Burden of Antibiotic Resistance in Gram-Negative Infections in Dutch Hospitals (GRAND-ABC)

November 7, 2019 updated by: MJM Bonten, UMC Utrecht

The Attributable Burden and Costs of Infections Caused by Antibiotic-Resistant Gram-Negative Bacteria in Dutch Hospitals

This study aims to assess how large an additional disease burden and what extra costs are generated by antibiotic resistance in patients suffering from infections caused by gram-negative bacteria, such as Escherichia coli and Pseudomonas aeruginosa, in hospitals in the Netherlands.

Study Overview

Detailed Description

This study addresses the following three aims:

  1. To provide a more accurate estimate than currently available of the incremental disease burden and attributable costs of antibiotic-resistant as compared to antibiotic-sensitive gram-negative bacteria (i.e. Enterobacteriaceae and non-fermenters). This analysis is focused on gram-negative infections for which patients are hospitalized. In a less detailed manner, the same analysis of disease burden and costs can be performed for acquiring a gram-negative infection during hospitalization.
  2. To identify determinants associated with resistance in gram-negative infections, to the extent that they are confounders of the relation between resistance and outcome.
  3. To adapt and optimize existing methodology to measure the burden of resistance, among others by calculating disability-adjusted life years (DALYs) which incorporate not merely mortality, but also morbidity.

GRAND-ABC is designed as a prospective parallel matched cohort, which will run for a year in each of the eight participating hospitals. The primary cohort is a random sample of all Gram-negative infections occurring in a participating hospital during the study period. This cohort can be divided on the basis of the primary determinant status (whether the Gram-negative pathogen is resistant or not based on Dutch guideline for multi-drug resistant organisms; Werkgroep Infectiepreventie (WIP). Bijzonder resistente micro-organismen (BRMO). December 2012. http://www.wip.nl/free_content/Richtlijnen/130424_BRMO.pdf) into two parallel subcohorts. Each patient in each of the subcohorts will be matched to one patient without a gram-negative infection. Together these will form the secondary cohort of non-infected patients: patients admitted to the hospital during the study period who are within the same risk set as the infected patients.

For all patients data collection will be performed by review of medical files, which will cover the entire admission during which they were included in the study, and all cause 30 day mortality. Data collection for the hospital stay covers confounders and effect modifiers of the associations studied, and feeds into the outcomes costs, DALYs and length of stay. For the cohort with gram-negative infections, data on infection parameters and antibiotic treatment parameters are also collected.

In addition, the subcohort with infections by multi-drug resistant organisms and a random 20% of the subcohort with infections by sensitive organisms will be selected for follow-up, consisting of sending questionnaires and renewed medical file review 30 days after the index culture date. In the case of ongoing sequelae of the gram-negative infection, this procedure is repeated 90 days after the index culture date. These questionnaires will feed into the outcomes costs, DALYs and quality-adjusted life years (QALYs).

Study Type

Observational

Enrollment (Actual)

3895

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

      • Amersfoort, Netherlands
        • Meander Medisch Centrum
      • Breda, Netherlands
        • Amphia Ziekenhuis
      • Eindhoven, Netherlands
        • Catharina Ziekenhuis
      • Hilversum, Netherlands
        • Tergooi
      • Nieuwegein, Netherlands
        • St. Antonius Ziekenhuis
      • Tilburg, Netherlands
        • St. Elisabeth Ziekenhuis
      • Utrecht, Netherlands
        • UMC Utrecht
      • Utrecht, Netherlands
        • Diakonessenhuis

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

Probability Sample

Study Population

Patients admitted to hospitals

Description

Inclusion Criteria:

  • Please refer to descriptions of two cohorts

Exclusion Criteria:

  • Patients on children's wards
  • Patients admitted to wards for long-term care or psychiatric wards, that were not subsequently admitted to acute care wards as a consequence of the infection
  • Patients admitted to wards that are excluded for logistic reasons such as the non-availability of electronic patient files, that were not subsequently admitted to included acute care wards as a consequence of the infection
  • Patients that have been included in the cohort of infected patients during the same hospitalization or within the past 30 (if not eligible for follow-up) or 90 (if eligible for follow-up) 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

Cohorts and Interventions

Group / Cohort
Patients with gram-negative infections

Sample (5/week/hospital) of all patients in a hospital that meet all of the following:

