Objective:To establish an emergency support system for regional medical equipment,and provide intelligent auxiliary tools for turnover of medical equipment,and improve support capabilities of medical equipment.Methods:Data exchange mechanism among multiple entities and a collaborative deployment strategy with multi nodes were established based on distributed storage and blockchain technique.The open distributed storage system Ceph was adopted to establish a distributed storage structure.The functional departments in medical institutions was used as nodes of blockchain to form archive information of regional medical equipment.Aimed at the archive data of medical equipment,the digital verification information of blockchain for archive of medical equipment were generated so as to ensure data integrity and immutability.Using smart contract technique to embed archive management rules and turnover processes into code,so as to achieve automatic processing for emergency support of medical equipment.Based on the above research,web layered architecture was adopted to establish emergency support system of regional medical equipment based on distributed storage,in order to provide systematic platform support for emergency support of medical equipment under public health emergency.A total of 750 medical equipment of Beijing Daxing District People's Hospital were used as research objects.A distributed storage structure that was simulated was constructed through established and simulated 6 application nodes.Aimed at the decision task for emergency support of medical equipment,the manual decision-making and systematic decision-making were selected respectively to conduct comparative study.Results:Compared with expert decision-making,the coincidence rate of the strategy of emergency support,which was formulated by emergency support system of regional medical equipment based on distributed storage,could reach to 93.33%,which formulation duration was(0.11±0.03)s.It was significantly lower than manual decision-making time(15.21±2.65)s.Conclusion:The accuracy of deployment strategy of medical equipment closes to decision-making of expert,and its decision-making speed significantly increased,which contributes to improve the response speed and rescue level of medical emergency work.It can provide reference for establishing a medical distributed system.

Objective:To evaluate the effectiveness of a workshop-driven interactive teaching model in clinical alarm training for undergraduate nursing interns in the intensive care unit (ICU).Methods:A total of 120 undergraduate nursing students who interned in the ICU from November 2023 to April 2024 were enrolled and randomly assigned using a random number table into a control group ( n=60, traditional teaching) and an intervention group ( n=60, workshop-driven interactive teaching). Clinical alarm knowledge, attitudes, and practices (KAP); perception of patient safety culture; and training satisfaction were assessed before and after the training using validated questionnaires. Differences between groups were analyzed using independent sample t-test, paired sample t-test, chi-square test, and the Mann-Whitney U test with SPSS 22.0. Results:There were no significant differences between the two groups in clinical alarm KAP scores or patient safety culture perception scores before the training ( P>0.05). After the training, the intervention group showed significantly higher scores in clinical alarm KAP [(127.58±6.45) vs. (123.48±7.61), t=3.17, P=0.002] and patient safety culture perception [(99.44±9.17) vs. (95.45±12.03), t=-2.04, P=0.044] compared with the control group. Satisfaction with training content, teaching quality, and overall instructional design was significantly higher in the intervention group than in the control group ( P<0.05). Within-group comparisons showed that the intervention group had significant improvements in clinical alarm KAP [(127.58±6.45) vs. (120.10±10.25), t=-5.10, P<0.001] and patient safety culture perception [(99.44±9.17) vs. (94.46±12.12), t=-2.65, P=0.010] after training. No significant changes were observed in the control group after training ( P>0.05). Conclusions:The workshop-driven interactive teaching model can effectively enhance the clinical alarm KAP levels and patient safety culture perception among undergraduate nursing interns in the ICU. This teaching approach provides a scientific basis for optimizing clinical alarm education and cultivating high-quality nursing professionals.

