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Volume 23, Number 11—November 2017
Research

Antimicrobial Nonsusceptibility of Gram-Negative Bloodstream Isolates, Veterans Health Administration System, United States, 2003–20131

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Methods
Results
Discussion
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Figures
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Figure 2
Figure 3
Figure 4
Tables
Table 1
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Author affiliations: Iowa City Veterans Affairs Health Care System, Iowa City, Iowa, USA (M. Goto, J.S. McDanel, D.J. Livorsi, M.E. Ohl, B.F. Beck, K.K. Richardson, B. Alexander, E.N. Perencevich); University of Iowa Carver College of Medicine, Iowa City (M. Goto, J.S. McDanel, D.J. Livorsi, M.E. Ohl, E.N. Perencevich); Salt Lake City Veterans Affairs Health Care System, Salt Lake City, Utah, USA (M.M. Jones); University of Utah School of Medicine, Salt Lake City USA (M.M. Jones)

Cite This Article

Abstract

Bacteremia caused by gram-negative bacteria is associated with serious illness and death, and emergence of antimicrobial drug resistance in these bacteria is a major concern. Using national microbiology and patient data for 2003–2013 from the US Veterans Health Administration, we characterized nonsusceptibility trends of community-acquired, community-onset; healthcare-associated, community-onset; and hospital-onset bacteremia for selected gram-negative bacteria (Escherichia coli, Klebsiella spp., Pseudomonas aeruginosa, and Acinetobacter spp.). For 47,746 episodes of bacteremia, the incidence rate was 6.37 episodes/10,000 person-years for community-onset bacteremia and 4.53 episodes/10,000 patient-days for hospital-onset bacteremia. For Klebsiella spp., P. aeruginosa, and Acinetobacter spp., we observed a decreasing proportion of nonsusceptibility across nearly all antimicrobial drug classes for patients with healthcare exposure; trends for community-acquired, community-onset isolates were stable or increasing. The role of infection control and antimicrobial stewardship efforts in inpatient settings in the decrease in drug resistance rates for hospital-onset isolates needs to be determined.

Despite advances in public health and medical care, bacteremia is still a major cause of illness and death (1–3). Bacteremia caused by gram-negative bacteria is a frequent cause of severe sepsis and septic shock (4,5) and poses serious therapeutic challenges. Treatment options are limited because of increased infections with multidrug-resistant, gram-negative bacteria in community and hospital settings. Understanding the epidemiology of infections with gram-negative bacteria is needed to improve guidelines providing empiric therapy recommendations and adequately allocate resources toward infection control and antimicrobial stewardship programs.

Descriptions of the epidemiology of gram-negative bacteremia have been limited by care settings, referral bias, small geographic regions, short study duration, or case identification by use of administrative code data (6–10). As modern healthcare systems become increasingly diverse and complex, large-scale studies are needed that accurately estimate the burden of antimicrobial resistance and chronologic trends of gram-negative bacteremia (11–13).

The Veterans Health Administration (VHA) is the largest healthcare system in the United States and has ≈8 million veterans enrolled (14). The VHA uses an integrated electronic health record and a nationwide data repository. Microbiological results from all VHA facilities have been added to the data repository, which enables identification of all cases of gram-negative bacteremia across the entire VHA system. These results enable examination of national trends in gram-negative bacteremia in a geographically dispersed and diverse population.

We previously reported incidence rates of community-onset and hospital-onset bacteremia caused by 3 species of gram-negative bacteria in a cohort of patients admitted to the VHA system during 2003–2013 (15). In this article, we expand on that study by reporting trends in antimicrobial nonsusceptibility (intermediate or resistant) among bacteremia isolates of 4 selected gram-negative bacteria (Escherichia coli, Klebsiella spp., Pseudomonas aeruginosa, and Acinetobacter spp.) in the national VHA healthcare system.

Methods

Study Population

We analyzed a retrospective cohort of all veterans who were admitted to acute-care units at VHA hospitals during January 2003–December 2013 and who had positive blood cultures for E. coli, Klebsiella spp., P. aeruginosa, or Acinetobacter spp. between 48 hours before admission and time of discharge. We used these 4 bacterial species a priori because studies consistently showed that these organisms represent most gram-negative bacteria causing bacteremia across various healthcare settings (3,16–22). If 1 patient had multiple positive blood cultures for the same species during 1 hospital admission, we included only the first isolate. To estimate the population at risk for community-onset bacteremia, we identified the number of veterans who had visited VHA clinics and emergency departments inside the catchment areas of acute inpatient care facilities by calendar year (outpatient denominator for community-onset bacteremia). To estimate the population at risk for hospital-onset bacteremia, we calculated patient-days in acute inpatient care units (inpatient denominator for hospital-onset bacteremia).

Data for 130 VHA acute-care hospitals in the 48 contiguous states, the District of Columbia, and Puerto Rico were used in this study (23). Using the US Department of Agriculture and Department of Health and Human Services Rural-Urban Commuting Areas System, we found that 107 facilities were located in urban areas, 22 in rural areas, and 1 in a highly rural area (24). These VA hospitals also serve as referral centers for >1,400 outreach clinics. Acute inpatient capacities were 10–260 beds. Total acute inpatient capacity was ≈10,000 acute-care beds, including 1,900 authorized intensive care unit beds (25). We did not include stays at mental health, rehabilitation, and nursing home care units. All but 3 included hospitals have on-site microbiology laboratories, and they are required to conduct quality control/quality assessment routinely per requirements of VHA-designated accreditation organizations and to use methods and equipment approved by the Food and Drug Administration (FDA; Silver Spring, MD, USA).

