Cefuroxime Resistance in Pyelonephritis

August 1, 2021 updated by: Jorge Alberto Cortes Luna, Universidad Nacional de Colombia

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.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

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.

Study Type

Observational

Enrollment (Actual)

973

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • DC
      • Bogota, DC, Colombia, 111134
        • Clinica Reina Sofia

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Patiens with ≥ 18 years with a clinical diagnosis of community acquired pyelonephritis that require hospitalization and with positive culture for Escherichia coli.

Description

Inclusion Criteria:

  • Age ≥ 18 years.
  • Clinical diagnosis of pyelonephritis.
  • Antibiotic treatment with cefuroxime.
  • Urine culture positive for Escherichia coli

Exclusion Criteria:

  • Use of antibiotic for less than 24 hours.
  • Not availability of antimicrobial susceptibility testing.
  • Use of urinary catheter for more than 30 days.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Time to hospital discharge
Time Frame: Up to 30 days
Time since admission to hospital discharge
Up to 30 days
Readmission
Time Frame: Up to 30 days after discharge
Proportion of patients admitted to hospital because of new episode of urinary tract infection
Up to 30 days after discharge
Time to readmission
Time Frame: Up to 30 days after discharge
Time since discharge to readmission
Up to 30 days after discharge

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Jorge A Cortes, MD, Univesidad Nacional de Colombia

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

December 26, 2020

Primary Completion (Actual)

June 30, 2021

Study Completion (Actual)

July 30, 2021

Study Registration Dates

First Submitted

October 18, 2020

First Submitted That Met QC Criteria

November 3, 2020

First Posted (Actual)

November 4, 2020

Study Record Updates

Last Update Posted (Actual)

August 3, 2021

Last Update Submitted That Met QC Criteria

August 1, 2021

Last Verified

August 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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