Evidence map›Paper›PMID 41269695›Full record

ArticleJAMA network open2025

Prospective Whole-Genome Sequencing to Identify Bacterial Transmission and Its Modifiers in Neonates.

Timmy Nguyen, Fabian Bürkin, Stefany Ayala-Montaño, Iván Acevedo Monterrosa, Daniel Jonas, Daniel Klotz, Hans Fuchs, Martin Kuntz, Christian Schneider, Martin Wolkewitz and 4 more

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Timmy NguyenInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Fabian BürkinInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Stefany Ayala-MontañoInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Iván Acevedo MonterrosaInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Daniel JonasInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Daniel KlotzDepartment of General Pediatrics, Adolescent Medicine and Neonatology, Medical Center-University of Freiburg, Freiburg, Germany.
Hans FuchsDepartment of General Pediatrics, Adolescent Medicine and Neonatology, Medical Center-University of Freiburg, Freiburg, Germany.
Martin KuntzDepartment of General Pediatrics, Adolescent Medicine and Neonatology, Medical Center-University of Freiburg, Freiburg, Germany.
Christian SchneiderInstitute for Medical Microbiology and Hygiene, Medical Center-University of Freiburg, Freiburg, Germany.
Martin WolkewitzInstitute of Medical Biometry and Statistics, Medical Center-University of Freiburg, Freiburg, Germany.
Tjibbe DonkerInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Sandra ReuterInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Tim GöttingInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.
Philipp HennekeInstitute for Infection Prevention and Control, Medical Center-University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Infants in neonatal intensive care units (NICUs) are at risk of acquiring organisms with multidrug resistance or high epidemic potential (MDRO+), which may precede invasive infections. High-resolution analysis of transmission cultures of MDRO+ may help mitigate these risks through targeted infection prevention measures. Objectives: To assess the potential of whole-genome sequencing in resolving suspected transmission chains of MDRO+ and to identify associated risk factors for cluster involvement. Design, Setting, and Participants: This prospective monocentric cohort study was conducted at a level III NICU at the Medical Center-University of Freiburg, Freiburg, Germany. Of 551 admitted infants, 434 were included because they remained on the ward for 48 hours or more and received 1 or more screenings between February 15, 2019, and November 16, 2020. Statistical analysis was conducted from December 1, 2021, to November 10, 2024. Exposures: Time-dependent patient- and ward-level factors, medical device use, nursing effort score, invasive procedures, antibiotic use, prevalence of MDRO+, and staffing metrics were analyzed for association with transmission chains. Main Outcomes and Measures: The primary outcome was transmission of MDRO+, defined as colonization or invasion with genetically indistinguishable bacteria, defined by amplified fragment length polymorphism or whole-genome sequencing. Secondary outcomes included colonization rates, bloodstream infections, and risk factors associated with transmission. Results: The study included 434 infants (median gestational age, 34.6 weeks [IQR, 31.4-38.3 weeks]; 242 boys [55.8%]; median birth weight, 2165 g [IQR, 1410-2965 g]). Overall, 225 patients (51.8% [95% CI, 47.1%-56.5%]) were colonized with at least 1 MDRO+. Of 418 unique colonizations, 142 (34.0% [95% CI, 29.6%-38.6%]) were linked with transmission by whole-genome sequencing. Thirty-seven unique transmission clusters were identified, most frequently involving Escherichia coli (n = 11). Four of 10 bloodstream infections with MDRO+ (40.0%) were linked with transmission events. Increased full-time nurse staffing (odds ratio [OR], 0.28 [95% CI, 0.21-0.38]; P < .001) and prior antibiotic use (OR, 0.41 [95% CI, 0.26-0.63]; P < .001) were associated with decreased transmission risk, while vascular catheter use was associated with increased transmission risk (OR, 1.65 [95% CI, 1.26-2.17]; P < .001). Conclusions and Relevance: This cohort study involving infants in the NICU suggests that bacterial sequencing can accurately detect bacterial transmission events. Multivariate analysis suggests that the bacterial transmission risk on a NICU can be modified.

Indexed as

Cross InfectionWhole Genome SequencingDrug Resistance, Multiple, BacterialFemaleGermanyHumansInfant, NewbornInfection ControlIntensive Care Units, NeonatalMaleProspective StudiesRisk Factors

Identifiers

PMID41269695
PMCPMC12639485

What OpenQuestion holds

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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.