Abstract
Introduction
Urinary tract infections (UTIs) caused by antimicrobial-resistant Enterobacterales are a global health threat. There are limited surveillance data available to characterize the prevalence of antimicrobial resistance among outpatients in the United States (US).
Methods
This retrospective cohort (database) study investigated co-resistance among Escherichia coli and Klebsiella pneumoniae urinary isolates from US female outpatients aged ≥ 12 years with presumed uncomplicated UTI (uUTI), ≥ 3 months of data (2011–2019), and antimicrobial susceptibility testing results. Eligible isolates were the first urinary E. coli or K. pneumoniae isolate per patient collected within 30 days; classified as not susceptible (NS) if antimicrobial susceptibility testing results were intermediate or resistant to each antibiotic tested. Four resistance phenotypes were identified: NS to fluoroquinolones (FQ), trimethoprim/sulfamethoxazole (SXT), nitrofurantoin (NTF), and extended-spectrum β-lactamase+/third-generation cephalosporin (ESBL+/3GC NS). Co-resistance phenotypes included all possible combinations of resistance to ≥ 2 drug classes.
Results
Of 1,513,882 E. coli isolates and 250,719 K. pneumoniae isolates, 856,918 and 187,459 isolates with ≥ 1 resistance phenotype were included in the analysis, respectively. The most common resistance phenotypes were SXT NS for the E. coli isolates (44.8%) and NTF NS for the K. pneumoniae isolates (75.5%), while ESBL+/3GC NS comprised 11.2 and 5.9%, respectively. Among ESBL+/3GC NS E. coli isolates, 72.4, 56.7, and 46.6% were co-resistant to FQ, SXT, and FQ + SXT, respectively. For ESBL+/3GC NS K. pneumoniae isolates, 65.7 and 45.7% were co-resistant to SXT and FQ + SXT.
Conclusion
Both species exhibited high rates of co-resistance, emphasizing the need to raise awareness of co-resistance and of the unmet need for effective treatment options for uUTI.
Avoid common mistakes on your manuscript.
Why carry out this study |
The prevalence of antimicrobial resistance among outpatients with uncomplicated urinary tract infection (uUTI) in the United States (US) is poorly characterized. |
Co-resistance rates among E. coli and K. pneumoniae urinary isolates from US female outpatients were investigated in this study. |
What was learned from this study |
We found high rates of co-resistance among E. coli and K. pneumoniae urinary isolates to antimicrobial agents widely used to treat outpatients with uUTIs. |
Our results highlight that there are limited effective oral treatment options for resistant E. coli and K. pneumoniae urine isolates. |
Characterizing patterns of co-resistance among uropathogens causing community-acquired UTIs is critical for understanding the unmet need for effective empiric treatment options for outpatient urinary tract infections (UTIs). |
Introduction
Uncomplicated urinary tract infections (uUTIs) occur in women with no anatomical or functional urinary tract abnormalities, or complicating comorbidities [1]. Most urinary tract infections (UTIs) are uncomplicated, and affect 10–12% of female patients in the United States (US) annually [2]. uUTIs caused by antimicrobial-resistant Enterobacterales, including extended-spectrum β-lactamase-producing (ESBL+)/third-generation cephalosporin (3GC) Escherichia coli (E. coli) and Klebsiella pneumoniae (K. pneumoniae), are a serious global health threat [3,4,5].
E. coli is the causative uropathogen in 80–90% of uUTIs in female patients [6], but other Enterobacterales [7,8,9] and Gram-positive isolates like Staphylococcus saprophyticus and Enterococcus spp. can also cause uUTIs. While the clinical epidemiology of uUTIs has remained relatively stable over the past decade, ESBL+/3GC and multidrug resistance (MDR) phenotypes among female outpatient urine isolates have increased [7,8,9].
Urine cultures are generally not ordered for community-acquired uUTIs, and recommended treatment is mostly empiric. Therefore, assessing the current prevalence of antimicrobial resistance (AMR) from urine culture is challenging, and limited surveillance data characterize AMR prevalence among outpatient urinary isolates in the US. As increasing AMR will likely reduce treatment effectiveness [10], it is important to raise awareness among treating physicians.
