Dataset Information

Antimicrobial resistance in southern China: results of prospective surveillance in Dongguan city, 2017.

ABSTRACT: BACKGROUND:Few studies have estimated the burden of infections due to antimicrobial-resistant (AMR) pathogens in China. AIM:To summarize antimicrobial resistance and assess the frequency of community-associated infections (CAIs) and healthcare-associated infections (HCAIs) due to AMR pathogens in Dongguan city, China. METHODS:Seven acute care hospitals provided antimicrobial susceptibility data for 2017, from which 'bug-drug' combinations were analysed. To calculate incidence proportions of CAI and incidence densities of HCAI, data from three tertiary care hospitals were merged with patient data, obtained from the Dongguan Nosocomial Infection Surveillance System. FINDINGS:A total of 16,548 pathogens were analysed. Non-susceptibility to third-generation cephalosporins (3GCs) in Escherichia coli and Klebsiella pneumoniae was 43.9% and 30.2%, respectively. Non-susceptibility to carbapenems in Pseudomonas aeruginosa and Acinetobacter baumannii was 29.5% and 50.9%, respectively. A quarter of Staphylococcus aureus (26.3%) were non-susceptible to oxacillin. The incidence density of HCAI due to E. coli non-susceptible to 3GCs and fluoroquinolones combined was 0.09 (95% confidence interval: 0.07-0.11) per 1000 patient-days. Both E. coli and K. pneumoniae were the predominant pathogens isolated from blood. Compared with the 2017 European Antimicrobial Resistance Surveillance Network report, the incidence proportion of bloodstream infections due to multidrug-resistant E. coli was significantly higher (14.9% and 4.6%, respectively). CONCLUSION:The incidence of non-susceptible bug-drug combinations in Dongguan city was lower compared with China as a whole. Non-susceptible bug-drug combinations were significantly more frequent in HCAI compared with CAI. The incidence proportion of bloodstream infections due to multidrug-resistant pathogens in Dongguan City was higher compared with Europe.

SUBMITTER: Wang J

PROVIDER: S-EPMC7270154 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Antimicrobial resistance in southern China: results of prospective surveillance in Dongguan city, 2017.

Wang J J Zhou M M Huang G G Guo Z Z Sauser J J Metsini A A Pittet D D Zingg W W

The Journal of hospital infection 20200331 2

<h4>Background</h4>Few studies have estimated the burden of infections due to antimicrobial-resistant (AMR) pathogens in China.<h4>Aim</h4>To summarize antimicrobial resistance and assess the frequency of community-associated infections (CAIs) and healthcare-associated infections (HCAIs) due to AMR pathogens in Dongguan city, China.<h4>Methods</h4>Seven acute care hospitals provided antimicrobial susceptibility data for 2017, from which 'bug-drug' combinations were analysed. To calculate inciden ...[more]

PMID: 32243952

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Project description:BackgroundThis study was conducted to identify epidemiological characteristics of the first documented CHIK fever outbreak in China and evaluate the effect of the preventive measures taken.Methodology/principal findingsFrom September 1 to October 29, 2010, China's first documented outbreak of CHIK fever occurred in the Xincun community of Wanjiang District of Dongguan city, Guangdong province; 253 case-patients were recorded, of which 129 were laboratory confirmed, with an attack rate of 1%. Before September 18(th) the number of CHIK fever cases remained relatively low in the Xincun community; from September 19(th) onwards, the number of cases increased drastically, with an outbreak peak on October 4(th). Cases were distributed across nine small village groups in the Xincun community, with an attack rate of 0-12% at the village level. The household attack rates ranged between 20% and 100%. No significant difference was found in the attack rate between males and females. There was a significant difference in the attack rate in different age groups (chi-square=18.35, p=0.005); highest in patients aged 60 years or older and the lowest in patients aged under 10. The major clinical characteristics of patients are fever (100%), joint pain (79%) and rash (54%). Phylogenetic analysis of the E1 gene on the five earliest confirmed cases showed that the strains of CHIKV isolated from their sera were highly homologous (up to 99%) with isogeneic strains isolated in Thailand in 2009. After control measures were taken, including killing adult mosquitoes and cleaning breeding habitats of Aedes mosquitoes, the Breteau index and Mosq-ovitrap index decreased rapidly, and the outbreak ended on October 29.Conclusion/significanceThe infection source of the outbreak was imported. Cases showed obvious temporal, spatial, and population aggregation during the outbreak. Comprehensive control measures based on reducing the density of Aedes mosquitoes were effective in controlling the epidemic.

