ObjectiveThis study aims to explore the potential mechanism of Danggui Niantongtang in treating knee osteoarthritis （KOA） by regulating the intestinal flora through 16S rDNA analysis. MethodThirty-six C57BL/6J mice were subjected to anterior cruciate ligament transection （ACLT） to establish a KOA model and were randomly divided into the sham surgery group， model group， low-dose Danggui Niantongtang group （0.819 g·kg^-1）， medium-dose Danggui Niantongtang group （1.638 g·kg^-1）， high-dose Danggui Niantongtang group （3.276 g·kg^-1）， and Meloxicam group （0.975 mg·kg^-1）， with 6 mice in each group. Except for the treatment groups， the sham surgery group and model group were given normal saline by gavage. After 4 weeks of continuous intervention， feces and intact knee joints of the mice were collected. Hematoxylin-eosin （HE） staining and Safranin O-Fast Green staining were performed to observe the pathological changes in knee joint tissue morphology. The 16S rDNA sequencing was used to analyze changes in the abundance and diversity of intestinal microorganisms before and after treatment， along with corresponding functional predictions. ResultHigh-dose Danggui Niantongtang and Meloxicam significantly relieved pain symptoms in KOA mice， improved the disorder of joint structure， maintained the integrity of knee articular cartilage， increased the expression of type Ⅱ collagen alpha 1 （Col2a1） in articular cartilage， and decreased the expression of matrix metalloproteinase-13 （MMP-13）. The results of 16S rDNA sequencing showed that high-dose Danggui Niantongtang could adjust the abundance and structure of intestinal microbial species. Compared with the sham surgery group， the abundance of Proteobacteria， Actinobacteria， Ruminococcus， and Bacteroides was significantly increased in the model group （P<0.05）， while in the Danggui Niantongtang group， the abundance of these four flora was significantly reduced compared with the model group. Compared with the sham surgery group， the abundance of Verrucomicrobia， Oscillospira， and Akkermansia was significantly decreased in the model group （P<0.05）， while in the Danggui Niantongtang groups， the abundance of these three flora was significantly increased compared with the model group （P<0.05）. Functional pathway prediction of differential genera revealed that species differences among groups mainly involved metabolic pathways with high abundance associated with biosynthesis and precursors， as well as energy production， including amino acid biosynthesis， nucleotide and nucleoside biosynthesis， cofactors， prosthetic groups， electron carriers， and vitamin biosynthesis. ConclusionDanggui Niantongtang can effectively protect articular cartilage and delay the progression of KOA， possibly by regulating the structure of the intestinal flora， promoting probiotics， and inhibiting the growth of harmful pathogenic bacteria.

Objective:To establish a time control mode for component blood collection and to discuss its application value in the operation management of blood separator.Methods:The causes for delay in blood separation time in blood component collection were analyzed,the correlation between influencing factors and time control level was analyzed by using data mining algorithm,and time control management countermeasures were developed by running time prediction.A total of 600 blood donors and 17 blood separators in clinical use in Shanghai Xuhui District Central Hospital from 2019 to 2022 were selected and divided into a control group(300 blood donors,14 blood separators)and an observation group(300 blood donors,15 blood separators,including 12 of control groups and 3 newly added)according to different management modes.The control group adopted the quality control mode,the observation group adopted the time control mode.The number of problems,the proportion of delay,the number of satisfied people and the assessment results of relevant medical staff in the blood component collection process were compared between the two groups.Results:The number of blood donors with problems related to equipment,medical consumables,medical staff and blood donors during the blood component collection process in the observation group was 11(accounting for 3.7%),17(accounting for 5.7%),7(accounting for 2.3%)and 18(accounting for 6.0%),respectively,which were lower than those in the control group,the difference was statistically significant(x2=7.192,6.822,8.153,11.405,P<0.05).The number of blood donors whose blood separators were in normal operation,apparent delay and significant delay in the observation group were 236(accounting for 78.7%),46(accounting for 15.3%)and 18(accounting for 6.0%),respectively,and the proportions of normal operation were higher than those in the control group,the proportions of apparent delay and significant delay were lower than those in the control group,the difference was statistically significant(x2=17.821,7.131,8.549,P<0.05).The proportion of blood donors satisfied was 284(accounting for 94.7%)in the observation group,which was higher than that in the control group,the difference was statistically significant(x2=30.171,P<0.05).The assessment score of medical staff involved in blood donors in the observation group was(91.14±4.86),which was higher than that in the control group,the difference was statistically significant(t=4.587,P<0.05).Conclusion:Time control mode can control the probability of the problems in the operation of blood separator,shorten the delay time of blood separator operation,improve blood donation experience of blood donors and blood collection service quality,and improve the professional level of medical staff.