Kaye et al. evaluated the prevalence and geographic distribution of AMR in the US using the largest urine E. coli isolate database to date (N = 1,513,882) [11]. The AMR prevalence was high and varied significantly between US regions; ESBL + and MDR phenotypes also increased during the study period (2011–2019). Building on this work regarding MDR in E. coli, we assessed the prevalence of co-resistance to ≥ 1 drug class, and characterized all resistance combinations observed, among urinary E. coli and K. pneumoniae isolates from US female outpatients to further understand treatment options for patients with MDR uropathogens [11].
Methods
Study Design and Patients
This was a retrospective cohort study of female outpatients aged ≥ 12 years with ≥ 1 positive urine culture containing 30-day non-duplicate E. coli or K. pneumoniae urine isolates (i.e., presumed uUTI). The minimal amount of data per eligible patient was ≥ 3 months (between 2011 and 2019) with antimicrobial susceptibility testing (AST) results recorded at one of the 304 US facilities included in the BD Insights Research Database (Becton, Dickinson and Company, Franklin Lakes, NJ, USA) [11]. Eligible non-duplicate isolates were the first urine E. coli or K. pneumoniae isolate per patient collected within 30 days and were classified as not susceptible (NS) if AST results were intermediate or resistant to each antibiotic tested [12].
Isolates were classified into four resistance phenotypes: NS to fluoroquinolones (FQ NS), NS to trimethoprim/sulfamethoxazole (SXT NS), NS to nitrofurantoin (NTF NS), and ESBL+/3GC NS (ESBL production determined via commercial panel and/or NS to ceftriaxone, cefotaxime, ceftazidime, or cefepime). Co-resistance phenotypes were characterized as all possible combinations of the four pre-defined resistance phenotypes described above, and therefore included co-resistance to two, three, or four of the individual drug classes.
Statistical Analysis
Descriptive statistics were used to calculate the number and percentage of isolates and co-resistance phenotype combinations observed.
Compliance with Ethics Guidelines
The study was performed using a de-identified limited retrospective dataset that was deemed exempt from patient informed consent by the New England Institutional Review Board/Human Subjects Research Committee (Wellesley, MA, USA). The study was conducted in compliance with Health Insurance Portability and Accountability Act requirements.
Results
Escherichia coli
Across 1,513,882 non-duplicate (30-day) E. coli urine culture isolates, 856,918 isolates with ≥ 1 resistance phenotype were analyzed (of which 44.8, 37.3, 11.2, and 6.6% were SXT NS, FQ NS, ESBL+/3GC NS, and NTF NS, respectively; Fig. 1).
The following co-resistance phenotype combinations were observed among E. coli isolates (Fig. 2a): of 96,306 ESBL+/3GC NS isolates, 72.4% were co-resistant to FQs, 56.7% to SXT, and 11.9% to NTF; 46.6% of ESBL+/3GC NS isolates were co-resistant to FQ + SXT, 9.4% to FQ + NTF, and 8.0% to SXT + NTF, while 6.8% had all four resistance phenotypes. Of 319,354 FQ NS isolates, 21.8% were also ESBL+/3GC NS, 51.6% were co-resistant to SXT, and 8.0% to NTF; 4.9% of FQ NS isolates were co-resistant to SXT + NTF, and 2.0% had all four resistance phenotypes. Of 384,304 SXT NS isolates, 14.2% were also ESBL+/3GC NS, 42.9% were co-resistant to FQs, and 6.8% to NTF; 4.1% of SXT NS isolates were co-resistant to FQ + NTF and 1.7% had all four resistance phenotypes. Of NTF NS isolates (n = 56,954), 20.1% were also ESBL+/3GC NS, 44.7% were co-resistant to FQs, and 46.0% to SXT; 27.4% of NTF NS isolates were co-resistant to FQ + SXT, and 11.5% had all four resistance phenotypes.
Klebsiella pneumoniae
Across 250,719 non-duplicate (30-day) K. pneumoniae urine culture isolates, 187,459 isolates with ≥ 1 resistance phenotype were analyzed (of which 12.7, 5.8, 5.9, and 75.5% were SXT NS, FQ NS, ESBL+/3GC NS, and NTF NS, respectively; Fig. 1).
