Objective To investigate the occurrence risk for common complications of internal jugular vein(IJV)and subclavian vein(SCV)catheterization,and provide reference for the prevention and treatment of common com-plications during clinical intravenous infusion therapy.Methods Data from China National Knowledge Infrastruc-ture(CNKI),Wanfang Database,VIP Database,Embase(via OVID),PubMed,Cochrane Library,CINAHL,Web of Science,and ScienceDirect were retrieved,with the search period from database establishment to August 3,2023.Prospective cohort and experimental studies on common complications in patients with IJV and SCV cathete-rization were collected.Meta-analysis on the extracted data was performed with RevMan 5.3 software.Results A total of 29 studies involving 14 096 patients were included in the analysis,including 6 355 patients with SCV cathe-terization(SCV group)and 7 741 patients with IJV catheterization(IJV group).Meta-analysis results showed that the occurrence risk for hemopneumothorax(OR=0.23,95％CI[0.14-0.37])and catheter tip ectopic(OR=0.16,95％CI[0.03-0.85])in SCV group was higher than that in IJV group,and the occurrence risk for central venous catheter-related deep venous thrombosis in IJV group was higher than that in SCV group(OR=2.35,95％CI[1.31-4.21]),with statistically significant differences(all P＜0.01).There were no statistical differences in the occurrence risk of vascular catheter-related bloodstream infection(CRBSI),catheter blockage,and catheter local he-matoma between the two groups(all P＞0.05),there was difference in the combined result of subgroup analysis re-garding catheter bacterial colonization.Conclusion Compared with IJV,patients in SCV group have a higher risk of developing hemopneumothorax and catheter tip ectopic,while patients with catheterization in IJV group have a high-er risk of deep veinous thrombosis.There are no significant differences in the occurrence risk for CRBSI,catheter blockage,and catheter local hematoma between two groups of patients.It is suggested that patient's own conditions and the accessibility of deep vein catheterization should be considered more when selecting the site of deep venous catheterization.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.

Objective To investigate the occurrence risk for common complications of internal jugular vein(IJV)and subclavian vein(SCV)catheterization,and provide reference for the prevention and treatment of common com-plications during clinical intravenous infusion therapy.Methods Data from China National Knowledge Infrastruc-ture(CNKI),Wanfang Database,VIP Database,Embase(via OVID),PubMed,Cochrane Library,CINAHL,Web of Science,and ScienceDirect were retrieved,with the search period from database establishment to August 3,2023.Prospective cohort and experimental studies on common complications in patients with IJV and SCV cathete-rization were collected.Meta-analysis on the extracted data was performed with RevMan 5.3 software.Results A total of 29 studies involving 14 096 patients were included in the analysis,including 6 355 patients with SCV cathe-terization(SCV group)and 7 741 patients with IJV catheterization(IJV group).Meta-analysis results showed that the occurrence risk for hemopneumothorax(OR=0.23,95％CI[0.14-0.37])and catheter tip ectopic(OR=0.16,95％CI[0.03-0.85])in SCV group was higher than that in IJV group,and the occurrence risk for central venous catheter-related deep venous thrombosis in IJV group was higher than that in SCV group(OR=2.35,95％CI[1.31-4.21]),with statistically significant differences(all P＜0.01).There were no statistical differences in the occurrence risk of vascular catheter-related bloodstream infection(CRBSI),catheter blockage,and catheter local he-matoma between the two groups(all P＞0.05),there was difference in the combined result of subgroup analysis re-garding catheter bacterial colonization.Conclusion Compared with IJV,patients in SCV group have a higher risk of developing hemopneumothorax and catheter tip ectopic,while patients with catheterization in IJV group have a high-er risk of deep veinous thrombosis.There are no significant differences in the occurrence risk for CRBSI,catheter blockage,and catheter local hematoma between two groups of patients.It is suggested that patient's own conditions and the accessibility of deep vein catheterization should be considered more when selecting the site of deep venous catheterization.