Objective:To investigate the relationship between SET domain bifurcated 1(SETDB1)expression and trefoil factor 1(TFF1)gene methylation,along with its clinical significance.Methods:Fifty-five lung adenocarcinoma samples and normal tissues of distant cancer were collected from the Affiliated Hospital of Chengde Medical College Hebei Province.TFF1 gene methylation levels were measured by pyrosequencing,relative TFF1 mRNA expression was assessed using quantitative real-time polymerase chain reaction(qRT-PCR),and TFF1 and SETDB1 protein expression were quantified via immunohistochemistry.The clinical significance and correlation between TFF1 methyla-tion levels and SETDB1 protein expression were analyzed statistically.In vitro,SETDB1 siRNA or negative control siRNA was transfected into A549 cells.Following transfection,SETDB1 mRNA expression was analyzed using qRT-PCR,and SETDB1 protein expression was evaluated via Western blot.TFF1 methylation was reassessed via pyrosequencing.Results:In lung adenocarcinoma and normal tissues of distant cancer,TFF1 gene methylation rates were(70.16±6.32)%and(12.46±2.22)%,respectively.TFF1 mRNA relative expression levels were 0.56±0.17 for cancer tissues and 1.56±0.22 for the normal tissues of distant cancer.All detected differences were statistically significant(all P<0.05).TFF1 protein expression rates were 29.09%(16/55)for cancer tissues and 65.45%(36/55)for the normal tissues of distant cancer.Additionally,relative positivity rates for SETDB1 protein expression were 74.55%(41/55)and 23.64%(13/55),respectively,and all differences were stat-istically significant(all P<0.05).Western blot analysis showed that SETDB1 protein expression was significantly higher in cancer tissues(72.89±5.27)%,compared to normal tissues of distant cancer(24.27±2.37)%.In contrast,TFF1 protein expressed was markedly lower in can-cer tissues(15.38±2.33)%than in normal tissues of distant cancer(72.72±4.48)%.All differences were statistically significant(all P<0.05).TFF1 methylation and SETDB1 expression were associated with lung adenocarcinoma(r=0.486,P<0.05).Both TFF1 methylation and SETDB1 expression were closely associated with tumor TNM stage,tissue differentiation,and lymph node metastasis(P<0.05).Furthermore,TFF1 methylation increased following SETDB1 downregulation(P<0.05).Conclusions:During lung adenocarcinoma progression,SETDB1 expres-sion correlates with TFF1 methylation,and the highly expressed SETDB1 may play a role in catalyzing TFF1 methylation.

Objective:To investigate the neuroprotective effects of ginsenoside Rb1 in neonatal mice with Hypoxic Ischemia(HI)and analyze its potential molecular mechanisms.Methods:Seven-day-old C57BL/6 neonatal mice were randomly assigned to three groups:Sham group,hypoxic-ischemic(HI)model group,and HI model+ginsenoside Rb1 intervention group(HI+Rb1),with 10 mice per group.The modified Rice-Vannucci method was used to establish the HI model,and ginsenoside Rb1(20 mg/kg)was administered via intraperitoneal injection for 7 consecutive days post-surgery(once per day).Brain damage was assessed on days 7 and 14 post-surgery by evaluating cortical neurons and glial cell numbers,as well as the activation status of the ERK signaling pathway.Additionally,in utero electroporation(IUE)was used to overexpress the ERK signaling pathway in the cortical neurons,and the impact of ERK activation on glial cell development was observed.Further,IUE was used to overexpress ERK in the cortex of P0 neonatal mice,fol-lowed by the HI model on day 7 to analyze the effects of enhanced ERK signaling on oligodendrocyte development and myelin regeneration.Results:Compared to the HI group,the HI+Rb1 intervention group showed significant improve-ment in motor ability,reduction in brain injury area,less mature neuron loss,and increased newborn neurons.Addi-tionally,the number of oligodendrocytes in the cortex was increased,and the activation of the ERK signaling pathway was enhanced.In mice with overexpression of the ERK signaling pathway in the cortex,there was a significant increase in oligodendrocytes.In the HI model with ERK overexpression,an increased number of oligodendrocyte precursor cells were found around the brain injury area,consistent with the results of ginsenoside Rb1 intervention.Conclusion:Gin-senoside Rb1 exerts neuroprotective effects in neonatal mice with hypoxic-ischemic brain injury,potentially through the enhancement of ERK signaling,promoting oligodendrocyte proliferation and myelin regeneration.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective:To establish an emergency support system for regional medical equipment,and provide intelligent auxiliary tools for turnover of medical equipment,and improve support capabilities of medical equipment.Methods:Data exchange mechanism among multiple entities and a collaborative deployment strategy with multi nodes were established based on distributed storage and blockchain technique.The open distributed storage system Ceph was adopted to establish a distributed storage structure.The functional departments in medical institutions was used as nodes of blockchain to form archive information of regional medical equipment.Aimed at the archive data of medical equipment,the digital verification information of blockchain for archive of medical equipment were generated so as to ensure data integrity and immutability.Using smart contract technique to embed archive management rules and turnover processes into code,so as to achieve automatic processing for emergency support of medical equipment.Based on the above research,web layered architecture was adopted to establish emergency support system of regional medical equipment based on distributed storage,in order to provide systematic platform support for emergency support of medical equipment under public health emergency.A total of 750 medical equipment of Beijing Daxing District People's Hospital were used as research objects.A distributed storage structure that was simulated was constructed through established and simulated 6 application nodes.Aimed at the decision task for emergency support of medical equipment,the manual decision-making and systematic decision-making were selected respectively to conduct comparative study.Results:Compared with expert decision-making,the coincidence rate of the strategy of emergency support,which was formulated by emergency support system of regional medical equipment based on distributed storage,could reach to 93.33%,which formulation duration was(0.11±0.03)s.It was significantly lower than manual decision-making time(15.21±2.65)s.Conclusion:The accuracy of deployment strategy of medical equipment closes to decision-making of expert,and its decision-making speed significantly increased,which contributes to improve the response speed and rescue level of medical emergency work.It can provide reference for establishing a medical distributed system.

