Evidence map›Paper›PMID 34599280›Full record

ReviewPediatric research2022

Neonatal multidrug-resistant gram-negative infection: epidemiology, mechanisms of resistance, and management.

Dustin D Flannery, Kathleen Chiotos, Jeffrey S Gerber, Karen M Puopolo

Open access · greenAbstract readReview
In one paragraph

Review in Pediatric research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 5% 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

61 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Risk factors for multidrug resistance and mortality in healthcare-associated neonatal gram-negative bloodstream infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. TheInternational journal of molecular sciences · 2026
    Review
  13. Article
  14. Bacterial and fungal infections in infants born before 24 weeks' gestation: a review.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Review
  15. Review
  16. Research Progress on perinatalFrontiers in microbiology · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Prevalence and Antimicrobial Resistance ofInfection and drug resistance · 2026
    Article

1 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Dustin D FlanneryDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA. flanneryd@chop.edu.
Kathleen ChiotosDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Jeffrey S GerberDepartment of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Karen M PuopoloDivision of Neonatology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Children's Hospital of Philadelphia · USUniversity of Pennsylvania · US

Funding

PEDSnet Scholars: A Training Program for Pediatric Learning Health System ResearchersK12HS026393 · AHRQ · CHILDREN'S HOSP OF PHILADELPHIA · PI FORREST, CHRISTOPHER B, MOON, JEANHEE · 2018 to 2022
$4.0M
Identifying Meaningful Metrics of Neonatal Antibiotic UseK08HS027468 · AHRQ · CHILDREN'S HOSP OF PHILADELPHIA · PI FLANNERY, DUSTIN DANIEL · 2020 to 2024
$719k
AHRQ HHS K08 HS027468AHRQ HHS K12 HS026393
6 · The paper itself

Abstract

Infants admitted to the neonatal intensive care unit, particularly those born preterm, are at high risk for infection due to the combination of an immature immune system, prolonged hospitalization, and frequent use of invasive devices. Emerging evidence suggests that multidrug-resistant gram-negative (MDR-GN) infections are increasing in neonatal settings, which directly threatens recent and ongoing advances in contemporary neonatal care. A rising prevalence of antibiotic resistance among common neonatal pathogens compounds the challenge of optimal management of suspected and confirmed neonatal infection. We review the epidemiology of MDR-GN infections in neonates in the United States and internationally, with a focus on extended-spectrum β-lactamase (ESBL)-producing Enterobacterales and carbapenem-resistant Enterobacterales (CRE). We include published single-center studies, neonatal collaborative reports, and national surveillance data. Risk factors for and mechanisms of resistance are discussed. In addition, we discuss current recommendations for empiric antibiotic therapy for suspected infections, as well as definitive treatment options for key MDR organisms. Finally, we review best practices for prevention and identify current knowledge gaps and areas for future research. IMPACT: Surveillance and prevention of MDR-GN infections is a pediatric research priority. A rising prevalence of MDR-GN neonatal infections, specifically ESBL-producing Enterobacterales and CRE, compounds the challenge of optimal management of suspected and confirmed neonatal infection. Future studies are needed to understand the impacts of MDR-GN infection on neonatal morbidity and mortality, and studies of current and novel antibiotic therapies should include a focus on the pharmacokinetics of such agents among neonates.

Indexed as

Drug Resistance, BacterialGram-Negative Bacterial InfectionsHumansInfant, NewbornInfant, Newborn, Diseases

Identifiers

PMID34599280
PMCPMC8819496
OpenAlexW3201798612

What OpenQuestion holds

Textmetadata
LicenceTDM
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.