Open Access

Regional variations in fluoroquinolone non-susceptibility among Escherichia coli bloodstream infections within the Veterans Healthcare Administration

  • Daniel J. Livorsi1, 2Email author,
  • Michihiko Goto1, 2,
  • Margaret Carrel3,
  • Makoto M. Jones4, 5,
  • Jennifer McDanel1, 6,
  • Rajeshwari Nair1, 7,
  • Bruce Alexander1,
  • Brice Beck1,
  • Kelly K. Richardson1 and
  • Eli N. Perencevich1, 7
Antimicrobial Resistance & Infection Control20165:38

DOI: 10.1186/s13756-016-0135-2

Received: 19 July 2016

Accepted: 27 September 2016

Published: 19 October 2016

Abstract

Objectives

We sought to define regional variations in fluoroquinolone non-susceptibility (FQ-NS) among bloodstream isolates of Escherichia coli across the Veterans Health Administration (VHA) in the United States.

Methods

We analyzed a retrospective cohort of patients managed at 136 VHA hospitals who had a blood culture positive for E.coli between 2003 and 2013. Hospitals were classified based on US Census Divisions, and regional variations in FQ-NS were analyzed.

Results

Twenty-four thousand five hundred twenty-three unique E.coli bloodstream infections (BSIs) were identified between 2003 and 2013. 53.9 % of these were community-acquired, 30.7 % were healthcare-associated, and 15.4 % were hospital-onset BSIs. The proportion of E.coli BSIs with FQ-NS significantly varied across US Census Divisions (p < 0.001). During 2003–2013, the proportion of E.coli BSIs with FQ-NS was highest in the West South-Central Division (32.7 %) and lowest in the Mountain Division (20.0 %). Multivariable analysis showed that there were universal secular trends towards higher FQ-NS rates (p < 0.001) with significant variability of slopes across US Census Divisions (p < 0.001).

Conclusion

There has been a universal increase in FQ-NS among E.coli BSIs within VHA, but the rate of increase has significantly varied across Census Divisions. The reasons for this variability are unclear. These findings reinforce the importance of using local data to develop and update local antibiograms and antibiotic-prescribing guidelines.

Keywords

Fluoroquinolones Antimicrobial resistance Epidemiology Escherichia coli

Introduction

Fluoroquinolones are a synthetic class of antibiotics that have been used in clinical medicine since the 1970s. Fluoroquinolones have excellent oral bioavailability, provide a broad-spectrum of antibacterial activity, and are highly efficacious in the treatment of a variety of infections. However, the overuse of these agents has led to rising rates of FQ non-susceptibility (FQ-NS) [13].

Historically, fluoroquinolones have been reliably active against Escherichia coli, a common cause of urinary tract infections, bloodstream infections, and intra-abdominal infections. National antibiotic-prescribing guidelines still recommend the empiric use of fluoroquinolones for infections that commonly involve E.coli [4, 5], but given the rising prevalence of FQ-NS, the empiric use of fluoroquinolones may no longer be appropriate in some geographic regions [13].

In this study, we sought to define regional variations in FQ-NS among bloodstream isolates of E.coli in the Veterans Health Administration (VHA) over an 11-year period. Identifying temporal and regional differences in resistance patterns may inform development of national versus regional or local treatment guidelines.

Methods

We constructed a retrospective cohort of all patients within the VHA who had a blood culture positive for E.coli between January 1, 2003 and December 31, 2013. Data from 136 acute care hospitals in 48 US states contributed to the cohort. FQ-NS was defined as a non-susceptible result to at least one FQ: ciprofloxacin, levofloxacin, and/or moxifloxacin. In line with guidelines from the Clinical and Laboratory Standards Institute, only the first isolate was included when the patient had more than one blood culture positive for E. coli in the same calendar year [6].

Bloodstream infections (BSIs) were defined as hospital-onset, healthcare-associated, or community-acquired. Hospital-onset BSIs were defined as an E.coli-positive blood culture that was obtained after the patient had been hospitalized for ≥48 h. Healthcare-associated BSIs were defined as an E.coli-positive blood culture obtained at the time of admission or <48 h of admission if the patient met established criteria for healthcare exposure [7]. Community-acquired BSIs were defined as E.coli-positive blood cultures obtained at the time of admission or <48 h of admission in patients who did not meet criteria for healthcare-associated infections.

Hospitals were regionalized based on US Census Divisions (https://www.census.gov/geo/reference/gtc/gtc_census_divreg.html), and annual averages of FQ-NS were mapped. Monthly and annual counts of isolates with and without FQ-NS were measured as outcomes.

