Evidence map›Paper›PMID 30268142›Full record

ArticleCritical care (London, England)2018

A complete and multifaceted overview of antibiotic use and infection diagnosis in the intensive care unit: results from a prospective four-year registration.

Liesbet De Bus, Bram Gadeyne, Johan Steen, Jerina Boelens, Geert Claeys, Dominique Benoit, Jan De Waele, Johan Decruyenaere, Pieter Depuydt

Abstract read
In one paragraph

Article in Critical care (London, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Liesbet De BusDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium. liesbet.debus@ugent.be.ORCID 0000-0003-1456-5857
Bram GadeyneDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Johan SteenDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Jerina BoelensDepartment of Laboratory Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Geert ClaeysDepartment of Laboratory Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Dominique BenoitDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Jan De WaeleDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Johan DecruyenaereDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.
Pieter DepuydtDepartment of Critical Care Medicine, Ghent University Hospital, C. Heymanslaan 10, 9000, Ghent, Belgium.

Funding

Clinical Research Grant from Ghent University Hospital, Belgium KW/1394/INT/001/001Institute for the Promotion of Innovation through Science and Technology in Flanders IWT-TBM COSARA-grant number 060517
6 · The paper itself

Abstract

backgroundPreparing an antibiotic stewardship program requires detailed information on overall antibiotic use, prescription indication and ecology. However, longitudinal data of this kind are scarce. Computerization of the patient chart has offered the potential to collect complete data of high resolution. To gain insight in our global antibiotic use, we aimed to explore antibiotic prescription in our intensive care unit (ICU) from various angles over a prolonged time period.

methodsWe studied all adult patients admitted to Ghent University Hospital ICU from 1 January 2013 until 31 December 2016. Antibiotic prescription data were prospectively merged with diagnostic (suspected focus, severity and probability of infection at the time of prescription, or prophylaxis) and microbiology data by ICU physicians during daily workflow through dedicated software. Definite focus of infection and probability of infection (classified as high/moderate/low) were reassessed by dedicated ICU physicians at patient discharge.

resultsDuring the study period, 8763 patients were admitted and overall antibiotic consumption amounted to 1232 days of therapy (DOT)/1000 patient days. Antibacterial DOT (84% of total DOT) were linked with infection in 80%; the predominant foci were the respiratory tract (49%) and the abdomen (19%). A microbial cause was identified in 56% (3169/5686). Moderate/low probability infections accounted for 42% of antibacterial DOT prescribed for respiratory tract infections; for abdominal infections, this figure was 15%. The median treatment duration of moderate/low probability respiratory infections was 4 days (IQR 3-7). Antifungal DOT (16% of total DOT) were linked with infection in 47% of total antifungal DOT. Antifungal prophylaxis was primarily administered in the surgical ICU (76%), with a median duration of 4 DOT (IQR 2-9).

conclusionsBy prospectively combining antibiotic, microbiology and clinical data we were able to construct a longitudinal, multifaceted dataset on antibiotic use and infection diagnosis. A complete overview of this kind may allow the identification of antibiotic prescription patterns that require future antibiotic stewardship attention.

Indexed as

AdolescentAdultAgedAnti-Bacterial AgentsAntimicrobial StewardshipAPACHEDrug UtilizationFemaleHumansInfectionsIntensive Care UnitsMaleMiddle AgedProspective StudiesStatistics, NonparametricAnti-Bacterial AgentsAntibiotic stewardshipElectronic surveillanceInfectionIntensive care unitLongitudinal surveillance

Identifiers

PMID30268142
PMCPMC6162888

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.