Evidence map›Paper›PMID 34143881›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

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.

Keith S Kaye, Vikas Gupta, Aruni Mulgirigama, Ashish V Joshi, Nicole E Scangarella-Oman, Kalvin Yu, Gang Ye, Fanny S Mitrani-Gold

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

86 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Efficacy andAntimicrobial agents and chemotherapy · 2025
    Trial
  4. Trial
  5. Sulopenem or Ciprofloxacin for the Treatment of Uncomplicated Urinary Tract Infections in Women: A Phase 3, Randomized Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Trial
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Uncomplicated Urinary Tract Infections: From an Invisible Impact to a Visible Change in Complex Care.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Bladder p75Life (Basel, Switzerland) · 2025
    Article
  19. Antimicrobial agents and chemotherapy · 2025
    Article
  20. Article

26 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Keith S KayeUniversity of Michigan, Ann Arbor, Michigan, USA.
Vikas GuptaBecton, Dickinson and Company (BD), Franklin Lakes, New Jersey, USA.
Aruni MulgirigamaGlaxoSmithKline plc., London, United Kingdom.
Ashish V JoshiGlaxoSmithKline plc., Collegeville, Pennsylvania, USA.
Nicole E Scangarella-OmanGlaxoSmithKline plc., Collegeville, Pennsylvania, USA.
Kalvin YuBecton, Dickinson and Company (BD), Franklin Lakes, New Jersey, USA.
Gang YeBecton, Dickinson and Company (BD), Franklin Lakes, New Jersey, USA.
Fanny S Mitrani-GoldGlaxoSmithKline plc., Collegeville, Pennsylvania, USA.

Funding

Fraser Shearer, Ashfield MedComms, an Ashfield HealthGlaxoSmithKline plc
6 · The paper itself

Abstract

backgroundUncomplicated urinary tract infection (uUTI) is predominantly caused by Escherichia coli, which has increasing antimicrobial resistance (AMR) at the United States (US)-community level. As uUTI is often treated empirically, assessing AMR is challenging, and there are limited contemporary data characterizing period prevalence in the US.

methodsThis was a retrospective study of AMR using Becton, Dickinson and Company Insights Research Database (Franklin Lakes, New Jersey, US) data collected 2011-2019. Thirty-day, nonduplicate Escherichia coli urine isolates from US female outpatients (aged ≥12 years) were included. Isolates were evaluated for nonsusceptibility (intermediate/resistant) to trimethoprim-sulfamethoxazole, fluoroquinolones, or nitrofurantoin, and assessed for extended-spectrum β-lactamase production (ESBL+) and for ≥2 or ≥3 drug-resistance phenotypes. Generalized estimating equations were used to model AMR trends over time and by US census region.

resultsAmong 1 513 882 E. coli isolates, the overall prevalence of isolates nonsusceptible to trimethoprim-sulfamethoxazole, fluoroquinolones, and nitrofurantoin was 25.4%, 21.1%, and 3.8%, respectively. Among the isolates, 6.4% were ESBL+, 14.4% had ≥2 drug-resistance phenotypes, and 3.8% had ≥3. Modeling demonstrated a relative average yearly increase of 7.7% (95% confidence interval [CI], 7.2-8.2%) for ESBL+ isolates and 2.7% (95% CI, 2.2-3.2%) for ≥3 drug-phenotypes (both P < .0001). Modeling also demonstrated significant variation in AMR prevalence between US census regions (P < .001).

conclusionsPeriod prevalence of AMR among US outpatient urine-isolated E. coli was high, and for multidrug-resistance phenotypes increased during the study period with significant variation between census regions. Knowledge of regional AMR rates helps inform empiric treatment of community-onset uUTI and highlights the AMR burden to physicians.

Indexed as

Drug Resistance, BacterialEscherichia coli InfectionsUrinary Tract InfectionsAdolescentAdultAnti-Bacterial Agentsbeta-LactamasesEscherichia coliFemaleHumansMicrobial Sensitivity TestsModels, TheoreticalRetrospective StudiesUnited StatesAnti-Bacterial Agentsbeta-Lactamasesantimicrobial resistanceantimicrobial stewardshipEscherichia coliuncomplicated urinary tract infection

Identifiers

PMID34143881
PMCPMC8664433

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.