Objective To screen specific antibodies to Helicobacter pylori(H.pylori)in serum,and establish antibody panels and discrimination models for different infection status,which are non-invasive and suitable for gastric cancer screening in Chinese population.Methods A total of 300 subjects with different H.pylori statuses were enrolled depending on an endoscopy screening cohort in a high-risk area of gastric cancer,including current,past,and negative infections.The recomLine Helicobacter IgG 2.0 immunoblotting assay was used to analyze and screen 10 H.pylori specific antibodies in serum samples.Results A total of nine antibody reactivity against CagA,VacA,GroEL,FliD,HpaA,gGT,HtrA,NapA,and CtkA showed significant differences among different H.pylori infection status groups(all P＜0.05).A panel comprising the nine antibodies distinguished exposure subjects to H.pylori(current and past infections)from negatives,with an area under the curve(AUC)of 0.935(95%CI:0.907-0.963).The combination of four antibodies(CagA,GroEL,FliD,and gGT)may help to discriminate current and past infection subjects,with an AUC of 0.927(95%CI:0.891-0.964).Conclusion The antibody panels and discriminant models for H.pylori infection status established in the present study may provide a potential and non-invasive screening method for the development of precise gastric cancer prevention strategies.

Objective:To identify proteins associated with the risk of gastric cancer (GC) and build a protein risk score for risk prediction of GC based on proteomic analysis.Methods:Gastric mucosal proteomics data were used to construct Dataset One, comprising 94 GC cases and 230 individuals with different stages of gastric mucosal lesions. The GC cases were recruited from the National Upper Gastrointestinal Cancer Early Detection (UGCED) Program in Linqu, Shandong Province, as well as clinical patients from the Fifth Medical Center, General Hospital of PLA, and Peking University Cancer Hospital. Non-cancer individuals were enrolled from the National UGCED Program in Linqu and community screening programs at the Dongfang Hospital. All participants were pathologically confirmed. Multivariate logistic regression analysis was employed to identify gastric mucosal proteins significantly associated with GC risk. Subsequently, plasma proteomics data from the UK Biobank Pharma Proteomics Project (UKB-PPP) were used to construct Dataset Two, including 40 baseline GC cases and 47 933 non-cancer individuals, and Dataset Three, comprising 138 incident GC cases and 47 933 non-cancer individuals during a prospective follow-up period. In Dataset Two, multivariate logistic regression analysis was conducted to assess associations between plasma protein levels and baseline GC risk. In Dataset Three, multivariate Cox regression analysis was used to examine associations with the risk of incident GC. A poly-protein risk score (PRS) was developed using a weighted summation method based on protein effect sizes from Dataset Two. Its associations with GC risk and the progression of gastric mucosal lesions were evaluated using linear regression trend tests.Results:A total of 324, 47 973 and 48 071 participants were included in Datasets One, Two, and Three, respectively. Across the three datasets, the proportions of males and individuals aged>60 years were higher in the GC group than in the non-GC group (all P values<0.05). The follow-up period in Dataset Three had a M ( P 25, P 75) of 14.47 (13.7, 15.2) years, with a median of 7.4 (4.6, 11.3) years for those who progressed to GC. Based on Dataset One, 2 524 tissue-differential proteins associated with GC risk were identified through multivariate logistic regression analysis adjusted for age and sex. Among these, seven proteins were consistently associated with GC risk across tissue and plasma levels in Datasets Two and Three, with consistent directions of association. Five proteins (MRC1, APOL1, BST2, PON2, and GGH) were positively associated with GC risk, while two (GSN and CLEC3B) were negatively associated. Analysis of the PRS based on these seven proteins showed that for each standard deviation increase in the tissue-derived PRS, the risk of GC increased by 6.26 times (95% CI: 4.02-9.75). In Dataset Two, each standard deviation increase in the plasma-derived PRS was associated with a 2.13-fold increase in GC risk (95% CI: 1.68-2.69). In the prospective cohort of Dataset Three, individuals in the high PRS group had a 2.27-fold higher risk of GC compared to the low PRS group (95% CI: 1.50-3.45). Moreover, each standard deviation increase in the plasma PRS was associated with a 57% higher risk of GC ( HR=1.57, 95% CI: 1.34-1.84). Additionally, the tissue-derived PRS showed an increasing trend with the progression of gastric mucosal lesions. Conclusion:The tissue and plasma proteomics identified seven individual proteins that may indicate the risk of developing gastric cancer, showing the potential as biomarkers for aiding in the screening of gastric cancer.