The institutional review board at the University of the Iowa and the research and development committee of Iowa City Veterans Affairs Health Care System approved this study. A waiver of informed consent was issued for this retrospective analysis.

Data Source

We obtained data through Veterans Affairs Informatics and Computing Infrastructure, which includes data extracted from the VHA integrated electronic medical record system. Susceptibility results in microbiology reports (susceptible/intermediate/resistant) were recorded in a standardized manner, and isolates were classified as nonsusceptible if they were reported as intermediate resistance or resistant. MICs or sizes of inhibition zones were not typically available.

Definitions

Bacteremia episodes were classified according to Centers for Diseases Control and Prevention (Atlanta, GA, USA) criteria as community-onset and hospital-onset. This classification was based on time of the first positive blood culture as a standard definition (26).

An episode of bacteremia was considered to be community-onset when the first positive blood culture was collected between 48 hours before and <48 hours after admission. For episodes of hospital-onset bacteremia, the first positive blood culture was collected >48 hours after admission.

We further categorized community-onset bacteremia episodes as community-acquired, community-onset and healthcare-associated, community-onset on the basis of healthcare exposure in the VHA before hospital admission. Episodes were classified as healthcare-associated, community-onset when the patient had been admitted to an acute-care facility <90 days before onset of bacteremia; was a resident of a nursing home or rehabilitation facility; was receiving renal replacement therapy; or received wound care or specialized nursing care in an outpatient setting or at home in the 30 days before onset of bacteremia (19). If the patient with community-onset bacteremia did not meet these criteria, the episode was classified as community-acquired, community-onset. Information for healthcare exposure outside the VHA before admission was available only if the VHA was the payer of care.

We categorized antimicrobial drugs listed on susceptibility reports into antimicrobial classes by using interim standard definitions for acquired resistance produced by an international panel of experts from the Centers for Disease Control and Prevention and the European Centre for Disease Prevention and Control (Solna, Sweden) (27). We provide included antimicrobial agents and antimicrobial classes for each organism (Technical Appendix Tables 1–3). Isolates were considered nonsusceptible if they were not susceptible to >1 agent in an antimicrobial class (27).

Measurements

We focused primarily on annual proportions and trends of antimicrobial nonsusceptibility rates for the 4 most clinically relevant antimicrobial classes (carbapenems, extended-spectrum cephalosporins, aminoglycosides, and fluoroquinolones) used in gram-negative bacteremia management. We also evaluated incidence rates per 10,000 outpatients for community-onset bacteremia and incidence rates per 10,000 patient-days and per 1,000 admissions for hospital-onset bacteremia for each organism. To enable comparisons with previously reported studies, we calculated age-standardized incidence rates by using a direct method, used US population data for 2000 as a standard population for community-onset bacteremia (28), and reported incidence rates with 2 denominators for hospital-onset bacteremia.

Statistical Analysis

We summarized characteristics of the study population and incidence rates for all 3 categories by using descriptive statistics. We calculated 95% CIs by using the Clopper-Pearson exact method (29) for crude incidence rates. Proportions among acquisition categories were compared by using Fisher exact tests. To assess annual trends in proportions of nonsusceptible isolates, we used the Cochrane-Armitage χ2 test for trend. All p values were 2-sided, and values <0.05 were considered statistically significant. All statistical analyses were performed by using SAS version 9.4 (SAS Institute Inc., Cary, NC, USA).

Results

Study Population Demographics and Overall Incidence Rates

During 2003–2013, the VHA provided 53,576,096 person-years of outpatient care and 30,015,733 patient-days of acute inpatient care. We obtained demographic characteristics of the study population (Table 1). A total of 47,746 episodes of gram-negative bacteremia occurred during the study. Most (96.4%) patients were male, and community-acquired, community-onset cases accounted for 42.3% of cases of gram-negative bacteremia, followed by healthcare-associated, community-onset (29.2%) and hospital-onset (28.5%) (Table 2; Technical Appendix Figure 1).

Overall incidence rates from the entire study were 3.77 episodes/10,000 person-years for community-acquired, community-onset gram-negative bacteremia, 2.60 episodes/10,000 person-years for healthcare-associated, community-onset gram-negative bacteremia, and 4.53 episodes/10,000 patient-days (2.40 episodes/1,000 admissions) for hospital-onset gram-negative bacteremia. Age-standardized incidence rates were 1.92 episodes/10,000 person-years for community-acquired, community-onset gram-negative bacteremia and 1.40 episodes/10,000 person-years for healthcare-associated, community-onset gram-negative bacteremia (Technical Appendix Figures 2–4).

Trends for Antimicrobial Drug Susceptibilities

Susceptibility data were available for >96% of all organism–antimicrobial drug combinations. The only exception was carbapenem susceptibility of Acinetobacter spp., which was available for 90% of isolates tested.

E. coli

Figure 1

Thumbnail of Trends of selected antimicrobial susceptibilities for Escherichia coli isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Carbapenems, B) Extended-spectrum cephalosporins, C) Aminoglycosides, D) Fluoroquinolones. Error bars indicate 95% CIs.

Figure 1. Trends of selected antimicrobial susceptibilities for Escherichia coli isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Carbapenems, B) Extended-spectrum cephalosporins, C) Aminoglycosides, D) Fluoroquinolones. Error bars...

