Objective:To investigate the correlation between rectal colonization of carbapenem resistant Klebsiella pneumoniae（CRKP）and bloodstream infections（BSI）using molecular epidemiological analysis. Methods:Patients admitted to the Intensive Care Unit（ICU），Hematology Department，and Neurosurgery Department of the First Hospital of Jiaxing from January 2022 to December 2024，were enrolled. Rectal CRKP colonization screening was performed for all participants，with concurrent monitoring for BSI.Whole genome sequencing of CRKP strains in the intestine and blood flow of patients with CRKP rectal colonization and CRKP-BSI was performed using the Illumina NovaSeq PE150 sequencing platform，and samples were genotyped based on the PubMLST database. MLST 2.0 was applied for multi site sequence typing，VFDB online database was used to analyze virulence genes，ResFinder was used to analyze resistance genes，and whole genome sequences were imported into BioNumerics software for core genome multi site sequence typing and clustering analysis. Using the BacWGSTdb database to construct a phylogenetic tree based on genomic SNPs，and the homology between CRKP rectal fixed plants and corresponding BSI-CRKP infected plants were analyzed.Results:A total of 772 patients were included，including 78 cases with positive results in rectal CRKP colonization screening（10.1%）and 694 cases without rectal CRKP colonization（89.9%）. The CRKP-BSI rate in rectal CRKP colonization patients was significantly higher than that in non-CRKP colonization patients［19.2%（15/78） vs. 5.5%（38/694）， χ2=20.749， P<0.001］. Analysis of CRKP rectal colonization strains and bloodstream infection strains in 15 patients with CRKP rectal implantation and CRKP-BSI revealed that ST11 type was the main strain（ n=10），followed by ST37 type（ n=3），with all carrying multiple β-lactam and carbapenem producing enzyme resistance genes.The distribution of virulence genes showed that CRKP strains carried multiple virulence genes，with iroE being ubiquitous，followed by iucA/ B/ C/ D， rmpA2，rmpA，and iroN. All ST11-type CRKP strains exhibited hypervirulent characteristics. Capsular serotyping analysis showed that the predominant type of CRKP colonization and infection strains was KL64. The results of cgMLST and SNP clustering analysis showed that CRKP rectal fixed plants exhibited homology with blood flow infected plants. Moreover，two clusters of CRKP rectal colonization strains with significant homology were found to cluster together among 15 patients. Conclusions:Rectal colonization of CRKP is an important risk factor for the occurrence of BSI-CRKP in hospitals，and ST11 hypervirulent CRKP is the main type. It is recommended to screen high-risk patients for CRKP to reduce the risk of BSI-CRKP.

ObjectiveTo explore the construction of a risk assessment indicator system for common infectious diseases in Shanghai’s childcare institutions, and to provide a reference standard for the prevention and control of infectious diseases, staff training and system construction in childcare institutions. MethodsBy combining the Delphi method with the literature review and expert consultation, the hierarchical dimensions and items at all levels of the risk assessment indicator system for common infectious diseases in Shanghai’s childcare institutions were constructed, and the weighting coefficients were determined by analytic hierarchy process. ResultsA total of 14 experts from the field of childcare institutions, infectious disease control, child healthcare and health supervision participated in the Delphi consultation. The system consisted of four core dimensions: organizational management, team building, hardware equipment, and infectious disease surveillance and disposal, with the weighting coefficients of 0.285 9, 0.261 6, 0.204 3 and 0.248 2, respectively. The evaluation indicator system consisted of 4 primary indicators, 15 secondary indicators and 45 tertiary items. The positivity coefficients of the two rounds of Delphi consultation were 0.93 and 1.00, the authority coefficients were both 0.81, and the Kendall’s coefficient of concordance were 0.44 and 0.49, respectively (P<0.01). ConclusionThe high expert engagement and coordination indicate that organizational management and team building remain the critical priorities for infectious disease prevention and control in Shanghai’s childcare institutions. It is recommended to strengthen financial investment, improve institutional mechanisms, and enhance personnel reserves and capacity building for healthcare teachers, thereby systematically upgrading the infectious disease control capabilities of childcare institutions.

