Escherichia coli: placing resistance to third-generation cephalosporins and fluoroquinolones in Australia and New Zealand into perspective
Rhys T WhiteSchool of Chemistry and Molecular Biosciences and Australian Infectious Disease Research Centre, The University of Queensland, Brisbane, Qld 4072, Australia; and Australian Centre for Ecogenomics, The University of Queensland, Brisbane, Qld 4072, Australia. Tel.: +61 7 3365 8549; Email: rhystwhite@gmail.com
Microbiology Australia 42(3) 104-110 https://doi.org/10.1071/MA21031
Submitted: 25 March 2021 Accepted: 21 July 2021 Published: 8 September 2021
Journal Compilation © The Authors 2021 Open Access CC BY-NC-ND, published (by CSIRO Publishing) on behalf of the ASM
Abstract
At least 300 million urinary tract infections (UTIs) occur annually worldwide. Uropathogenic Escherichia coli (UPEC) are the leading cause of UTIs. The discovery of antibiotics has revolutionised modern medicine. Yet, overusing antibiotics has accelerated the emergence of antimicrobial resistance (AMR), with UPEC driving the dissemination of AMR globally. Resistance to broad-spectrum antibiotics like third-generation cephalosporins (3GCs) and fluoroquinolones threatens public health. Extended-spectrum β-lactamase (ESBL)-producing E. coli precipitate resistance, particularly when these antibiotics are used as empirical therapies against UPEC. In response, the Centers for Disease Control and Prevention in the United States have listed ESBL-producing Enterobacterales, such as E. coli as a severe threat. Additionally, the World Health Organization have classified 3GCs and fluoroquinolones as the highest priority (critically important antimicrobials), where these therapies are only recommended following susceptibility testing. The present report demonstrates the distributions of E. coli cases with resistance to 3GC and fluoroquinolones in Australia and New Zealand and contextualises trends with European reports. This investigation emphasises the value of epidemiology and the justification of evidence-based interventions using data as an essential resource for reducing resistance to our ‘first-line’ antibiotics.
The burden of antimicrobial resistance
Antimicrobial resistance (AMR) is a well established global priority due to the increasing impacts on public health. Across the United States (US), at least 2.8 million antimicrobial-resistant infections occur each year1. Globally, antimicrobial-resistant infections cause more than 700 000 deaths annually, with 10 million deaths expected by 20502. The increasing incidence and global dissemination of AMR are: (1) limiting treatment options; (2) resulting in prolonged illnesses; (3) increasing morbidity and mortality; and (4) increasing healthcare-related costs on a global scale3,4. In Australia, an estimated 200 000 healthcare-associated infections occur annually, including multidrug-resistant infections5. The same healthcare-associated infections are estimated to generate healthcare costs between A$2–3 billion (US$1 = A$1.116) and contribute to 7000 deaths annually5.
Increasing AMR rates affect current antimicrobial therapeutic guidelines, particularly as third-generation cephalosporins (3GCs) are recommended as ‘first-line’ treatments to avoid prescribing ‘last-line’ antibiotics such as carbapenems and colistin. In response, the World Health Organization has devised a list of highest priority, critically important antibiotics, which includes 3GCs and fluoroquinolones7. Extended spectrum β-lactamase (ESBL)-producing organisms inactivate broad spectrum 3GC antibiotics. Additionally, the US Centers for Disease Control and Prevention (CDC) listed ESBL-producing Enterobacterales (ESBL-E) as a serious threat. In 2017, the CDC predicted that ESBL-E accounted for the deaths of 9100 individuals in the US, with 197 400 confirmed cases, and an attributable healthcare cost of US$1.2 billion1 (US$1 = A$1.316). In New Zealand, ESBL-producing Escherichia coli incidence rates increased from 3.7 per 100 000 in the early to mid-2000s8,9 to 113.8 per 100 000 in the early to mid-2010s10. Furthermore, the Australian Commission on Safety and Quality in Health Care (ACSQHC) have reported a 55.5% increase in fluoroquinolone-resistant E. coli between 2015 (n = 11 094/149 916, 7.4%) and 2018 (n = 17 253/169 145, 10.2%)11. These data from the US, New Zealand, and Australia represents a serious concern, as resistance to fluoroquinolones may indicate resistance to one of the last available oral treatment options. This is particularly concerning for low socio-economic, disadvantaged, and under-resourced communities across regional, rural, and remote regions who rely on these antimicrobials. These communities are at a higher risk of infections for which quinolones are indicated. For example, non-ototoxic ciprofloxacin ear drops are the mainstays of treatment for chronic suppurative otitis media, which affects 9 in 10 Aboriginal and Torres Strait Islander peoples younger than 3 years of age in remote Northern Territory (Australia) communities12.