Carbapenem nonsusceptibility for E. coli was infrequent (0.3%) (Figure 1). However, nonsusceptibility to carbapenems increased for community-acquired, community-onset isolates (0 in 2003–2007 and 0.2% in 2008–2013, p<0.01 by test for trend). Nonsusceptibility for healthcare-associated, community-onset (p = 0.92 by test for trend) and hospital-onset (p = 0.82 by test for trend) isolates did not change.

Overall, 6.3% of E. coli isolates were nonsusceptible to extended-spectrum cephalosporins; an increasing proportion were nonsusceptible (4.1% in 2003–2007 and 7.9% in 2008–2013, p<0.01 by test for trend). Extended-spectrum cephalosporin-nonsusceptible isolates were more frequent for patients with previous or recent healthcare exposure (community-acquired, community-onset 3.9%; healthcare-associated, community-onset 9.0%, and hospital-onset 9.8%, p<0.01). The proportion of isolates that were nonsusceptible to extended-spectrum cephalosporin increased for all categories (community-acquired, community-onset; healthcare-associated, community-onset; hospital-onset, p<0.01 by test for trend).

The overall proportion of isolates that were nonsusceptible to aminoglycosides was 11.9%. Healthcare exposure was associated with higher rates of nonsusceptibility (community-acquired, community-onset 9.0%; healthcare-associated, community-onset 15.6%; hospital-onset 16.0%, p<0.01). We observed increasing nonsusceptibility rates during the study (10.5% in 2003–2007 and 12.9% in 2008–2013, p<0.01 by test for trend).

Incidence rates for fluoroquinolone-nonsusceptible isolates rapidly increased during the first half of the study and then remained stable (23.7% in 2003–2007 and 32.4% in 2008–2013, p<0.01). Fluoroquinolone-nonsusceptible isolates were more frequent in patients with healthcare exposure (community-acquired, community-onset 21.6%; healthcare-associated, community-onset 37.6%; hospital-onset 37.9%, p<0.01), and nonsusceptibility rates increased in groups with these exposures (community-acquired, community-onset; healthcare-associated, community-onset; and hospital-onset, p<0.01 by test for trend).

Klebsiella spp.

Figure 2

Thumbnail of Trends of selected antimicrobial susceptibilities for Klebsiella spp. isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Carbapenems, B) Extended-spectrum cephalosporins, C) Aminoglycosides, D) Fluoroquinolones. Error bars indicate 95% CIs.

Figure 2. Trends of selected antimicrobial susceptibilities for Klebsiella spp. isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Carbapenems, B) Extended-spectrum cephalosporins, C) Aminoglycosides, D) Fluoroquinolones. Error bars...

Carbapenem nonsusceptibility was reported for 3.0% of Klebsiella spp. isolates (Figure 2). We observed a trend toward increasing nonsusceptibility rates (2.1% in 2003–2007 and 3.7% in 2008–2013, p<0.01 by test for trend). Healthcare exposure was associated with higher rates of carbapenem nonsusceptibility (community-acquired, community-onset 0.9%; healthcare-associated, community-onset 2.2%; hospital-onset 5.6%, p<0.01).

Overall, 11.8% of isolates had nonsusceptible results to extended-spectrum cephalosporins and a relatively stable proportion of nonsusceptibility rates (12.6% in 2003–2007 and 11.2% in 2008–2013, p = 0.07 by test for trend). However, nonsusceptibility rates increased for community-acquired, community-onset isolates (p = 0.04 by test for trend) but not for healthcare-associated, community-onset (p = 0.17) and hospital-onset isolates (p = 0.21). Proportions that were nonsusceptible to extended-spectrum cephalosporins were more frequent for healthcare-associated, community-onset (10.4%) and hospital-onset (20.2%) isolates than for community-acquired, community-onset isolates (3.9%, p<0.01).

Overall, 9.8% of isolates were nonsusceptible to aminoglycosides, and a higher proportion were nonsusceptible for patients with healthcare exposure (community-acquired, community-onset 3.6%; healthcare-associated, community-onset 8.5%; hospital-onset 16.7%, p<0.01). Overall, nonsusceptibility to aminoglycosides decreased (10.9% in 2003–2007 and 9.0% in 2008–2013, p<0.01 by test for trend). However, nonsusceptibility increased for community-acquired, community-onset isolates (2.9% in 2003–2007 and 4.1% in 2008–2013, p = 0.01 by test for trend) and decreased for hospital-onset isolates (18.6% in 2003–2007 and 14.8% in 2008–2013, p<0.01 by test for trend).

Fluoroquinolone nonsusceptibility for all isolates was 12.6%, and higher proportions were observed for patients with healthcare exposure (community-acquired, community-onset 5.3%; healthcare-associated, community-onset 11.6%; hospital-onset 20.1%, p<0.01). Among all isolates, the nonsusceptible proportion was stable during the study (p = 0.12 by test for trend). However, there were increasing nonsusceptibility rates for community-acquired, community-onset isolates (4.7% in 2003–2007 and 5.6% in 2008–2013, p = 0.04 by test for trend), and there were no changes observed for other healthcare-associated, community-onset (p = 0.41) and hospital-onset (p = 0.28) isolates.

P. aeruginosa

Figure 3

Thumbnail of Trends of selected antimicrobial susceptibilities for Pseudomonas aeruginosa isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Antipseudomonal carbapenems, B) Antipseudomonal cephalosporins, C) Aminoglycosides, D) Antipseudomonal fluoroquinolones. Error bars indicate 95% CIs.

Figure 3. Trends of selected antimicrobial susceptibilities for Pseudomonas aeruginosa isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Antipseudomonal carbapenems, B) Antipseudomonal cephalosporins, C) Aminoglycosides, D) Antipseudomonal fluoroquinolones....