OBJECTIVE To standardize the main processes and related technical links of the clinical comprehensive evaluation of drugs， and provide guidance and reference for improving the quality of comprehensive evaluation evidence and its transformation and application value. METHODS The construction of Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs was based on the standard guideline formulation method of the World Health Organization （WHO）， strictly followed the latest definition of guidelines by the Institute of Medicine of the National Academy of Sciences of the United States， and conformed to the six major areas of the Guideline Research and Evaluation Tool Ⅱ. Delphi method was adopted to construct the research questions； research evidence was established by applying the research methods of evidence-based medicine. The evidence quality classification system of the Chinese Evidence-Based Medicine Center was adopted for evidence classification and evaluation. The recommendation strength was determined by the recommendation strength classification standard formulated by the Oxford University Evidence-Based Medicine Center， and the recommendation opinions were formed through the expert consensus method. RESULTS & CONCLUSIONS The Guideline for the Workflow of Clinical Comprehensive Evaluation of Drugs covers 4 major categories of research questions， including topic selection， evaluation implementation， evidence evaluation， and application and transformation of results. The formulation of this guideline has standardized the technical links of the entire process of clinical comprehensive evaluation of drugs， which can effectively guide the high-quality and high-efficient development of this work， enhance the standardized output and transformation application value of evaluation evidence， and provide high-quality evidence support for the scientific decision-making of health and the rationalization of clinical medication.

To investigate the current status of sleep quality among nurses in tertiary hospitals in China, analyze the correlations of work stress and perceived organizational support with the risk of sleep problems, and further examine the mediating effect of perceived organizational support between work stress and sleep problems in nurses.

Objective: To analyze the results of national external quality assessment (EQA) for transfusion compatibility test from 2018 to 2023, with the aim of providing references for improving laboratory testing quality and ensuring the safety of clinical blood transfusion. Methods: Three EQA programs were conducted annually, each distributing 22 quality assessment samples. Participating transfusion laboratories were required to complete testing within specified deadlines and to submit results along with documentation of testing methodologies, reagents, and equipment used. National Center for Clinical Laboratories (NCCL) conducted statistical analysis of laboratory results, evaluated testing outcomes and related circumstances, and provided feedback to participating laboratories. EQA data from transfusion laboratories across China from 2018 to 2023 were collected and systematically analyzed. Results: From 2018 to 2023, the qualification rates for all five items (ABO forward typing, ABO reverse typing, Rh blood group typing, antibody screening, and cross-matching) were 67.59%, 77.11%, 77.38%, 72.78%, 79.96%, and 85.16%, respectively. The mean qualification rates for ABO forward typing, ABO reverse typing, RhD blood group typing, antibody screening, and cross-matching over the past six years were 96.25%±0.59%, 90.45%±4.52%, 96.05%±0.71%, 90.88%±2.86%, and 88.34%±3.48%, respectively. The qualification rates in 2019, 2020, 2022, and 2023 all showed a stable trend of "blood stations>tertiary hospitals>secondary hospitals". The mean qualification rate of laboratories in secondary hospitals from 2018 to 2023 was significantly lower than those of laboratories in tertiary hospitals and blood stations (P<0.05), while no significant difference was observed between laboratories in tertiary hospitals and blood stations (P>0.05). The micro column agglutination method was the most widely used in all five tests. In the four test items, namely ABO forward typing, ABO reverse typing, antibody screening, and cross-matching, there was a statistically significant difference in the qualification rate of micro column agglutination method compared to other methods (P<0.05). There was a statistical difference in the qualification rate between manual and automated detection using micro column agglutination method in the cross-matching tests (P<0.05), whereas no significant difference was noted for the other test items (P>0.05). Conclusion: From 2018 to 2023, the number of laboratories participating in EQA activities has been increasing year by year, and the qualification rate has shown an overall upward trend. The type of laboratory is a key factor affecting the qualification rate, and the testing capabilities of some laboratories still need to be improved. The micro column agglutination method is widely used in transfusion compatibility tests. The established EQA program effectively monitors quality issues in laboratories, drives continuous improvement, and ensures sustained enhancement of testing standards to safeguard clinical blood safety.

