Adenosine, a critical molecule regulating cellular function both inside and outside cells, is controlled by two human adenosine deaminases: ADA1 and ADA2. While ADA1 primarily resides in the cytoplasm, ADA2 can be transported to lysosomes within cells or secreted outside the cell. Patients with ADA2 deficiency (DADA2) often suffer from systemic vasculitis due to elevated levels of TNF-α in their blood. Monocytes from DADA2 patients exhibit excessive TNF-α secretion and differentiate into pro-inflammatory M1-type macrophages. Our findings demonstrate that ADA2 localizes to endolysosomes within macrophages, and its intracellular concentration decreases in cells secreting TNF-α. This suggests that ADA2 may function as a lysosomal adenosine deaminase, regulating TNF-α expression by the cells. Interestingly, pneumonia patients exhibit higher ADA2 concentrations in their bronchoalveolar lavage (BAL), correlating with elevated pro-inflammatory cytokine levels. Conversely, cord blood has low ADA2 levels, creating a more immunosuppressive environment. Additionally, secreted ADA2 can bind to apoptotic cells, activating immune cells by reducing extracellular adenosine levels. These findings imply that ADA2 release from monocytes during inflammation, triggered by growth factors, may be crucial for cell activation. Targeting intracellular and extracellular ADA2 activities could pave the way for novel therapies in inflammatory and autoimmune disorders.
Humans ; Adenosine Deaminase/deficiency* ; Monocytes/cytology* ; Cell Differentiation ; Intercellular Signaling Peptides and Proteins/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Biomarkers/metabolism* ; Macrophages/metabolism* ; Pneumonia/metabolism*

Objective To investigate the current status of nurses'knowledge,attitude and practice regarding sleep management of critically ill children in pediatric ICU,and to analyze its impact factors.Methods A self-designed questionnaire on general information and a questionnaire on knowledge and practical behaviors of pediatric ICU nurses on child's sleep management were used.In March 2023,902 pediatric ICU nurses from 24 hospitals in China were surveyed using a convenient sampling method,and the impact factors were analyzed using multiple stepwise linear regression.Results 893 valid questionnaires were collected and the recovery rate of valid questionnaires was 99.00％.Nurses in pediatric ICU scored(33.71±7.76)in knowledge dimension,(37.38±4.86)in attitude dimension and(80.60±16.78)in practice dimension,with a total score of(151.78±24.27).The scores of knowledge and attitude,knowledge and practice,attitude and practice are all positively correlated(r=0.393,P＜0.001;r=0.495,P＜0.001;r=0.320,P＜0.001).The results of multiple stepwise linear regression analysis showed that gender,region,whether they had received sleep management training were the influencing factors of pediatric ICU nurses'total score of knowledge,attitude and practice towards children's sleep management(P＜0.05).Conclusion Nurses in pediatric ICU are positive about sleep management for critically ill children,but their knowledge and practice levels need to improve.Nursing managers should strengthen the theoretical knowledge and practical behavioral training of pediatric ICU nurses on child sleep management,develop scientific sleep management plans,and guide nurses to make reasonable evaluation and interventions to improve children's sleep quality.

Objective:To construct a program for improving care ability of caregivers for children with home enteral tube feeding (HETF) based on timing theory, and explore its preliminary effects.Methods:Based on the framework of timing theory and literature review, intervention measures to improve the care ability of caregivers for children with HETF were extracted and summarized to form a preliminary program draft. Fourteen caregivers with experience in caring for children with HETF were subjected to qualitative interviews to supplement the content of the program, and the program was revised through expert meetings to form the final draft. Non-synchronous control method was adopted, and 89 children with HETF and 89 caregivers of them admitted to the Children's Hospital of Fudan University from March 2022 to February 2023 were continuously included as study subjects. The children and their caregivers included from March to August 2022 were in control group ( n=42), and the children and their caregivers included from September 2022 to February 2023 were in intervention group ( n=47), and the plan was preliminarily applied. Family Caregiver Task Inventory (FCTI) was used to evaluate the impact of the program on improving caregiver care ability. Age specific body weight z-values, height specific body weight z-values, and complications were used to evaluate the impact of the program on the growth and development of children and the incidence of tube feeding complications. The data was collected at the time of enrollment and one, two, and three months after discharge. Results:There were 66 children who completed the whole study, including 33 children in the control group and the intervention group, and 33 caregivers in each group. The application results showed that the total score of FCTI in the intervention group decreased from (25.91±2.94) at enrollment to (5.85±2.60) at three months after discharge, while the total score of FCTI in the control group decreased from (26.12±4.34) at enrollment to (12.52±3.60) at three months after discharge, and the total score of FCTI in both groups decreased over time. At one, two, and three months after discharge, the total FCTI score of the intervention group was lower than that of the control group, and the difference was statistically significant ( P<0.05). At three months after discharge, the incidence of complications in children with HETF in the intervention group was lower than that in the control group with a statistical difference ( P<0.05) . Conclusions:The program for improving care ability of caregivers for children with HETF based on timing theory is scientific and provides basis for the management of home tube feeding of children.

