Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To explore the potential categories of transformation shock levels among newly employed nurses and their influencing factors, in order to provide references for implementing targeted interventions.Methods:In March and April 2024, a convenience sampling method was used to select 208 nurses undergoing standardized training at Beijing Tiantan Hospital, Capital Medical University, as the study subjects. The Transformation Shock Evaluation Scale, the Chinese Registered Nurse Core Competency Scale, and the Work Confidence and Ability Scale were used for data collection. Latent profile analysis was employed to identify the potential categories of transformation shock levels among newly employed nurses, and multinomial Logistic regression was used to analyze the influencing factors for different categories.Results:A total of 208 questionnaires were distributed, with 195 valid ones returned, yielding an effective response rate of 93.75%. The overall transformation shock score of the 195 newly employed nurses was (2.10±0.84), the career core competency score was (179.30±35.32), and the work confidence and ability score was (80.01±10.64). The transformation shock levels of the newly employed nurses were divided into four categories: high transformation shock-negative coping group (22.56%, 44/195), moderate transformation shock-psychological barrier group (29.23%, 57/195), lower transformation shock-high communication effectiveness group (36.41%, 71/195), and low transformation shock-high coping ability group (11.79%, 23/195). Logistic regression analysis showed that education level, clinical nursing ability, leadership, communication, critical thinking and research ability were influencing factors for the different categories of transformation shock levels among newly employed nurses ( P<0.05) . Conclusions:The transformation shock levels among newly employed nurses exhibit distinct categorical characteristics. Nursing education and management personnel should provide targeted training based on the influencing factors of different categories to reduce the level of transformation shock.

Objective:To explore the potential categories of transformation shock levels among newly employed nurses and their influencing factors, in order to provide references for implementing targeted interventions.Methods:In March and April 2024, a convenience sampling method was used to select 208 nurses undergoing standardized training at Beijing Tiantan Hospital, Capital Medical University, as the study subjects. The Transformation Shock Evaluation Scale, the Chinese Registered Nurse Core Competency Scale, and the Work Confidence and Ability Scale were used for data collection. Latent profile analysis was employed to identify the potential categories of transformation shock levels among newly employed nurses, and multinomial Logistic regression was used to analyze the influencing factors for different categories.Results:A total of 208 questionnaires were distributed, with 195 valid ones returned, yielding an effective response rate of 93.75%. The overall transformation shock score of the 195 newly employed nurses was (2.10±0.84), the career core competency score was (179.30±35.32), and the work confidence and ability score was (80.01±10.64). The transformation shock levels of the newly employed nurses were divided into four categories: high transformation shock-negative coping group (22.56%, 44/195), moderate transformation shock-psychological barrier group (29.23%, 57/195), lower transformation shock-high communication effectiveness group (36.41%, 71/195), and low transformation shock-high coping ability group (11.79%, 23/195). Logistic regression analysis showed that education level, clinical nursing ability, leadership, communication, critical thinking and research ability were influencing factors for the different categories of transformation shock levels among newly employed nurses ( P<0.05) . Conclusions:The transformation shock levels among newly employed nurses exhibit distinct categorical characteristics. Nursing education and management personnel should provide targeted training based on the influencing factors of different categories to reduce the level of transformation shock.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To build a nursing care plan decision-making support system based on the hospital's nursing information system and evaluate its effects in newly hired nurses.Methods:This study adopted a non-synchronous pre-post control design. Totally 181 newly hired nurses recruited by Beijing Tiantan Hospital, Capital Medical University, were selected by convenience sampling. The control group consisted of 85 new nurses hired in August 2021, while the intervention group consisted of 96 new nurses hired in August 2022. The control group received traditional training methods, while the intervention group received training through the nursing care plan decision-making support system in addition to the traditional methods. The nursing decision-making ability and the quality of specialty nursing care were compared between the two groups.Results:Finally, 81 nurses were included in the control group, and 93 nurses were included in the intervention group. The nursing decision-making ability score in the intervention group was (80.15±4.59), which was significantly higher than the (78.62±5.13) in the control group ( t=-2.080, P=0.039). The intervention group also had a significantly higher qualified rate of specialty nursing care compared to the control group (χ 2=6.626, P=0.036) . Conclusions:The application of the nursing care plan decision-making support system in the standardized training of newly hired nurses can improve their nursing decision-making abilities and the quality of specialty nursing care.

Objective:To explore the effect of standardized training and intelligent assessment system for nurses.Methods:In August 2020 and August 2021, convenience sampling was used to select new nurses who received standardized training at Beijing Tiantan Hospital affiliated with Capital Medical University as participants. Forty-two new nurses in August 2020 were designated as control group, and 42 new nurses in August 2021 were designated as intervention group and assessed through an intelligent assessment system. The assessment costs of two groups of nurses were compared.Results:Intervention group had shorter pre-exam preparation time, pre-exam waiting time, score summary time, and consumables costs compared to control group, and the differences were statistically significant ( P<0.05) . Conclusions:The construction of an intelligent assessment system improves the scientificity, effectiveness, and fairness of standardized training for nurses. Continuous improvement and perfection are still needed in the future.