Objective:To analyze the results of national external quality assessment (EQA) for transfusion compatibility test in 2023, and provide reference for quality management of clinical transfusion compatibility testing.Methods:The EQA of clinical transfusion compatibility testing by NCCL was performed 3 times in 2023 among included laboratories. The panel consisting of 22 samples was distributed to 4 186 laboratories across 31 provinces (Including 2 961 tertiary hospital laboratories, 1 085 secondary hospital laboratories, 23 primary hospital laboratories, 106 blood station laboratories and 11 independent clinical laboratories). Each panel contains 11 red blood cell and 11 plasma samples per 1.5 ml/tube. Each participant laboratory of the EQA program was required to carry out the detection and return results in expected time. Statistical analysis and evaluation on the reported results were conducted by NCCL from the aspects of regional distribution, laboratory grading, testing methodology, reagent and testing system usage.Results:The qualification rates of EQA for five items including ABO positive typing, ABO reverse typing, RhD blood type, antibody screening, and cross matching were 96.68%, 95.10%, 96.46%, 95.32%, and 91.04%, respectively. The EQA qualification rate of tertiary hospital laboratories was 87.77% (2 599/2 961), which was significantly higher than the 77.79% (844/1 085) of secondary hospital laboratories. There were significant differences in the qualification rate of participating laboratories among different regions. The utilization rates of micro column agglutination method in ABO positive typing, ABO reverse typing, RhD blood type, antibody screening, and cross matching were 80.81% (10 080/12 474), 75.06% (9 337/12 440), 81.38% (10 118/12 433), 89.59% (11 104/12 394) and 76.25% (9 495/12 453), respectively. The qualification rate of micro column agglutination method was significantly higher than that of saline slide method in ABO positive typing detection ( P<0.05). The qualification rate of micro column agglutination method was significantly higher than that of the polyamine method and anti-human globulin test tube method in antibody screening ( P<0.05). There were statistically significant differences in qualification rate of 7 reagents in ABO reverse typing, antibody screening and cross matching ( P<0.05). There was no statistically significant difference in the qualification rate between the two detection systems for other reagents, except for the ABO reverse typing where the qualification rate of reagent 1 in a single system was higher than that in a mixed system ( P<0.05). Conclusion:The testing capabilities of clinical laboratories in different regions and different type varied significantly in China. Micro column agglutination method was the most popular selection in transfusion compatibility testing. The regents used in these laboratories showed good performance. However, the detection efficiency of some reagents still need to be improved. EQA could be used to evaluate, monitor, and improve the quality of testing.

