Recurrent urinary tract infections in healthy and nonpregnant women
Abstract
Recurrent urinary tract infections (RUTI) are prevalent and pose significant clinical challenges. Although the term RUTI has long been vaguely defined, a consensus definition has emerged in recent years. The exact etiology behind RUTI remains under debate, with valid arguments for both ascending reinfections as well as persistent infection inside the bladder. These persistent infections exist in the form of quiescent intracellular reservoirs in the mouse model and may represent a novel concept to explain UTI recurrence in humans. Manageable risk factors such as behavioral patterns alongside nonmanageable risk factors including genetic susceptibility are growing fields of investigation. Acute UTI have been studied through two model bacterial strains: Escherichia coli UTI89 and CFT073. However, the clinical relevance to RUTI of these two strains has not been firmly established. Current treatment strategies for RUTI are limited and remain dominated by antibiotic usage despite variable efficacy. The majority of studies in humans have focused on younger groups of women with little information available about the postmenopausal population despite a heightened risk of RUTI in this age group.
Read the paper
Related studies
- Horizontal gene transfer in the human gastrointestinal tract: potential spread of antibiotic resistance genes
- Mutation supply and relative fitness shape the genotypes of ciprofloxacin-resistant Escherichia coli
- Genomic Survey of E. coli From the Bladders of Women With and Without Lower Urinary Tract Symptoms
- Characterization of cefotaxime-resistant urinary Escherichia coli from primary care in South-West England 2017–18
- Fitness cost constrains the spectrum of marR mutations in ciprofloxacin-resistant Escherichia coli
- Emerging evidence-based innovative approaches to control catheter-associated urinary tract infection: a review
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.