P-776. A Network Meta-analysis of Empirical Antibiotics for complicated Urinary Tract Infections
Abstract
Abstract Background Urinary tract infections (UTIs) are common bacterial infections causing significant morbidity, mortality, hospital admissions, and health care costs. Rising Antimicrobial Resistance (AMR) in Gram-negative bacilli (GNB), even in community-acquired infections, are making the treatment of UTIs more challenging, underscores the need for developing and evaluating novel therapies and treatment algorithms. Network Meta Analysis (NMA) is a statistical method that integrates both direct comparisons from head-to-head trials and indirect evidence across studies to simultaneously evaluate and rank multiple treatment options. We hypothesized that various empirical antimicrobial treatments for complicated UTIs (cUTIs) have similar efficacy and safety. We used NMA to examine this hypothesis. Network geometry for clinical response in randomized trials of empirical antibiotics for complicated urinary tract infection Red circles represent individual antibiotic regimens; circle diameter is proportional to the cumulative sample size for that treatment (n shown in parentheses). Black connecting lines indicate direct head-to-head comparisons; the numeral on each edge denotes the exact trial count. Outcomes refer to clinical response. Network geometry for microbiological response in randomized trials of empirical antibiotics for complicated urinary tract infection Red circles represent individual antibiotic regimens; circle diameter is proportional to the cumulative sample size…
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Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 9,826 participants or records.
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