Antipseudomonal carbapenem nonsusceptibility was reported for 15.8% of all isolates (Figure 3). The rates for antipseudomonal carbapenem-nonsusceptible isolates were stable during the study (p = 0.66 by test for trend). For community-acquired, community-onset isolates, the proportion of nonsusceptible isolates increased (4.8% in 2003–2007 and 7.9% in 2008–2013, p = 0.03 by test for trend), but there was no significant trend for other categories (healthcare-associated, community-onset; p = 0.45 and hospital-onset; p = 0.40). Healthcare exposure was associated with higher rates of nonsusceptibility to antipseudomonal carbapenems (community-acquired, community-onset 6.6%; healthcare-associated, community-onset 10.0%; and hospital-onset 24.1%, p<0.01).

Healthcare exposure also increased nonsusceptibility to antipseudomonal extended-spectrum cephalosporins (community-acquired, community-onset 9.1%; healthcare-associated, community-onset 15.5%; hospital-onset 33.2%, p<0.01). Although 22.3% of all isolates were nonsusceptible, the proportion that were nonsusceptible decreased (24.8% in 2003–2007 and 20.0% in 2008–2013, p<0.01 by test for trend). Decreases were limited to healthcare-exposed patients (healthcare-associated, community-onset; p = 0.01 and hospital-onset; p = 0.04, but not community-acquired, community-onset; p = 0.16).

The overall rate for aminoglycoside nonsusceptible isolates was 20.6%, and nonsusceptible bacteria were more frequently isolated from patients with healthcare exposure (community-acquired, community-onset 10.7%; healthcare-associated, community-onset 16.4%; hospital-onset 28.0%, p<0.01). The overall trend was toward lower rates of nonsusceptible isolates (24.1% in 2003–2007 and 17.3% in 2008–2013, p<0.01 by test for trend). However, this trend of decreasing aminoglycoside nonsusceptibility rates was significant only for patients with healthcare exposure (community-acquired, community-onset, p = 0.14; healthcare-associated, community-onset, p<0.01; and hospital-onset, p<0.01).

The overall rate for antipseudomonal fluoroquinolone-nonsusceptible isolates was 29.6%; these isolates were obtained more frequently from patients who had healthcare-associated, community-onset (24.6%) and hospital-onset episodes (39.4%) than from patients who had community-acquired, community-onset episodes (15.4%, p<0.01). The proportion that was nonsusceptible decreased during the study (32.2% in 2003–2007 and 27.2% in 2008–2013, p<0.01 by test for trend), but this trend was significant only for patients with healthcare exposure (community-associated, p = 0.29; healthcare-associated, community-onset, p<0.01; and hospital- onset, p = 0.02).

Acinetobacter spp.

Figure 4

Thumbnail of Trends of selected antimicrobial susceptibilities for Acinetobacter spp. isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Antipseudomonal carbapenems, B) Extended-spectrum cephalosporins, C) Aminoglycosides, D) Antipseudomonal fluoroquinolones. Error bars indicate 95% CIs.

Figure 4. Trends of selected antimicrobial susceptibilities for Acinetobacter spp. isolates from patients with bacteremia, Veterans Health Administration System, United States, 2003–2013. A) Antipseudomonal carbapenems, B) Extended-spectrum cephalosporins, C) Aminoglycosides, D) Antipseudomonal fluoroquinolones....

Antipseudomonal carbapenem nonsusceptibility results were reported for 9.8% of the isolates (Figure 4). The proportion of nonsusceptible isolates was higher for isolates from patients with healthcare exposure (community-acquired, community-onset 4.1%; healthcare-associated, community-onset 9.4%; and hospital-onset 32.6%, p<0.01). The nonsusceptible proportion for hospital-onset isolates increased significantly from 15.0% in 2003 to 56.6% in 2009, but decreased to 29.7% in 2013 (trend in 2003–2009, p<0.01; trend in 2010–2013, p<0.01). The nonsusceptibility proportion for community-acquired, community-onset isolates showed a significant trend (p = 0.41), but this trend increased for healthcare-associated, community-onset isolates (5.4% in 2003–2007 and 12.1% in 2008–2013, p = 0.04).

Overall, 48.1% of isolates were nonsusceptible to extended-spectrum cephalosporins, and this proportion decreased during the study (54.3% in 2003–2007 and 42.5% in 2008–2013, p<0.01 by test for trend). This decrease was caused primarily by significant decreases in nonsusceptibility for hospital-onset isolates since 2009 (community-acquired, community-onset, p = 0.28; healthcare-associated, community-onset, p = 0.23; and hospital-onset, p<0.01). Extended-spectrum cephalosporin-nonsusceptible isolates were more frequent for patients with healthcare exposure (community-acquired, community-onset 19.6%; healthcare-associated, community-onset 30.1%; hospital-onset 70.4%, p<0.01).

Although the overall proportion of aminoglycoside-nonsusceptible isolates was 37.4%, the proportion considered nonsusceptible was higher as healthcare exposure increased (community-acquired, community-onset 9.6%; healthcare-associated, community-onset 19.9%; and hospital-onset 60.0%, p<0.01) The overall trend was toward decreasing rates of nonsusceptibility (45.7% in 2003–2007 and 29.9% in 2008–2013, p<0.01 by test for trend). The decrease was significant only for patients with healthcare exposure (community-acquired, community-onset, p = 0.08; healthcare-associated, community-onset, p = 0.04; and hospital-onset, p<0.01).

