Objective To explore the current situation and experience of the development of multi-hospital areas in foreign medical institutions,and to analyze its enlightenment to the construction of"one hospital with multiple campuses"in public hospitals in China.Methods Through the combing of relevant literature,it systematically analyzes the development status of multi-hospital construction of medical institutions in typical countries such as the United States,the United Kingdom,and Germany,summarizes the relevant experience of different countries,and analyzes the current situation of the construction of"one hospital with multiple campuses"in China's public hospitals.Results At present,the orderly development of multiple hospitals of foreign medical institutions mainly depends on the homogenization of medical care,the scientific management of human resources and the improvement of information construction.China can learn from its experience and technical means to build a development pattern of"one hospital with multiple campuses"suitable for China's national conditions.Conclusion In the future,the construction of"one hospital with multiple campuses"in China's public hospitals should focus on"rationalization of human resource allocation,homogenization of medical service quality,and intelligent information system construction",improve"human resource allocation",establish and improve"information sharing mechanism",differentiate the layout of"hospital functions",and strengthen"quality supervision and patient feedback",aiming to improve the construction effect of"one hospital with multiple campuses"in China's public hospitals.

Objective:To investigate the prognostic value of 18F-FDG PET/CT-based habitat radiomics combined with stacking ensemble learning model in overall survival (OS) of patients with hepatocellular carcinoma (HCC). Methods:A total of 136 HCC patients (114 males, 22 females, age (55.3±10.4) years) who underwent 18F-FDG PET/CT before treatment between January 2018 and January 2023 were retrospectively analyzed. Eighty-five cases from Tianjin First Central Hospital and 51 cases from Tianjin Medical University Cancer Institute and Hospital were used as a training cohort and an external validation cohort, respectively. The tumor volume of interest (VOI) was delineated on PET and CT images, and a total of 4 habitats were segmented by using the Otsu algorithm, including PET high ∩ CT low, PET low ∩ CT low, PET high ∩ CT high, and PET low ∩ CT high. After the feature selection, a total of 36 stacking ensemble learning models were established, and the optimal model was selected based on the calculated concordance index (C-index). Moreover, a combined model was developed by integrating the optimal model with clinical information. The predictive efficacy of those models was assessed by time-dependent ROC curves. Results:The model based on PET high ∩ CT high habitat radiomics features with multilayer perceptron (MLP) classifier had the highest C-index (0.770) in the external validation cohort, and it was regarded as the optimal radiomics model. The combined model incorporating this model with clinical information achieved an improved C-index of 0.815 in the external validation cohort. The combined model outperformed the other models for OS prediction, with a time-dependent AUC of 0.919, 0.900, and 0.862 in predicting the 1-year, 2-year, and 3-year OS, respectively. Conclusions:18F-FDG PET/CT-based habitat analysis outperforms traditional radiomics in OS prediction for HCC patients. By integrating the optimal habitat model with the clinical model, the combined model is able to improve the predictive efficacy.

Proteus mirabilis is a significant foodborne pathogen that frequently causes diseases in humans and animals.Understanding the cytokine profile alterations following gastrointestinal in-fection with P.mirabilis is crucial for developing effective treatment strategies.This study em-ployed an intragastric infection model in mice to observe clinical symptoms and pathological chan-ges.Blood samples were collected at various time points post-infection,and the concentrations of 21 cytokines in the serum of both infected and control mice were quantitatively analyzed using the Bio-Plex suspension array system.The results of the infection experiment indicated that gastroin-testinal infection with P.mirabilis in mice led to splenic hemorrhage and significant splenomegaly.A notable difference in spleen index between the infected and control groups was observed at 24 hours post-infection(P=0.001 688),with the greatest difference occurring at 96 hours post-infec-tion(P=0.000 074).Cytokine analysis revealed significant elevations in IL-2,IL-17A,KC,Eotax-in,MCP-1,RANTES,MIP-1α,MIP-1β,IFN-γ,G-CSF,and IL-10 levels in the infected group.A-mong these,the pro-inflammatory cytokines IL-17A and G-CSF exhibited the most substantial changes,positively correlating with the splenomegaly,and peaking at 96 hours post-infection,with concentrations of(104.74±3.91)and(5 184.08±280.22)ng/L,respectively,which were 26.79 and 36.25 times higher than those in the control group.These findings indicate that IL-17A and G-CSF play significant roles in the pro-inflammatory response following gastrointestinal infection with P.mirabilis.

