Evidence map›Paper›PMID 37338782›Full record

ArticleInfection2023

Multidrug-resistant isolates from Ukrainian patients in a German health facility: a genomic surveillance study focusing on antimicrobial resistance and bacterial relatedness.

Claudia Stein, Maria Zechel, Riccardo Spott, Mathias W Pletz, Frank Kipp

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Genomic Epidemiology ofChina CDC weekly · 2026
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  7. Phenotypic and genotypic analysis ofJAC-antimicrobial resistance · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. In-depth characterization ofFrontiers in cellular and infection microbiology · 2025
    Article
  14. Article
  15. Article
  16. [Microbiological challenges in the treatment of war injuries].Unfallchirurgie (Heidelberg, Germany) · 2024
    Review
  17. 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

5 authors at 1 institution in 1 country.

Claudia SteinInstitute for Infectious Diseases and Infection Control, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany. claudia.stein@med.uni-jena.de.
Maria ZechelInstitute for Infectious Diseases and Infection Control, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Riccardo SpottInstitute for Infectious Diseases and Infection Control, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Mathias W PletzInstitute for Infectious Diseases and Infection Control, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Frank KippInstitute for Infectious Diseases and Infection Control, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
Jena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAntimicrobial resistance is a pressing issue in Ukraine, with healthcare-associated infections caused by multidrug-resistant organisms being a major concern. A recent prospective multicenter study revealed a staggering rate of 48.4% antimicrobial resistance to carbapenems among Enterobacterales causing a healthcare-associated infection. We conducted a systematic survey to investigate the incidence rate and incidence density of carbapenemase-producing Gram-negative bacteria (CPGN) among refugees and war-wounded Ukrainians in connection with the German health system.

methodsFrom the onset of the war until November 2022, seven Ukrainian patients were admitted to our hospital. Upon admission, screening samples and samples from the focus of suspected infection were taken from all seven patients. The incidence rate and the incidence density of CPGN were calculated as a result of the microbiological findings. We sequenced all CPGN using Illumina technology.

resultsThe incidence rate of CPGN at our hospital was 0.06 for 2021 and 0.18 for 2022. All seven Ukrainian patients were infected or colonized with at least one CPGN, including K. pneumoniae (14/25), P. aeruginosa (6/25), A. baumannii (1/25), Providencia stutartii (1/25), C. freundii (1/25), and E. coli (2/25). Genomic surveillance revealed that (i) most frequently detected carbapenemases among all sequenced isolates were bla

conclusionThe rising prevalence of community-acquired colonization and infection with CPGN is having a direct effect on the infection prevention measures, such as higher number of isolations, reprocessing of patient rooms, additional microbiological testing and overall organization within hospitals.

Indexed as

Anti-Bacterial AgentsCross InfectionBacterial Proteinsbeta-LactamasesDrug Resistance, BacterialEscherichia coliGenomicsHumansKlebsiella pneumoniaeMicrobial Sensitivity TestsAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasesAntimicrobial resistanceCarbapenemasescgMLSTCommunity-acquiredIncidence rateInfection control

Identifiers

PMID37338782
PMCPMC10665453
OpenAlexW4381308323

What OpenQuestion holds

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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.