Objective:To analyze the results of national external quality assessment (EQA) for transfusion compatibility test in 2023, and provide reference for quality management of clinical transfusion compatibility testing.Methods:The EQA of clinical transfusion compatibility testing by NCCL was performed 3 times in 2023 among included laboratories. The panel consisting of 22 samples was distributed to 4 186 laboratories across 31 provinces (Including 2 961 tertiary hospital laboratories, 1 085 secondary hospital laboratories, 23 primary hospital laboratories, 106 blood station laboratories and 11 independent clinical laboratories). Each panel contains 11 red blood cell and 11 plasma samples per 1.5 ml/tube. Each participant laboratory of the EQA program was required to carry out the detection and return results in expected time. Statistical analysis and evaluation on the reported results were conducted by NCCL from the aspects of regional distribution, laboratory grading, testing methodology, reagent and testing system usage.Results:The qualification rates of EQA for five items including ABO positive typing, ABO reverse typing, RhD blood type, antibody screening, and cross matching were 96.68%, 95.10%, 96.46%, 95.32%, and 91.04%, respectively. The EQA qualification rate of tertiary hospital laboratories was 87.77% (2 599/2 961), which was significantly higher than the 77.79% (844/1 085) of secondary hospital laboratories. There were significant differences in the qualification rate of participating laboratories among different regions. The utilization rates of micro column agglutination method in ABO positive typing, ABO reverse typing, RhD blood type, antibody screening, and cross matching were 80.81% (10 080/12 474), 75.06% (9 337/12 440), 81.38% (10 118/12 433), 89.59% (11 104/12 394) and 76.25% (9 495/12 453), respectively. The qualification rate of micro column agglutination method was significantly higher than that of saline slide method in ABO positive typing detection ( P<0.05). The qualification rate of micro column agglutination method was significantly higher than that of the polyamine method and anti-human globulin test tube method in antibody screening ( P<0.05). There were statistically significant differences in qualification rate of 7 reagents in ABO reverse typing, antibody screening and cross matching ( P<0.05). There was no statistically significant difference in the qualification rate between the two detection systems for other reagents, except for the ABO reverse typing where the qualification rate of reagent 1 in a single system was higher than that in a mixed system ( P<0.05). Conclusion:The testing capabilities of clinical laboratories in different regions and different type varied significantly in China. Micro column agglutination method was the most popular selection in transfusion compatibility testing. The regents used in these laboratories showed good performance. However, the detection efficiency of some reagents still need to be improved. EQA could be used to evaluate, monitor, and improve the quality of testing.

Objective:To investigate the correlation between rectal colonization of carbapenem resistant Klebsiella pneumoniae（CRKP）and bloodstream infections（BSI）using molecular epidemiological analysis. Methods:Patients admitted to the Intensive Care Unit（ICU），Hematology Department，and Neurosurgery Department of the First Hospital of Jiaxing from January 2022 to December 2024，were enrolled. Rectal CRKP colonization screening was performed for all participants，with concurrent monitoring for BSI.Whole genome sequencing of CRKP strains in the intestine and blood flow of patients with CRKP rectal colonization and CRKP-BSI was performed using the Illumina NovaSeq PE150 sequencing platform，and samples were genotyped based on the PubMLST database. MLST 2.0 was applied for multi site sequence typing，VFDB online database was used to analyze virulence genes，ResFinder was used to analyze resistance genes，and whole genome sequences were imported into BioNumerics software for core genome multi site sequence typing and clustering analysis. Using the BacWGSTdb database to construct a phylogenetic tree based on genomic SNPs，and the homology between CRKP rectal fixed plants and corresponding BSI-CRKP infected plants were analyzed.Results:A total of 772 patients were included，including 78 cases with positive results in rectal CRKP colonization screening（10.1%）and 694 cases without rectal CRKP colonization（89.9%）. The CRKP-BSI rate in rectal CRKP colonization patients was significantly higher than that in non-CRKP colonization patients［19.2%（15/78） vs. 5.5%（38/694）， χ2=20.749， P<0.001］. Analysis of CRKP rectal colonization strains and bloodstream infection strains in 15 patients with CRKP rectal implantation and CRKP-BSI revealed that ST11 type was the main strain（ n=10），followed by ST37 type（ n=3），with all carrying multiple β-lactam and carbapenem producing enzyme resistance genes.The distribution of virulence genes showed that CRKP strains carried multiple virulence genes，with iroE being ubiquitous，followed by iucA/ B/ C/ D， rmpA2，rmpA，and iroN. All ST11-type CRKP strains exhibited hypervirulent characteristics. Capsular serotyping analysis showed that the predominant type of CRKP colonization and infection strains was KL64. The results of cgMLST and SNP clustering analysis showed that CRKP rectal fixed plants exhibited homology with blood flow infected plants. Moreover，two clusters of CRKP rectal colonization strains with significant homology were found to cluster together among 15 patients. Conclusions:Rectal colonization of CRKP is an important risk factor for the occurrence of BSI-CRKP in hospitals，and ST11 hypervirulent CRKP is the main type. It is recommended to screen high-risk patients for CRKP to reduce the risk of BSI-CRKP.