Objective To explore the utility of CT for the evaluation of abdominal aortic calcification(AAC)in chronic kidney disease(CKD).Methods Laboratory examination indexes and abdominal plain CT imaging of 132 CKD stage 3-5 patients were analyzed retrospectively.The ACC score was evaluated according to quantitative method,the risk factors related to AAC were analyzed.Results In correlation analyses,AAC score was positively correlated with creatinine(Cr)level,CO2 combining power(P＜0.05),and negatively corrected with albumin(ALB).Logistic regression analysis showed that Cr level were risk factors for AAC,and ALB were protective factors.Conclusion Based on abdominal plain CT images,Cr level,CO2 combining power and ALB level are related to AAC.Quantitative method based on CT has a high application value in evaluating AAC.

Objective To retrieve,appraise and integrate the relevant evidence of non-pharmacological sleep management measures in critically ill children.Methods We conducted a systematical search on the topic of non-pharmacological sleep management measures in critically ill children across multiple databases,including BMJ best practice,UpToDate,International Guidelines International Network,National Institute for Health and Care Excellence,Scottish Intercollegiate Guidelines Network,Registered Nurses'Association of Ontario,Joanna Briggs Institute Library,the American Academy of Sleep Medicine,International Pediatric Sleep Association,CNKI,WanFang database,VIP database,SinoMed,Cochrane Library,PubMed,Web of Science,and CINAHL.The literature retrieval time limit was from the establishment of the database to February 2023.The study design includes clinical practice guideline,evidence summary,clinical decision-making,expert consensus,and systematic review.The evidence was extracted and summarized according to the subject after the independent literature quality evaluation by 2 researchers.Results 10 relevant pieces of literature were identified,including 2 guidelines,1 consensus statement,4 systematic reviews,2 evidence summaries,and 1 top clinical decision.These sources provided a total of 28 pieces of evidence across 5 key themes,including sleep assessment,management principles and education,environmental management and sleep promotion.Conclusion This study summarizes the best available evidence on non-pharmacological sleep management measures in critically ill children.It is recommended that healthcare professionals should consider the clinical context when implementing evidence-based interventions,aiming to reduce nocturnal awakenings,extend sleep duration,and improve sleep quality in critically ill children.

