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ABSTRACT: (See the commentary by Dixon-Woods and Perencevich, on pages 555-557 .) Objective. Recent studies have demonstrated that central line-associated bloodstream infections (CLABSIs) are preventable through implementation of evidence-based prevention practices. Hospitals have reported CLABSI data to the Centers for Disease Control and Prevention (CDC) since the 1970s, providing an opportunity to characterize the national impact of CLABSIs over time. Our objective was to describe changes in the annual number of CLABSIs in critical care patients in the United States. Design. Monte Carlo simulation. Setting. US acute care hospitals. Patients. Nonneonatal critical care patients. Methods. We obtained administrative data on patient-days for nearly all US hospitals and applied CLABSI rates from the National Nosocomial Infections Surveillance and the National Healthcare Safety Network systems to estimate the annual number of CLABSIs in critical care patients nationally during the period 1990-2010 and the number of CLABSIs prevented since 1990. Results. We estimated that there were between 462,000 and 636,000 CLABSIs in nonneonatal critical care patients in the United States during 1990-2010. CLABSI rate reductions led to between 104,000 and 198,000 fewer CLABSIs than would have occurred if rates had remained unchanged since 1990. There were 15,000 hospital-onset CLABSIs in nonneonatal critical care patients in 2010; 70% occurred in medium and large teaching hospitals. Conclusions. Substantial progress has been made in reducing the occurrence of CLABSIs in US critical care patients over the past 2 decades. The concentration of critical care CLABSIs in medium and large teaching hospitals suggests that a targeted approach may be warranted to continue achieving reductions in critical care CLABSIs nationally.
Infection Control and Hospital Epidemiology 06/2013; 34(6):547-54. · 3.67 Impact Factor
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American journal of infection control 04/2013; 41(4):286-300. · 3.01 Impact Factor
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ABSTRACT: 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.
Infection Control and Hospital Epidemiology 01/2013; 34(1):1-14. · 3.67 Impact Factor
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ABSTRACT: Objective. To describe rates and pathogen distribution of device-associated infections (DAIs) in neonatal intensive care unit (NICU) patients and compare differences in infection rates by hospital type (children's vs general hospitals). Patients and setting. Neonates in NICUs participating in the National Healthcare Safety Network from 2006 through 2008. Methods. We analyzed central line-associated bloodstream infections (CLABSIs), umbilical catheter-associated bloodstream infections (UCABs), and ventilator-associated pneumonia (VAP) among 304 NICUs. Differences in pooled mean incidence rates were examined using Poisson regression; nonparametric tests for comparing medians and rate distributions were used. Results. Pooled mean incidence rates by birth weight category (750 g or less, 751-1,000 g, 1,001-1,500 g, 1,501-2,500 g, and more than 2,500 g, respectively) were 3.94, 3.09, 2.25, 1.90, and 1.60 for CLABSI; 4.52, 2.77, 1.70, 0.91, and 0.92 for UCAB; and 2.36, 2.08, 1.28, 0.86, and 0.72 for VAP. When rates of infection between hospital types were compared, only pooled mean VAP rates were significantly lower in children's hospitals than in general hospitals among neonates weighing 1,000 g or less; no significant differences in medians or rate distributions were noted. Pathogen frequencies were coagulase-negative staphylococci (28%), Staphylococcus aureus (19%), and Candida species (13%) for bloodstream infections and Pseudomonas species (16%), S. aureus (15%), and Klebsiella species (14%) for VAP. Of 673 S. aureus isolates with susceptibility results, 33% were methicillin resistant. Conclusions. Neonates weighing 750 g or less had the highest DAI incidence. With the exception of VAP, pooled mean NICU incidence rates did not differ between children's and general hospitals. Pathogens associated with these infections can pose treatment challenges; continued efforts at prevention need to be applied to all NICU settings.