Poisson regression models were used to predict the number of isolates with FQ-NS while incorporating total number of isolates as an offset variable. The generalized estimating equations (GEE) method was used to account for grouping effect within Census Divisions. Residual plots were inspected to ensure the appropriateness of all models. An interaction term between time and region was included in the model, and region-specific incidence rate ratios (IRRs) by month and year were estimated to assess variability of slopes across divisions.

Results

Twenty-four thousand five hundred twenty-three unique E.coli (BSIs) were identified between 2003 and 2013 across 136 hospitals and 9 Census Divisions (Table 1). A majority of these BSIs were classified as community-acquired (53.9 %); 30.7 % were healthcare-associated and 15.4 % were hospital-onset BSIs.
Table 1

Number of VHA hospitals and E.coli bloodstream isolates (BSIs) from each census region, 2003–2013

Census region

Number of hospitals

Number of included E. coli BSIs (%)

East North Central

18

2799 (11.4 %)

East South Central

11

2146 (8.8 %)

Middle Atlantic

18

2544 (10.4 %)

Mountain

13

2010 (8.2 %)

New England

7

783 (3.2 %)

Pacific Central

13

3253 (13.3 %)

South Atlantic

26

5358 (21.8 %)

West North Central

16

1896 (7.7 %)

West South Central

14

3734 (15.2 %)

The prevalence of FQ-NS increased with healthcare exposure. The frequency of FQ-NS was 20.2 % for community-acquired E.coli-BSIs, 37.0 % for healthcare-associated E.coli-BSIs, and 37.7 % for hospital-onset E.coli-BSIs.

Throughout the VHA, the percentage of E.coli-BSIs with FQ-NS increased from 13.9 % in 2003 to 31.3 % in 2008 and 32.6 % in 2013. Among E.coli strains demonstrating FQ-NS, the frequency of non-susceptibility to other antibiotic classes was as follows: 16.6 % extended-spectrum cephalosporins, 34.4 % aminoglycosides, and 0.3 % carbapenems.

The proportion of E.coli-BSIs with FQ-NS significantly varied across Census Divisions (range: 20.0–32.7 %; p < 0.001). During 2003–2013, the proportion of E.coli BSIs with FQ-NS was highest in the West South Central Division (32.7 %) and lowest in the Mountain Division (20.0 %, Fig. 1). In 2013 alone, the highest frequency of FQ-NS among E.coli-BSIs was seen in the East South Central Division (39.6 %) and the lowest frequency of FQ-NS was seen in the Pacific Central Division (25.4 %).
Fig. 1

Region-specific changes in FQ-NS among E.coli BSIs in the Veterans Health Administration, 2003–2013

Regression analysis showed that there were universal temporal trends towards higher FQ-NS rates (p < 0.001) with significant variability of slopes across Census Divisions (p < 0.001, Fig. 2). The annual mean rate of increase in FQ-NS was as follows: East North Central 0.41 % /month; Mountain 0.86 % /month; South Atlantic 0.54 % /month; East South Central 0.51 % /month; New England 0.44 % /month; West North Central 0.89 % /month; Middle Atlantic 0.45 % /month; Pacific Central 0.19 % /month; West South Central 0.40 % /month.
Fig. 2

Secular trends in FQ-NS among E.coli BSIs within 9 Census Divisions of VHA, 2003–2013

Discussion

Our study has demonstrated a sustained increase in the frequency of FQ-NS among E.coli BSIs across VHA during 2003–2013. The rate of change has significantly varied across Census Divisions. The high prevalence of FQ-NS in some divisions could influence the empiric use of fluoroquinolones for infections thought to involve E.coli and suggests that regional or even local guidelines might be preferred over national guidelines.

The clonal expansion of sequence type (ST) 131 E.coli is likely a major driver of this rising prevalence of fluoroquinolone resistance [811]. ST131 represents one of more than 1000 STs of E.coli defined by multilocus sequence typing (MLST). The clonal expansion of ST131 has been a global phenomenon that has not spared the VHA. In a 2011 analysis of E.coli clinical isolates from 24 VHA medical centers, ST131 accounted for 78 % of fluoroquinolone-resistant isolates and 28 % of all isolates [12]. The aminoglycoside and carbapenem susceptibility profiles of ST131 strains described in this 2011 study are similar to that of FQ-NS strains in our report. Studies outside of VHA have also found that ST131 accounts for 70–80 % of fluoroquinolone-resistant E.coli infections [1214]. A specific subclone, which represents the vast majority of fluoroquinolone-resistant ST131 isolates, first emerged around 2000 and has since expanded rapidly around the world [15].