Objective:To evaluate the effectiveness of Evidence-based Nursing Practice Guideline for Enteral Nutrition of Infants with Congenital Heart Disease application on improving the nutritional status of infants with congenital heart disease (CHD) in the target population, and to explore the effective strategies of evidence implementation in the process of dissemination, implementation and integration into clinical practice. Methods:This was an implementation study. Promoting Action on Research Implementation in Health Services Integrated Framework (i-PARIHS) was used as a theoretical model. Infants with CHD who received cardiac surgery from the heart ICU of Children ′s Hospital of Fudan University from January 2019 to February 2020 were selected as the study subjects. January to June 2019 and September to February 2020 were the pre and post implementation phase respectively. For medical staff, communication strategy, implementation process strategy, integration strategy and capacity-building strategy were used to advance the implementation process. According to the implementation strategy of children, the 26 best practice recommendations in the guide were translated into operable nursing processes and enteral nutrition programs, which were implemented in four stages: admission to the hospital, pre operation, post operation cardiac care room, post operation ward recovery, and pre discharge. Implementation Results Variable Assessment Form was used to evaluate effectiveness of the implementation strategies; hospitalization weight and upper arm circumference, serum albumin and pre-albumin before discharge were used to evaluate effectiveness of the interventions. Results:Scores of eight aspects of Implementation Results Variable Assessment reached more than 75% of the total score. Pre-albumin of post-implementation was (166.53 ± 42.57) g/L, which was statistically significantly higher than (148.41 ± 30.66) g/L before discharge ( t=-3.21, P<0.01); the weight loss of pre-implementation was 0.00 (0.41) kg, while the weight change of post-implementation was -0.10 (0.40) kg, the difference was statistically significant ( Z=-2.90, P<0.01). Conclusions:The strategies of diffusing, implementing, integrating the CHD enteral nutrition protocol based on guide could improve the implementation results and the nutrition status of infants with CHD.

Through systematic review of literature, Delphi expert consultation and expert discussion meeting, the Nursing expert consensus on application of cardiopulmonary resuscitation machine in treating patients with in- hospital cardiac arrest was formulated. Finally, 8 parts of the application specifications including evaluation before boarding, cooperation during boarding, detection and management after boarding, cooperation during weaning, quality control and training, and fault handling were formed, in order to provide guidance and reference for the application of cardiopulmonary resuscitation machine in treating patients with in-hospital cardiac arrest.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Objective:To explore whether the inequality of economic development in different provinces in China leads to differences in pediatric nurses ′ health education literacy and to analyze related factors affecting pediatric nurses ′ health education literacy. Methods:Self-designed and tested online questionnaire of competencies in health education (scoring scale 10-50) were distributed to pediatric nurses in China in October 2018. We examined the influencing factors of competencies in health education and its relationship with the province-level data on gross domestic product (GDP) per capita.Results:A total of 15 443 pediatric nurses from 31 provinces were eligible for the analysis. At the regional of GDP per capital over than 20 000 US dollars, 15 000 to 20 000 US dollars, 10 000 to 14 900 US dollars and less than 10 000 US dollars, the health education literacy scores were 40.76±4.52, 40.66±4.08, 40.50± 4.02 and 39.69±4.32 respectively. Significant difference was found between the competencies in health education of pediatric nurses and provinces with different GDP per capita ( F value was 9.21, P<0.001). Regression and hierarchical analysis models based on GDP per capita showed that: nurses with senior professional titles, bachelor degrees or above, aged over 40, and those working in emergency rooms have higher competencies in health education ( OR value was 0.296-4.766, P<0.05) . Lower competencies in health education were demonstrated on nurses who have been working less than 5 years ( OR value was 0.319, P<0.05). Conclusions:Economic development is one of the main factors that affect the competencies in health education of pediatric nurses in China. Pediatric nurses who were young, had limited working experience, with low office titles, with low education background, and who working at non-emergency rooms require more training.

OBJECTIVE：To optim ize ethanol extraction technology of Mongolian medicine Naru- 3. METHODS ：The L 9（34） orthogonal design was used to optimize ethanol extraction technology of Mongolian medicine Naru- 3 with solid-liquid ratio ，ethanol volume fraction and extraction time as factors ，using comprehensive scores for the contents of benzoylaconitine ，benzoylneoaconitine， benzoylhypoaconitine，aconitine，neoaconitine，hypoaconitine，piperine and gallic acid as indexes. RESULTS ：The optimal ethanol extraction technology was that solid-liquid ratio of 1∶10（g/mL），ethanol volume fraction of 75％，extracting for 1.5 h. After 3 times of validation tests ，average contents of above 8 components in ethanol extract from Naru- 3 were 1.69，1.48，14.69，0.28， 0.05，0.08，26.01，17.33 mg/g（RSDs were 0-4.96％，n＝3），respectively. Average comprehensive score was 19.03（RSD＝1.42％， n＝3）. CONCLUSIONS ：The optimal ethanol extraction technology of Mongolian medicine Naru- 3 is stable and feasible.