Objective: To establish a nomograph model for prediction of cervical central lymph node metastasis (CLNM) among patients with thyroid papillary carcinoma (PTC), so as to provide the evidence for designing personalized treatment plans for PTC. Methods : The data of patients that underwent thyroidectomy and were pathologically diagnosed with PTC post-surgery in the Affiliated Traditional Chinese Medicine Hospital of Xinjiang Medical University from 2018 to 2021 were collected. Patients' data captured from 2018 to 2020 and from 2021 were used as the training set and the validation set, respectively. Predictive factors were screened using a multivariable logistic regression model, and the nomograph model for prediction of CLNM risk was established. The predictive value of the model was evaluated using the receiver operating characteristic (ROC) curve and the adjusted curve. Results: Totally 1 820 PTC cases were included in the training set, including 458 cases with CLNM (25.16%), and 797 cases in the validation set, including 207 cases with CLNM (25.98%). The prediction model is p=ey/(1+ey), y=0.761 + 0.525 × sex + (-0.039) ×age + 0.351 × extrathyroid invasion + 0.368 × neck lymph node enlargement + 1.021×maximum tumor diameter + (-0.009) × TT4 + (-0.001) × anti-TPOAb. The area under the ROC curve was 0.732 for the training set and 0.731 for the validation set, and Hosmer-Lemeshow test showed a good fitting effect (P=0.936, 0.722). Conclusion The nomograph model constructed in this study has a high predictive value for CLNM among patients with PTC.

OBJECTIVE To study the absorption characteristics of phenylpropanoids of Mongolian medicine Tabson-2 decoction(TBD) in Caco-2 cells and to preliminarily clarify the oral absorption mechanism of TBD. METHODS Caco-2 cell monolayer model was used to analyze the uptake components of TBD in Caco-2 cells by UPLC-MS/MS, and UPLC-MS/MS analysis method was established to determine the nine best absorbed components of TBD, protocatechuic acid, neochlorogenic acid, chlorogenic acid, cryptogenic acid, 1,5-dicaffeinate quinic acid, isochlorogenic acid C, caffeic acid, dihydrocaffeic acid, chlorogenic acid. The effects of time, concentration and P-glycoprotein inhibitor on the absorption of each component were investigated. RESULTS The overall intake of caffeic acid and dihydrocaffeic acid showed an upward trend in 0-180 min, and did not show saturation. The absorption of 3-hydroxycinnamic acid was constant at about 90 min and tended to saturation. The intakes of cryptochlorogenic acid, 1,5-dicaffeinate, quinic acid, isochlorogenic acid C, neochlorogenic acid, chlorogenic acid and protocatechuic acid first decreased and then increased with time from about 90 min. The addition of P-glycoprotein inhibitor verapamil and cyclosporin A had an effect on the absorption of dihydrocaffeic acid compared with the phenylpropanoid components, indicated that dihydrocaffeic acid was the substrate of P-glycoprotein. CONCLUSION The main phenylpropanoids of TBD enter Caco-2 mainly by passive diffusion, supplemented by active transport, and the absorption process of the other eight components is not affected by the efflux of P-glycoprotein except dihydrocaffeic acid.

Objective:To understand the reinfection rate of 2019-nCoV in the previously infected population in Suzhou and compare the illness severity and prognosis of the reinfection cases with the first-time infection cases.Methods:A questionnaire survey was conducted in the persons with previous 2019-nCoV infection reported in Suzhou from January 22, 2020 to November 8, 2022 to collect the information about the incidence of reinfection of 2019-nCoV in this population from December 8, 2022 to January 18, 2023. The persons who were infected with 2019-nCoV for the first time were selected by marching the residence, age and gender at ratio of 1∶2 from 2019-nCoV infection community follow-up cohort of Suzhou. By χ2 test, the clinical symptoms and prognosis of the reinfection case and the first-time infection cases were compared. Results:The reinfection rate of 2019-nCoV was 13.01% (147/1 130) in Suzhou. No reinfection was found within 1-6 months after the first-time infection, the rate of reinfection was 10.59% (95/897) in those with interval of 7-12 months between the reinfection and the first-time infection and 45.61% (52/114) in those with the interval ≥24 months. The lowest reinfection rate was 9.09% (1/11) in those who had completed 4 doses of 2019-nCoV vaccination. The main symptoms of the reinfection cases were similar to those of the first-time infection cases. Except for dry cough, nausea/poor appetite and other symptoms, there were significant differences in other clinical symptoms between the two groups ( P<0.05). In the reinfection cases, fever had shorter duration with lower body temperature. The hospital visit rate in the reinfection cases was 4.08% (6/147), lower than that in the cases with the first-time infection (11.56%, 34/294). The time for negative nucleic acid (antigen) test result and recovery from illness after the reinfection were shorter than those after the first-time infection. Conclusions:Reinfection occurred in some people who had been infected with 2019-nCoV. The interval between the reinfection and the first-time infection and the completion of the 4 doses of booster vaccination were the factors influencing the reinfection rate. The hospital visit rate in the reinfection cases was lower than that in the cases with the first-time infection. The reinfection had similar symptoms and shorter illness duration compared with the first-time infection.

Objective:To investigate the current situation of supportive care needs for patients with glioma after surgery and analyze its influencing factors.Methods:Using the convenient sampling method, a total of 168 postoperative patients with glioblastoma admitted to Beijing Tiantan Hospital Affiliated with Capital Medical University from January to May 2022 were selected as the research objects. The general information questionnaire, Supportive Care Need Survey-34-item Short Form (SCNS-SF34), M.D.Anderson Symptom Inventory Brain Tumor Module (MDASI-BT) and Cancer Fatigue Scale (CFS) were used to investigate them. The multiple linear regression analysis was used to explore the influencing factors of supportive care needs in patients with glioma after surgery.Results:The score for supportive care needs in 168 postoperative patients with glioblastoma was (71.68±25.28). The results of multiple linear regression analysis showed that place of residence, occupational status, degree of symptom distress and fatigue degree were the influencing factors for supportive care needs of glioma patients after surgery ( P<0.05) . Conclusions:Patients with glioma after surgery have unmet supportive care needs, which are influenced by their place of residence, work status, disease symptoms and fatigue levels. Medical staff provide personalized guidance to postoperative patients to help them cope with postoperative symptoms, reduce fatigue levels and meet their supportive care needs.