The global dissemination of ST131 and its subclones is not well understood. Possible microbiologic contributors include the clone’s enhanced transmissibility, its increased virulence, its resistance to multiple antibiotics, and its success at colonizing the human body [8].

In certain healthcare settings, there is a high colonization pressure with ST131, and this likely facilitates patient-to-patient transmission. Long-term care facilities may serve as reservoirs of this clone [16, 17]. At 2 long-term care facilities in Minnesota, 24 % of residents were colonized with ST131, and molecular analysis demonstrated evidence of intra-facility and inter-facility transmission [17]. Single-center studies at different acute care hospitals found that 50 % of inpatients are carriers [18] and that 13 % of stool samples sent to the microbiology laboratory grew E.coli ST131 [19].

Antibiotic-prescribing practices are probably also contributing to the spread of ST131. In a population-based cohort study, multivariable analysis showed that ST131 carriage was predicted by older age, healthcare exposure, and prior antibiotic use [13]. Specifically, prior use of fluoroquinolones, macrolides or extended-spectrum cephalosporins was predictive [13]. Other studies have found that prior fluoroquinolone-exposure is a risk factor for fluoroquinolone-resistant E.coli, but these studies did not describe the sequence type of the infecting strains of E.coli [2, 20, 21].

It’s unclear why the frequency of FQ-NS significantly varied across Census Divisions within the VHA over time. These differences may reflect broad ecological trends beyond the VHA patient cohort. Alternately, specific infection control and antibiotic-prescribing practices within VHA may be influencing the spread of these strains of E.coli. Future research could examine whether use of specific antibiotic agents varies across regions and, if so, whether the variations in antibiotic usage help explain the variability in FQ-NS.

There are several clinical implications to these changing resistance patterns among E.coli. Patients undergoing transrectal prostate biopsy typically receive fluoroquionolone prophylaxis. In one study, colonization with fluoroquinolone-resistant E.coli was the most important host characteristic associated with infection after transrectal prostate biopsy. Nearly two-thirds of these resistant strains were ST 131 [22]. A survey of Infectious Disease physicians found that there is a perceived increase in the incidence of infections after transrectal prostate biopsies [23]. Furthermore, rising rates of fluoroquinolone-resistant E.coli limit options for empiric antibiotic therapy. Among patients with E.coli bacteremia, inappropriate empiric antibiotic therapy was associated with worse outcomes in some [24, 25] but not all [26, 27] studies.

Our study has some limitations. First, the cohort included older patients who were predominantly male. As a result, the trends we observed may not be generalizable to other populations. Second, we have argued that ST131 is contributing to the changing epidemiology of E.coli, but we did not perform any microbiologic typing. A prior study, however, has demonstrated that ST 131 is prevalent within VHA [12].

Conclusion

In conclusion, there has been a universal increase in FQ-NS among E.coli BSIs within VHA, and the rate of increase has varied across Census Divisions. These findings reinforce the importance of using local data to develop and update local antibiograms and antibiotic-prescribing guidelines.

Abbreviations

BSI: 

Bloodstream infection

E.coli

Escherichia coli

FQ-NS: 

Fluoroquinolone non-susceptibility

GEE: 

Generalized estimating equations

VHA: 

Veterans Health Administration

Declarations

Acknowledgements

Not applicable.

Funding

Not applicable.

Availability of data and material

The data that support the findings of this study are available from the VA Informatics and Computing Infrastructure (VINCI) but restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are however available from the authors upon reasonable request and with permission of VINCI.

Authors’ contributions

Study design: DL. Data collection and analysis: MG, MJ, JM, RN, BA, BB, KR. Study supervision: EP. Manuscript writing: DL. Manuscript review: All authors. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval

The protocol was approved by the University of Iowa Institutional Review Board and the local VHA Research and Development Committee.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Iowa City VA Health Care System
(2)
Division of Infectious Diseases, Department of Internal Medicine, University of Iowa Carver College of Medicine
(3)
Department of Geographical and Sustainability Sciences, College of Liberal Arts and Sciences, University of Iowa
(4)
Salt Lake City VA Health Care System
(5)
University of Utah School of Medicine
(6)
Department of Epidemiology, College of Public Health, University of Iowa
(7)
Division of General Internal Medicine, Department of Internal Medicine, University of Iowa Carver College of Medicine

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Copyright

© The Author(s). 2016

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