The overall proportion of isolates that were nonsusceptible to fluoroquinolones was 47.2%. Patients with healthcare exposure were more likely to be infected with nonsusceptible strains (community-acquired, community-onset 14.2%; healthcare-associated, community-onset 19.6%; hospital-onset 71.9%, p<0.01) There were significant decreases in nonsusceptibility to fluoroquinolones (54.3% in 2003–2007 and 41.0% in 2008–2013, p<0.01 by test for trend), which was observed for hospital-onset isolates only (community-acquired, community-onset, p = 0.07; healthcare-associated, community-onset HCA-CO, p = 0.73; hospital-onset, p< 0.01).

Discussion

We analyzed 47,746 cases of gram-negative bacteremia in the VHA system over an 11-year period and report 3 major findings. First, for E. coli, rates of nonsusceptibility to aminoglycosides, fluoroquinolones, and extended-spectrum cephalosporins increased across all care settings. Second, for Klebsiella spp., rates of carbapenem nonsusceptibility increased across all care settings, and nonsusceptibility to other antimicrobial classes increased for community-onset isolates and was stable or decreased for isolates from patients with healthcare exposure. Third, for P. aeruginosa and Acinetobacter spp., rates of nonsusceptibility to aminoglycosides, fluoroquinolones, and extended-spectrum cephalosporins mostly decreased, but only for isolates from patients with healthcare exposure.

Overall incidence rates for gram-negative bacteremia were comparable with those from previous population-based studies from the United States and Europe (3,13,20–22,30). We recently reported major changes in hospital-onset bacteremia, which was possibly caused by expansion of horizontal infection control programs in the VHA system during this time (15). An additional finding in our more recent study was the decreased proportion of nonsusceptible bloodstream isolates across nearly all antimicrobial classes for Klebsiella spp., P. aeruginosa, and Acinetobacter spp. in patients with healthcare exposure. However, trends for community-onset bloodstream isolates were stable or showed increased nonsusceptibility.

Our findings suggest that efforts to improve infection control practices within the VHA might have had effects on antimicrobial susceptibilities for isolates from patients with healthcare exposure, although the extent of these effects needs to be determined. With increased nonsusceptibility rates among community-acquired, community-onset isolates, we generally expect upward trends of nonsusceptibility rates for healthcare-associated and hospital-onset isolates caused by increased colonization pressure (31,32). However, our results showed improvements in nonsusceptibility rates for isolates of Klebsiella spp., P. aeruginosa, and Acinetobacter spp. in hospital-onset and healthcare-associated, community-onset infections, which might suggest successful interruption of transmission in inpatient settings. Infection control programs within the VHA have been expanded over the past 10 years, especially since introduction of the Methicillin-Resistant Staphylococcus aureus Prevention Initiative in 2007 (33). Our recent study showed a substantial decrease in nosocomial, gram-negative bacteremia after implementation of this initiative, which suggests a collateral benefit beyond the originally intended scope of this initiative (15). In addition, the VHA released a mandatory policy for hand hygiene practices in 2011 (34).

Antimicrobial stewardship efforts within the VHA, which have been evolving over the past 10 years, might have contributed to increased antimicrobial susceptibilities. The National VA Antimicrobial Stewardship Task Force, established in 2011, has been leading systemwide educational efforts, and a mandate for inpatient stewardship was enacted in 2014. However, even before these broad interventions, facilities were actively performing stewardship. According to a survey of VHA facilities conducted by the VA Healthcare Analysis and Information Group, 86 (66.2%) of 130 VHA facilities had either a formal or informal antimicrobial stewardship policy in place in 2012 (35). At the time of the survey, 14 (16.3%) of these facilities had a stewardship policy in place for 2 years, 7 (8.1%) for 3 years, and 33 (38.4%) for >4 years.

We speculate that increased rates of antimicrobial susceptibility were not observed for E. coli healthcare-associated, community-onset and hospital-onset isolates because patients were probably colonized with E. coli before admission and these commensal strains might have developed or acquired resistance in the community setting. Antimicrobial drug resistance can develop in E. coli by its exposure to retail meat (36) and antimicrobial drug exposure outside VHA hospitals. Antimicrobial stewardship efforts within the VHA, like most healthcare systems, have typically not focused on outpatients. In addition, many non-VHA hospitals, which might have cared for patients in this cohort but were not captured by our analysis, did not have stewardship programs during this study (37,38).

A notable exception to these trends is increased rates of carbapenem nonsusceptibility for Klebsiella spp. in community and hospital settings. The increase in carbapenem-resistant Klebsiella spp. was also reported outside the VHA (39–41). This observation deserves attention because it might indicate a lapse of infection control efforts at the VHA. The VHA implemented internal guidelines for carbapenem-resistant Enterobacteriaceae to address this issue in 2015, and additional research is needed to determine whether this intervention has had any positive effect on this major threat (42).

The strength of our study was inclusion of all bacteremia episodes from the entire VHA system, which enabled us to perform population-based analysis, including diverse care settings, for wide geographic regions. Our study demonstrated the advantage of an integrated health informatics infrastructure with a clinical data warehouse within the VHA system. To accurately monitor the burden and trends of antimicrobial resistance, more investments in data integration informatics infrastructure need to be made.

