Evidence map›Paper›PMID 39335010›Full record

ArticleAntibiotics (Basel, Switzerland)2024

Impact of the COVID-19 Pandemic on Inpatient Antibiotic and Antifungal Drug Prescribing Volumes in Germany.

Winfried V Kern, Michaela Steib-Bauert, Jürgen Baumann, Evelyn Kramme, Gesche Först, Katja de With

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Antibiotic consumption patterns in acute care hospitals: an integrated analysis using regression modelling combining data from two surveillance systems, Germany, 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  3. Article
  4. An in-depth analysis of antimicrobial prescription quality in 10 non-university hospitals, in southwest Germany, 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
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

6 authors.

Winfried V KernDivision of Infectious Diseases, Department of Medicine II, University Hospital and Medical Centre, and Faculty of Medicine, Albert-Ludwigs-University, 79106 Freiburg, Germany.ORCID 0000-0003-2550-358X
Michaela Steib-BauertDivision of Infectious Diseases, Department of Medicine II, University Hospital and Medical Centre, and Faculty of Medicine, Albert-Ludwigs-University, 79106 Freiburg, Germany.
Jürgen BaumannCentral Pharmacy, Medius-Kliniken, 73760 Ostfildern-Ruit, Germany.
Evelyn KrammeDepartment of Infectious Diseases and Microbiology, University Hospital Schleswig-Holstein Campus Lübeck, University of Lübeck, 23562 Lübeck, Germany.ORCID 0009-0006-6954-2360
Gesche FörstDivision of Infectious Diseases, Department of Medicine II, University Hospital and Medical Centre, and Faculty of Medicine, Albert-Ludwigs-University, 79106 Freiburg, Germany.ORCID 0009-0009-6236-6597
Katja de WithDGI-Deutsche Gesellschaft für Infektiologie, 10789 Berlin, Germany.ORCID 0000-0001-9473-3018

Funding

This study was in part supported by the German Center for Infection Research (DZIF) (grant TTU 08.817) and the Akademie für Infektionsmedizin. DZIF TTU 08.817
6 · The paper itself

Abstract

backgroundPrevious studies found that the coronavirus disease 2019 (COVID-19) pandemic had a variable impact on the consumption of antimicrobial drugs in human medicine, with trends in several European countries differing between community and inpatient prescribing.

aimThis study analysed changes in the volumes and use density of antibacterial and antifungal drugs dispensed in acute care hospitals in Germany between 2019 and 2022.

methodsSurveillance data for the four years available from 279 hospitals were expressed as the total volumes of daily doses or as use density (daily doses per 100 patient/occupied bed days) per year and analysed descriptively, using recommended hospital-adapted daily dose definitions (RDDs) and (as sensitivity analysis) WHO/ATC-defined daily dose definitions (DDD). Hospitals were stratified according to size (number of beds), university affiliation, and location (East, West, South).

resultsThere were significant decreases in both the total number of patient days and antibacterial drug volumes in 2020 through 2022 compared with 2019. The relative changes between 2019 and 2020, 2021, and 2022 were -12.8%, -13.5%, and -13.3% for patient days, and -9.7%, -11.0%, and -10.1% for antibacterial RDDs, respectively. Broad-spectrum betalactams, notably piperacillin-tazobactam and carbapenems, increased in volume, unlike most other drug classes. The resulting antibacterial drug use density was slightly but significantly increased, with pooled means (and medians) of 43.3 (40.0) RDD/100 in 2019 compared to 44.8 (41.7), 44.5 (40.80), and 44.9 (41.7) RDD/100 in the years 2020 through 2022, respectively. Antifungal drug volumes and use density increased after 2019 and peaked in 2021 (the difference between 2019 and 2021 for total volumes was +6.4%, and that for pooled mean use density values was +22.9%, respectively). These trends were similar in the different hospital strata and comparable when DDDs instead of RDDs were used.

conclusionsSimilar to what has been observed in a majority of European countries, the total volume of antibacterial drug use in German acute care hospitals decreased with the pandemic, without a rebound phenomenon in 2022. In association with restricted hospital capacities and presumably more immunocompromised general medicine patients, however, inpatient prescribing of (primarily broad-spectrum) antibacterials and of antifungal drugs increased.

Indexed as

antibiotic useantimicrobial resistanceantimicrobial stewardshipcoronavirus pandemichospital antibiotic consumption

Identifiers

PMID39335010
PMCPMC11429143

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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.