Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

Objective To investigate the main pharmacological basis and mechanism of action of Guhuaisi Kangfu Pill(GHSKF)in the treatment of steroid-induced osteonecrosis of the femoral head(SONFH).Methods The active constituents and targets of GHSKF were screened by using Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and other databases.The speculative targets of SONFH were screened out based on GeneCards and Online Mendelian Inheritance in Man(OMIM)databases.The gene modules and hub genes of SONFH were identified using a weighted gene co-expression network analysis(WGCNA).The intersection of the two targets and the result of WGCNA was taken to obtain the potential targets of GHSKF for the treatment of SONFH.The key active constituents were screened with the"active constituent-target"network,which was constructed by the Cytoscape software.Then,the STRING database was used to construct the protein interaction network to screen the key targets.The Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis of key targets was performed,and the relationship between key active constituent,key targets and key signaling pathways was explored.Finally,the molecular docking between key active constituents and key targets was verified.In addition,the SONFH rat model was used for experimental verification.Results A total of 146 compounds and the corresponding 346 targets were identified based on the TCMSP database.A total of 4 187 targets of SONFH were obtained based on GeneCards and OMIM databases.In addition,twelve gene modules and 2 556 hub genes of SONFH were screened out based on WGCNA.Quercetin,luteolin and kaempferol were key active ingredients for the treatment of SONFH.Various signaling pathways such as PI3K/AKT were involved.Molecular docking showed the key active ingredients had good binding activity with the key targets.The results of animal experiments demonstrated that GHSKF could improve bone biological alterations by up-regulating AKT1,PI3K,RUNX2,and down-regulating the expression of Caspase-3 and IL-6(P＜0.01),which verified some results of the network pharmacology prediction.Conclusion We analyzed the potential mechanism of action of GHSKF for the treatment of SONFH using network pharmacology and animal experiments,which may provide a reference for further research on its pharmacological basis and targets.

Objective To understand the proficiency level and sources of Traditional Chinese Medicine(TCM)health education among hemodialysis patients,in order to provide the basis for promoting the application of TCM nursing in hemodialysis patients.Methods Utilizing a convenience sampling approach,we conducted a survey from April to May 2023 involving hemodialysis patients from 7 tertiary TCM hospitals across Beijing,Hebei Province,Sichuan Province,and other regions.Custom-made questionnaires were utilized,gathering general information,respons-es conceming the level of mastery on TCM health education,and their primary sources of such knowledge.Results A total of 413 questionnaires were disseminated,and 392 proved valid,yielding a valid response rate of 94.92％.The score of patient's knowledge on TCM health education averaged(8.25±3.73),and an average score rate of 48.53％was obtained.In the patients undergoing hemodialysis,a relatively larger number of people possess knowl-edge of TCM health knowledge about relieving symptoms(50.8％～55.9％)and traditional Chinese daily life routines(56.4％～90.1％).However,fewer people are aware of how to use the five-tone therapy method for emotional inter-vention(40.8％)and principle of taking restorative Traditional Chinese Medicine(24.5％～36.7％),the dietary prin-ciples of"nurturing yang in spring and summer,and nurturing yin in autumn and winter"(14.3％),and theories of TCM kidney functions(9.9％).Approximately 23.0％of the patients sourced their TCM health education knowledge from new media platforms.Compared with new media method alone,patients who utilized only traditional education-al platforms(P=0.020),and those who combined both new media and traditional methods(P=0.018)demonstrated higher proficiency in TCM health education.Conclusion Hemodialysis caregivers are urged to develop a TCM health education framework that emphasizes emotional well-being and traditional wellness concepts,thereby fostering patient-centric TCM health ideologies.Hemodialysis education personnel are encouraged to leverage new media whilst ensuring education quality and effective outcomes.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective To develop an MRI-based habitat radiomics model for the preoperative prediction of endometrial cancer(EC)molecular subtypes.Methods Patients with pathologically proven EC from two hospitals were included in the training(n=270)and testing(n=70)cohorts.All patients had preoperative MRI and histological and molecular diagnoses.First,the tumor was divided into habitat subregions based on diffusion-weighted imaging(DWI)and contrast-enhanced(CE)images.Subsequently,habitat radiomic features were extracted from different subregions of T1-weighted imaging(T1WI),T2-weighted imaging(T2WI),DWI,and CE images.Three machine learning classifiers,including logistic regression,support vector machines,and random forests,were applied to develop predictive models for p53-abnormal endometrial cancer,with model performance validated.The model demonstrating the best overall predictive performance was selected as the habitat radiomics model.Using the same procedure,a whole-region radiomics model based on T1WI,T2WI,DWI,and CE sequences and a clinical model were constructed.The performance of the models was evaluated using receiver operating characteristic curves,and DeLong's test was employed to compare differences between the models.Decision curve analysis was used to assess the clinical benefits of the models'application.Results After feature selection,eight habitat radiomic features were retained to construct the habitat radiomics model,ten features for the whole-region radiomics model,and three clinical features for the clinical model.The habitat radiomics model achieved the highest area under the curve(AUC),with 0.855(0.788-0.922)in the training cohort and 0.769(0.631-0.907)in the testing cohort.DeLong's test showed that the habitat radiomics model outperformed the whole-region radiomics model in the training cohort(P=0.001),but there was no significant difference in the testing cohort(P=0.543).In both cohorts,the habitat radiomics model outperformed the clinical model(P=0.007,training cohort;P=0.038,testing cohort).Decision curve analysis(DCA)demonstrated that this model provided clinical benefit for diagnosis within a threshold probability range of approximately 0.2-0.8.Conclusion The MRI-based habitat radiomics model can accurately predict p53-abnormal EC,outperforming both the whole-region radiomics model and the clinical model,and is useful for the non-invasive molecular subtyping of endometrial cancer before surgery.