This study had several limitations. First, most patients seen within the VHA system were male. Therefore, results might not be generalizable to the rest of the population. Second, because information was collected through patient medical records, detailed microbiological information, such as break points of antimicrobial susceptibility testing, molecular typing, or mechanisms of resistance, was often not available. Third, the Clinical and Laboratory Standards Institute (CLSI) revised its break point recommendations for extended-spectrum cephalosporins and carbapenems in 2010 (43), and antimicrobial susceptibility trends in the later part of the study might have been affected by this change. However, the FDA did not revise its recommendations to match those of the CLSI until 2013 (44). Because most microbiology laboratories in the VHA system use commercial systems that are regulated by the FDA for susceptibility testing, it is less likely that the change of CLSI break points substantially affected our observations. Fourth, this study focused on nationwide overall trends, and results might reflect local trends in each specific region. Previous studies showed geographic variabilities in incidence rates and antimicrobial susceptibilities for gram-negative bacteria (45–47). We also recently reported regional variations in fluoroquinolone nonsusceptibilities for E. coli isolates and plan to analyze geographic variabilities for other organisms and antimicrobial agents in future studies (48). Fifth, resistance can develop in gram-negative bacteria during patient therapy, and assessing susceptibilities for the primary isolate from each episode might underestimate the prevalence of nonsusceptibilities. Because there were diversities in reporting practices of susceptibilities for subsequent isolates across the system, it was not feasible to collect information for those isolates in a standardized manner.

In conclusion, we observed an increase in antimicrobial drug nonsusceptibility for E. coli in all healthcare exposure categories and stable or decreased rates of nonsusceptibility for Klebsiella spp., P. aeruginosa, and Acinetobacter spp. in patients with healthcare exposure. The extent to which these findings might reflect VHA infection control and antimicrobial stewardship activities remains to be determined. Despite encouraging decreases in nonsusceptibility for pathogenic gram-negative bacteria in acute-care hospital settings, increased attention to infection prevention and antimicrobial stewardship is needed for outpatient and nonacute inpatient settings.

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Acknowledgments

This study was supported by the Investigator Initiated Research program of Merck & Co, Inc., and the Center for the Comprehensive Access and Delivery Research and Evaluation of the Iowa City Veterans Affairs Health Care System. E.N.P. was supported by a grant from Merck & Co., Inc.

J.S.M. has received speaker honoraria from bioMérieux.

Dr. Goto is a network epidemiologist in the Veterans Administration Midwest Health Care Network (VISN 23) and clinical assistant professor of internal medicine at the University of Iowa Carver College of Medicine, Iowa City, IA. His research interests include epidemiology and prevention of multidrug-resistant pathogens and biosurveillance.