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 distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.

Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7％)and Enterococcus faecalis(41.5％).The strains were mainly isolated from urinary tract specimens(46.9％±2.6％),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6％).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1％and 1.3％,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7％in 2015 to 3.4％in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3％.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.

Objective To examine the changing antimicrobial resistance profile of Enterobacter spp.isolates in 53 hospitals across China from 2015 t0 2021.Methods The clinical isolates of Enterobacter spp.were collected from 53 hospitals across China during 2015-2021 and tested for antimicrobial susceptibility using Kirby-Bauer method or automated testing systems according to the CHINET unified protocol.The results were interpreted according to the breakpoints issued by the Clinical & Laboratory Standards Institute(CLSI)in 2021(M100 31st edition)and analyzed with WHONET 5.6 software.Results A total of 37 966 Enterobacter strains were isolated from 2015 to 2021.The proportion of Enterobacter isolates among all clinical isolates showed a fluctuating trend over the 7-year period,overall 2.5％in all clinical isolates amd 5.7％in Enterobacterale strains.The most frequently isolated Enterobacter species was Enterobacter cloacae,accounting for 93.7％(35 571/37 966).The strains were mainly isolated from respiratory specimens(44.4±4.6)％,followed by secretions/pus(16.4±2.3)％and urine(16.0±0.9)％.The strains from respiratory samples decreased slightly,while those from sterile body fluids increased over the 7-year period.The Enterobacter strains were mainly isolated from inpatients(92.9％),and only(7.1±0.8)％of the strains were isolated from outpatients and emergency patients.The patients in surgical wards contributed the highest number of isolates(24.4±2.9)％compared to the inpatients in any other departement.Overall,≤ 7.9％of the E.cloacae strains were resistant to amikacin,tigecycline,polymyxin B,imipenem or meropenem,while ≤5.6％of the Enterobacter asburiae strains were resistant to these antimicrobial agents.E.asburiae showed higher resistance rate to polymyxin B than E.cloacae(19.7％vs 3.9％).Overall,≤8.1％of the Enterobacter gergoviae strains were resistant to tigecycline,amikacin,meropenem,or imipenem,while 10.5％of these strains were resistant to polycolistin B.The overall prevalence of carbapenem-resistant Enterobacter was 10.0％over the 7-year period,but showing an upward trend.The resistance profiles of Enterobacter isolates varied with the department from which they were isolated and whether the patient is an adult or a child.The prevalence of carbapenem-resistant E.cloacae was the highest in the E.cloacae isolates from ICU patients.Conclusions The results of the CHINET Antimicrobial Resistance Surveillance Program indicate that the proportion of Enterobacter strains in all clinical isolates fluctuates slightly over the 7-year period from 2015 to 2021.The Enterobacter strains showed increasing resistance to multiple antimicrobial drugs,especially carbapenems over the 7-year period.