Objective To observe the therapeutic effect and mechanism of Guhuaisi Kangfu Pills on rats with steroid-induced osteonecrosis of the femoral head(SONFH).Methods Sixty rats were randomly divided into blank group,model group,Xianling Gubao Capsules group and Guhuaisi Kangfu Pills low-,medium-and high-dose groups,10 rats in each group.Except for the blank group,the SONFH model was established by lipopolysaccharide combined with Glucocorticoid induction method in all other groups of rats.At the end of the intervention,for the femoral head,blood vessel radiography was performed to observe the microvascular changes in the bone marrow,and hematoxylin-eosin(HE)staining and calculation of the empty bone trap rate,Micro-CT scanning analysis,and compression experiments were carried out,and the real-time quantitative polymerase chain reaction(RT-qPCR)was used to detect the gene expressions of phosphatidylinositol 3-kinase(PI3K),protein kinase B(Akt)1,vascular endothelial growth factor(VEGF)and platelet endothelial cell adhesion molecule 1(CD31)in whole blood.Results Compared with the blank group,the blood supply in the femoral head medullary cavity of the model group was poor,the empty bone lacuna rate was increased(P＜0.05),the bone mineral density and bone volume fraction were significantly decreased(P＜0.05),the maximum load and elastic modulus of the femoral head were decreased(P＜0.05),and the mRNA expression levels of Akt1,PI3K,VEGF and CD31 in whole blood were decreased(P＜0.05).Compared with the model group,the blood supply in the femoral head medullary cavity was relatively good,the empty bone lacuna rate was decreased(P＜0.05),the bone mineral density,bone volume fraction,trabecular number and trabecular thickness were significantly increased(P＜0.05),the trabecular separation was significantly decreased(P＜0.05),the maximum load and elastic modulus of the femoral head were increased(P＜0.05),and the mRNA expression levels of Akt1,PI3K,VEGF and CD31 in the whole blood were increased(P＜0.05)in the high-dose group of Guhuaisi Kangfu Pills and Xianling Gubao Capsules group.There was no significant difference in the above indexes between the high-dose group of Guhuaisi Kangfu Pills and the Xianling Gubao Capsules group(P＞0.05).Conclusion Guhuaisi Kangfu Pills improves SONFH in rats,and its mechanism is related to the promotion of VEGF/PI3K/Akt pathway gene expression,thereby promoting angiogenesis.

