scholarly journals Pathogen Distribution and Antimicrobial Resistance Among Pediatric Healthcare-Associated Infections Reported to the National Healthcare Safety Network, 2011–2014

2017 ◽  
Vol 39 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Jason G. Lake ◽  
Lindsey M. Weiner ◽  
Aaron M. Milstone ◽  
Lisa Saiman ◽  
Shelley S. Magill ◽  
...  

OBJECTIVETo describe pathogen distribution and antimicrobial resistance patterns for healthcare-associated infections (HAIs) reported to the National Healthcare Safety Network (NHSN) from pediatric locations during 2011–2014.METHODSDevice-associated infection data were analyzed for central line-associated bloodstream infection (CLABSI), catheter-associated urinary tract infections (CAUTI), ventilator-associated pneumonia (VAP), and surgical site infection (SSI). Pooled mean percentage resistance was calculated for a variety of pathogen-antimicrobial resistance pattern combinations and was stratified by location for device-associated infections (neonatal intensive care units [NICUs], pediatric intensive care units [PICUs], pediatric oncology and pediatric wards) and by surgery type for SSIs.RESULTSFrom 2011 to 2014, 1,003 hospitals reported 20,390 pediatric HAIs and 22,323 associated pathogens to the NHSN. Among all HAIs, the following pathogens accounted for more than 60% of those reported: Staphylococcus aureus (17%), coagulase-negative staphylococci (17%), Escherichia coli (11%), Klebsiella pneumoniae and/or oxytoca (9%), and Enterococcus faecalis (8%). Among device-associated infections, resistance was generally lower in NICUs than in other locations. For several pathogens, resistance was greater in pediatric wards than in PICUs. The proportion of organisms resistant to carbapenems was low overall but reached approximately 20% for Pseudomonas aeruginosa from CLABSIs and CAUTIs in some locations. Among SSIs, antimicrobial resistance patterns were similar across surgical procedure types for most pathogens.CONCLUSIONThis report is the first pediatric-specific description of antimicrobial resistance data reported to the NHSN. Reporting of pediatric-specific HAIs and antimicrobial resistance data will help identify priority targets for infection control and antimicrobial stewardship activities in facilities that provide care for children.Infect Control Hosp Epidemiol 2018;39:1–11

2019 ◽  
Vol 41 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Lindsey M. Weiner-Lastinger ◽  
Sheila Abner ◽  
Andrea L. Benin ◽  
Jonathan R. Edwards ◽  
Alexander J. Kallen ◽  
...  

AbstractObjective:To describe common pathogens and antimicrobial resistance patterns for healthcare-associated infections (HAIs) among pediatric patients that occurred in 2015–2017 and were reported to the Centers for Disease Control and Prevention’s National Healthcare Safety Network (NHSN).Methods:Antimicrobial resistance data were analyzed for pathogens implicated in central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), ventilator-associated pneumonias (VAPs), and surgical site infections (SSIs). This analysis was restricted to device-associated HAIs reported from pediatric patient care locations and SSIs among patients <18 years old. Percentages of pathogens with nonsusceptibility (%NS) to selected antimicrobials were calculated by HAI type, location type, and surgical category.Results:Overall, 2,545 facilities performed surveillance of pediatric HAIs in the NHSN during this period. Staphylococcus aureus (15%), Escherichia coli (12%), and coagulase-negative staphylococci (12%) were the 3 most commonly reported pathogens associated with pediatric HAIs. Pathogens and the %NS varied by HAI type, location type, and/or surgical category. Among CLABSIs, the %NS was generally lowest in neonatal intensive care units and highest in pediatric oncology units. Staphylococcus spp were particularly common among orthopedic, neurosurgical, and cardiac SSIs; however, E. coli was more common in abdominal SSIs. Overall, antimicrobial nonsusceptibility was less prevalent in pediatric HAIs than in adult HAIs.Conclusion:This report provides an updated national summary of pathogen distributions and antimicrobial resistance patterns among pediatric HAIs. These data highlight the need for continued antimicrobial resistance tracking among pediatric patients and should encourage the pediatric healthcare community to use such data when establishing policies for infection prevention and antimicrobial stewardship.


2019 ◽  
Vol 41 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Lindsey M. Weiner-Lastinger ◽  
Sheila Abner ◽  
Jonathan R. Edwards ◽  
Alexander J. Kallen ◽  
Maria Karlsson ◽  
...  