Objective The DNA methylation microhaplotype(DMH)refers to the combination of multiple methylation sites within a very short range,and these haplotypes show wide diversity.We carried out screening and validation of age-related DMHs in mouse blood.Methods We initially constructed a theoretical dataset of DMHs based on the mouse reference genome.We then screened age-related DMHs by Spearman's rank correlation analysis,using high-throughput sequencing information for DNA methylation in mouse blood from a network database.Finally,cross-validation was performed using a validation dataset.Results A total of 6787 142 DMH sites were identified within 50 bp in the mouse genome,including 98.64%of single-digit CpG sites.A total of 5835 age-associated DMHs were screened in 58 mouse blood samples(|rho|＞0.5,P＜0.01),accounting for 0.086%of DMHs.Finally,we validated the top 100 age-associated DMHs with high correlation in 95 independent samples,Resultsing in 44 loci.Conclusions The age-associated DMHs screened in this study may be useful in future studies of apparent age prediction using mouse blood and in aging studies.

Objective To obtain the monitoring measurement range of quality indicators of red blood cells,plasma and derivatives and leukocyte-reduced apheresis platelets provided by blood stations in Hebei province,explore the distribution of monitoring values and the change of monitoring level,so as to further strengthen the homogenization construction of quality control laboratories in blood stations in Hebei.Methods In 2023,the sampling data of 12 blood stations in Hebei from 2015 to 2022 were collected,scatter plots were made and the range markers were set,and the"mean±SD"line was taken as the upper limit and lower limit of the measurement range.In 2024,the monitoring values in 2023 were added,and the changes of two measurement ranges were compared to analyze the stability and overall level.Results Comparison of the measurement range from 2015 to 2022 and the measurement range from 2015 to 2023 showed that the standard deviation of the content of deleukocyte suspension of red blood cells-hemoglobin,washed erythrocyte-hemoglobin,washed erythrocyte-su-pernatant protein,cryoprecipitate coagulation factor-FⅧ,fresh frozen plasma-FⅧ,leukocyte-reduced apheresis platelets-leukocyte residue and leukocyte-reduced apheresis platelet-red blood cell concentration decreased from 8.132 to 7.993,6.252 to 6.104,0.273 to 0.267,57.506 to 56.276,0.920 to 0.892,0.653 to 0.644 and 2.653 to 2.603,respectively.The narrowing of the standard deviation range of the above items led to more concentrated monitoring values and reduced disper-sion.Comparison of the measurement range from 2015 to 2022 and the measurement range from 2015 to 2023 showed that the mean value of leukocyte residue of the deleukocyte suspension of red blood cells,hemoglobin content of the wash eryth-rocyte,protein content of supernatant of the wash erythrocyte,hemolysis rate of the wash erythrocyte,FⅧ content of the cryoprecipitate coagulation factor,plasma protein content of the fresh frozen plasma,FⅧ content of the fresh frozen plasma,platelet content of the leukocyte-reduced apheresis platelets changed from 0.362 to 0.476,44.915 to 44.861,0.280 to 0.283,0.137 to 0.142,133.989 to 133.271,60.262 to 60.208,1.301 to 1.277 and 3.036 to 3.033,respectively,and was closer to the national standard line,which reflects an increase in the number of unqualified monitoring values or values close to the national standard line in 2023.The long-term qualified rate of coagulation items was low,and no improvement has been ob-served.The stability of biochemical items has been enhanced but overall deviation has occurred,with the average value close to the national standard line.The possibility of subsequent testing failure has increased.The counting items showed no obvi-ous common characteristics.Conclusion The use of"mean±SD"in the analysis can visually display the distribution of mo-nitoring values of different items in Hebei,forming an indicator measurement range covering the past nine years.It shows the characteristics of each item,and provides reference for subsequent quality control laboratory data analysis of each blood sta-tions to takes active measures to improve the monitoring level.