Association of antimicrobial consumption with

Nasstasja Wassilew, Alexandra Zehnder, Andrew Atkinson, Andreas Kronenberg, Jonas Marschall

Abstract read

In one paragraph

Article in Infection prevention in practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nasstasja WassilewDepartment of Infectious Diseases and Hospital Epidemiology, Bern University Hospital, University of Bern, Bern, Switzerland.

Alexandra ZehnderInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.

Andrew AtkinsonDivision of Infectious Diseases, Washington University School of Medicine, St. Louis, MO, US.

Andreas KronenbergInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.

Jonas MarschallDepartment of Infectious Diseases and Hospital Epidemiology, Bern University Hospital, University of Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: This retrospective correlation study used data on CDI and antibiotic prescriptions from 1.1.2008 to 31.12.2021. CDI episodes were defined using CDC criteria. Antibiotic consumption was reported per WHO in defined daily doses (DDD). A mixed effects logistic regression model was fitted with each department as random effect to determine CDI incidence as a function of year and adjusted for antibiotic consumption. Results: Amoxicillin-clavulanate showed the highest annual consumption across the 17 departments (median 13.5 DDD/100 patient-days). The average CDI incidence was highest in nephrology (22.3/10'000 patient-days) and lowest in otorhinolaryngology (0.1/10'000 patient-days). We observed an association between overall antimicrobial consumption and CDI incidence (incidence risk ratio (IRR) per 10 DDD/100 patient-days of 1.16, 95% confidence interval (1.09, 1.23), Conclusions: We detected an association between antibiotic consumption and CDI incidence across the departments of an academic hospital; however, we could only correlate departmental CDI incidence with the usage of select antibiotics.

Indexed as

Acute care hospitalAntibiotic consumptionClostridioides difficileCorrelationIncidenceNosocomial

Identifiers

PMID40678587

DOI10.1016/j.infpip.2025.100468

PMCPMC12268024

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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.