Analysis of the Quality and Quantity of Antibiotic Prescriptions for Bacterial Respiratory Tract Superinfection in Patients Hospitalized in COVID-19 Wards
NCT ID: NCT04544072
Last Updated: 2020-09-10
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
400 participants
OBSERVATIONAL
2020-05-01
2021-03-01
Brief Summary
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Drivers of antibiotic prescription for presumed respiratory tract infection in patients suspected of being infected with COVID-19 or with definite COVID-19 infections will be identified.
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Detailed Description
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A quantification of the total amount of antibiotics, prescribed for presumed respiratory tract (super)infection will be made for patients with a COVID-19 diagnosis, but also a quantification for every category of appropriateness will be made.
Possible drivers like the degree of hypoxemia, laboratory parameters, qSOFA score, duration of symptoms, age, comorbidities, symptoms,... associated with the prescription of antimicrobials for a presumed respiratory tract (sur)infection will be identified.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* patients not willing to sign the informed consent form
* patients hospitalized for a shorter duration than 24 hours on a COVID-19 ward
18 Years
ALL
No
Sponsors
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Universitair Ziekenhuis Brussel
OTHER
Responsible Party
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Johan Van Laethem
Principal investigator
Principal Investigators
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Johan Dr Van Laethem, MD
Role: PRINCIPAL_INVESTIGATOR
Principal Investigator
Locations
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UZ Brussel
Brussels, , Belgium
Countries
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Central Contacts
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Facility Contacts
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References
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Van Laethem J, Wuyts S, Van Laere S, Dirkx S, Seyler L, Mertens R, Ilsen B, Lacor P, Pierard D, Allard SD. Antibiotic Prescriptions Targeting Bacterial Respiratory Infections in Admitted Patients with COVID-19: A Prospective Observational Study. Infect Dis Ther. 2021 Dec;10(4):2575-2591. doi: 10.1007/s40121-021-00535-2. Epub 2021 Sep 16.
Other Identifiers
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2020-163
Identifier Type: -
Identifier Source: org_study_id
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