Infection Control and Hospital Epidemiology 12/2012; 33(12):1200-6. · 3.67 Impact Factor
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ABSTRACT: Objective. To evaluate national data on healthcare-associated infections (HAIs), device utilization, and antimicrobial resistance in long-term acute care hospitals (LTACHs). Design and setting. Comparison of data from LTACHs and from medical and medical-surgical intensive care units (ICUs) in short-stay acute care hospitals reporting to the National Healthcare Safety Network (NHSN) during 2010. Methods. Rates of central line-associated bloodstream infections (CLABSIs), catheter-associated urinary tract infections (CAUTIs), and ventilator-associated pneumonia (VAP) as well as device utilization ratios were calculated. For each HAI, pathogen profiles and antimicrobial resistance prevalence were evaluated. Comparisons were made using Poisson regression and the Mood median and χ(2) tests. Results. In 2010, 104 LTACHs reported CLABSIs and 57 reported CAUTIs and VAP to the NHSN. Median CLABSI rates in LTACHs (1.25 events per 1,000 device-days reported; range, 0.0-5.96) were comparable to rates in major teaching ICUs and were higher than those in other ICUs. CAUTI rates in LTACHs (median, 2.61; range, 0.0-9.92) were higher and VAP rates (median, 0.0; range, 0.0-3.29) were generally lower than those in ICUs. Central line utilization in LTACHs was higher than that in ICUs, whereas urinary catheter and ventilator utilization was lower. Methicillin resistance among Staphylococcus aureus CLABSIs (83%) and vancomycin resistance among Enterococcus faecalis CAUTIs (44%) were higher in LTACHs than in ICUs. Multidrug resistance among Pseudomonas aeruginosa CAUTIs (25%) was higher in LTACHs than in most ICUs. Conclusions. CLABSIs and CAUTIs associated with multidrug-resistant organisms present a challenge in LTACHs. Continued HAI surveillance with pathogen-level data can guide prevention efforts in LTACHs.
Infection Control and Hospital Epidemiology 10/2012; 33(10):993-1000. · 3.67 Impact Factor
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ABSTRACT: To assess trends in incidence of Candida spp. central line-associated bloodstream infections (CLABSIs) in US NICUs, 1999-2009.
Data from NICUs participating in the National Nosocomial Infections Surveillance (1999-2004) and National Healthcare Safety Network (2006-2009) were analyzed. Overall and birth weight-specific incidence rates of Candida spp. CLABSIs per 1000 central line-days were calculated. Trends in incidence were assessed by using Poisson regression, and trends in proportion of CLABSIs identified as Candida albicans were assessed by using weighted-linear regression.
Overall, 398 NICUs reported 1407 Candida spp. CLABSIs (706 due to C albicans) among 1400 neonates. Of the 1400 neonates, 963 (69%) were ≤ 1000 g at the time of birth, and 182 (13%) died. From 1999 to 2009, the overall incidence decreased significantly for CLABSIs due to Candida spp. (0.92 vs 0.2), C albicans (0.53 vs 0.09), and non-albicans Candida spp. (0.39 vs 0.1). Birth weight-specific incidence significantly decreased across all birth weight categories for C albicans. For CLABSIs due to non-albicans Candida spp., significant decreases were detected among all birth weight categories, except among neonates 1501 to 2500 g. The proportion of Candida spp. CLABSIs due to C albicans did not significantly change over time, remaining at ~50%.
Incidence of Candida spp. CLABSIs decreased substantially among NICU patients, regardless of birth weight. Decreases in incidence across all birth weight categories, and not only among neonates ≤ 1000 g in whom antifungal prophylaxis may be more common, suggest that multiple factors contributed to the declining incidence.
PEDIATRICS 06/2012; 130(1):e46-52. · 4.47 Impact Factor
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ABSTRACT: The objective was to develop a new National Healthcare Safety Network (NHSN) risk model for sternal, deep incisional, and organ/space (complex) surgical site infections (SSIs) following coronary artery bypass graft (CABG) procedures, detected on admission and readmission, consistent with public reporting requirements.