Antimicrobial therapy and incidence epidemiology of urinary tract infections
With increasing AMR rates impacting public health, common infections are becoming more persistent and harder to treat. These include urinary tract infections (UTIs), which are typically self-limiting and are one of the most frequently occurring bacterial infections. The Institute for Health Metrics and Evaluation estimates 391.3 million UTIs occurred worldwide in 2017, mostly reported among females (Figure 1a)13. UTI-associated healthcare costs are at least GB£4 billion14 (US$1 = GB£0.656) annually. If undiagnosed or untreated, UTIs can progress to systemic bacteraemia infections, which can trigger sepsis and septic shock. Gram-negative bacteria are a common cause of UTIs15. In 2018 for example, E. coli was the predominant (n = 2948/8797, 33.5%) cause of UTIs and bacteraemia across Australia15. Most of these E. coli cases were defined as community-onset (n = 2425/2948, 82.3%; culture collected ≤48 h after admission) rather than hospital-onset (n = 523/2948, 17.7%; >48 h after admission)15. Acute UTIs are treated empirically within the first 48 h of symptoms using a 3–14-day course of oral antibiotics (i.e. trimethoprim/sulfamethoxazole, cephalexin, nitrofurantoin, ciprofloxacin, or amoxicillin with clavulanate)16. Hospitalisation for UTI can often result in the inappropriate use of broad-spectrum antimicrobials17. The increasing empiric use of broad-spectrum antibiotics may drive multidrug-resistant infections, particularly in recurrent cases of UTIs18.
While changes among the annualised global age-standardised incidence rate over the past 27 years are negligible13, increases have been observed in countries where mechanisms are in place for reporting UTIs, such as the United Kingdom, Australia, and New Zealand (Figure 1b). In 2017, the annualised incidence was substantially higher in New Zealand (8290 per 100 000) when compared with Australia (4759 per 100 000) and the average from 36 Organisation for Economic Co-operation and Development (OECD) member countries (3928 per 100 000). Meanwhile, incidence across all OECD member countries has remained stable, with approximately 1 case per 25 persons. Notably, the epidemiology of UTIs has changed, with increases in incidence in persons aged 50+ years (Figure 1c), raising concerns as the proportion of persons aged 65+ years across Australia and New Zealand has increased over the past two decades. While older persons are at higher risk of UTIs, over-diagnosis has been reported in these age groups19. Historical statistics in New Zealand show that one in every nine persons were aged 65+ years in 1996 compared with one in seven persons in 201720. Similarly, in Australia, one in every eight persons were aged 65+ years in 1997 compared with one in six persons in 201721. These groups are more susceptible to age-related decline in immune system function and other age-related health co-morbidities. This susceptibility leads to greater morbidity and poorer, undesirable health outcomes such as urosepsis and mortality in as little as 12 h from the onset of illness.
