Evidence map›Paper›PMID 35120555›Full record

ArticleAntimicrobial resistance and infection control2022

Geographical differences of carbapenem non-susceptible Enterobacterales and Acinetobacter spp. in Germany from 2017 to 2019.

Anja von Laer, Tim Eckmanns, Benedikt Zacher, Niels Pfennigwerth, Sören G Gatermann, Felix Reichert, Michaela Diercke, Gyde Steffen, Doris Altmann, Annicka Reuss

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2022. 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
0.4field-weighted citation impact, top 54% of its field
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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Therapy-relevant antibiotic resistances in a One Health context].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2023
    Review
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

10 authors at 2 institutions in 2 countries.

Anja von LaerDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany. LaerA@rki.de.ORCID 0000-0003-4010-1714
Tim EckmannsDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Benedikt ZacherDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Niels PfennigwerthGerman National Reference Centre for Multidrug-Resistant Gram-Negative Bacteria, Department of Medical Microbiology, Ruhr-University Bochum, Bochum, Germany.
Sören G GatermannGerman National Reference Centre for Multidrug-Resistant Gram-Negative Bacteria, Department of Medical Microbiology, Ruhr-University Bochum, Bochum, Germany.
Felix ReichertDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Michaela DierckeDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Gyde SteffenDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Doris AltmannDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Annicka ReussDepartment of Infectious Disease Epidemiology, Robert Koch-Institute, Berlin, Germany.
Robert Koch Institute · DERuhr University Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince May 2016, infection and colonisation with carbapenem non-susceptible Acinetobacter spp. (CRA) and Enterobacterales (CRE) have to be notified to health authorities in Germany. The aim of our study was to assess the epidemiology of CRA and CRE from 2017 to 2019 in Germany, to identify risk groups and to determine geographical differences of CRA and CRE notifications.

methodsCases were notified from laboratories to local public health authorities and forwarded to state and national level. Non-susceptibility was defined as intermediate or resistant to ertapenem, imipenem, or meropenem excluding intrinsic bacterial resistance or the detection of a carbapenemase gene. We analysed CRA and CRE notifications from 2017, 2018 and 2019 per 100,000 inhabitants (notification incidence), regarding their demographic, clinical and laboratory information. The effect of regional hospital-density on CRA and CRE notification incidence was estimated using negative binomial regression.

resultsFrom 2017 to 2019, 2278 CRA and 12,282 CRE cases were notified in Germany. CRA and CRE cases did not differ regarding demographic and clinical information, e.g. proportion infected. The notification incidence of CRA declined slightly from 0.95 in 2017 to 0.86 in 2019, whereas CRE increased from 4.23 in 2017 to 5.72 in 2019. The highest CRA and CRE notification incidences were found in the age groups above 70 years. Infants below 1 year showed a high CRE notification incidence, too. Notification incidences varied between 0.10 and 2.86 for CRA and between 1.49 and 9.99 for CRE by federal state. The notification incidence of CRA and CRE cases increased with each additional hospital per district.

conclusionThe notification incidence of CRA and CRE varied geographically and was correlated with the number of hospitals.The results support the assumption that hospitals are the main driver for higher CRE and CRA incidence. Preventive strategies and early control measures should target older age groups and newborns and areas with a high incidence.

Indexed as

AcinetobacterCarbapenemsAgedAnti-Bacterial AgentsHumansInfantInfant, NewbornMeropenemMicrobial Sensitivity TestsAnti-Bacterial AgentsCarbapenemsMeropenemAcinetobacterAntibiotic ResistanceCarbapenemsEnterobacteralesEpidemiologyGermanyPublic Health

Identifiers

PMID35120555
PMCPMC8815152
OpenAlexW4210454420

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.