A total of 133,503 CABG procedures with 4,008 associated complex SSIs reported by 293 NHSN hospitals in the United States.
CABG procedures performed from January 1, 2006, through December 31, 2008, were analyzed. Potential SSI risk factors were identified by univariate analysis. Multivariate analysis with forward stepwise logistic regression modeling was used to develop the new model. The c-index was used to compare the predictive power of the new and NHSN risk index models.
Multivariate analysis independent risk factors included ASA score, procedure duration, female gender, age, and medical school affiliation. The new risk model has significantly improved predictive performance over the NHSN risk index (c-index, 0.62 and 0.56, respectively).
Traditionally, the NHSN surveillance system has used a risk index to provide procedure-specific risk-stratified SSI rates to hospitals. A new CABG sternal, complex SSI risk model developed by multivariate analysis has improved predictive performance over the traditional NHSN risk index and is being considered for endorsement as a measure for public reporting.
Infection Control and Hospital Epidemiology 05/2012; 33(5):463-9. · 3.67 Impact Factor
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American journal of infection control 12/2011; 39(10):798-816. · 3.01 Impact Factor
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ABSTRACT: The National Healthcare Safety Network (NHSN) has provided simple risk adjustment of surgical site infection (SSI) rates to participating hospitals to facilitate quality improvement activities; improved risk models were developed and evaluated.
Data reported to the NHSN for all operative procedures performed from January 1, 2006, through December 31, 2008, were analyzed. Only SSIs related to the primary incision site were included. A common set of patient- and hospital-specific variables were evaluated as potential SSI risk factors by univariate analysis. Some ific variables were available for inclusion. Stepwise logistic regression was used to develop the specific risk models by procedure category. Bootstrap resampling was used to validate the models, and the c-index was used to compare the predictive power of new procedure-specific risk models with that of the models with the NHSN risk index as the only variable (NHSN risk index model).
From January 1, 2006, through December 31, 2008, 847 hospitals in 43 states reported a total of 849,659 procedures and 16,147 primary incisional SSIs (risk, 1.90%) among 39 operative procedure categories. Overall, the median c-index of the new procedure-specific risk was greater (0.67 [range, 0.59-0.85]) than the median c-index of the NHSN risk index models (0.60 [range, 0.51-0.77]); for 33 of 39 procedures, the new procedure-specific models yielded a higher c-index than did the NHSN risk index models.
A set of new risk models developed using existing data elements collected through the NHSN improves predictive performance, compared with the traditional NHSN risk index stratification.
Infection Control and Hospital Epidemiology 10/2011; 32(10):970-86. · 3.67 Impact Factor
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ABSTRACT: Over the past 2 decades, multiple interventions have been developed to prevent catheter-associated urinary tract infections (CAUTIs). The CAUTI prevention guidelines of the Healthcare Infection Control Practices Advisory Committee were recently revised.
To examine changes in rates of CAUTI events in adult intensive care units (ICUs) in the United States from 1990 through 2007.
Data were reported to the Centers for Disease Control and Prevention (CDC) through the National Nosocomial Infections Surveillance System from 1990 through 2004 and the National Healthcare Safety Network from 2006 through 2007. Infection preventionists in participating hospitals used standard methods to identify all CAUTI events (categorized as symptomatic urinary tract infection [SUTI] or asymptomatic bacteriuria [ASB]) and urinary catheter-days (UC-days) in months selected for surveillance. Data from all facilities were aggregated to calculate pooled mean annual SUTI and ASB rates (in events per 1,000 UC-days) by ICU type. Poisson regression was used to estimate percent changes in rates over time.