Objective To understand the changing distribution and antimicrobial resistance profiles of Proteus,Morganella and Providencia in hospitals across China from January 1,2015 to December 31,2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods Antimicrobial susceptibility testing was carried out following the unified CHINET protocol.The results were interpreted in accordance with the breakpoints in the 2021 Clinical & Laboratory Standards Institute(CLSI)M100(31 st Edition).Results A total of 32 433 Enterobacterales strains were isolated during the 7-year period,including 24 160 strains of Proteus,6 704 strains of Morganella,and 1 569 strains of Providencia.The overall number of these Enterobacterales isolates increased significantly over the 7-year period.The top 3 specimen source of these strains were urine,lower respiratory tract specimens,and wound secretions.Proteus,Morganella,and Providencia isolates showed lower resistance rates to amikacin,meropenem,cefoxitin,cefepime,cefoperazone-sulbactam,and piperacillin-tazobactam.For most of the antibiotics tested,less than 10％of the Proteus and Morganella strains were resistant,while less than 20％of the Providencia strains were resistant.The prevalence of carbapenem-resistant Enterobacterales(CRE)was 1.4％in Proteus isolates,1.9％in Morganella isolates,and 15.6％in Providencia isolates.Conclusions The overall number of clinical isolates of Proteus,Morganella and Providencia increased significantly in the 7-year period from 2015 to 2021.The prevalence of CRE strains also increased.More attention should be paid to antimicrobial resistance surveillance and rational antibiotic use so as to prevent the emergence and increase of antimicrobial resistance.

Objective To understand the changing distribution and antimicrobial resistance profiles of Klebsiella strains in 52 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Antimicrobial susceptibility testing was carried out according to the unified CHINET protocol.The susceptibility results were interpreted according to the breakpoints in the Clinical & Laboratory Standards Institute(CLSI)M100 document.Results A total of 241,549 nonduplicate Klebsiella strains were isolated from 2015 to 2021,including Klebsiella pneumoniae(88.0％),Klebsiella aerogenes(5.8％),Klebsiella oxytoca(5.7％),and other Klebsiella species(0.6％).Klebsiella strains were mainly isolated from respiratory tract(48.49±5.32)％.Internal medicine(22.79±3.28)％,surgery(17.98±3.10)％,and ICU(14.03±1.39)％were the top 3 departments where Klebsiella strains were most frequently isolated.K.pneumoniae isolates showed higher resistance rate to most antimicrobial agents compared to other Klebsiella species.Klebsiella isolates maintained low resistance rates to tigecycline and polymyxin B.ESBLs-producing K.pneumoniae and K.oxytoca strains showed higher resistance rates to all the antimicrobial agents tested compared to the corresponding ESBLs-nonproducing strains.The K.pneumoniae and carbapenem-resistant K.pneumoniae(CRKP)strains isolated from ICU patients demonstrated higher resistance rates to majority of the antimicrobial agents tested than the strains isolated from non-ICU patients.The CRKP strains isolated from adult patients had higher resistance rates to most of the antimicrobial agents tested than the corresponding CRKP strains isolated from paediatric patients.Conclusions The prevalence of carbapenem-resistant strains in Klebsiella isolates increased greatly from 2015 to 2021.However,the Klebsiella isolates remained highly susceptible to tigecycline and polymyxin B.Antimicrobial resistance surveillance should still be strengthened for Klebsiella strains.