Coordinating national data on antimicrobial resistance across Australia and New Zealand
In 2014, the ACSQHC established the Antimicrobial Use and Resistance in Australia (AURA) Surveillance System to coordinate local and national data collection and analyses on AMR across Australia. AURA encompasses a national collaboration of clinicians and microbiologists known as the Australian Group on Antimicrobial Resistance (AGAR) (www.agargroup.org). AGAR is historically responsible for using standardised methodologies to undertake ongoing targeted surveillance of AMR within clinically relevant pathogens. Recently, AGAR has focused on the Gram-negative Sepsis Outcome Program, which involves collections of AMR and demographic data on isolates cultivated from patient episodes of bacteraemia. Similarly, in New Zealand, the Institute of Environmental Science and Research Ltd (ESR), contributes to the national public health surveillance of AMR among human pathogens (https://surv.esr.cri.nz/index.php). The ESR are responsible for the antimicrobial susceptibility testing and epidemiological typing of clinically relevant pathogens, including ESBL-E. The national public health surveillance into ESBL-E across New Zealand is monitored through an established network of hospitals and pathology laboratories, which conduct periodic point-prevalence surveys of isolates from throughout the country which commenced in 1996. Both the AURA and ESBL-E schemes across Australia and New Zealand, respectively, review resistance in pathogens found in blood cultures. This allows for a direct comparison with European countries that regularly release comparable data from the European Antimicrobial Resistance Surveillance Network (EARSNet) scheme22.
Resistance to 3GC and fluoroquinolones in E. coli is lower in Australia and New Zealand compared with European countries
A standardised definition to measure antimicrobial usage (AU) across jurisdictions is called the Defined Daily Dose (DDD). This is essentially the total units of antibiotics that have been used, divided by a DDD correction factor that is reviewed by the World Health Organization every 3 years (https://www.whocc.no/atc_ddd_index/). With the DDD definition, comparisons between AU in Australia and Europe can be made from data collected from AURA and EARSNet. Although Australia has an overall downward trend in AU since 2016, Australia remains in the top seven countries for AU when compared with Europe11. For example, at least two in five hospital patients across Australia received antibiotic treatment on any given day in 2014; where 24.3% of prescriptions were noncompliant with guidelines and 23.0% were inappropriate23. These undesirable prescribing habits may have arisen because of the lack of timely susceptibility testing, which has been described as ‘too slow to guide logical choice of antibiotic therapy in critically ill patients’5. While some bacterial infections are still susceptible to various antibiotics (or combinations of antibiotics), this extensive use has to some degree contributed to the acquisition of AMR in most bacterial pathogens, whether multidrug-resistant or not24,25. Most European countries observed an increase in the rates of resistance to fluoroquinolones and 3GC in E. coli between 2016 and 2018. In comparison, the rates across Australia and New Zealand remain relatively low (Figure 2). The prevalence of fluoroquinolone resistance in E. coli across Australia increased between the start of 2016 (14.0%) and end of 2017 (14.4%). In contrast, resistance to 3GCs across Australia decreased between the same period of 2016 (11.8%) and 2017 (11.5%). Conversely, fluoroquinolone-resistant E. coli across New Zealand increased 6-fold over the same period (2.0% in 2016 compared with 12.0% in 2017). Additionally, in New Zealand there was a 4-fold increase in the incidence of 3GCs resistant infections (2.0% in 2016 compared with 8.0% in 2017). Nevertheless, the prevalence of resistance to fluoroquinolones and 3GCs across both Australia and New Zealand remained below the population-weighted averages (25.7% and 14.9%, respectively) of the European Union and European Economic Area countries’ (Figure 2).
Comparisons of AMR in E. coli across Australia and New Zealand
ACSQHC uses reports like the AURA 2019 to survey the volume of AU within hospitals, the community, and aged care homes11. Notably, the total AU rate has increased from 22 DDDs per 1000 population in 2000 to 24 in 200926. However, generally AU rates in Australia have been on a downward trend since 201011. While AU is overall declining, E. coli with resistance to critical antibiotics like ciprofloxacin (an oral fluoroquinolone) and ceftriaxone (an injectable 3GC) are increasing (Figure 3). In contrast, metrics collected between 2016 and 2018 demonstrate a decline in the number of community dispensing rates under the government-subsidised medications Pharmaceutical Benefits Scheme. While 41.5% (n = 10 215 109) of the Australian population received at least one prescription for antimicrobials in 2017, the age-standardised rates of antimicrobial prescriptions dispensed per 1000 inhabitants decreased by 4.7% from 1120 in 2016 to 1067 in 201711. Similarly, there was a decline in the number of residents in Australian aged care homes who were prescribed at least one antimicrobial between 2016 and 2018. While 8.8% (n = 1087/12 307) of residents in aged care homes received at least one prescription for antimicrobials in 2017, the rates of antimicrobial prescriptions dispensed per 1000 aged care home residents decreased from 98.6 in 2016 to 88.3 in 201711.
