Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective To explore the diagnostic value of the phenomenon of protein-cell separation in cerebrospinal fluid(CSF),as well as the single and combined detections of CSF immunoglobulin G(CSF-IgG),CSF albumin(CSF-ALB)and serum immunoglobu-lin G(S-IgG)for Guillain-Barre syndrome(GBS).Methods A retrospective analysis was conducted on the clinical data of 65 GBS patients(GBS group)and 65 patients with other neurological diseases(non-GBS group).CSF and serum samples were collected from both the groups to analyze the diagnostic efficacy of protein-cell separation phenomenon in CSF,as well as the single and combined de-tections of CSF-IgG,CSF-ALB,and serum-IgG(S-IgG)in GBS.Results CSF protein-cell separation phenomenon was observed in 60.00％(39/65)of GBS patients.Prodromal events were presented in 67.69％(44/65)of GBS patients,which mainly were upper re-spiratory tract infection(43.08％,28/65),digestive tract infection(9.23％,6/65),and herpetic virus infection(7.69％,5/65).The levels of CSF-IgG,CSF-ALB,and S-IgG in the GBS group were significantly higher than those in non-GBS group(P＜0.05).The areas under the ROC curves(AUCROC)for single CSF-IgG,CSF-ALB,S-IgG,protein-cell separation phenomenon IN CSF,and the combination of all the four parameters in diagnosis of GBS were 0.754,0.705,0.682,0.708,and 0.840,respectively.The diagnostic specificities were 87.7％,75.4％,87.7％,81.5％,and 96.9％,respectively.Conclusion Most of the GBS patients were found to have CSF protein-cell separation phenomenon and history of prodromal infection.CSF-IgG,CSF-ALB,S-IgG,and CSF protein-cell separation phenomenon exhibited independent diagnostic value for GBS.The combined detection of the four indicators could improve the diagnostic efficacy for GBS.

Objective To explore the clinical infection distribution and antifungal resistance characteristics of the Stephanoascusciferrii(S.ciferrii)complex.Methods Clinical fungal culture and isolation data from Nanjing Drum Tower Hospital from 2012 to 2023 were retrospectively analyzed.The annual isolation quantity,proportion,and distribution of infection sites of S.ciferrii were statistically analyzed.The minimum inhibitory concentrations(MICs)of isolated strains against common antifungal agents were detected by ATB Fungus 3 fungal susceptibility test kit,and their resistance was analyzed.Results From 2012 to 2023,a total of 26 602 fungal strains were isola-ted in this hospital,including 79 strains of the S.ciferrii complex.Compared with 2012-2017,the isolation rate of S.ciferrii complex increased from 2018 to 2023(0.06％vs 0.43％,P＜0.001).There were 69 cases of super-ficial infection,including infection of ear canal(n=67)and skin(n=2).92.75％(n=64)of the patients were im-munocompetent individuals.There were 10 cases of invasive infection,including infection of urinary tract(n=5),respiratory tract(n=2),biliary tract(n=1),pacemaker pouch(n=1),and vagina(n=1).70.00％of the pa-tients had other underlying diseases,including 3 cases of immunosuppressed patients who died due to combined in-fection with the S.ciferrii complex.The MICs detection results showed that the MIC50 and MIC90 of fluconazole were 32 μg/mL and 128 μg/mL,respectively;the MIC50 and MIC90 of amphotericin B were 0.5 μg/mL and 2 μg/mL,respectively.Conclusion S.ciferrii complex mainly causes ear canal infection and has the dual pathogenic ability to cause superficial and invasive infection.The isolated strains showed higher MIC values for fluconazole and lower MIC values for amphotericin B.The mortality is high in immunosuppressed patients combined with invasive infec-tion caused by S.ciferrii.

The importance of gait assessment in the rehabilitation of cancer patients is gradually being recognized. However, quantitative analysis of balance ability in cancer patients is still limited. A total of 102 cancer patients meeting the inclusion criteria were recruited from Hefei Cancer Hospital, Chinese Academy of Sciences. Their balance ability was evaluated using the Berg Balance Scale (BBS). Gait data were collected by an electronic walkway and an IMU sensor system, including spatial-temporal and kinematic gait features such as step length, cadence, support time, and range of motion. Recursive feature elimination was used for feature selection. Ridge, Elastic Net, SVR, RF, and AdaBoost models were used to predict balance ability scores. Five-fold cross-validation was used to evaluate the performance of these models. Results show that the SVR model achieves the best performance with fifteen features (RMSE=3.22, R ²=0.91), followed by Ridge (RMSE=3.63, R ²=0.89). A method for evaluating balance ability based on gait features is proposed, providing a quantitative tool for personalized rehabilitation interventions in cancer patients.
Humans ; Postural Balance ; Neoplasms/rehabilitation* ; Gait ; Gait Analysis ; Biomechanical Phenomena ; Female