Overall, 36,282 SUTIs and 22,973 ASB episodes were reported from 367 facilities representing 1,223 adult ICUs, including combined medical/surgical (505), medical (212), surgical (224), coronary (173), and cardiothoracic (109) ICUs. All ICU types experienced significant declines of 19%-67% in SUTI rates and 29%-72% in ASB rates from 1990 through 2007. Between 2000 and 2007, significant reductions in SUTI rates occurred in all ICU types except cardiothoracic ICUs.
Since 1990, CAUTI rates have declined significantly in all major adult ICU types in facilities reporting to the CDC. Further efforts are needed to assess prevention strategies that might have led to these decreases and to implement new CAUTI prevention guidelines.
Infection Control and Hospital Epidemiology 08/2011; 32(8):748-56. · 3.67 Impact Factor
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American journal of infection control 06/2011; 39(5):349-67. · 3.01 Impact Factor
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ABSTRACT: Since some strains of Brucella species may require carbon dioxide for growth, a multilaboratory study was conducted to compare broth microdilution susceptibility results using ambient air (AA) and 5% CO2 incubation conditions. Six antimicrobial agents were tested against 39 Brucella isolates. Aminoglycoside MICs tended to be 1 log2 dilution higher in CO2 than in AA; tetracycline-class MICs to be 1 log2 dilution lower in CO2.
Journal of clinical microbiology 03/2010; 48(3):952-6. · 4.16 Impact Factor
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American journal of infection control 12/2009; 37(10):783-805. · 3.01 Impact Factor
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ABSTRACT: Concerns about rates of methicillin-resistant Staphylococcus aureus (MRSA) health care-associated infections have prompted calls for mandatory screening or reporting in efforts to reduce MRSA infections.
To examine trends in the incidence of MRSA central line-associated bloodstream infections (BSIs) in US intensive care units (ICUs).
Data reported by hospitals to the Centers for Disease Control and Prevention (CDC) from 1997-2007 were used to calculate pooled mean annual central line-associated BSI incidence rates for 7 types of adult and non-neonatal pediatric ICUs. Percent MRSA was defined as the proportion of S aureus central line-associated BSIs that were MRSA. We used regression modeling to estimate percent changes in central line-associated BSI metrics over the analysis period.
Incidence rate of central line-associated BSIs per 1000 central line days; percent MRSA among S. aureus central line-associated BSIs.
Overall, 33,587 central line-associated BSIs were reported from 1684 ICUs representing 16,225,498 patient-days of surveillance; 2498 reported central line-associated BSIs (7.4%) were MRSA and 1590 (4.7%) were methicillin-susceptible S. aureus (MSSA). Of evaluated ICU types, surgical, nonteaching-affiliated medical-surgical, cardiothoracic, and coronary units experienced increases in MRSA central line-associated BSI incidence in the 1997-2001 period; however, medical, teaching-affiliated medical-surgical, and pediatric units experienced no significant changes. From 2001 through 2007, MRSA central line-associated BSI incidence declined significantly in all ICU types except in pediatric units, for which incidence rates remained static. Declines in MRSA central line-associated BSI incidence ranged from -51.5% (95% CI, -33.7% to -64.6%; P < .001) in nonteaching-affiliated medical-surgical ICUs (0.31 vs 0.15 per 1000 central line days) to -69.2% (95% CI, -57.9% to -77.7%; P < .001) in surgical ICUs (0.58 vs 0.18 per 1000 central line days). In all ICU types, MSSA central line-associated BSI incidence declined from 1997 through 2007, with changes in incidence ranging from -60.1% (95% CI, -41.2% to -73.1%; P < .001) in surgical ICUs (0.24 vs 0.10 per 1000 central line days) to -77.7% (95% CI, -68.2% to -84.4%; P < .001) in medical ICUs (0.40 vs 0.09 per 1000 central line days). Although the overall proportion of S. aureus central line-associated BSIs due to MRSA increased 25.8% (P = .02) in the 1997-2007 period, overall MRSA central line-associated BSI incidence decreased 49.6% (P < .001) over this period.