In New Zealand, surveillance conducted by the ESR reveals that the total-hospital AU rate has increased from 17 in DDDs per 1000 population per day in 2006 to 26 in 2012, before stabilising between 2012 and 201527. This is also reflected by the longitudinal trend of increasing ESBL-producing clinical E. coli between 2006 (n = 56/87, 64.4%)28 and 2016 (n = 386/521, 74.0%)29. The annualised rate of ESBL-producing E. coli circulating New Zealand is has also increased nation-wide, particularly between 2008 and 2013 (Figure 4). However, the data show reductions in major metropolitan areas in contrast to the increase observed in rural regions.
Conclusion
Since the discovery of penicillin, antibiotic treatments have revolutionised modern medicine and will forever impact global public health. Today, antimicrobials are extensively used against bacterial infections worldwide. The rapid emergence of resistance to ‘first-line’ and readily accessible antimicrobials like fluoroquinolones and third-generation cephalosporins requires urgent action. It is essential to place the prevalence of antimicrobial resistance into perspective and identify key indicators of their burden. From a clinical perspective, the appropriateness of antimicrobial use must be improved by supporting ‘antibiotic stewardship’ through initiatives at the local, national, and international level. This will reduce undesirable prescribing habits. While resistance to fluoroquinolones and third-generation cephalosporins is lower in Australia and New Zealand compared with European countries, E. coli with resistance ciprofloxacin (an oral fluoroquinolone) and ceftriaxone (an injectable third-generation cephalosporin) are increasing. It is important to maintain the decline in antimicrobial usage rates across hospitals, the community, and aged care homes as reported in Australia. Here, I have emphasised current trends in antimicrobial resistance and shown that work is still required to reduce the incidence of resistance to fluoroquinolones and third-generation cephalosporins.
Conflicts of interest
The author declares no conflicts of interest.
Declaration of funding
This research did not receive any specific funding.
Acknowledgements
The author thanks Scott Beatson (The University of Queensland) and Melinda Ashcroft (The Peter Doherty Institute for Infection and Immunity at The University of Melbourne) for constructive criticism of the manuscript. The author acknowledges Kristin Dyet (Communicable Disease Group at the Institute of Environmental Science and Research Ltd) for providing additional metadata for these analyses.
References
[1] Centers for Disease Control and Prevention (2019) Antibiotic resistance threats in the United States, 2019. US Department of Health and Human Services, Centres for Disease Control and Prevention: Atlanta, GA, USA. https://www.cdc.gov/drugresistance/biggest-threats.html (accessed 9 July 2021).[2] O’Neill J. (2014) Review on antimicrobial resistance. Antimicrobial resistance: tackling a crisis for the health and wealth of nations. Wellcome Trust & UK Government: London, UK. https://amr-review.org/Publications.html (accessed 9 July 2021).
[3] Holmberg, S.D. et al. (1987) Health and economic impacts of antimicrobial resistance. Rev. Infect. Dis. 9, 1065–1078.
| Health and economic impacts of antimicrobial resistance.Crossref | GoogleScholarGoogle Scholar | 3321356PubMed |
[4] Munoz-Price, L.S. et al. (2013) Clinical epidemiology of the global expansion of Klebsiella pneumoniae carbapenemases. Lancet Infect. Dis. 13, 785–796.
| Clinical epidemiology of the global expansion of Klebsiella pneumoniae carbapenemases.Crossref | GoogleScholarGoogle Scholar | 23969216PubMed |
[5] Gilbert, L. et al. (2014) Healthcare infection prevention and control really is everyone’s business. Microbiol. Aust. 35, 3–4.
| Healthcare infection prevention and control really is everyone’s business.Crossref | GoogleScholarGoogle Scholar |
[6] Organisation for Economic Co-operation and Development (2021) Exchange rates (indicator). Organisation for Economic Co-operation and Development: Paris, France. https://data.oecd.org/conversion/exchange-rates.htm (updated 6 July 2021; accessed 9 July 2021).