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References

  1. Moreno  R, Afonso  S, Fevereiro  T. Incidence of sepsis in hospitalized patients. Curr Infect Dis Rep. 2006;8:346–50. DOIPubMedGoogle Scholar
  2. Goto  M, Al-Hasan  MN. Overall burden of bloodstream infection and nosocomial bloodstream infection in North America and Europe. Clin Microbiol Infect. 2013;19:501–9. DOIPubMedGoogle Scholar
  3. Søgaard  M, Nørgaard  M, Dethlefsen  C, Schønheyder  HC. Temporal changes in the incidence and 30-day mortality associated with bacteremia in hospitalized patients from 1992 through 2006: a population-based cohort study. Clin Infect Dis. 2011;52:61–9. DOIPubMedGoogle Scholar
  4. Kang  CI, Kim  SH, Park  WB, Lee  KD, Kim  HB, Kim  EC, et al. Bloodstream infections caused by antibiotic-resistant gram-negative bacilli: risk factors for mortality and impact of inappropriate initial antimicrobial therapy on outcome. Antimicrob Agents Chemother. 2005;49:760–6. DOIPubMedGoogle Scholar
  5. Gikas  A, Samonis  G, Christidou  A, Papadakis  J, Kofteridis  D, Tselentis  Y, et al. Gram-negative bacteremia in non-neutropenic patients: a 3-year review. Infection. 1998;26:155–9. DOIPubMedGoogle Scholar
  6. Albrecht  SJ, Fishman  NO, Kitchen  J, Nachamkin  I, Bilker  WB, Hoegg  C, et al. Reemergence of gram-negative health care-associated bloodstream infections. Arch Intern Med. 2006;166:1289–94. DOIPubMedGoogle Scholar
  7. Luzzaro  F, Ortisi  G, Larosa  M, Drago  M, Brigante  G, Gesu  G. Prevalence and epidemiology of microbial pathogens causing bloodstream infections: results of the OASIS multicenter study. Diagn Microbiol Infect Dis. 2011;69:363–9. DOIPubMedGoogle Scholar
  8. Prowle  JR, Echeverri  JE, Ligabo  EV, Sherry  N, Taori  GC, Crozier  TM, et al. Acquired bloodstream infection in the intensive care unit: incidence and attributable mortality. Crit Care. 2011;15:R100. DOIPubMedGoogle Scholar
  9. Biedenbach  DJ, Moet  GJ, Jones  RN. Occurrence and antimicrobial resistance pattern comparisons among bloodstream infection isolates from the SENTRY Antimicrobial Surveillance Program (1997-2002). Diagn Microbiol Infect Dis. 2004;50:59–69. DOIPubMedGoogle Scholar
  10. Cordero  L, Rau  R, Taylor  D, Ayers  LW. Enteric gram-negative bacilli bloodstream infections: 17 years’ experience in a neonatal intensive care unit. Am J Infect Control. 2004;32:189–95. DOIPubMedGoogle Scholar
  11. Laupland  KB. Defining the epidemiology of bloodstream infections: the ‘gold standard’ of population-based assessment. Epidemiol Infect. 2013;141:2149–57. DOIPubMedGoogle Scholar
  12. Søgaard  M, Lyytikäinen  O, Laupland  KB, Schønheyder  HC. Monitoring the epidemiology of bloodstream infections: aims, methods and importance. Expert Rev Anti Infect Ther. 2013;11:1281–90. DOIPubMedGoogle Scholar
  13. Laupland  KB. Incidence of bloodstream infection: a review of population-based studies. Clin Microbiol Infect. 2013;19:492–500. DOIPubMedGoogle Scholar
  14. Veterans Health Administration. About VHA, July 5, 2016 [cited 2017 Aug 29]. http://www.va.gov/health/aboutVHA.asp
  15. Goto  M, O’Shea  AMJ, Livorsi  DJ, McDanel  JS, Jones  MM, Richardson  KK, et al. The effect of a nationwide infection control program expansion on hospital-onset gram-negative rod bacteremia in 130 Veterans Health Administration Medical Centers: an interrupted time-series analysis. Clin Infect Dis. 2016;63:642–50. DOIPubMedGoogle Scholar
  16. Shorr  AF, Tabak  YP, Killian  AD, Gupta  V, Liu  LZ, Kollef  MH. Healthcare-associated bloodstream infection: A distinct entity? Insights from a large U.S. database. Crit Care Med. 2006;34:2588–95. DOIPubMedGoogle Scholar
  17. Sligl  W, Taylor  G, Brindley  PG. Five years of nosocomial Gram-negative bacteremia in a general intensive care unit: epidemiology, antimicrobial susceptibility patterns, and outcomes. Int J Infect Dis. 2006;10:320–5. DOIPubMedGoogle Scholar
  18. Luzzaro  F, Viganò  EF, Fossati  D, Grossi  A, Sala  A, Sturla  C, et al.; AMCLI Lombardia Hospital Infectious Study Group. Prevalence and drug susceptibility of pathogens causing bloodstream infections in northern Italy: a two-year study in 16 hospitals. Eur J Clin Microbiol Infect Dis. 2002;21:849–55.PubMedGoogle Scholar
  19. Friedman  ND, Kaye  KS, Stout  JE, McGarry  SA, Trivette  SL, Briggs  JP, et al. Health care—associated bloodstream infections in adults: a reason to change the accepted definition of community-acquired infections. Ann Intern Med. 2002;137:791–7. DOIPubMedGoogle Scholar
  20. Al-Hasan  MN, Eckel-Passow  JE, Baddour  LM. Impact of healthcare-associated acquisition on community-onset Gram-negative bloodstream infection: a population-based study: healthcare-associated Gram-negative BSI. Eur J Clin Microbiol Infect Dis. 2012;31:1163–71. DOIPubMedGoogle Scholar
  21. Uslan  DZ, Crane  SJ, Steckelberg  JM, Cockerill  FR III, St Sauver  JL, Wilson  WR, et al. Age- and sex-associated trends in bloodstream infection: a population-based study in Olmsted County, Minnesota. Arch Intern Med. 2007;167:834–9. DOIPubMedGoogle Scholar
  22. Rodríguez-Créixems  M, Alcalá  L, Muñoz  P, Cercenado  E, Vicente  T, Bouza  E. Bloodstream infections: evolution and trends in the microbiology workload, incidence, and etiology, 1985-2006. Medicine (Baltimore). 2008;87:234–49. DOIPubMedGoogle Scholar
  23. US Census Bureau. Our nation’s veterans. Distribution of civilian veterans, 18 years and over in the United States and Puerto Rico, July 29, 2017 [cited 2017 Aug 29]. https://www.census.gov/library/visualizations/2015/comm/our-nation-s-veterans.html
  24. VHA. VHA Office of Rural Health, July 5, 2016 [cited 2017 Aug 29]. http://www.ruralhealth.va.gov/about/rural-veterans.asp
  25. VHA. Facts about VA health care capabilities, July 5, 2016 [cited 2017 Aug 29]. http://www.publichealth.va.gov/docs/flu/pandemic/AppxA3_HealthCare.pdf
  26. Horan  TC, Andrus  M, Dudeck  MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36:309–32. DOIPubMedGoogle Scholar
