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Recruiting NCT05742490

Neonatal Infection Surveillance Database

— Observational Neonatal Infection

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
This is an observational study: the protocol does not assign a study treatment.
Who it may be relevant to
Registry conditions: Neonatal Infection. Basic parameters: 1 Minute — 12 months · All.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
United Kingdom
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →

Unsure about the terms? Read our patient guide →

Overview

NeonIN is a is a neonatal infection surveillance database which will facilitate active surveillance for bacterial infections through a network of neonatal units, using standardised definitions, proformas and microbiological techniques. The centralised and secure web-based database will allow real-time entry of data and rapid and timely analysis of results.

Detailed description

The neonIN surveillance network captures data on episodes of invasive neonatal infection on a web-based database (www.neonin.org.uk). Over 25 UK neonatal units currently contribute to this database in real-time. An episode of neonatal infection is defined as a positive culture collected from a normally sterile site such as the blood, cerebrospinal fluid (CSF) or urine (via catheter or suprapubic aspirate) for which clinicians prescribed at least five days of appropriate antibiotics. Clinical, demographic and microbiological data (including antimicrobial susceptibilities) are collected using a standardised online questionnaire, and denominator data regarding the total number of live-births and neonatal-admissions are collected for each neonatal unit.

Primary outcome measures

  • Incidence of infection [Time frame: 6 months]
  • Antibiotic susceptibility [Time frame: 6 months]
  • Features of bacterial infections [Time frame: 6 months]

Eligibility criteria

Inclusion criteria

  • Infants on participating Neonatal Units who have an episode of infection with a positive culture

Exclusion criteria

\-

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Study design

Observational model
Cohort

Study locations

United Kingdom · 1 center
  • St George's University of London — London

Publications

  • Gkentzi D, Kortsalioudaki C, Cailes BC, Zaoutis T, Kopsidas J, Tsolia M, Spyridis N, Siahanidou S, Sarafidis K, Heath PT, Dimitriou G; Neonatal Infection Surveillance Network in Greece. Epidemiology of infections and antimicrobial use in Greek Neonatal Units. Arch Dis Child Fetal Neonatal Ed. 2019 May;104(3):F293-F297. doi: 10.1136/archdischild-2018-315024. Epub 2018 Jun 28. PMID 29954881
  • Wang J, Kortsalioudaki C, Heath PT, Buttery J, Clarke P, Gkentzi D, Anthony M, Tan K; neonIN network. Epidemiology and healthcare factors associated with neonatal enterococcal infections. Arch Dis Child Fetal Neonatal Ed. 2019 Sep;104(5):F480-F485. doi: 10.1136/archdischild-2018-315387. Epub 2018 Nov 13. PMID 30425112
  • Cailes B, Kortsalioudaki C, Buttery J, Pattnayak S, Greenough A, Matthes J, Bedford Russell A, Kennea N, Heath PT; neonIN network. Antimicrobial resistance in UK neonatal units: neonIN infection surveillance network. Arch Dis Child Fetal Neonatal Ed. 2018 Sep;103(5):F474-F478. doi: 10.1136/archdischild-2017-313238. Epub 2017 Oct 26. PMID 29074716
  • Cailes B, Kortsalioudaki C, Buttery J, Pattnayak S, Greenough A, Matthes J, Bedford Russell A, Kennea N, Heath PT; neonIN network. Epidemiology of UK neonatal infections: the neonIN infection surveillance network. Arch Dis Child Fetal Neonatal Ed. 2018 Nov;103(6):F547-F553. doi: 10.1136/archdischild-2017-313203. Epub 2017 Dec 5. PMID 29208666
  • Sapuan S, Kortsalioudaki C, Anthony M, Chang J, Embleton ND, Geethanath RM, Gray J, Greenough A, Lal MK, Luck S, Pattnayak S, Reynolds P, Russell AB, Scorrer T, Turner M, Heath PT, Vergnano S. Neonatal listeriosis in the UK 2004-2014. J Infect. 2017 Mar;74(3):236-242. doi: 10.1016/j.jinf.2016.11.007. Epub 2016 Nov 17. PMID 27867063

Identifiers

NCT: NCT05742490 · 05.0093

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