Urinary Tract Infections Clinical Trial
Official title:
Effect of Inappropriate Therapy With Cefuroxime in Adult Patients Hospitalized With Pyelonephritis
Resistance to empirical antibiotic treatment has resulted in increased mortality and morbidity in serious infections caused by certain common resistant pathogens in the community. The risk for increased mortality has been also the motivation for recent guidelines that suggest early empirical antimicrobial treatment with broad spectrum antibiotics within a few hours of suspecting sepsis, regardless of the potential microorganism or infection focus. Resistance to second-generation cephalosporins among patients with community-acquired urinary tract infection by E. coli has exceeded 20% in an increasing number of institutions and communities, without being clear about the impact of such resistance on the effectiveness of treatment. This is especially important in urinary infections, since, in general, mortality is very low. We expect to establish if there is a relationship between inappropriate empirical therapy and morbidity (in terms of length of stay or readmission) among hospitalized patients with pyelonephritis treated with empirical cefuroxime therapy to help to define the need for a change in the current guidelines. These guidelines will have application not only in Colombia, but also in other countries in Latin America or other countries that still use this empirical therapy. It will also define the need for use of broader spectrum antibiotics in this clinical scenario.
Objectives: 1. Establish the relationship between inappropriate empirical cefuroxime therapy in adult patients hospitalized with pyelonephritis and hospital stay. 2. Establish the relationship between inappropriate empirical cefuroxime therapy in adult patients hospitalized with pyelonephritis and readmission due to pyelonephritis. 3. Establish the relationship between inappropriate empirical therapy with cefuroxime in adult patients hospitalized with pyelonephritis and the time to readmission caused pyelonephritis. The investigators proposed a retrospective cohort of hospitalized pyelonephritis patients with empirical antimicrobial management with cefuroxime in one institution of third complexity level. Exposure is understood as resistance to cefuroxime, that is, the impact of inappropriate empirical cefuroxime therapy on patients receiving this antibiotic. Patients who are admitted to the cohort had the diagnosis of pyelonephritis and were hospitalized for intravenous antimicrobial treatment and are followed up to the following outcomes: hospital discharge, or readmission due to pyelonephritis to the same or another institution of the insurance network. The study will be conducted following the Good Clinical Practices for Research and approval by the Research Ethics Committee (REC) or Investigation Research Boards (IRB) of the participating institutions. The clinical information will be collected through online forms based on the information in the electronic medical record. Microbiological information will be taken from clinical laboratory reports (Whonet ver 5.5., WHO). The accuracy of the information collected will be verified by evaluating 100% of the formats. A pilot test will be carried out after approval by the IRB (25 february, 2020). The information will be stored anonymously, discarding from the database personal information of the patient that might allow the identification. Variables collected from the Electronic Medical Record include demographic, clinical (comorbidities, clinical status) and microbiological information. Other variables include time to change antibiotic (if done) and time of use of antibiotic. Information for the outcomes proposed include length of stay (in days), readmission (new admission because of pyelonephritis in the following 30 days after the first episode), and time to readmission (in days). A propensity score matching will be performed to diminish the risk of selection bias and unbalanced subjects. Alternatively, and inverse probability treatment weighting can be used to balance the variables included. Both models will be constructed using a logistic regression for the probability of cefuroxime resistant. Final comparison between the exposed population and control population will be done using survival curves for the time to hospital discharge. ;
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