The incidence of MRSA central line-associated BSI has been decreasing in recent years in most ICU types reporting to the CDC. These trends are not apparent when only percent MRSA is monitored.
JAMA The Journal of the American Medical Association 02/2009; 301(7):727-36. · 30.03 Impact Factor
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American journal of infection control 12/2008; 36(9):609-26. · 3.01 Impact Factor
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ABSTRACT: 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).
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.
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.
Infection Control and Hospital Epidemiology 12/2008; 29(11):996-1011. · 3.67 Impact Factor
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ABSTRACT: We used data reported from US hospitals to the National Nosocomial Infection Surveillance System of the Centers for Disease Control and Prevention for 3 specific infections: Staphylococcus aureus bloodstream infections, Pseudomonas aeruginosa pneumonias, and Escherichia coli urinary tract infections. We evaluated the proportion of infections with antimicrobial-resistant isolates and the relative risk of death associated with the resistant pathogen in the period 2000-2004, compared with the period 1990-1994. The proportion of antimicrobial-resistant infections increased, but there was no change in the relative risk of death between the 2 periods.
Clinical Infectious Diseases 11/2008; 47(7):927-30. · 9.15 Impact Factor
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ABSTRACT: Efforts are underway at the Centers for Disease Control and Prevention to foster greater use of electronic data stored in health care application databases for surveillance of health care-associated infections and antimicrobial use and resistance. These efforts, referred to as the National Healthcare Safety Network (NHSN) eSurveillance Initiative, focus on standards-based solutions for conveying health care data and validation processes to confirm that the data received at the Centers for Disease Control and Prevention accurately reflect the data transmitted by health care facilities. Standard vehicles for data transmission, specifically Health Level Seven standards for electronic messages and structured documents, and standard vocabularies for representing microorganisms and other information needed for surveillance, are central features of the eSurveillance Initiative. Progress to date in this initiative is reviewed, and future project plans are outlined. Enhanced interoperability between health care and public health information systems is achievable for surveillance purposes, but major challenges must be overcome to realize the full benefits sought by the eSurveillance Initiative.
American journal of infection control 05/2008; 36(3 Suppl):S21-6. · 3.01 Impact Factor
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ABSTRACT: To describe methods to assess the practical impact of risk adjustment for central line-days on the interpretation of central line-associated bloodstream infection (BSI) rates, because collecting these data is often burdensome.
We analyzed data from 247 hospitals that reported to the adult and pediatric intensive care unit component of the National Nosocomial Infections Surveillance System from 1995 through 2003. For each unit each year, we calculated the percentile error as the absolute value of the difference between the percentile based on a risk-adjusted or more-sophisticated measure (eg, the central line-day rate) and the percentile based on a crude or less-sophisticated measure (eg, the patient-day rate). Using rate per central line-day as the "gold standard," we calculated performance characteristics (eg, sensitivity and predictive values) of rate per patient-day for finding central line-associated BSI rates higher or lower than the mean. Greater impact of risk adjustment is indicated by higher values for percentile error and lower values for performance characteristics.
The median percentile error was +/-7 (i.e., the percentile based on central line-days could be 7% higher or lower than the percentile based on patient-days). This error was less than 10 percentile points for 62% of the unit-years, was between 10 and 19 percentile points for 22% of the unit-years, and was 20 percentile points or more for 15% of the unit-years. Use of the rate based on patient-days had a sensitivity of 76% and a positive predictive value of 61% for detecting a significantly high or low central line-associated BSI rate.
We found that risk adjustment for central line-days has an important impact on the calculated central line-associated BSI percentile for some units. Similar methods can be used to evaluate the impact of other risk adjustment methods. Our results support current recommendations to use central line-days for surveillance of central line-associated BSI when comparisons are made among facilities.
Infection Control and Hospital Epidemiology 10/2007; 28(9):1025-9. · 3.67 Impact Factor
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American Journal of Infection Control 07/2007; 35(5):290-301. · 2.40 Impact Factor
