Evidence map›Paper›PMID 41254744›Full record

ArticleAntimicrobial resistance and infection control2025

Impact of COVID-19 isolation measures on ICU microbial resistance dynamics: simulation-based statistical modeling analysis.

Michal Sitina, Milada Dvorackova, Renata Tejkalova, Vladimir Sramek

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

4 authors.

Michal SitinaDepartment of Anaesthesiology and Intensive Care Medicine, St. Anne´s University Hospital, Pekarska 664/53, Brno, 656 91, Czech Republic. michal.sitina@fnusa.cz.ORCID 0000-0001-6769-8616
Milada DvorackovaDepartment of Microbiology, St. Anne´s University Hospital, Pekarska 664/53, Brno, 656 91, Czech Republic.ORCID 0000-0002-7752-3825
Renata TejkalovaDepartment of Microbiology, St. Anne´s University Hospital, Pekarska 664/53, Brno, 656 91, Czech Republic.
Vladimir SramekDepartment of Anaesthesiology and Intensive Care Medicine, St. Anne´s University Hospital, Pekarska 664/53, Brno, 656 91, Czech Republic.ORCID 0000-0002-6283-4073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe transmission of antibiotic-resistant bacteria in intensive care units (ICUs) poses a significant challenge to infection control and patient safety. While direct patient-to-patient transmission is well documented, the relative contributions of endogenous bacterial selection and cross-transmission remain uncertain.

methodsThis retrospective study analyzed microbiological data from two ICUs at St. Anne's University Hospital in Brno, Czech Republic, between 2018 and 2021. Machine learning algorithms and random simulation models were employed to evaluate clustering patterns of resistant bacterial detections and to distinguish between exogenous cross-transmission and endogenous bacterial acquisition. Bacterial findings were compared across three epidemiologically distinct periods-precovid, covid, and intercovid-characterized by differing hygiene protocols and patient populations. The study assumes that the historically unprecedented hygiene measures during the COVID-19 pandemic substantially reduced horizontal cross-transmission, thereby providing a unique opportunity to estimate the relative contributions of exogenous transmission and endogenous acquisition under routine ICU conditions.

resultsThe prevalence of Pseudomonas aeruginosa (PSAE) was four times higher during the covid period than precovid and remained elevated in the intercovid period. Stenotrophomonas maltophilia detections tripled during covid, while Klebsiella pneumoniae and Escherichia coli resistant to cefotaxime doubled. The proportion of first bacterial detections occurring after 48 h of ICU admission was significantly higher during covid. Clustering analysis revealed no significant deviation from random distribution for most bacteria, except for PSAE, which exhibited non-random clustering, particularly in the intercovid period. Stenotrophomonas maltophilia showed a highly uneven distribution between the two ICUs, suggesting long-term environmental persistence.

conclusionOur findings suggest that antibiotic selection pressure is the primary driver of resistant bacteria acquisition in ICUs, while direct cross-transmission appears to play a limited role. However, environmental persistence may contribute to the recurrent detection of Stenotrophomonas maltophilia, emphasizing the need for enhanced decontamination strategies.

Indexed as

COVID-19Cross InfectionDrug Resistance, BacterialIntensive Care UnitsAnti-Bacterial AgentsCzech RepublicHumansInfection ControlKlebsiella pneumoniaeModels, StatisticalPseudomonas aeruginosaRetrospective StudiesSARS-CoV-2Stenotrophomonas maltophiliaAnti-Bacterial AgentsAntibiotic resistanceCross-transmissionEnvironmental persistenceInfection controlIntensive care unitMachine learningPseudomonas aeruginosaStenotrophomonas maltophilia

Identifiers

PMID41254744
PMCPMC12625314

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LicenceCC BY-NC-ND
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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.