AbstractObjective:Describe common pathogens and antimicrobial resistance patterns for healthcare-associated infections (HAIs) that occurred during 2015–2017 and were reported to the Centers for Disease Control and Prevention’s (CDC’s) National Healthcare Safety Network (NHSN).Methods:Data from central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), ventilator-associated events (VAEs), and surgical site infections (SSIs) were reported from acute-care hospitals, long-term acute-care hospitals, and inpatient rehabilitation facilities. This analysis included device-associated HAIs reported from adult location types, and SSIs among patients ≥18 years old. Percentages of pathogens with nonsusceptibility (%NS) to selected antimicrobials were calculated for each HAI type, location type, surgical category, and surgical wound closure technique.Results:Overall, 5,626 facilities performed adult HAI surveillance during this period, most of which were general acute-care hospitals with <200 beds. Escherichia coli (18%), Staphylococcus aureus (12%), and Klebsiella spp (9%) were the 3 most frequently reported pathogens. Pathogens varied by HAI and location type, with oncology units having a distinct pathogen distribution compared to other settings. The %NS for most pathogens was significantly higher among device-associated HAIs than SSIs. In addition, pathogens from long-term acute-care hospitals had a significantly higher %NS than those from general hospital wards.Conclusions:This report provides an updated national summary of pathogen distributions and antimicrobial resistance among select HAIs and pathogens, stratified by several factors. These data underscore the importance of tracking antimicrobial resistance, particularly in vulnerable populations such as long-term acute-care hospitals and intensive care units.


2016 ◽  
Vol 37 (11) ◽  
pp. 1288-1301 ◽  
Author(s):  
Lindsey M. Weiner ◽  
Amy K. Webb ◽  
Brandi Limbago ◽  
Margaret A. Dudeck ◽  
Jean Patel ◽  
...  

OBJECTIVETo describe antimicrobial resistance patterns for healthcare-associated infections (HAIs) that occurred in 2011–2014 and were reported to the Centers for Disease Control and Prevention’s National Healthcare Safety Network.METHODSData from central line–associated bloodstream infections, catheter-associated urinary tract infections, ventilator-associated pneumonias, and surgical site infections were analyzed. These HAIs were reported from acute care hospitals, long-term acute care hospitals, and inpatient rehabilitation facilities. Pooled mean proportions of pathogens that tested resistant (or nonsusceptible) to selected antimicrobials were calculated by year and HAI type.RESULTSOverall, 4,515 hospitals reported that at least 1 HAI occurred in 2011–2014. There were 408,151 pathogens from 365,490 HAIs reported to the National Healthcare Safety Network, most of which were reported from acute care hospitals with greater than 200 beds. Fifteen pathogen groups accounted for 87% of reported pathogens; the most common included Escherichia coli (15%), Staphylococcus aureus (12%), Klebsiella species (8%), and coagulase-negative staphylococci (8%). In general, the proportion of isolates with common resistance phenotypes was higher among device-associated HAIs compared with surgical site infections. Although the percent resistance for most phenotypes was similar to earlier reports, an increase in the magnitude of the resistance percentages among E. coli pathogens was noted, especially related to fluoroquinolone resistance.CONCLUSIONThis report represents a national summary of antimicrobial resistance among select HAIs and phenotypes. The distribution of frequent pathogens and some resistance patterns appear to have changed from 2009–2010, highlighting the need for continual, careful monitoring of these data across the spectrum of HAI types.Infect Control Hosp Epidemiol 2016;1–14


2008 ◽  
Vol 29 (11) ◽  
pp. 996-1011 ◽  
Author(s):  
Alicia I. Hidron ◽  
Jonathan R. Edwards ◽  
Jean Patel ◽  
Teresa C. Horan ◽  
Dawn M. Sievert ◽  
...  