Project description:BackgroundSouthern China is at risk for arborvirus disease transmission, including Zika virus and dengue. Patients often present to clinical care with non-specific acute febrile illnesses (AFI). To better describe the etiology of AFI, we implemented a two-year AFI surveillance project at five sentinel hospitals in Yunnan and Guangdong Provinces.MethodsBetween June 2017 and August 2019, we enrolled patients between 2 and 65 years of age presenting at one sentinel hospital in Mengla County, Yunnan, and four in Jiangmen City, Guangdong, with symptoms of AFI (acute onset of fever ≥ 37.5°C within the past 7 days) without respiratory symptoms or diarrhea. Demographic, epidemiologic, and clinical information was obtained and entered into a web-based AFI surveillance database. A custom TaqMan Array card (TAC) was used to test patients' whole blood specimens for 27 different pathogens using real-time polymerase chain reaction assays.ResultsDuring the two-year project period, 836 patients were enrolled; 443 patients from Mengla County and 393 patients from Jiangmen City. The median age was 33 years [range: 2-65], and most were hospitalized [641, 77%]. Of 796 patients with valid TAC results, 341 (43%) were positive for at least one of the 10 unique pathogens detected. This included 205 (26%) patients positive for dengue virus, 60 (8%) for Orientia tsutsugamushi, and 42 (5%) for Coxiella burnetii. Ten patients (1%) in Jiangmen City tested positive for malaria, 8 of whom reported recent travel outside of China. TAC results were negative for 455 (57%) patients. None of the patients had a positive TAC detection for Zika virus.ConclusionsThe project detected variability in the etiology of AFI in Southern China and highlighted the importance of differential diagnosis. Dengue, O. tsutsugamushi, and C. burnetii were the most frequently identified pathogens among enrolled AFI patients. As a non-notifiable disease, the frequent detection of C. burnetii is noteworthy and warrants additional investigation. The project provided a framework for routine surveillance for persons presenting with AFI.

Project description:Objectives:We investigated the in vitro antimicrobial susceptibilities of clinically important Gram-negative bacteria (GNB) from 16 major teaching hospitals in Taiwan in 2017. Materials and methods:Escherichia coli (n=686) and Klebsiella pneumoniae bloodstream isolates (n=673), non-typhoid Salmonella (NTS; n=221) from various sources, Shigella species (n=21) from fecal samples, and Neisseria gonorrhoeae (n=129) from the genitourinary tract were collected. Antibiotic minimum inhibitory concentrations (MICs) were determined using the broth microdilution method. Alleles encoding K. pneumoniae carbapenemases (KPCs), New Delhi metallo-?-lactamases (NDMs), Verona integron-encoded metallo-?-lactamase, imipenemase, OXA-48-like, and mcr-1-5 genes were detected by molecular methods in Enterobacteriaceae isolates. Results:Five (0.7%) E. coli isolates harbored mcr-1 alleles. Twenty-four (3.6%), seven (1.0%), four (0.6%), and one (0.15%) K. pneumoniae isolates contained bla KPC, bla OXA-48-like, mcr-1, and bla NDM, respectively. Three (1.4%) NTS and no Shigella isolates harbored mcr-1 genes. Seventy-one (10.5%) K. pneumoniae isolates displayed non-susceptibility (NS) to carbapenem agent(s). Phenotypically extended-spectrum ?-lactamase (ESBL)-producing K. pneumoniae isolates showed significantly higher rates of ertapenem, tigecycline, and ceftolozane-tazobactam (CLZ- TAZ) NS (40.2%, 16.3%, and 71%-80%, respectively) than E. coli isolates exhibiting ESBL phenotypes (5.4%, 0.7%, and 18%-28%, respectively). All phenotypically ESBL-producing E. coli isolates were ceftazidime-avibactam (CAZ-AVB) susceptible. Two (8.3%) KPC-producing K. pneumoniae isolates showed CAZ-AVB NS. Hospital-acquired K. pneumoniae isolates were significantly less susceptible to ertapenem and CLZ-TAZ than hospital-acquired E. coli isolates. Conclusion:Third-generation cephalosporins remain the optimal choice for treating NTS, Shigella, and gonococcal infections in Taiwan. Hospital-acquired and phenotypically ESBL-producing K. pneumoniae are a heavy resistance burden in Taiwan.

Project description:Surveillance of antimicrobial resistance (AMR) is an important component of public health. Antimicrobial drug use generates selective pressure that may lead to resistance against to the administered drug, and may also select for collateral resistances to other drugs. Analysis of AMR surveillance data has focused on resistance to individual drugs but joint distributions of resistance in bacterial populations are infrequently analyzed and reported. New methods are needed to characterize and communicate joint resistance distributions. Markov networks are a class of graphical models that define connections, or edges, between pairs of variables with non-zero partial correlations and are used here to describe AMR resistance relationships. The graphical least absolute shrinkage and selection operator is used to estimate sparse Markov networks from AMR surveillance data. The method is demonstrated using a subset of Escherichia coli isolates collected by the National Antimicrobial Resistance Monitoring System between 2004 and 2012 which included AMR results for 16 drugs from 14418 isolates. Of the 119 possible unique edges, 33 unique edges were identified at least once during the study period and graphical density ranged from 16.2% to 24.8%. Two frequent dense subgraphs were noted, one containing the five β-lactam drugs and the other containing both sulfonamides, three aminoglycosides, and tetracycline. Density did not appear to change over time (p = 0.71). Unweighted modularity did not appear to change over time (p = 0.18), but a significant decreasing trend was noted in the modularity of the weighted networks (p < 0.005) indicating relationships between drugs of different classes tended to increase in strength and frequency over time compared to relationships between drugs of the same class. The current method provides a novel method to study the joint resistance distribution, but additional work is required to unite the underlying biological and genetic characteristics of the isolates with the current results derived from phenotypic data.

Dataset Information

Antimicrobial resistance in southern China: results of prospective surveillance in Dongguan city, 2017.

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Antimicrobial resistance in southern China: results of prospective surveillance in Dongguan city, 2017.

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