Objective To screen specific antibodies to Helicobacter pylori(H.pylori)in serum,and establish antibody panels and discrimination models for different infection status,which are non-invasive and suitable for gastric cancer screening in Chinese population.Methods A total of 300 subjects with different H.pylori statuses were enrolled depending on an endoscopy screening cohort in a high-risk area of gastric cancer,including current,past,and negative infections.The recomLine Helicobacter IgG 2.0 immunoblotting assay was used to analyze and screen 10 H.pylori specific antibodies in serum samples.Results A total of nine antibody reactivity against CagA,VacA,GroEL,FliD,HpaA,gGT,HtrA,NapA,and CtkA showed significant differences among different H.pylori infection status groups(all P＜0.05).A panel comprising the nine antibodies distinguished exposure subjects to H.pylori(current and past infections)from negatives,with an area under the curve(AUC)of 0.935(95%CI:0.907-0.963).The combination of four antibodies(CagA,GroEL,FliD,and gGT)may help to discriminate current and past infection subjects,with an AUC of 0.927(95%CI:0.891-0.964).Conclusion The antibody panels and discriminant models for H.pylori infection status established in the present study may provide a potential and non-invasive screening method for the development of precise gastric cancer prevention strategies.

In June 1958, the first specialized acupuncture hospital, the Affiliated Acupuncture Experimental Hospital of Jiangsu Provincial School of TCM, was established in Nanjing. This hospital was founded under the initiative of Mr. CHENG Dan'an, the founder of the Chengjiang School of Acupuncture. Centered on clinical acupuncture, the hospital also carried out research and teaching, forming an integrated development model of medical care, education, and research. Its development experience, including a clear hospital-running philosophy, orientation toward solving clinical needs, and deep integration of medical care, education, and research, provides important historical references for the construction of modern specialized acupuncture hospitals.
China ; History, 20th Century ; Acupuncture Therapy/history* ; Humans ; Acupuncture/education* ; Hospitals, Special/history*

Objective:To assess the predictive efficacy of 18F-FDG PET/CT-based radiomics models for the mutation status of Kirsten rats sarcoma viral oncogene homolog (KRAS) in patients with non-small cell lung cancer (NSCLC). Methods:From January 2016 to January 2021, the 18F-FDG PET/CT images and KRAS testing of 258 NSCLC patients (180 males, 78 females; age: 33-91 years) in the First Affiliated Hospital of the Air Force Military Medical University were retrospectively analyzed. Patients were randomly divided into training set ( n=180) and validation set ( n=78) in the ratio of 7∶3. Tumor lesions on PET and CT images were drawn respectively, and the radiomics features of PET and CT lesions were extracted. The radiomics features were screened by least absolute shrinkage and selection operator (LASSO). CT radiomics score (RS) model, PET/CT RS model and composite models of PET/CT RS combined with screened clinical information were eventually developed. ROC curves were used to assess the predictive efficacy of these models. Results:The CT RS model included 4 radiomics features and the PET/CT RS model included 4 CT radiomics features and 8 PET radiomics features. The CT RS model and the PET/CT RS model both had significant differences in RS between KRAS mutant and wild-type patients in the training set and validation set ( z values: from -8.30 to -4.10, all P<0.001). In predicting KRAS mutations, the composite model of PET/CT RS combined with age showed AUCs of 0.879 and 0.852 in the training and validation sets respectively, which were higher than those of the CT RS model (0.813 and 0.770) and the PET/CT RS model (0.858 and 0.834). The accuracy of the composite model of PET/CT RS combined with age were 81.67%(147/180) and 79.49%(62/78) in the training set and validation set respectively, which were also higher than those of the CT RS model (75.00%(135/180) and 74.36%(58/78)) and the PET/CT RS model (78.89%(142/180) and 78.21%(61/78)). Conclusion:Models based on radiomics features can predict KRAS gene mutation status, and the composite model combining PET/CT RS and age can improve the prediction performance.