Objective.To describe the frequency of selected antimicrobial resistance patterns among pathogens causing device-associated and procedure-associated healthcare-associated infections (HAIs) reported by hospitals in the National Healthcare Safety Network (NHSN).Methods.Data are included on HAIs (ie, central line-associated bloodstream infections, catheter-associated urinary tract infections, ventilator-associated pneumonia, and surgical site infections) reported to the Patient Safety Component of the NHSN between January 2006 and October 2007. The results of antimicrobial susceptibility testing of up to 3 pathogenic isolates per HAI by a hospital were evaluated to define antimicrobial-resistance in the pathogenic isolates. The pooled mean proportions of pathogenic isolates interpreted as resistant to selected antimicrobial agents were calculated by type of HAI and overall. The incidence rates of specific device-associated infections were calculated for selected antimicrobial-resistant pathogens according to type of patient care area; the variability in the reported rates is described.Results.Overall, 463 hospitals reported 1 or more HAIs: 412 (89%) were general acute care hospitals, and 309 (67%) had 200-1,000 beds. There were 28,502 HAIs reported among 25,384 patients. The 10 most common pathogens (accounting for 84% of any HAIs) were coagulase-negative staphylococci (15%), Staphylococcus aureus (15%), Enterococcus species (12%), Candida species (11%), Escherichia coli (10%), Pseudomonas aeruginosa (8%), Klebsiella pneumoniae (6%), Enterobacter species (5%), Acinetobacter baumannii (3%), and Klebsiella oxytoca (2%). The pooled mean proportion of pathogenic isolates resistant to antimicrobial agents varied significantly across types of HAI for some pathogen-antimicrobial combinations. As many as 16% of all HAIs were associated with the following multidrug-resistant pathogens: methicillin-resistant S. aureus (8% of HAIs), vancomycin-resistant Enterococcus faecium (4%), carbapenem-resistant P. aeruginosa (2%), extended-spectrum cephalosporin-resistant K. pneumoniae (1%), extended-spectrum cephalosporin-resistant E. coli (0.5%), and carbapenem-resistant A. baumannii, K. pneumoniae, K. oxytoca, and E. coli (0.5%). Nationwide, the majority of units reported no HAIs due to these antimicrobial-resistant pathogens.


2019 ◽  
Vol 70 (7) ◽  
pp. 2622-2626 ◽  
Author(s):  
Letitia Doina Duceac ◽  
Constantin Marcu ◽  
Daniela Luminita Ichim ◽  
Irina Mihaela Ciomaga ◽  
Elena Tarca ◽  
...  

Over the past two decades, the resistance to antibiotics, especially for Gram-negative bacteria, has increased at an alarming rate, requiring constant concern for resolving and controlling this extremely important therapeutic aspect in any medical department but in particular, in Anaesthesia and Intensive Care Units, in units of neonatology, paediatrics, neurosurgery, burned patients and immunosuppressed. Specialists note a particular concern for the resistance of Enterobacteriaceae to third-generation cephalosporins and aztreonam, with a resistance profile frequently associated with the expression of extended-spectrum �-lactamases (ESBL). The Enterobacter genus comprises 14 species, but two are of medical interest, Enterobacter aerogenes and E. cloacae, which are involved in inducing healthcare-associated infections such as urinary tract infections, pneumonia associated with mechanical ventilation, bacteremia, septicemia, etc. The purpose of the study was to highlight the antibiotic molecules in which microbial resistance of some circulating strains of enterobacteria was detected. A descriptive and retrospective study was conducted between 2012-2017, on a batch of 35 patients, admitted to the Sf. Maria Emergency Clinical Hospital for Children of Iasi, from whom various pathological products were collected to highlight the Enterobacter sp strains involved in the production of infections associated with the inpatient medical care. The antimicrobial sensitivity of each strain was determined by diffusimetric method, while the interpretation criteria were considered to be those of the laboratory standards. Most cases were reported in 2017 (31.42%). The majority were registered in new-borns (42.85%) and infants (25.71%). The Anaesthesia and Intensive Care Units and Neonatology Anaesthesia and Intensive Care Units departments were the most involved. Microbial antibacterial resistance of Enterobacter sp isolates showed that all manifested resistance to ampicillin, amoxicillin and clavulanic acid, 48.57% were resistant to Cefuroxime, 42.85% resistant to Ceftazidime and Ceftriaxone, 14.28% to ciprofloxacin, 11.42% to ertapenem, 5.71% to Meronem. Although it showed relatively few cases with infections associated with healthcare in which strains of Enterobacter sp. were isolated our study, which was carried out over a period of 5 years, provides useful indications regarding the prevalence of healthcare associated infections with Enterobacter sp in paediatric patients and guidelines for antibiotic therapy.


2015 ◽  
Vol 36 (12) ◽  
pp. 1379-1384 ◽  
Author(s):  
Minn M. Soe ◽  
Carolyn V. Gould ◽  
Daniel Pollock ◽  
Jonathan Edwards

