Predicting Antibiotic Susceptibility Among Patients With Recurrent Urinary Tract Infection Using a Prior Culture
Abstract
Purpose:
Recurrent cystitis guidelines recommend relying on a local antibiogram or prior urine culture to guide empirical prescribing, yet little data exist to quantify the predictive value of a prior culture. We constructed a urinary antibiogram and evaluated test metrics (sensitivity, specificity, and Bayes’ positive and negative predictive values) of a prior gram-negative organism on predicting subsequent resistance or susceptibility among patients with uncomplicated, recurrent cystitis.
Materials and Methods:
We performed a retrospective database study of adults with recurrent, uncomplicated cystitis (cystitis occurring 2 times in 6 months or 3 times in 12 months) from urology or primary care clinics between November 1, 2016, and December 31, 2018. We excluded pregnant females, patients with complicated cystitis, or pyelonephritis. Test metrics were calculated between sequential, paired cultures using standard formulas.
Results:
We included 597 visits from 232 unique patients wherein 310 (51.2%) visits had a urine culture and 165 had gram-negative uropathogens isolated. Patients with gram-negative uropathogens were mostly females (97%), with a median age of 58.5 years. Our antibiogram found 38.0%, 27.9%, and 5.5% of Escherichia coli isolates had resistance to trimethoprim-sulfamethoxazole, ciprofloxacin, and nitrofurantoin, respectively. Prior cultures (within 2 years) had good predictive value for detecting future susceptibility to first-line agents nitrofurantoin (0.85) and trimethoprim-sulfamethoxazole (0.78) and excellent predictive values (≥0.90) for cefepime, ceftriaxone, cefuroxime, ciprofloxacin, levofloxacin, gentamicin, tobramycin, piperacillin-tazobactam, and imipenem.
Conclusions:
Considerable antibiotic resistance was detected among E coli isolates in patients with recurrent, uncomplicated cystitis. Using a prior culture as a guide can enhance the probability of selecting an effective empirical agent.
REFERENCES
- 1. Disease burden and long-term trends of urinary tract infections: a worldwide report. Front Public Health. 2022; 10:888205. Crossref, Medline, Google Scholar
- 2. . National Hospital Ambulatory Medical Care Survey: 2018 Emergency Department Summary Tables. US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics; 2018. Google Scholar
- 3. . National Ambulatory Medical Care Survey: 2018 National Summary Tables. US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics; 2018. Google Scholar
- 4. Prevalence of inappropriate antibiotic prescriptions among US ambulatory care visits, 2010-2011. JAMA. 2016; 315(17):1864-1873. Crossref, Medline, Google Scholar
- 5. . Ambulatory medical care utilization estimates for 2007. Vital Health Stat. 2011; 13(169):1-38. Google Scholar
- 6. . The epidemiology of urinary tract infection. Nat Rev Urol. 2010; 7(12):653-660. Crossref, Medline, Google Scholar
- 7. Urinary tract infection in male veterans: treatment patterns and outcomes. JAMA Intern Med. 2013; 173(1):62-68. Crossref, Medline, Google Scholar
- 8. Risk factors for second urinary tract infection among college women. Am J Epidemiol. 2000; 151(12):1194-1205. Crossref, Medline, Google Scholar
- 9. Recurrence of urinary tract infection in a primary care setting: analysis of a 1-year follow-up of 179 women. Clin Infect Dis. 1996; 22(1):91-99. Crossref, Medline, Google Scholar
- 10. Recurrent uncomplicated urinary tract infections in women: AUA/CUA/SUFU guideline. J Urol. 2019; 202(2):282-289. Link, Google Scholar
- 11. Premenopausal women with recurrent urinary tract infections have lower quality of life. Int J Urol. 2018; 25(7):684-689. Crossref, Medline, Google Scholar
- 12. Six out of ten women with recurrent urinary tract infections complain of distressful sexual dysfunction—a case-control study. Sci Rep. 2017; 7:44380. Crossref, Medline, Google Scholar
- 13. . How women manage recurrent urinary tract infections: an analysis of postings on a popular web forum. BMC Fam Pract. 2014; 15(1):162. Crossref, Medline, Google Scholar
