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Background: Urinary tract infection (UTI) is a common complication of spinal cord injury (SCI). Urodynamic testing is widely used for characterization of vesico-sphincteric dysfunction and for therapeutic orientation. As an invasive procedure, the risk of UTI is increased so, in some medical centers, antibiotic prophylaxis is instituted. Fosfomycin is one of the antibiotics used. Objective: The aim of this study was to evaluate the incidence of UTI after urodynamics in patients with SCI, under fosfomycin prophylaxis. Methods: Retrospective analysis was performed on patients with SCI, admitted to a rehabilitation center between January 2016 and June 2017, who underwent urodynamics studies under fosfomycin prophylaxis. Demographic data, risk factors for UTI—bacteriuria before urodynamics, high residual volume (>100 mL), bladder emptying method, vesico-sphincteric dyssynergia, and detrusor hyperactivity were analyzed. The incidence of UTI after urodynamics was evaluated. Results: The study included 84 patients, predominantly men 55 (65.5%). The mean age of the patients was 55.6 (18.9). Eleven (22.5%) had vesico-sphincteric dyssynergia, 32 (65.3%) detrusor hyperactivity and 22 (44.9%) had a high residual volume. Thirty-seven (44.1%) had asymptomatic bacteriuria before the urodynamics. Urinary complaints suggestive of UTI after urodynamics were observed in 2(2.4%) of patients, without significant bacteriuria and identification of bacterial agent. Conclusions: The incidence of UTI after invasive procedures is reported between 3% and 20% in the literature, so antibiotic prophylaxis has been instituted, although controversial. In the study, in none of the patients the diagnosis of UTI was confirmed. Fosfomycin prophylaxis may have been important in reducing the incidence of UTI.

The bank-branch restructuring problem seeks to locate bank-branches by maintaining, closing, or opening branches, to provide the service required by clients, at minimum total cost. This nonlinear problem, due to the existence of economies of scale, is formulated as a mixed binary, integer linear model. The model obtained can be solved by a ready-available software. However, due to the problem combinatorial nature, only small size instances can be solved. Thus, we also propose a local search heuristic that iteratively improves the solution obtained for a related linear problem by applying drop and swap operations. The computational experiments performed show the effectiveness and efficiency of the proposed heuristic.