Objective To observe the value of PET/CT radiomics for predicting Ki-67 expression level of non-small cell lung carcinoma(NSCLC).Methods 18F-FDG PET/CT data of 139 NSCLC patients were retrospectively analyzed.The patients were divided into high-expression group(≥40%,n=75)and low-expression group(＜40%,n=64)according to Ki-67 expression level of NSCLC.CT,PET and PET/CT data were divided into training set and test set at a ratio of 7∶3 and make the distribution of Ki-67 expression levels balanced between sets,respectively.CT,PET and PET/CT radiomics features of NSCLC were extracted,and the optimal radiomics features were screened,then random forest(RF),categorical boosting(CatBoost)and extreme gradient boosting(XGBoost)algorithms were used to construct models,respectively.Receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to screen the radiomics model with the highest efficacy for predicting Ki-67 expression level of NSCLC.Results RF models had the highest performance among radiomics models constructed based on CT,PET and PET/CT.The efficacy of RFCT,RFPET and RFPET/CT models for predicting Ki-67 expression level of NSCLC in test set increased sequentially,with AUC of 0.830,0.870 and 0.940,respectively(all P＜0.05),and RFPET/CT was the best radiomics model.Conclusion PET/CT radiomics could be used to effectively predict Ki-67 expression level of NSCLC,and RFPET/CT model had the best performance.

Objective To observe the value of PET/CT radiomics for predicting Ki-67 expression level of non-small cell lung carcinoma(NSCLC).Methods 18F-FDG PET/CT data of 139 NSCLC patients were retrospectively analyzed.The patients were divided into high-expression group(≥40%,n=75)and low-expression group(＜40%,n=64)according to Ki-67 expression level of NSCLC.CT,PET and PET/CT data were divided into training set and test set at a ratio of 7∶3 and make the distribution of Ki-67 expression levels balanced between sets,respectively.CT,PET and PET/CT radiomics features of NSCLC were extracted,and the optimal radiomics features were screened,then random forest(RF),categorical boosting(CatBoost)and extreme gradient boosting(XGBoost)algorithms were used to construct models,respectively.Receiver operating characteristic curve was plotted,and the area under the curve(AUC)was calculated to screen the radiomics model with the highest efficacy for predicting Ki-67 expression level of NSCLC.Results RF models had the highest performance among radiomics models constructed based on CT,PET and PET/CT.The efficacy of RFCT,RFPET and RFPET/CT models for predicting Ki-67 expression level of NSCLC in test set increased sequentially,with AUC of 0.830,0.870 and 0.940,respectively(all P＜0.05),and RFPET/CT was the best radiomics model.Conclusion PET/CT radiomics could be used to effectively predict Ki-67 expression level of NSCLC,and RFPET/CT model had the best performance.

Objective To explore the current situation and experience of the development of multi-hospital areas in foreign medical institutions,and to analyze its enlightenment to the construction of"one hospital with multiple campuses"in public hospitals in China.Methods Through the combing of relevant literature,it systematically analyzes the development status of multi-hospital construction of medical institutions in typical countries such as the United States,the United Kingdom,and Germany,summarizes the relevant experience of different countries,and analyzes the current situation of the construction of"one hospital with multiple campuses"in China's public hospitals.Results At present,the orderly development of multiple hospitals of foreign medical institutions mainly depends on the homogenization of medical care,the scientific management of human resources and the improvement of information construction.China can learn from its experience and technical means to build a development pattern of"one hospital with multiple campuses"suitable for China's national conditions.Conclusion In the future,the construction of"one hospital with multiple campuses"in China's public hospitals should focus on"rationalization of human resource allocation,homogenization of medical service quality,and intelligent information system construction",improve"human resource allocation",establish and improve"information sharing mechanism",differentiate the layout of"hospital functions",and strengthen"quality supervision and patient feedback",aiming to improve the construction effect of"one hospital with multiple campuses"in China's public hospitals.

Proteus mirabilis is a significant foodborne pathogen that frequently causes diseases in humans and animals.Understanding the cytokine profile alterations following gastrointestinal in-fection with P.mirabilis is crucial for developing effective treatment strategies.This study em-ployed an intragastric infection model in mice to observe clinical symptoms and pathological chan-ges.Blood samples were collected at various time points post-infection,and the concentrations of 21 cytokines in the serum of both infected and control mice were quantitatively analyzed using the Bio-Plex suspension array system.The results of the infection experiment indicated that gastroin-testinal infection with P.mirabilis in mice led to splenic hemorrhage and significant splenomegaly.A notable difference in spleen index between the infected and control groups was observed at 24 hours post-infection(P=0.001 688),with the greatest difference occurring at 96 hours post-infec-tion(P=0.000 074).Cytokine analysis revealed significant elevations in IL-2,IL-17A,KC,Eotax-in,MCP-1,RANTES,MIP-1α,MIP-1β,IFN-γ,G-CSF,and IL-10 levels in the infected group.A-mong these,the pro-inflammatory cytokines IL-17A and G-CSF exhibited the most substantial changes,positively correlating with the splenomegaly,and peaking at 96 hours post-infection,with concentrations of(104.74±3.91)and(5 184.08±280.22)ng/L,respectively,which were 26.79 and 36.25 times higher than those in the control group.These findings indicate that IL-17A and G-CSF play significant roles in the pro-inflammatory response following gastrointestinal infection with P.mirabilis.

