A Systematic Review and Network Meta-analysis of empirical Antibiotics for Complicated Urinary Tract Infections

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ID: 329899
2026
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Abstract
Abstract Background Empiric antibiotic selection for complicated urinary tract infections is increasingly complex due to the rising prevalence of multidrug-resistant organisms. We conducted a network meta-analysis to compare clinical efficacy and safety among existing empiric treatment options. Methods We performed a frequentist random-effects network meta-analysis of randomized controlled trials evaluating single-agent empiric regimens for adults with complicated urinary tract infections. The primary endpoints were clinical response, microbiological response, and serious adverse events. Ceftriaxone served as the common comparator. Results Forty-seven trials were identified through a systematic search. In the primary analysis of 17 studies published after the year 2000, evaluating agents currently accessible in the United States, in which baseline ceftriaxone non-susceptibility among Enterobacterales averaged approximately 15%. Ceftriaxone demonstrated clinical response rates comparable to broader-spectrum alternatives. Although some agents achieved higher microbiological eradication, these differences did not translate into superior clinical cure rates. Safety profiles were stable across antibiotic classes, with no significant differences in serious adverse events compared to cephalosporins. Conclusions Ceftriaxone remains an effective empiric option for hemodynamically stable adults with complicated urinary tract infections, in settings with comparable resistance prevalence. These findings provide evidence to support antimicrobial stewardship efforts that prioritize narrower-spectrum agents, preserving broader-spectrum therapies for patients at highest risk for resistant pathogens.
Reference Key
openalex_W7214455506 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal Open forum infectious diseases
Year 2026
DOI
10.1093/ofid/ofag592
URL
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