  27. Magiorakos  AP, Srinivasan  A, Carey  RB, Carmeli  Y, Falagas  ME, Giske  CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions for acquired resistance. Clin Microbiol Infect. 2012;18:268–81. DOIPubMedGoogle Scholar
  28. Centers for Disease Control and Prevention. Age standardization and population estimates, July 27, 2017 [cited 2017 Aug 29]. https://www.cdc.gov/nchs/tutorials/NHANES/NHANESAnalyses/agestandardization/age_standardization_intro.htm
  29. Clopper  CJ, Pearson  ES. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika. 1934;26:404–13. DOIGoogle Scholar
  30. Skogberg  K, Lyytikäinen  O, Ollgren  J, Nuorti  JP, Ruutu  P. Population-based burden of bloodstream infections in Finland. Clin Microbiol Infect. 2012;18:E170–6. DOIPubMedGoogle Scholar
  31. Bonten  MJ, Slaughter  S, Ambergen  AW, Hayden  MK, van Voorhis  J, Nathan  C, et al. The role of “colonization pressure” in the spread of vancomycin-resistant enterococci: an important infection control variable. Arch Intern Med. 1998;158:1127–32. DOIPubMedGoogle Scholar
  32. Bonten  MJ, Gaillard  CA, Johanson  WG Jr, van Tiel  FH, Smeets  HG, van der Geest  S, et al. Colonization in patients receiving and not receiving topical antimicrobial prophylaxis. Am J Respir Crit Care Med. 1994;150:1332–40. DOIPubMedGoogle Scholar
  33. Jain  R, Kralovic  SM, Evans  ME, Ambrose  M, Simbartl  LA, Obrosky  DS, et al. Veterans Affairs initiative to prevent methicillin-resistant Staphylococcus aureus infections. N Engl J Med. 2011;364:1419–30. DOIPubMedGoogle Scholar
  34. VHA. VHA directive 2011–007. Required hand hygiene practices, July 5, 2016 [cited 2017 Aug 29]. http://www1.va.gov/vhapublications/ViewPublication.asp?pub_ID=2367
  35. Chou  AF, Graber  CJ, Jones  M, Zhang  Y, Goetz  MB, Madaras-Kelly  K, et al. Characteristics of antimicrobial stewardship programs at Veterans Affairs hospitals: results of a nationwide survey. Infect Control Hosp Epidemiol. 2016;37:647–54. DOIPubMedGoogle Scholar
  36. Overdevest  I, Willemsen  I, Rijnsburger  M, Eustace  A, Xu  L, Hawkey  P, et al. Extended-spectrum β-lactamase genes of Escherichia coli in chicken meat and humans, The Netherlands. Emerg Infect Dis. 2011;17:1216–22. DOIPubMedGoogle Scholar
  37. Pogorzelska-Maziarz  M, Herzig  CT, Larson  EL, Furuya  EY, Perencevich  EN, Stone  PW. Implementation of antimicrobial stewardship policies in U.S. hospitals: findings from a national survey. Infect Control Hosp Epidemiol. 2015;36:261–4. DOIPubMedGoogle Scholar
  38. Centers for Disease Control and Prevention. Percent of hospitals with antibiotic stewardship programs by state, 2014. July 5, 2016 [cited 2017 Aug 29]. http://www.cdc.gov/getsmart/community/pdfs/stewardship_11_13.pdf
  39. Sievert  DM, Ricks  P, Edwards  JR, Schneider  A, Patel  J, Srinivasan  A, et al.; National Healthcare Safety Network (NHSN) Team and Participating NHSN Facilities. 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. Infect Control Hosp Epidemiol. 2013;34:1–14. DOIPubMedGoogle Scholar
  40. Centers for Disease Control and Prevention. Tracking CRE, July 5, 2016 [cited 2017 Aug 29]. http://www.cdc.gov/hai/organisms/cre/TrackingCRE.html
  41. Thaden  JT, Lewis  SS, Hazen  KC, Huslage  K, Fowler  VG Jr, Moehring  RW, et al. Rising rates of carbapenem-resistant enterobacteriaceae in community hospitals: a mixed-methods review of epidemiology and microbiology practices in a network of community hospitals in the southeastern United States. Infect Control Hosp Epidemiol. 2014;35:978–83. DOIPubMedGoogle Scholar
  42. Veterans Health Administration. VHA guideline for control of carbapenemase-producing carbapenem-resistant Enterobacteriaceae (CP-CRE). Washington (DC): MDRO Prevention Office, National Infectious Diseases Service, The Administration; 2015.
  43. Clinical Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing; 21st informational supplement. Document M100–S21. Wayne (PA). The Institute; 2010.
  44. Food and Drug Administration. Antibacterial and antifungal product labeling: microbiology susceptibility interpretive criteria (breakpoints) and quality control parameter updates, July 5, 2016 [cited 2017 Aug 29]. http://www.fda.gov/AboutFDA/CentersOffices/OfficeofMedicalProductsandTobacco/CDER/ucm275763.htm
  45. Fisman  D, Patrozou  E, Carmeli  Y, Perencevich  E, Tuite  AR, Mermel  LA; Geographical Variability of Bacteremia Study Group. Geographical variability in the likelihood of bloodstream infections due to gram-negative bacteria: correlation with proximity to the equator and health care expenditure. PLoS One. 2014;9:e114548. DOIPubMedGoogle Scholar
  46. Hawkey  PM, Jones  AM. The changing epidemiology of resistance. J Antimicrob Chemother. 2009;64(Suppl 1):i3–10. DOIPubMedGoogle Scholar
  47. Wilson  BM, El Chakhtoura  NG, Patel  S, Saade  E, Donskey  CJ, Bonomo  RA, et al. Carbapenem-Resistant Enterobacter cloacae in Patients from the US Veterans Health Administration, 2006-2015. Emerg Infect Dis. 2017;23:878–80. DOIPubMedGoogle Scholar
  48. Livorsi  DJ, Goto  M, Carrel  M, Jones  MM, McDanel  J, Nair  R, et al. Regional variations in fluoroquinolone non-susceptibility among Escherichia coli bloodstream infections within the Veterans Healthcare Administration. Antimicrob Resist Infect Control. 2016;5:38. DOIPubMedGoogle Scholar

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DOI: 10.3201/eid2311.161214

1Preliminary results from this study were presented at the 25th European Congress of Clinical Microbiology and Infectious Diseases, April 25–28, 2015, Copenhagen, Denmark; and at the Society for Healthcare Epidemiology of America Spring Meeting, May 14–17, 2015, Orlando, Florida, USA.

Table of Contents – Volume 23, Number 11—November 2017

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Michihiko Goto, Iowa City Veterans Affairs Health Care System, University of Iowa Carver College of Medicine, 601 Hwy 6 W, Iowa City, IA 52246, USA

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Page created: October 16, 2017
Page updated: October 16, 2017
Page reviewed: October 16, 2017
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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