The following co-resistance phenotype combinations were observed among K. pneumoniae isolates (Fig. 2b): of 11,065 ESBL+/3GC NS isolates, 54.9% were co-resistant to FQs, 65.7% to SXT, and 75.5% to NTF; 45.7% of ESBL+/3GC NS isolates were co-resistant to FQ + SXT, 45.1% to FQ + NTF, 52.2% to SXT + NTF, and 38.2% had all four resistance phenotypes. Of 10,962 FQ NS isolates, 55.4% were ESBL+/3GC NS, 65.7% were co-resistant to SXT, and 79.6% to NTF; 54.0% of FQ NS isolates were co-resistant to SXT + NTF and 38.6% had all four resistance phenotypes. Of 23,887 SXT NS isolates, 30.4% were ESBL+/3GC NS, 30.1% were co-resistant to FQs, and 69.7% to NTF; 24.8% of SXT NS isolates were co-resistant to FQ + NTF and 17.7% had all four resistance phenotypes. Of 141,545 NTF NS isolates, 5.9% were ESBL+/3GC NS, 6.2% were co-resistant to FQs, and 11.8% to SXT; 4.2% of NTF NS isolates were co-resistant to FQ + SXT and 3.0% had all four resistance phenotypes.
Discussion
This study describes high rates of co-resistance among E. coli and K. pneumoniae urinary isolates to antimicrobial agents widely used to treat outpatient uUTIs. Among isolates with ≥ 1 resistance phenotype (E. coli: n = 856,918; K. pneumoniae: n = 187,459), individual resistance to SXT or FQs among E. coli isolates was 44.8 and 37.3%, respectively, while individual resistance among K. pneumoniae isolates was 12.7 and 5.8%, respectively. The ESBL+/3GC NS phenotype was observed in 11.2% of E. coli isolates and 5.9% of K. pneumoniae isolates. Among ESBL+/3GC NS E. coli isolates, 72.4, 56.7, and 46.6% were co-resistant to FQs, SXT, and FQ + SXT, respectively. Among K. pneumoniae isolates with ≥ 1 resistance phenotype, 69–80% were co-resistant to NTF. Additionally, 65.7% of ESBL+/3GC NS K. pneumoniae isolates were co-resistant to SXT, 54.0% of FQ NS isolates were co-resistant to SXT + NTF, and 45.7% of ESBL+/3GC NS isolates were co-resistant to FQ + SXT. Our findings regarding co-resistance phenotypes containing ESBL+/3GC NS indicate that effective oral treatment options are limited for resistant E. coli strains and more limited for resistant K. pneumoniae strains. NTF resistance among K. pneumoniae is problematic given that NTF is one of the most prescribed empiric therapies for outpatient UTI. Future guidelines should consider evaluation of co-resistance and related thresholds to guide clinician prescribing of effective antimicrobial therapy that addresses unmet need in uUTI.
This study adds to our previous findings regarding AMR prevalence among E. coli and Klebsiella species (Klebsiella spp.) isolates in the US [11, 13]. The current study also provides much-needed multicenter AMR surveillance data and highlights the importance of assessing patterns of co-resistance among uropathogens causing community-acquired UTIs. Indeed, we previously reported that 14.4 and 3.8% of E. coli isolates have ≥ 2 and ≥ 3 drug resistance phenotypes, respectively [11], while more than 10% of Klebsiella spp. and K. pneumoniae isolates have ≥ 2 drug resistance phenotypes [13], but these new analyses of co-resistance among resistant isolates highlight the limitations of the currently available uUTI antibiotics. Raising awareness of antimicrobial co-resistance phenotypes should help inform empiric treatment decisions. Periodic reviews of uropathogen susceptibility patterns can also highlight the need for prescribing behavior changes and facilitate guideline updates to improve appropriate antimicrobial use, though incentives may also be needed [14].
A recent study across nine US centers from 2015–2019 highlighted a 19.4% NS rate to initial antimicrobial treatment among 2366 uUTI episodes with higher 28-day antibiotic dispensing rates [15], but few studies inform on co-resistance among urine isolates from patients with community-acquired uUTI. Critchley et al. [16] also assessed co-resistance among 1831 E. coli UTI isolates (nosocomial and community-acquired) from 30 participating US centers during 2017 and found similar patterns of co-resistance to FQs and SXT. In that study, among FQ (levofloxacin)-resistant E. coli, 56% of isolates were co-resistant to SXT. Similarly, 43% of SXT-resistant E. coli isolates were co-resistant to FQs. High rates of resistance to SXT (56%) were also reported among 287 ESBL + E. coli isolates, consistent with the 57% observed in our study.