Objective:To evaluate the effectiveness of a workshop-driven interactive teaching model in clinical alarm training for undergraduate nursing interns in the intensive care unit (ICU).Methods:A total of 120 undergraduate nursing students who interned in the ICU from November 2023 to April 2024 were enrolled and randomly assigned using a random number table into a control group ( n=60, traditional teaching) and an intervention group ( n=60, workshop-driven interactive teaching). Clinical alarm knowledge, attitudes, and practices (KAP); perception of patient safety culture; and training satisfaction were assessed before and after the training using validated questionnaires. Differences between groups were analyzed using independent sample t-test, paired sample t-test, chi-square test, and the Mann-Whitney U test with SPSS 22.0. Results:There were no significant differences between the two groups in clinical alarm KAP scores or patient safety culture perception scores before the training ( P>0.05). After the training, the intervention group showed significantly higher scores in clinical alarm KAP [(127.58±6.45) vs. (123.48±7.61), t=3.17, P=0.002] and patient safety culture perception [(99.44±9.17) vs. (95.45±12.03), t=-2.04, P=0.044] compared with the control group. Satisfaction with training content, teaching quality, and overall instructional design was significantly higher in the intervention group than in the control group ( P<0.05). Within-group comparisons showed that the intervention group had significant improvements in clinical alarm KAP [(127.58±6.45) vs. (120.10±10.25), t=-5.10, P<0.001] and patient safety culture perception [(99.44±9.17) vs. (94.46±12.12), t=-2.65, P=0.010] after training. No significant changes were observed in the control group after training ( P>0.05). Conclusions:The workshop-driven interactive teaching model can effectively enhance the clinical alarm KAP levels and patient safety culture perception among undergraduate nursing interns in the ICU. This teaching approach provides a scientific basis for optimizing clinical alarm education and cultivating high-quality nursing professionals.

Objective:To investigate the neuroprotective effects of ginsenoside Rb1 in neonatal mice with Hypoxic Ischemia(HI)and analyze its potential molecular mechanisms.Methods:Seven-day-old C57BL/6 neonatal mice were randomly assigned to three groups:Sham group,hypoxic-ischemic(HI)model group,and HI model+ginsenoside Rb1 intervention group(HI+Rb1),with 10 mice per group.The modified Rice-Vannucci method was used to establish the HI model,and ginsenoside Rb1(20 mg/kg)was administered via intraperitoneal injection for 7 consecutive days post-surgery(once per day).Brain damage was assessed on days 7 and 14 post-surgery by evaluating cortical neurons and glial cell numbers,as well as the activation status of the ERK signaling pathway.Additionally,in utero electroporation(IUE)was used to overexpress the ERK signaling pathway in the cortical neurons,and the impact of ERK activation on glial cell development was observed.Further,IUE was used to overexpress ERK in the cortex of P0 neonatal mice,fol-lowed by the HI model on day 7 to analyze the effects of enhanced ERK signaling on oligodendrocyte development and myelin regeneration.Results:Compared to the HI group,the HI+Rb1 intervention group showed significant improve-ment in motor ability,reduction in brain injury area,less mature neuron loss,and increased newborn neurons.Addi-tionally,the number of oligodendrocytes in the cortex was increased,and the activation of the ERK signaling pathway was enhanced.In mice with overexpression of the ERK signaling pathway in the cortex,there was a significant increase in oligodendrocytes.In the HI model with ERK overexpression,an increased number of oligodendrocyte precursor cells were found around the brain injury area,consistent with the results of ginsenoside Rb1 intervention.Conclusion:Gin-senoside Rb1 exerts neuroprotective effects in neonatal mice with hypoxic-ischemic brain injury,potentially through the enhancement of ERK signaling,promoting oligodendrocyte proliferation and myelin regeneration.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.