[7] World Health Organization & WHO Advisory Group on Integrated Surveillance of Antimicrobial Resistance (AGISAR) (2017) Critically important antimicrobials for human medicine: ranking of antimicrobial agents for risk management of antimicrobial resistance due to non-human use. 5th edn. World Health Organization: Geneva, Switzerland. https://apps.who.int/iris/handle/10665/255027 (accessed 9 July 2021).
[8] The Institute of Environmental Science and Research Ltd (2003) Extended-spectrum β-lactamases (ESBLs) in Enterobacteriaceae confirmed in 2002. Wellington, New Zealand: Institute of Environmental Science and Research Ltd. https://surv.esr.cri.nz/antimicrobial/esbl.php (accessed 9 July 2021).
[9] The Institute of Environmental Science and Research Ltd (2008) Annual survey of extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae, 2007. Wellington, New Zealand: Institute of Environmental Science and Research Ltd. https://surv.esr.cri.nz/antimicrobial/esbl.php (accessed 9 July 2021).
[10] Dyet, K. et al. (2015) Annual survey of extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae, 2014. Institute of Environmental Science and Research Ltd: Wellington, New Zealand. https://surv.esr.cri.nz/antimicrobial/esbl.php (accessed 9 July 2021).
[11] Australian Commission on Safety and Quality in Health Care (2019) AURA 2019: third Australian report on antimicrobial use and resistance in human health. Australian Commission on Safety and Quality in Health Care: Sydney, NSW, Australia. https://www.safetyandquality.gov.au/our-work/antimicrobial-resistance/antimicrobial-use-and-resistance-australia-surveillance-system/aura-2019 (accessed 9 July 2021).
[12] Leach, A.J. et al. (2021) Otitis media guidelines for Australian Aboriginal and Torres Strait Islander children: summary of recommendations. Med. J. Aust. 214, 228–233.
| Otitis media guidelines for Australian Aboriginal and Torres Strait Islander children: summary of recommendations.Crossref | GoogleScholarGoogle Scholar | 33641192PubMed |
[13] James, S.L. et al. (2018) Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1789–1858.
| Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017.Crossref | GoogleScholarGoogle Scholar |
[14] Harding, G.K.M. and Ronald, A.R. (1994) The management of urinary infections – what have we learned in the past decade. Int. J. Antimicrob. Agents 4, 83–88.
| The management of urinary infections – what have we learned in the past decade.Crossref | GoogleScholarGoogle Scholar |
[15] Australian Group on Antimicrobial Resistance (2019) Gram-negative Sepsis Outcome Program 2018 report. Australian Group on Antimicrobial Resistance: Sydney, NSW, Australia. https://www.safetyandquality.gov.au/publications-and-resources/resource-library/agar-sepsis-outcome-programs-2018-report (accessed 9 July 2021).
[16] Jarvis, T.R. et al. (2014) Assessment and management of lower urinary tract infection in adults. Aust. Prescr. 37, 7–9.
| Assessment and management of lower urinary tract infection in adults.Crossref | GoogleScholarGoogle Scholar |
[17] Wawrysiuk, S. et al. (2019) Prevention and treatment of uncomplicated lower urinary tract infections in the era of increasing antimicrobial resistance – non-antibiotic approaches: a systemic review. Arch. Gynecol. Obstet. 300, 821–828.
| Prevention and treatment of uncomplicated lower urinary tract infections in the era of increasing antimicrobial resistance – non-antibiotic approaches: a systemic review.Crossref | GoogleScholarGoogle Scholar | 31350663PubMed |
[18] Forde, B.M. et al. (2019) Population dynamics of an Escherichia coli ST131 lineage during recurrent urinary tract infection. Nat. Commun. 10, 3643.
| Population dynamics of an Escherichia coli ST131 lineage during recurrent urinary tract infection.Crossref | GoogleScholarGoogle Scholar | 31409795PubMed |
[19] Woodford, H.J. and George, J. (2009) Diagnosis and management of urinary tract infection in hospitalized older people. J. Am. Geriatr. Soc. 57, 107–114.
| Diagnosis and management of urinary tract infection in hospitalized older people.Crossref | GoogleScholarGoogle Scholar | 19054190PubMed |
[20] Statistics New Zealand (2019) Estimated total population by sex, year ended 31 December 1926–2018 and 30 June 1937–2018. Statistics New Zealand: Wellington, New Zealand. https://www.stats.govt.nz/topics/population (accessed 9 July 2021).