Our study has limitations. AST and results were based on local laboratory practice, and microbiology laboratory data could not definitively be linked to a uUTI due to lack of symptom data, International Classification of Diseases diagnostic codes, and pharmacy claims. More than one isolate from the same patient could have been included if collected > 30 days after the previous isolate; the study population could therefore include patients with recurrent UTIs, which may result in overestimating the prevalence of AMR.
Given the empiric nature of current uUTI prescribing, urine culture ordering practices likely vary with disease severity; therefore, AMR results could be biased towards higher resistance since not all uUTI patients have a culture. The prevalence of AMR to fosfomycin was not assessed due to its limited use and methodological challenges in testing.
Conclusions
In summary, we found high rates of co-resistance in E. coli and K. pneumoniae outpatient urine isolates, emphasizing the importance of surveillance studies to inform appropriate antibiotic prescribing practices and updates to treatment guidelines, in order to optimize outpatient UTI treatment. The high frequency of co-resistance phenotype combinations highlights the need for novel diagnostics and oral antibiotics for treatment of outpatient UTI.
References
European Association of Urology (EAU). EAU guidelines on urological infections. 2022. https://uroweb.org/guidelines/urological-infections. Accessed Aug 2023.
Foxman B. Urinary tract infection syndromes: occurrence, recurrence, bacteriology, risk factors, and disease burden. Infect Dis Clin North Am. 2014;28(1):1–13.
Centers for Disease Control and Prevention (CDC). Antibiotic resistance threats in the United States. 2019. https://www.cdc.gov/drugresistance/pdf/threats-report/2019-ar-threats-report-508.pdf. Accessed Aug 2023.
Yang X, Chen H, Zheng Y, Qu S, Wang H, Yi F. Disease burden and long-term trends of urinary tract infections: a worldwide report. Front Public Health. 2022;10: 888205.
Zeng Z, Zhan J, Zhang K, Chen H, Cheng S. Global, regional, and national burden of urinary tract infections from 1990 to 2019: an analysis of the global burden of disease study 2019. World J Urol. 2022;40(3):755–63.
Walker E, Lyman A, Gupta K, Mahoney MV, Snyder GM, Hirsch EB. Clinical management of an increasing threat: outpatient urinary tract infections due to multidrug-resistant uropathogens. Clin Infect Dis. 2016;63(7):960–5.
Chen H-E, Tain Y-L, Kuo H-C, Hsu C-N. Trends in antimicrobial susceptibility of Escherichia coli isolates in a Taiwanese child cohort with urinary tract infections between 2004 and 2018. Antibiotics (Basel). 2020;9(8):501.
Frazee BW, Trivedi T, Montgomery M, Petrovic DF, Yamaji R, Riley L. Emergency department urinary tract infections caused by extended-spectrum β-lactamase-producing Enterobacteriaceae: many patients have no identifiable risk factor and discordant empiric therapy is common. Ann Emerg Med. 2018;72(4):449–56.
Lob SH, Nicolle LE, Hoban DJ, Kazmierczak KM, Badal RE, Sahm DF. Susceptibility patterns and ESBL rates of Escherichia coli from urinary tract infections in Canada and the United States, SMART 2010–2014. Diagn Microbiol Infect Dis. 2016;85(4):459–65.
Dadgostar P. Antimicrobial resistance: implications and costs. Infect Drug Resist. 2019;12:3903–10.
Kaye KS, Gupta V, Mulgirigama A, Joshi AV, Scangarella-Oman NE, Yu K, et al. Antimicrobial resistance trends in urine Escherichia coli isolates from adult and adolescent females in the United States from 2011 to 2019: rising ESBL strains and impact on patient management. Clin Infect Dis. 2021;73(11):1992–9.
Clinical and Laboratory Standards Institute. M100 performance standards for antimicrobial susceptibility testing. 29th edition 2019. https://clsi.org/media/2663/m100ed29_sample.pdf. Accessed Aug 2023.