OBJECTIVETo develop a method for calculating the number of healthcare-associated infections (HAIs) that must be prevented to reach a HAI reduction goal and identifying and prioritizing healthcare facilities where the largest reductions can be achieved.SETTINGAcute care hospitals that report HAI data to the Centers for Disease Control and Prevention’s National Healthcare Safety Network.METHODSThe cumulative attributable difference (CAD) is calculated by subtracting a numerical prevention target from an observed number of HAIs. The prevention target is the product of the predicted number of HAIs and a standardized infection ratio goal, which represents a HAI reduction goal. The CAD is a numeric value that if positive is the number of infections to prevent to reach the HAI reduction goal. We calculated the CAD for catheter-associated urinary tract infections for each of the 3,639 hospitals that reported such data to National Healthcare Safety Network in 2013 and ranked the hospitals by their CAD values in descending order.RESULTSOf 1,578 hospitals with positive CAD values, preventing 10,040 catheter-associated urinary tract infections at 293 hospitals (19%) with the highest CAD would enable achievement of the national 25% catheter-associated urinary tract infection reduction goal.CONCLUSIONThe CAD is a new metric that facilitates ranking of facilities, and locations within facilities, to prioritize HAI prevention efforts where the greatest impact can be achieved toward a HAI reduction goal.Infect. Control Hosp. Epidemiol. 2015;36(12):1379–1384


2018 ◽  
Vol 2 (2-3) ◽  
pp. 41-49
Author(s):  
A.G. Salmanov ◽  
L.F. Slepova ◽  
O.M. Verner ◽  
T.P. Yarema ◽  
P.V. Riabokon

OBJECTIVE. To determine resistance to antibiotics of the pathogens of healthcare-associated infections (HAIs) in surgery and intensive care units in Kyiv hospitals. MATERIALS AND METHODS. The investigation included the analysis of 6159 strains from patients with clinical symptoms HAIs. The identification and antimicrobial susceptibility of cultures were determined, using automated microbiology analyzer Vitek 2 Compact (BioMerieux, France). Susceptibility to antibiotics was determined using AST cards (BioMerieux, France). Some antimicrobial susceptibility test used Kirby – Bauer antibiotic testing. Interpretative criteria were those suggested by the CLSI (USA). RESULTS. The leading agents are E.coli, S.aureus, S.epidermidis, P.aeruginosa, Enterobacter in surgical departments, and Klebsiella, Acinetobacter spp., P.aeruginosa and Enterobacter in departments of intensive care. Multiple resistant hospital cultures are shared in surgical as well as in the departments of intensive care. Its susceptibility to antibiotics was given. CONCLUSIONS. HAIs remain an important cause of morbidity in surgery and intensive care units. Antimicrobial resistance among these and other clinically important pathogens is an increasing problem. The clinical should choose antimicrobial drug in accordance with the local bacterial resistance characteristics for reduce the production of drug resistance and improve the effect of anti-infection treatment possibly.


2013 ◽  
Vol 34 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Dawn M. Sievert ◽  
Philip Ricks ◽  
Jonathan R. Edwards ◽  
Amy Schneider ◽  
Jean Patel ◽  
...  

Objective.To describe antimicrobial resistance patterns for healthcare-associated infections (HAIs) reported to the National Healthcare Safety Network (NHSN) during 2009-2010.Methods.Central line-associated bloodstream infections, catheter-associated urinary tract infections, ventilator-associated pneumonia, and surgical site infections were included. Pooled mean proportions of isolates interpreted as resistant (or, in some cases, nonsusceptible) to selected antimicrobial agents were calculated by type of HAI and compared to historical data.Results.Overall, 2,039 hospitals reported 1 or more HAIs; 1,749 (86%) were general acute care hospitals, and 1,143 (56%) had fewer than 200 beds. There were 69,475 HAIs and 81,139 pathogens reported. Eight pathogen groups accounted for about 80% of reported pathogens: Staphylococcus aureus (16%), Enterococcus spp. (14%), Escherichia coli (12%), coagulase-negative staphylococci (11%), Candida spp. (9%), Klebsiella pneumoniae (and Klebsiella oxytoca; 8%), Pseudomonas aeruginosa (8%), and Enterobacter spp. (5%). The percentage of resistance was similar to that reported in the previous 2-year period, with a slight decrease in the percentage of S. aureus resistant to oxacillins (MRSA). Nearly 20% of pathogens reported from all HAIs were the following multidrug-resistant phenotypes: MRSA (8.5%); vancomycin-resistant Enterococcus (3%); extended-spectrum cephalosporin-resistant K. pneumoniae and K. oxytoca (2%), E. coli (2%), and Enterobacter spp. (2%); and carbapenem-resistant P. aeruginosa (2%), K. pneumoniae/oxytoca (<1%), E, coli (<1%), and Enterobacter spp. (<1%). Among facilities reporting HAIs with 1 of the above gram-negative bacteria, 20%-40% reported at least 1 with the resistant phenotype.Conclusion.While the proportion of resistant isolates did not substantially change from that in the previous 2 years, multidrug-resistant gram-negative phenotypes were reported from a moderate proportion of facilities.


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