Antimicrobial-Resistant Pathogens Associated With Healthcare-Associated Infections: Annual Summary of Data Reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2006–2007

2008 ◽  
Vol 29 (11) ◽  
pp. 996-1011 ◽  
Author(s):  
Alicia I. Hidron ◽  
Jonathan R. Edwards ◽  
Jean Patel ◽  
Teresa C. Horan ◽  
Dawn M. Sievert ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Antimicrobial Agents ◽  
Healthcare Associated Infections ◽  
E Coli ◽  
National Healthcare ◽  
Carbapenem Resistant ◽  
National Healthcare Safety Network ◽  
Extended Spectrum ◽  
Tract Infections ◽  
Healthcare Associated

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.

scholarly journals Antimicrobial-Resistant Pathogens Associated with Healthcare-Associated Infections Summary of Data Reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2009–2010

2013 ◽  
Vol 34 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Dawn M. Sievert ◽  
Philip Ricks ◽  
Jonathan R. Edwards ◽  
Amy Schneider ◽  
Jean Patel ◽  
...  
Keyword(s):  
Antimicrobial Agents ◽  
Klebsiella Oxytoca ◽  
Multidrug Resistant ◽  
Healthcare Associated Infections ◽  
Gram Negative ◽  
E Coli ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Tract Infections ◽  
Healthcare Associated

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.

scholarly journals Antimicrobial-resistant pathogens associated with adult healthcare-associated infections: Summary of data reported to the National Healthcare Safety Network, 2015–2017

2019 ◽  
Vol 41 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Lindsey M. Weiner-Lastinger ◽  
Sheila Abner ◽  
Jonathan R. Edwards ◽  
Alexander J. Kallen ◽  
Maria Karlsson ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Acute Care ◽  
Acute Care Hospitals ◽  
Healthcare Associated Infections ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Location Type

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.

scholarly journals Antimicrobial-resistant pathogens associated with pediatric healthcare-associated infections: Summary of data reported to the National Healthcare Safety Network, 2015–2017

2019 ◽  
Vol 41 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Lindsey M. Weiner-Lastinger ◽  
Sheila Abner ◽  
Andrea L. Benin ◽  
Jonathan R. Edwards ◽  
Alexander J. Kallen ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Pediatric Patients ◽  
Healthcare Associated Infections ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Resistance Patterns ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Location Type ◽  
Pediatric Healthcare

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.

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 ◽  
...  
Keyword(s):  
Intensive Care ◽  
Antimicrobial Resistance ◽  
Intensive Care Units ◽  
Healthcare Associated Infections ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Resistance Patterns ◽  
Tract Infections ◽  
Healthcare Associated ◽  
Resistance Data

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

scholarly journals Antimicrobial resistance pattern in healthcare-associated infections: investigation of in-hospital risk factors

2021 ◽  
Author(s):  
Mohammad Masoud Emami Meybodi ◽  
Abbas Rahimi Foroushani ◽  
Masoome Zolfaghari ◽  
Alireza Abdollahi ◽  
Abbas Alipour ◽  
...  
Keyword(s):  
Risk Factors ◽  
Antimicrobial Resistance ◽  
Antimicrobial Agents ◽  
Resistance Pattern ◽  
Healthcare Associated Infections ◽  
Efficient Treatment ◽  
E Coli ◽  
Causative Agents ◽  
Healthcare Associated ◽  
Hospital Wards

Background and Objectives: Antimicrobial resistance (AMR) is an increasing threat for efficient treatment of infections. Determining the epidemiology of healthcare-associated infections and causative agents in various hospital wards helps appropriate selection of antimicrobial agents. Materials and Methods: This retrospective study was performed by analyzing antibiograms from March 2017 to March 2018 among patients admitted to the different wards of Imam Khomeini Hospital Complex in Tehran, Iran. Results: Among 2440 hospital acquired infections, 59.3% were Gram-negative bacilli: E. coli (n = 469, 22.2%), K. pneumoniae (n = 457, 21.7%), Acinetobacter spp. (n = 282, 13.4%), P. aeruginosa (n = 139, 6.6%) and important Gram-positive bacteria were Enterococcus spp. (n = 216, 10.2%), S. aureus (n = 148, 7%), S. epidermidis (n = 118, 5.6). Generally, there was a high antimicrobial resistance in bacterial isolates in this study. Methicillin resistant Staphylococcus aureus (MRSA) was 56.3 % and MRSE 62.9 %. Vancomycin resistant enterococci (VRE) was 60.7%. K. pneumoniae- ESBL was 79.6% and its resistance to carbapenem was 38.4%. E. coli-ESBL was 42% and its resistance to carbapenems was 2.3%. P. aeruginosa resistance to ceftazidime was 74.4%, to fluroquinolones 63.3%, to aminoglycosides 64.8%, to piperacillin tazobactam 47.6% and to carbapenems 62.1%. Acinetobacter baumannii resistance to ceftazidime was 98.7%, to fluroquinolones 97%, to aminoglycosides 95.9%, to ampicillin sulbactam 84%, to carbapenems 96.4% and to colistin 4%. Conclusion: The study revealed an alarming rate of resistance to the commonly used antimicrobial agents used in treating HAIs. Also the relationship between AMR and some risk factors and thus taking steps towards controlling them have been shown.

scholarly journals Targeted Assessment for Prevention of Healthcare-Associated Infections: A New Prioritization Metric

2015 ◽  
Vol 36 (12) ◽  
pp. 1379-1384 ◽  
Author(s):  
Minn M. Soe ◽  
Carolyn V. Gould ◽  
Daniel Pollock ◽  
Jonathan Edwards
Keyword(s):  
Urinary Tract Infection ◽  
Urinary Tract ◽  
Urinary Tract Infections ◽  
Healthcare Associated Infections ◽  
Healthcare Facilities ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Infection Reduction ◽  
Tract Infections ◽  
Healthcare Associated