Kaye KS, Gupta V, Mulgirigama A, Joshi AV, Ye G, Scangarella-Oman NE, et al. Prevalence, regional distribution, and trends of antimicrobial resistance among female outpatients with urine Klebsiella spp. isolates: a multicenter evaluation in the United States between 2011 and 2019. Antimicrob Resist Infect Control. 2024;14(1):21.
Zetts RM, Garcia AM, Doctor JN, Gerber JS, Linder JA, Hyun DY. Primary care physicians’ attitudes and perceptions towards antibiotic resistance and antibiotic stewardship: a national survey. Open Forum Infect Dis. 2020;7(7):ofaa244.
Trautner BW, Kaye KS, Gupta V, Mulgirigama A, Mitrani-Gold FS, Scangarella-Oman NE, et al. Risk factors associated with antimicrobial resistance and adverse short-term health outcomes among adult and adolescent female outpatients with uncomplicated urinary tract infection. Open Forum Infect Dis. 2022;9(12):ofac623.
Critchley IA, Cotroneo N, Pucci MJ, Mendes R. The burden of antimicrobial resistance among urinary tract isolates of Escherichia coli in the United States in 2017. PLoS ONE. 2019;14(12):e0220265.
Acknowledgements
Medical Writing, Editorial, and Other Assistance
Medical writing support, under the guidance of the authors, was provided by Fiona Scott, PhD, of Ashfield MedComms, an Inizio company (Glasgow, UK), and was funded by GSK.
Author Contributions
Keith S. Kaye, Vikas Gupta, Aruni Mulgirigama, Ashish V. Joshi, Nicole E. Scangarella-Oman, Kalvin Yu, Janet Watts, and Fanny S. Mitrani-Gold all had access to the study data, take responsibility for the accuracy of the analysis, contributed to data interpretation, reviewed and contributed to the content of the manuscript, and had authority in the decision to submit the manuscript.
Funding
This work was supported by GSK, Collegeville, PA 19426, USA, including study design, data collection, analysis, interpretation, medical writing, and submission support for the manuscript, including the journal’s Rapid Service Fee (study 212502).
Data Availability
All data generated or analyzed during this study are included in this published article/as supplementary information files.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
Keith S. Kaye declares symposia honoraria from GSK. Kalvin Yu is an employee of, and shareholder in, Becton, Dickinson and Company, and the company received funding from GSK to conduct this study. Aruni Mulgirigama, Ashish V. Joshi, Nicole E. Scangarella-Oman, and Fanny S. Mitrani-Gold are employees of, and shareholders in, GSK. Vikas Gupta and Janet Watts were employees of and Vikas Gupta was a shareholder in Becton, Dickinson and Company at the time of the study, and the company received funding from GSK to conduct this study. Vikas Gupta is an employee of Blue Health Intelligence (BHI), Chicago, IL. Janet Watts is an employee of Westat, Rockville, MD.
Ethical Approval
The study was performed using a de-identified limited retrospective dataset that was deemed exempt from patient informed consent by the New England Institutional Review Board/Human Subjects Research Committee (Wellesley, MA, USA). The study was conducted in compliance with Health Insurance Portability and Accountability Act requirements.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Prior Presentation: Some of the material discussed in this manuscript was previously presented at Infectious Diseases Week (IDWeek) 2022 and the corresponding abstracts were published in Open Forum Infect Dis [16, 17]: Kaye et al., “Analysis of Co-Resistance Among Klebsiella pneumoniae Urine Isolates From Female Outpatients in the United States”, presentation 2225, IDWeek 2022, October 19–23, 2022, Washington DC, USA; and Kaye et al., “Analysis of Co-Resistance Among Escherichia coli Urine Isolates From Female Outpatients in the United States”, presentation 2226, IDWeek 2022, October 19–23, 2022, Washington DC, USA.
Vikas Gupta, Janet Watts: At time of study.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-Non Commercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
About this article
Cite this article
Kaye, K.S., Gupta, V., Mulgirigama, A. et al. Co-resistance Among Escherichia coli and Klebsiella pneumoniae Urine Isolates from Female Outpatients with Presumed UTI: A Retrospective US Cohort Study. Infect Dis Ther 13, 1715–1722 (2024). https://doi.org/10.1007/s40121-024-00995-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40121-024-00995-2