weeks after tumor planting, and 8 weeks after tumor planting is the best start time for the follow-up experiment.