Objective:To investigate the effect of blood lipids and statins use on the outcome of acute ischemic stroke (AIS) patients with cerebral microbleeds (CMBs).Methods:Consecutive AIS patients with CMBs hospitalized at the First People's Hospital of Taicang, Jiangsu Province from July 2023 to June 2024 were included retrospectively. At 3 months after onset, the modified Rankin Scale was used for outcome assessment. 0-2 was defined as good outcome and >2 was defined as poor outcome. Multivariate logistic regression analysis was used to identify independent influencing factors for poor outcome. Results:A total of 110 AIS patients with CMBs were enrolled, including 72 males (65.5%), aged 68.04±3.12 years. Thirty patients (27.3%) had poor outcome. Univariate analysis showed that age, baseline National Institutes of Health Stroke Scale (NIHSS) score, total cholesterol, triglycerides, low-density lipoprotein cholesterol, and the proportion of patients with hypertension and diabetes in poor outcome group were significantly higher than those in good outcome group, while baseline high-density lipoprotein cholesterol and the proportion of patients using statins before onset were significantly lower than those in good outcome group ( P<0.05). Multivariate logistic regression analysis showed that age (odds ratio [ OR] 1.309, 95% confidence interval [ CI] 1.007-1.702; P=0.044), the baseline NIHSS score ( OR 1.541, 95% CI 1.143-2.078; P=0.005) and high triglycerides ( OR 5.150, 95% CI 2.150-8.717; P=0.023) were the independent risk factors for poor outcome, while high high-density lipoprotein cholesterol ( OR 0.001, 95% CI 0.001-0.034; P<0.001) and statins use ( OR 0.231, 95% CI 0.046-0.558; P=0.019) were the independent protective factors for good outcome. Conclusions:Blood lipid and statins use are independent influencing factors for the outcome of AIS patients with CMBs. The use of statins before onset is associated with a lower risk of poor outcome in AIS patients with CMBs.

BACKGROUND: Most studies have evaluated disability-adjusted life years (DALYs) of colorectal cancer (CRC) patients based on a set of generic disability weights (DWs). This study aimed to apply local CRC-stage-specific DWs to estimate the burden of DALYs for CRC (CRC-DALYs) in populations in China and consider the influence of local screening coverage of CRC. METHODS: A prevalence-based model was constructed using data from various sources. Years lived with disability (YLDs) were estimated mainly via cumulative prevalence data (based on CRC incidence rates, population numbers, and survival rates), stage-specific proportions of CRC, and DWs of the local population. Years of life lost (YLLs) were calculated based on the CRC mortality rates and standard life expectancies. CRC incidence and mortality rates for the years 2020, 2025, and 2030 were estimated by joinpoint regression, and the corresponding DALYs were predicted. The main assumption was made for CRC screening coverage. Sensitivity analyses were used to assess the impact of population, DWs, and coverage. RESULTS: In 2017, among the Chinese population, the estimated number of CRC-DALYs was 4,303,314 (11.9% for YLDs). If CRC screening coverage rate in China (2.3%) remains unchanged, the overall DALYs in 2030 are predicted to increase by 37.2% (45.1% of those aged ≥65 years). More optimistically, the DALYs would then decrease by 0.7% in 2030 (from 5,902,454 to 5,860,200) if the coverage could be increased to 25.0%. A sensitivity analysis revealed that using local DWs would change the base-case values by 5.7%. CONCLUSIONS The estimated CRC-DALYs in China using population-specific DWs were considerably lower (with a higher percentage of YLDs) than the global burden of disease (GBD) estimates (5,865,004, of 4.6% for YLDs), suggesting the impact extent of applying local parameters. Sustainable scale-up CRC screening needs to be in place to moderate the growth trend of CRC-DALYs in China.
Humans ; Colorectal Neoplasms/diagnosis* ; China/epidemiology* ; Disability-Adjusted Life Years ; Male ; Prevalence ; Female ; Middle Aged ; Aged ; Early Detection of Cancer ; Quality-Adjusted Life Years ; Adult ; Incidence

Objective To explore the diagnostic value of the phenomenon of protein-cell separation in cerebrospinal fluid(CSF),as well as the single and combined detections of CSF immunoglobulin G(CSF-IgG),CSF albumin(CSF-ALB)and serum immunoglobu-lin G(S-IgG)for Guillain-Barre syndrome(GBS).Methods A retrospective analysis was conducted on the clinical data of 65 GBS patients(GBS group)and 65 patients with other neurological diseases(non-GBS group).CSF and serum samples were collected from both the groups to analyze the diagnostic efficacy of protein-cell separation phenomenon in CSF,as well as the single and combined de-tections of CSF-IgG,CSF-ALB,and serum-IgG(S-IgG)in GBS.Results CSF protein-cell separation phenomenon was observed in 60.00％(39/65)of GBS patients.Prodromal events were presented in 67.69％(44/65)of GBS patients,which mainly were upper re-spiratory tract infection(43.08％,28/65),digestive tract infection(9.23％,6/65),and herpetic virus infection(7.69％,5/65).The levels of CSF-IgG,CSF-ALB,and S-IgG in the GBS group were significantly higher than those in non-GBS group(P＜0.05).The areas under the ROC curves(AUCROC)for single CSF-IgG,CSF-ALB,S-IgG,protein-cell separation phenomenon IN CSF,and the combination of all the four parameters in diagnosis of GBS were 0.754,0.705,0.682,0.708,and 0.840,respectively.The diagnostic specificities were 87.7％,75.4％,87.7％,81.5％,and 96.9％,respectively.Conclusion Most of the GBS patients were found to have CSF protein-cell separation phenomenon and history of prodromal infection.CSF-IgG,CSF-ALB,S-IgG,and CSF protein-cell separation phenomenon exhibited independent diagnostic value for GBS.The combined detection of the four indicators could improve the diagnostic efficacy for GBS.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1％of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9％)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5％)was lower than that in inpatient children(31.5％).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1％)than in inpatient children(59.4％).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14％,11.7％,47.8％in outpatients,but 24.2％,20.6％,and 52.8％in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.