Objective To verify the radiation shielding effects of a self-developed protective shield for infant bedside X-ray radiography, and measure the dose distribution in the indoor radiation field with and without the shield, and to provide guidance for the radiation protection of infants sharing the room. Methods A MUX-100J mobile medical diagnostic X-ray machine was used as the radiographic device to simulate the exposure conditions of infant bedside X-ray radiography. The ambient dose equivalent rates at measurement points in eight directions on the irradiation plane in the indoor radiation field were measured with and without the protective shield using an AT1121 X/γ dose rate meter under the conventional condition of 56 kV and the maximum single exposure time. Results During infant bedside X-ray radiography, the dose levels in all directions on the irradiation plane within 150 cm from the scatterer center were essentially symmetrically distributed. The ambient dose equivalent rate at 100 cm from the scatterer center on the irradiation plane was (8.01-8.28)×10³ μSv/h without the protective shield and 48-84 μSv/h with the shield. At various distances from the scatterer center in all directions on the irradiation plane, the doses measured with the protective shield ranged from 0.34% to 14.12% of those measured without the shield, with an average of 1.85%. Conclusion The dose levels in the indoor radiation field were significantly reduced with the protective shield during infant bedside X-ray radiography. The use of the protective shield can effectively reduce the radiation risk for individuals near the radiographic site within the same room.

Objective To verify the radiation shielding effects of a self-developed protective shield for infant bedside X-ray radiography, and measure the dose distribution in the indoor radiation field with and without the shield, and to provide guidance for the radiation protection of infants sharing the room. Methods A MUX-100J mobile medical diagnostic X-ray machine was used as the radiographic device to simulate the exposure conditions of infant bedside X-ray radiography. The ambient dose equivalent rates at measurement points in eight directions on the irradiation plane in the indoor radiation field were measured with and without the protective shield using an AT1121 X/γ dose rate meter under the conventional condition of 56 kV and the maximum single exposure time. Results During infant bedside X-ray radiography, the dose levels in all directions on the irradiation plane within 150 cm from the scatterer center were essentially symmetrically distributed. The ambient dose equivalent rate at 100 cm from the scatterer center on the irradiation plane was (8.01-8.28)×10³ μSv/h without the protective shield and 48-84 μSv/h with the shield. At various distances from the scatterer center in all directions on the irradiation plane, the doses measured with the protective shield ranged from 0.34% to 14.12% of those measured without the shield, with an average of 1.85%. Conclusion The dose levels in the indoor radiation field were significantly reduced with the protective shield during infant bedside X-ray radiography. The use of the protective shield can effectively reduce the radiation risk for individuals near the radiographic site within the same room.

Objective To verify the radiation shielding effects of a self-developed protective shield for infant bedside X-ray radiography, and measure the dose distribution in the indoor radiation field with and without the shield, and to provide guidance for the radiation protection of infants sharing the room. Methods A MUX-100J mobile medical diagnostic X-ray machine was used as the radiographic device to simulate the exposure conditions of infant bedside X-ray radiography. The ambient dose equivalent rates at measurement points in eight directions on the irradiation plane in the indoor radiation field were measured with and without the protective shield using an AT1121 X/γ dose rate meter under the conventional condition of 56 kV and the maximum single exposure time. Results During infant bedside X-ray radiography, the dose levels in all directions on the irradiation plane within 150 cm from the scatterer center were essentially symmetrically distributed. The ambient dose equivalent rate at 100 cm from the scatterer center on the irradiation plane was (8.01-8.28)×10³ μSv/h without the protective shield and 48-84 μSv/h with the shield. At various distances from the scatterer center in all directions on the irradiation plane, the doses measured with the protective shield ranged from 0.34% to 14.12% of those measured without the shield, with an average of 1.85%. Conclusion The dose levels in the indoor radiation field were significantly reduced with the protective shield during infant bedside X-ray radiography. The use of the protective shield can effectively reduce the radiation risk for individuals near the radiographic site within the same room.