Objective To investigate the changing distribution and antibiotic resistance profiles of clinical isolates of Staphylococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Staphylococcus according to the unified protocol of CHINET(China Antimicrobial Surveillance Network)using disk diffusion method and commercial automated systems.The CHINET antimicrobial resistance surveillance data from 2015 to 2021 were interpreted according to the 2021 CLSI breakpoints and analyzed using WHONET 5.6.Results During the period from 2015 to 2021,a total of 204,771 nonduplicate strains of Staphylococcus were isolated,including 136,731(66.8％)strains of Staphylococcus aureus and 68,040(33.2％)strains of coagulase-negative Staphylococcus(CNS).The proportions of S.aureus isolates and CNS isolates did not show significant change.S.aureus strains were mainly isolated from respiratory specimens(38.9±5.1)％,wound,pus and secretions(33.6±4.2)％,and blood(11.9±1.5)％.The CNS strains were predominantly isolated from blood(73.6±4.2)％,cerebrospinal fluid(12.1±2.5)％,and pleural effusion and ascites(8.4±2.1)％.S.aureus strains were mainly isolated from the patients in ICU(17.0±7.3)％,outpatient and emergency(11.6±1.7)％,and department of surgery(11.2±0.9)％,whereas CNS strains were primarily isolated from the patients in ICU(32.2±9.7)％,outpatient and emergency(12.8±4.7)％,and department of internal medicine(11.2±1.9)％.The prevalence of methicillin-resistant strains was 32.9％in S.aureus(MRSA)and 74.1％in CNS(MRCNS).Over the 7-year period,the prevalence of MRSA decreased from 42.1％to 29.2％,and the prevalence of MRCNS decreased from 82.1％to 68.2％.MRSA showed higher resistance rates to all the antimicrobial agents tested except trimethoprim-sulfamethoxazole than methicillin-susceptible S.aureus(MSSA).Over the 7-year period,MRSA strains showed decreasing resistance rates to gentamicin,rifampicin,and levofloxacin,MRCNS showed decreasing resistance rates to gentamicin,erythromycin,rifampicin,and trimethoprim-sulfamethoxazole,but increasing resistance rate to levofloxacin.No vancomycin-resistant strains were detected.The prevalence of linezolid-resistant MRCNS increased from 0.2％to 2.3％over the 7-year period.Conclusions Staphylococcus remains the major pathogen among gram-positive bacteria.MRSA and MRCNS were still the principal antibiotic-resistant gram-positive bacteria.No S.aureus isolates were found resistant to vancomycin or linezolid,but linezolid-resistant strains have been detected in MRCNS isolates,which is an issue of concern.

Background Sleep disturbances in children and adolescents have become a global public health concern,with pronounced issues in the Western China.Despite this,research on the prevalence of insomnia and its influencing factors among children and adolescents in Chongqing is still lacking.Objective To understand the prevalence of insomnia and analyze its influencing factors among children and adolescents in Chongqing,so as to provide references for clinical interventions and preventive strategies of insomnia.Methods A stratified random sampling method was used to select 9 969 children and adolescents in Chongqing from November to December 2021.Insomnia Severity Index(ISI)and a self-designed questionnaire on awareness of core mental health knowledge were administered.Binary Logistic regression analysis was used to identify the influencing factors of insomnia in this population.Results A total of 3 578 children and adolescents(35.89％)were found to have insomnia symptoms.There were statistically significant differences in the detection of insomnia symptoms among gender,ethnicity,education level,domicile,only-child status,parental education level,introversion/extroversion,parental relationship,average monthly per capita income,family history of mental illness,medical insurance coverage,living situation and understanding of mental health knowledge(P<0.05 or 0.01).Binary Logistic regression analysis identified several risk factors for insomnia,including female gender(OR=1.301,95％CI:1.192～1.419),ethnic minority status(OR=1.163,95％CI:1.015～1.333),junior high school for education level(OR=1.985,95％CI:1.774～2.220),senior high school for education level(OR=3.085,95％CI:2.749～3.462),non-only-child status(OR=1.127,95％CI:1.013～1.253),degree of harmony between parents is not high or not harmonious[(OR=1.846,95％CI:1.669～2.041 for relatively harmonious;OR=2.524,95％CI:2.214～2.877 for generally harmonious;OR=2.452,95％CI:1.999～3.007 for not very harmonious;OR=2.926,95％CI:2.307～3.710 for very discordant)]and incomplete medical insurance coverage(OR=1.218,95％CI:1.093～1.358).Protective factors included an extroverted personality(OR=0.838,95％CI:0.766～0.917),absence of family history of mental illness(OR=0.719,95％CI:0.549～0.941),junior high school for mother's education level(OR=0.822,95％CI:0.734～0.920),senior high school or secondary specialized school for mother's education level(OR=0.862,95％CI:0.752～0.988),college and above for mother's education level(OR=0.748,95％CI:0.633～0.884)and knowledge of mental health(OR=0.854,95％CI:0.778～0.937).Conclusion The problem of insomnia among children and adolescents in Chongqing is quite serious.Risk factors for insomnia include female gender,ethnic minority status,higher education levels,being a non-only child,poor family relationships and incomplete medical insurance.Conversely,an extroverted personality,absence of family history of mental illness,higher maternal education and knowledge of mental health serve as protective factors against insomnia.