[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

Objective:To understand the current status of epidemiological investigation task force construction and the performance of infectious disease epidemic response in county (district) Centers for Disease Control and Prevention (CDCs) in China, analyze the influencing factors and provide scientific evidence to improve the construction of grassroot epidemiological investigation task force.Methods:A survey was conducted in epidemiological investigation staff in county (district) CDCs in 31 provinces (autonomous regions/municipalities) and Xinjiang Production and Construction Corps in China. A self-designed questionnaire was used to collect information based on the epidemiological dynamic data collection platform of China CDC. A descriptive epidemiological analysis was conducted, and multiple linear regression models were used to identify the factors associated with the performance of infectious disease epidemic response.Results:A total of 24 934 epidemiological investigation task force members from 2 897 county (district) CDCs were surveyed in the study. In the epidemiological investigation task force, women, those with bachelor's degree and public health workers accounted for 62.46%, 71.36%, and 49.05% respectively. Up to 91.72% of the task force members had participated in field epidemic response. The average score of awareness of epidemic investigation procedures was 60.00, while the average score of key skill proficiency in the investigation was 42.22. The epidemic response performance showed correlations with area, gender, age, education level, major, and field epidemiology training programs, those who had received longer training showed higher competency scores (all P<0.001). Conclusions:Progress has been made in the construction of epidemiological investigation task force in grass-root CDCs in China, but further improvements are needed, especially in the knowledge awareness and investigation skills of the task force. Field epidemiology training demonstrated substantial impact on the improvement of epidemic response performance, indicating that it is necessary to further strengthen the training in grassroot public health workers for the better response to infectious disease epidemics.

Updates to the modern diagnosis of GERD:Lyon consensus 2.0 was published online in Sep-tember 2023.It presents 23 consensus statements that update the modern definition of gastro-esophageal reflux disease(GERD)and optimize the diagnosis and management of GERD,providing an up-to-date basis for the diagnosis and treatment of GERD.The international consensus is based on the evaluation of studies conducted since the original consensus was published.However,due to the limitations of evidence-based evidence and the differences in national conditions,populations,and economic levels of different countries,it is necessary to in-terpret its applicability in China,so as to better promote the dissemination of its content and its implementation,and provide patients with the most appropriate guidance for clinical practice.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

Objective:To understand the current status of epidemiological investigation task force construction and the performance of infectious disease epidemic response in county (district) Centers for Disease Control and Prevention (CDCs) in China, analyze the influencing factors and provide scientific evidence to improve the construction of grassroot epidemiological investigation task force.Methods:A survey was conducted in epidemiological investigation staff in county (district) CDCs in 31 provinces (autonomous regions/municipalities) and Xinjiang Production and Construction Corps in China. A self-designed questionnaire was used to collect information based on the epidemiological dynamic data collection platform of China CDC. A descriptive epidemiological analysis was conducted, and multiple linear regression models were used to identify the factors associated with the performance of infectious disease epidemic response.Results:A total of 24 934 epidemiological investigation task force members from 2 897 county (district) CDCs were surveyed in the study. In the epidemiological investigation task force, women, those with bachelor's degree and public health workers accounted for 62.46%, 71.36%, and 49.05% respectively. Up to 91.72% of the task force members had participated in field epidemic response. The average score of awareness of epidemic investigation procedures was 60.00, while the average score of key skill proficiency in the investigation was 42.22. The epidemic response performance showed correlations with area, gender, age, education level, major, and field epidemiology training programs, those who had received longer training showed higher competency scores (all P<0.001). Conclusions:Progress has been made in the construction of epidemiological investigation task force in grass-root CDCs in China, but further improvements are needed, especially in the knowledge awareness and investigation skills of the task force. Field epidemiology training demonstrated substantial impact on the improvement of epidemic response performance, indicating that it is necessary to further strengthen the training in grassroot public health workers for the better response to infectious disease epidemics.

This paper interprets the best practice guidelines for Practice Education in Nursing published by the Registered Nurses' Association of Ontario (RNAO), providing a scientific basis and insights for the development and progress of nursing students' practical education in China. The goal is to improve the quality of nursing students' clinical practice and enhance their clinical service capabilities.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

This paper interprets the best practice guidelines for Practice Education in Nursing published by the Registered Nurses' Association of Ontario (RNAO), providing a scientific basis and insights for the development and progress of nursing students' practical education in China. The goal is to improve the quality of nursing students' clinical practice and enhance their clinical service capabilities.