Objective To investigate the effects of perioperative blood glucose(BG)levels on postoperative acute kidney injury(AKI)and rehabilitation in diabetic patients with coronary heart disease after coronary artery bypass grafting(CABG).Methods Randomly select data from 142 patients who underwent CABG treatment at The Fuwai Cardiovascular Hospital in Qingdao from January to December 2022,and compare the BG indicators,AKI incidence,cardiac function improvement and quality of life between good control group(n=57)and poor control group(n=85).Results The operation time,ventilator use time,postoperative ICU time,hospital stay time and various BG indexes in the good control group were significantly lower than those in the poor control group(P<0.05 or P<0.01).27 patients(19.01%)developed AKI after surgery,and the incidence of AKI in the good control group was significantly lower than that in the poor control group(10.53%vs 24.71%,P<0.05).After treatment,the cardiac function indexes in both groups were significantly improved compared with those before surgery,and the good control had significantly better cardiac function and quality of life than the poor control(P<0.05).Conclusions The incidence of AKI after CABG in patients with diabetes and coronary heart disease was 19.01%.Good perioperative BG level control can reduce the risk of postoperative AKI and help early postoperative recovery.

Objective:To investigate the accuracy of risk perception for atherosclerotic cardiovascular disease (ASCVD) among community residents in Jining and analyze its influencing factors.Methods:Using a multistage cluster random sampling method, community residents from eight communities in Jining were selected between September 2022 and December 2023. Data were collected using a general demographic questionnaire, objective ASCVD risk assessment, the Chinese version of the Attitudes and Beliefs about Cardiovascular Disease Risk Questionnaire-Chinese Version (ABCD-C), the 2018 National Health Literacy Monitoring Survey, and a Self-reported Health Status Questionnaire.Results:Among 955 residents, 325 accurately estimated their ASCVD risk, 173 underestimated it, and 457 overestimated it. Education level and health literacy were influencing factors for overestimating ASCVD risk ( P<0.05), while education level, health literacy, family history of ASCVD, and self-reported health status were influencing factors for underestimating ASCVD risk ( P<0.05) . Conclusions:A significant proportion of Jining community residents underestimated their ASCVD risk. Nurses conducting ASCVD primary prevention education should provide tailored health education based on the local characteristics and cultural background of Jining. Special attention should be given to residents with lower education levels and health literacy, as well as those without a family history of ASCVD or with self-perceived good health, to prevent underestimation of their ASCVD risk.

Objective:To identify latent profiles of emotional intelligence (EI) among undergraduate nursing interns and explore its impact on their ability to protect patient privacy, with the aim of providing a basis for targeted interventions.Methods:A convenience sampling method was used to recruit 470 undergraduate nursing interns from four nursing colleges in Shandong Province between June and September 2024. Data were collected using a general demographic questionnaire, the Wong Law Emotional Intelligence Scale-Chinese Version (WLEIS-C), the Patient Privacy Scale (PPS), the Moral Sensitivity Questionnaire for Nursing Students (MSQ-ST), and the Jefferson Scale of Empathy for Health Professionals (JSE-HP). Mplus 8.7 software was used to conduct latent profile analysis of emotional intelligence, and Logistic regression analysis was employed to identify influencing factors for the different EI profiles.Results:A total of 470 questionnaires were distributed in this study and 444 valid questionnaires were recovered, yielding a response rate of 94.47% (444/470). The EI of nursing interns was categorized into three latent profiles: low EI group ( n=81), moderate EI group ( n=170), and high EI group ( n=193). Logistic regression analysis indicated that liking for the nursing profession, moral sensitivity, and empathy ability were significant predictors of EI profile membership ( P<0.05). Statistically significant differences were observed in total PPS scores and subscale scores among interns across the three EI profiles (all P<0.01) . Conclusions:Emotional intelligence among undergraduate nursing interns exhibits heterogeneity, and interns with different EI profiles show distinct levels of competence in protecting patient privacy. Nursing educators and administrators are advised to establish risk screening mechanisms to identify subgroups with low emotional intelligence. Targeted interventions should be developed based on influencing factors specific to each profile, aiming to enhance both emotional intelligence and privacy protection capabilities in a coordinated manner.