Objective:To investigate the prognostic value of 18F-FDG PET/CT-based habitat radiomics combined with stacking ensemble learning model in overall survival (OS) of patients with hepatocellular carcinoma (HCC). Methods:A total of 136 HCC patients (114 males, 22 females, age (55.3±10.4) years) who underwent 18F-FDG PET/CT before treatment between January 2018 and January 2023 were retrospectively analyzed. Eighty-five cases from Tianjin First Central Hospital and 51 cases from Tianjin Medical University Cancer Institute and Hospital were used as a training cohort and an external validation cohort, respectively. The tumor volume of interest (VOI) was delineated on PET and CT images, and a total of 4 habitats were segmented by using the Otsu algorithm, including PET high ∩ CT low, PET low ∩ CT low, PET high ∩ CT high, and PET low ∩ CT high. After the feature selection, a total of 36 stacking ensemble learning models were established, and the optimal model was selected based on the calculated concordance index (C-index). Moreover, a combined model was developed by integrating the optimal model with clinical information. The predictive efficacy of those models was assessed by time-dependent ROC curves. Results:The model based on PET high ∩ CT high habitat radiomics features with multilayer perceptron (MLP) classifier had the highest C-index (0.770) in the external validation cohort, and it was regarded as the optimal radiomics model. The combined model incorporating this model with clinical information achieved an improved C-index of 0.815 in the external validation cohort. The combined model outperformed the other models for OS prediction, with a time-dependent AUC of 0.919, 0.900, and 0.862 in predicting the 1-year, 2-year, and 3-year OS, respectively. Conclusions:18F-FDG PET/CT-based habitat analysis outperforms traditional radiomics in OS prediction for HCC patients. By integrating the optimal habitat model with the clinical model, the combined model is able to improve the predictive efficacy.

Objective:To construct Lactococcus lactis (LL) based EmⅡ/3 vaccine of Echinococcus multilocularis and observe its expression efficiency. Methods:EmⅡ/3 gene was obtained through PCR amplification using the pCD-EmⅡ/3 as a template, the gene was cloned into pMG36e to construct pMG36e-EmⅡ/3 and transformed into Escherichia coli BL21 (DE3) competent cell, the recombinant plasmid was identified by double restriction endonuclease digestion, then was electroporated into LL MG1363 to construct recombinant (r) LL-EmⅡ/3 vaccine. After screening for roxithromycin resistance, the plasmid was extracted for PCR identification, and the expression was identified by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and Western blot. Results:The pMG36e-EmⅡ/3 recombinant plasmid was identified by double restriction endonuclease digestion, and there was an approximately 3 600 bp carrier band and a 1 759 bp EmⅡ/3 gene band. The plasmid extracted from roxithromycin resistant rLL strain was used as a template, and 1 759 bp EmⅡ/3 gene was amplified by PCR; SDS-PAGE demonstrated that the rLL-EmⅡ/3 vaccine could express EmⅡ/3 protein with a relative molecular weight of 66 × 10 3, and the expressed protein accounted for about 20% of the total bacteria protein after 3 days of culture; Western blot showed that the expressed protein could be recognized by mouse serum infected with alveolar hydatid cyst. Conclusion:We have successfully constructed the rLL-EmⅡ/3 vaccine of Echinococcus multilocularis, which expresses Em Ⅱ/3 protein with specific antigenicity.

Objective To explore the impact of severe weather on road traffic injuries (RTIs). Methods Relevant literature on the impact of meteorology on the occurrence and resulting casualties of road traffic injuries was searched. Meta-analysis was performed on the included literature using state16.0 software. Results A total of 28 articles were included. The results of meta-analysis showed that heat wave, cloudy day, snowy day, rainy day and other severe weather such as storm had a statistically significant impact on the occurrence of road traffic injuries. Severe weather such as storms had a statistically significant impact on RTIs casualties. Conclusion Heat wave, cloudy day, snowy day, rainy day, storm and other bad weather are independent risk factors for the occurrence of RTIs. Storm is a risk factor for accident casualties. There is not enough evidence to show that low temperature, cold wave and heavy fog are the influencing factors of road traffic accidents.