Objective:Adverse cardiovascular events are the leading cause of death in peritoneal dialysis patients.Identifying indicators that can predict adverse cardiovascular events in these patients is crucial for prognosis.This study aims to assess the value of dual-specificity phosphatase 6(DUSP6)in peripheral blood mononuclear cells as a predictor of adverse cardiovascular events after peritoneal dialysis in diabetic nephropathy patients. Methods:A total of 124 diabetic nephropathy patients underwent peritoneal dialysis treatment at the Department of Nephrology of the First Affiliated Hospital of Hebei North University from June to September 2022 were selected as study subjects.The levels of DUSP6 in peripheral blood mononuclear cells were determined using Western blotting.Patients were categorized into high-level and low-level DUSP6 groups based on the median DUSP6 level.Differences in body mass index,serum albumin,high-sensitivity C-reactive protein,and dialysis duration were compared between the 2 groups.Pearson,Spearman,and multiple linear regression analyses were performed to examine factors related to DUSP6.Patients were followed up to monitor the occurrence of adverse cardiovascular events,and risk factors for adverse cardiovascular events after peritoneal dialysis were analyzed using Kaplan-Meier and Cox regression. Results:By the end of the follow-up,33(26.61%)patients had experienced at least one adverse cardiovascular event.The high-level DUSP6 group had higher body mass index,longer dialysis duration,and higher high-sensitivity C-reactive protein,but lower serum albumin levels compared to the low-level DUSP6 group(all P<0.05).DUSP6 was negatively correlated with serum albumin levels(r=-0.271,P=0.002)and positively correlated with dialysis duration(rs=0.406,P<0.001)and high-sensitivity C-reactive protein(rs=0.367,P<0.001).Multiple linear regression analysis revealed that dialysis duration and high-sensitivity C-reactive protein were independently correlated with DUSP6 levels(both P<0.05).The cumulative incidence of adverse cardiovascular events was higher in the high-level DUSP6 group than in the low-level DUSP6 group(46.67%vs 7.81%,P<0.001).Cox regression analysis indicated that low serum albumin levels(HR=0.836,95%CI 0.778 to 0.899),high high-sensitivity C-reactive protein(HR=1.409,95%CI 1.208 to 1.644),and high DUSP6(HR=6.631,95%CI 2.352 to 18.693)were independent risk factors for adverse cardiovascular events in peritoneal dialysis patients. Conclusion:Dialysis duration and high-sensitivity C-reactive protein are independently associated with DUSP6 levels in peripheral blood mononuclear cells of diabetic nephropathy patients undergoing peritoneal dialysis.High DUSP6 levels indicate a higher risk of adverse cardiovascular events.

Objective Based on data from the US SEER database,this study investigates the incidence,epidemiological characteristics,treatment modalities,prognosis assessment,and risk stratification of advanced-stage lung adenocarcinoma in young patients.Methods SEER*Stat software was used to collect the incidence rates of lung adenocarcinoma among people under 50 in the US from 2000 to 2020,with annual percentage changes(APCs)calculated using Joinpoint software.Clinical data of 4490 advanced-stage lung adenocarcinoma patients under 50 years old from the SEER database(2010-2018)were retrospectively collected and analyzed.Kaplan-Meier method was used to calculate overall survival,log-rank test to estimate survival rates,and Cox proportional hazards regression model to conduct univariate and multivariate prognostic analyses,and a nomogram model was established to predict the survival of young advanced lung adenocarcinoma patients.The predictive performance of the nomogram was evaluated using ROC curves and calibration curves.X-Tile software was used for risk stratification of the prognosis of young advanced lung adenocarcinoma patients.Results From 2000 to 2020,the incidence rates of young lung adenocarcinoma in men and women in the US decreased from 2.1/100 000 and 2.2/100 000 to 1.1/100 000 and 1.5/100 000 respectively,with APCs of-2.16 and-1.39(P<0.05).Compared to patients aged 40 to<50 years,patients under 40 were more likely to develop bone metastasis,liver metastasis,and lung metastasis,had a higher probability of receiving chemotherapy,tumors were more likely to occur in the lower or middle lobes of the lung,but had a lower probability of receiving radiotherapy,with statistically significant differences(P<0.05).Cox regression analysis showed that gender,age,race,N stage,M stage,subsite,liver metastasis,and bone metastasis were prognostic factors for young advanced lung adenocarcinoma patients(P<0.05);male patients had worse prognosis than female patients(HR=1.17,95%CI 1.09-1.25);African American patients had worse prognosis than Caucasian patients(HR=1.12,95%CI 1.02-1.23),other races had better prognosis than Caucasian patients(HR=0.83,95%CI 0.77-0.97);patients aged 40 to<50 had worse prognosis than those under 40(HR=1.34,95%CI 1.21-1.48);patients with bone metastasis(HR=1.29,95%CI 1.19-1.40)and liver metastasis(HR=1.40,95%CI 1.28-1.54)had worse prognosis,with statistically significant differences(P<0.05).Based on the above prognostic factors,a nomogram model was established to predict 1-year,3-year,and 5-year survival with areas under the curve(AUC)of 0.717,0.692,and 0.699 respectively,and the calibration curve was close to the 45° diagonal.According to the risk scores,patients were divided into low-risk group[1017 cases(22.7%)],medium-risk group[2871 cases(63.9%)],and high-risk group[602 cases(13.4%)].The difference is statistically significant comparing the survival rates among three groups(P<0.0001).Conclusion Gender,age,race,N stage,M stage,subsite,liver metastasis,and bone metastasis are prognostic factors for young advanced lung adenocarcinoma patients,and the nomogram model established based on these factors has high predictive performance.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Knee osteoarthritis(KOA)is a chronic degenerative joint disease which could result disabling in late stage.The objectivity in imaging diagnosis of KOA is often various due to human factors and other influences.Artificial intelligence(AI)has been proved highly valuable for KOA.The progresses of AI in imaging diagnosis and grading of KOA,detecting cartilages lesions,predicting pain and long-term care of KOA were reviewed in this article.