- 14. Qualitative analysis of a Twitter-disseminated survey reveals new patient perspectives on the impact of urinary tract infection. Antibiotics. 2022; 11(12):1687. Crossref, Google Scholar
- 15. Lactobacilli vs antibiotics to prevent urinary tract infections: a randomized, double-blind, noninferiority trial in postmenopausal women. Clin Microbiol Infect. 2012; 18(4):E84-E90. Crossref, Medline, Google Scholar
- 16. The bacterial spectrum and antimicrobial susceptibility in female recurrent urinary tract infection: how different they are from sporadic single episodes?.Urology. 2015; 86(3):492-497. Crossref, Medline, Google Scholar
- 17. The ARESC study: an international survey on the antimicrobial resistance of pathogens involved in uncomplicated urinary tract infections. Int J Antimicrob Agents. 2009; 34(5):407-413. Crossref, Medline, Google Scholar
- 18. Predictive utility of prior positive urine cultures. Clin Infect Dis. 2014; 59(9):1265-1271. Crossref, Medline, Google Scholar
- 19. Predicting antibiotic resistance in urinary tract infection patients with prior urine cultures. Antimicrob Agents Chemother. 2016; 60(8):4717-4721. Crossref, Medline, Google Scholar
- 20. . Two simple rules for improving the accuracy of empiric treatment of multidrug-resistant urinary tract infections. Antimicrob Agents Chemother. 2015; 59(12):7593-7596. Crossref, Medline, Google Scholar
- 21. Predictive value of antimicrobial susceptibility from previous urinary tract infection in the treatment of re-infection. Br J Gen Pract. 2010; 60(576):511-513. Crossref, Medline, Google Scholar
- 22. Analysis of recurrent urinary tract infection management in women seen in outpatient settings reveals opportunities for antibiotic stewardship interventions. Antimicrob Steward Healthc Epidemiol. 2022; 2(1):e8. Crossref, Medline, Google Scholar
- 23. . Analysis and presentation of cumulative antibiograms: a new consensus guideline from the Clinical and Laboratory Standards Institute. Clin Infect Dis. 2007; 44(6):867-873. Crossref, Medline, Google Scholar
- 24. CLSI: Crosswalk of Documents Referenced Within CAP Accreditation Checklists. Clinical and Laboratories and Standards Institute; 2022. Google Scholar
- 25. . Understanding and addressing CLSI breakpoint revisions: a primer for clinical laboratories. J Clin Microbiol. 2019; 57(6):e00203-19. Crossref, Medline, Google Scholar
- 26. . Bayes' rule in diagnosis. J Clin Epidemiol. 2021; 131:158-160. Crossref, Medline, Google Scholar
- 27. International clinical practice guidelines for the treatment of acute uncomplicated cystitis and pyelonephritis in women: a 2010 update by the Infectious Diseases Society of America and the European Society for Microbiology and Infectious Diseases. Clin Infect Dis. 2011; 52(5):e103-e120. Crossref, Medline, Google Scholar
- 28. The emerging threat of multidrug-resistant gram-negative bacteria in urology. Nat Rev Urol. 2015; 12(10):570-584. Crossref, Medline, Google Scholar
Support: This investigator-initiated research study was funded by Rebiotix, a Ferring Company. M.V.K is supported in part by the Health Resources and Services Administration, an agency of the US Department of Health and Human Services (grant no. T32 HP10031). B.W.T. is supported in part by the US Department of Veterans Affairs Health Services Research and Development Service (grant no. CIN 13-413) at the Center for Innovations in Quality, Effectiveness, and Safety.
Conflict of Interest Disclosures: The Authors have no conflicts of interest to disclose.
Ethics Statement: This study received Institutional Review Board approval (IRB no. H-46627).
Author Contributions: All Authors have fulfilled the 4 criteria set forth for authorship by the International Committee of Medical Journal Editors.
Data Availability: The data sets generated during and/or analyzed during the current study are not publicly available due to patient confidentiality, but a de-identified data set is available from the corresponding author on reasonable request.
Disclaimer: The contents do not represent the views of VA or the United States Government.
Editor's Note: This article is the fourth of 5 published in this issue for which Category 1 CME credits can be earned. Instructions for obtaining credits are given with the questions on pages 201 and 202.