Risk Factors for Trimethoprim and Sulfamethoxazole-Resistant Escherichia Coli in ED Patients with Urinary Tract Infections
Abstract
BACKGROUND: While trimethoprim-sulfamethoxazole (TMP-SMX) is recommended as one of the first-line empiric therapies for treatment of acute uncomplicated cystitis, institutions that observe resistance rates exceeding 20% for Escherichia coli (E. coli) should utilize alternative empiric antibiotic therapy per the Infectious Diseases Society of America (IDSA). Identifying risk factors associated with TMP-SMX resistance in E. coli may help guide empiric antibiotic prescribing for urinary tract infections (UTIs).
METHODS: This multicenter, retrospective study included adult patients who were discharged from 12 emergency departments (EDs) with a urine culture positive for E. coli between January 1, 2019 and December 31, 2019. Logistic regression was used to assess the relationship between potential risk factors and TMP-SMX resistance. The overall institutional antimicrobial resistance rates for E. coli were compared to the rates seen in the study population of ED urinary isolates.
RESULTS: Among 427 patients included from a randomized sample of 500 with a urine culture positive for E. coli, 107 (25.1%) were resistant to TMP-SMX. Three predictors of TMP-SMX resistance were identified: recurrent UTI (OR 2.27 [95% CI 1.27-3.99]), genitourinary abnormalities (OR 2.31 [95% CI 1.17-4.49]), and TMP-SMX use within 90 days (OR 8.77 [95% CI 3.19-28.12]). When the antibiotic susceptibilities for this ED cohort were compared to the institutional antibiogram, the TMP-SMX resistance rate was…
How strong is the evidence?
Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 427 participants or records.
Read the paper
Related studies
- The Matrisome: In Silico Definition and In Vivo Characterization by Proteomics of Normal and Tumor Extracellular Matrices
- The Escherichia coli MG1655 in silico metabolic genotype: Its definition, characteristics, and capabilities
- In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling
- In silico prediction of splice-altering single nucleotide variants in the human genome
- In silico clinical trials: how computer simulation will transform the biomedical industry
- In silico optimization of a guava antimicrobial peptide enables combinatorial exploration for peptide design
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.