Objective:To investigate the pathogen distribution, temporal trends in the rates of antimicrobial resistance, and susceptibility of bloodstream isolates and comparatively explore the epidemiological characteristics of bloodstream infections in hematology departments across 56 healthcare facilities in Guangdong Province from 2020 to 2024.Methods:A multicenter analysis was conducted to evaluate the constituent ratio of different pathogens isolated from clinical isolate data from bloodstream specimens in hematology, respiratory, and intensive care unit (ICU) departments across 56 healthcare facilities in Guangdong Province (2020-2024), and antimicrobial resistance trends in pathogens with high-detection rate over 5 years were assessed. Carbapenem-resistant Gram-negative organisms (CRO) were randomly sampled for carbapenemase gene detection and in vitro antimicrobial susceptibility tests with novel antimicrobial agents.Results:From 2020 to 2024, a total of 8 968, 6 440, and 25 511 bloodstream isolates were identified in the hematology, respiratory, and ICU departments, respectively, across 56 participating facilities in Guangdong Province, with significant differences in the pathogen constituent ratio among departments ( P<0.001). Notably, the hematology department demonstrated a predominance of Escherichia coli (24.1%), Klebsiella pneumoniae (17.5%), Pseudomonas aeruginosa (11.7%), coagulase-negative Staphylococci (15.2%), and Staphylococcus aureus (5.1%). In the resistance analysis, the rates of meropenem resistance of Escherichia coli and Klebsiella pneumonia increased from 6.7% and 5.8% (2020) to 14.0% and 15.8% (2024), respectively. Conversely, Pseudomonas aeruginosa exhibited a declining trend in the rate of meropenem resistance (6.2% to 1.9%) and imipenem (10.2% to 6.1%) during the same period. Acinetobacter baumannii demonstrated a biphasic resistance pattern to common antimicrobial agents, characterized by an initial decline, followed by a rebound. In this study, the susceptibility rates to conventional antimicrobial agents were significantly higher in Staphylococcus aureus versus coagulase-negative Staphylococci, with no glycopeptide- or linezolid-resistant strains detected. Notably, the prevalence of vancomycin-resistant Enterococcus faecium increased from 0 in 2020 to 23.1% in 2024. CRO carbapenemase phenotypes through active surveillance revealed that 80% Escherichia coli isolates were carrying blaNDM, 90% Klebsiella pneumoniae isolates were carrying blaKPC, 10% Pseudomonas aeruginosa isolates were carrying blaVIM, and 100% Acinetobacter baumannii were carrying blaOXA-23. The results of the antimicrobial susceptibility test in CRO revealed that carbapenem-resistant Escherichia coli (CRECO) demonstrated a 0 resistance rate to tigecycline, polymyxin B, and aztreonam/avibactam, whereas carbapenem-resistant Klebsiella pneumoniae exhibited a 0 resistance rate to aztreonam/avibactam, ceftazidime/avibactam, and imipenem/relebactam. Carbapenem-resistant Pseudomonas aeruginosa exhibited a 95.0% susceptibility rate to amikacin and polymyxin B, with a 45.0% resistance rate to ceftazidime/avibactam. In contrast, carbapenem-resistant Acinetobacter baumannii demonstrated complete susceptibility (100.0%) to sulbactam/durlobactam (MIC90=2 μg/ml), whereas eravacycline showed MIC50 and MIC90 values of 1 and 2 μg/ml, respectively. Conclusion:The pathogen constituent ratio of bloodstream isolates differed significantly among hematology, respiratory, and ICU departments. Notably, although CRO exhibited an escalating prevalence, it sustained high susceptibility to novel antimicrobial agents.

Objective:To identify latent profiles of emotional intelligence (EI) among undergraduate nursing interns and explore its impact on their ability to protect patient privacy, with the aim of providing a basis for targeted interventions.Methods:A convenience sampling method was used to recruit 470 undergraduate nursing interns from four nursing colleges in Shandong Province between June and September 2024. Data were collected using a general demographic questionnaire, the Wong Law Emotional Intelligence Scale-Chinese Version (WLEIS-C), the Patient Privacy Scale (PPS), the Moral Sensitivity Questionnaire for Nursing Students (MSQ-ST), and the Jefferson Scale of Empathy for Health Professionals (JSE-HP). Mplus 8.7 software was used to conduct latent profile analysis of emotional intelligence, and Logistic regression analysis was employed to identify influencing factors for the different EI profiles.Results:A total of 470 questionnaires were distributed in this study and 444 valid questionnaires were recovered, yielding a response rate of 94.47% (444/470). The EI of nursing interns was categorized into three latent profiles: low EI group ( n=81), moderate EI group ( n=170), and high EI group ( n=193). Logistic regression analysis indicated that liking for the nursing profession, moral sensitivity, and empathy ability were significant predictors of EI profile membership ( P<0.05). Statistically significant differences were observed in total PPS scores and subscale scores among interns across the three EI profiles (all P<0.01) . Conclusions:Emotional intelligence among undergraduate nursing interns exhibits heterogeneity, and interns with different EI profiles show distinct levels of competence in protecting patient privacy. Nursing educators and administrators are advised to establish risk screening mechanisms to identify subgroups with low emotional intelligence. Targeted interventions should be developed based on influencing factors specific to each profile, aiming to enhance both emotional intelligence and privacy protection capabilities in a coordinated manner.