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

scholarly journals Antimicrobial-Resistant Pathogens Associated With Healthcare-Associated Infections: Summary of Data Reported to the National Healthcare Safety Network at the Centers for Disease Control and Prevention, 2011–2014

2016 ◽  
Vol 37 (11) ◽  
pp. 1288-1301 ◽  
Author(s):  
Lindsey M. Weiner ◽  
Amy K. Webb ◽  
Brandi Limbago ◽  
Margaret A. Dudeck ◽  
Jean Patel ◽  
...  
Keyword(s):  
Antimicrobial Resistance ◽  
Disease Control ◽  
Acute Care ◽  
Surgical Site Infections ◽  
Acute Care Hospitals ◽  
Healthcare Associated Infections ◽  
National Healthcare ◽  
National Healthcare Safety Network ◽  
Resistance Patterns ◽  
Healthcare Associated

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

scholarly journals 2467. Inferring Strain Type Attribution from Antibiotic Resistance Profiles among E. coli Causing Healthcare-Associated Infections in the United States, 2013–2017

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S854-S854
Author(s):  
Athena P Kourtis ◽  
Joseph D Lutgring ◽  
Edward Sheriff ◽  
Alison L Halpin ◽  
James Rasheed ◽  
...  
Keyword(s):  
United States ◽  
Laboratory Data ◽  
The United States ◽  
Targeted Prevention ◽  
Healthcare Associated Infections ◽  
E Coli ◽  
Laboratory Surveillance ◽  
Strain Type ◽  
Tract Infections ◽  
Healthcare Associated

Abstract Background E. coli is a leading cause of healthcare-associated infections; clonal group ST131, which has expanded worldwide with notable increased severity of infections, is commonly resistant to extended-spectrum cephalosporins (ESC) and fluoroquinolones (FQ). Herein, we relate ESC and FQ resistance profiles from CDC’s National Healthcare Safety Network (NHSN) with specific strain types from CDC laboratory surveillance collections. Methods NHSN isolate and antibiotic susceptibility testing data were collected from all E. coli associated with central line-associated bloodstream infections, catheter-associated urinary tract infections, ventilator-associated events, or surgical site infections from 2013–2017. Resistance was scored as non-susceptibility to at least one drug per class [susceptible (S); resistant (R)]. ESC and FQ susceptibilities and multilocus sequence types (ST) using the Achtman 7 loci scheme were determined for a contemporaneous set of E. coli isolates collected through CDC laboratory surveillance. Results Of 96,672 E. coli infections reported to NHSN, 13% were ESC-R/FQ-R, 23% ESC-S/FQ-R, 4% ESC-R/FQ-S, and 60% were ESC-S/FQ-S. Among 105 ESC-R/FQ-R and 21 ESC-S/FQ-R laboratory isolates, the majority (67.6% and 52.4%, respectively) were ST131, whereas of 38 ESC-R/FQ-S and 53 ESC-S/FQ-S isolates, ST131 was a minority (18.4% and 7.5%, respectively). The odds of an isolate being ST131 were 10.5 if FQ-R (P < 0.001), 3.4 if ESC-R (P < 0.001), and 6.0 if ESC-R/FQ-R (P < 0.001). Using the national distribution of resistance combinations from NHSN, and assuming static ST-resistance distribution, we can infer that ST131 was responsible for 25.8% (95% CI, 23.9%-27.6%) of all E.coli healthcare-associated infections in the United States in 2013–2017. Conclusion Molecular inferences generated by applying laboratory data to resistance signature data in reportable datasets may make national E. coli ST burden estimates possible. Further characterization of resistance combinations with strain type, infection rates, and clinical outcomes may inform targeted prevention strategies at the local/regional level. Disclosures All authors: No reported disclosures.

scholarly journals Water as a Source of Antimicrobial Resistance and Healthcare-Associated Infections

Pathogens ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 667
Author(s):  
Claire Hayward ◽  
Kirstin E. Ross ◽  
Melissa H. Brown ◽  
Harriet Whiley
Keyword(s):  
Antimicrobial Resistance ◽  
Hot Spot ◽  
Developed Countries ◽  
Healthcare Associated Infections ◽  
Carbapenem Resistant ◽  
The Us ◽  
Waterborne Infection ◽  
Healthcare Associated ◽  
Carbapenem Resistant Enterobacteriaceae

Healthcare-associated infections (HAIs) are one of the most common patient complications, affecting 7% of patients in developed countries each year. The rise of antimicrobial resistant (AMR) bacteria has been identified as one of the biggest global health challenges, resulting in an estimated 23,000 deaths in the US annually. Environmental reservoirs for AMR bacteria such as bed rails, light switches and doorknobs have been identified in the past and addressed with infection prevention guidelines. However, water and water-related devices are often overlooked as potential sources of HAI outbreaks. This systematic review examines the role of water and water-related devices in the transmission of AMR bacteria responsible for HAIs, discussing common waterborne devices, pathogens, and surveillance strategies. AMR strains of previously described waterborne pathogens including Pseudomonas aeruginosa, Mycobacterium spp., and Legionella spp. were commonly isolated. However, methicillin-resistant Staphylococcus aureus and carbapenem-resistant Enterobacteriaceae that are not typically associated with water were also isolated. Biofilms were identified as a hot spot for the dissemination of genes responsible for survival functions. A limitation identified was a lack of consistency between environmental screening scope, isolation methodology, and antimicrobial resistance characterization. Broad universal environmental surveillance guidelines must be developed and adopted to monitor AMR pathogens, allowing prediction of future threats before waterborne infection outbreaks occur.

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