Objective:To provide evidence for optimizing the screening strategy for gastric cancer (GC), we evaluated the risk of incident GC for individuals with different precancerous gastric lesions in a prospective cohort study.Methods:Based on the National Upper Gastrointestinal Cancer Early Detection Program launched in Linqu, Shandong, a high-risk area of gastric cancer in China, we included a total of 14 087 subjects diagnosed with different gastric lesions stages by endoscopic screening from 2012 to 2018. Study subjects were prospectively followed up until December 31, 2019. The incidence of GC during the follow-up was ascertained by repeated endoscopic examinations, cancer, death registry reports, and active follow-up of study subjects and was confirmed by reviewing medical records extracted from the hospital information management system. The Poisson regression model was applied to calculate the relative risk ( RR) and 95% CI for GC occurrence among subjects with different gastric lesions. Results:Among 14 087 subjects with different gastric lesions as determined by their first endoscopic examination in 2012-2018, 7 608 (54.00%) had a global diagnosis of superficial gastritis (SG), 2 848 (20.22%) had chronic atrophic gastritis (CAG), 3 103 (22.03%) had intestinal metaplasia (IM), and 520 (3.69%) had low-grade intestinal neoplasia (LGIN). During the follow-up, 109 subjects were diagnosed with GC, including 63 with high-grade intestinal neoplasia (HGIN) and 46 with invasive GC. Compared to subjects having normal gastric mucosa or SG, those with CAG ( RR=3.85, 95% CI: 2.04-7.28), IM ( RR=5.18, 95% CI: 2.79-9.60), and LGIN ( RR=19.08, 95% CI: 9.97-36.53) had significantly increased risk of progression to GC. Individuals with these gastric lesions had an elevated risk of developing HGIN and invasive GC. For subjects with LGIN, the RR was 22.96 (95% CI: 9.71-54.27) for developing HGIN and 14.64 (95% CI: 5.37-39.93) for developing invasive GC. Subgroup analyses found that all age group subjects with LGIN diagnosed during the initial endoscopic examination had a significantly increased risk of developing the GC. Conclusions:Our large-scale prospective study on a high-risk area of GC showed that most residents aged 40-69 years had gastric lesions of different stages. Subjects with more advanced gastric lesions had a significantly increased risk of progression to GC.

Objective:To establish an early prediction model with multiple indicators to predict the risk of severe acute pancreatitis (SAP) in hyperlipidemic acute pancreatitis (HLAP).Methods:The clinical data of 92 patients with HLAP admitted to the Emergency Department of our hospital from March 2018 to February 2020 were analyzed retrospectively. Among them, 29 cases deteriorated to SAP and 63 cases did not. Univariate analysis was used to screen predictive indicators related to hyperlipidemic severe acute pancreatitis (HL-SAP), and logistic regression analysis was used to screen independent predictive indicators related to HL-SAP. Then a prediction model was established. The area under (AUC) the receiver operating curve (ROC) was used to evaluate the predictive ability of each predictive indicator and the model for HL-SAP. Bootstrap resampling technology was used to validate the predictive ability of the model.Results:Univariate analysis showed that procalcitonin, D-dimer, C-reactive protein, albumin, cholesterol and CT grade had influence on the progression of HLAP to SAP ( P<0.05). Logistic regression analysis showed that D-dimer ( OR=2.112, 95% CI: 1.022-4.366; P<0.05), CT grade ( OR=5.818, 95% CI: 2.481-13.643; P<0.01) and cholesterol ( OR=1.146, 95% CI: 1.004-1.308; P<0.05) were independent risk factor of HL-SAP. The AUC of D-dimer, CT grade, cholesterol and the model were 0.802, 0.875, 0.665 and 0.927, respectively. Internal validation of the predictive ability of the model showed that the C-index was 0.927. Conclusions:In the early phase, application of the prediction model that composes D-dimer, CT grade and cholesterol has a good predictive effect on HL-SAP.