Objective:This study aims to construct a quality evaluation index system for specialized disease databases. Through systematic assessment and optimization, it seeks to comprehensively enhance the quality and standardization of specialized disease cohort data. This initiative will provide more precise and reliable data support for disease research, the development of innovative drugs and medical devices, as well as policy formulation.Methods:By conducting a thorough analysis of domestic and international literature and policies related to clinical research data quality evaluation systems, preliminary quality evaluation indicators for specialized disease databases were established. Utilizing the Delphi method in two rounds, a quality evaluation system for specialized disease databases was constructed. The Analytic Hierarchy Process (AHP) and YAAHP 7.5 software were then employed to calculate the relative weights of indicators at various levels and their composite weights.Results:The two rounds of expert consultation achieved a 100.00% valid response rate, with an expert authority coefficient of 0.81 in both rounds. In the second round, the Kendall′s coordination coefficients for the first-level and second-level indicators reached 0.311 and 0.218, respectively ( P<0.05), indicating a good level of consensus among experts. The final specialized disease database quality evaluation system consists of 3 first-level indicators, 10 second-level indicators, and 32 third-level indicators. The first-level indicators include database construction, data quality, and cohort development, with weight coefficients of 31.82%, 41.49%, and 26.69%, respectively. The scientific validity of the indicator system was confirmed through reliability and validity analyses. When applied to assessing 58 specialized disease database projects from 36 medical institutions in a certain city, the results showed significant improvements in scores for database construction, data quality, and cohort development, with the most notable improvement observed in database construction. Conclusions:This study successfully developed a scientific, practical, and rationally weighted quality evaluation system for specialized disease databases, demonstrating high expert consensus and broad applicability.Validation studies have shown that this system effectively enhances the standardization and data quality of databases, providing robust technical support and assurance for specialized disease research and data resource sharing.

Objective To analyze the incidence and mortality of gastric cancer in countries and territories with different human development index(HDI)levels in 2022,and to understand the burden of gastric cancer globally and in China.Methods Data on gastric cancer incidence and mortality were collected from GLOBOCAN 2022 and HDI data for all countries were obtained from the Human development report 2022.Spearman correlation was applied to examine the associations between the age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),mortality-to-incidence ratio(M/I),and HDI for gastric cancer.The Wilcoxon rank-sum test was used to assess the differences in ASIR and ASMR between males and females.Results In 2022,gastric cancer ranked the 5th in both incidence and mortality among all cancer types globally.In China,gastric cancer ranked the 5th in incidence and the 3rd in mortality among all cancer types.The ASIR and ASMR of gastric cancer showed a descending trend from high,very high,medium to low HDI countries and territories.The ASIR of gastric cancer was positively correlated with HDI(rs=0.256,P=0.001),while ASMR showed no significant correlation with HDI(rs=-0.008,P=0.918).The M/I was negatively correlated with HDI(rs=-0.831,P＜0.001).The ASIR and ASMR of gastric cancer in males were significantly higher than those in females globally,in China,and across all HDI groups(all P＜0.05).Globally,both ASIR and ASMR of gastric cancer remained relatively stable before the age of 45,but showed a consistently rising trend after the age of 45.In China,the ASIR and ASMR of gastric cancer exceeded global average level across all age groups.Conclusion The burden of gastric cancer incidence and mortality is higher in very high and high HDI countries and territories compared to medium and low HDI countries and territories.In China,the burden of gastric cancer incidence and mortality is above the global average,highlighting the need for targeted prevention and control measures.