[21] Australian Bureau of Statistics (2019) ‘Table 59. Estimated resident population by single year of age, Australia’ [time series spreadsheet], Australian demographic statistics. Australian Bureau of Statistics: Canberra, ACT, Australia. https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3101.0Jun%202019 (updated 19 December 2019; accessed 9 July 2021).
[22] European Centre for Disease Prevention and Control (2017) Antimicrobial resistance surveillance in Europe 2016: annual report of the European Antimicrobial Resistance Surveillance Network (EARS-Net). European Centre for Disease Prevention and Control: Stockholm, Sweden. https://www.ecdc.europa.eu/en/publications-data/antimicrobial-resistance-surveillance-europe-2016 (accessed 9 July 2021).
[23] Australian Commission on Safety and Quality in Health Care (2016) Antimicrobial prescribing practice in Australian hospitals: results of the 2015 National Antimicrobial Prescribing Survey. Australian Commission on Safety and Quality in Health Care: Sydney, NSW, Australia. https://www.safetyandquality.gov.au/publications-and-resources/resource-library/antimicrobial-prescribing-practice-australian-hospitals-results-2015-hospital-national-antimicrobial-prescribing-survey (accessed 9 July 2021).
[24] Laxminarayan, R. and Heymann, D.L. (2012) Challenges of drug resistance in the developing world. BMJ 344, e1567.
| Challenges of drug resistance in the developing world.Crossref | GoogleScholarGoogle Scholar | 22491075PubMed |
[25] Laxminarayan, R. et al. (2013) Antibiotic resistance-the need for global solutions. Lancet Infect. Dis. 13, 1057–1098.
| Antibiotic resistance-the need for global solutions.Crossref | GoogleScholarGoogle Scholar | 24252483PubMed |
[26] Organisation for Economic Co-operation and Development (2011) Health at a Glance 2011: OECD Indicators. Organisation for Economic Co-operation and Development Publishing: Paris, France. https://www.oecd-ilibrary.org/social-issues-migration-health/health-at-a-glance-2011_health_glance-2011-en (accessed 9 July 2021).
[27] Williamson, D.A. et al. (2016) Antibiotic consumption in New Zealand, 2006–2014. The Institute of Environmental Science and Research Ltd: Porirua, New Zealand. https://surv.esr.cri.nz/surveillance/antibiotic_consumption.php?we_objectID=4331 (accessed 9 July 2021).
[28] Heffernan, H. et al. (2006) Prevalence of extended-spectrum β-lactamases among urinary Escherichia coli and Klebsiella in New Zealand in 2006. Institute of Environmental Science and Research Ltd: Porirua, New Zealand. https://surv.esr.cri.nz/antimicrobial/esbl.php (accessed 9 July 2021).
[29] Heffernan, H. et al. (2018) 2016 survey of extended-spectrum β-lactamase-producing Enterobacteriaceae. Antimicrobial Reference Laboratory and Health Group, Institute of Environmental Science and Research Ltd: Porirua, New Zealand. https://surv.esr.cri.nz/antimicrobial/esbl.php (accessed 9 July 2021).
Biography
Rhys White is working towards completing his PhD in Genomics and Bioinformatics at The University of Queensland, Australia. Rhys graduated with a BSc (Hons) from Cardiff University (United Kingdom) in 2016. Before commencing his PhD, Rhys started his career with Public Health Wales where he refined his analytical skills alongside clinicians. Rhys’ research interests are in microbial genomics where he uses comparative genomic approaches to better understand the evolution, emergence, and dissemination of global Enterobacterales.