  • meeting the criteria of at least one infection entity based on (modified) definitions of the Center for Disease Control and Infection Prevention (CDC; Am J Infect Control 2008;36:309-32) (restricted to infections that have septic potential);
  • a culture with a gram-negative isolate (Enterobacteriaceae / Pseudomonas aeruginosa / Acinetobacter spp. / Stenotrophomonas maltophilia) with minimal inhibitory concentration (MIC) results from an automated system available that can be used to identify such an infection entity according to these criteria;
  • receipt of antibiotics (oral, intravenous or intramuscular) for this infection, the choice of which is determined by the culture with the gram-negative (i.e. this isolate is seen as the causative pathogen);
  • were admitted to the hospital during (part of) the infection episode.

Date of entry into cohort: date of index culture of infection episode

Non-infected patients

Matched sample of all patients that (1) were admitted to the hospital and (2) did not have a gram-negative infection according to the 4 criteria set out in the other group on the date used for matching. Selected by matching 1:1 to patients with gram-negative infections on (1) hospital, (2) length of hospital stay on the date the index culture for the infected patient was obtained, and (3) age.

Date of cohort entry: date of index culture of matched infected patient

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
All cause mortality
Time Frame: Up to 30 days
Death (whether in-hospital or after discharge) from any cause, as apparent from medical record or municipal registry.
Up to 30 days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Costs
Time Frame: Hospital stay (all patients; expected average 1 week) and up to 90 days (follow-up patients)

Costs generated from societal perspective, including:

  • Direct costs within healthcare sector, based on relating standard Dutch reference prices to (1) restricted chart review for all patients, (2) extensive collection of cost data in two of eight participating hospitals, (3) health care use after discharge, as recorded from medical files and reported by patients in questionnaires
  • Other direct costs (own out-of-pocket expenses and time invested by caregivers), as reported by patients in questionnaires
  • Indirect productivity losses, as reported by patients in questionnaires
  • (possibly) Decision-analytic modelling of costs generated by sequelae not within 90 days of index culture date

Questionnaires are not available for the non-infected cohort, and therefore the costs for acquiring gram-negative infections can only be calculated from the hospital perspective.

Hospital stay (all patients; expected average 1 week) and up to 90 days (follow-up patients)
DALYs
Time Frame: Up to 90 days

Years of Life Lost (YLL) and Years Lived with Disability (YLD) attributable to infection as apparent from an outcome tree of health outcomes related to gram-negative infections. This tree is preconceived, but modifiable according to observed sequelae in the study. A mathematical model for this outcome will be constructed that incorporates, apart from the observed sequelae in the study, factors such as (1) preexisting decreased life expectancy and quality of life due to comorbidity, (2) known transition parameters between health outcomes from literature, (3) confounding effects of comorbidity on transition parameters, (4) sequelae not observed within the time frame of data collection for the study, (5) 'baseline' change in health outcomes during hospitalization as apparent from the non-infected cohort, and (6) occupancy of several health outcome simultaneously.

This outcome will not be calculated for the non-infected cohort.

Up to 90 days
Length of stay
Time Frame: Hospital stay (expected average 1 week)
Number of days until hospital discharge.
Hospital stay (expected average 1 week)

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
QALYs
Time Frame: Up to 90 days

Measured by EuroQol 5 Dimensions 5 Levels (EQ-5D-5L) in questionnaires, as a confirmation of the DALY model results.

This outcome will not be calculated for the non-infected cohort.

Up to 90 days

Collaborators and Investigators

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

Sponsor

Investigators

  • Principal Investigator: Marc JM Bonten, MD PhD, UMC Utrecht, Utrecht, the Netherlands
  • Study Chair: Heidi SM Ammerlaan, MD PhD, Catharina Hospital, Eindhoven, the Netherlands

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)

June 1, 2013

Primary Completion (Actual)

March 1, 2016

Study Completion (Actual)

May 1, 2016

Study Registration Dates

First Submitted

October 30, 2013

First Submitted That Met QC Criteria

December 5, 2013

First Posted (Estimate)

December 10, 2013

Study Record Updates

Last Update Posted (Actual)

November 8, 2019

Last Update Submitted That Met QC Criteria

November 7, 2019

Last Verified

November 1, 2019

More Information

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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