Evidence map›Paper›PMID 40646273›Full record

ArticleScientific reports2025

Analysis of ICU resistome dynamics in patients, staff and environment for the identification of predictive biomarkers of sepsis and early mortality.

Maja Mikolas, Peter Fauszt, Annamaria Petrilla, Peter Nemeth, Peter David, Emese Szilagyi-Tolnai, Anna Szilagyi-Racz, Aniko Stagel, Ferenc Gal, Kristof Gal and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. 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

17 authors.

Maja MikolasFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Peter FausztFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Annamaria PetrillaCentral Anesthesiology and Intensive Patient Care Department, Vas County Markusovszky University Teaching Hospital, Szombathely, Hungary.
Peter NemethCentral Anesthesiology and Intensive Patient Care Department, Vas County Markusovszky University Teaching Hospital, Szombathely, Hungary.
Peter DavidFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Emese Szilagyi-TolnaiFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Anna Szilagyi-RaczFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Aniko StagelHungarian National Blood Transfusion Service Nucleic Acid Testing Laboratory, Budapest, Hungary.
Ferenc GalFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Kristof GalDepartment of Oncoradiology, University of Debrecen Clinical Centre, Debrecen, Hungary.
Reka SohajdaHungarian National Blood Transfusion Service Nucleic Acid Testing Laboratory, Budapest, Hungary.
Zsombor SzokeFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Syed Akib HossainDepartment of Mathematics and Natural Sciences, BRAC University, Dhaka, Bangladesh.
Laszlo StundlFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Institute of Food Technology, Debrecen, Hungary.
Sandor BiroFaculty of Medicine, Department of Human Genetics, University of Debrecen, Debrecen, Hungary.
Judit RemenyikFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary.
Melinda PaholcsekFaculty of Agricultural and Food Sciences and Environmental Management, University of Debrecen, Complex Systems and Microbiome-innovations Centre, Debrecen, Hungary. paholcsek.melinda@agr.unideb.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a global crisis, posing a critical challenge to healthcare systems, particularly in intensive care units (ICUs), where multidrug-resistant organisms (MDROs) threaten patient survival. This study offers a unique, real-world perspective on AMR dynamics by analyzing 96 metagenomic samples from three key sources: oropharyngeal and rectal swabs of deceased ICU patients (both postadmission and antemortem), healthcare workers, and high-touch ICU surfaces. Findings revealed the ICU environment as a major AMR reservoir, with oropharyngeal swabs carrying the highest AMR burden. While healthcare staff facilitated MDRO spread, they were not primary sources. Staff microbiomes' MDRO pattern closely resembled environmental samples. Key AMR species included B. fragilis, E. coli, S. pneumoniae, S. aureus, with P. aeruginosa persisting on high-touch surfaces. Tetracycline resistance was the most prevalent, with common resistances comprising 36.1% of all detected AMR markers. Staff microbial community exhibited higher resistance to macrolides, fluoroquinolones, lincosamides, and cephamycins. A 10-day survival threshold distinguished early (EM) and late mortality (LM) groups. EM patients exhibited unique AMR species in the oropharynx, suggesting respiratory-driven infections, while LM patients showed greater gut-associated resistance. Higher rectal AMR counts correlated with prolonged survival. Notably, four key MDROs (L. monocytogenes, M. tuberculosis, S. haemolyticus, and S. agalactiae) were enriched in sepsis patients, suggesting early risk markers. Fewer new resistances emerged in rectal than oropharyngeal swabs, likely due to antibiotic selection pressure. Vancomycin and levofloxacin, frequently co-administered, exerted stronger selective pressure in the oropharynx, possibly explaining the high MRSA prevalence in patient and environmental samples.

Indexed as

Drug Resistance, Multiple, BacterialIntensive Care UnitsSepsisAgedAnti-Bacterial AgentsBacteriaBiomarkersDrug Resistance, BacterialFemaleHealth PersonnelHumansMaleMicrobiotaMiddle AgedOropharynxAnti-Bacterial AgentsBiomarkers

Identifiers

PMID40646273
PMCPMC12254246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.