Updates to the modern diagnosis of GERD: Lyon consensus 2.0 was published online in September 2023. It presents 23 consensus statements that update the modern definition of gastro-esophageal reflux disease (GERD) and optimize the diagnosis and management of GERD, providing an up-to-date basis for the diagnosis and treatment of GERD. The international consensus is based on the evaluation of studies conducted since the original consensus was published. However, due to the limitations of evidence-based evidence and the differences in national conditions, populations, and economic levels of different countries, it is necessary to interpret its applicability in China, so as to better promote the dissemination of its content and its implementation, and provide patients with the most appropriate guidance for clinical practice.

Objective:To investigate the epidemiology features, intervention effects and influencing factors of thrombosis in arteriovenous graft (AVG), and to provide reference for optimizing vascular access scheme in hemodialysis patients.Methods:It was a retrospective study. The clinical and follow-up data of patients with AVG constructed in the Blood Purification Center, the First Affiliated Hospital of Zhengzhou University from January 2018 to December 2022 were analyzed. According to whether AVG thrombosis occurred during the follow-up period, they were divided into thrombosis group and non-thrombosis group, and the epidemiology status, influencing factors and patency rates of AVG thrombosis were analyzed. AVG was followed up until June 30, 2023 or abandonment or death of patient or loss of follow-up. Kaplan-Meier method was used to analyze the patency rates of AVG. Log-rank test was used to compare the differences of patency rates between groups. Logistic regression model was used to analyze the influencing factors of AVG thrombosis.Results:The study included 475 AVG from 464 patients, with age of (55.50 ± 11.85) years old, 193 males (40.6%), 185 diabetes patients (38.9%) and dialysis age of 24 (1, 68) months. One hundred and fifty-four AVG (32.4%) had a total of 307 AVG thrombotic events during the follow-up of 602 (380, 920) days, with a standardized incidence of 0.34 times per patient-year. Among them, 60 cases (19.5%, 60/307) had frequent thrombosis. Kaplan-Meier survival analysis showed that AVG secondary patency rates at 2-years and 3-years in the thrombosis group and frequent thrombosis subgroup were inferior to those in the non-thrombosis group (84.0% vs. 92.5%, P=0.017; 66.5% vs. 85.7%, P<0.001; 78.9% vs. 92.5%, P=0.030; 54.6% vs. 85.7%, P<0.001). Two hundred and sixty-nine AVG thrombotic events were analyzed to evaluate the treatment effects. Endovascular interventional surgery was used for thrombectomy in 215 cases (79.9%), and hybrid surgery (endovascular interventional surgery combined with surgical incision) was used in 54 cases (20.1%), with a technical success rate of 98.9% (266/269) and a clinical success rate of 98.1% (264/269). Kaplan-Meier survival analysis showed that there were no statistically significant differences in the primary post-intervention patency rates at 90 days and 365 days, respectively (all P>0.05), and there was statistically significant difference in the primary post-intervention patency rate at 180 days (45.1% vs. 26.5%, Z=2.563, P=0.015). Multivariate logistic regression analysis showed that graft-applied type (intering as the reference, propaten OR=1.953, 95% CI 1.139-3.350, P=0.015; acuseal OR=2.628, 95% CI 1.438-4.800, P=0.002), body mass index < 18.5 kg/m 2 (18.5-24.0 kg/m 2 as the reference, OR=0.291,95% CI 0.090-0.943, P=0.040), serum albumin < 40 g/L ( OR=1.579, 95% CI 1.019-2.445, P=0.041), serum ferritin < 200 μg/L ( OR=1.818, 95% CI 1.162-2.845, P=0.009) and mean arterial pressure < 70 mmHg ( OR=7.180, 95% CI 1.339-38.501, P=0.021) were the independent influencing factors of AVG thrombosis. Conclusions:The incidence of AVG thrombotic events is 0.34 times per patient-year, mainly concentrated in a small number of patients. Thrombosis reduces the secondary patency rate of AVG. AVG thrombosis treatment with endovascular interventional surgery or hybrid surgery has a high technical success rate and a clinical success rate. The thrombosis is related to graft-applied types, nutritional status of patients and mean arterial pressure level.